Published: 2024-07-01
Analisis Preferensi Mahasiswa di Salatiga Dalam Menentukan Jenis Kendaraan Online Gojek Menggunakan Metode Naïve Bayes
DOI: 10.35870/jtik.v8i3.2200
Henoch Juli Christanto, Davin Kurnia Hiuredhy, Willyam Chrisna Umbu Dagha, Stephen Aprius Sutresno, Christine Dewi
- Henoch Juli Christanto: Universitas Katolik Indonesia Atma Jaya
-
Davin Kurnia Hiuredhy:
Satya Wacana Christian University
-
Willyam Chrisna Umbu Dagha:
Satya Wacana Christian University
- Stephen Aprius Sutresno: Universitas Katolik Indonesia Atma Jaya
-
Christine Dewi:
Satya Wacana Christian University
Abstract
The development of technology in online transportation services like Gojek has a significant impact on meeting the mobility needs of modern society. The city of Salatiga, with many students from outside the island, has a considerable number of individuals without their own vehicles who prefer to use Gojek services. Therefore, research was conducted to analyze the preferences of students in Salatiga in determining the type of Gojek online transportation using the Naïve Bayes method. One hundred questionnaires from Salatiga students were collected, and the results yielded probability values for Gojek service preferences based on a combination of variables such as weather, load, destination, and time. It is evident from the probability values that weather and time variables play a crucial role in influencing users' decisions between using Go-Ride or switching to Go-Car. These results can provide guidance for Gojek in designing service innovations that are more responsive to user needs based on various specific factors.
Keywords
Preferences; Students; Online Transportation; Gojek; Naïve Bayes
Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
-
Issue: Vol. 8 No. 3 (2024)
-
Section: Computer & Communication Science
-
Published: 2024-07-01
-
License: CC BY 4.0
-
Copyright: © 2024 Authors
-
DOI: 10.35870/jtik.v8i3.2200
AI Research Hub
This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem.
Henoch Juli Christanto, , Universitas Katolik Indonesia Atma Jaya
Program Studi Sistem Informasi, Fakultas Teknik, Universitas Katolik Indonesia Atma Jaya, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta, Indonesia.
Davin Kurnia Hiuredhy, Satya Wacana Christian University
Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana, Kota Salatiga, Provinsi Jawa Tengah, Indonesia.
Willyam Chrisna Umbu Dagha, Satya Wacana Christian University
Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana, Kota Salatiga, Provinsi Jawa Tengah, Indonesia.
Stephen Aprius Sutresno, , Universitas Katolik Indonesia Atma Jaya
Program Studi Sistem Informasi, Fakultas Teknik, Universitas Katolik Indonesia Atma Jaya, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta, Indonesia.
Christine Dewi, Satya Wacana Christian University
Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana, Kota Salatiga, Provinsi Jawa Tengah, Indonesia.
-
Christanto, H. J., Sutresno, S. A., Bata, J. V. M., Sihombing, D. J. C., Prihanto, P. K., & Linestyo, D. V. T. (2024). Pelatihan Penggunaan Sistem Informasi Gereja Berbasis Android Pada Gia Purwodadi Kabupaten Grobogan. RESWARA: Jurnal Pengabdian Kepada Masyarakat, 5(1), 119-127. DOI: https://doi.org/10.46576/rjpkm.v5i1.3707.
-
Silalahi, S. L. B., Handayani, P. W., & Munajat, Q. (2017). Service quality analysis for online transportation services: Case study of GO-JEK. Procedia Computer Science, 124, 487-495. DOI: https://doi.org/10.1016/j.procs.2017.12.181.
-
Christanto, H. J., Sutresno, S. A., Denny, A. N. D. R. E. W., & Dewi, C. H. R. I. S. T. I. N. E. (2023). Usability analysis of human computer interaction in google classroom and microsoft teams. Journal of Theoretical and Applied Information Technology, 101(16), 6425-6425.
-
Christanto, H. J. (2022). Game theory analysis on marketing strategy determination of KAI Access and Traveloka based on usability of HCI (Human-Computer Interaction). Journal of Information Systems and Informatics, 4(3), 665-672. DOI: 10.51519/journalisi.v4i3.300.
-
Nasution, A. A., Erwin, K., & Bartuska, L. (2020). Determinant study of conventional transportation and online transportation. Transportation Research Procedia, 44, 276-282. DOI: https://doi.org/10.1016/j.trpro.2020.02.042.
-
Sefriyadi, I., Andani, I. G. A., Raditya, A., Belgiawan, P. F., & Windasari, N. A. (2023). Private car ownership in Indonesia: affecting factors and policy strategies. Transportation Research Interdisciplinary Perspectives, 19, 100796.
-
Prananda, A. R., & Thalib, I. (2020). Sentiment analysis for customer review: Case study of GO-JEK expansion. Journal of Information Systems Engineering and Business Intelligence, 6(1), 1.
-
Paundra, J., van Dalen, J., Rook, L., & Ketter, W. (2020). Ridesharing platform entry effects on ownership-based consumption in Indonesia. Journal of Cleaner Production, 265, 121535.
-
Subandi, A., Karsaman, R. H., Lubis, H. A. R., & Belgiawan, P. F. (2023). Determining change factors for demand and supply in motorcycle-based ride hailing operations. Transportation Research Interdisciplinary Perspectives, 22, 100981.
-
Rahman, R., & Sutanto, F. A. (2023). Data Mining Untuk Memprediksi Tingkat Kepuasan Konsumen Gojek Menggunakan Algoritma Naive Bayes. Jurnal Interkom: Jurnal Publikasi Ilmiah Bidang Teknologi Informasi dan Komunikasi, 18(1), 8-18.
-
Dari, W., & Hanayah, E. T. (2023). Analisis Tingkat Kepuasan Pengguna Aplikasi Ojek Online Dengan Metode Naive Bayes. INSOLOGI: Jurnal Sains dan Teknologi, 2(1), 221-232. DOI: https://doi.org/10.55123/insologi.v2i1.1693.
-
Sánchez-Franco, M. J., Navarro-García, A., & Rondán-Cataluña, F. J. (2019). A naive Bayes strategy for classifying customer satisfaction: A study based on online reviews of hospitality services. Journal of Business Research, 101, 499-506. DOI: https://doi.org/10.1016/j.jbusres.2018.12.051.
-
Sidi, Y., & Harel, O. (2018). The treatment of incomplete data: reporting, analysis, reproducibility, and replicability. Social Science & Medicine, 209, 169-173. DOI: https://doi.org/10.1016/j.socscimed.2018.05.037.
-
Chen, S., Webb, G. I., Liu, L., & Ma, X. (2020). A novel selective naïve Bayes algorithm. Knowledge-Based Systems, 192, 105361. DOI: https://doi.org/10.1016/j.knosys.2019.10561.
-
Gupte, A., Joshi, S., Gadgul, P., Kadam, A., & Gupte, A. (2014). Comparative study of classification algorithms used in sentiment analysis. International Journal of Computer Science and Information Technologies, 5(5), 6261-6264.
-
Hamzah, A. (1979). Klasifikasi Teks Dengan Naïve Bayes Classifier (NBC) Untuk Pengelompokan Teks Berita dan Abstract Akademis. In Prosiding Seminar Nasional Aplikasi Sains & Teknologi (SNAST) Periode III ISSN (p. 911X).
-
Dewi, C., Chen, R. C., Christanto, H. J., & Cauteruccio, F. (2023). Multinomial Naïve Bayes classifier for sentiment analysis of internet movie database. Vietnam Journal of Computer Science, 10(04), 485-498.
-
Dewi, C., & Chen, R. C. (2022, November). Complement naive bayes classifier for sentiment analysis of internet movie database. In Asian Conference on Intelligent Information and Database Systems (pp. 81-93). Cham: Springer International Publishing.
-
Andrade, C. (2021). The inconvenient truth about convenience and purposive samples. Indian journal of psychological medicine, 43(1), 86-88. DOI: https://doi.org/10.1177/0253717620977000.
-
Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American journal of theoretical and applied statistics, 5(1), 1-4.
-
Cash, P., Isaksson, O., Maier, A., & Summers, J. (2022). Sampling in design research: Eight key considerations. Design studies, 78, 101077.
-
Campbell, S., Greenwood, M., Prior, S., Shearer, T., Walkem, K., Young, S., ... & Walker, K. (2020). Purposive sampling: complex or simple? Research case examples. Journal of research in Nursing, 25(8), 652-661. DOI: https://doi.org/10.1177/1744987120927206.
-
Katiyar, S., & Prasad, D. (2015). A comprehensive survey of data processing approaches. International Journal of Computer Applications, 126(11), 38-45.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.