The best location selection using analytical hierarchy process method

Authors

  • Sulton Nur Hakim Islamic University of Indonesia
  • Andika Julianto Putra Islamic University of Indonesia

DOI:

https://doi.org/10.12928/ijio.v3i1.4438

Keywords:

Decision Support System (DSS), Analytical Hierarchy Process, Best Location, Multi Criteria Decision Making

Abstract

CHUUO Plain Shirt Factory is a plain shirt manufacturer founded in 2016 and is located at Kaliurang road Km 9, Yogyakarta. They not only sell plain t-shirts but also sell screen printing shirts, receive screen printing services, and orders to make collared shirts (polo). For CHUUO Plain Shirt Factory, business location has an important role in the marketing process related to reaching the customers. One method that can be used to determine the location of a new business is Analytical Hierarchy Process (AHP). This study focuses on selecting the best alternative location by considering seven criteria: geography, cost, population, risk, facilities & infrastructure, availability of human resources, and developer credibility. The research method used was observation and direct interviews using a questionnaire. The result shows that alternative location A (Shop at Gejayan Road No.30) has the highest all weight evaluation value (0.45). Alternative location B (Shop at Kaliurang Road Km 4) has a value of all weight evaluation of 0.3. Alternative location C (Shop at Magelang Road Km 7) has valued all weight evaluations the lowest (0.25). Based on the analytical research conducted, it can be concluded that alternative location A (Shop at Gejayan Road No.30) is the best location to open a branch shop for CHUUO Plain Shirt Factory.

Author Biographies

Sulton Nur Hakim, Islamic University of Indonesia

Department of Industrial Engineering

Andika Julianto Putra, Islamic University of Indonesia

Department of Industrial Engineering

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Published

2022-02-03

How to Cite

Hakim, S. N., & Putra, A. J. (2022). The best location selection using analytical hierarchy process method. International Journal of Industrial Optimization, 3(1), 68–79. https://doi.org/10.12928/ijio.v3i1.4438

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Articles