|Hesty Heryani||Department of Agro-industrial Technology, Faculty of Agriculture, University of Lambung Mangkurat, Banjarbaru 70714, Indonesia|
|Agung Cahyo Legowo||Department of Agro-industrial Technology, Faculty of Agriculture, University of Lambung Mangkurat, Banjarbaru 70714, Indonesia|
|Noor Ridha Yanti||Department of Agro-industrial Technology, Faculty of Agriculture, University of Lambung Mangkurat, Banjarbaru 70714, Indonesia|
|Marimin||Department of Agro-industrial Technology, Faculty of Agricultural Engineering and Technology, Bogor Agricultural University, Bogor 16002, Indonesia|
|Sapta Raharja||Department of Agro-industrial Technology, Faculty of Agricultural Engineering and Technology, Bogor Agricultural University, Bogor 16002, Indonesia|
|Machfud||Department of Agro-industrial Technology, Faculty of Agricultural Engineering and Technology, Bogor Agricultural University, Bogor 16002, Indonesia|
|Irawan Afrianto||Department of Computer Science, Faculty of Mathematics and Natural sciences, Bogor Agricultural University, Bogor 16002, Indonesia|
Developing oil palm agroindustry in South Kalimantan involves internal and external factors for its sustainability. The long distance of each stakeholder requires a digitally connected system. The research aimed at identifying criteria, sub-criteria, and alternatives in the developed network model, determine the sensitivity to determine the relevance of actor's role, determine the effectiveness and efficiency before and after implementation of the system, and analyse the level of certainty and importance of assumptions developed. The methods used were surveys, focus group discussions, and questionnaires. Experts in the Analytical Network Process (ANP) method were from academia, business, society and government. Supply Chain Operation Reference (SCOR) method to analyse supply chain performance involved 178 respondents. The level of certainty and importance of assumptions was with Strategic Assumption Surfacing and Testing (SAST). The results of the analysis show there was an interdependence between the sub-criteria on the specified criteria and alternatives applied to achieve the goals. Pairwise comparisons showed the highest sub-criteria cluster was the replanting program with a weight of 0.662, for alternative cluster the highest priority weight in the system involving all actors playing a role was 0.391, with relevant sensitivity test results. The results of the analysis of effectiveness and efficiency before and after implementation of the system showed an increase in SCOR value for all actors. The results of SAST analysis were in Quadrant I with the highest level of importance and certainty of 7.6 meaning very important and certain. The implications of the research results can be seen in fostering the use of technology in realizing transparency, especially regarding the price, quality, and traceability of fresh fruit bunches, the realization of a monitoring system for policymakers and capital assistance for independent oil palm smallholders.
Analytical Network Process (ANP); Effectiveness; Efficiency; Strategic Assumption Surfacing and Testing (SAST); Supply Chain Operation Reference (SCOR)
sector, especially the oil palm plantation sub-sector, is experiencing rapid
growth and involves the community, especially independent oil palm
smallholders, on a large
scale. On the other hand, the development of the CPO processing industry and its derivatives is in line with the growth in
plantation areas and palm oil production as a source of raw
materials for the cooking oil industry, industrial oil (cocoa butter
substitute, margarine/shortening, oleo chemical, and soap) and fuel (biodiesel)
(Lee et al., 2014; Hasibuan et al., 2018; Hidayati et al., 2018; Syahza & Asmit, 2019).
Based on the results of pairwise comparisons on the network model, the highest priority weight for the sub-criteria cluster, namely the replanting program on government regulatory criteria, is 0.662. The alternative strategy with the highest priority weight is a system which involves all actors playing a role of 0.391, a policy brief refers to an area of 0.326, arrangements between parties involving traders with standard prices are set at 0.200 for third place and arrangements between parties without involving Traders are 0.081 in the final rank. The sensitivity test results of actor involvement as a priority in the network model are relevant. The results of the analysis of effectiveness and efficiency before and after implementation show an increase in the SCOR value for all actors. The results of the SAST analysis are in quadrant I with the highest level of importance and certainty at a value of 7.6 which means very important and definite. It means that the assumptions applied are relevant in the implications of FFB price incentive policies, funding support from the government and the private sector in realizing the STDB program for independent oil palm smallholders, technology utilization development programs in an effort to achieve transparency, particularly regarding the price and quality of FFB, traceability, establishment of monitoring system for policymakers regarding the application of benchmark prices in every transaction involving actors in the field. The limitation of the research is because it is based on IoT, of course, it requires an internet network and assistance so that the system is felt to be more user friendly.
To the Ministry of Finance and the Oil Palm Plantation Fund Management Agency (BPDPKS), we would like to pass our gratitude for the fund which has been entrusted to the Research Team through the cooperation agreement number: PRJ-17/DPKS/2020 dated June 15, 2020 and the Adendum of the cooperation agreement number: PRJ- 7/DPKS/2021 dated June 14, 2021, in carrying out the Pilot Project Implementation of Performance Assessment Information System and Institutional Strengthening of Oil Palm Supply Chain in Riau, Jambi and South Kalimantan Provinces.
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