Article Per Year (5 Year)
p-Index From 2021 - 2026
1.757
P-Index
This Author published in this journals
All Journal JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal CoreIT Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Reputasi: Jurnal Rekayasa Perangkat Lunak Paradigma JEECS (Journal of Electrical Engineering and Computer Sciences) TEKNOSIA Bulletin of Informatics and Data Science Jurnal Informatika dan Rekayasa Perangkat Lunak Journal of Decision Support Systems and Multi-Criteria Decision Making (JODESMA)
Junhai Wang
Zhejiang Technical Institute of Economics
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Engineering Library & Information Science Transportation

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
Comparative Analysis of Objective Weighting Approaches in Multi-Criteria Decision Making Using WASPAS Sanriomi Sintaro; Pritasari Palupiningsih; Junhai Wang
Journal of Decision Support Systems and Multi-Criteria Decision Making Vol. 1 No. 1 (2026): November 2026
Publisher : Asosiasi Peneliti Informatika dan Komputer untuk Riset (PILAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67449/jodesma.v1i1.2

Abstract

Selecting the best-performing honorary employee is a multi-criteria decision-making problem because employee performance is influenced by several criteria with different levels of importance. This study aims to conduct a comparative analysis of objective weighting approaches in the Weighted Aggregated Sum Product Assessment (WASPAS) method for evaluating honorary employee performance and examining the stability of the resulting rankings. Eight alternatives, namely HE-A to HE-H, were evaluated using five criteria: Work Performance, Discipline, Cooperative Ability, Initiatives and Problem Solving, and Communication Skills. Twelve objective weighting methods, namely Entropy, G2M, RECA, LOPCOW, CRITIC, MEREC, WENSLO, LOGSTA, LODECI, ITARA, SITDE, and DAM, were independently applied to determine criterion weights. The resulting weights were then integrated into WASPAS to generate alternative rankings under different weighting scenarios. The results show that HE-F consistently achieved the first rank across all objective weighting approaches, while HE-E consistently occupied the eighth position. The ranking comparison further indicates that most methods produce ranking patterns close to the original ranking, although MEREC introduces greater changes in several alternative positions. Spearman rank correlation analysis confirms a strong consistency of the resulting rankings, with the highest correlation obtained by LODECI, SITDE, and DAM at 0.9524, followed by G2M and CRITIC at 0.9286 and MEREC at 0.9048. Overall, the findings demonstrate that the combination of objective weighting approaches and WASPAS provides a reliable framework for employee performance evaluation, while comparative correlation analysis can be used to assess ranking stability and robustness across different weighting perspectives.
Co-Authors Aditia Yudhistira Asistyasari, Ayuni Dedi Darwis Faruk Ulum Fenty ariany Gunawan, Rakhmat Dedi Iryanto Chandra Palupiningsih, Pritasari Pritasari Palupiningsih Riska Aryanti Ryan Randy Suryono Sanriomi Sintaro Setiawansyah Setiawansyah Sitna Hajar Hadad Sufiatul Maryana Sumanto Sumanto Temi Ardiansah Ulum, Faruk Wahyudi, Agung Deni Yosep Nuryaman Yuri Rahmanto