MODEL ALOKASI DANA PEMERINTAH DAERAH UNTUK FASILITASI PELAKSANAAN PASAR LELANG KOMODITAS FORWARD: STUDI KASUS

Autor: dan Muh Hisjam, Wahyudi Sutopo, Ayu Pratiwi
Rok vydání: 2018
Předmět:
Zdroj: Jurnal Teknologi Industri Pertanian. 28:94-103
ISSN: 2252-3901
0216-3160
DOI: 10.24961/j.tek.ind.pert.2018.28.1.94
Popis: Magetan distric t at East Java is one of local government that support their farmer to participate in forward auction market in order to expand its marketing network . Th e implementation of the commodity auction market is divided into three main processes , i.e. pre - a uction, auction , and post- auction . Problem mapping was done by spreading questionnaires on 37 respondents, interviews in related government officer, and benchmarking on commodity auction organizers . There are many problems faced by farmer and forward auction market o r ganizer. Government that have the role of facilitator and catalyst need to carry out such some improvement activities to increase the efficiency of the commodity distribution. However , the local government need a tool to determine fundal location for facilitating farmer and action organizer . In this study, we solve d theproblem with approaches: the initialidentification , mappingproblems ; the hypothesis of suggestion of improvement ; model development ; and finally makes verification and validation using expert justification . This article aimed to formulate alternative solutions to overcome problems in the implementation of the auction market and formulate a model of government fund allocation . Goal programming was developed to s olve problems with mu l ti objective functions. The model use d four performance criteria , i.e. risk level, incentive value given by government , benefit value, andfarmer level skill . The results show ed that the model was able to provide optimal fund allocation by minimizing t he level of risk and incentive value and maximizing the va l ue of the benefits and skills o f farmers . Keywords: commodity auction market , fund allocation , goal programming
Databáze: OpenAIRE
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