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All Journal Format : Jurnal Imiah Teknik Informatika Computatio : Journal of Computer Science and Information Systems Jurnal CoreIT Indonesian Journal of Electrical Engineering and Computer Science Journal Social Science And Technology For Community Service Journal of Engineering and Information Technology for Community Service Journal of Computing and Informatics Research Bulletin of Informatics and Data Science Jurnal Media Borneo Jurnal Informatika dan Rekayasa Perangkat Lunak
Very Hendra Saputra
Prodi Magister Pendidikan Matematika, Pascasarjana, FKIP – UNS
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Decision Support System for Video Editing Staff Recruitment Using a Combination of Entropy and Simple Additive Weighting Methods Wang, Junhai; Saputra, Very Hendra; Putra, Ade Dwi; Anars, M. Ghufroni; Pasaribu, A. Ferico Octaviansyah; Ardiansah, Temi
FORMAT Vol 15, No 1 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2026.v15.i1.006

Abstract

The recruitment process for video editing staff is a strategic stage in ensuring the quality of professional and competitive content production. However, candidate assessment often faces challenges of subjectivity and inaccuracy in decision-making when evaluators rely solely on intuitive judgment without a measured approach. This study aims to develop a decision support system based on Multi-Criteria Decision Making (MCDM) by integrating the Entropy method for objective determination of criteria weights and the Simple Additive Weighting (SAW) method in calculating the preference values of alternatives. Five evaluation criteria are used in the selection process, namely Editing, Creativity, Experience, Discipline, and Teamwork, with the final weights obtained through the Entropy method being 0.2867, 0.2248, 0.2573, 0.0685, and 0.1626. The study results show that the SAW method is capable of processing candidate evaluation scores comprehensively based on these weights, producing final scores that indicate the best candidates, namely Eko Firmansyah (0.986), Indra Mahendra (0.9699), and Candra Wijaya (0.9662) as the three candidates with the highest eligibility. This study demonstrates that the integration of the Entropy–SAW method is effective in creating a selection mechanism that is objective, transparent, and scientifically accountable, thus making a significant contribution to decision-making in the field of human resource management
Co-Authors Ahmad Ari Aldino Anars, M. Ghufroni An’ars, M. Ghufroni Ardiansah, Temi Arshad, Muhammad Waqas Asistyasari, Ayuni Dedi Darwis Febrianto, Endi Heni Sulistiani Iryanto Chandra Ismail, Izudin Ismail, Izzudin Khoirunnisa, Yosi Mardiyana Mardiyana Nirwana Hendrastuty Pasaribu, A. Ferico Octaviansyah Priandika, Adhie Thyo Putra, Ade Dwi Rahmadianti, Fitrah Amalia Rahman, Miftahur Sanriomi Sintaro Sari, Priskila Lovika Setiawansyah Setiawansyah Sri Subanti Wang, Junhai yasin, ikbal Yosep Nuryaman Yuri Rahmanto