Article Per Year (5 Year)
p-Index From 2021 - 2026
1.407
P-Index
This Author published in this journals
All Journal Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) JTAM (Jurnal Teori dan Aplikasi Matematika) EIGEN MATHEMATICS JOURNAL Jurnal Pengabdian Kepada Masyarakat (Mediteg) Enthusiastic : International Journal of Applied Statistics and Data Science Journal of Mathematics: Theory and Applications Journal of Data Science Theory and Application
Hayati MT, Ma’rufah
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Mathematics Medicine & Pharmacology Social Sciences

Published : 10 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : EIGEN MATHEMATICS JOURNAL

 1 
Prediksi Curah Hujan di Provinsi Lampung Menggunakan Distribusi Tweedie Campuran dengan Reduksi PCA Utami, Sari; Hayati, Ma’rufah; Permatasari, Reni
Eigen Mathematics Journal Vol 8 No 2 (2025): December
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v8i2.280

Abstract

Accurate rainfall prediction is crucial for supporting the agricultural sector in Lampung Province. This research employs the Exponential Dispersion Model (EDM), a special case of the Generalized Linear Model (GLM), incorporating a Tweedie mixture distribution with Principal Component Analysis (PCA) to reduce correlated variables. Rainfall data were obtained from the Meteorology, Climatology, and Geophysics Agency (BMKG) through twelve rain observation posts (2013-2022), and supplemented with precipitation data from the General Circulation Model (GCM) obtained from the European Centre for Medium-Range Weather Forecasts (ECMWF). The Tweedie mixture distribution was selected for its ability to handle non-normally distributed rainfall data containing zero values. The results show that the Root Mean Square Error of Prediction (RMSEP) for the Tweedie mixture-PCA model at the Gisting Atas station is 163.90, while the Normal-PCA model achieved 169.11. Therefore, the Tweedie mixture-PCA approach is more effective and recommended for improving rainfall prediction in Lampung Province, offering potential benefits for agricultural planning and resource management.
Co-Authors Anggi Desnanti Febby Yuliana Sari Hudori, Mahfuz Irfan, Miftahul Madonna, Nora Mahfuz Hudori Muslim, Agus Permatasari, Reni Rahmawati Azizah Reni Permata Sari Sari, Reni Permata Simanjuntak, Erica Grace Tri Fatmala, Cici Utami, Sari Wardhani Utami Dewi Yuliana Dalimunthe, Desy