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Jihan Muhrifa Faradillah
universitas muhammadiyah sorong
Control & Systems Engineering Decision Sciences, Operations Research & Management Energy Engineering Industrial & Manufacturing Engineering

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PENERAPAN SUPPLY CHAIN OPERATIONS REFERENCE ( SCOR ) UNTUK MENINGKATKAN EFISIENSI RANTAI PASOK DALAM INDUSTRI PENGOLAHAN IKAN TUNA Fahrulludin Dg Parany; Asih Ahistasari; Jihan Muhrifa Faradillah; Dirgantari Ria Kadang; Masniar Masniar
Industrial Engineering Journal – System Vol 2 No 02 (2024): Vol. 2 No. 02 (2024): Industrial Engineering Journal – System
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/system.v2i02.3561

Abstract

Penelitian ini mengkaji efisiensi rantai pasokan industri pengolahan ikan di Kota Sorong, Papua Barat, menggunakan metode Supply Chain Operations Reference (SCOR). Melalui pendekatan sistematik literatur review dan analisis bibliometrik, penelitian ini mengidentifikasi area yang perlu diperbaiki dan strategi untuk meningkatkan efisiensi rantai pasokan. Data dikumpulkan dari Google Scholar menggunakan Publish or Perish dan dianalisis dengan Vosviewer, menghasilkan 33 jurnal terkait dengan 5 kata kunci, yang divisualisasikan dalam 9 kluster dan 41 item. Penelitian ini mengevaluasi dampak penerapan SCOR terhadap kualitas, lead time, biaya, dan kepuasan pelanggan, serta mengidentifikasi hambatan dan faktor keberhasilan implementasinya. Hasil penelitian diharapkan dapat meningkatkan efisiensi dan daya saing industri pengolahan ikan di Kota Sorong, memberikan referensi bagi bisnis sejenis, dan menawarkan masukan berharga bagi pengambil kebijakan. Studi ini juga mengungkapkan kurangnya penelitian terkait SCOR dalam industri pengolahan ikan, sehingga dapat menjadi dasar bagi penelitian selanjutnya.
ANALISIS DAN EVALUASI MANAJEMEN RISIKO PADA USAHA LAUNDRY RUMAHAN MENGGUNAKAN METODE LIKELIHOOD DAN CONSEQUENCE RISK MATRIKS Jihan Muhrifa Faradillah; Mirga Maulana Rachmadhani; Dirgantari Ria Kadang; Fadila Mahmud; Irman Amri
Industrial Engineering Journal – System Vol 2 No 02 (2024): Vol. 2 No. 02 (2024): Industrial Engineering Journal – System
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/system.v2i02.3579

Abstract

Home laundry business has become a popular entrepreneurial option in Indonesia due to its ease of start-up and the increasing need for laundry services. However, this business also faces various risks that need to be managed properly to ensure its sustainability and success. This study aims to evaluate risk management in home-based laundry businesses in Sorong City using the Likelihood and Consequence Risk Matrix method. This method combines the criteria of risk likelihood and consequence to quantify and prioritize risks. Data was obtained through surveys and direct interviews with respondents and literature studies from various sources. Data analysis was conducted using Descriptive Analysis. The identification results show that there are nine main risks divided into operational, financial, strategic, and fraud categories. These risks were then analyzed and scored based on their likelihood and impact. The findings show that exposure to hazardous chemicals (R1) and timeliness of pick-up and delivery (R4) are the highest risks and require immediate mitigation actions. Suggested mitigations include the use of safe chemicals, employee training, provision of personal protective equipment, and improved transportation management. By implementing these mitigation strategies, it is expected that home-based laundry businesses can reduce the negative impact of the identified risks and improve operational efficiency and business sustainability. This research provides significant insights for home laundry business owners and researchers in the field of small and medium enterprise risk management.
Co-Authors Ahistasari, Asih Amri, Irman Dirgantari Ria Kadang Fadila Mahmud Fahrulludin Dg Parany Masniar Masniar Mirga Maulana Rachmadhani