Feasibility Study Using Added Value Calculation Analysis for Palm Oil Supply Chain

Jurnal METRIS ◽  
2020 ◽  
Vol 21 (02) ◽  
pp. 72-78
Author(s):  
Syarif Hidayat ◽  
Aris Machmud ◽  
Muhammad Rizki

The Palm Oil Supply Chain (POSC) is a series of companies dealing with materials or products derived from oil palm fresh fruit bunches. The chain is interdependent sequentially and cooperate in the control, management and improvement of the flow of products, money and information from the upstream side to the downstream side. The POSC consists of palm oil seed growers, farmers, traders, CPO factory, refinery factory, distributor/retailers, and consumers. The first party in the chain is the palm oil seed or seedling growers. These growers have a very important role for palm oil farmers because the quality of the seeds determines the quality of further fruits. The aims of this study are to evaluate the feasibility study of growing the seedlings, and measure the sensitivity of the factors to the profitability. By using modified Hayami method for the supply chain, the added value obtained is Rp5.950.227.861 which is 34,73% of the sales. The feasibility analysis calculation with an interest rate of 13.5%, shows the NPV of Rp 38.439.321.865, with the BEP of Rp 828.430.058, while ROI result 78,62%, Payback Periode value 1,27, Modified B/C Ratio 1,69, and IRR 78,33%.

2016 ◽  
Vol 13 (1) ◽  
pp. 576
Author(s):  
Syarif Hidayat ◽  
Nunung Nurhasanah ◽  
Rizki Ayuning Prasongko

In palm oil supply chain (POSC) the smallholder farmers sell their fresh fruit bunch (FFB) to Palm Oil Mills through traders. Palm Oil Mills convert the FFB into crude palm oil (CPO). CPO is sold to the refinery, who converts CPO into frying oil and sends the product to the distributors. The distributors subsequently sell them to the consumers. Each member of the POSC will try to optimize its added value. The aim of this paper is to develop an added value formulation as a function of risk, investment and technology levels of each of the POSC member. To facilitate fair distribution of rewards a concept of added value utility based on rsk, investment and technology level was introduced. To optimize the added value distribution between the members the concept of stakeholder dialogue was used. The selling prices were negotiated between the actors until each reached a satisfactory value, which was ruled by the levels of optimum added value utility. This research is important because the developed model can facilitate a better formula to calculate the fair distribution of added values, therefore ensure its sustainability and improve the total supply chain added value.Keywords:Utility, Value Added, Palm Oil Supply Chain, Exponential FunctionAbstrakPada suatu rantai pasok agroindustri minyak sawit (RPMS), petani menjual tandan buah segar (TBS) ke pabrik CPO melalui pedagang/pemasok. Pabrik CPO merubah TBS menjadi CPO. CPO dijual ke refinery (pabrik minyak goreng), yang merubah CPO menjadi minyak goreng, dan menjualnya melalui distributor kepada para konsumen. Setiap anggota RPMS akan berusaha untuk mengoptimumkan nilai tambahnya masing-masing. Tujuan penulisan makalah ini adalah menyusun formula perhitungan nilai tambah RPMS yang dipengaruhi oleh tingkat risiko, tingkat investasi dan tingkat teknologi yang terkait dengan masingmasing pelaku rantai pasok. Untuk mengusahakan distribusi yang adil dari imbalan maka digunakan pendekatan stakeholder dialogue. Harga jual dinegosiasikan diantara para pelaku RPMS sampai didapat suatu nilai yang memuaskan semua pihak, yang ditentukan berdasarkan utilitas nilai tambah yang optimum. Penelitian ini penting karena model yang dikembangkan dapat memfasilitasi formula yang lebih baik untuk menghitung distribusi nillia tambah yang adil, sehingga akan dicapai keberlangsungan usaha dan meningkatnya nilai tambah total dari RPMS.Kata kunci: Utilitas, Nilai Tambah, Rantai Pasok Minyak Sawit, Fungsi Eksponensial.


2021 ◽  
Vol 5 (1) ◽  
pp. 126-133
Author(s):  
Afriyani Afriyani ◽  
Muhammad Yazid ◽  
Desi Aryani

Lahat is one of the Robusta coffee production centers in South Sumatra. The coffee beansproduced by this district are often used as raw material in the coffee shop in Palembang because of thedistinctive taste and aroma that coffee lovers love. Coffee shops opens new opportunities for Robustacoffee farming. This study aims to analyze the flow of the supply chain and the added value of Lahatcoffee beans used by coffee shop. This research was conducted through a survey of four coffee shops inPalembang. The results showed that there are two supply chain lines, (1) coffee farmers - collectors -retailers - market traders - consumers; (2) coffee farmers - processors - coffee shops - consumers. Thesecond pattern is better and more profitable than the first pattern because the quality of the coffeeproduced is higher. The average added value obtained from processing one kilogram of coffee cherriesinto ground coffee is Rp. 158,132.94, coffee bean into green bean is Rp. 427,798.55, and green beaninto a cup of coffee is Rp. 1,029,269.00. This value indicates that processing the coffee cherries intopowder and processing the selected coffee cherries in coffee shop are profitable.


2017 ◽  
Vol 7 (2) ◽  
pp. 201
Author(s):  
Saut H Siahaan

Downstream palm oil industry development through concept application of cluster in North Sumatra province is become the hope of government to increase added value and competitiveness of product, but whether this concept can boost the competitiveness of the palm oil industry, remains a challenge. This is mainly related to the diversity of actors in the supply chain industry and competition in a global market that include environmental aspects. Therefore, industry cluster analysis from perspective of the supply chain of palm oil processing industry to be interesting. This study uses a qualitative exploratory approach, and primary data obtained by in-depth interviews of actors in the supply chain of palm oil processing industry in North Sumatra province in 2013 up to 2015. The analysis showed that smallholder plantations have a considerable contribution in supplying raw materials Fresh Fruit Bunches (FFB) for palm oil processing industry, hence the existence of smallholder plantations can not be excluded in the development of downstream palm oil industry. Furthermore, the results of this study also indicate that they need to encourage the establishment of governance structures industry palm oil supply chain, improvement strategies, distribution, and justice so that the distribution of benefits for the actors in the supply chain can be awakened. In this regard, efforts to promote sustainable plantation industry business is still very necessary, especially to preserve biodiversity and benefit all actors in the supply chain of palm oil industry.


2022 ◽  
Vol 18 (1) ◽  
pp. 37-54
Author(s):  
Somjai Nupueng ◽  
Peter Oosterveer ◽  
Arthur P. J. Mol

2019 ◽  
Vol 3 (1) ◽  
pp. 18-26
Author(s):  
Ika Ucha Pradifta Rangkuti ◽  
Mardiana Wahyuni

Mesocarp or fruit flesh is the main component of the cultivation of oil palm which is extracted to Crude Palm Oil (CPO). The amount of CPO produced from processing in palm oil mills is influenced by the quality of Fresh Fruit Bunches (FFB). Some factors that influence the quality of FFB are the type of crossing, plant age, maintenance level and fraction of fruit maturity. Adequacy of nutrients N, P, K, and Mg play a role in fruit formation and are expected to increase levels of CPO. In connection with this matter, research on the relationship / nutrient correlation with CPO content is needed. This research was conducted in October 2017 - March 2018 in the field with land suitability classes S1 (Maradja Hill), S2 (Limau Mungkur), S3 (Bah Birung Ulu) and STIPAP LPP Medan Practice Gardens. Processing data with single and multiple linear regression. Leaf samples were analyzed with the Sochlet apparatus in STIPAP Processing Laboratory. In general, the average nutrient content of leaves N, P, K were the normal category and nutrient Mg, Cl were deficiency category. The level of CPO (oil / mesocarp) varies from 31.14% - 59.59%. With single nutrient regression N, P, K, Cl has a positive correlation with CPO levels while Mg is negatively correlated. Multiple regression analysis of nutrient N, P, K, Mg and Cl has significant effect on O / N with a correlation coefficient of 0.744.


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