SELBY AMANDA ARITONANG, NPM 2007100016 (2023) SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI USAHA COFFE SHOP MENGGUNAKAN METODE MOORA. Tugas_Akhir (Artikel) Jurnal TEKINKOM, 6 (2). pp. 384-390. ISSN 2621-3079 (e-ISSN)/ 2621-1556 (p-ISSN)
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Abstract
The coffee shop business in Indonesia has become a promising trend, considering the coffee drinking culture that involves various groups of society. This research aims to solve the problem of selecting a coffee shop business location for the community in Bagan Batu, Bagan Sinembah District, Rokan Hilir Regency, Riau Province. To make it easier to choose a coffee shop business location, this is done by building a decision support system that can help people easily choose a coffee shop business location. The decision support system was built using the Multi-Objective Optimization method based on Ratio Analysis (MOORA). The decision support system for selecting a coffee shop business location uses criteria consisting of location distance from the city center, level of competition, road conditions, parking area and rental price. From the results of data processing that has been carried out in the Decision Support System for selecting coffee shop business locations, the recommendation for the best business location with rank 1 is location_04 with a value of 0.20300, rank 2 is location_08 with a value of 0.18598, and rank 3 is location_08 with a value of 0.18566 . With this Decision Support System, potential coffee shop owners in Bagan Batu can easily and quickly choose the optimal location for their business. Keywords : Selection, Coffee Shop, MOORA, Criteria, Location
Item Type: | Article |
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Uncontrolled Keywords: | Selection, Coffee Shop, MOORA, Criteria, Location |
Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management T Technology > T Technology (General) Z Bibliography. Library Science. Information Resources > ZA Information resources |
Divisions: | Fakultas Sains Dan Teknologi > Informatika Komputer |
Depositing User: | Unnamed user with email repository@ulb.ac.id |
Date Deposited: | 03 Sep 2024 04:11 |
Last Modified: | 03 Sep 2024 04:11 |
URI: | http://repository.ulb.ac.id/id/eprint/1014 |
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