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All Journal Jurnal Masyarakat Informatika Format : Jurnal Imiah Teknik Informatika Jurnal CoreIT KOMPUTIKA - Jurnal Sistem Komputer Building of Informatics, Technology and Science Journal of Computer System and Informatics (JoSYC) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Teknik Informatika (JUTIF) JiTEKH (Jurnal Ilmiah Teknologi Harapan) Jurnal Pendidikan dan Teknologi Indonesia Bulletin of Computer Science Research J-Intech (Journal of Information and Technology) Bulletin of Data Science Paradigma JEECS (Journal of Electrical Engineering and Computer Sciences) Jurnal Ilmiah Informatika dan Ilmu Komputer Bulletin of Informatics and Data Science International Journal of Informatics and Data Science Jurnal Informatika dan Rekayasa Perangkat Lunak
Wang, Junhai
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Journal : Building of Informatics, Technology and Science

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Hybrid Entropy and CRADIS Method Approach in Decision Support System for Selecting the Best Employees Wang, Junhai; Setiawansyah, Setiawansyah; Saputra, Very Hendra
Building of Informatics, Technology and Science (BITS) Vol 7 No 4 (2026): March 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i4.8985

Abstract

Selecting the right employees is a key factor in improving organizational performance and productivity. However, in many organizations, the employee selection process is still conducted through manual assessments and subjective judgments, which may lead to bias and inconsistent decisions. Therefore, a systematic and objective approach is needed to support the evaluation process. This study integrates the Entropy method and the CRADIS method within a decision support system to determine the best employee candidates. The Entropy method is applied to calculate objective criteria weights based on the variation of information in the data, while the CRADIS method is used to rank candidates according to their proximity to the ideal solution and distance from the anti-ideal solution. The integration of these two methods provides a framework that reduces subjectivity in determining criterion importance and produces more discriminative ranking results. The findings indicate that candidate GF achieved the highest score of 0.6848, followed by EY with 0.6835 and AR with 0.6528, showing that these candidates have performance profiles closest to the defined criteria. In addition, sensitivity analysis using several scenarios of criteria weight changes demonstrates that the proposed model is relatively stable, with an overall ranking consistency of 81.8%, while alternatives AR, DI, and FR show 100% ranking stability. These results indicate that the Entropy–CRADIS approach can improve the accuracy, objectivity, and reliability of employee selection decisions in multi-criteria decision-making environments.
Co-Authors Aditia Yudhistira Alita, Debby Anars, M. Ghufroni Ardiansah, Temi Ari Sulistiyawati Ariany, Fenty Asistyasari, Ayuni Chandra, Iryanto Dedi Darwis Gunawan, Rakhmat Dedi Imam Ahmad Isnain, Auliya Rahman Jumaryadi, Yuwan Megawaty, Dyah Ayu Mesran, Mesran Nirwana Hendrastuty Nuryaman, Yosep Oprasto, Raditya Rimbawan Palupiningsih, Pritasari Pasaribu, A. Ferico Octaviansyah Permata, Permata Putra, Ade Dwi Riska Aryanti Ryan Randy Suryono Setiawansyah Setiawansyah Sitna Hajar Hadad Sumanto, Sumanto Ulum, Faruk Very Hendra Saputra Wahyudi, Agung Deni Yuri Rahmanto