1
IF-UTAMA 1
Forecasting
Sesi 11-12
Dosen Pembina :
Danang Junaedi
IF-UTAMA 2
Introduction
IF-UTAMA 3
Definition
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Types of Forecasting by Time Horizon
2
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Forecasting Approaches
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Overview of Qualitative Method
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Overview of Quantitative Method
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Time Series
3
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Time Series Component
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Overview of Trend Component
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Overview of Seasonal Component
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Overview of Cyclical Component
4
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Overview of Random Component
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Time Series Forecasting
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Stationary Forecasting Model
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Stationary Forecasting Model
5
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Method for Stationary Time Series
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Method for Stationary Time Series
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Example
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Example
6
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Example
IF-UTAMA 22
Example
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Example
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Example
7
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Method for Stationary Time Series
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Method for Stationary Time Series
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Method for Stationary Time Series
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Method for Stationary Time Series
8
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Example
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Exponential Smoothing Method Trlationship with Simple Moving Average
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Example
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Example
9
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Example
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Example
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Performance of Forecasting
Methods
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Performance of Forecasting Methods
10
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Example
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Example
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Linear Trend Time Series
Methods
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Linear Trend Time Series Methods
11
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Linear Trend Time Series Methods
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Example
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Example
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Linear Trend Time Series Methods
12
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Linear Trend Time Series Methods
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Example
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Example
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Trend, Seasonal and Cyclical
Time Series
13
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General Time Series Models
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Additive and Multiplicative Model
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Forecasting with Trend and Seasonal Components
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Example
14
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Example
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Example
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Example
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Example
15
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Example
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Example
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Example
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Example
16
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Example
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IF-UTAMA 63
Referensi
1.1. Dr. Dr. MouradMourad YKHLEFYKHLEF,2009,,2009,Decision Decision
Support SystemSupport System--ForecastingForecasting, King , King
SaudSaud UniversityUniversity