Sistem Pendukung Keputusan Pemilihan Sepeda Motor Listrik Menggunakan Fuzzy AHP-TOPSIS dengan Pendekatan User-Driven
- Muhammad Habib Universitas Islam Negeri Sultan Syarif Kasim, Riau, Indonesia
-
Yelfi Vitriani
*
Universitas Islam Negeri Sultan Syarif Kasim, Riau,
Indonesia
- Reski Mai Candra Universitas Islam Negeri Sultan Syarif Kasim, Riau, Indonesia
- Surya Agustian Universitas Islam Negeri Sultan Syarif Kasim, Riau, Indonesia
- Iwan Iskandar Universitas Islam Negeri Sultan Syarif Kasim, Riau, Indonesia (*) Corresponding Author
Abstract
The growth of electric motorcycles in Indonesia, which is projected to reach more than 196,000 units by mid-2025, has created complexity in consumers’ purchasing decision-making processes due to the wide variety of technical specifications across brands. This study designs and develops a user-driven Android-based Decision Support System by integrating the Fuzzy Analytical Hierarchy Process (Fuzzy AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to generate personalized recommendations for selecting electric motorcycles. The system evaluates 23 alternatives from seven brands with official dealers in Pekanbaru based on seven technical criteria: price, range, charging time, maximum speed, motor power, load capacity, and battery capacity. Criterion weights are determined dynamically through a 1–5 scale slider interface mapped to Triangular Fuzzy Numbers (TFN) and processed using Chang’s Extent Analysis Method (1996), while ranking is performed using TOPSIS. This study applies the Fuzzy AHP method to address the ambiguity in users’ subjective assessments, which are often not well accommodated by single crisp values in conventional AHP. The main contribution of this study lies in the simplification of the weight elicitation mechanism, which reduces 21 conventional pairwise comparisons to just seven direct slider inputs mapped into TFN form. Furthermore, this study successfully implemented this user-driven, slider-based mechanism into an Android-based decision support system (DSS) for selecting electric motorcycles that is directly accessible to end consumers. For system testing, all scenarios in the Black Box Testing (33 scenarios) were successfully executed without errors. Furthermore, an evaluation via User Acceptance Testing (UAT) using the USE Questionnaire framework on 10 respondents yielded an acceptability score of 83.2%, which falls into the “Highly Acceptable” category. Based on the Performance preference profile, the United RX6000 was determined to be the best alternative with a Closeness Coefficient value of 0.9377.
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References
Abastante, F., Corrente, S., Greco, S., Ishizaka, A., & Lami, I. M. (2019). A new parsimonious AHP methodology: Assigning priorities to many objects by comparing pairwise few reference objects. Expert Systems with Applications, 127, 109–120. https://doi.org/10.1016/j.eswa.2019.02.036
Ahmed, F., & Kilic, K. (2016). Comparison of Fuzzy Extent Analysis Technique and its Extensions with Original Eigen Vector Approach. Proceedings of the 18th International Conference on Enterprise Information Systems, 174–179. https://doi.org/10.5220/0005868401740179
Anggita, I., & Herman, J. J. (2024). Mendorong Transisi Lingkungan Hijau dan Karakteristik Produk pada Pembelian Subsidi Sepeda Motor Listrik yang Berkelanjutan. INTEGRAL: Jurnal Inovasi, Teknologi Terapan, Dan Litbang, 3(2), 72–86. https://jurnal.purworejokab.go.id/index.php/integral/article/view/47
Belgiawan, P. F., Ikhsani, N. M., & Arsallia, S. (2022). Consumers Choice Decision Towards Electric and Conventional Motorcycles. Jurnal Manajemen Teknologi, 21(1), 1–13. https://doi.org/10.12695/jmt.2022.21.1.1
BPS. (2024). Perkembangan Jumlah Kendaraan Bermotor Menurut Jenis (Unit). https://www.bps.go.id/id/statistics-table/2/NTcjMg==/perkembangan-jumlah-kendaraan-bermotor-menurut-jenis--unit-.html
Chang, D.-Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649–655. https://doi.org/10.1016/0377-2217(95)00300-2
Chen, C.-Y., & Huang, J.-J. (2022). Deriving Fuzzy Weights from the Consistent Fuzzy Analytic Hierarchy Process. Mathematics, 10(19), 3499. https://doi.org/10.3390/math10193499
Frish, S., Talmor, I., Hadar, O., Shoshany, M., & Shapira, A. (2025). Enhancing consistency of AHP-based expert judgements: A new approach and its implementation in an interactive tool. MethodsX, 14, 103341. https://doi.org/10.1016/j.mex.2025.103341
GAIKINDO. (2024). Survei: Peminat Kendaraan Listrik di Indonesia masih Sedikit. https://www.gaikindo.or.id/survei-peminat-kendaraan-listrik-di-indonesia-masih-sedikit/
Gilang, R., Himawan, I., Zikriah, Ramadhan, R. H., & Larasati, S. (2025). Sistem Pendukung Keputusan Rekomendasi Pemilihan Sepeda Motor Listrik PT Innolab Sains International dengan Metode SAW (Simple Additive Weighting). GATEWAY, 1(1), 17–31. https://ejurnal.umiba.ac.id/index.php/GATEWAY/article/view/38
Hasanah, N. (2022). Sistem Pendukung Keputusan Pembelian Sepeda Motor Listrik Menggunakan Metode AHP-TOPSIS. http://etheses.uin-malang.ac.id/43114/
Indriaty Indriaty, Yudho Wibowo, & Bayu Sedih Nanda Ria. (2025). Peran Faktor Psikology dan Merek pada pembelian Mobil Listrik di Pekanbaru. JUMBIWIRA : Jurnal Manajemen Bisnis Kewirausahaan, 4(2), 504–518. https://doi.org/10.56910/jumbiwira.v4i2.2708
Ishak, A., & Wanli. (2020). Analysis of Fuzzy AHP-TOPSIS Methods in Multi Criteria Decision Making: Literature Review. IOP Conference Series: Materials Science and Engineering, 1003(1), 012147. https://doi.org/10.1088/1757-899X/1003/1/012147
Korhonen, I. (2023). Multi-Attribute Consumer Choice and Decision Conflict: A Process Tracing Study.
Lund, A. (2001). Measuring Usability with the USE Questionnaire. Usability and User Experience Newsletter of the STC Usability SIG, 8.
Malik, M. A., & Setiawan, F. (2025). Analysis of Factors Influencing the Decision to Purchase Electric Motorcycles (Case Study in Padang City). TOFEDU: The Future of Education Journal, 4(3), 760–768. https://journal.tofedu.or.id/index.php/journal/article/view/489
Melnik-Leroy, G. A., & Dzemyda, G. (2021). How to Influence the Results of MCDM?—Evidence of the Impact of Cognitive Biases. Mathematics, 9(2), 121. https://doi.org/10.3390/math9020121
Mobil123.com. (2025, August). Populasi Kendaraan Listrik di Indonesia sampai Juni 2025 sudah 274 Ribu Unit. https://www.mobil123.com/berita/populasi-kendaraan-listrik-di-indonesia-sampai-juni-2025-sudah-274-ribu-unit-144857/144857
Nielsen, J. (2000). Why you only need to test with 5 users. https://www.nngroup.com/articles/why-you-only-need-to-test-with-5-users/
Nisa, K. (2022). Aplikasi Pemilihan Vendor Menggunakan Metode Fuzzy AHP Dan TOPSIS. Jurnal Ilmiah Media Sisfo, 16(1), 20–32. https://doi.org/10.33998/mediasisfo.2022.16.1.1159
Nugroho, J., Maharani, N., & Aprianto, R. (2025). Dampak Persepsi Keuntungan Dan Karakteristik Individu Terhadap Minat Pembelian Sepeda Motor Listrik : Literature Review. NUSANTARA: Jurnal Ilmu Pengetahuan Sosial, 12(7), 3172–3176. https://doi.org/10.31604/jips.v12i7.2025.3172-3176
Pascoe, S. (2022). A Simplified Algorithm for Dealing with Inconsistencies Using the Analytic Hierarchy Process. Algorithms, 15(12), 442. https://doi.org/10.3390/a15120442
Pascoe, S., Farmery, A., Nichols, R., Lothian, S., & Azmi, K. (2024). A Modified Analytic Hierarchy Process Suitable for Online Survey Preference Elicitation. Algorithms, 17(6), 245. https://doi.org/10.3390/a17060245
Peffers, K., Tuunanen, T., Rothenberger, M. A., & Chatterjee, S. (2007). A Design Science Research Methodology for Information Systems Research. Journal of Management Information Systems, 24(3), 45–77. https://doi.org/10.2753/MIS0742-1222240302
Pratiwi, A., Wibawa, B., & Baihaqi, I. (2020). Identifikasi Atribut Sepeda Motor Listrik terhadap Niat Membeli: Kasus di Indonesia. JURNAL SAINS DAN SENI ITS, 9(1), D35–D39. https://media.neliti.com/media/publications/487903-none-8472c9b0.pdf
Setiyaningsih, W. (2015). Konsep Sistem Pendukung Keputusan. Yayasan Edelweis.
Setyadi, H. A., & Perbawa, D. S. (2024). Electric Bicycle Selection System Using Multi Criteria Decision Making. JITK (Jurnal Ilmu Pengetahuan Dan Teknologi Komputer), 10(1), 142–151. https://doi.org/10.33480/jitk.v10i1.5163
Sihite, A., & Suhendar, E. (2021). Penilaian Supplier Menggunakan Metode Fuzzy Ahp dan Topsis Di PT. HP. Jurnal Ilmiah Teknik Industri, 9(1), 71. https://doi.org/10.24912/jitiuntar.v9i1.8688
Wicaksono, S. A., Huboyo, H. S., & Samadikun, B. P. (2024). Analisis Faktor-Faktor yang Mempengaruhi Pertumbuhan Kendaraan Listrik di Pulau Jawa sebagai Upaya Pengurangan Emisi Gas Rumah Kaca. Journal Serambi Engineering, 9(1), 8133–8139. https://jse.serambimekkah.id/index.php/jse/article/view/67
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