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%.

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Published

31-01-2024

How to Cite

K. Nasib, S., Nurwan, N., Aryasandi, I. W. C., K. Hasan, I., & Asriadi, A. (2024). ANALISIS PERPINDAHAN PENGGUNAAN APLIKASI TRANSPORTASI ONLINE MENGGUNAKAN RANTAI MARKOV. Jurnal Matematika UNAND, 13(1), 26–40. https://doi.org/10.25077/jmua.13.1.26-40.2024

Issue

Vol. 13 No. 1 (2024)

Section

Articles

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