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All Journal Folia Medica Indonesiana Brilliance: Research of Artificial Intelligence Jurnal Rekam Medis dan Manajemen Informasi Kesehatan Interdisciplinary Journal on Law, Social Sciences and Humanities Jurnal Pengabdian Teknik dan Ilmu Komputer (PETIK) Scientific Journal of Informatics CSRID
Nugroho, Ahmad
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Health Professions Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Journal : Scientific Journal of Informatics

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Determining Lecturers’ Research Linearity Using Simple Additive Weighting and Technique for Order Preference by Similarity to Ideal Solution Narulita, Siska; Nugroho, Ahmad; Abdillah, M. Zakki
Scientific Journal of Informatics Vol. 11 No. 4: November 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i4.14024

Abstract

Purpose: This study aims to conduct a comparative analysis of the decision-making methods of Simple Additive Weighting (SAW) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and build a decision support system that can be used to determine the linearity of lecturers’ research in their scientific fields. The analysis aims to assist relevant institutions in determining research linearity and guiding lecturers in their research policies and directions. Methods: This study compares the performance of the SAW and TOPSIS methods, against the alternative ranking of lecturers’ research linearity. The performance of both methods was measured using accuracy and MSE, where a high accuracy value indicates that the method performs better and the value of MSE is small or close to zero indicating a better relevance. Result: The results showed that the SAW method has a better accuracy value of 100% and an average MSE value of 0.13. At the same time, the TOPSIS method has an accuracy value of 33% and an average MSE value of 0.58. Novelty: This study provides knowledge about the effectiveness and efficiency of decision-making methods to determine the lecturers’ research linearity, as a guideline for related institutions regarding research policy making. In addition, the results of this study also provide a framework for evaluating the recent decision-supporting method and improving the understanding of the implementation and performance of the methods.
Co-Authors Aritonang, Syofina Dwi Putri Johan Renaldo M. Zakki Abdillah Riana Susmayanti Siregar, Maria Siska Narulita Syahrani, Nabila wahjoe djatisoesanto