Motorcycle workshop selection recommendation system in gading serpong using the topsis method
DOI:
https://doi.org/10.35335/mandiri.v12i3.249Keywords:
Gading Serpong, Motorcycle Workshop, Recommendation System, TOPSIS Method, Various CriteriaAbstract
In Indonesia, motorbike repair shops have become a necessity for motorbike riders. The large number of motorcycle repair shops makes it difficult for users to determine the right repair shop according to their needs. Thus, the role of the recommendation system is needed. In order to meet the need for various criteria, a recommendation system for selecting a motorbike repair shop was built using a case study in Gading Serpong. The criteria used are distance, service, speed, price, and comfort of the waiting area. The TOPSIS method (Technique for Order Preference by Similarity to Ideal Solution) is a multi-criteria method that is computationally efficient and is able to measure the relative performance of various decision alternatives in simple mathematical form. Therefore, this research system was built using the TOPSIS method. The test results in this research show that the TOPSIS method has been implemented correctly. Apart from that, a success test of the recommendation system has been carried out by distributing questionnaires, with a success percentage of 82.24%. The questionnaire results obtained have also been tested using Cronbach Alpha, with a result of 0.81, which means that the questionnaire results obtained can be trusted
References
Abdurraffi, M., & Tobing, F. A. T. (2023). Implementation of AHP and Topsis Algorithm on Web-based Application Design to Determine Prospective Winners of Betta Fish Contest. Ultimatics: Jurnal Teknik Informatika, 15(1), 1–9.
Ciaputra, A. T., & Hansun, S. (2020). Rekomendasi Pemilihan Film Dengan Hybrid Filtering Dan Knearest Neighbor. Jurnal Rekayasa Informasi, 9(2), 101–109.
Daniati, E. (2023). Sistem Rekomendasi Pembelian Spare Part Sepeda Motor. Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi), 7(3), 1392–1402.
Falahin, A. N., Isyriyah, L., & Purwiantono, F. E. (2019). Sistem Pendukung Keputusan Pemilihan Karyawan Berprestasi Hugos Café Malang Dengan Metode TOPSIS. Jurnal Teknologi Informasi, 10(2), 79–90.
Kristianto, B., Suryadibrata, A., & Hansun, S. (2021). Rekomendasi Pemilihan Mobil dengan Algoritma VIKOR. Jurnal Sains Dan Informatika, 7(1), 97–106.
Kusnadi, A., & Kurniawan, E. (2017). Implementation of TOPSIS method in web based system recommendations for students laptop selection (Case study: Bhinneka. com). IJNMT (International Journal of New Media Technology), 4(1), 42–45.
Kusnadi, A., Widiarso, C. K., & Hugeng, H. (2016). Rancang Bangun Sistem Rekomendasi Pemilihan Smartphone Berbasis Web. Ultima InfoSys: Jurnal Ilmu Sistem Informasi, 7(1), 31–37.
Lado, Y., & Belutowe, Y. S. (2020). SISTEM PENDUKUNG KEPUTUSAN SELEKSI CALON KARYAWAN BERDASARKAN HASIL TES PSIKOLOGI MENGGUNAKAN METODE TOPSIS. Seminar Nasional & Konferensi Ilmiah Sistem Informasi, Informatika & Komunikasi, 1137–1144.
Muliawan, A., Badriyah, T., & Syarif, I. (2022). Membangun Sistem Rekomendasi Hotel dengan Content Based Filtering Menggunakan K-Nearest Neighbor dan Haversine Formula. Technomedia Journal, 7(2 October), 231–247.
Rinaldi, A., Rahmadani, N., Papilo, P., Silvia, S., & Rizki, M. (2021). Analisa Pengambilan Keputusan Pemilihan Bahan Dalam Pembuatan Kemeja Menggunakan Metode TOPSIS. SITEKIN: Jurnal Sains, Teknologi Dan Industri, 18(2), 163–172.
Rupang, M. A., & Kusnadi, A. (2018). Implementasi Metode Entropy dan Topsis Dalam Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik. Ultima Computing: Jurnal Sistem Komputer, 10(1), 13–18.
Sukma, H., Tobing, F. T., & Nainggolan, R. (2021). Sistem Pendukung Keputusan Dalam Pemilihan Hotel di Tangerang Menggunakan Metode AHP dan Topsis. METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi, 5(1), 67–72.
Surahman, A., & Nursadi, N. (2019). Sistem Pendukung Keputusan Kenaikan Gaji Karyawan Dengan Metode Topsis Berbasis Web. JTKSI (Jurnal Teknologi Komputer Dan Sistem Informasi), 2(3), 82–87.
Syahrul Setyawan, D., DANIATI, E., & INDRIATI, R. (2023). SISTEM REKOMENDASI PEMBELIAN SPARE PART SEPEDA MOTOR. Universitas Nusantara PGRI Kediri.
WARDHANA, A. G. (n.d.). Pengembangan Sistem Rekomendasi Pemilihan Spare Part Pada Bengkel Langgeng Jaya Motor Dengan Metode Weighted Product (WP).
Waworuntu, A., & Hermawan, I. (2023). Penerapan Metode Weighted Product dalam Sistem Rekomendasi Pemilihan Ban Sepeda Motor. Jurnal Minfo Polgan, 12(1), 273–279.
Wibisono, C., Haryadi, L. S., Widyaya, J. E., & Liliawati, S. L. (2021). Sistem Rekomendasi Suku Cadang Berdasarkan Item Based Filtering. Jurnal Teknik Informatika Dan Sistem Informasi, 7(1).
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Septaria Dwi Natapura, Fenina Adline Twince, Adhi Kusnadi, Rena Nainggolan
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
