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Abstrak :
Metode House of Risk (HOR) adalah integrasi antara dua metode yaitu metode Failure Mode and Effect Analysis (FMEA) dan House of Quality (HOQ) yang berfokus pada penentuan sumber risiko serta strategi aksi mitigasi terhadap sumber risiko yang telah ditetapkan melalui proses eliminasi. Metode House of Risk (HOR) banyak digunakan untuk melakukan penanganan terhadap permasalahan yang terjadi di berbagai industri tak terkecuali industri sektor peternakan. Berbeda dengan industri manufaktur, Hasil dari industri peternakan memiliki sifat-sifat mutu yang heterogen, mudah rusak, jumlah dan volume yang tidak dapat dipastikan hasilnya. Domba merupakan salah satu komoditas ternak yang ada di Indonesia. Pemerintah terus mendukung pengembangan peternakan domba karena siklus domba yang lebih cepat, sehingga dapat memutar perekonomian rakyat lebih cepat. Pertumbuhan industri peternakan domba tentunya berbanding lurus dengan munculnya risiko pada proses rantai pasoknya. Setelah melakukan pengolahan data dengan House of Risk (HOR) fase 1 maka diperoleh 23 kejadian risiko dan 23 penyebab risiko. Berdasarkan perhitungan Pareto, terdapat 9 agen risiko yang mencakup 80% dari total Aggregate Risk Potential (ARP) dan dipilih sebagai prioritas mitigasi. Pada pengolahan data House of Risk fase 2 didapatkan 6 strategi aksi mitigasi risiko yang diperingkatkan berdasarkan nilai Effectiveness to Difficulty Ratio of Action (ETDk). ......aThe House of Risk (HOR) method is an integration between two methods, namely the Failure Mode and Effect Analysis (FMEA) and House of Quality (HOQ) methods which focus on determining risk sources and mitigation action strategies for risk sources that have been determined through an elimination process. The House of Risk (HOR) method is widely used to handle problems that occur in various industries, including the livestock sector industry. In contrast to the manufacturing industry, products from the livestock industry have heterogeneous quality characteristics, are perishable, the amount and volume of which cannot be ascertained. Sheep is one of the livestock commodities in Indonesia. The government continues to support the development of sheep farming because the sheep cycle is faster, so that it can rotate the people's economy more quickly. The growth of the sheep farming industry is of course directly proportional to the emergence of risks in the supply chain process. After processing the data with the House of Risk (HOR) phase 1, 23 risk events and 23 risk causes were obtained. Based on Pareto calculations, there are 9 risk agents that cover 80% of the total Aggregate Risk Potential (ARP) and are selected as mitigation priorities. In the House of Risk phase 2 data processing, 6 risk mitigation action strategies were obtained which were ranked based on the Effectiveness to Difficulty Ratio of Action (ETDk). there are 9 risk agents that cover 80% of the total Aggregate Risk Potential (ARP) and are selected as mitigation priorities. In the House of Risk phase 2 data processing, 6 risk mitigation action strategies were obtained which were ranked based on the Effectiveness to Difficulty Ratio of Action (ETDk). there are 9 risk agents that cover 80% of the total Aggregate Risk Potential (ARP) and are selected as mitigation priorities. In the House of Risk phase 2 data processing, 6 risk mitigation action strategies were obtained which were ranked based on the Effectiveness to Difficulty Ratio of Action (ETDk).

Abstrak :
Industri fesyen Indonesia terus mengalami peningkatan selama satu dekade terakhir. Namun, praktik pada industri fesyen ternyata menimbulkan dampak negatif bagi aspek lingkungan dan sosial. Untuk mengatasi masalah tersebut, pemerintah Indonesia mendorong industri fesyen untuk menerapkan praktik berkelanjutan demi mempertahankan dan meningkatkan daya saing di pasar global karena hal itu dipercaya sebagai masa depan bisnis. Oleh karena itu, perlu ditentukan indikator utama dalam penerapan sistem rantai pasok berkelanjutan di industri fesyen yang dapat digunakan untuk mengukur kinerja sistem rantai pasok berkelanjutan. Penelitian ini bertujuan untuk mengembangkan indikator kinerja utama (KPI) yang relevan dalam penerapan rantai pasok berkelanjutan di industri fesyen Indonesia. Di tahap awal, penelitian ini meninjau indikator keberlanjutan yang ada untuk dijadikan shortlist indikator awal. Kemudian, indikator tersebut divalidasi dan dinilai oleh delapan ahli. Penelitian ini menggunakan metode Content Validity Index (CVI) untuk memvalidasi indikator dan metode DANP untuk menganalisis hubungan dan prioritas indikator. Penelitian ini menghasilkan 21 indikator dari tiga dimensi berkelanjutan. Dimensi yang paling penting adalah ekonomi dan indikator yang paling penting adalah biaya operasional, kepuasan pelanggan, kepatuhan lingkungan, penggunaan teknologi ramah lingkungan, serta pendidikan dan pelatihan. Hasil penelitian ini dapat digunakan lebih lanjut oleh industri fesyen untuk meningkatkan kinerja keberlanjutan mereka. ......The Indonesian fashion industry has continuously been growing since the last decade. However, the fashion industry practices produce negative environmental and social consequences. To overcome these issues, the Indonesian government encourages Indonesian fashion industries to adhere to sustainable practices to maintain and improve competitiveness in the global market since it is believed to be the future of the business. Therefore, it is necessary to determine the main indicators of sustainable practices in the fashion industry to measure the performance of a sustainable supply chain system. This study aims to develop a set of relevant key performance indicators (KPIs) in implementing a sustainable supply chain for the Indonesian fashion industry. Initially, this study reviewed the existing sustainability indicators to develop an initial short-list of indicators. Then, indicators were validated and assessed by a group of eight experts. This study utilized content validity index (CVI) methods to validate the indicators and DANP method to analyze and prioritize the indicators. This study resulted in 21 indicators from three sustainability dimensions. The most important dimension was economic and the most important indicators were operating costs, customer satisfaction, environmental compliance, implementation of environmentally friendly technology, and education and training. The result of this study could be further used by the fashion industries to improve their sustainability performance.