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All Journal PROSIDING SEMINAR NASIONAL JURNAL EKSAKTA PENDIDIKAN (JEP) JURNAL PENDIDIKAN TAMBUSAI Eksakta : Berkala Ilmiah Bidang MIPA Jurnal Teknologi Pertanian Andalas Imajiner: Jurnal Matematika dan Pendidikan Matematika Pelita Eksakta Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Leibniz: Jurnal Matematika Journal of Mathematics UNP Aceh International Journal of Science and Technology UNP Journal of Statistics and Data Science Journal of Tourism Sciences, Technology and Industry Sultra Journal of Mechanical Engineering
Syafriandi Syafriandi
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering 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 Earth & Planetary Sciences Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Fuzzy C-Means Based Clustering of Central Java’s Regencies and Cities Using Economic Welfare Indicators 2023 Winda Fariza, Winda Fariza; Syafriandi Syafriandi; Fadhira Vitasya Putri; Eujeniatul Jannah
UNP Journal of Statistics and Data Science Vol. 3 No. 4 (2025): 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/vol3-iss4/414

Abstract

This study aims to cluster the regencies and cities in Central Java Province based on economic welfare indicators using the Fuzzy C-Means (FCM) method. The motivation for this research arises from the evident disparities in development outcomes across regions in Indonesia, particularly in Central Java. Several areas in this province continue to experience high poverty rates, low income, and poor human development despite improvements in labor force participation in others. Five key indicators were used: Labor Force Participation Rate (TPAK), Open Unemployment Rate (TPT), Percentage of Poor Population (PPM), Average Net Income (RPB), and Human Development Index (HDI). The data, obtained from Badan Pusat Statistik (2023), were standardized and analyzed using the FCM algorithm with optimal clusters determined via the elbow method. The clustering results show three distinct regional groupings: Cluster 0 includes areas with relatively high HDI and income despite lower labor participation and higher poverty; Cluster 1 comprises urbanized areas with high labor participation but lower HDI; and Cluster 2 represents the most disadvantaged areas with low income, high unemployment, and poor development outcomes. These findings offer a valuable foundation for targeted policy interventions and strategic regional development planning. Fuzzy C-Means proves to be an effective approach for uncovering nuanced regional profiles in socio-economic development.
Penerapan Model Log Linear Tiga Dimensi dalam Analisis Faktor Risiko Riwayat Sakit Maag Wita, Wita Resfi Ananta; Eujenniatul Jannah; Siti Nurhaliza; Yenni Kurniawati; Syafriandi Syafriandi
UNP Journal of Statistics and Data Science Vol. 3 No. 4 (2025): 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/vol3-iss4/433

Abstract

Gastritis, or commonly known as an ulcer, is an inflammatory condition caused by excess stomach acid that irritates the stomach lining. This disease is one of the most common in Indonesia and often disrupts daily activities, especially among students who face academic pressure, stress, and irregular diet. Based on Indonesia’s Health Profile Data, gastritis ranks sixth for inpatients with 330,580 cases, 60.86% of which occur in women, and seventh for outpatients with 201,083 cases, of which 77.74% occur in women. This study aims to examine the relationship between gastritis and demographic factors using a three-dimensional log-linear model. The method analyzes interactions between categorical variables to identify the best explanatory model. Results indicate that the most appropriate model involves the interaction between place of residence, gender, and history of stomach ulcers, showing that these factors collectively influence gastritis incidence. In conclusion, gastritis is not only related to physical health but also lifestyle and demographic factors. This study underlines the importance for students to manage stress, maintain healthy eating habits, and adopt preventive measures. The urgency of this research lies in raising awareness that untreated gastritis may reduce productivity and lead to more serious health problems.
Co-Authors Admi Salma Aldi Prajela Amelia Fadila Rahman Andriani Lubis Anita Fadila Cindy Caterine Yolanda Denia Putri Fajrina Dewi Adiningtiyas, Rheizma Dhafir, Muhammad Dina Fitria Dina Fitria Dina Fitria, Dina Dodi Vionanda Dony Permana Edi Kurniawan Eujeniatul Jannah Eujenniatul Jannah Fadhilah Fitri Fadhira Vitasya Putri Fitri, Fadhilah Fitria Panca Ramadhani Gezi Fajri Habibah, Sarah Husni, Nabila Indah Lestari JA, Sudarma kartika, anice Khathir*, Rita Lifia Zullani Lince Magriasti Martia Rosada Meliani Putri Meria Eliza Muhammad Idkham Mukhti, Tessy Octavia Mutiara Amazona Sosiawati Nikma Hasanah Nonong Amalita Nur Fadillah, Nur Nur Leli Permana, Dony Prettya Recha Putri, Eno Dwi Rachman, Fadlul rios Rizqa Fajriaty Fitri MY Safrizal Safrizal Salma, Admi Siti Nurhaliza Suliswati, Yeni Syifa Nabilah Wandira Tessy Octavia Mukhti Tinton Tonika Velya Rahma Putri Venny Oktarinda Winda Fariza, Winda Fariza Wita, Wita Resfi Ananta Wulan Septya Zulmawati Yarman Yarman, Yarman Yenni Kurniawati Yonggi, Yonggi Septa Pramadia Yulhendri Yulhendri Yunita Yunita Yurivo Rianda Saputra Zamahsary Martha Zilrahmi, Zilrahmi Zulkhairi Sofyan