ANALISA PREDIKSI PENGGUNAAN MOBILE APPLICATION UNTUK STARTUP MONTIRKELILING.COM DENGAN METODE MARKOV CHAIN

  • Tata Sutabri Universitas Bina Darma
  • Aria Dinata Universitas Bina Darma
  • Majduddin Majduddin Universitas Bina Darma
  • Nyimas Hamidah Purnama Agustriani Magister Teknik Informatika Universitas Binadarma Palembang
Keywords: Mobile Application, Markov Chain, Startup

Abstract

The research uses both qualitative and quantitative approaches, as well as interviews and questionnaires as data collection tools. The aim of this study is to determine the number of users of the Montirkeliling.com application and to project the likelihood of changes in the application's usage. In the study of the Analysis of Mobile Application Usage Prediction for the startup Montirkeliling.com, the Markov Chain method is employed. In the context of Montirkeliling.com application usage, the Markov Chain method is used to calculate and predict changes in the number of application users over time based on past usage patterns. This method allows for modeling transitions between different states or conditions, thereby aiding in understanding and probabilistically predicting user behavior. The research provides valuable insights for decision-makers regarding the use of the Montirkeliling.com application. The analysis of the data shows a change in the application's usage, initially relatively high but continuously decreasing, with an increase projected in the following years.

 

 

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Published
2023-11-23
How to Cite
Sutabri, T., Dinata, A., Majduddin, M., & Agustriani, N. H. P. (2023). ANALISA PREDIKSI PENGGUNAAN MOBILE APPLICATION UNTUK STARTUP MONTIRKELILING.COM DENGAN METODE MARKOV CHAIN. Jurnal Ilmiah Matrik, 25(3), 226–235. https://doi.org/10.33557/jurnalmatrik.v25i3.2735
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Articles
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