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All Journal PROSIDING SEMINAR NASIONAL Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) JURNAL EKSAKTA PENDIDIKAN (JEP) Beta: Jurnal Tadris Matematika JURNAL EDUCATION AND DEVELOPMENT Eksakta : Berkala Ilmiah Bidang MIPA Menara Ilmu Imajiner: Jurnal Matematika dan Pendidikan Matematika Pelita Eksakta ILKOMNIKA: Journal of Computer Science and Applied Informatics Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Leibniz: Jurnal Matematika Journal of Mathematics UNP Rangkiang Mathematics Journal UNP Journal of Statistics and Data Science Indonesian Journal of Statistics and Its Applications
Nonong Amalita
Universitas Negeri Padang
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Other

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Analisis K-Means Clustering pada Sarana dan Perlengkapan Fasilitas KB di Provinsi Sumatera Barat Tahun 2024 Fadilah, Salwa Hifa; Amalita, Nonong; Mutiya, Fenni Kurnia
Imajiner: Jurnal Matematika dan Pendidikan Matematika Vol 8, No 1 (2026): Imajiner: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/imajiner.v8i1.25725

Abstract

The Family Planning Program (KB) is crucial for improving family welfare and controlling population growth. The program's success is largely determined by the availability of evenly distributed family planning facilities and equipment across all regions. This study aims to categorize districts and cities in West Sumatra Province based on the availability of these facilities and equipment to identify areas requiring priority intervention. K-means clustering was used with 10 types of family planning facilities and equipment as the variables. The results showed that two clusters were optimal, with the lowest DBI = 0,7239. The first cluster consisted of ten districts/cities with relatively low facility availability, and the second cluster included nine districts/cities with more adequate facilities.
Analysis of the Open Unemployment Rate on Poverty in Java in 2024 Using Smoothing Spline Regression Leli, Nur; Fadhilah Fitri; Nonong Amalita
UNP Journal of Statistics and Data Science Vol. 4 No. 1 (2026): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol4-iss1/464

Abstract

Poverty and unemployment are two major issues in economic development that are interrelated and remain a serious concern in Indonesia. Java Island, as the center of economic activity and population in Indonesia, contributes relatively significantly to the national economy, but still faces issues of welfare inequality, including high unemployment rates in several regions and the persistence of people living below the poverty line. Therefore, analyzing the relationship between the Open Unemployment Rate and the Percentage of the Poor in Java Island is important to understand the socio-economic dynamics that occur. The analysis was carried out using the nonparametric regression method with a smoothing spline estimator. Based on the analysis results, an optimum model was obtained with a value of lambda of 0.04829734. The smoothing spline curve shows a negative relationship pattern, where an increase in the Open Unemployment Rate is followed by a decrease in the percentage of the poor. The Mean Square Error (MSE) value of 11.31277 indicates that the model has a relatively moderate level of prediction error and is able to represent the relationship pattern between variables quite well.
Comparison of K-Means and DBSCAN Algorithms in Regional Segmentation in Indonesia Based on Mortality and Fertility Indicators Nafandra, Bunga; Sulistiowati, Dwi; Amalita, Nonong
Jurnal MSA (Matematika dan Statistika serta Aplikasinya) Vol 14 No 1 (2026): VOLUME 14 No 1, 2026
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/msa.v14i1.61961

Abstract

Mortality and fertility indicators can be interpreted through maternal mortality rates, infant mortality rates, under-five mortality rates, child mortality rates, and crude birth rates. Disparities in mortality and fertility between regions indicate differences in health quality. In Indonesia, the maternal mortality rate has declined over the past decade, from 346 to 189 per 100000 live births, but this figure has not yet reached the global target set by the SDGs of 70 per 100000 live births. To reduce these mortality indicators, it is necessary to identify regions with low health quality so that interventions can be more targeted and focused. Therefore, this study aims to form regional segmentation based on mortality and fertility indicators by comparing two clustering algorithms, namely K-Means and DBSCAN. The data used is secondary data from the Indonesian Central Statistics Agency, taken from the 2020 Population Census. The results of the study found that the K-Means algorithm is better than DBSCAN based on the Silhouette Score, Davies-Bouldin Index, and Calinski-Harabasz Index evaluation matrices, with values of 0.485, 0.804, and 36.34, respectively. This algorithm formed two clusters, with western Indonesia tending to have better health quality than eastern Indonesia. Based on the results of this study, it is hoped that the government can provide focused interventions in eastern Indonesia to improve maternal and child health quality and reduce mortality rates.
Perbandingan Regresi Linear dan Penalized Spline dalam Analisis Indikator Pendidikan di Indonesia Tahun 2024 Sarmilah, Sarmilah; Amalita, Nonong
Imajiner: Jurnal Matematika dan Pendidikan Matematika Vol 8, No 2 (2026): Imajiner: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/imajiner.v8i2.26962

Abstract

Penelitian ini bertujuan mengevaluasi kecukupan asumsi linearitas dalam memodelkan hubungan antara indikator sosial ekonomi dan rata-rata lama sekolah (RLS) kabupaten/kota di Indonesia tahun 2024. Secara khusus, penelitian ini memodelkan pengaruh kemiskinan, angka harapan hidup, dan pengeluaran per kapita terhadap RLS menggunakan regresi linear, menerapkan pendekatan penalized spline dalam kerangka Generalized Additive Model (GAM), serta membandingkan kinerja kedua pendekatan berdasarkan kriteria evaluasi statistik. Data yang digunakan mencakup 514 kabupaten/kota di Indonesia. Hasil analisis menunjukkan bahwa regresi linear mampu mengidentifikasi pengaruh signifikan kemiskinan dan pengeluaran per kapita terhadap RLS, namun asumsi linearitas belum sepenuhnya memadai dalam merepresentasikan struktur hubungan antarvariabel. Pendekatan penalized spline menghasilkan model dengan kemampuan penjelasan variasi yang lebih tinggi dan nilai AIC yang lebih rendah dibanding regresi linear. Efek parsial menunjukkan adanya pola nonlinear, termasuk kecenderungan penurunan RLS yang semakin tajam pada tingkat kemiskinan tinggi serta pola diminishing return pada pengeluaran per kapita. Temuan ini menunjukkan bahwa pendekatan semiparametrik lebih representatif dalam analisis indikator pendidikan regional yang bersifat heterogen.
Regresi Panel dan Pemetaan Local Indicator of Spatial Association dalam Analisis Kemiskinan di Provinsi Bengkulu Nafandra, Bunga; Amalita, Nonong
Imajiner: Jurnal Matematika dan Pendidikan Matematika Vol 8, No 2 (2026): Imajiner: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/imajiner.v8i2.26899

Abstract

Kemiskinan tetap menjadi masalah sosial yang menghambat pencapaian kesejahteraan masyarakat. Di Provinsi Bengkulu, persentase penduduk miskin pada periode 2019–2024 lebih tinggi dari rata-rata nasional. Oleh karena itu, penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi tingkat kemiskinan dan mengidentifikasi daerah berisiko tinggi di Provinsi Bengkulu melalui pendekatan regresi data panel dan pemetaan Indikator Lokal Asosiasi Spasial (LISA). Hasil penelitian menunjukkan bahwa peningkatan partisipasi angkatan kerja, pertumbuhan produk domestik bruto regional, dan peningkatan indeks pembangunan manusia berkontribusi pada penurunan persentase penduduk miskin di Provinsi Bengkulu. Sementara itu, hasil analisis spasial lokal dengan LISA mengidentifikasi Kabupaten Bengkulu Selatan sebagai klaster tinggi-tinggi atau hotspot, yaitu daerah dengan tingkat kemiskinan tinggi yang dikelilingi oleh daerah dengan kondisi serupa. Berdasarkan temuan ini, diharapkan semua pemangku kepentingan, baik masyarakat maupun pemerintah, dapat berperan dalam meningkatkan kualitas dan kuantitas angkatan kerja, mendorong pertumbuhan ekonomi, dan memperkuat aspek pendidikan dan kesehatan yang mendukung peningkatan HDI. Selain itu, pemerintah perlu memberikan perhatian khusus dan intervensi pada Kabupaten Bengkulu Selatan sebagai daerah hotspot.
Using Statistical Software in Analyzing Educational Data: A Community Service to Mathematics Teacher’s in 50 Kota Regency Amalita, Nonong; Kurniawati, Yenni; Fitria, Dina
Pelita Eksakta Vol 1 No 2 (2018): Pelita Eksakta Vol. 1 No. 2
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol1-iss02/34

Abstract

Analyzing data using statistical software is an interesting work. Many teachers in 50 Kota regency lack of it. Given a workshop on data analysis using statistical software. There is increasing ability of teachers in analyzing data using simple statistical software. They are able to organize their data on education, i.e result of exam
Co-Authors Addini, Vidhiya Ade Eriyen Saputri Adinda Dwi Putri Admi Salma Aldwi Riandhoko Ali Asmar Amanda, Abilya Amelia Fadila Rahman Andini Yulianti Anggi Adrian Danis Anjelisni, Nining april leniati Arnellis Arnellis Atika Ahmad Atus Amadi Putra Azwar Ananda Chairina Wirdiastuti Cindy Febrianita Denia Putri Fajrina Dewi Febiyanti Dewi Murni Dina Fitria Dina Fitria Dina Fitria, Dina Dodi Vionanda Dony Permana Dwi Sulistiowati Dwi Sulistiowati, Dwi Edwin Musdi Elita Zusti Jamaan Elsa Oktaviani Fadhilah Fitri Fadilah, Salwa Hifa Fajrin Putra Hanifi fajriyanti nur, Putri Fatma Yulia Sari Faulina FAZHIRA ANISHA Fikra, Hidayatul Fitri, Fadhilah Gezi Fajri Ghaly, Fayyadh Hamida, Zilfa Hana Rahma Trifanni haniyathul husna Hasna, Hanifa Helma Helma Helma Helma Herlena Purnama Sari Huriati Khaira Ichlas Djuazva Inna Auliya Jihe Chen Juwita Juwita Khairani, Putri Rahmatun Leli, Nur Lilis Sulistiawati Media Rosha Media Rosha Meira Parma Dewi Melly Kurniawati Miftahurrahmi, Syifa Minora Longgom Mohammad Reza febrino Mudjiran Mudjiran Muhammad Tibri Syofyan Mukhti, Tessy Octavia Mutiya, Fenni Kurnia nabillah putri Nadha Ovella Syaqhasdy Nafandra, Bunga Natasya Dwi Ovalingga, natasyalinggaa Nini Erdiani Nur Fadillah, Nur Nurhizrah Gistituati Okia Dinda Kelana Oktaviani, Bernadita Permana, Dony Prida Nova Sari Puti Utari Maharani Rahma, Dzakyyah Resti Febrina Retsya Lapiza Rizki Amalia, Annisa Rizqia Salsabila Rusdinal Rusdinal Saddam Al Aziz Safitri, Melda Salma, Admi Sarmilah, Sarmilah Seif Adil El-Muslih Shavira Asysyifa S Sondriva, Wilia Sujantri Wahyuni Suparman Suparman Swithania Rizka Putri Syafriandi Syafriandi Syafriandi Syafriandi Syafriandi Syahfitrri, Nindi Tamur, Maximus Tessy Octavia Mukhti Tri Wahyuni Nurmulyati Venny Oktarinda Viola Yuniza Wella Saputri Wulan Septya Zulmawati Yarman Yarman, Yarman Yenni Kurniawati Yulia Pertiwi Zamahsary Martha Zilla Zalila Zilrahmi, Zilrahmi