Journal of Intelligent Decision Support System (IDSS)
Vol 7 No 3 (2024): Intelligent Decision Support System (IDSS)

Implementation of AHP method in decision support system for AC brand selection at PT. Gemilang

Muhammad Haris (Universitas Muhammadiyah Sumatera Utara, Medan, Indonesia)
Andi Zulherry (Universitas Muhammadiyah Sumatera Utara, Medan, Indonesia)
Isman Efendi Limbong (Universitas Muhammadiyah Sumatera Utara, Medan, Indonesia)
Mahardika Abdi Prawira Tanjung (Universitas Muhammadiyah Sumatera Utara, Medan, Indonesia)



Article Info

Publish Date
18 Aug 2024

Abstract

The selection of the optimal AC brand for PT Gemilang faces complex challenges as it involves the evaluation of various criteria such as quality, cost, energy efficiency, and after-sales service. This research aims to apply the Analytic Hierarchy Process (AHP) method to determine the best AC brand based on these criteria. The AHP method is used to develop a comparison matrix, calculate the weights of criteria and alternatives, and check the consistency of the results. The analysis results show that Brand B has the highest final weight, making it the most optimal choice compared to the other alternatives. The implications of this study show that the AHP method can be effectively used for multi-criteria decision-making in product selection, providing data-driven recommendations and reducing subjective bias in the selection process. This research makes a significant contribution to a more structured decision-making practice at PT Gemilang.

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Journal Info

Abbrev

jidss

Publisher

Subject

Computer Science & IT

Description

An intelligent decision support system (IDSS) is a decision support system that makes extensive use of artificial intelligence (AI) techniques. Use of AI techniques in management information systems has a long history – indeed terms such as "Knowledge-based systems" (KBS) and "intelligent ...