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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 Economics and Digital Business Review 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 Jeinsa : Jurnal Ekonomi Ichsan Sidenreng Rappang 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) Jurnal Akademik Pengabdian Masyarakat Ichsan Sidenreng Rappang
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 Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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PENGELOMPOKAN DATA PELAYANAN KESEHATAN DI KOTA MAKASSAR MENGGUNAKAN WARD’S METHOD Muthahharah, Isma; Juhari, Agusalim
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 4 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (671.213 KB) | DOI: 10.30598/barekengvol14iss4pp627-632

Abstract

In health services, the quality of service places patients as the party who consumes and enjoys health services, including those that most determine the quality of health services. The Makassar city health office noted that the people served in 2018 reached 81.77% compared to 2017 which was only 81.71%. The data released by the health department have not shown specifically which districts had very good, pretty good, and poor health services during the Covid-19 pandemic. Therefore, we need a classification method, namely the ward's method. Health services in this study include hospitals, health centers, home care and telemedicine in 15 sub-district locations. Based on the results of the analysis formed 3 clusters, namely cluster 1 with members of the sub-districts of Biringkanaya, Bontoala, Makassar, Manggala, Tallo, Tamalanrea, and Wajo which have pretty good health services. cluster 2 with sub-district members namely Mamajang, Panakkukang, Rappocini, Ujung Pandang, and Sangkarang Islands which have very good health services, cluster 3 with members of Mariso, Tamalate and Ujung Tanah sub-districts which have poor health services.
Peningkatan Literasi Data Guru melalui Pelatihan Penyajian Data di SMAN 7 Takalar Mar'ah, Zakiyah; Aidid, Muhammad Kasim; Muthahharah, Isma; Syalsabila, Annisa
Jurnal Pengabdian Masyarakat Bhinneka Vol. 4 No. 1 (2025): Bulan September
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v4i1.370

Abstract

Tujuan kegiatan ini adalah untuk memberikan pemahaman dan keterampilan kepada guru SMAN 7 Takalar agar mereka dapat lebih efisien dalam mengelola data hasil belajar siswa, merencanakan pembelajaran, serta membuat laporan dengan menggunakan Microsoft Excel yang sudah tersedia. Microsoft Excel merupakan salah satu perangkat lunak yang sangat penting dalam pengolahan dan penyajian data. Namun, masih banyak siswa SMA dan tenaga kependidikan, yang mengalami kesulitan dalam menggunakan Excel. Sosialisasi dalam kegiatan ini mencakup identifikasi kebutuhan guru, penyuluhan dan diskusi serta penyebaran informasi. Selama pelatihan, para guru diberikan materi secara langsung tentang materi dasar Microsoft Excel, membuat grafik dan diagram serta melakukan simulasi pengolahan data analisis ulangan harian siswa. Kesimpulan kegiatan ini adalah 1) telah memberikan kontribusi yang signifikan dalam peningkatan literasi data melalui pengenalan penyajian data, 2) peserta mampu mengolah dan menyajikan data ujian siswa secara mandiri, 3) penyajian data yang baik sangat penting untuk membantu dalam memahami informasi kompleks serta pada pengambilan keputusan berbasis data.
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.
A Application of Correlation Analysis to the increase in fuel prices on inflation in Indonesia Muthahharah, Isma
Journal of Mathematics: Theory and Applications Vol 7 No 1 (2025): Volume 7, Nomor 1, 2025
Publisher : Program Studi Matematika Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/jomta.v7i1.4720

Abstract

Fuel is one of the products that can be traded from oil and gas natural resources. The increase in fuel prices has caused a decrease in people's purchasing power and also greatly affects demand and supply. The purpose of this study is to observe the effect of changes in the price of fuel oil (BBM), especially the type of Pertamax, on the inflation rate in Indonesia in the period March 2020 to March 2024. Fuel price data is sourced from Pertamina reports, while inflation rate data is obtained from Bank Indonesia reports. The type of research conducted is quantitative research. The results showed that the Spearman correlation analysis between the Inflation and Fuel variables in Indonesia during the period March 2020 to March 2024 showed a strong and statistically significant positive relationship between the two. It is concluded that when the price of Pertamax fuel increases, the inflation rate tends to also increase, and vice versa.
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.
Pelatihan Penulisan Artikel Kegiatan Pengabdian kepada Masyarakat di STIE Widya Praja Tanah Grogot Islamiah, Farida; Asmirani, Sri; Syahrul, Syahrul; Muthahharah, Isma; Hamzah, Qardawi
Jurnal Akademik Pengabdian Masyarakat Ichsan Sidrap Vol 2 No 2 (2025): Hal
Publisher : Universitas Ichsan Sidenreng Rappang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61912/japmis.v2i2.277

Abstract

The main issue of this service is the gap between the intensity of Community Service (PkM) implementation and the low publication output of articles in community service journals at STIE Widya Praja Tanah Grogot. The objective of this PkM is to enhance lecturers' technical competence in converting PkM reports into standardized journal manuscripts. The method employed is Participatory Action Research (PAR) through a participatory intensive workshop and coaching clinic model. The results indicate that the intervention was effective, successfully converting four PkM article drafts ready for submission. Socially, the activity triggered a behavioral shift from passive to proactive. Theoretical reflection confirms that the PAR approach, focusing on the Coaching Clinic, is the most efficient strategy for achieving social and academic institutional transformation in regional private higher education institutions.
SENTIMENT ANALYSIS APPROACH TO USER PERCEPTIONS OF AMMANA SHARIA FINTECH BASED ON MACHINE LEARNING ALGORITHMS Islamiah, Farida; Muthahharah, Isma
Jurnal Ekonomi Ichsan Sidenreng Rappang Vol 4 No 2 (2025): Hal
Publisher : Universitas Ichsan Sidenreng Rappang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61912/jeinsa.v4i2.289

Abstract

Penelitian ini bertujuan untuk menganalisis dan mengklasifikasikan sentimen pengguna terhadap aplikasi fintech syariah Ammana yang diunduh dari Google Play Store. Data penelitian diperoleh melalui proses web scraping terhadap komentar pengguna, kemudian dilakukan pra-pemrosesan teks meliputi case folding, stopword removal, stemming, dan tokenisasi menggunakan pustaka Sastrawi pada bahasa pemrograman Python melalui Google Colab. Penelitian menggunakan pendekatan kuantitatif komparatif dengan membandingkan tiga algoritma machine learning, yaitu Support Vector Classifier (SVC), Multinomial Naive Bayes (MNB), dan Random Forest (RF). Hasil klasifikasi menunjukkan bahwa SVC memiliki performa terbaik dengan nilai akurasi 91,80%, presisi 92,67%, recall 91,80%, dan F1-score 91,99%. Sementara itu, Random Forest menempati posisi kedua dengan akurasi 87,98%, sedangkan Naive Bayes memperoleh nilai terendah dengan akurasi 85,24%. Secara keseluruhan, temuan ini mengindikasikan bahwa algoritma SVC paling efektif dalam mendeteksi sentimen positif, negatif, dan netral pengguna terhadap aplikasi Ammana. Dari perspektif bisnis dan industri financial technology (fintech), hasil ini menunjukkan bahwa analisis sentimen dapat digunakan sebagai alat strategis untuk memantau persepsi publik, meningkatkan pengalaman pengguna (user experience), serta memperkuat kepercayaan terhadap layanan keuangan digital berbasis syariah.
Co-Authors Abdul Rahman Agusalim Juhari Aidid, Muhammad Kasim Alfiah Nurfadhilah AM Hindi Amran Amrullah, Nursinah Andi Syukriani Aslindawati, Nur Asmayani Asmayani Asmirani, Sri BT Samsuddin, Yati Bungatang Bungatang Bungatang Bungatang Hamzah, Qardawi Hapsan, Amran Hardianti Hafid Hariani Harjuna Hariani Harjuna Harjuna, Hariani Inayanti Fatwa Indradewa, Rhian Islamiah, Farida 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 Sapinah Septiary Pratiwi, Kartika Sitti Masyitah Meliyana R. St. Habibah, St. Habibah Sutamrin Syahrul Syahrul Syalsabila, Annisa Syamsinar Yati BT Samsuddin Zakiyah Mar'ah Zakiyah Mar’ah