DECISION SUPPORT SYSTEM FOR DETERMINING APPROPRIATE FRANCHISE LOCATIONS USING THE PROFILE MATCHING METHOD
DOI:
https://doi.org/10.34288/jri.v3i1.48Keywords:
Location, Franchise, Profile Matching Method, Decision Support SystemAbstract
Finding the appropriate location is crucial when starting a franchise. The appropriate location will affect the overall business risk and profitability of the franchise. Nevertheless, some franchises have a bankruptcy in running their business. One of the factors that contribute to the bankruptcy of a franchise business is a location that does not meet several criteria that support business success. Therefore, this study aims to propose a decision support system model to determine the location of the franchise based on matching profiles between the actual data value of a location and the value of the location profile expected by the franchisor. The profile matching method has a better level of objectivity because it measures the value of each indicator variable. The criteria for determining the location of a franchise are potential customers, access to location, competition, and costs. The test results show that the decision support system to determine the location of the franchise using the profile matching method meets the functional requirements. This decision support system helps franchises to determine the appropriate when starting a franchise.
Downloads
References
Danang, & Nisar, M. F. (2017). Sistem Pendukung Keputusan Pemilihan PTS Jurusan Komputer Menggunakan Metode AHP di Kota Semarang. Simetris, 8(1), 45–52.
Dhammayanti, K., Wicaksana, A., & Hansun, S. (2019). Position placement DSS using profile matching and analytical hierarchy process. International Journal of Scientific and Technology Research, 8(11), 204–207.
Efendi, Z. (2019). Sistem Pendukung Keputusan Pemilihan Lokasi Perumahan Menggunakan Metode Profile Matching. Jurteksi (Jurnal Teknologi Dan Sistem Informasi), VI(1).
Febrianty, & Fatmariani. (2018). e-WaUKM Sebagai Sarana Mengembangkan Usaha Waralaba Versi Grup UKM. Prosiding Seminar Nasional I Hasil Litbangyasa Industri Palembang, 128–136.
Fu’ad, E. N. (2015). Pengaruh Pemilihan Lokasi Terhadap Kesuksesan Usaha Berskala Mikro/Kecil Di Komplek Shopping Centre Jepara. Fakultas Ekonomi Dan Bisnis, Universitas Islam Nahdlatul Ulama Jepara, Vol. 30 No(1), 56–67. https://doi.org/10.1016/j.foodqual.2012.04.002
Imanuwelita, V., Putri, R. R. M., & Amalia, F. (2018). Penentuan Kelayakan Lokasi Usaha Franchise Menggunakan Metode AHP dan VIKOR. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 2(1), 122–132.
Khumaidi, A. (2016). Penerapan Case-Based Reasoning dan Algortima Nearest Neighbor Untuk Penentuan Lokasi Waralaba. Prosiding Annual Research Seminar 2016, 2(1), 45–51. Retrieved from http://ars.ilkom.unsri.ac.id
Mardiana, T., & Malau, Y. (2020). Research Report On Decision Support Systems To Determine The Appropriate Location of Franchises Using Profile Matching Methods. Jakarta.
P, N. E., Sihwi, S. W., & Anggraningsih, R. (2014). Sistem Penunjang Keputusan Untuk Menentukan Lokasi Usaha Dengan Metode Simple Additive Weighting ( SAW). Jurnal ITSMArRT, 3(1), 41–46.
Verdian, A., & Wantoro, A. (2019). Komparasi Metode Profile Matching Dengan Fuzzy Profile Matching Pada Pemilihan Wakil Kepala Sekolah. Jurnal Ilmiah Media Sisfo, 13(2), 97. https://doi.org/10.33998/mediasisfo.2019.13.2.652
Welda, Kusuma, A. S., & Mubaraq, S. (2017). Sistem Pendukung Keputusan Penentuan Kelayakan Lokasi Franchise Pada Pt . Semangat Pagi Indonesia Menggunakan. Jurnal Teknologi Informasi Dan Komputer, 3(02), 188–199.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Tati Mardiana, Yesni Malau
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The Jurnal Riset Informatika has legal rules for accessing digital electronic articles uunder a Creative Commons Attribution-NonCommercial 4.0 International License . Articles published in Jurnal Riset Informatika, provide Open Access, for the purpose of scientific development, research, and libraries.