ANALISIS PERPINDAHAN PENGGUNAAN APLIKASI TRANSPORTASI ONLINE MENGGUNAKAN RANTAI MARKOV

Authors

  • Salmun K. Nasib Program Studi Statistika, Universitas Negeri Gorontalo
  • Nurwan Nurwan Program Studi Matematika, Universitas Negeri Gorontalo
  • I Wayan Can Aryasandi Program Studi Matematika, Universitas Negeri Gorontalo
  • Isran K. Hasan Program Studi Statistika, Universitas Negeri Gorontalo
  • Asriadi Asriadi Program Studi Matematika, Universitas Negeri Gorontalo

DOI:

https://doi.org/10.25077/jmua.13.1.26-40.2024

Keywords:

Matriks Peluang Transisi, Rantai Markov, Steady-State

Abstract

The purpose of this study is to find out the opportunities for switching to the use of online transportation applications and predict the future use of online transportation applications by Gorontalo State University students using the Markov chain. The data used in this study are primary data obtained through questionnaires. The results of the prediction of the proportion for future market share show that the proportion of users of the Maxim transportation application is 82.89%, Grab is 7.75%, Gojek is 5.06% and InDriver is 4.48%.

References

Tumuwe, D., Damis, M., and Mulianti, T., 2018, Pengguna Ojek Online di Kalangan Mahasiswa Universitas Sam Ratulangi Manado, Jurnal Holistik, no. 21 : 1 – 19.

Kurniawati, A. W., 2017, Komunikasi Pemasaran Transportasi Online NGuber-JEK, Jurnal Komunikasi dan Kajian Media, no. 39 : 69 – 85.

Anindhita, W., Arisanty, M. Rahmawati, D., 2016, Analisis Penerapan

Teknologi Komunikasi Tepat Guna pada Bisnis Transportasi Ojek Online (Studi pada Bisnis Gojek dan Grab Bike dalam Penggunaan Teknologi Tepat Guna Untuk Mengembangkan Bisnis Transportasi), in Prosiding Seminar Nasional INDOCOMPAC.

Arpan, Y., dan Dewi, P. C., 2018, Analisis Brand Switching Pengguna Transportasi Online Gojek dengan Metode Markov Chain di Kota Bandar Lampung, Valid : Jurnal Ilmiah, Volume 15(2) :151 – 162.

Mangku, I W., 2022, Proses Stokastik Dasar, Volume 1, IPB Press.

Nurhamiddin, F., Hamim, N., 2021, Analisis Perpindahan Penggunaan Merek Handphone Dikalangan Mahasiswa dengan Rantai Markov (Studi kasus pada Mahasiswa UMMU Ternate Tahun 2017), Jurnal Biosaintek, Volume 3(1) :20–31.

Aliyuwaningsih, N., Sumarjaaya, I W., and Srinadi, I G. A. M., 2018, Analisis Rantai Markov untuk Mengetahui Peluang Perpindahan Merek Simcard dengan Pendekatan Rantai Markov, E-jurnal Matematika, Volume 7(1) :56.

Allo, D. G., Hatidja, D., and Paendong, M., 2013, Analisis Rantai Markov untuk Mengetahui Peluang Perpindahan Merek Kartu Selular Pra Bayar GSM (Studi Kasus Mahasiswa Fakultas Pertanian Unsrat Manado), Jurnal MIPA, Volume 3(1) :17.

Jena, S., Sahoo, R. K. and Sahoo, P., 2022, Markov Chain Model in Measure Brand Swithcing of Bath Soap, International Journal of Creative Research Thoughts (IJCRT), Volume 10(4) :241 – 250.

Neger, M., Bhuiyan, M. Z. H., and Chowdhury, M. H. K., 2021, Markov Analysis for Assessing Costumers’ Brand Swithcing Behavior : Evidience from Telecomunication Sector in Banglades, International Journal of Education and Science, Volume 8(3) :55 – 67.

Nurislamiyati, Y. A., Suwanda, S., Wachidah, L., 20217, Clasification of States of Markov Chain Using Graph Algorithms , Srkipsi, Universitas Islam Bandung

Oktaviani, O., Dwijanto, D.,and Supriono, S., 2018, Optimization of Production Scheduling and Planing of Raw Materials Supply Using Markov Chains (a Case Study of Kinken Cake and Bakrey Kutoarjo), Unnes Journal Mathtematics, Volume 7(2) :165 – 180.

Hillier, F. S., and Lieberman, G. J., 2001, Introduction to Operation Reseach, Seventh Edition, McGraw-Hill, New York, NY.

Arsyad, A., and Megasari, M., 2022, Analisis Pangsa Pasar Produsen Telpon Selular::â€Aplikasi Matriks Markovâ€(Studi Kasus Mahasiswa IAIN Palopo), Eqien-Jurnal Ekonomi dan Bisnis, Volume 11(1) :331 – 341.

Agustin, A., 2017, Presepsi Masyarakt Terhadap Penggunaan Transportasi Online (Go-Jek) di Surabaya, Jurnal Ilmu dan Riset Manajemen, Volume 6(9).

Nasib, S.K., Nurwan, N., Yanuari, E. D. D. and Machmud, T., 2022, Karakteristik Rantai Markov Pada Data Curah Hujan Bulanan Stasiun Djalaludin, JMPM : Jurnal Matematika dan Pendidikan Matematika , Volume 7(2) : 81-89

Downloads

Additional Files

Published

31-01-2024

Issue

Vol. 13 No. 1 (2024)

Section

Articles

License

All articles published in Jurnal Matematika UNAND (JMUA) are open access and licensed under the Creative Commons Attribution-ShareAlike (CC BY-SA) license. This ensures that the content is freely available to all users and can be shared and adapted, provided appropriate credit is given and any adaptations are distributed under the same license.

Copyright Holder

The copyright of all articles published in Jurnal Matematika UNAND is held by the Departemen Matematika dan Sains Data, Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA), Universitas Andalas (UNAND). This applies to all published versions, including the HTML and PDF formats of the articles.

Author Rights

While the Departemen Matematika dan Sains Data FMIPA UNAND holds the copyright for all published content, authors retain important rights under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA). This license grants authors and users the following rights:

  • Reuse: Authors can reuse and distribute their work for any lawful purpose, including sharing on personal websites, institutional repositories, or in subsequent publications.
  • Attribution and Adaptation: Authors and others may remix, adapt, and build upon the published work for any purpose, even commercially, as long as proper credit is given to the original authors, and any derivative works are distributed under the same CC BY-SA license.

Creative Commons License (CC BY-SA)

Under the terms of the CC BY-SA license, users 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, even commercially.

However, the following conditions apply:

  • Attribution: Users must give appropriate credit to the original author(s) and Departemen Matematika dan Sains Data FMIPA UNAND, provide a link to the license, and indicate if changes were made. Attribution must not imply endorsement by the author or the journal.
  • ShareAlike: If users remix, transform, or build upon the material, they must distribute their contributions under the same license as the original.

For more information about the CC BY-SA license, please visit the Creative Commons website.

Third-Party Content

If authors include third-party material (such as figures, tables, or images) that is not covered by a Creative Commons license, they must obtain the necessary permissions for reuse and provide proper attribution. Authors are required to ensure that any third-party content complies with open-access licensing requirements or includes permissions for redistribution under similar terms.

Copyright and Licensing Information Display

The copyright and licensing terms will be clearly displayed on each article's landing page, as well as within the full-text versions (HTML and PDF) of all published articles.

No "All Rights Reserved"

As an open-access journal, JMUA does not use "All Rights Reserved" policies. Instead, the CC BY-SA license ensures that the works remain accessible and reusable for a wide audience while still protecting both the authors' and the copyright holder's rights.

Â