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T h e 2 n d I n t e r n a t i o n a l C o n f e r e n c e s o f A g r i c u l t u r e ( I C A - 2 )
Sub-Theme: Strategy and Food Security Policy 149
FINANCIAL FEASIBILITY ANALYSIS AND COCOA MARKETING
MARGIN IN KARE VILLAGE, KARE DISTRICT, MADIUN
REGENCY
Pawana Nur Indah1*, Hamidah Hendrarini2,Endang Yektiningsih3, Nisa Hafiidhoh Fitriana4
1Agribisnis Study Program, Faculty of Agriculture, UPN βVeteranβ East Java,
[email protected] * 2Agribisnis Study Program, Faculty of Agriculture, UPN βVeteranβ East
Java,[email protected] 31Agribisnis Study Program, Faculty of Agriculture, UPN βVeteranβ East Java, [email protected] 41Agribisnis Study Program, Faculty of Agriculture, UPN βVeteranβ East Java, [email protected]
Abstract: Cocoa is one of the plantation commodities whose role is quite important for the
national economy, especially as a provider of employment, a source of revenue and foreign
exchange. Financial gain is a must in exploiting a commodity. The market aspect is one of
the determining factors for the success of cocoa plantation operations. Thus the results of
the above analysis are combined with stakeholder opinions about cocoa agribusiness development. The objectives of this study are to analyze the financial viability of cocoa
farming and to analyze the cocoa farming chain and marketing margins. The analytical
methods used to analyze financial feasibility are NPV, Net B/C, IRR, Payback Period, and
Sensitivity Analysis, while for analyzing the marketing (chain analysis and marketing
margins). The results of the observation presented that cocoa farming business is viable to
develop financially, due to the NPV> 0, Gross B / C> 1, Net B / C> 1, IRR> current interest
rates, and the time limit of fund reimbursement is less than 20 years. The sensitivity /
sensitivity of cocoa farming occurs in decreasing production. Where cocoa farming is still
feasible if this condition happened. Marketing chains and margins, specifically, there are
two marketing channels for cocoa, a marketing margin of 5,000 IDR and 2,000 IDR. The
highest channel is the first one, namely direct sales from the farmers to the big traders.
Keywords: Financial Feasibility, Farming Chain, Marketing margin, Cacao
I. INTRODUCTION
Cocoa is one of the plantation commodities whose role is quite important for the national
economy, especially as a provider of employment, a source of revenue and foreign exchange(M.
Saleh et al., 2019). Besides, cocoa also gives a role in encouraging regional development and agro-
industrial development (Hadinata & Marianti, 2020). Cocoa is one of the plantation commodities
that is appropriate for country plantations, due to the plant which can bloom a whole year, thus it
can be a source of daily or weekly income for farmers (L. Saleh, 2017). In addition, plantation crop
commodities are foreign exchange sources for the country and the series of production activities
absorbe quiet a lot labor (Prasetya et al., 2020).
The quality of exported cocoa is generally not good, because it is not fermented. About 90
percent of cocoa exports constitute original or unfermented cocoa, but, the price is still going to be
very low instead of the fermentation cocoa (Tahir & Fadwiwati, 2017). This condition also occurs
in the cocoa center in Madiun Regency, East Java, where almost all the farmers there do not carry
out fermentation. Indonesia is a country that produces quite high enough cocoa. In East Java, there
are several regions which produce cacao such as Banyuwangi, Jember, Blitar, Madiun and some
other cocoa-producing regions (Badan Pusat Statistik, 2018).
Madiun Regency is the third largest cocoa-producing region in East Java with plantation areas
about 5,843 ha in 2017 with productions about 3,145 tons (Central Statistics Agency, 2018). In terms
of productivity, which has the highest cocoa productivity in East Java is Banyuwangi with
T h e 2 n d I n t e r n a t i o n a l C o n f e r e n c e s o f A g r i c u l t u r e ( I C A - 2 )
Sub-Theme: Strategy and Food Security Policy 150
productions about 7,760 tons / ha, followed by Kediri and Madiun, respectively 3,151 tons / ha and
3,145 tons / ha. These are some areas in East Java which have very good potential for cocoa-
producing development. Well-managed cocoa plantation businesses starting from cultivation, post-
harvest, processing industry, to distribution and marketing processes with effective institutional
support can increase the prosperity of farmers and stakeholders (Supriatna, 2017).
Demand for cocoa commodities as an industrial raw material sequently increases, both in the
domestic market and the foreign market (Thoriq & Widyasanti, 2019). Currently, cocoa farming
does not appear to be a priority crop (a side farm) from the perspective of the importance of
household income (Sinamaremare et al., 2018). This causes the price of the cocoa commodities to
be quite high and tend to be stable. Heeding its role and potential, cocoa is a promising plantation
commodity for being developed in supporting the regional development in Madiun Regency
(Pasaribu et al., 2016). For the development of cocoa agribusiness, a direct approach is required. In
a national development of cocoa, several problems and challenges are faced, including low
productivity which still only reaches about 900 kg per ha per year, while the potential reaches should
be more than two thousands kg per ha per year (M. Saleh et al., 2019). The problem in developing
cocoa plantations in Madiun Regency is that there is no development of cocoa plantations yet, which
are convenient for cocoa plantations, so that the gains have not reached the expected targets,
especially in increasing the per capita income of local residents (Purwanto et al., 2019). Furthermore,
the information obtained by farmers about the up and down of cocoa prices is still limited and also
the technical skills of the farmers in handling cocoa post-harvest are still low (Rizal et al., 2017).
For this case, it is necessary to develop cocoa plantations for the people for getting both maximum
results and benefits, therefore with a massive enough potential, the increase in cocoa production
must be developed (Rayuddin, 2019).
II. THEORY
Financial Feasibility
Financial analysis is an analysis where a project is viewed from an individual perspective, it
means it doesnβt need any attentions for what the impacts are going to be in the wider scope of
economy (Kusmayadi et al., 2017). In financial analysis, the concerns are about total results or
productivities or benefits obtained from all sources used in the project for the community or the
economy as a whole, regardless of who provides these sources and who receives the project results
(Arifin et al., 2017). Financial analysis is an activity of assessing and determining the rupiah unit of
aspects which are considered worthy comes from decisions made in the business analysis stage
(Khatimah, 2019). Financial Feasibility Includes Net Present Value, Net Benefit/Cost, Internal Rate
of Return, Payback Period, Break Event Points and Sensitivity (Widyasari et al., 2020).
Marketing Channel
Marketing channel is a flow path which through by the commodities from the producer to
middleman and finally come to the consumer (L. Saleh, 2017). Marketing channels are group of
traders and company agents who combine physical demands and rights of a product to create uses
for certain markets (Taariwuan, 2017). This definition implies that the marketing channel is a chain
consisting of several groups of institutions in cooperation to achieve an objective (Alam & Sutanto,
2019).
Marketing Margin
Marketing margin is the difference between the price at the producer level and the price at the
retail level (Hasanah et al., 2017). Marketing margin only explains about price differences and does
not state the quantity of the marketed product (Mohoridju et al., 2019). Moreover, marketing margin
T h e 2 n d I n t e r n a t i o n a l C o n f e r e n c e s o f A g r i c u l t u r e ( I C A - 2 )
Sub-Theme: Strategy and Food Security Policy 151
can be defined as the difference between the price paid by consumers and the price received by
producers, but it can also be expressed as the value of services in the implementation of trading
activities from the producer level to the final consumer level (Nurpajar et al., 2019). Marketing
margin indicators are more often used in marketing efficiency analysis or research, because through
those marketing margin analysis, the level of operational efficiency (technology) and price efficiency
(economy) of marketing can be seen (Maysari et al., 2017). Marketing margin is also the item price
difference received by producers and the item price paid by consumers, which consists of marketing
costs and marketing agency profits (Prasetya et al., 2020). Marketing margin in general is known as
the difference of prices at the various levels of marketing system. In agriculture side, marketing
margin can be interpreted as the difference of prices at the farm level and prices at the consumer
level, or in other words, the price difference between two market levels (Pangkey et al., 2018).
Cocoa
Cocoa is the only commercially cultivated species among 22 others of the genus Theobroma,
the Sterculiaceae family. The cacao plant (Theobroma cacao L.) isan annual plant belonging to the
caulofloris plant group, namely plants that flower and fruit on their stems and branches. Generally,
this plant can be divided into two parts, those are the vegetative part which includes roots, stems,
leaves and the generative part such as flowers and fruits (Susilowati et al., 2020). The original habitat
for cacao plants is tropical forests with high shade trees, high rainfall, relatively similar temperatures
all year long, and relatively constant high humidity. In such that habitat, the cacao plants will grow
up taller but only produce a few flowers and fruits. If they are cultivated in the farm, the three-year-
old plant height reaches 1.8 - 3.0 meters and at the age of 12 it can reach 4.5 - 7.0 meters (Hadinata
& Marianti, 2020).
III. RESEARCH METHODS
The research was conducted in Kare Village, Kare District, Madiun Regency. The determination
of the research location was carried out purposively with the consideration that Kare Village is one
of the production centers for Cocoa products in Madiun Regency (Tanjung et al., 2017). Meanwhile,
the sampling for farmers was done by using the Simple Random Sampling method, while for
collectors, wholesalers and SMEs used the snowball method, then following the flow of cocoa sales
with farmers as a starting point, consists of 2 Collecting Traders, 2 Wholesalers, and 1 Cocoa
MSMEs. The data collection methods used questionnaires and interviews with experts and related
instances (Wahyuniardi et al., 2017). The data analysis method used is as follows:
Analysis of Financial Feasibility of Cocoa Farming:
a. Net Present Value (NPV)
πππ = βπ΅π‘ β πΆπ‘
(1 + π)π‘
π
π‘=0/1
Annotation:
Bt : benefit in year-t t : lenght of investment period
Ct : cost in year-t i : interest rate
b. Net Benefit Cost Ratio (Net BCR)
T h e 2 n d I n t e r n a t i o n a l C o n f e r e n c e s o f A g r i c u l t u r e ( I C A - 2 )
Sub-Theme: Strategy and Food Security Policy 152
ππΈπ π΅πΆπ = β
π΅π‘βπΆπ‘
(1+π)π‘
ππ‘=0/1
βπ΅π‘βπΆπ‘
(1+π)π‘
ππ‘=0/1
Annotation:
Bt : benefit in year-t i : interest rate
Ct : cost in year-t n : age of farming project
c. Internal Rate of Return (IRR)
πΌπ π = π1 +πππ1
πππ1 β πππ2 π₯ (π2 β π1)
Annotation:
NPV1 : Positive present Value i1 : the discount rate that produces NPV1
NPV2 : Positive present Value i2 : the discount rate that produces NPV2
Business feasibility is determined by considering those three analytical tools, where that business
is assumed to be feasible if:
- If the IRR > interest rate, then the project is feasible
- If the IRR < interest rate, then the project is unfesiable
- If the IRR = interest rate, then the project is Break Event
d. Payback Period
πππ¦ππππ ππππππ = ππ β 1 + β ππΆπππ β 1 β β π΅πππ β 1 π
π=1ππ=1
π΅π
Annotation:
T p-1 : number of years while the value of Cumulative Net Benefit (negative)
TCicp-1 : total cost at the time of Cumulative Net Benefit (negative)
Bicp-1 : total benefit amount at the time Cumulative Net Benefit (negative)
BP : total benefit at the beginning of the Cumulative Net Benefit (positive)
Eligibelity criteria:
- If the payback period is shorter than the economic life of the business, then the project is
feasible to develop.
- If the payback period is longer than the economic life of the business, then the project is
unfeasible to develop.
e. Break Event Point (BEP)
1) BEP Acceptance
π΅πΈπ π =πΉπΆ
1 βπ΄ππΆ
ππ
Annotation:
BEP R : Break Event Point Revenue
TR : Total Revenue
FC : Fixed Cost
AVC : Average Variable Cost
Hypothesis testing:
Acceptance > BEP acceptance, the farming is feasible to develop.
Acceptance < BEP acceptance, the farming is unfeasible to develop.
2) BEP Production
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Sub-Theme: Strategy and Food Security Policy 153
π΅πΈπ π =πΉπΆ
π β π΄ππΆ
Annotation:
BEP Y : Break Event Point Production
P : Price
FC : Fixed Cost
AVC : Average Variable Cost
Hypothesis testing:
Farm production > BEP production, the farming is feasible to develop.
Farm production < BEP production, the farming is unfeasible to develop.
3) BEP Prices
π΅πΈπ π =ππΆ
π
Annotation:
TC : Total Cost
Y : Total production
Hypothesis testing:
Output price > BEP price, the farming is feasible to develop.
Output price < BEP price, the farming is unfeasible to develop.
f. Sensitivity Analysis
Sensitivity analysis is carried out to determine how far those factorsβ decrease or increase can
lead the alteration in investment criteria, from feasible to the unfeasible one of implementation
(Thoriq & Widyasanti, 2019). The sensitivity analysis in this study is calculated using the following
scenarios:
I. Increase the Input Cost
II. Calculating Break Event Point (BEP) for the selling price of farmesrsβ cocoa
III. Calculating Break Event Point (BEP) of farmersβ cocoa production volume
Marketing Margin Analysis
Mathematically, the marketing margin equation can be formulated as follows:
π = β ππ β β β πΆππ + β πππ
π=1
π
π=1
π
π=1
π
π=1
Where:
M : margin of trading (Rp/kg)
Mj : margin of trading (Rp/kg) trading business institute to-j (j=1,2,..,m) and m is the amount of
institution involved in trading system
Cij : the cost of trading to-i (Rp/kg) at the trading institution to-j (i=1,2,..,n) and n is the number
of types of financing
Pj : profit margin of trading institute to-j (Rp/kg)
IV. RESULT AND DISCUSSION
Cocoa Financial Feasibilty Analysis
The financial feasibility analysis of cocoa farming in Kare village includes the calculation of
Net Present Value (NPV), Net Benefit Cost Ratio (Net BCR) and Internal Rate of Return (IRR)
T h e 2 n d I n t e r n a t i o n a l C o n f e r e n c e s o f A g r i c u l t u r e ( I C A - 2 )
Sub-Theme: Strategy and Food Security Policy 154
which reflect the level of financial feasibility of cocoa farming in Kare village after getting a
correction with an interest rate of 6% (Discount Rate) (Mustika et al., 2019). This analysis is carried
out in an assumption used about the productive age of the cocoa plants for 20 years, the cocoa plants
begin producing at the age of 3 years, the price assumption pattern used in this analysis is a constant
price of IDR 27,000 per kilogram. Labors are calculated using daily wages which are converted into
people working days (HOK) and labor wages during the observation period is IDR 80,000/day. The
calculation of this financial analysis is based on the average data of the input and output structures
of each farmer, which consists of twenty sample respondents.
Table 1. Financial Analysis (NPV, Net B/C Ratio, IRR Dan Payback Period) Fermented Cocoa in 1
ha at an Interest Rate of 6% in Kare Village, Kare District, Madiun regency
Criteria Value (IDR)
Net Present Value (Rp) 73.637.133
Net B/C 9,8
IRR (%) 32,79%
Payback Periode (years) 7 years Source : Primary data processed, 2020
Table 2. Calculation Resultsof NPV, Net B/C, IRR, dan Payback Period
Year Benefit Cost Net Benefit
(B-C)
Discount
Rate
(6%)
NPV
(DR 6%)
Discount
Rate
(32,8%)
NPV
(DR 32,8%)
Cumulative
Net Benefit
0 0 5,139,500 -5,139,500 1.0000 (5,139,500) 1.0000 (5,139,500) -5,139,500
1 0 1,427,500 -1,427,500 0.9430 (1,346,698) 0.7530 (1,074,925) -6,567,000
2 0 1,517,500 -1,517,500 0.8900 (1,350,570) 0.5670 (860,464) -8,084,500
3 1,620,000 2,305,500 -685,500 0.8400 (575,559) 0.4270 (292,694) -8,770,000
4 3,915,000 2,617,500 1,297,500 0.7920 1,027,742 0.3215 417,172 -7,472,500
5 5,103,000 2,527,500 2,575,500 0.7470 1,924,563 0.2421 623,550 -4,897,000
6 7,155,000 2,687,500 4,467,500 0.7050 3,149,411 0.1823 814,472 -429,500
7 10,719,000 3,005,500 7,713,500 0.6650 5,129,918 0.1373 1,058,924 7,284,000
8 11,691,000 3,057,500 8,633,500 0.6270 5,416,765 0.1034 892,488 15,917,500
9 12,312,000 3,147,500 9,164,500 0.5920 5,424,453 0.0778 713,388 25,082,000
10 13,473,000 3,143,000 10,330,000 0.5580 5,768,218 0.0586 605,508 35,412,000
11 13,878,000 3,251,000 10,627,000 0.5270 5,598,171 0.0441 469,064 46,039,000
12 17,064,000 3,393,000 13,671,000 0.4970 6,794,068 0.0332 454,384 59,710,000
13 17,847,000 3,213,000 14,634,000 0.4690 6,860,990 0.0250 366,259 74,344,000
14 18,549,000 3,288,000 15,261,000 0.4420 6,749,955 0.0188 287,614 89,605,000
15 18,927,000 3,558,000 15,369,000 0.4170 6,412,947 0.0142 218,109 104,974,000
16 18,819,000 3,213,000 15,606,000 0.3940 6,143,244 0.0107 166,772 120,580,000
17 17,631,000 3,213,000 14,418,000 0.3710 5,354,332 0.0080 116,021 134,998,000
18 14,823,000 3,323,000 11,500,000 0.3500 4,028,954 0.0061 69,684 146,498,000
19 13,527,000 3,143,000 10,384,000 0.3310 3,432,047 0.0046 47,381 156,882,000
20 12,231,000 3,143,000 9,088,000 0.3120 2,833,681 0.0034 31,225 165,970,000
Total 229,284,000 63,314,000 73,637,133 (15,567)
Source : Primary data processed, 2020
Net Present Value
The feasibility of a business is assessed if the NPV is higher than zero (positive NPV), it means
that the net income (benefit) of a business is higher than the total cost incurred (Suharjo & Rahman,
2019). The table 1 presents the NPV value at an interest rate of 6% is IDR 73,637,133 / ha / 20 years,
this figure shows the benefits obtained during the productive life of the cocoa plant, which means
T h e 2 n d I n t e r n a t i o n a l C o n f e r e n c e s o f A g r i c u l t u r e ( I C A - 2 )
Sub-Theme: Strategy and Food Security Policy 155
that the NPV value is positive or higher than zero. This point out that the net income of cocoa farming
is higher than the total costs incurred, thus it can be concluded that cocoa farming in Kare Village,
Kare District, Madiun Regency is profitable and feasible to develop because the NPV value is> 0.
Analisis Net B/C Ratio
This analysis compares between the net income to the net cost which is calculated at its current
value. If the value of B/C > 1, then the project is feasible to develope, but if the value of B/C < 1, then the project is unfeasible to develope (Junita & Hurri, 2017). The table 3 presents the results of
the calculation of Net B/C at an interest rate of 6% is 9.8, which means that the cocoa farming in
Kare Village, Kare District, Madiun Regency is feasible and efficient and continued to be
implemented and developed because the Net B/C > 1. The result of the calculation of the Net BCR is the ratio between the number of positive and negative NPV which can be seen from the table 2. The
final results of the Net BCR arepresented in table 3 below:
Table 3. Result of Net BCR Calculation for Cocoa Farming
Variable Result
Net Benefit (B-C) > 0 82,049,460
Net Benefit (B-C) < 0 8,412,327
Net BCR 9.8
Source: Primary data analyzed, 2020
Internal Rate of Return
In the IRR analysis, a project is measured to be feasible to develop or profitable if the IRR value
is higher than the prevailing interest rate (Sofanudin & Budiman, 2017). The table 1 presents the
amount of IRR value at the interest rate of 6% for cocoa farming is 32.79%, which means that the
IRR value is higher than the prevailing interest rate. This shows that cocoa farming in Kare Village,
Kare District, Madiun Regency is profitable and feasible to develop. Based on the table 1, it can be
seen that the results of trial and error for i2 is 32.8%, this value gives negative NPV results, then the
IRR calculations will be carried out as follows:
πΌπ π = π1 +πππ1
πππ1 β πππ2Γ (π2 β π1)
πΌπ π = 0,06 +73.637.133
73.637.133 β (β15.567)Γ (0,328 β 0,06)
πΌπ π = 0,3279
πΌπ π = 32,79%
This value means that cocoa farming will provide a return to the capital invested about 32.79%
during the economic life of the plant.
Payback Period
This analysis is used to determine the period of return on investment in a project. If the
investment payback period is shorter than the economic life of the project, then the project is
profitable and feasible to run (Mohoridju et al., 2019). Payback period calculations require negative
Cumulative Net Benefit (CNB) information, total costs and total benefits when CNB is negative. The
payback period calculation results with the help of Ms. Excel are presented on the table 2. From the
information in that table, it is n that the number of years at the time of the negative CNB is 7 years,
then the payback period will be calculated as follows:
πππ¦ππππ ππππππ = ππβ1 +β ππΆπππβ1 β β π΅πππβ1
π΅π
πππ¦ππππ ππππππ = 7 +18.222.500 β 17.793.000
10.719.000
πππ¦ππππ ππππππ = 7,04 β 7 π‘πβπ’π.
T h e 2 n d I n t e r n a t i o n a l C o n f e r e n c e s o f A g r i c u l t u r e ( I C A - 2 )
Sub-Theme: Strategy and Food Security Policy 156
Thus, the fastest time required for a project to return its initial investment and working capital
is 7 years, so the payback period for investment is shorter than the economic life of the project which
is 15 years. Repayment periods or payback periods are during the period of net cash flow can cover
the entire costs or investment costs (Rizal et al., 2017).
Break Event Point (BEP)
The components of calculating the break event point analysis include the results of total costs,
productions and selling prices of cocoa (Thoriq et al., 2019). The analysis of BEP consists of BEP
acceptance, BEP production and BEP price, the following table of variables is require in calculating
BEP and the results of BEP calculations.
Table 4. Variables Calculating BEP for Cocoa Farming
Variable Amount (IDR)
Fixed Cost 63,314,000
Average Variable Cost (AVC) 1,405,100
Total Revenue (Benefit) 229,284,000
Price (Harga Produk) 27,000
Jumlah Produksi (Y) 8,492
Source: Praimary data analyzed, 2020
To calculate the break event point is used the average value of all components of the break event
point analysis calculation, and the results obtained from the break event point calculation are:
Table 5. Result of Comparative Analysis of Cocoa Farming BEP
Annotation Business
Conditions
BEP Appropriateness
Price (IDR/Kg) 27,000 7,456 Well worth it
Production (Kg/Ha) 8492 (46) Well worth it
Revenue (IDR) 229,984,000 63,704,394 Well worth it
Source: Primary data analyzed, 2020
Based on the table 5 calculations of the BEP value, it is obtained that the BEP cocoa price is
7.456 IDR, the calculation of BEP cocoa production is obtained about (46) kg and the calculation of
BEP cocoa revenue is obtained about 63,704,394 IDR to note that according to the results of the BEP
analysis, the cocoa farming in Kare Village is worth to be fermented cocoa production. With this
current business conditions, the price of cocoa is 27,000 IDR, the number of cocoa production is
8,492 kg / ha and cocoa revenue is 229,984,000 IDR. The interpretation of the figures above is, if
the selling price of cocoa beans and the volume of production in each farmer group is smaller than
these values, so the cocoa plantation farming is no longer provididing benefits for farmers.
Sensitivity Analysis
In the sensitivity analysis by increasing input costs, known how far the cocoa farming is still
feasible to be defended if there is an increase in input costs. This analysis is carried out with the
assumption that other factors do not affect (ceteris paribus) (Kusmayadi et al., 2017). The scenario
sensitivity analysis to a decrease in production of 16% is based on the decrease in the average
production that has occurred in cocoa farming in the village, it is assumed that the plant is attacked
by plant bugs causing a decrease in cocoa production.
T h e 2 n d I n t e r n a t i o n a l C o n f e r e n c e s o f A g r i c u l t u r e ( I C A - 2 )
Sub-Theme: Strategy and Food Security Policy 157
Table 6. Financial Feasibility Anaysis (NPV, Net B/C Ratio Dan IRR) for Cocoa Farm in 1 Ha in
Kare Village, Kare District, Madiun Regency Using a Production Reduction Scenari
No Parameter
Circumstances
Normal 16% Decrease in
Production
1 Net Present Value (NPV) 73.637.133 55.991.297
2 Net BCR 9,8 7,5
3 Internal Rate of Return (IRR) 32,79% 28,9%
4 Payback Period 7 years 7,4 years
5 Break Event Point (BEP)
a. BEP Reception 63.704.394 63.779.301
b. BEP Production -46 -46
c. BEP Price 7.456 8.876 Source: Primary data analyzed, 2020
Based on table 6, it can be seen that a decrease in the amount of production by 16% with input
costs that still result in a decrease in the value of NPV, Net BCR, and IRR, but even so the criteria
index is still in a proper assessment or decision and business activities can be continued.
Marketing Chain
The results of the marketing chain analysis show that there are several marketing institutions
involved in the marketing chain for fermented cocoa in Kare Village, Kare District, Madiun Regency,
starting from farmers as producers of fermented cocoa, village collectors, wholesalers and
MSMEs/Industries. Two forms of cocoa commodity marketing chain in Kare Village, Kare District,
Madiun Regency are presented in Image 1.
Image 1. Forms of Cocoa Commodity Marketing Chain in Kare Village
Annotation:
: Chain I
: Chain II
Marketing Chain I: Village collectors buy from farmers, village collectors sell to big
traders/wholesalers, and the wholesalers sell to MSEMs/Industries.
Marketing Chain II: Farmers directly sell to wholesalers, the wholesalers sell to
MSMEs/Industries.
Marketing Margin
Marketing margin has an important role in determining the amount of the farmer's income,
because it immediately affects to the price formation at the producer farmer level (L. Saleh, 2017).
Other than that, this analysis also wants to know the benefits and costs incurred by each marketing
institutions (Mohoridju et al., 2019). Costs incurred by farmers in general are harvesting costs, fruit
breaking, fermentation, drying and transportation costs to the market (Pangkey et al., 2018).
Farmer Village Collector
Wholesaler MSMEs/
Industry
T h e 2 n d I n t e r n a t i o n a l C o n f e r e n c e s o f A g r i c u l t u r e ( I C A - 2 )
Sub-Theme: Strategy and Food Security Policy 158
Table 7. Analysis of Cocoa Marketing Margin Per Channel in Kare Village, Kare District, Madiun
Regency
Marketing Chain I
No Description Unit Value (IDR)
1. Farmer
Total Cost IDR / Kg 900,00
Selling Price IDR / Kg 27.000,00
2. Village Collectors
Total Cost IDR / Kg 470,00
Selling Price IDR / Kg 28.000,00
Marketing Margin IDR / Kg 1,000,00
3. Big Trader/Wholesaler
Total Cost IDR / Kg 140,00
Selling Price IDR / Kg 32.000,00
Marketing Chain IDR / Kg 4.000,00
Total Margin IDR / Kg 5.000,00
Marketing Chain II
1. Farmer
Total Cost IDR / Kg 660,00
Selling Price IDR / Kg 27.000,00
2. Vilage Collectors
Total Cost IDR / Kg 210,00
Selling Price IDR / Kg 30.000,00
Marketing Margin IDR / Kg 2,000,00
Total Margin 2.000,00 Source: Primary data analyzed, 2020 *) presented in IDR/Rupiah
Farmer's share shows the share of value obtained by farmers from marketing activities (Alam
& Sutanto, 2019). The value paid by consumers is not fully accepted by farmers due to the marketing
margin which reduces the share of the value received by the farmer.
Table 8. Analysis of Farmerβs Share in the Marketing Chain of Fermented cocoa
Marketing
Chain
Prices at Farmer Level
(IDR/Kg)
Prices in MSMEs/
Agroindustry
(IDR/Kg)
Farmerβs
Share (%)
I 27,000 32,000 84,37
II 28,000 30,000 93,33 Source: Primary data analyzed, 2020
The highest channel for farmer's share is 93.33 percent, thatβs the direct sales from farmers to
wholesalers. Farmer's share has a negative correlation with marketing margin, the bigger the
farmer's share, the bigger the farmer's share will be.
V. CONCLUSION
The cultivation of fermented cocoa farming in Kare village, Kare District, Madiun Regency is
feasible to develop financially, because the NPV > 0, Net B/C > 1, IRR > the prevailing interest rate,
and the return on capital is less than 20 years. There are two forms of marketing chain for cocoa
commodities in Kare village, Kare District, Madiun Regency, those are: (1) marketing chain 1:
farmers - village collectors - wholesalers - industry; (2) marketing chain 2: farmers - wholesalers -
T h e 2 n d I n t e r n a t i o n a l C o n f e r e n c e s o f A g r i c u l t u r e ( I C A - 2 )
Sub-Theme: Strategy and Food Security Policy 159
MSMEs. It can be known well from the two marketing chains that based on the marketing margin,
the marketing chain 2 gives a higher price share to farmers.
REFERENCES
Alam, A., & Sutanto, A. H. (2019). Analisis Saluran dan Margin Pemasaran Manggis Studi Kasus
di Kelompok Tani Manggista Desa Cibokor Kabupaten Cianjur. Jurnal Agrita, 1(2), 94β102.
http://jurnal.unpad.ac.id/ejournal/article/view/3585
Arifin, D. Z., Rochdiani, D., & Noormansyah, Z. (2017). Analisis Kelayakan Finansial Usahatani Sawi Hijau dengan Sistem Hidroponik NFT. Jurnal Ilmiah Mahasiswa AGROINFO GALUH,
4(1), 609β613.
Badan Pusat Statistik. (2018). Kabupaten Madiun Dalam Angka 2018. In BPS Kabupaten Madiun.
CV. Azka Putra Pratama.
Hadinata, S., & Marianti, M. M. (2020). Analisis Dampak Hilirisasi Industri Kakao di Indonesia.
Jurnal Akuntansi Maranatha, 12(1), 99β108. https://doi.org/10.28932/jam.v12i1.2287
Hasanah, L., Suryadi, U., & Wihijanto, W. (2017). Analisis Saluran Distribusi Dan Margin Pemasaran Telur Itik Di Kabupaten Situbondo. Jurnal Ilmu Peternakan Terapan, 1(1), 25β
30. https://doi.org/10.25047/jipt.v1i1.529
Junita, F., & Hurri, S. (2017). Analisis Kelayakan Usaha Pembibitan Kakao di Distric Cocoa Clinic
(DCC) Kecamatan Juli Kabupaten Bireuen. Jurnal Pertanian, 1(1), 13β19.
Khatimah, K. (2019). Analisis Kelayakan Finansial Budidaya Udang Vannamei di Desa
Parangtritis, DIY. Jurnal Ekonomi Pertanian Dan Agribisnis (JEPA), 3(1), 21β32.
Kusmayadi, I. F., Sujaya, D. H., & Noormansyah, Z. (2017). Analisis Kelayakan Finansial Usahatani Manggis (Garcinia mangostana L) (Studi kasus pada seorang petani manggis di
Desa Cibanten Kecamatan Cijulang Kabupaten Pangandaran). Jurnal Ilmiah Mahasiswa
AGROINFO GALUH, 4(2), 226β233. https://doi.org/10.1038/132817a0
Maysari, R., Sjamsir, Z., & Nurhapsa. (2017). Pola Distribusi Dan Margin Pemasaran Bawang
Merah Di Kota Parepare. Jurnal Galung Tropika, 6(3), 206β212.
Mohoridju, S., Dua, P., & Marliyah. (2019). Analisis Pemasaran Bibit Kakao Studi Kasus pada CV
Agrovalah di Desa Berdikari Kecamatan Palolo Kabupaten Sigi. Jurnal Kolaboratif Sains,
1(1), 1219β1223.
Mustika, L., Agustina, F., & Sapta, Y. P. (2019). Analisis Kelayakan Finansial Usahatani Lada Putih
dengan Metode Good Agricultural Practices (GAP) dan Kelayakan Usaha Lada Bubuk di
Provinsi Kepulauan Bangka Belitung. Journal of Integrated Agribusiness, 1(1), 12β26.
Nurpajar, S., Rochdiani, D., & Isyanto, A. Y. (2019). Analisis Saluran Pemasaran Jambu Kristal (
Studi Kasus di Desa Bangunsari Kecamatan Pamarican Kabupaten Ciamis). Jurnal Ilmiah
Mahasiswa AGROINFO GALUH, 6(2), 321β328.
Pangkey, R., Talumingan, C., & Tarore, M. L. G. (2018). Margin Pemasaran Buah Salak di Desa Pangu Dua Kecamatan Ratahan Timur Kabupaten Minahasa Tenggara. Agri-SosioEkonomi
Unstrat, 14(3), 321β330.
Pasaribu, M. C., Prasmatiwi, F. E., & Murniati, K. (2016). Analisis Kelayakan Finansial Usahatani
Kakao Di Kecamatan Bulok Kabupaten Tanggamus. JIIA, 4(4), 367β375.
http://sinta2.ristekdikti.go.id
Prasetya, A. Y., Qurniati, R., & Herwanti, S. (2020). Saluran Dan Margin Pemasaran Durian Hasil Agroforestri Di Desa Sidodadi. Jurnal Belantara, 3(1), 32.
https://doi.org/10.29303/jbl.v3i1.315
Purwanto, A. A., Handayani, & Amtira, R. (2019). Analisis Pendapatan Usahatani Kakao di Desa
Lambunu Utara Kecamatan Bolanu Lambunu Kabupaten Parigi. Jurnal Agrotekbis, 7(1), 59β
66.
Rayuddin. (2019). Agroindustri Kakao Untuk Meningkatkan Pendapatan Masyarakat Petani di
Kabupaten Konawe. OPTIMA, 3(2), 30β37.
Rizal, R. K., Hasyim, A. I., & Situmorang, S. (2017). Kelayakan Ekonomi dan Pemasaran Kakao
di Kabupaten Lampung Selatan. JIIA, 5(4), 384β391.
T h e 2 n d I n t e r n a t i o n a l C o n f e r e n c e s o f A g r i c u l t u r e ( I C A - 2 )
Sub-Theme: Strategy and Food Security Policy 160
Saleh, L. (2017). Analisis Margin dan Efisiensi Saluran Pemasaran Kakao di Kabupaten Konawe.
Jurnal Surya Agritama, 6(1), 16β27. https://doi.org/10.1017/CBO9781107415324.004
Saleh, M., Hasan, I., & Nurliani. (2019). Analisis Kelayakan Usahatani Kakao Perkebunan Rakyat
(Studi Kasus Petani Kakao di Desa Tallambalao, Kecamatan Tammeroβdo Sendana,
Kabupaten Majene). Jurnal Wiratani, 2(2), 106β116.
Sinamaremare, J., Kurniawati, F., & Sayekti, A. (2018). Analisis Pendapatan dan Kelayakan Usahatani Kakao di Kecamatan Panei, Kabupaten Simalungun Sumatera Utara. Jurnal
MASEPI, 3(1), 1β17. https://doi.org/10.1016/j.desal.2004.08.033
Sofanudin, A., & Budiman, E. W. (2017). Analisis Saluran Pemasaran Cabai Rawit (Capsicum
Frutescens. L) (Studi kasus di Kecamatan Kanigoro, Kabupaten Blitar). VIABEL: Jurnal
Ilmiah Ilmu-Ilmu Pertanian, 11(1), 46β58. https://doi.org/10.35457/viabel.v11i1.234
Suharjo, & Rahman, A. (2019). Analisis Kelayakan Investasi Usahatani Kakao dengan Teknologi
Sambung Samping di Kabupaten Kolaka. Jurnal Morome, 2(2), 1β9.
Supriatna, A. (2017). Kajian Kelayakan Usaha Tani dan Marjin Tataniaga Mangga (Mangifera
Indica) (Studi Kasus di Kabupaten Majalengka, Jawa Barat). Jurnal Pengkajian Dan
Pengembangan Teknologi Pertanian, 10(2), 166β178.
Susilowati, Sani, Santi, S., Soemargono, & Waluyo, M. (2020). Pemanfaatan Limbah Kulit Buah
Kakao Menjadi Pektin. Jurnal Abdimas Teknik Kimia, 1(1), 6β11.
Taariwuan, S. (2017). Analisis Margin Pemasaran Biji Kakao Kering di Desa Bancea Kecamatan
Pamona Selatan. Jurnal AgroPet, 12(2), 36β45.
Tahir, G., & Fadwiwati, A. Y. (2017). Analisis finansial usahatani kakao dalam rangka
pengembangan agribisnis kakao di kabupaten luwu sulawesi selatan. Jurnal AGROTEKSOS,
26(1), 187β195.
Tanjung, W. N., Hidayat, S., & Azmiyati, S. (2017). Simulasi Sistem Untuk Meningkatkan Kinerja Rantai Pasok. Jurnal Al-Azhar Indonesia Seri Saisns Dan Teknologi, 3(4), 171β177.
https://doi.org/10.36722/sst.v3i4.231
Thoriq, A., Sampurno, R. M., & Nurjanah, S. (2019). Analisis Teknis dan Kelayakan Finansial
Produksi Keripik Kentang. Jurnal Keteknikan Pertanian, 7(1), 65β72.
https://doi.org/10.1017/CBO9781107415324.004
Thoriq, A., & Widyasanti, A. (2019). Kajian Proses Dan Analisis Kelayakan Finansial Usaha Ubi
Cilembu Bakar. Jurnal Ilmiah Rekayasa Pertanian Dan Biosistem, 7(1), 52β65.
https://doi.org/10.29303/jrpb.v7i1.109
Wahyuniardi, R., Syarwani, M., & Anggani, R. (2017). Pengukuran Kinerja Supply Chain Dengan
Pendekatan Supply Chain Operation References (SCOR). Jurnal Ilmiah Teknik Industri,
16(2), 123β132. https://doi.org/10.23917/jiti.v16i2.4118
Widyasari, R., Hidayat, A. F., & Baskara, Z. (2020). Kelayakan Finansial Usaha Agroindustri
Bawang Goreng untuk Meningkatkan Pendapatan Masyarakat Kecamatan Selaparang, Kota
Mataram. Jurnal Teknologi Industri Pertanian, 14(2), 309β314.