Open access Journal
Dinamika dan Probabilitas Transisi Curah Hujan Harian di MKG Itera Menggunakan Model Rantai Markov
Indonesian Journal of Applied Mathematics · Vol. 6 No. 1 (2026) · pp. 49–57
- ISSN
- 2774-2016, 2774-2067
- Published
- 2026-04-30
- Publisher
- Institut Teknologi Sumatra
Abstract
This study aims to analyze the characteristics of daily rainfall in the Meteorology, Climatology, and Geophysics (MKG) Itera region during the period from January to October 2025 using a Markov Chain model. Daily rainfall data are classified into four states based on rainfall intensity, namely No Rain, Light Rain, Moderate Rain, and Heavy Rain. The analysis begins with descriptive statistics to identify general characteristics of the data. The average daily rainfall is 6.50 mm/day, with the highest recorded intensity reaching 82.8 mm on February 21, 2025, and a rainfall variance of 195.68 mm². Subsequently, a transition probability matrix is constructed to model the dynamics of rainfall condition changes between states from day to day. In addition, the steady-state probabilities are calculated to determine the long-term tendencies of rainfall conditions. The results indicate that daily rainfall exhibits a fluctuating pattern with relatively high variability. Most observations fall into the No Rain (48%) and Light Rain (40%) states, indicating that more than 88% of rainfall conditions are of low intensity. The transition probability matrix shows that the highest transition probability occurs from Moderate Rain to Light Rain at 66.7%, suggesting that moderate rainfall tends to decrease to light rainfall on the following day. Furthermore, the probabilities of remaining in the No Rain and Light Rain states are relatively high, at 61.1% and 46.7%, respectively, indicating persistence in dry or low-intensity rainfall conditions. The steady-state distribution shows that, in the long run, the probabilities are 47.6% for No Rain, 40.4% for Light Rain, 8.9% for Moderate Rain, and 3.0% for Heavy Rain. These findings suggest that rainfall patterns in the MKG Itera region are predominantly characterized by dry to low-intensity conditions. Overall, the Markov Chain model is capable of effectively representing the dynamics of daily rainfall and provides a comprehensive description of long-term rainfall characteristics in the MKG Itera region.
Collaboration network of the authors
40 authors · 91 co-authorship links · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- State University of Semarang
- Bandung Institute of Technology
- Universitas Halu Oleo
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Danni Gathot Harbowo | Affiliation unknown | 2 |
| Sri Sulistyorini | State University of Semarang | 2 |
| Intan Tamara Azka Zanuba | Affiliation unknown | 1 |
| Zinni Fitriasih | Affiliation unknown | 1 |
| Lestari Citra Alini | Affiliation unknown | 1 |
| Dewi Suhika | Bandung Institute of Technology | 1 |
| Sri Efrinita Irwan | Affiliation unknown | 1 |
| Edi Cahyono | Universitas Halu Oleo | 1 |
| . Kartono | Affiliation unknown | 1 |
| Fuji Lestari | Affiliation unknown | 1 |
| Mika Alvionita S | Affiliation unknown | 1 |
| Ardika Satria | Affiliation unknown | 1 |
| Nabila Nurita Putri | Affiliation unknown | 1 |
| Muhammad Ammar Alkautsar | Affiliation unknown | 1 |
| Sekar Anisa Sely | Affiliation unknown | 1 |
| Della Najunda K.S | Affiliation unknown | 1 |
| Rofi Ilmi Fadhillah | Affiliation unknown | 1 |
| Alfredo Edward Lazuardi | Affiliation unknown | 1 |
| Andre Markus Fernando Lubis | Affiliation unknown | 1 |
| Juan Daniel Turnip | Affiliation unknown | 1 |
| Erina Rosalia Irda | Affiliation unknown | 1 |
| Adelia Azahra | Affiliation unknown | 1 |
| Yanti Marito | Affiliation unknown | 1 |
| Meysi Supmawati | Affiliation unknown | 1 |
| Eli Rahmawati | Affiliation unknown | 1 |
| Naila Tsamrotul Aula | Affiliation unknown | 1 |
| Barokah Isdaryanti | State University of Semarang | 1 |
| Farid Ahmadi | Affiliation unknown | 1 |
| ANGGI CINTYA LESTARI | Affiliation unknown | 1 |
| Aldina Eka Andriani | Affiliation unknown | 1 |
| Dewi Nilam Tyas | Affiliation unknown | 1 |
| Sri Hartati | Affiliation unknown | 1 |
| Isti Nur Hayanah | Affiliation unknown | 1 |
| Wahana Adinindya Nugrahaeni | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.