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All Journal Journal of Economics, Business, & Accountancy Ventura Jurnal Edukasi dan Penelitian Informatika (JEPIN) Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Format : Jurnal Imiah Teknik Informatika CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Indonesian Journal of Information System Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Riset Informatika JURNAL DE JURE MUHAMMADIYAH CIREBON Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Journal Social Science And Technology For Community Service Jurnal Pendidikan dan Teknologi Indonesia J-SAKTI (Jurnal Sains Komputer dan Informatika) COMMENT: Journal of Community Empowerment Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Al-Qarawiyyin: Jurnal Ilmu Ushuluddin
Imam Ahmad
Bogor Agricultural University
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Journal : Format : Jurnal Imiah Teknik Informatika

 1 
Decision Support System in Determining the Optimal Raw Material Supplier Using a Combination of Entropy and MOORA Wang, Junhai; Ahmad, Imam; Setiawansyah, Setiawansyah
FORMAT Vol 14, No 2 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2025.v14.i2.006

Abstract

The selection of the right raw material supplier plays a crucial role in ensuring the efficiency and sustainability of supply chain management. However, the decision-making process is often complex due to the multiple criteria that must be considered simultaneously, such as quality, price, delivery timeliness, production capacity, and flexibility. To address this challenge, this study applies a decision support system that integrates the Entropy method for objective weighting of criteria and the MOORA method for ranking alternatives. Entropy weighting provides an unbiased determination of the importance of each criterion based on data variation, while MOORA delivers a systematic ranking of suppliers by combining benefit and cost criteria into a comprehensive performance score. The results of the analysis on eight supplier alternatives show that Supplier S8 achieves the highest ranking, followed by Supplier S3 and Supplier S6, indicating their superior ability to meet the defined criteria, especially in capacity and flexibility. Meanwhile, Supplier S4 ranks the lowest, reflecting its relatively weaker performance across several aspects. These findings demonstrate that the combination of Entropy and MOORA provides a reliable, objective, and transparent framework to support decision-making in supplier selection.
Co-Authors -, Aldo Febrian Alhafizh, Muhammad Aqil Ali Ikhwan Alita, Debby Amrizal, Nabila Az-Zahra Najwa Asmawati Asmawati Azmi, Arief Azmi, Rakha Ghoffur Bi Rahmani , Nur Ahmadi Darwanto, Imam FEBRIAN, ANGGA Febriansyah, Arif Fernando, Yusra H. Aly, Moustafa Halim Faturohman, Ryan Hasrina, Cut Delsi Heni Sulistiani Mahendra, Amza Muhammad Dedi Irawan Neneng Neneng Nuri Aslami Nurul Husna Octaviansyah Pasaribu, Ferico Pariyanto Pariyanto, Pariyanto Prabowo, Yussof Taqy Puspaningtyas, Nicky Dwi Rahmatulloh, Bagus Sifak Udin Rani, Ni Made Suka Ratuain, Rafika Indi Qut Rohmat Indra Borman SANTIKA, YULI Sari, Raras Kartika Sena, Fikih Yuhada Setiawansyah Setiawansyah Shodik, Nur Surahman, Ade Suwarni, Emi Wahyu Widodo Wang, Junhai YOHANA TRI UTAMI, YOHANA TRI Yulianto, Ferdi