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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 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 Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Ininnawa: Jurnal Pengabdian Masyarakat ARRUS Jurnal Pengabdian Kepada Masyarakat Abdi Kimia : Jurnal Pengabdian Masyarakat Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat (JHP2M) SMART: Jurnal Pengabdian Kepada Masyarakat Journal of Mathematics, Computation and Statistics (JMATHCOS)
Muthahharah, Isma
Universitas Patompo Makassar
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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The Impact of Malnutrition on Infant Mortality Rate in Indonesia: A Spline Regression Approach Muthahharah, Isma; Hidayat, Rahmat
Journal of Mathematics, Computations and Statistics Vol. 8 No. 2 (2025): Volume 08 Nomor 02 (Oktober 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i2.9351

Abstract

The Infant Mortality Rate (IMR) in Indonesia is still an important index in assessing the quality of public health. One aspect that is thought to influence the high IMR is malnutrition. One of the objectives of this study is to analyze the relationship between malnutrition and IMR through a nonparametric spline regression approach. The data used in this study are secondary data obtained from the Central Statistics Agency in 2022 with the IMR variable as the dependent variable and the percentage of malnutrition as the independent variable. The spline regression model was chosen because it is able to capture the nonlinear relationship between the variables analyzed. Based on the research results that have been obtained, we can see that the best model is spline regression, namely by selecting three knot points, the coefficient of determination (R^2) value is 23,27%. However, this model still has limitations, such as violations of residual assumptions. Therefore, it is hoped that further research will add or select other variables that may be more relevant in order to improve the quality of the model.
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.
Clustering Biplot on Tourist Visits in Indonesia Muthahharah, Isma; Mar'ah, Zakiyah
International Journal of Engineering and Computer Science Applications (IJECSA) Vol. 3 No. 1 (2024): March 2024
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v3i1.3890

Abstract

This research aims to find out whether or not many tourists visited Indonesia after Covid-19 by clustering. This will generate foreign exchange earnings and contribute directly to the country's economic growth. The analytical method used in this research is K-Medoids. K-Medoids is a partition clustering technique that groups a collection of n objects into k clusters by utilizing the objects in the collection of objects to represent a cluster called a medoid. The data in this research used secondary data related to foreign tourist visits to Indonesia from several publication sources in 2017-2021. The results of this research show that there were 3 clusters obtained: Cluster 1 shows the number of tourist visits visiting Indonesia in 2017, 2018 and early 2019 because the Covid-19 pandemic has not yet occurred, Cluster 2 shows that there were no tourist visits in 2020 due to the start of the Covid-19 pandemic, and Cluster 3 indicates low tourist arrivals in 2021 due to the Covid 19 pandemic which temporarily prohibited foreign tourists from visiting Indonesia.
Peningkatan Literasi dan Numerasi Siswa melalui Eksplorasi Belajar Bertualang dengan Abjad dan Angka muthahharah, isma; Pratiwi, Kartika Septiary; Bungatang, Bungatang; Samsuddin, Yati Bt
SMART: Jurnal Pengabdian Kepada Masyarakat Vol 5, No 2 (2025): Oktober
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/smart.v5i2.76329

Abstract

Kegiatan ini bertujuan untuk meningkatkan kemampuan literasi dan numerasi siswa kelas awal di SD Negeri 11 Sarroanging, Kabupaten Bantaeng. Metode pembelajaran yang digunakan berbasis aktivitas interaktif yang dirancang untuk memfasilitasi pengenalan huruf, pengurutan alfabet, serta pemahaman konsep bilangan secara menyenangkan. Kegiatan dilakukan melalui berbagai permainan edukatif yang melibatkan partisipasi aktif siswa sehingga mampu menciptakan suasana belajar yang kondusif dan memotivasi. Data evaluasi menunjukkan adanya peningkatan rata-rata kemampuan literasi sebesar 25% dan numerasi sebesar 30% setelah kegiatan dilaksanakan. Hasil tersebut membuktikan bahwa strategi pembelajaran interaktif yang kreatif dan kontekstual mampu memberikan dampak positif terhadap penguasaan keterampilan dasar siswa sekaligus membangun motivasi belajar yang lebih tinggi.
Comparison of Farmer Exchange Rate Index Forecasting with Decomposition and Single Exponential Smoothing Method Muthahharah, Isma; Hafid, Hardianti
Jurnal Varian Vol. 8 No. 3 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v8i3.5491

Abstract

NTP forecasting is crucial for supporting appropriate policy-making. Therefore, this study aims to address the problem of selecting the most accurate forecasting method for predicting the Farmers’ Terms of Trade Index (FTTI). Specifically, the objective is to compare the accuracy of two time series forecasting methods, namely Decomposition and Single Exponential Smoothing (SES), in forecasting the price index received by food crop farmers for the period 2020 to 2024. Both methods were evaluated using Root Mean Square Error (RMSE) as a measure of forecasting accuracy. The results show that the Decomposition method provides better forecasting accuracy, as indicated by lower RMSE values (RMSE = 1.846) than the SES method, both with α = 0.1 (RMSE = 7.37) and α = 0.6 (RMSE = 3.23). This finding suggests that the Decomposition method is better at capturing seasonal patterns and trends in the FTTI data than the SES method, which tends to produce larger errors. 
Pemberdayaan Masyarakat Pesisir melalui Program Konservasi dan Rehabilitasi Ekosistem Mangrove Muthahharah, Isma; Bungatang, Bungatang; Samsuddin, Yati Bt; Juhari, Agusalim
Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat Vol. 5 No. 1 (2026): Volume 05 Nomor 01 (April 2026)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/eymgp868

Abstract

Kerusakan ekosistem mangrove di wilayah pesisir Desa Lantari Jaya akibat abrasi dan aktivitas manusia memerlukan penanganan yang terintegrasi melalui partisipasi masyarakat. Program pengabdian ini bertujuan untuk memberdayakan warga lokal dalam upaya konservasi dan rehabilitasi lahan kritis melalui pendekatan partisipatif. Metode pelaksanaan yang digunakan meliputi observasi lapangan untuk pemetaan lahan, wawancara terstruktur untuk mengidentifikasi kearifan lokal, serta edukasi teknis mengenai pembibitan dan penanaman mangrove yang berkelanjutan. Hasil kegiatan menunjukkan adanya peningkatan kesadaran lingkungan dan keterampilan teknis warga dalam mengelola pembibitan secara mandiri. Sinergi antara tim akademisi dan masyarakat terbukti efektif dalam memperkuat benteng alami pesisir dan menjamin keberlanjutan ekosistem mangrove sebagai pelindung ruang hidup masyarakat nelayan.
Sosialisasi Sekolah Siaga Bencana (SSB) Sebagai Upaya Meningkatkan Kesiapsiagaan Siswa di SMA Athira Makassar Meliyana, Sitti Masyitah; Muthahharah, Isma; Mar'ah, Zakiyah; Hafid, Hardianti; Juhari, Agusalim
Ininnawa : Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2026): Vol. 4 No. 1 (2026): Volume 04 Nomor 01 (Mei 2026)
Publisher : Program Studi Manajemen FEB UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/1khhs667

Abstract

Indonesia is a disaster-prone country, making early preparedness efforts essential, particularly in the school environment. This community service activity aims to improve students’ knowledge and preparedness through the socialization of the Disaster Preparedness School (Sekolah Siaga Bencana/SSB) program at SMA Athira Makassar. The methods used include interactive lectures, discussions, and evacuation simulations, with evaluation conducted using pre-test and post-test. The results show an increase in the average preparedness score from 58.9 in the pre-test to 83.8 in the post-test, indicating an improvement of 24.9 points. The highest increase was found in the understanding of evacuation procedures. These findings indicate that the SSB socialization program is effective in enhancing students’ knowledge and disaster preparedness. Therefore, this activity contributes to fostering a disaster aware culture in schools and can serve as a model for implementing education-based disaster preparedness programs.
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 Inayanti Fatwa Indradewa, Rhian Khadijah Khadijah Khaidarsyah Khaidarsyah Mar'ah, Zakiyah Mar’ah, Zakiyah Masyitah Meliyana, Sitti Meliyana R, S.Pd, M.Si, Sitti Masyitah Muhammad Isbar Pratama Nur Aslindawati Pratiwi, Kartika Septiary Rahmat Hidayat Resmawan Resmawan Rusdianto Rusdianto Rusdianto Rusdi Rustam, Sitti Nail S. Sugianty Sapinah Septiary Pratiwi, Kartika Sitti Masyitah Meliyana R. St. Habibah, St. Habibah Sutamrin Syalsabila, Annisa Syamsinar Yati BT Samsuddin Zakiyah Mar'ah Zakiyah Mar’ah