Analisis Risiko Rantai Pasok pada Industri Pengolahan Sagu Basah di Desa Bunga Eja dengan Metode Supply Chain Operation Reference (SCOR) dan House of Risk (HOR)

Abstract

Tujuan penelitian ini untuk mengidentifikasi rantai pasok yang terjadi pada industri pengolahan sagu basah dengan menggunakan metode Supply Chain Operation Reference (SCOR) dan untuk menganalisis risiko dengan melakukan penilaian risiko rantai pasok pada industri pengolahan sagu basah dengan menggunakan metode House of Risk (HOR). Penelitian ini dilaksanakan di Desa Bunga Eja Kecamatan Kamanre Kabupaten Luwu pada bulan Juli – Agustus 2023. Teknik analisis data menggunakan metode Supply Chain Operation Reference (SCOR) dan House of Risk (HOR). Hasil penelitian menunjukkan bahwa terdapat sembilan belas risk event dan dua puluh satu risk agent pada risiko rantai pasok yang terjadi pada industri pengolahan sagu basah. Hasil analisis risiko rantai pasok menunjukkan bahwa terdapat empat prioritas risk agent atau sumber penyebab risiko yakni (A8) kerusakan mesin dan peralatan produksi, (A10) ketersediaan air bersih untuk proses produksi, (A3) modal usaha masih kurang, dan (A2) bahan baku mulai berkurang. The purpose of this study is to identify the supply chain that occurs in the wet sago processing industry using the Supply Chain Operation Reference (SCOR) method and to analyze risk by conducting a supply chain risk assessment in the wet sago processing industry using the House of Risk (HOR) method. This research was conducted in Bunga Eja Village, Kamanre District, Luwu Regency from July to August 2023. Data analysis techniques used the Supply Chain Operation Reference (SCOR) and House of Risk (HOR) methods. The results showed that there were nineteen risk events and twenty one risk agents in the supply chain risk that occurred in the wet sago processing industry. The results of supply chain risk analysis show that there are four priority risk agents or sources of risk, namely (A8) damage to production machinery and equipment, (A10) availability of clean water for the production process, (A3) insufficient business capital, and (A2) raw materials starting to decrease.