Abstrak

Baca Juga : EVALUASI MANAJEMEN RISIKO SISTEM RANTAI DINGIN PADA INDUSTRI ES KRISTAL(STUDI KASUS:PT. POLAR JAYA PERKASA) (Siti Febrianti Tafnar, 2018) ,

Baca Juga : MANAJEMEN RISIKO SISTEM RANTAI DINGIN BABY TUNA MENGGUNAKAN METODE FMEA DAN ISM (STUDI KASUS : PT. ACEH LAMPULO JAYA BAHARI - LAMPULO, KEC. KUTA ALAM, BANDA ACEH) (Aldary Rachmadi, 2017) ,

n sistem manajemen risiko pada produk ikan tuna beku. untuk memperoleh risiko yang paling kritis menggunakan metode house of risk (hor). pengambilan keputusan untuk perancangan sistem manajemen risiko dilakukan menggunakan logika fuzzy yaitu fuzzy inference system (fis) dengan penalaran mamdani. hasil dari penelitian ini adalah terdapat sebanyak 8 aktivitas rantai pasok sesuai dengan pemetaan di perusahaan. kemudian hasil evaluasi risiko dengan menggunakan house of risk fase 1 adalah terdapat sebanyak 2 penyebab risiko yang harus dilakukan manajemen risiko dari 20 penyebab risiko dan 33 kejadian risiko. penyebab risiko tersebut yaitu human error dan suhu pada saat penanganan awal tidak sesuai dengan standar. kata kunci : rantai dingin, manajemen risiko, house of risk, logika fuzzy ? the design of cold chain risk management system of frozen tuna product in aceh using fuzzy logic (a case study: lampulo industrial cluster) abstract frozen tuna is a product which is perishable and sensitive to temperature changing, so it needs a suitable cold chain system. a cold chain system is a part of the supply chain that aims to maintain the temperature of the product to keep it well preserved from upstream to downstream. lampulo industrial cluster consists of several companies that produce frozen tuna. there are many problems that can affect the smooth flow of cold chain system, so it needs the continual improvement efforts in reducing the risk of potential problems. the purpose of this study is to determine the risk factors, the causes of the risks, the correlation between them which are fundamental to cold chain management process, and also to design a risk management system for frozen tuna product. house of risk (hor) is applied to obtain the most critical risks for the risk assessment. the design of the risk management system is created using fuzzy logic known as fuzzy inference system (fis) with the mamdani reasoning. the result of this study shows that there are 8 supply chain activities from the companies mapping. the results of risk evaluation using hor phase 1 show that there are 2 risks from 20 existing agents and 33 risk events that must be managed with the risk management. the causes of the risks are human errors and the temperature that is below the standard during initial handling. keywords: cold chain, risk management, house of risk, fuzzy

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