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All Journal Publikasi Pendidikan Jurnal Daya Matematis Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) BAREKENG: Jurnal Ilmu Matematika dan Terapan MATAPPA: Jurnal Pengabdian Kepada Masyarakat EIGEN MATHEMATICS JOURNAL Jurnal Varian Inferensi Mattawang: Jurnal Pengabdian Masyarakat Quantitative Economics and Management Studies Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Panrannuangku Jurnal Pengabdian Masyarakat ARRUS Journal of Mathematics and Applied Science Abdimas Langkanae Journal of Mathematics: Theory and Applications Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Bhinneka Ininnawa: Jurnal Pengabdian Masyarakat ARRUS Jurnal Pengabdian Kepada Masyarakat Abdi Kimia : Jurnal Pengabdian Masyarakat Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat (JHP2M) Journal of Mathematics, Computation and Statistics (JMATHCOS)
Muthahharah, Isma
Universitas Patompo Makassar
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Journal : Journal of Mathematics: Theory and Applications

 1 
Penerapan Analisis Data Panel Pada Suhu Udara Terhadap Perubahan Iklim Curah Hujan di Kota Padang Muthahharah, Isma; Hafid, Hardianti
Journal of Mathematics: Theory and Applications Vol 6 No 2 (2024)
Publisher : Program Studi Matematika Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/jomta.v6i2.4064

Abstract

Climate is the average weather conditions that prevail over an extended period in a particular region. The complex climate system, comprising components such as the atmosphere, lithosphere, and biosphere, generates climate variations among different areas. Climate change has potential impacts such as changes in rainfall patterns, rising temperatures, and sea level rise. Extreme weather, prolonged droughts, and heatwaves can endanger both the environment and human beings.This article aims to assist in predicting future climate patterns to prepare for their impacts using panel data analysis. A panel data regression model is employed to assess the influence of rainfall and air temperature on climate change in Kota Padang from 2018 to 2022. The analysis reveals a significant influence of air temperature, estimated at 0.08, on climate change in Kota Padang during this period. These findings provide a basis for developing mitigation and adaptation strategies to address climate challenges in the region and offer valuable insights for government policies in facing future climate-related issues.
Classification of Regencies/Cities in South Sulawesi Province Based on Business Sectors Using Discriminant Analysis Muthahharah, Isma
Journal of Mathematics: Theory and Applications Vol 7 No 2 (2025): Volume 7, Nomor 2, 2025
Publisher : Program Studi Matematika Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/jomta.v7i2.5359

Abstract

The purpose of this study is to use the Linear Discriminant Analysis (LDA) method to categorize districts and cities in South Sulawesi Province according to their main economic sectors. The Central Statistics Agency (BPS) of South Sulawesi provided data for the period 2019–2023. The dependent variable was classified according to GDP (GRDP) quartiles within economic sectors, while the independent variables were the Labor Force Participation Rate (LBFR), the Number of Business Units (NBE), and the Open Unemployment Rate (OUR). The findings indicate that the most important factors in group differentiation are TPA and TPT. The classification accuracy was only 37.5%, although the model met important assumptions such as normality, homogeneity of covariance, and the absence of multicollinearity. This suggests that the model should be further improved by adding more in-depth predictors or using more differentiated categorization techniques.
Clustering of Disaster Risk in Indonesian Regions Using Self-Organizing Maps and K-Means Hardianti Hafid; Isma Muthahharah
Journal of Mathematics: Theory and Applications Vol 7 No 2 (2025): Volume 7, Nomor 2, 2025
Publisher : Program Studi Matematika Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/jomta.v7i2.5365

Abstract

Indonesia is one of the countries with a high level of vulnerability to natural disasters, making accurate risk mapping essential to support mitigation planning. This study aims to cluster the provinces of Indonesia based on disaster occurrence characteristics using a hybrid approach of Self-Organizing Maps (SOM) and K-Means. The data were obtained from the Indonesian National Disaster Management Agency (BNPB), covering the frequency and types of disasters such as floods, extreme weather, eruptions, abrasion, earthquakes, forest/land fires, droughts, and landslides. The SOM representation results were clustered using K-Means, with the optimal number of clusters determined through the evaluation of the Davies–Bouldin index, Silhouette coefficient, and connectivity measure. The analysis revealed that two clusters provided the best separation: Cluster 1 includes most provinces with medium to low multi-hazard risk, while Cluster 2 consists of West Java, Central Java, and East Java, which have high hydrometeorological risk. This hybrid SOM and K-Means approach successfully identifies the spatial patterns of disaster risk and can serve as a reference for the government in formulating region-based mitigation strategies.
Co-Authors Abdul Rahman Agusalim Juhari Aidid, Muhammad Kasim Alfiah Nurfadhilah AM Hindi Amran Amrullah, Nursinah Andi Syukriani Aslindawati, Nur Asmayani Asmayani BT Samsuddin, Yati Bungatang Bungatang Bungatang Bungatang Hapsan, Amran Hardianti Hafid Hariani Harjuna Hariani Harjuna Harjuna, Hariani Husain, Ahmad Inayanti Fatwa Islamiah, Farida Khaidarsyah Khaidarsyah Mar'ah, Zakiyah Mar’ah, Zakiyah Masyitah Meliyana, Sitti Meliyana R, S.Pd, M.Si, Sitti Masyitah Muhammad Isbar Pratama Nur Aslindawati Rahmat Hidayat Resmawan Resmawan Rusdianto Rusdianto Rusdianto Rusdi Rustam, Sitti Nail S. Sugianty Sapinah Sapinah Septiary Pratiwi, Kartika Sitti Masyitah Meliyana R. St. Habibah, St. Habibah Sutamrin, Sutamrin Syalsabila, Annisa Syamsinar Zakiyah Mar'ah Zakiyah Mar’ah