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All Journal Jurnal Pendidikan Geografi Undiksha Media Komunikasi Geografi Jurnal Ilmu Sosial dan Humaniora Jurnal Kesehatan Masyarakat Majalah Geografi Indonesia Jurnal Antropologi: Isu-Isu Sosial budaya Jurnal Populasi Demography Journal of Sriwijaya Jurnal Geografi Jurnal Kebijakan Perikanan Indonesia Patrawidya: Seri Penerbitan Penelitian Sejarah dan Budaya Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Jurnal Perencanaan Pembangunan Jurnal Kependudukan Indonesia GEOGRAPHIA: Jurnal Pendidikan dan Penelitian Geografi Jurnal Multidisiplin Madani (MUDIMA) Asian Journal of Social and Humanities Advance Sustainable Science, Engineering and Technology (ASSET) Jurnal Ekonomi, Manajemen, Akuntansi
Umi Listyaningsih
Departemen Geografi Lingkungan, Fakultas Geografi, Universitas Gadjah Mada
Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Moderate Replacement Fertility: Tranquility Dimension Variables of Yogyakarta Special Region, Indonesia in 2023 Aryati, Seri; Sukamdi, Sukamdi; Listyaningsih, Umi
JURNAL GEOGRAFI Vol. 17 No. 2 (2025): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v17i2.64617

Abstract

This study examines life tranquility in the context of moderate replacement fertility levels in the Special Region of Yogyakarta (DIY) in 2023. The region's diverse social, cultural, and economic characteristics significantly influence fertility trends and family dynamics. Areas like Sleman and Bantul display higher family proportions, reflecting stable fertility levels, while Yogyakarta City faces challenges in maintaining population growth due to lower fertility rates, influenced by urbanization and economic pressures. This urban-rural divide underscores the complex relationship between fertility patterns and socio-economic factors. Despite increasing birth rates in some areas, challenges persist in understanding fertility behaviors, particularly in relation to access to education, healthcare, and family policies. These factors can either support or hinder efforts to achieve sustainable population growth and well-being. This study explores the connections between moderate fertility rates, life tranquility, and socio-economic influences in DIY. It also examines how education, healthcare access, and family planning policies impact family well-being and fertility decisions. The research aims to provide policy solutions to enhance the quality of life for families across the region. By understanding the socio-economic determinants of fertility trends, this study offers insights into urban-rural differences and informs policy design to address fertility changes and promote stable family dynamics.
The Role of Self-Leadership in Public Health: Controversies in Stunting Prevention Efforts by Village Development Non-Commissioned Officers (Babinsa) Muryanto; Ratminto, Ratminto; Ikhwan, Hakimul; Listyaningsih, Umi
Asian Journal of Social and Humanities Vol. 4 No. 4 (2026): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v4i4.663

Abstract

Stunting is a significant health problem in Indonesia, particularly in rural areas. This study emphasizes the self-leadership of Babinsa (village supervisory non-commissioned officers)—as street-level actors—in stunting prevention in Indonesia. It aims to explore the role of village development non-commissioned officers (NCOs) of the Indonesian National Armed Forces (TNI), known as Babinsa, in stunting prevention efforts by examining how a self-leadership model can enhance their effectiveness in addressing this public health challenge. This study used a qualitative approach with a case study design, focusing on Babinsa in Magelang Regency, Central Java. Data were collected through in-depth interviews with key informants, including Babinsa, Posyandu cadres, village midwives, village officials, and families of stunting sufferers. Thematic analysis was used to identify key themes and insights from the data. The findings revealed that Babinsa (village-based non-commissioned officers) who applied self-leadership principles demonstrated increased adaptability in implementing stunting prevention strategies tailored to community needs. However, challenges such as bureaucratic constraints and limited resources impacted the effectiveness of these efforts. Collaboration between Babinsa, health workers, and community members proved crucial for successful interventions, highlighting the importance of cultural sensitivity and community engagement. The study concluded that implementing a self-leadership model by Babinsa could significantly improve their effectiveness in stunting prevention. Insights from this study can inform policymakers and practitioners in designing better training programs and support systems to reduce the prevalence of stunting in Indonesia.
Mengungkap Distribusi dan Pola Spasial Diabetes Melitus di Kabupaten Sleman Alfana, Muhammad Arif Fahrudin; Pitoyo, Agus Joko; Listyaningsih, Umi
Majalah Geografi Indonesia Vol 40, No 1 (2026): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/mgi.114166

Abstract

Abstrak. Diabetes melitus merupakan salah satu penyakit tidak menular yang prevalensinya terus meningkat, termasuk di Kabupaten Sleman, sehingga diperlukan bukti ilmiah mengenai bagaimana penyakit ini terdistribusi secara spasial dalam kaitannya dengan struktur ruang dan dinamika kependudukan wilayah. Pemahaman terhadap distribusi dan pola spasial diabetes melitus menjadi penting karena penyakit kronis sering kali tidak tersebar secara acak, melainkan dipengaruhi oleh faktor lingkungan, demografi, serta karakteristik sosial yang melekat pada ruang. Penelitian ini bertujuan mengidentifikasi distribusi dan pola spasial kasus diabetes melitus di Kabupaten Sleman pada tahun 2019 dan 2021 dengan menerapkan analisis kuantitatif spasial. Data kasus diperoleh dari Dinas Kesehatan Kabupaten Sleman dan dianalisis menggunakan Global Moran’s I untuk mengetahui autokorelasi spasial secara keseluruhan serta Local Indicators of Spatial Association (LISA) untuk mengidentifikasi klaster lokal pada tingkat kapanewon. Hasil penelitian menunjukkan bahwa nilai Global Moran’s I pada kedua tahun pengamatan berada pada kisaran yang relatif rendah, menandakan lemahnya autokorelasi spasial secara global. Meskipun demikian, analisis LISA berhasil mengungkap adanya klaster signifikan bertipe High–High, terutama di wilayah urban seperti Kapanewon Mlati dan Depok, yang menunjukkan konsentrasi kasus tinggi yang dikelilingi oleh wilayah dengan kasus tinggi pula. Temuan ini menegaskan bahwa meskipun pola global tampak lemah, pola spasial lokal tetap terbentuk dan memberikan informasi penting bagi penentuan prioritas intervensi. Analisis spasial lokal terbukti lebih sensitif dalam menangkap dinamika wilayah dan variasi risiko kesehatan berbasis ruang, sehingga relevan mendukung perencanaan kesehatan daerah yang lebih terarah. Ke depan, penelitian dapat dikembangkan dengan memasukkan variabel sosial-ekonomi-lingkungan untuk memperdalam pemahaman terhadap mekanisme pembentukan klaster diabetes melitus.Abstract. Diabetes mellitus is a major non-communicable disease with a continuously increasing prevalence, including in Sleman Regency, thus requiring scientific evidence on its spatial distribution in relation to regional spatial structure and population dynamics. Understanding the spatial distribution and patterns of diabetes mellitus is essential, as chronic diseases are rarely randomly distributed but are influenced by environmental, demographic, and social characteristics embedded in space. This study aims to identify the spatial distribution and spatial patterns of diabetes mellitus cases in Sleman Regency in 2019 and 2021 using quantitative spatial analysis. Case data were obtained from the Sleman District Health Office and analyzed using Global Moran’s I to assess overall spatial autocorrelation and Local Indicators of Spatial Association (LISA) to identify local clusters at the kapanewon level. The results indicate that Global Moran’s I values in both observation years were relatively low, suggesting weak global spatial autocorrelation. Nevertheless, LISA analysis revealed significant High–High clusters, particularly in urban areas such as Mlati and Depok, indicating concentrations of high case numbers surrounded by neighboring areas with similarly high values. These findings confirm that although global spatial patterns appear weak, local spatial patterns remain evident and provide important insights for prioritizing health interventions. Local spatial analysis proves more sensitive in capturing regional dynamics and space-based variations in health risk, thereby supporting more targeted local health planning. Future research may incorporate socio-economic and environmental variables to further elucidate the mechanisms underlying diabetes mellitus clustering.Submitted: 2025-12-11 Revisions:  2026-01-21 Accepted: 2026-02-01 Published: 2024-02-06
Kernel Density and Spatial Modeling of Informal Settlement Concentration: Methodology and Findings from Palembang, Indonesia Sukmaniar; Listyaningsih, Umi; Muhidin, Salut
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): November - January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i1.2980

Abstract

Rapid urbanization has intensified the growth of slum settlements in Indonesian cities, including Palembang, where informal housing commonly develops along riverbanks. This study aimed to identify and evaluate the spatial distribution and density of slum areas in Palembang City through a Geographic Information System (GIS)–based approach combining Kernel Density Estimation (KDE) and Receiver Operating Characteristic–Area Under Curve (ROC–AUC) analysis. Primary spatial data were obtained from 382 household survey points representing 64 slum polygons across 13 sub-districts, supplemented by administrative boundary and land-use data from the Palembang City Government. Spatial analysis and validation were conducted using ArcGIS 10.3 software. The KDE results showed density values ranging from 0 to 58.1123 units per 100 m², with the highest concentrations found along the Musi River corridor, decreasing outward from the riverbanks. Model validation achieved an AUC value of 0.968 (96.8%), demonstrating excellent predictive accuracy. These spatial outcomes provide actionable guidance for policymakers by identifying priority zones for sanitation and drainage upgrades, flood-resilient housing design, and targeted relocation planning. The study highlights the practical role of GIS-based quantitative modelling in supporting evidence-based slum management and urban infrastructure planning in Indonesia. 
Co-Authors Agus Heruanto Hadna Agus Heruanto Hadna Agus Heruanto Hadna Agus Joko Pitoyo Ahmad Maryudi Ahmad Maryudi Alfana, Muhammad Arif Fahrudin Alfana, Muhammad Arif Fahrudin Alia Fajarwati Amiza Husna Anggun Pria Wibowo Anita Syafitri Aprilia Riszi Indah Dewi Shara Arief Cahyo Widodo Aryati, Seri Azmi, Asraar Kamal Dwi Lestari Dwi Lestari Dwi Lestari Dyah Rahmawati Hizbaron Eddy Kiswanto Faturochman Faturochman Hadi Sabari Yunus Hakimul Ikhwan Heldi Yusup Hilma Amrullah I Made Sarmita Joko Prio Suseno Lisa Mustafidatul Fauziah M Baiquni Mita Baiti Muhadjir Darwin Muhammad Rafif Mulyani, Wiwik Puji Muryanto Najib Najib Nanda Muliansah Nawawi Nawawi Pande Made Kutanegara Pinta Rachmadani R. Rijanta RATMINTO, RATMINTO Reni Pebrianti Resti Pujihastuti Rika Harini Risky Primastuti Rizal Mutaqin Rudi Dwi Yanto Salut Muhidin, Salut Seri Aryati Setiyo Nugroho Shara, Aprilia Riszi Indah Dewi Siti Rukayah Slamet Suprayogi Sonyaruri Satiti Sonyaruri Satiti Sonyaruri Satiti Ruri Sri Rum Giyarsih Sri Rum Giyarsih Sughoro, Sistra Bayu Sukamdi Sukmaniar Sumini Sumini Sumini Sumini Tuffahati Nadhifa Srihadini Wiwik Puji Mulyani Yaseva, Yosi Yudho Setiarsono Yushafira, Mirza Yusuf Amri