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i KEROPOK LEKOR SALES AND STOCK FORECAST SYSTEM USING WEIGHTED MOVING AVERAGE METHOD NUR ATHIRAH BINTI FAZILAH BACHELOR OF COMPUTER SCIENCE (SOFTWARE DEVELOPMENT) WITH HONOURS FACULTY OF INFORMATIC AND COMPUTING UNIVERSITI SULTAN ZAINAL ABIDIN JULY 2020
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Page 1: KEROPOK LEKOR SALES AND STOCK FORECAST SYSTEM USING … · 2020. 7. 16. · This is to confirm that this final year project entitled Keropok Lekor Sales and Stock Forecast System

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KEROPOK LEKOR SALES AND STOCK FORECAST SYSTEM USING

WEIGHTED MOVING AVERAGE METHOD

NUR ATHIRAH BINTI FAZILAH

BACHELOR OF COMPUTER SCIENCE

(SOFTWARE DEVELOPMENT) WITH HONOURS

FACULTY OF INFORMATIC AND COMPUTING

UNIVERSITI SULTAN ZAINAL ABIDIN

JULY 2020

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DECLARATION

This dissertation submits as a partial fulfilment for the award of a Bachelor of

Computer Science (Software Development) with Honours at the University Sultan

Zainal Abidin (UniSZA), Terengganu, Malaysia. This work is a result of my

investigation. All section of the text and results, which have been obtaining from

other sources are fully referenced.

___________________________

Name : Nur Athirah Binti Fazilah

Date : …………………………...

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CONFIRMATION

This is to confirm that this final year project entitled Keropok Lekor Sales and

Stock Forecast System using Weighted Moving Average Method has been prepared

and submitted by Nur Athirah Binti Fazilah with matric number BTAL17046179

and has found satisfactory in terms of scope, quality, and presentation as a part of

the requirement for the Bachelor of Computer Science in Software Development in

University Of Sultan Zainal Abidin (UniSZA). The research conducted and the

writing of this report was under my supervision.

____________________________

Name : Mr. Abd Rasid Bin Mamat

Date : …………………………….

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DEDICATION

I would like to express my deepest appreciation to all who provided me the

possibility to completing my final year project Keropok Lekor Sales and Stock

Forecast System using Weighted Moving Average Method successfully. A special

gratitude goes to my supervisor, Mr. Abd Rasid Bin Mamat for guiding me in the

development of this project. My warmest gratitude for my Final Year Project panels

for aiding my system and giving the feedback and valuable guidance.

I take this opportunity to thank my parents and my family for giving moral support

and encouragement. Special thanks to all lectures under Faculty of Informatics and

Computing for their attentions, guidance and advice in developing this project. I,

sincere thanks to my fellow friends for their help in finishing this project.

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ABSTRACT

D’no Corner Keropok Lekor is a small industrial company produce, sells and

supplies keropok lekor that located in Kuala Terengganu. D’no Corner Keropok

Lekor manages its business manually like most other small businesses. In order to

help this company expands their business, this system is created to meet the

demands of today’s market as technology advances towards Industrial Revolution

4.0.

Due to the fact that this business process is being run manually, it is difficult for

the company to run the data recording process. Businesses need to record every

stock inventory that has been produced and also record the sales and orders from

customers. It is difficult for the company to estimate the quantity of each product

produced each month. The estimation of product is very crucial to avoid excessive

production and ensure the supply is always sufficient in meeting customers' needs.

To overcome the problems faced, methods and techniques that can be used to solve

the problem are by using Weighted Moving Average Method. By using this

technique, sequence of data points measured and analysed in intervals of weekly,

monthly, quarterly or yearly. This analysis of time series in past can be used to

make decisions and predict future trends. It will predict the amount of production

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that must be produced by the company with the appropriate amount and be able to

avoid excess or deficiency in production.

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ABSTRAK

D'no Corner Keropok Lekor adalah syarikat perindustrian kecil yang

menghasilkan, menjual dan membekalkan keropok lekor yang terletak di Kuala

Terengganu. D'no Corner Keropok Lekor mengurus perniagaannya secara manual

seperti kebanyakan perniagaan kecil lain. Untuk membantu syarikat ini

mengembangkan perniagaan mereka, sistem ini diwujudkan untuk memenuhi

permintaan pasaran hari ini sebagai kemajuan teknologi ke arah Revolusi Industri

4.0.

Oleh kerana proses perniagaan ini dijalankan secara manual, sukar bagi syarikat

untuk menjalankan proses merekod data. Perniagaan perlu merekodkan setiap

inventori stok yang telah dihasilkan dan juga merekodkan jualan dan pesanan dari

pelanggan. Adalah sukar untuk syarikat menganggarkan kuantiti setiap produk

yang dihasilkan setiap bulan untuk mengelakkan pengeluaran yang berlebihan dan

memastikan bekalan sentiasa mencukupi untuk memenuhi keperluan pelanggan.

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Untuk mengatasi masalah yang dihadapi, kaedah dan teknik yang boleh digunakan

ialah “Weighted Moving Average Method”. Dengan menggunakan teknik ini,

urutan titik data diukur dan dianalisa dalam selang mingguan, bulanan, suku

tahunan atau tahunan. Analisis masa ini boleh digunakan untuk membuat

keputusan dan meramalkan trend masa depan. Ia akan meramalkan jumlah

pengeluaran yang mesti dihasilkan oleh syarikat dengan jumlah yang sesuai dan

dapat menghindari kelebihan atau kekurangan dalam pengeluaran.

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TABLE OF CONTENTS

DECLARATION ......................................................................ii

CONFIRMATION ...................................................................iii

DEDICATION ......................................................................... iv

ABSTRACT.............................................................................. v

ABSTRAK.............................................................................. vii

LIST OF FIGURES ................................................................ xii

LIST OF TABLES .................................................................. xv

CHAPTER 1 ............................................................................. 1

INTRODUCTION..................................................................... 1

1.1 Introduction......................................................................................... 1

1.2 Problem Statement ................................................................................ 2

1.3 Objective .............................................................................................. 3

1.4 Scope .................................................................................................... 3

1.4.1 Admin ............................................................................................. 4

1.4.2 Employee ........................................................................................ 4

1.4.3 Customer ........................................................................................ 5

1.5 Implementing and Planning ................................................................... 6

1.6 Limitation of Works .............................................................................. 8

1.7 Expected Result ....................................................................................... 8

CHAPTER 2.................................................................................................... 9

LITERATURE REVIEW................................................................................ 9

2.1 Introduction .......................................................................................... 9

2.2 Related Research Techniques and Tools ................................................10

2.3 Weighted Moving Average Method ......................................................13

2.4 Summary .............................................................................................14

CHAPTER 3.................................................................................................. 15

METHODOLOGY ........................................................................................ 15

3.1 Introduction .........................................................................................15

3.2 Iterative Model.....................................................................................15

3.3 Methodology Phase ..............................................................................16

3.3.1 Initial P lanning Phase.......................................................................17

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3.3.2 Planning Phase ................................................................................17

3.3.3 Analysis and Design Phase ...............................................................17

3.3.4 Implementation Phase .......................................................................18

3.3.5 Testing Phase....................................................................................18

3.3.6 Deployment and Evaluation Phase....................................................19

3.4 Hardware and Software Requirement ....................................................19

3.4.1 Software Requirement.......................................................................19

3.4.2 Hardware Requirement .....................................................................21

3.5 Example of Implementation on Data and Calculation for Forecasting by

Using Weighted Moving Average Method .....................................................22

3.6 Context Diagram ..................................................................................24

3.7 Data Flow Diagram ..............................................................................25

Data Flow Diagram Level 0 ..........................................................................25

Data Flow Diagram Level 1 ..........................................................................28

3.8 Entity Relationship Diagram .................................................................31

3.9 Data Dictionary.......................................................................................32

Table Employee............................................................................................33

Table Product ...............................................................................................34

Table Purchase .............................................................................................34

Table Order ..................................................................................................36

Table Payment ..............................................................................................36

Table Product Detail .....................................................................................37

Table Position Detail.....................................................................................38

CHAPTER 4.................................................................................................. 39

IMPLEMENTATION ................................................................................... 39

4.1 Introduction........................................................................................39

4.2 Implementation of System ...................................................................39

4.3 Programming Language ......................................................................40

4.4 Interface Design ................................................................................40

CHAPTER 5.................................................................................................. 69

TESTING AND RESULT ............................................................................. 69

5.1 Introduction ............................................................................................69

5.2 Testing Analysis .....................................................................................70

5.3 Test Case ................................................................................................70

5.4 Chapter Summary ...................................................................................77

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CHAPTER 6.................................................................................................. 78

RESULT AND CONCLUSION .................................................................... 78

6.1 Introduction .........................................................................................78

6.2 Project Contribution ............................................................................78

6.3 Result Discussion ................................................................................79

6.4 Project Constraints And Limitation .......................................................79

6.5 Future Work........................................................................................79

6.6 Conclusion ..........................................................................................80

REFERENCES.............................................................................................. 81

APPENDIX A ................................................................................................ 83

SOURCE CODE : IMPLEMENTATION OF WEIGHTED MOVING

AVERAGE METHOD .................................................................................83

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LIST OF FIGURES

NO FIGURE TITLE PAGE

3.1 Iterative Model 16

3.2 Context Diagram 24

3.3 Data Flow Diagram Level 0 for Admin 25

3.4 Data Flow Diagram Level 0 For Employee 26

3.5 Data Flow Diagram Level 0 for Customer 27

3.6 Data Flow Diagram Level 1 For Manage Product 28

3.7 Data Flow Diagram Level 1 For Manage Employee 29

3.8 Data Flow Diagram Level 1 For Manage Order 30

3.9 Entity Relationship Diagram 31

4.1 Login Interface 41

4.2 Home Interface 42

4.3 Walk in Purchase 43

4.4 Point of Sale 44

4.5 Confirm Payment 44

4.6 New Online Order 45

4.7 Verify Payment 46

4.8 Transaction Details 47

4.9 Print Transaction Details 47

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4.10 Manage Employee 48

4.11 Add New Employee 49

4.12 Edit Employee Details 49

4.13 Manage Product 50

4.14 Add New Product 51

4.15 Edit Product Details 52

4.16 Daily Sales and Stock Report 52

4.17 Sales and Stock Report 53

4.18 Forecasting Sales 53

4.19 Edit Account Info 54

4.20 Walk in Purchase 55

4.21 Point of Sale 56

4.22 Confirm Payment 56

4.23 Print Transaction Details 57

4.24 Manage Product Details 58

4.25 Manage Details 59

4.26 Customer Homepage 60

4.27 Customer Register 60

4.28 Customer Login Page 61

4.29 Home 62

4.30 Profile Details 62

4.31 Edit Profile Details 63

4.32 View Product 64

4.33 Add To Cart 64

4.34 Payment Process 65

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4.35 Upload Receipt 66

4.36 Current Status 66

4.37 Purchase History 67

4.38 About 67

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LIST OF TABLES

NO TABLE TITLE PAGE

1.1 Gannt Chart 6

3.4.1 Software Requirement 19

3.4.2 Hardware Requirement 21

3.5.1 Demand for Defence Machinery 22

3.9.1 Table Employee 33

3.9.2 Table Customer 33

3.9.3 Table Product 34

3.9.4 Table Purchase 35

3.9.5 Table Order 36

3.9.6 Table Payment 37

3.9.7 Product Detail 37

3.9.8 Position Detail 38

5.1 Test Case Fail Login 71

5.2 Test Case Admin Success Login 72

5.3 Test Case Employee Success Login 72

5.4 Test Case Customer Success Login 73

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5.5 Test Case Add New Employee 73

5.6 Test Case Update Employee Details 74

5.7 Test Case Add New Product 74

5.8 Test Case Update Product Details 74

5.9 Test Case Delete Product 75

5.10 Test Case Walk in Purchase 75

5.11 Test Case Customer Purchase 76

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LIST OF APPENDIX

APPENDIX TITLE PAGE

A SOURCE CODE : IMPLEMENTATION OF 91

WEIGHTED MOVING AVERAGE METHOD

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ABBREVIATION

CD Context Diagram

DFD Data Flow Diagram

ERD Entity Relationship Diagram

SDLC Software development Life

Cycle

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CHAPTER 1

INTRODUCTION

1.1 Introduction

Keropok lekor is one of the well-known traditional Malay snacks originated

from east coast Malaysia which is Terengganu. Keropok lekor are made of fish

usually wolf herring or mackerel with a combination of salt and sago flour. This

mixture will be hand rolled into shape of long tubes similar to sausage or cut into

thin slices and immediately cooked in deep fried or boiled.

Numerous of keropok lekor stalls can be easily found along the road in

Terengganu and most of the business have been run traditionally or manually. D’no

Corner Keropok Lekor is a small industrial company produce, sells and supplies

keropok lekor that located in Kuala Terengganu. In order to help this company

expands their business, this system is created to meet the demands of today’s

market as technology advances towards Industrial Revolution 4.0.

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D’no Corner Keropok Lekor runs it business manually like most other small

businesses. The process involved in this business is the sales of keropok lekor and

record the inventory of keropok lekor. In this system, it proposed to use weighted

moving average method technique to predict the amount of sales and production

that needs to be produced based on current trends.

1.2 Problem Statement

From investigation, there are a few problems that encountered by D’no

Corner Keropok Lekor: -

1.2.1 Difficulties for the customer to place an order

D’no Corner Keropok Lekor only runs direct selling and it make it harder for

customer if they want to place an order or do reservation. Customer need to directly

contact the owner by telephone that will cause miscommunication or loss

information with the employee during the process. This company manually record

the booking information in their booklet. This manual way can cause company’s

manager to be misled and misinformed by the customer.

1.2.2 Difficulties in estimating sales and production of keropok lekor.

The increase in orders monthly will affect keropok lekor productions. The

higher the orders, the higher sales they will earn. So, this company need a method

to estimate how much keropok lekor they need to produce every month to make

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sure that they don’t produce excessive or lack of production based on product sales

data of previous months.

1.3 Objective

The objectives of this projects are as following: -

1.2.3 To design a process flow, structure of user interface and database for

Keropok Lekor Sales and Stock Forecast System.

1.2.4 To develop a system that can manage users order and a system that can

estimates sales and stock of keropok lekor.

1.2.5 To test the capabilities of the Keropok Lekor Sales and Stock Forecast

System and generate the report to the user.

1.4 Scope

Scope can describe as the functionality of a system that relates to activities

between system user and system, which is the information that flows between

system and actors outside of the system. The scope of Keropok Lekor Sales and

Stock Forecast System is Admin, Employee and Customer of D’no Corner Keropok

Lekor.

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1.4.1 Admin

i. Login

ii. Manage profile

iii. Manage stock

iv. Manage stock prediction

v. Manage sales prediction

vi. Manage cash purchase

vii. View report

viii. Logout

1.4.2 Employee

i. Login

ii. Manage profile

iii. Manage stock

iv. Manage order

v. Verify transaction

vi. Manage cash purchase

vii. View report

viii. Logout

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1.4.3 Customer

i. Login

ii. Manage profile

iii. View keropok lekor detail

iv. Make order

v. Make payment

vi. Logout

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1.5 Implementing and Planning

Gannt chart are used to describe activities and timescale that involve in

implementing this project as shown in Table 1.1.

Table 1.1: Gannt Chart

No Task Week

1 2 3 4 5 6 7 8 9 10 11 12 13 14 1 FYP Briefing and

discuss project title

2 Project Title Proposal and

Registration

3 Proposal Writing –

Introduction (Chapter 1)

4 Proposal Writing -

Literature Review (Chapter 2)

5 Proposal Writing Progress

6 Proposal Progress Presentation and Panel’s Evaluation

7 Methodology Workshop

8 Proposal Writing – Methodology

Proof Of Concept (Chapter 3)

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9 Final Year Project

Format Writing Workshop

10 Drafting Report of

Proposal

11 Submit draft

proposal report to supervisor

12 Preparation for Final Presentation

13 Final Presentation

and Panel’s Evaluation

14 Final Report

Submission and Supervisor’s Evaluation

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1.6 Limitation of Works

This system only allow admin to view and manage the stock and sales

prediction. Place an order on system only can be done by user and only employee

can manage order and verify transaction.

1.7 Expected Result

The expected results of this project are to facilitate three parties which is

user, admin and employee in manage the keropok lekor order and view the keropok

lekor sales, forecast stock and stock production. This project has been designed to

keep in view the present and future necessities in mind to make it adaptable.

The goals that are achieved by the system are:

i. Be user friendly and flexible by allowing customers to view and place order

online.

ii. Improved productivity by allow employee to manage customers order, verify

transaction and view sales and stock forecast.

iii. Ease admin to manage stock and manage sales and stock forecast to avoid

excessive or lack of keropok lekor production.

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CHAPTER 2

LITERATURE REVIEW

2.1 Introduction

Forecasting can be viewed as a systematic approach used to analyse the trend

of historical sales data on future demand for projects as a framework for long-term

strategic preparation and as a consideration for several capacity-related decisions.

In this chapter, there are a few ideas of previous research that related to the method

on forecasting compared to make clear description of weighted average square

method as an added value in this system. There are so many techniques used to

make precise forecasts, but each method is different for different market strategies.

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2.2 Related Research Techniques and Tools

A review of the research paper has been conducted to study on how others

implemented the weighted moving average method and other similar forecasting

techniques into their system. As a result, a few research papers have been found.

The first article is conduct by author [1], the research stated that in retail stage

of food supply chain, food waste and stock-outs occur mainly due to inaccurate

forecasting of sales which leads to incorrect ordering of products. The time series

sales in food retail industry are characterized by high volatility and skewness,

which vary by time. So, the interval forecasts are required by the retail companies

to set appropriate inventory policy (reorder point or safety stock level). This paper

attempts to develop a seasonal autoregressive integrated moving average with

external variables (SARIMAX) model to forecast daily sales of a perishable food.

The process of fitting a SARIMAX model in this study involves: (i) the

development of Seasonal Autoregressive Integrated Moving Average (SARIMA)

model and (ii) combining the SARIMA model and the demand influencing factors

using linear regression.

In study of retail unit in the city of João Pessoa by [2] state that it is known

that inventories are one of the key points in retail, in view of their management

directly impacts the level of service that the companies provide. While author [3]

also experiences same problems in predicting the number of products that must be

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bought to suppliers every month to make sure that is no excessive or less in number

of stock in the Gajah Bintang Company. The importance of inventory management

is to balance the supply and demand of items, in order to reduce the capital retained

in items that do not present demand for their consumption. Both of this works was

assisted by Weighted Moving Average Method that is essential, given that past data

show future sales projections.

The next author [4] applied that there are methods and techniques that can be

used to solve the problem are by using time series modelling that is data with a

pattern or trend. There are two stages in time series modelling that is Univariate

Forecasting for one variable and Multivariate Forecasting for many variables. This

project will use Univariate Forecasting because it will forecast one variable from

trend alone in forecasting techniques. The study conducted by [5] implied that

methodologies that have been used in sales forecasting are typically time series

algorithms that can be classified as linear or nonlinear, depending on the nature of

the model they are based on. Linear models, like autoregressive moving average

(ARMA) and autoregressive integrated moving average are the most popular

methodologies, but their forecasting ability is limited by their assumption of a linear

behaviour and thus, it is not always satisfactory. The author [6] reveal that

exponential smoothing method which results to least forecast error is the best

method to determine accurate demand forecasts using 12 monthly sales figures of

a moderate busy pharmacy. Author concluded that the exponential weighted

moving average was preferred compared to the simple and linear weighted moving

average [7].

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Even though the performance of the EWMA method significantly decreases

when applying to forecast data, it is most suitable for short-range forecasting.

Exponentially Weighted Moving Average (EWMA) method to forecast lime prices

during January 2016 to September 2016 gives the smallest forecasting error

measured by the Mean Absolute Percentage Error (MAPE) [8]. Forecasting has

always been an attractive research area since it plays an important role in business

planning. To achieve competitive advantage in an environment subject to constant

fluctuations, organizations have to make correct and timely decisions based on

accurate information-forecast [6].

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2.3 Weighted Moving Average Method

A time series is a sequence of data points usually measured and analysed in

intervals of weekly, monthly, quarterly or yearly. This analysis of time series in past

can be used to make decisions and predict future trends.

One method that can be used to predict the time series is (WMA). Weighted

Moving Average Method gives you a weighted average of the last n prices by putting

more weight on recent data and less on past data.

The WMA is calculated by multiplying each bar’s price by its associated

weighting factors and totalling the values.

The formula for the WMA is as follows:

WMAs can have different weights assigned based on the number periods

used in the calculation. Because of its unique calculation, WMA will follow prices

more closely than a corresponding Simple Moving Average.

WMA = (Price * weighting factor) + (Price previous period * weighting factor-1) + … (1)

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2.4 Summary

In conclusion, it is very crucial in choosing the correct method to ensure that

the system has successfully implemented and accomplished the purpose. The

technique selected is the Weighted Moving Average Method that can correctly

forecast the keropok lekor sales and stock since it has more accurate measure of

recent price action.

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CHAPTER 3

METHODOLOGY

3.1 Introduction

Methodology is the set of the complete guideline that includes the Software

Development Life Cycle (SDLC) tool models for carrying out activities. That splits

the work into the phases of the operation for improved system development

planning and management.

3.2 Iterative Model

The methodology that will be used in developing Keropok Lekor Sales and

Forecasting System Using Weighted Moving Average Method is Iterative Model.

This model is driven by the risk analysis and evaluation requirements and keeps on

iterating, covering each phase of the model repeatedly,

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until the final products produced satisfy all the requirements that were evolved

before and during the development process.

There are six phases involved in the iterative model which is initial planning

phase, planning phase, analysis and design phase, implementation phase, testing

phase, deployment and evaluation phase.

Figure 3.1: Iterative Model

3.3 Methodology Phase

The explanation of each phase involves for developing Keropok Lekor Sales

and Forecasting System Using Weighted Moving Average Method as below: -

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3.3.1 Initial Planning Phase

This phase involves brainstorming the project idea and proposed the title of

project. Keropok Lekor Sales and Forecasting System Using Weighted Moving

Average Method has been decided as the project title.

3.3.2 Planning Phase

Planning phase is the most crucial phase as a guideline to develop the system.

In this phase, requirement is gathered through consistent interaction with D’no

Corner Keropok Lekor owner. All resources like product information, sales details

and business income are collected by interview the owner to make sure this system

meet the system requirement and functionality requirement. Clear project has been

sort out during this phase. To make sure this system follows the timeline, schedule

has been made which is Gantt chart to make sure that this project still on track and

can be done on estimate time.

3.3.3 Analysis and Design Phase

In analysis phase, review on few research paper and journal has been

conducted to study on how others implemented the Weighted Moving Average

Method and other similar forecasting techniques into their system. This will give

better understanding on selected forecasting technique compare to technique that

has been used by other researchers. Weighted Moving Average Method was

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decided to be the approach in this project. Methodology, technique, software and

hardware requirement are also decided during this phase to ensure that every

requirement are compatible with the system.

Design phase of this system is done based on output of analysis phase. The

Context Diagram (CD), Data Flow Diagram (DFD), and Entity Relationship

Diagram (ERD) are designed at this phase to interpret the process flow of Keropok

Lekor Sales and Forecasting System. System interface and database are design

based on requirement.

3.3.4 Implementation Phase

This is a phase where activities that have been planned during previous phase

are executed. This system is developed by using XAMPP, MySQL and Notepad++.

During this phase, database and interface that has been designed are started to be

developed. The process of writing coding is started during this phase.

3.3.5 Testing Phase

After system has fully developed, testing is being done on the system. for this

system, white box and white box testing has been used which this system is

repeatedly tested to ensure that it is working correctly and there is no bug in that

module. In this phase, code and programming are analyse to make sure it works

according to customer requirements. And while it's not possible to solve all the

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failures that might find during the testing phase, it is possible to use the results from

this phase to reduce the number of errors within the software program.

3.3.6 Deployment and Evaluation Phase

In this phase, the system is ready to be tested by user. The users will evaluate

this system and give their feedback based on their experienced. The evaluation will

be use to improve the system whether changes are needed to make sure that it

fulfills all the requirements.

3.4 Hardware and Software Requirement

Hardware and software play a major role in the development of a system as

a standard requirement that determines the system's achievement. To build a

successful system, this standard requirement relates to one another.

3.4.1 Software Requirement

Table 3.4.1: Software Requirement

Software Description / Purpose

Microsoft Office Word 2016

Use to prepare documentation of the report

Draw.io An online software use to draw Context

Diagram and Data Flow Diagram

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PHPMyAdmin A database system to create Entity

Relationship Diagram

Google Drive Storage system use to backup all project

document

Microsoft Powerpoint 2016 Use to prepare slide presentation

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3.4.2 Hardware Requirement

Table 3.4.2: Hardware Requirement

Hardware Type

HP Laptop Windows edition: Windows 10 Home

Single Language

Processor: AMD A6-9220 RADEON

R4, 5 COMPUTE CORES 2C+3G

2.5GHz

Installed memory (RAM): 4.00GB

System type: 64-bit Operating System

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3.5 Example of Implementation on Data and Calculation for

Forecasting by Using Weighted Moving Average Method

Table 3.5.1 shows the demand for defence machinery for a certain project for

month 1 to 5. The implementation of Weighted Moving Average Method on

forecasting are as following: -

Table 3.5.1: Demand for Defence Machinery

Determine the weighted moving average equation.

To simplify the calculations, as shown in Table 3.5.1, each year will have its

own weightage, which is more weight on recent data and less on past data. WMA are

calculated by multiplying each bar’s price by its associated weighting factors

and totalling the values.

Implementation of the WMA method can be shown as below: -

Month Demand Weightage

1 120 5/15

2 110 4/15

3 90 3/15

4 115 2/15

5 125 1/15

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From this example, demand of defence machinery for month 6 is 142.

WMA = (Price * weighting factor) + (Price previous period * weighting factor-1) + … (1)

WMA = (120× 5

15 ) + (110×

4

15) + (90×

3

15) + (115×

2

15) + (125×

1

15)

= 142

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3.6 Context Diagram

Figure 3.2 shows context diagram for Keropok Lekor Sales and Stock

Forecast System using Weighted Moving Average Method. There are 3 entities

involve in this context diagram which is ADMIN, EMPLOYEE and CUSTOMER.

Employee

Figure 3.2 : Context Diagram

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3.7 Data Flow Diagram

Data Flow Diagram Level 0

Based on Figure 3.3 below, there are six processes involve in Admin module,

where Admin can log in as a first step to get into the system. After login, Admin

can Manage Profile, Manage Stock, Manage Stock Prediction, Manage Sales,

Manage Cash Purchase and Generate Report from the system. At the end of

process, Admin can log out from the system.

Figure 3.3 : Data Flow Diagram Level 0 for Admin

Employee

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Based on Figure 3.4 below, there are six processes involve in Employee

module, where Employee can log in as a first step to get into the system. After

login, Employee can Manage Profile, Manage Stock, Manage Order, Verify

Transaction, Manage Cash Purchase and Generate Report from the system. At the

end of process, Employee can log out from the system.

Figure 3.4 : Data Flow Diagram Level 0 For Employee

Employee

Employee

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Based on Figure 3.5 below, there are three processes involve in Customer

module, where Customer can log in as a first step to get into the system. After login,

Customer can Manage Profile, Make Order and Make Payment. At the end of

process, Customer can log out from the system.

Figure 3.5 : Data Flow Diagram Level 0 for Customer

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Data Flow Diagram Level 1

Based on Figure 3.6 below, there are four processes involve in Manage

Product. Admin can register new product, update products details, remove product.

Admin and Employee share the role to update or add the new quantity of product.

Figure 3.6 : Data Flow Diagram Level 1 For Manage Product

Employee

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Based on Figure 3.7 above, there are three processes involve in Manage

Employee. Admin can register new employee, update employee profile and remove

employee.

Figure 3.7 : Data Flow Diagram Level 1 For Manage Employee

Employee data Employee information

Employee detail Employee data

New employee info

Employee details

Employee data

Employee

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Based on Figure 3.8 below, there are three processes involve in Manage

Order. Customer can make a new order, update order and cancel order.

Figure 3.8 : Data Flow Diagram Level 1 For Manage Order

Employee

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3.8 Entity Relationship Diagram

An entity relationship diagram (ERD) illustrates an information system’s entities

and the relationship between those entities. ERD composed of three things such as

identifying and defining the entities, determine entities interaction and the

cardinality of the relationship. Figure 3.9 below shows the relationship between

entities that exist in this develop system database.

Figure 3.9: Entity Relationship Diagram

Employee

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3.9 Data Dictionary

Data dictionary is a file or a set of files that contains a database's metadata.

The data dictionary contains records about other objects in the database, other data,

data relationships to other objects, and such as data ownership. The data dictionary

is important component a relational database. For most relational database

management systems (RDBMS), the database management system software needs

the data dictionary to access the data within a database.

1. TABLE employee

2. TABLE customer

3. TABLE product

4. TABLE purchase

5. TABLE order

6. TABLE payment

7. TABLE product detail

8. TABLE position detail

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Table Employee

Table 3.9.1 shows table for employee. Primary key for this table is

EmployeeID.

Table 3.9.1 : Table Employee

No Column Type Length Null Key

1 EmployeeID varchar 10 No PK

2 employeeName varchar 50 No

3 password varchar 50 No

4 position varchar 12 No

5 phoneNo varchar 12 No

Table Customer

Table 3.9.2 shows table for customer. Primary key for this table is CustID.

Table 3.9.2 : Table Customer

No Column Type Length Null Key

1 custID varchar 10 No PK

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2 custName varchar 50 No

3 custAddress varchar 100 No

4 phoneNo varchar 12 No

5 password varchar 50 No

Table Product

Table 3.9.3 shows table for product. Primary key for this table is

productID and the foreign key is EmployeeID.

Table 3.9.3 : Table Product

No Column Type Length Null Key

1 productID varchar 10 No PK

2 productname varchar 50 No

3 priceperKg int 5 No

4 image varchar 50 No

5 EmployeeID varchar 10 No FK

Table Purchase

Table 3.9.4 shows table for purchase. Primary key for this table is

purchaseID and the foreign key is EmployeeID, paymentID and custID.

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Table 3.9.4 : Table Purchase

No Column Type Length Null Key

1 purchaseID varchar 10 No PK

2 EmployeeID varchar 10 No FK

3 paymentID varchar 10 No FK

4 datePurchase date 8 No

5 totalPurchase int 11 No

6 custID varchar 10 No FK

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Table Order

Table 3.9.5 shows table for order. Primary key for this table is orderID

and the foreign key is EmployeeID, productID and custID.

Table 3.9.5 : Table Order

No Column Type Length Null Key

1 orderID varchar 10 No PK

2 custID varchar 10 No FK

3 productID varchar 10 No FK

4 dateorder date 10 No

5 quantity varchar 11 No

6 EmployeeID varchar 10 No FK

Table Payment

Table 3.9.6 shows table for payment. Primary key for this table is

paymentID and the foreign key is custID.

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Table 3.9.6 : Table Payment

No Column Type Length Null Key

1 paymentID varchar 10 No PK

2 datepayment date 8 No

3 custID varchar 10 No FK

Table Product Detail

Table 3.9.7 shows table for product detail. Primary key for this table is

productname.

Table 3.9.7 : Product Detail

No Column Type Length Null Key

1 productname varchar 10 No FK

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Table Position Detail

Table 3.9.8 shows table for position detail. Primary key for this table is

position.

Table 3.9.8 : Position Detail

No Column Type Length Null Key

1 position varchar 10 No FK

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CHAPTER 4

IMPLEMENTATION

4.1 Introduction

Implementation is the process of executing, performing, or practicing the

method, design or model according to the specification given by the user requirement

in previous chapter. The main aim of this chapter is to show on the flow of the system

during the development process.

4.2 Implementation of System

A few of programming languages has been used in order of developing Keropok

Lekor Sales and Stock Forecast System. Notepad++ version 7.8.1 is a programming

platform that are used for writing the code and Xampp version 1.8.3-5 (v 3.2.2) with

Apache version 2.4.10 are used to run the localhost server.

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The system interface design is using the bootstrap template from Start Bootsrap.

The serverside programming language is using the Hypertext Preprocessor (PHP) which

is one of widely used programming language by developer. PHP is a tool for making

dynamic and interactive Web Pages and have general purpose scripting language which

can be embedded into HTML.

4.3 Programming Language

PHP – use for form processes

HTML5 – use to design interfaces

4.4 Interface Design

The interface design which will be used for developing the system is shown as

below. The interface is developed from the data decomposition and the system

requirements. This system can be divided into 3 users which us Admin, Employee and

Customer.

4.4.1 Admin

Admin must login to the system before they can access to their module. The

interface for Admin to login into the system as shown in Figure 4.1.

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4.4.1.1 Login Interface

The security of login interface for admin applied to the double security. This

technique increases the security of the system and avoids the unauthorized user login to

the system. It also ensures the system protects the user information. The first login asks

the employee id and password; the admin page will be fetched. If the employee id and

password are wrong, the system will display an error message such as “Employee ID or

Password Not Registered!”.

Figure 4.1 : Login Interface

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4.4.1.2 Home

In this module, admin have access to this page. This page display tabs that

show the number of customers, employees and products registered in the system

database.

Figure 4.2 : Home Interface

4.4.1.3 Walk in Purchase

Figure 4.3 below shows walk in purchase page that admin has access to it. This

page allows admin to input number of product that customer buy during walk in

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purchase. After entering number of products that customer buy, admin will proceed the

process like in Figure 4.4. Figure 4.4 is point of sale, which system will list of the

product that purchased by customer and admin need to input how much customer pay.

The transaction will conclude as success when admin click proceed to payment button

at Figure 4.5 below. In Figure 4.5 need admin to input amount that paid by customer

during walk-in purchase.

Figure 4.3 : Walk in Purchase

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Figure 4.4 : Point of Sale

Figure 4.5 : Confirm Payment

4.4.1.4 New Order

Figure 4.6 below shows lists of new online order that made by customer. This

interface displays details of new order that made such as, transaction id, product,

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quantity of product, status whether have been paid or not, customer id, phone number

and customer address. This interface also let admin to verify customer payment that

shows in Figure 4.7. Figure 4.7 shows interface where admin can update order status.

Admin need to change status from “Paid” to “Done” means that the order has been

settled.

Figure 4.6 : New Online Order

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Figure 4.7 : Verify Payment

4.4.1.5 Transaction

Figure 4.8 below shows lists of transaction that has been made by customer.

This interface displays transaction number, customers name and number of items that

they bought and action that can be made on the list. Admin can print transaction details

when clicking print button. Transaction details will be transform to pdf and can be print

out in Figure 4.9.

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Figure 4.8 : Transaction Details

Figure 4.9 : Print Transaction Details

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4.4.1.6 Manage Employee

Figure 4.10 shows the employee details on this system database. Admin have

grant to edit and delete employees account. This interface displays employee first name,

employee email, and phone number. This interface also allows admin to add new

employee to the system database as shown in Figure 4.11. In Figure 4.11 admin need to

enter new employee details to complete the process. When admin click edit button,

admin can edit employee details such as first name, last name, email, gender, phone

number and others as shown in Figure 4.12.

Figure 4.10 : Manage Employee

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Figure 4.11 : Add New Employee

Figure 4.12 : Edit Employee Details

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4.4.1.7 Product Details

One of admin scope is manage product. In Figure 4.13 shows the product details.

This interface displays product code, product name, image of product, price of product

per kilogram action that can be made on products. Admin are allowed to add new

product to system database by clicking add new product as shown in Figure 4.14. Admin

need to enter product details to add new product to system database. When click update

button, admin is allowed to update existed product details as shown in Figure 4.15. On

this interface, admin also allowed to delete product that exited in the database.

Figure 4.13 : Manage Product

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Figure 4.14 : Add New Product

Figure 4.15 : Edit Product Details

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4.4.1.8 Report

In report function, there are three interfaces which are daily sales and stock

forecast, sales and stock report and forecasting sales interface. Figure 4.16 shows daily

sales report interface. This interface display date, list of product, total in kilogram that

has been sold and total sales. This interface allows admin to search daily total sales

based on product. Admin also can print out the report. On Figure 4.17 shows sales and

stock forecast. In this interface, admin can search total sales and total product sold based

on two intervals of time such as week, month or year. Admin also can print out the

report. While on Figure 4.18, shows forecasting sales interface. This interface is where

this system method was applied. This interface display total current sales based on

selected date and will output forecast sales for next date. Admin can print out this

forecasting table by clicking “Print” button.

Figure 4.16 : Daily Sales and Stock Report

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Figure 4.17 : Sales and Stock Report

Figure 4.18 : Forecasting Sales

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4.4.1.9 Manage Profile

Figure 4.19 shows interface for admin to edit own account information. Admin

can edit first name, last name, gender, employee ID, password, email, phone number,

hired date and address.

Figure 4.19 : Edit Account Info

4.4.2 Employee

Admin and employee has similar interface with difference of scope which are

employee cannot access manage employee interface and report interface. Employee are

restricted to the interfaces. Employee need to log in first to the system before access

employee interface as shown in Figure 4.1.

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4.4.2.1 Home

Employee is permitted to access this interface. The interface involved such as

Figure 4.2. This page display tabs that show the number of customers, employees and

products registered in the system database.

4.4.2.2 Walk in Purchase

Figure 4.20 below shows walk in purchase page that admin has access to it. This

page allows employee to input number of product that customer buy during walk in

purchase. After entering number of products that customer buy, employee will proceed

the process like in Figure 4.21. Figure 4.21 is point of sale, which system will list of the

product that purchased by customer and employee need to input how much customer

pay. The transaction will conclude as success when employee click proceed to payment

button at Figure 4.22 below.

Figure 4.20 : Walk in Purchase

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Figure 4.21 : Point of Sale

Figure 4.22 : Confirm Payment

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4.4.2.3 Print Transaction Details

Employee are allowed to manage transaction details which they can view and

print out transaction details that have been made by customers before. Figure involved

such as Figure 4.8 and when employee click on button print it will display like in Figure

4.23.

Figure 4.23 : Print Transaction Details

4.4.2.4 Manage Product Details

One of employee scope is manage product. In Figure 4.13 shows the product

details. This interface displays product code, product name, image of product, price of

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product per kilogram and action that can be made on products. Employee can update

product details and delete products from this system database in Figure 4.24.

Figure 4.24 : Manage Product Details

4.4.2.5 Manage Details

Figure 4.25 shows interface for employee to edit own account information.

employee can edit first name, last name, gender, employee ID, password, email, phone

number, hired date and address.

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Figure 4.25 : Manage Details

4.4.3 Customer

Customer can view homepage of this system without need to log in. This

interface display like in Figure 4.26.

4.4.3.1 Customer Homepage

Figure 4.26 below shows customer homepage, where this interface is accessible

to anyone without need to register on log in first. This interface will display Keropok

Lekor Sales and Stock Forecasting System updates, any news or promotions promoted

by system admin.

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Figure 4.26 : Customer Homepage

4.4.3.2 Customer Register

Figure 4.27 shows register interface for new customer. Customer need to

registered first their account before allowed to log in. Customer have to register their

first name, last name, email, password and others.

Figure 4.27: Customer Register

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4.4.3.3 Customer Login

In Figure 4.28 below shows login interface for customer that already have

registered account. Customer need to enter email and password and click log in button.

Figure 4.28 : Customer Login Page

4.4.3.4 Home

After log in to the system, customer is allowed to go to home interface like in

Figure 4.29.

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Figure 4.29 : Home

4.4.3.5 View Profile Details

Figure 4.30 shows profile interface. This interface displays customer id,

password, first name, last name phone number and address. Customer are allowed to

manage their profile details by clicking “Save” button on Figure 4.31.

Figure 4.30 : Profile Details

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Figure 4.31 : Edit Profile Details

4.4.3.6 Make Online Order

Figure 4.31 shows product that registered by admin. To order the product,

customer need to click button “View Product”, and then Figure 4.32 will be shown. On

Figure 4.32, product code, name and product price are displayed. Customer need to

enter quantity product that they want before proceed to next step.

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Figure 4.32 : View Product

Figure 4.33 : Add To Cart

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4.4.3.7 Proceed With Payment

Figure 4.33 shows product that has been added to the cart from previous process.

At this interface, customer can delete product form cart by clicking “Cancel” button.

This interface will display amount that needed to be paid by customer. After that,

customer need to upload receipt payment as shown in Figure 4.34. To upload the receipt,

customer has to click “Pay” button and the receipt will be accepted. If same receipt

uploaded by customer, the system will display message “Sorry the receipt already

exist!” . If receipt are accepted, system will display message “Receipt Accepted” and

current status will be like in Figure 4.35.

Figure 4.34 : Payment Process

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Figure 4.35 : Upload Receipt

Figure 4.36 : Current Status

4.4.3.8 Purchase History

Figure 4.35 shows all purchase history that have been made by customer. This

interface display purchase id, product name, quantity, price and status of the order.

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Figure 4.37 : Purchase History

4.4.3.9 About

Figure 4.36 shows information about D’No Corner Keropok Lekor. This

interface displays phone number, address, operation hours and account number of the

company.

Figure 4.38 : About

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4.5 Chapter Summary

This chapter ensures system develops according to the requirement, the

framework (system modelling) and design are the important factors. Each module

involves in Keropok Lekor Sales and Stock Forecast System Using Weighted Moving

Average Method are described as the data flow. The system builds must be able to be

translated from the DFD and ERD created.

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CHAPTER 5

TESTING AND RESULT

5.1 Introduction

After this system have been developed, this system will go through testing

process to make sure this system developed according to the functional requirement

state by the user and fulfilled the main objective. Testing process is the process of

executing system with the intends of finding errors. The process involve system testing

are unit testing and environmental testing. This chapter outlines the steps necessary to

verify the system is correctly done and performs to the required specifications. The

system also being tested using black box and white box testing.

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5.2 Testing Analysis

This system is tested by using two techniques which are a black box testing and

white box testing after the complete implementation. Testing process need to be done

in order to get correct output based on input.

5.2.1 Black Box Testing

The module involves in this testing are :

Login

Manage Employee

Manage Product

Walk in Purchase

5.2.2 White Box Testing

The module involves in this testing are :

Forecast Product

5.3 Test Case

Test case is a process where a system will be test whether it satisfies requirement

and well function. It is also can be said as a set of step-by-step instructions to verify

something behaves as it is required to behave. The process of developing test cases also

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helps find the problems in the requirement or design of an application. The table below

shows the test cases for several processes of the Keropok Lekor Sales and Stock

Forecast System Using Weighted Moving Average Method.

5.3.1 Login

Table 5.1 : Test Case Fail Login

Step Procedure Expected Result Pass/Fail

1 Go to login page Preview page

loaded

Pass

2 Enter the following details

Username : aaaaa

Password : aaaa1111

Pass

3 Click login button

Message “Invalid

Username and

Password”

Pass

4 Re-enter the correct

username and password

Login page Pass

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Table 5.2 : Test Case Admin Success Login

Step Procedure Expected Result Pass/Fail

1 Go to login page Preview page

loaded

Pass

2 Enter the following details

Employee ID : admin1

Password : admin

Pass

3 Click login button

Login successful

Display admin

interface

Pass

Table 5.3 : Test Case Employee Success Login

Step Procedure Expected Result Pass/Fail

1 Go to login page Preview page

loaded

Pass

2 Enter the following details

Employee ID : afiqah33

Password : test

Pass

3 Click login button

Login successful

Display employee

interface

Pass

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Table 5.4 : Test Case Customer Success Login

Step Procedure Expected Result Pass/Fail

1 Go to login page Preview page

loaded

Pass

2 Enter the following details

CustID : ahmad09

Password : password

Pass

3 Click login button

Login successful

Display customer

interface

Pass

5.3.2 Manage Profile

Table 5.5 : Test Case Add New Employee

Step Procedure Expected Result Pass/Fail

1 Click “Add New Employee” Form to add new

employee

Pass

2 Enter new employee details Pass

3 Click “save” button Display success or

fail message

Pass

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Table 5.6 : Test Case Update Employee Details

Step Procedure Expected Result Pass/Fail

1 Click “Add New Employee” Form to add new

employee

Pass

2 Enter new employee details Pass

3 Click “save” button

Display success or

fail message

Pass

5.3.3 Manage Product

Table 5.7 : Test Case Add New Product

Step Procedure Expected Result Pass/Fail

1 Click “Add New Product” Form to add new

product

Pass

2 Enter new product details Pass

3 Click “save” button

Display success or

fail message

Pass

Table 5.8 : Test Case Update Product Details

Step Procedure Expected Result Pass/Fail

1 Click “Update” button Display list of

registered product

Pass

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2 Choose product that want to

be update

Form to update

product details

3 Enter new product details Pass

4 Click “Save” button

Display success or

fail message

Pass

Table 5.9 : Test Case Delete Product

Step Procedure Expected Result Pass/Fail

1 Click “Delete” button Display list of

registered product

Pass

2 Choose product that want to

be delete

Display success or

fail message

Pass

5.3.4 Walk in Purchase

Table 5.10 : Test Case Walk in Purchase

Step Procedure Expected Result Pass/Fail

1 Click “Walk in Purchase”

from side bar

Display list of

registered product

Pass

2 Choose product customer

purchase, enter quantity and

click button “Add to Cart”

Pass

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3 Click “Submit” button once

customer finish buying

Display Purchase

Summary

Pass

4 Click “Proceed To

Payment” when customer

have paid

Display success or

fail message

Pass

5.3.5 Customer Purchase

Table 5.11 : Test Case Customer Purchase

Step Procedure Expected Result Pass/Fail

1 Click “Our Product” from

top bar

Display list of

registered product

Pass

2 Enter quantity of product that

want to purchase and click

“Add to Cart”

Pass

3 After that click “Item in

Cart”

Display Purchase

Summary

Pass

4 Click “Proceed To

Payment” button

Display success or

fail message

Pass

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5.4 Chapter Summary

The implementation of coding and testing of the system is discussed in this

chapter. For creating the robust and well function system, all test cases must be tested

carefully to ensure the intended result. The main process and the flow of module are

discussed. The system functionally had been tested and evaluated.

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CHAPTER 6

RESULT AND CONCLUSION

6.1 Introduction

For this chapter, the outcome from the project are discussed and concluded. This

chapter summarized the result of the project contribution, the limitation of this project

and the suggestion for the future work.

6.2 Project Contribution

Keropok Lekor Sales and Stock Forecasting System Using Weighted Moving

Average Method is developed to eases the workload of D’No Corner Keropok Lekor

make a prediction on the upcoming stock production. In addition, it also helps customer

to make an online product order. This system has been achieved the objectives and all

scopes had been fulfilled.

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The achievement of this project is :

• This system will keep sales transaction details to the database for every purchase

made ease the company to make forecasting.

• It helps company in make a prediction on the upcoming stock to be produce.

• The easier system for ordering products for customer.

6.3 Result Discussion

This project objective is to make sure that it is easier for customer to place order

on product they want. The product number will reduce automatically from the system

database. This system will keep sales transaction details to the database for every purchase

made ease the company to make forecasting. It helps company in make a prediction on the

upcoming stock to be produce.

6.4 Project Constraints And Limitation

There are several problems and limitation while developing this project. These

are the problems and limitations in conducting the study are :

• This system only can allow order and purchase but not contain inventory to know

how many stock available.

6.5 Future Work

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There a few suggestions that can be made to upgrade the system to be more

efficient in future work. The suggestions that need to be considered are :

• Add functionality on inventory of the product to know how much stock available.

• The product can be group into a few type

6.6 Conclusion

Keropok Lekor Sales and Stock Forecasting System Using Weighted Moving

Average Method is a system of stock prediction as the objectives based on previous

sales record. Based on previous studies and discussion, the suitable approach will be

implemented in this system which is Least Square Method. This system provide an

automated calculation on the next month production that help companies to avoid

exceed of production. Hopefully tis system can help to overcome the problem in order

to make a new production.

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REFERENCES

[1] Arunraj, N. S., & Ahrens, D. (2015). A hybrid seasonal autoregressive integrated

moving average and quantile regression for daily food sales forecasting. International

Journal of Production Economics, 170, 321-335.

[2] Mendonca, L. K. D. (2019). ANÁLISE DA FORMAÇÃO EXCESSIVA DE

ESTOQUE EM UMA UNIDADE VAREJISTA DA CIDADE DE JOÃO PESSOA.

[3] Yudianto, A. (2019). Sales Forecasting System with Weighted Moving Average On

Gajah Bintang Company (Doctoral dissertation, UNIKA SOEGIJAPRANATA

SEMARANG).

[4] Muhammad Hafizzuddin Bin Nasruddin (2018) , ‘Crisp Stock Forecast System

(CSFoS) Using Least Square Method’ . Universiti Sultan Zainal Abidin, Terengganu,

Malaysia.

[5] Doganis, P., Alexandridis, A., Patrinos, P., & Sarimveis, H. (2006). Time series

sales forecasting for short shelf-life food products based on artificial neural networks

and evolutionary computing. Journal of Food Engineering, 75(2), 196-204.

[6] Obamiro, J. K. (2019). Demand Forecasting and Measuring Forecast Accuracy in a

Pharmacy. Acta Universitatis Danubius. Œconomica, 15(3).

[7] Wagner, J. E., Rahn, J., & Cavo, M. (2019). A Pragmatic Method to Forecast

Stumpage Prices. Forest Science.

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[8] Booranawong, T., & Booranawong, A. (2017). An exponentially weighted moving

average method with designed input data assignments for forecasting lime prices in

Thailand. Jurnal Teknologi, 79(6).

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APPENDIX A

SOURCE CODE : IMPLEMENTATION OF WEIGHTED MOVING

AVERAGE METHOD

<?php

include'../includes/connection.php';

include'../includes/sidebar.php';

$query = 'SELECT ID, t.TYPE

FROM users u

JOIN type t ON t.TYPE_ID=u.TYPE_ID WHERE ID =

'.$_SESSION['MEMBER_ID'].'';

$result = mysqli_query($db, $query) or die (mysqli_error($db));

while ($row = mysqli_fetch_assoc($result)) {

$Aa = $row['TYPE'];

if ($Aa=='User'){

?>

<script type="text/javascript">

//then it will be redirected

alert("Restricted Page! You will be redirected to POS");

window.location = "pos.php";

</script>

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<?php

}

}

?>

<div class="card shadow mb-4">

<div class="card-header py-3">

<h4 class="m-2 font-weight-bold text-primary">Forecasting

Sales&nbsp;</a></h4>

</div>

</br>

<!doctype html>

<html>

<body >

<!-- CSS -->

<link href='jquery-ui.min.css' rel='stylesheet' type='text/css'>

<!-- Script -->

<script src='jquery-3.3.1.js' type='text/javascript'></script>

<script src='jquery-ui.min.js' type='text/javascript'></script>

<script type='text/javascript'>

$(document).ready(function(){

$('.dateFilter').datepicker({

dateFormat: "mm-yy"

});

});

</script>

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<!-- Search filter -->

<form method='post' action=''>

<div class="col-sm-6" style="padding-top: 5px;">

&nbsp Start Date <input type='date' class='dateFilter' name='fromDate'

value='<?php if(isset($_POST['fromDate'])) echo $_POST['fromDate']; ?>'>

End Date <input type='date' class='dateFilter' name='endDate'

value='<?php if(isset($_POST['endDate'])) echo $_POST['endDate']; ?>'>

<br><br>

&nbsp Time Interval:

<div class="col-sm-9">

<select class="form-control" id="month" name="month">

<option value="1">1</option>

<option value="2">2</option>

<option value="3">3</option>

<option value="4">4</option>

<option value="5">5</option>

<option value="6">6</option>

<option value="7">7</option>

<option value="8">8</option>

<option value="9">9</option>

<option value="10">10</option>

<option value="11">11</option>

<option value="12">12</option>

</select>

<br>

<input type='submit' method="POST" name='but_search' class="btn btn-

sm btn-success shadow-sm" class="fas fa-fw fa-graph" value='Show Report'>

<a type="button" class="btn btn-sm btn-warning shadow-sm"

onclick="window.print()"><i class="fas fa-fw fa-download"></i>Print</a>

</div>

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</div>

</form>

<br><bt>

<!-- Employees List -->

<div class="card-body">

<div class="table-responsive">

<table class="table table-bordered" id="dataTable" width="100%"

cellspacing="0">

<thead> <tr>

<th>TOTAL CURRENT SALES (RM)</th>

<th>FORECAST FOR NEXT SALES (RM)</th>

</thead>

</tr>

</div>

</div>

<?php

$month = $_POST['month'];

$emp_query = "SELECT MONTH(transaction.DATE),

transaction.TRANS_D_ID, SUM(transaction.GRANDTOTAL) ,

transaction_details.TRANS_D_ID, transaction_details.PRODUCTS,

SUM(transaction_details.QTY) , transaction_details.PRICE

FROM transaction

INNER JOIN transaction_details

ON transaction.TRANS_D_ID=transaction_details.TRANS_D_ID WHERE 1 ";

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// Date filter

if(isset($_POST['but_search'])){

$fromDate = $_POST['fromDate'];

$endDate = $_POST['endDate'];

if(!empty($fromDate) && !empty($endDate)){

$emp_query .= " and DATE

between '".$fromDate."' and '".$endDate."' ";

}

}

// Sort

//$emp_query .= " GROUP BY MONTH(DATE)";

$employeesRecords = mysqli_query($db,$emp_query);

// Check records found or not

if(mysqli_num_rows($employeesRecords) > 0){

while($empRecord = mysqli_fetch_assoc($employeesRecords)){

//$TRANS_D_ID = $empRecord['TRANS_D_ID'];

//$DATE = $empRecord['MONTH(transaction.DATE)'];

//$WEIGHT =

$empRecord['1/MONTH(transaction.DATE)'];

//$PRODUCTS = $empRecord['PRODUCTS'];

//$PRICE = $empRecord['PRICE'];

//$QTY = $empRecord['SUM(transaction_details.QTY)'];

$GRANDTOTAL =

$empRecord['SUM(transaction.GRANDTOTAL)'];

//$WMA =

$empRecord['1/MONTH(transaction.DATE)*SUM(transaction.GRANDTOTAL)'

];

//$MONTH =

$empRecord['COUNT(MONTH(transaction.DATE))'];

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$weight = 1 / $month;

$wma = $weight * $GRANDTOTAL;

echo "<tr>";

echo "<td>". $GRANDTOTAL ."</td>";

echo "<td>". $wma ."</td>";

echo "</tr>";

}

}else{

echo "<tr>";

echo "<td colspan='4'>No record found.</td>";

echo "</tr>";

}

?>

</table>

</div>

</body>

</html>

<?php

include'../includes/footer.php';

?>


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