ANALISIS PERPINDAHAN PENGGUNAAN APLIKASI TRANSPORTASI ONLINE MENGGUNAKAN RANTAI MARKOV

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 obtai...

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Main Authors: Salmun K. Nasib, Nurwan Nurwan, I Wayan Can Aryasandi, Isran K. Hasan, Asriadi Asriadi
Format: Article
Language:English
Published: Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Andalas 2024-01-01
Series:Jurnal Matematika UNAND
Subjects:
Online Access:https://jmua.fmipa.unand.ac.id/index.php/jmua/article/view/1145
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author Salmun K. Nasib
Nurwan Nurwan
I Wayan Can Aryasandi
Isran K. Hasan
Asriadi Asriadi
author_facet Salmun K. Nasib
Nurwan Nurwan
I Wayan Can Aryasandi
Isran K. Hasan
Asriadi Asriadi
author_sort Salmun K. Nasib
collection DOAJ
description 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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institution OA Journals
issn 2303-291X
2721-9410
language English
publishDate 2024-01-01
publisher Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Andalas
record_format Article
series Jurnal Matematika UNAND
spelling doaj-art-5e43dcd5549c48d8bdbd21a635570ed32025-08-20T02:12:34ZengDepartment of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas AndalasJurnal Matematika UNAND2303-291X2721-94102024-01-01131264010.25077/jmua.13.1.26-40.2024734ANALISIS PERPINDAHAN PENGGUNAAN APLIKASI TRANSPORTASI ONLINE MENGGUNAKAN RANTAI MARKOVSalmun K. Nasib0Nurwan Nurwan1I Wayan Can Aryasandi2Isran K. Hasan3Asriadi Asriadi4Program Studi Statistika, Universitas Negeri GorontaloProgram Studi Matematika, Universitas Negeri GorontaloProgram Studi Matematika, Universitas Negeri GorontaloProgram Studi Statistika, Universitas Negeri GorontaloProgram Studi Matematika, Universitas Negeri GorontaloThe 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%.https://jmua.fmipa.unand.ac.id/index.php/jmua/article/view/1145matriks peluang transisi, rantai markov, steady-state
spellingShingle Salmun K. Nasib
Nurwan Nurwan
I Wayan Can Aryasandi
Isran K. Hasan
Asriadi Asriadi
ANALISIS PERPINDAHAN PENGGUNAAN APLIKASI TRANSPORTASI ONLINE MENGGUNAKAN RANTAI MARKOV
Jurnal Matematika UNAND
matriks peluang transisi, rantai markov, steady-state
title ANALISIS PERPINDAHAN PENGGUNAAN APLIKASI TRANSPORTASI ONLINE MENGGUNAKAN RANTAI MARKOV
title_full ANALISIS PERPINDAHAN PENGGUNAAN APLIKASI TRANSPORTASI ONLINE MENGGUNAKAN RANTAI MARKOV
title_fullStr ANALISIS PERPINDAHAN PENGGUNAAN APLIKASI TRANSPORTASI ONLINE MENGGUNAKAN RANTAI MARKOV
title_full_unstemmed ANALISIS PERPINDAHAN PENGGUNAAN APLIKASI TRANSPORTASI ONLINE MENGGUNAKAN RANTAI MARKOV
title_short ANALISIS PERPINDAHAN PENGGUNAAN APLIKASI TRANSPORTASI ONLINE MENGGUNAKAN RANTAI MARKOV
title_sort analisis perpindahan penggunaan aplikasi transportasi online menggunakan rantai markov
topic matriks peluang transisi, rantai markov, steady-state
url https://jmua.fmipa.unand.ac.id/index.php/jmua/article/view/1145
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AT nurwannurwan analisisperpindahanpenggunaanaplikasitransportasionlinemenggunakanrantaimarkov
AT iwayancanaryasandi analisisperpindahanpenggunaanaplikasitransportasionlinemenggunakanrantaimarkov
AT isrankhasan analisisperpindahanpenggunaanaplikasitransportasionlinemenggunakanrantaimarkov
AT asriadiasriadi analisisperpindahanpenggunaanaplikasitransportasionlinemenggunakanrantaimarkov