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"Industri alat kesehatan di Indonesia memiliki potensi yang menjanjikan dengan perkembangannya yang meningkat cepat. Pertumbuhan produsen dan distributor pada industri ini menunjukkan bahwa persaingan semakin kompetitif sehingga mendorong perusahaan di dalamnya untuk bekerja lebih efektif. PT. XYZ merupakan salah satu perusahaan distributor alat kesehatan di Indonesia. Saat ini, terdapat beberapa risiko di dalam rantai pasok gudang sentral PT. XYZ. Oleh karena itu, diperlukan sebuah manajemen risiko rantai pasok menyeluruh dalam gudang sentral PT. XYZ sebagai tindak pencegahan. Penelitian ini memiliki tujuan untuk mengidentifikasi agen risiko prioritas pada gudang sentral PT. XYZ serta menentukan rekomendasi mitigasi risiko prioritas untuk mengatasinya. Metode yang digunakan adalah House of Risk (HOR) yang terdiri dari dua fase. HOR fase 1 bertujuan untuk menentukan agen risiko prioritas dan HOR fase 2 untuk memilih aksi mitigasi prioritas. Hasil penelitian menunjukkan bahwa terdapat 11 agen risiko prioritas pada gudang sentral PT. XYZ berdasarkan nilai aggregate risk potential (ARP) tertinggi dengan 9 aksi mitigasi prioritas berdasarkan nilai effectiveness to difficulty ratio (ETD) yang direkomendasikan agar diimplementasikan terlebih dahulu oleh perusahaan.

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The medical device industry in Indonesia possesses promising potential with rapid development in recent years. The growth of manufacturers and distributors within this industry indicates increasing competition, meaning companies are demanded to operate more efficiently. PT. XYZ is one of the medical device distributors in Indonesia. Currently there are several risks associated with the supply chain of PT. XYZ’s central warehouse. Therefore, a comprehensive supply chain risk management within the central warehouse of PT. XYZ is needed as a preventive measure. This study aims to identify the priority risk agents in the central warehouse of PT. XYZ and determine the priority risk mitigation recommendations to address these risks. This study uses House of Risk method which consists of two phases. HOR phase 1 aims to identify the priority risk agents and HOR phase 2 focuses on selecting the priority mitigation actions. The results of the study show that there are 11 priority risk agents in PT. XYZ’s central warehouse based on the highest aggregate risk potential (ARP) values with 9 priority mitigation actions recommended based on the effectiveness to difficulty ratio (ETD) to be implemented by the company first."

"Persaingan sektor kesehatan di Indonesia semakin kompetitif ditandai dengan adanya rencana peningkatan Tingkat Kandungan Dalam Negeri (TKDN). Sebagai salah satu perusahaan distributor alat medis di Indonesia, tentunya diperlukan rantai pasok yang efektif dan efisien demi dapat mempertahankan daya saingnya. Penelitian ini bertujuan untuk mengukur kinerja rantai pasok gudang pusat perusahaan distributor alat kesehatan dan memberikan strategi perbaikan supaya proses aliran barang lebih optimal. Model Supply Chain Operation Reference (SCOR) digunakan dalam penelitian untuk mengevaluasi kinerja indikator rantai pasok. Berdasarkan hasil pengukuran, didapatkan kinerja keseluruhan gudang pada tahun 2023 berada dalam kategori Average dengan rata-rata sebesar 68,76%. Dari 20 indikator yang diajukan, terdapat 6 indikator prioritas yang masih memerlukan perbaikan menurut pemetaan Importance Perfomance Analysis. Kemudian, disusunlah rancangan strategi perbaikan yang berdasarkan diksusi dan wawancara dengan perusahaan serta penilaian Relationship Matrix. Strategi tersebut diantaranya Satu Optimasi melalui Warehouse Management System (WMS), Digital Logistics Scheduling and Tracking System, dan Evaluasi Rutin Manpower Gudang.

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Competition in the healthcare sector in Indonesia is becoming increasingly competitive, marked by plans to increase the Domestic Content Level. As one of the medical equipment distributor companies in Indonesia, an effective and efficient supply chain is needed to maintain its competitiveness. This research aims to measure the performance of the central warehouse supply chain of the medical equipment distributor company and provide improvement strategies to optimize the flow of goods. The Supply Chain Operations Reference (SCOR) model is used in the research to evaluate supply chain performance indicators. Based on the measurement results, the overall warehouse performance in 2023 was in the Average category with an average of 68.76%. Out of the 20 proposed indicators, there are 6 priority indicators that still need improvement according to Importance Performance Analysis mapping. Subsequently, improvement strategy designs were developed based on discussions and interviews with the company and Relationship Matrix assessment. These strategies include Single Optimization through Warehouse Management System (WMS), Digital Logistics Scheduling and Tracking System, and Routine Evaluation of Warehouse Manpower."

"Manajemen risiko adalah aktivitas mengidentifikasi, menilai, menganalisis, dan mengendalikan risiko dalam seluruh kegiatan perusahaan dengan tujuan memperoleh efektivitas dan efisiensi yang lebih tinggi. Metode yang digunakan dalam manajemen risiko salah satunya adalah House of Risk (HOR). Metode tersebut merupakan modifikasi antara Failure Mode and Effect Analysis (FMEA) dengan kerangka House of Quality (HOQ) dengan fokus utamanya merumuskan tindakan mitigasi terhadap sumber risiko prioritas yang merupakan penyebab kejadian risiko agregat. Pada penelitian ini, manajemen risiko dilakukan pada aktivitas aliran rantai pasok operasional produksi PT. XYZ. Analisis risiko pada HOR 1 diawali dengan identifikasi risiko melalui diskusi dengan expert dan studi literatur, kemudian dilakukan penilaian terhadap nilai severity dari risk events dan nilai occurrence dari risk agents. Hasil HOR tahap 1 menunjukkan terdapat 23 kejadian risiko dan 21 agen risiko. Berdasarkan perhitungan Pareto, terdapat 12 agen risiko yang mencakup 80% dari total Aggregate Risk Potential (ARP) dan dipilih sebagai prioritas untuk dilakukan mitigasi. Setelah itu, dari hasil HOR tahap 2, ditetapkan 11 tindakan pencegahan yang kemudian digabungkan menjadi 2 strategi mitigasi besar, yaitu menggunakan sistem Epicor Kinetic ERP dan inspeksi rutin.

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Risk management is the activity of identifying, assessing, analysing and controlling risks in all company activities with the aim of achieving higher effectiveness and efficiency. One of the methods used in risk management is House of Risk (HOR). This method is a modification of Failure Mode and Effect Analysis (FMEA) with the House of Quality (HOQ) framework with the main focus on formulating mitigation actions against priority risk sources which are the causes of aggregate risk events. In this research, risk management is carried out in production operational supply chain flow activities at PT. XYZ. Risk analysis in HOR 1 begins with risk identification through discussions with experts and literature studies, then an assessment of the severity value of risk events and the occurrence value of risk agents is carried out. The results of HOR stage 1 showed that there were 23 risk events and 21 risk agents. Based on Pareto calculations, there are 12 risk agents which cover 80% of the total Aggregate Risk Potential (ARP) and were selected as priorities for mitigation. After that, from the results of HOR stage 2, 11 preventive actions were determined which were then combined into 2 major mitigation strategies, namely using the Epicor Kinetic ERP system and routine inspections."

"House of Risk (HOR) merupakan metode yang mengintegrasikan antara dua model penelitian yaitu metode Failure Mode and Effect Analysis (FMEA) dan House of Quality (HOQ) yang berfokus pada penentuan tindakan pencegahan terhadap sumber risiko yang telah tereliminasi. Pada penelitian ini, House of Risk digunakan sebagai alat untuk menangani risiko terkait proses supply chain PT Odyssey Shipping Lines. Penelitian ini diawali dengan mengidentifikasi aktivitas rantai pasok menggunakan Supply Chain Operation Reference (SCOR) lalu menentukan kejadian risiko apa saja yang terjadi pada proses rantai pasok PT Odyssey Shipping Lines beserta memberikan langkah mitigasi yang tepat untuk risiko-risiko signifikan yang dialami PT Odyssey Shipping Lines. Proses identifikasi dan analisis tersebut dilakukan bersama dengan para ahli yang berpengalaman di bidangnya. Setelah melakukan pengolahan data dengan House of Risk (HOR) tahap 1 maka diperoleh 20 kejadian risiko dan 35 penyebab risiko. Berdasarkan perhitungan Pareto, terdapat 16 agen risiko yang mencakup 80% dari total Aggregate Risk Potential (ARP) dan dipilih sebagai prioritas mitigasi. Penyebab risiko dengan nilai Aggregate Risk Potential (ARP) terbesar adalah kesalahan dalam kalkulasi forecasting yang telah ditetapkan dengan nilai sebesar 720. Lalu pada House of Risk (HOR) tahap 2 diperoleh nilai efektivitas tertinggi yaitu sebesar 5737 yaitu Pengawasan yang lebih dari supervisor untuk memastikan keberlangsungan pekerjaan.

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House of Risk (HOR) is an integration between two research models, namely the Failure Mode and Effect Analysis (FMEA) method and the House of Quality (HOQ) which focus on determining preventive measures for eliminated risk sources. In this study, the House of Risk is used as a tool to deal with risks related to the supply chain activity in PT Odyssey Shipping Lines. This research begins by identifying the activities of supply chain using Supply Chain Operation Reference (SCOR), determining the risk events and creating the mitigation strategy to the most significant risks. The process of identification and analysis is carried out together with experts who are experienced in their fields. After processing the data with the House of Risk (HOR) stage 1, 20 risk events and 35 risk causes were obtained. Based on Pareto calculations, there are 16 risk agents covering 80% of the total Aggregate Risk Potential (ARP) and are selected as mitigation priorities. The cause of the risk with the largest Aggregate Risk Potential (ARP) value is the miscalculation when forecasting that has been set with a value of 720. Then in the House of Risk (HOR) stage 2, the highest effectiveness value was obtained which was 5737, namely to give more supervising process."

"Autoclaved Aerated Concrete (AAC) merupakan bahan bangunan ramah lingkungan yang berfungsi sebagai alternatif bahan baku bangunan. AAC dibuat dengan memanfaatkan kembali limbah konstruksi untuk meminimalkan jumlah puing yang dihasilkan oleh industri konstruksi. Manufaktur AAC adalah salah satu perusahaan terkemuka dalam produksi produk baru ini. Untuk memastikan produksi yang stabil dan efisien dengan kegagalan minimal, diperlukan manajemen risiko yang efektif. House of Risk (HOR), metode yang diadaptasi dari Failure Mode and Effect Analysis (FMEA) dan House of Quality (HOQ), adalah metode manajemen risiko yang berfokus pada identifikasi tindakan pencegahan. Penilaian risiko dilakukan dengan mengidentifikasi risiko yang terjadi dalam proses bisnis melalui pendekatan eksternal menggunakan analisis PESTLE dan pendekatan internal menggunakan Supply Chain Operational Reference (SCOR). Selanjutnya, dilakukan penilaian terhadap nilai keparahan dan tingkat kejadian. Hasil dari House of Risk 1 menunjukkan 28 kejadian risiko dengan 27 agen risiko. Dengan mengikuti aturan Pareto, diperoleh 10 agen risiko yang diprioritaskan. House of Risk 2 mengidentifikasi 14 strategi mitigasi risiko yang diusulkan untuk mengurangi agen risiko tersebut. Melalui perhitungan, ditemukan bahwa 3 tindakan mitigasi memiliki nilai efektivitas tertinggi. Ketiga strategi mitigasi risiko ini disarankan untuk memastikan efektivitas proses bisnis yang dicapai.

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Autoclaved Aerated Concrete, an environmentally friendly brick that act as an alternative raw material for buildings. It is built by reusing construction waste to minimize the increasing number of debris generated by the construction industry. AAC Manufacturer is one of the leading enterprise in the production of the emerging product. To ensure the stable and efficient production with minimum failures, a risk management is needed. House of Risk (HOR), a method adopted from the Failure Mode and Effect Analysis (FMEA) and House of Quality (HOQ) is a method of risk management focusing on identifying preventive actions. The risk assessment is conducted by identifying the risks occurring in the business process through external approach using PESTLE analysis and internal approach using Supply Chain Operational Reference (SCOR) approach. Then, an assessment of assessing the severity value and occurrences rate is carried out. The results of House of Risk 1 shows 28 risk events with 27 risk agents. By following the Pareto rule, 10 prioritized risk agents are obtained. The House of Risk 2 identified 14 proposed risk mitigation strategies to mitigate the risk agents. Through the calculation, it was found that 3 mitigation actions holds the highest value of effectiveness. These 3 risk mitigation strategies is suggested to ensure the achieved business process effectiveness."

"Indonesia telah menjadi salah satu produsen alas kaki terbesar di dunia. PT. X merupakan salah satu perusahaan manufaktur sepatu olahraga khususnya Adidas di Indonesia. Saat ini, sedang terjadi penurunan permintaan yang menyebabkan persaingan antara produsen meningkat. Tujuan dari penelitian ini adalah untuk merancang strategi mitigasi risiko yang tepat untuk mengatasi agen risiko yang termasuk dalam prioritas. Hal ini dilakukan agar perusahaan dapat mengurangi keterlambatan pengiriman sepatu sehingga penilaian performa perusahaan meningkat. Penelitian ini menggunakan metode House of Risk (HOR). Metode HOR memiliki 2 tahapan. HOR tahap 1 bertujuan untuk mencari agen risiko yang akan diprioritaskan dan HOR tahap 2 bertujuan untuk memilih strategi aksi mitigasi. Hasil penelitian pada HOR tahap 1 menunjukkan bahwa agen risiko dengan nilai aggegate risk potential (ARP) tertinggi adalah pihak produksi telat melaporkan kekurangan material (A7) dan agen risiko dengan nilai ARP terendah adalah tidak ada pengecekan rutin dari sisi leader/technical expert (A12). Berdasarkan prinsip Pareto,11 agen risiko akan diprioritaskan untuk ditangani sesuai dengan nilai ARP tertinggi. Selanjutnya, 14 aksi mitigasi diusulkan. Delapan aksi mitigasi direkomendasikan untuk mencegah agen risiko berdasarkan nilai effectiveness to difficulty ratio (ETD) dari HOR tahap 2.

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Indonesia has become one of the largest footwear producers in the world. PT. X is a sports shoe manufacturing company, especially Adidas in Indonesia. Currently, there is a decline in demand which causes competition between producers increase. The purpose of this study is to design appropriate risk mitigation strategies to address the risk agents included in the priority. This is done so that the company can reduce delays in shoe delivery so that the company's performance rating increases. This study uses the House of Risk (HOR) method. The HOR method has 2 stages. HOR stage 1 aims to find risk agents to be prioritized and HOR stage 2 aims to select a mitigation action strategy. The results of the research on HOR stage 1 show that the risk agent with the highest aggregate risk potential (ARP) value is the production party who is late in reporting material deficiencies (A7) and the risk agent with the lowest ARP value is that there is no routine checking from the leader/technical expert's side (A12). Based on the Pareto principle, 11 risk agents will be prioritized to be handled according to the highest ARP value. Furthermore, 14 mitigation actions are proposed. Eight mitigation actions are recommended to prevent risk agents based on the effectiveness to difficulty ratio (ETD) value of HOR stage 2."

"Bencana alam di Indonesia khususnya bencana banjir membuat kerusakan di beberapa pabrik di Indonesia yang mengakibatkan terjadinya pengurangan produksi saat bencana banjir khususnya pada perusahaan otomotif. Untuk membantu memitigasi risiko-risiko yang terjadi pada bencana banjir, maka perlu dilakukan penelitian terhadap manajemen risiko rantai pasok dengan menggunakan metode House of Risk (HOR). Penggunaan House of Risk (HOR) ini bertujuan untuk mengidentifikasi risiko serta untuk merancang prioritas risiko. Kemudian mitigasi dari masing-masing risiko terpilih teridentifikasi dan dirancang prioritas mitigasinya. Hasil dari penelitian ini berupa teridentifikasinya 14 risk events yang disebabkan oleh 11 agen risiko dan dimitigasi oleh 12 aksi mitigasi.

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Natural disasters in Indonesia, especially floods caused damage to several factories in Indonesia which resulted in reduced production during flood disasters, especially for companies. To help mitigate the risks that occur in flood disasters, it is necessary to conduct research on supply chain risk management using the House of Risk (HOR) method. The use of the House of Risk (HOR) aims to identify risks and design risk priorities. Then the mitigation from each assessment is selected and the mitigation priority is designed. The results of this study are 14 risk events caused by 11 risk agents and mitigated by 12 mitigation actions."

"Manajemen risiko mencakup proses sistematis untuk mengenali, mengevaluasi, dan mengendalikan risiko dalam semua aktivitas perusahaan guna meningkatkan efektivitas dan efisiensi secara keseluruhan dalam upaya meningkatkan ketahanan rantai pasok. Dalam studi ini, metode House of Risk (HOR) diterapkan. Metode ini diadaptasi dari Failure Mode and Effect Analysis (FMEA) dan model korelasi Quality Function Deployment (QFD). Penelitian ini difokuskan pada proses rantai pasokan gudang perakitan di PT XYZ. Analisis risiko pada HOR 1 dimulai dengan mengidentifikasi risiko melalui diskusi dengan para ahli dan tinjauan literatur, diikuti dengan penilaian tingkat keparahan kejadian risiko dan nilai kejadian agen risiko. Temuan dari HOR 1 mengidentifikasi 18 kejadian risiko dan 27 agen risiko. Dengan menggunakan analisis Pareto, 13 agen risiko prioritas telah diidentifikasi, dengan agen risiko tertinggi adalah ketidaksesuaian kualitas material dari pemasok, yang memiliki nilai ARP sebesar 3216. HOR 2 merumuskan 13 tindakan pencegahan untuk mengurangi risiko prioritas ini. Pemrosesan data pada HOR 2 mengungkapkan bahwa terdapat tiga kelompok tindakan pencegahan yang harus diimplementasikan yaitu tiga kelompok tindakan pencegahannya yaitu menyusun dan melaksanakan Standard Operating Procedure (SOP) yang komprehensif serta program pelatihan, mengevaluasi dan menerapkan sistem teknologi informasi terbaru, menerapkan Warehouse Management System (WMS) secara real-time.

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Risk management includes a systematic process for identifying, evaluating, and controlling risks in all company activities to enhance overall effectiveness and efficiency in efforts to improve supply chain resilience. In this study, the House of Risk (HOR) methodology is applied. This method is adapted from the Failure Mode and Effect Analysis (FMEA) and the Quality Function Deployment (QFD) correlation model. The research is focused on the assembly warehouse supply chain process at PT XYZ. The risk analysis in HOR 1 begins with identifying risks through expert discussions and literature review, followed by an assessment of the severity of risk events and the occurrence values of risk agents. The findings from HOR 1 indicate 18 risk events and 27 risk agents. Using Pareto analysis, 13 priority risk agents were identified, with the top risk agent being the unsuitability of material quality from suppliers, which has an ARP value of 3216. HOR 2 outlines 13 preventive measures to mitigate these priority risks. Data processing at HOR 2 revealed three groups of preventive measures to be implemented: developing and implementing comprehensive SOPs and training programs, evaluating and adopting the latest information technology systems, and implementing a real-time Warehouse Management System (WMS)."

"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).

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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).

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Sektor pertanian merupakan sektor yang berperan penting dalam memenuhi angka kebutuhan pangan masyarakat terutama beras dimana Indonesia memproduksi sekitar 54.748.975,85 ton Gabah Kering Giling (GKG) pada tahun 2022. Guna memenuhi angka kebutuhan beras nasional secara menyeluruh, Pemerintah Indonesia mengambil peran salah satunya melalui pendirian Perusahaan Umum Badan Urusan Logistik (Perum BULOG). Dalam menjalankan tugasnya, terdapat beberapa tantangan sektor pertanian yang ada saat ini maupun yang akan datang yang harus dihadapi oleh Perum BULOG terutama potensi terjadinya kemarau ekstrim yang dapat berdampak pada banyaknya lahan padi di Indonesia tidak terkecuali di Provinsi DIY. BULOG-Yogyakarta dalam menghadapi hal ini masih memerlukan kajian mitigasi risiko dalam rantai pasoknya agar ketersediaan stok tetap aman karena masih terdapat beberapa permasalahan yang kerap ditemui di dalam rantai pasoknya. Penelitian ini bertujuan untuk mengidentifikasi sumber-sumber risiko  yang ada di dalam rantai pasok beras BULOG-Yogyakarta serta merancang strategi mitigasi risiko berdasarkan sumber risiko yang teridentifikasi. Metode yang digunakan dalam penelitian ini adalah metode House of Risk (HOR). Metode ini terbagi atas dua tahap, tahap pertama untuk menentukan prioritas agen risiko dan tahap kedua untuk merancang dan menentukan prioritas strategi mitigasi. Dari penelitian yang telah dilakukan, teridentifikasi 27 kejadian risiko dan 23 agen risiko. Hasil pengolahan pada HOR tahap 1 didapatkan 14 agen risiko prioritas yang mencakup 80% dari total nilai Aggregate Risk Potential (ARP) berdasarkan diagram pareto. Kemudian, hasil pengolahan HOR tahap 2 teridentifikasi 26 strategi mitigasi yang diusulkan untuk mengontrol agen risiko prioritas.

 

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Agricultural sector plays a crucial role in fulfill the population demand of food, especially rice where Indonesia produced approximately 54,748,975.85 tons of milled rice (GKG) as of 2022. To fulfill the national rice demand comprehensively, the Indonesian Government plays a role, including through the establishment of the State-Owned Enterprise, the Logistics Agency (Perum BULOG). In carrying out its duties, there are several challenges in the agricultural sector, both current and future, that need to be addressed by Perum BULOG, especially the potential impact of extreme drought on rice fields in Indonesia, including the Yogyakarta Special Region (DIY). BULOG-Yogyakarta still requires a risk mitigation study in its supply chain to ensure the availability of rice stocks remains secure due to various commonly encountered issues in their supply chain. This research aims to identify the sources of risks within the rice supply chain of BULOG-Yogyakarta and design risk mitigation strategies based on the identified risk sources. The method used in this research is the House of Risk (HOR) method, which consists of two stages. The first stage is to prioritize the risk agents, while the second stage involves designing and prioritizing mitigation strategies. From the conducted research, 27 risk events and 23 risk agents were identified. The processing results in the first stage of HOR revealed 14 priority risk agents, which account for 80% of the total Aggregate Risk Potential (ARP) value based on the pareto diagram. Furthermore, the processing results in the second stage of HOR identified 26 proposed mitigation strategies to control the priority risk agents.

 

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