JOMLAI: Journal of Machine Learning and Artificial Intelligence
Vol. 2 No. 1 (2023): March

DSS Approach with the AHP Method in the Selection of Quiz Participants at SDIT Permata Cendekia

Ahmad Fadhli Hasibuan (STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)
Rahmat W. Sembiring (Politeknik Negeri Medan, Medan, Indonesia)
Muhammad Ridwan Lubis (STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)



Article Info

Publish Date
31 Mar 2023

Abstract

This study aims to develop a decision support system for the selection of intelligent candidates using the Analytical Hierarchy Process (AHP) method. The case study was conducted at SDIT Permata Cendekia, an educational institution in Indonesia. The AHP method is used as a framework for making decisions based on hierarchically determined criteria and sub-criteria. The data needed in this study were obtained through interviews and observations at SDIT Permata Cendekia. After that, the steps in the AHP method, namely making a pairwise comparison matrix, calculating the weight of criteria and sub-criteria, and calculating alternative scores, are carried out in developing a decision support system. Based on the research, it was found that alternative A3 was the best alternative out of 12 alternatives assessed based on 4 (four) assessment criteria. This research is expected to be able to provide effective and efficient solutions in the process of selecting candidate quizzes at SDIT Permata Cendekia, as well as being the basis for developing a similar decision support system in selecting candidate quizzes at other educational institutions.

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Journal Info

Abbrev

jomlai

Publisher

Subject

Computer Science & IT Engineering

Description

Focus and Scope JOMLAI: Journal of Machine Learning and Artificial Intelligence is a scientific journal related to machine learning and artificial intelligence that contains scientific writings on pure research and applied research in the field of machine learning and artificial intelligence as well ...