Jupiter
Vol 16 No 2 (2024): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)

JURNAL SISTEM PENDUKUNG KEPUTUSAN PENILAIAN EFEKTIVITAS PEMILIHAN DOSEN TERBAIK ITBA DIAN CIPTA CENDIKIA BANDAR LAMPUNG MENGGUNAKAN METODE AHP DAN TOPSIS: This study aims to select the best lecturer using the Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The criteria used in this research include teaching experience, research quality or academic contribution, involvement in academic activities, presentation quality or abilit

Pramodiyo Wilantara, Rangga (Unknown)
Wasilah, Wasilah (Unknown)
Triloka, Joko (Unknown)



Article Info

Publish Date
20 Jun 2024

Abstract

The problem faced by ITBA Dian Cipta Cendikia is related to the assessment of the learning process which is currently still being carried out through filling out questionnaires by students and interviews. The assessment calculation process is still done manually, there needs to be a system that processes data on outstanding lecturers so that from this award all lecturers are motivated to develop their abilities.This research aims to select the best lecturer using the AHP and TOPSIS methods. The criteria used in this study include teaching experience, quality of research or academic contributions, involvement in academic activities, quality of presentation or ability to deliver material, openness to students, and the relevance of the material to the course. The weights for each of the seven criteria were determined through AHP, while TOPSIS was used to determine the best lecturer based on relative preference values. The results of the study indicate that Akni Widyastuti has the highest relative preference value, namely 0.700. The calculations carried out show that the AHP and TOPSIS methods provide structured and objective results in determining the best lecturers based on various relevant criteria.   Keywords: Analytic Hierarchy Process (AHP), TOPSIS, Decision Support System.

Copyrights © 2024






Journal Info

Abbrev

jupiter

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science

Description

Tentang Jurnal Ini Fokus dan Ruang Lingkup Bidang kajian yang dapat dimuat pada jurnal Jupiter meliputi dan tidak terbatas pada: Mobile Computing Image Processing Computer Graphic Artificial Intelligence Information Retrieval Computer Vision Algorithm & Complexity Data Mining Information System ...