Penentuan Prioritas Risiko pada Rancangan Rantai Pasok Biodiesel dari Minyak Goreng Bekas di Kota Padang
DOI:
https://doi.org/10.26593/jrsi.v5i1.1909.15-25Abstrak
A design of biodiesel supply chain from waste cooking oil conducted in previous studies. Implementation of supply chain design needs to be studied more in depth and comprehensive. One aspect of the study is a supply chain risk management. Supply chain risk management is important because many events in supply chain which raises operational problems and the cessation of business activity. Because of vulnerability of the supply chain to various internal and external risks, the study of risk sources is needed. This study examines the sources of risk and the weighting that may occur along the supply chain for the distribution of biodiesel from waste cooking oil from suppliers that located in various places until the sale of biodiesel to consumers that are targeted to the public in Padang. The method used in this research is fuzzy AHP with triangular fuzzy number approach. Risk identification is done with the study of literature and assessment by experts. Based on the results obtained sequences risks from largest to smallest weight are raw materials, market, quality, production, transportation, and partnerships.
Referensi
Anshori, Y. (2012). Pendekatan Triangular Fuzzy Number dalam Metode Analytic Hierarchy Process. Jurnal Ilmiah Foristek 2(1), 126-135.
Djamudin (2013). Manajemen Resiko Pengembangan Agroindustri Biodiesel Minyak Jarak Pagar. Jurnal Manajemen. 4(4), 79-88.
Geraldin, L.H, Pujawan, I.N, dan Dewi, D.S. (2007). Manajemen Risiko dan Aksi Mitigasi untuk Menciptakan Rantai Pasok yang Robust. Jurnal Teknologi dan Rekayasa Teknik Sipil TORSI. 53-64.
Hadiguna, R.A dan Putra, D. (2015).Dinamika Jaringan Rantai Pasok Biodiesel dari Minyak Goreng Bekas (Analisis, Permodelan dan Kebijakan). Padang: Andalas University Press.
Hidayat, S. Marimin. Suryani, A. Sukardi, dan Yani, M. (2012). Model Identifikasi Risiko dan Strategi Peningkatan Nilai Tambah pada Rantai Pasok Kelapa Sawit.Jurnal Teknik Industri. 14(2). 89-96.
Imansuri, F. (2014). Perumusan Key Performanc Indicator (KPI) Untuk Penilaian Kampus Berkelanjutan (Sustainable Campus) Di Universitas Andalas. Tugas Akhir. Universitas Andalas.
Jaya, R. Machfud, Raharja, S, dan Marimin. (2014). Anilisis dan Mitigasi Risiko Rantai Pasok Kopi Gayo Berkelanjutan dengan Pendekatan Fuzzy. Journal Teknologi Industri Pertanian. 24(1). 61-71.
Jenlina. (2013). Desain Risk Management untuk Rantai Pasok PT. X.Jurnal Ilmiah Mahasiswa Universitas Surabaya. 2(2). 1-19.
Lu, Y. (2015). Supply Chain Risk Assessment Based on AHP and Fuzzy Comprehensive Assessment Mode: A Case Study of the Chemical Supply Chain.International Journal of u and e-Service, Science, and Technology. 8(2). 227-234.
Mangla, S.C, Kumar, P, dan Barua, M.K. (2015). Risk Analysis in Green Supply Chain Using Fuzzy AHP Approach: A Case Study. Conservation and Recycling. 1-16.
Marimin et al. (2013). Teknik dan Analisis Pengambilan Keputusan fuzzy dalam Manajemen Rantai Pasok. Bogor : IPB Press.
Reddy, G.M dan Kousalya, P. (2015). Trapezoidal Fuzzy Numbers in Extent Analysis Method in Fuzzy AHP. International Journal of Conceptions on Computing and Information Technology. 3(1). 69-71.
Sarpong, K.O, Alexander, O.F, dan Anin, E.K (2013). An Assessment of Supply Chain Risks in the Cocoa Industry in the Ashanti Region, Ghana. International Journal of Humanities and Social Science. 3(19). 191-201
Septiani, W dan Djatna, T. (2015). Rancangan Model Performansi Risiko Rantai Pasok Agroindustri Susu dengan Menggunakan Pendekatan Logika Fuzzy. Agritech. 35(1). 88-97.
Suharjito, Marimin, Machfud, dan Sukardi. (2010). Identifikasi dan Evaluasi Risiko Manajemen Rantai Pasok Komoditas Jagung dengan Pendekatan Logika Fuzzy. Jurnal Manajemen dan Organisasi. 2(1). 118-134.
Wijaya, K (2011). Biodiesel dari Minyak Goreng Bekas. Diakses dari http://www.pse.ugm.ac.id/
