Sistem Pendukung Keputusan Penentuan Lokasi Usaha Kuliner Menggunakan Metode Analytic Hierarchy Process (AHP) dan Technique for Others Reference by Similarity to Idealsolution (TOPSIS)

This study focuses on developing a Decision Support System (DSS) to assist culinary business owners in selecting optimal business locations. The research integrates the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods into the decision support system. AHP is used to objectively determine the weights of several criteria through pairwise comparisons, while TOPSIS is employed to evaluate location alternatives based on their proximity to the ideal solution. The AHP and TOPSIS calculations reveal that criterion K3 (Distance from transportation facilities) has the highest weight of 0.3053, followed by K1 (Distance from residential areas) with a weight of 0.2698, highlighting that accessibility to residential areas and public transportation are important factors in business location selection. Integrating the DSS with a Map API further aids users in making location-related business decisions.

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Publication Details

Journal
Jurnal Teknologi dan Manajemen Informatika
Published
2024-12-24
DOI
https://doi.org/10.26905/jtmi.v10i2.14791
Primary Topic
Management and Optimization Techniques
Type
article
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article

Sistem Pendukung Keputusan Penentuan Lokasi Usaha Kuliner Menggunakan Metode Analytic Hierarchy Process (AHP) dan Technique for Others Reference by Similarity to Idealsolution (TOPSIS)

Laila Isyriyah, Rakhmad Maulidi, Achmad Zaza Sandri A Fandi
Jurnal Teknologi dan Manajemen Informatika
Management and Optimization Techniques
article

Sistem Pendukung Keputusan Penentuan Lokasi Usaha Kuliner Menggunakan Metode Analytic Hierarchy Process (AHP) dan Technique for Others Reference by Similarity to Idealsolution (TOPSIS)

Laila Isyriyah, Rakhmad Maulidi, Achmad Zaza Sandri A Fandi
article en

Abstract

This study focuses on developing a Decision Support System (DSS) to assist culinary business owners in selecting optimal business locations. The research integrates the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods into the decision support system. AHP is used to objectively determine the weights of several criteria through pairwise comparisons, while TOPSIS is employed to evaluate location alternatives based on their proximity to the ideal solution. The AHP and TOPSIS calculations reveal that criterion K3 (Distance from transportation facilities) has the highest weight of 0.3053, followed by K1 (Distance from residential areas) with a weight of 0.2698, highlighting that accessibility to residential areas and public transportation are important factors in business location selection. Integrating the DSS with a Map API further aids users in making location-related business decisions.

Jurnal Teknologi dan Manajemen InformatikaVol. 10(2)
Openalex Percentile: Top 49%
Management and Optimization Techniques
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