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All Journal Journal of Indonesian Economy and Business NUSANTARA : Jurnal Ilmu Pengetahuan Sosial JURNAL GEOGRAFI Geografi dan Pengajarannya Journal of Geographical Sciences and Education
Sarpono Sarpono
Badan Pusat Statistik (BPS) RI
Astronomy Economics, Econometrics & Finance Education Physics Social Sciences

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SPATIAL SMALL AREA ESTIMATION FOR DETERMINATION OF UNDERDEVELOPED VILLAGES IN THE PROVINCE OF YOGYAKARTA (DIY) IN 2011 Husna, Lilis Nurul; Sarpono, Sarpono
Journal of Indonesian Economy and Business Vol 28, No 1 (2013): January
Publisher : Journal of Indonesian Economy and Business

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Indonesias poverty alleviation programs are implemented by two approaches target, those are the pockets (areas) of poverty and the poor households. Related with povertyalleviation programs targeting poor areas, in the Medium Term Development Plan (RPJM) 2010-2014, the government through the Development Backward Areas Ministry(KPDT) has determined the backward or underdeveloped regions at the level of district/city. There is no district/city in the province of Yogyakarta (DIY) are classified asunderdeveloped region, but in 2011 the poverty rate in DIY is the highest compared with other provinces in Java and Bali. Therefore, the classifications of underdeveloped areasare not optimal if applicable only within the district, but it needs to be seen in the smaller scope, such as village. The main purpose of this study is to determine the underdeveloped villages in DIY in 2011. The average per capita household expenditure is a key indicator in measuring poverty. Susenas data can only be used to estimate the average per capita household expenditure to the level of district. Therefore, to obtain the estimated value invillage level, this study used Small Area Estimation approach by combining census data (Podes 2011) and survey data (Susenas 2011). This study used Geographically WeightedRegression (GWR) with Adaptive Gaussian Kernel Bandwidth weighting function. GWR is a linear regression model that produces the local parameters in all locations. GWRparameters estimated are performed by Weighted Least Squares (WLS) method which involving spatial aspects. The results found that there were 13 underdeveloped villages inDIY. Furthermore, the Local Indicator of Spatial Association (LISA) is used to look at the tendency of cluster in underdeveloped villages. Then, maps are used to compare characteristic of underdeveloped villages among others.Keywords: poverty, underdeveloped areas, spatial, SAE, GWR
Linking Land Cover to Flood Vulnerability: A Study on Vegetation Indices and Urban Build-Up in Hazard Mapping Muhammad, Ikhlas Nur; Sarpono, Sarpono; Wibowo, Agus; Setiawibawa, Rachmat; Kurniadi, Anwar
Journal of Geographical Sciences and Education Vol 3 No 2 (2025): Journal of Geographical Sciences and Education
Publisher : PT. Pubsains Nur Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69606/geography.v3i2.224

Abstract

Flooding is the most dominant disaster in Indonesia, with a major case in Greater Jakarta in March 2025, which is the issue of deforestation is highlighted as the main cause of this phenomenon. This study examines the relationship between vegetation canopy and built-up land on flood vulnerability. The analysis was conducted by correlating vegetation and built-up land indices against flood vulnerability maps from the National Disaster Management Agency using the Weighted Overlay method. Results show vegetation has a moderate correlation to flood vulnerability, while built-up land shows a lower correlation. The findings indicate that both contribute to flood risk, but are not a single factor. The study recommends further research with a spatio-temporal approach in smaller areas to be more specific.
SPATIAL ANALYSIS OF URBAN FLOOD VULNERABILITY USING WEIGHTED OVERLAY TECHNIQUE FOR IDENTIFICATION OF HAZARD ZONES IN GREATER JAKARTA Muhammad, Ikhlas Nur; Sarpono, Sarpono; Wibowo, Agus; Setiawibawa, Rachmat; Kurniadi, Anwar
JURNAL GEOGRAFI Geografi dan Pengajarannya Vol 23 No 1 (2025): JURNAL GEOGRAFI Geografi dan Pengajarannya
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jggp.v23n1.p223-238

Abstract

This study assessed flood hazards in the Greater Jakarta area, Indonesia, using geospatial analysis and the weighted overlay method in a Geographic Information System (GIS). There are variables used, which are vegetation index, wetness index, Topographic Position Index (TPI), distance to water bodies, and altitude. The classification results showed five levels of hazards: very low (0.48%), low (1.60%), medium (28.70%), high (48.96%) and very high (20.26%). A total of 69.22% of the study area of 6,724.18 km² was classified as high to very high. The findings emphasise the need for risk-based zoning and mitigation strategies, such as improved drainage and land use regulation. This research highlights the role of geospatial technology in supporting climate adaptation planning, in line with Sustainable Development Goal (SDG) 13, to increase the resilience of coastal-urban areas to increased flood threats due to climate change. Keywords: Flood Hazard Mapping, Geospatial Analysis, Climate Resilience
KONSEP DINAMIK KEBAKARAN HUTAN DI RIAU Nurprawitanti, Mushafatul; Sarpono, Sarpono; Wibowo, Agus; Jusivani, Larissa; Widodo, Pujo; Juni Risma Saragih, Herlina; Wilopo, Wilopo
NUSANTARA : Jurnal Ilmu Pengetahuan Sosial Vol 11, No 5 (2024): NUSANTARA : Jurnal Ilmu Pengetahuan Sosial
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jips.v11i5.2024.1840-1844

Abstract

Kebakaran hutan dan lahan (karhutla) di Indonesia merupakan permasalahan yang rutin terjadi setiap tahun, terutama pada musim kemarau.  Riau menduduki 3 besar dengan jumlah titik terbanyak atas kebakaran hutan dan lahan yang terjadi, terdapat total 8.839 titik dari 2015-2018. Riau memiliki luas lahan gambut sekitar 3,9 juta hektar yang telah banyak beralih fungsi menjadi perkebunan. Sejak tahun 2016, operasi pemadaman kebakaran hutan dan lahan (karhutla) di wilayah Riau telah melibatkan penggunaan helikopter water bombing. Terdapat 4 helikopter water bombing, 2 pesawat air tractor water bombing, dan 1 pesawat casa hujan buatan yang dikerahkan untuk memadamkan api. Penggambaran konsep dinamik kebakaran hutan di Provinsi Riau menggunakan struktur model Causal Loop Diagram (CLD) dan Stock-Flow Diagram (SFD) terhadap penggunaan lahan melalui aplikasi Powersim Studio 10. Berdasarkan perilaku hasil simultan Tahun 2019 – 2022, dilihat bahwa dampak kebakaran yang ditimbulkan berkurang dikarenakan adanya upaya pemadaman api menggunakan water bombing. Adapun beberapa faktor penurunannya yakni : pengelolaan hutan yang lebih baik, pendekatan pencegahan, kebijakan perlindungan lingkungan, teknologi dan inovasi, kerjasama internasional, dan perubahan iklim. Hal tersebut juga sdejalan dengan alih fungsi lahan yang setiap tahunnya mengalami penurunan. Hal ini diasumsikan karena kebijakan perlindungan lingkungan, kesadaran lingkungan, perubahan struktural ekonomi, kesadaran pemerintah dan regulasi, perubahan iklim, dan tekanan populasi.
Co-Authors Agus Wibowo Juni Risma Saragih, Herlina Jusivani, Larissa Kurniadi, Anwar Lilis Nurul Husna Muhammad, Ikhlas Nur Nurprawitanti, Mushafatul Pujo Widodo, Pujo Rachmat Setiawibawa Wilopo Wilopo, Wilopo