p-Index From 2021 - 2026
5.662
P-Index
This Author published in this journals
All Journal Dinamik Techno.Com: Jurnal Teknologi Informasi Pixel : Jurnal Ilmiah Komputer Grafis Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika Jurnal Informatika dan Teknik Elektro Terapan Scientific Journal of Informatics Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Informatika Upgris JNKI (Jurnal Ners dan Kebidanan Indonesia) (Indonesian Journal of Nursing and Midwifery) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Teknologi Informasi MURA Indonesian Journal of Learning Education and Counseling Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Jurnal Sistem Informasi, Manajemen, dan Akuntansi (SIMAK) JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Brahmana : Jurnal Penerapan Kecerdasan Buatan Infotek : Jurnal Informatika dan Teknologi Jurnal Teknik Informatika (JUTIF) Jurnal Pendidikan dan Teknologi Indonesia Brilliance: Research of Artificial Intelligence Jurnal Rekam Medis dan Manajemen Informasi Kesehatan Jurnal Pengabdian Teknik dan Ilmu Komputer (PETIK) Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Jurnal Teknologi Informasi Mura Science Technology and Management Journal (STMJ) Scientific Journal of Informatics Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Scientific Journal of Informatics

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.