Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Vol. 2 No. 1 (2024): Januari : Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika

Analisis Sistem Pendukung Keputusan Menggunakan Algoritma AHP Dan Topsis Untuk Menentukan Mahasiswa Lulusan Terbaik

Mukminatul Munawaroh (Universitas Muhammadiyah Kalimantan Timur)
Hamada Zein (Universitas Muhammadiyah Kalimantan Timur)
Fajri Harits Muzaki (Universitas Muhammadiyah Kalimantan Timur)
Febri Ananda Chairi (Universitas Muhammadiyah Kalimantan Timur)
Lidya Sari (Universitas Muhammadiyah Kalimantan Timur)
Bobi Zinaidin Zidan (Universitas Muhammadiyah Kalimantan Timur)
Muhammad Aditya Pratama (Universitas Muhammadiyah Kalimantan Timur)
Novia Hidayati Ramadhani (Universitas Muhammadiyah Kalimantan Timur)
Reyka Luna Karalo (Universitas Muhammadiyah Kalimantan Timur)
Ririn Wahyuni (Universitas Muhammadiyah Kalimantan Timur)



Article Info

Publish Date
02 Jan 2024

Abstract

This research examines the application of the Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods in determining the best graduate students in the Ners Professional Study Program at Muhammadiyah University of East Kalimantan. The third step of the AHP method involves converting the values in the pairwise comparison matrix to decimal form, which is then normalized to calculate the priority weight of each criterion and sub-criteria. Next, checking the logic of the criteria and designing AHP-TOPSIS for ranking were carried out. The analysis showed that AHP resulted in 5 ranking changes with a percentage change of 4.4%, while TOPSIS resulted in 3 ranking changes with a percentage change of 3.9%. From these results, the AHP-TOPSIS method proved to have an accuracy of 83.00%. This article also presents a comparison between AHP, TOPSIS, and AHP-TOPSIS methods, where the best student selected is Dinda Ayu Framaisella. This research provides practical guidance for decision makers in solving multi-criteria problems and contributes to the selection of the best graduate students with a comprehensive and accurate approach.

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