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Analisis Tipologi Desa Tertinggal di Kabupaten Bojonegoro Albab, Ulul; Muta'ali, Luthfi; Kurniawan, Andri
Media Komunikasi Geografi Vol 20, No 2 (2019)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/mkg.v20i2.19491

Abstract

Suatu pembangunan seringkali belum dapat mencapai tujuan pemerataan pembangunan sehingga menimbulkan kesenjangan antar wilayah dimana terdapat wilayah yang telah berkembang dan wilayah yang masih tertinggal perkembangannya, seperti pada Kabupaten Bojonegoro yang menunjukkan adanya kesenjangan wilayah. Penelitian ini bertujuan untuk menganalisis tingkat perkembangan desa di Kabupaten Bojonegoro dan menganalisis pola spasial persebaran desa tertinggal di Kabupaten Bojonegoro. Jenis penelitian ini berupa penelitian survei deskriptif dengan pendekatan kuantitatif dan kualitatif yang berbasis pada analisis data primer dan sekunder. Penelitian ini  menggunakan analisis faktor untuk menentukan tingkat perkembangan desa serta menentukan penyebab variasi tingkat perkembangan dan analisis tipologi desa untuk menganalisis pola spasial persebaran desa tertinggal di Kabupaten Bojonegoro. Dari hasil penelitian dapat diketahui bahwa tingkat perkembangan wilayah desa-desa di Kabupaten Bojonegoro di dominasi oleh desa dengan kategori berkembang dengan presentase 63,72% dan hanya 16,05% desa dengan kategori tertinggal. Desa dengan kategori tertinggal umumnya berada pada daerah perbukitan dan di sekitar Bengawan Solo. Tingkat perkembangan wilayah desa di Kabupaten Bojonegoro dibentuk oleh faktor jarak fasilitas umum, faktor sumberdaya alam, faktor kesehatan dan kemiskinan, faktor mitigasi bencana, faktor industri, pemasaran, pengguna listrik dan faktor proporsi sekolah, proporsi tenaga kesehatan. Desa tertinggal di Bojonegoro dibagi kedalam 8 tipologi, yaitu desa tertinggal di dataran koridor antar kota berjumlah 10 desa, desa tertinggal di dataran perdesaan berjumlah 22 desa, desa tertinggal di dataran pinggiran berjumlah 14 desa, desa tertinggal dataran terisolasi hanya 1 desa, desa tertinggal di perbukitan koridor antar kota berjumlah 4 desa, desa tertinggal di perbukitan perdesaan berjumlah 11 desa, dan desa tertinggal di perbukitan terisolasi berjumlah 8 desa, sedangkan desa di dataran kota tidak tidak ada yang masuk dalam kategori tertinggal.Kata Kunci : Tingkat Perkembangan Wilayah; Tipologi Desa; Desa Tertinggal
Analisis Spasial Temporal Perubahan Tutupan Lahan Di Kawasan Perkotaan Cekungan Bandung Berbasis Google Earth Engine Purboyo, Alvian Aji; Kurniawan, Andri; Muta'ali, Luthfi
Jurnal Pendidikan Geografi Undiksha Vol. 12 No. 2 (2024): Jurnal Pendidikan Geografi Undiksha
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jjpg.v12i02.75526

Abstract

Isu strategis terkait perubahan tutupan lahan menjadi sangat penting di Kawasan Perkotaan Cekungan Bandung (KPCB). Penelitian ini, tujuan penelitian yang dicapai berupa teridentifikasi perubahan tutupan lahan tahun 2003, 2013, dan 2023 di Kawasan Perkotaan Cekungan Bandung. Metode penelitian yang digunakan dalam penelitian berupa penginderaan jauh dengan pendekatan spatial process analysis. Google Earth Engine merupakan platform yang digunakan untuk mengklasifikasi tutupan lahan. Adapun algoritma yang digunakan berupa Random Forest Classifier (RFC). Hasil klasifikasi dari RFC dapat menghasilkan klasifikasi yang sangat baik. Uji akurasi yang dihasilkan berdasarkan overall accuracy dan kappa, tahun 2003 sebesar 0.99:0.98, tahun 2013 sebesar 0.97:0.96, dan tahun 2023 sebesar 0.98:0.97. Selama 20 tahun terakhir, terlihat bahwa kebutuhan lahan terbangun, khususnya untuk tempat tinggal terus meningkat seiring dengan peningkatan jumlah kebutuhan manusia. Perlu perhatian lebih lanjut dalam perencanaan dan pengembangan wilayah guna menjaga keseimbangan antara pertumbuhan perkotaan dan pelestarian lingkungan.
Pola Spasial Pergeseran Pusat Pertumbuhan Desa di Kabupaten Kulon Progo Rahayu, Dina; Muta'ali, Luthfi
Journal of Regional and Rural Development Planning (Jurnal Perencanaan Pembangunan Wilayah dan Perdesaan) Vol. 8 No. 3 (2024): Journal of Regional and Rural Development Planning (Jurnal Perencanaan Pembangu
Publisher : P4W IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jp2wd.2024.8.3.197-212

Abstract

Kulon Progo is a poorest district and has the highest development inequality in Daerah Istimewa Yogyakarta (DIY) based on Badan Pusat Statistik (BPS) publication. The local government has made various efforts to overcome the problems, one of which is by establishing growth centers since 2003. However, Kulon Progo Regency has experienced rapid development with the existence of Yogyakarta International Airport, which affected the dynamics of regional growth centers. The purpose of this study is to identify the potential Rural Growth Center (PPD) and identify the spatial patterns of PPD shifts in Kulon Progo to see the trickle down effect. This study used descriptive quantitative methods using scalogram index, centrality index, urban network analysis, and gravity index, also moran’s I index and Local Indicator Of Spatial Association (LISA). The results showed that there was a shift in rural growth centers, but the spatial analysis did not show any trickle down effect from rural growth centers that had been formed before. However, new centers were formed that were not related to the previous rural growth centers. These results indicates that the rural growth centers in Kulon Progo cannot have a growth effect on the surrounding area.
Assessing Urban Level Changes Using GIS and Statistical Analysis in the Kedungsepur Metropolitan, Indonesia Indrayati, Ariyani; Rijanta; Muta'ali, Luthfi; Rachmawati, Rini
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 14 No 3 (2024): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.14.3.494

Abstract

From 2010 to 2020, the Kedungsepur Metropolitan Corridor experienced spatial transformations, converting agricultural areas into built-up areas. This study seeks to identify new insights by examining the correlation between socioeconomic facilities and built-up areas, typically analyzed separately. Satellite imagery interpretation was used to determine the proportion of built-up areas, apply the K-Means Cluster method for the urban level, and conduct statistical analysis using the chisquare test. The findings reveal that the Semarang—Ungaran—Salatiga Corridor has the greatest built-up areas. The average change in built-up area within the Kedungsepur Metropolitan Corridor from 2010 to 2020 was 3.25%. Additionally, the Central Semarang Subdistrict had the highest level of socioeconomic facilities. However, the Chi-Square test results indicated differences between the observed and expected frequencies of built-up area percentages in each subdistrict for both 2010 and 2020. Surprisingly, no correlation was found between urban-level changes related to built-up areas and socioeconomic facilities. These results suggest that urban changes in the primary city are relatively stagnant, while more intensive development occurs in secondary cities withinKedungsepur. The dominant driving factor for urban transformation is the change in built-up areas,which indicates the intensified growth of secondary cities.
Identifikasi Tutupan Lahan Menggunakan Support Vector Machine di Kawasan Perkotaan Cekungan Bandung Purboyo, Alvian Aji; Kurniawan, Andri; Muta'ali, Luthfi
Jurnal Komtika (Komputasi dan Informatika) Vol 8 No 1 (2024)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v8i1.11140

Abstract

The current mapping challenge is to obtain land cover information with a very high level of accuracy. This information can be useful for regional development, especially in the Bandung Basin Urban Area (KPCB). One of the problems in KPCB is spatial planning issues regarding land cover development. One approach to obtaining land cover information is by utilizing remote sensing technology using the Support Vector Machine (SVM) method. The research method employed in this study is remote sensing, with a unit of analysis based on Regency/City administrative boundaries. The data used in this research consists of Landsat imagery recorded in 2023. The aim of this research is to classify land cover and assess accuracy using the SVM method in KPCB. The SVM results provide information on six land covers: water bodies, secondary forests and mixed gardens, wet agricultural land, dry agricultural land, plantations, built-up land, and primary forests. The accuracy test yielded an overall accuracy of 90% and a kappa value of 0.88. The obtained accuracy in land cover classification is very high, indicating that the data used can be employed for further analysis. For instance, spatial analysis reveals that built-up land development in KPCB tends towards the south, highlighting the phenomenon of urban sprawl. Thus, the utilization of remote sensing technology for land cover information can offer valuable policy insights for addressing spatial planning and development in KPCB.
THE CARRYING CAPACITY ON ECOSYSTEM SERVICES OF LAND USE CHANGE AT BORDER ENTIKONG Irsan, Robby; Muta'ali, Luthfi; Sudrajat, S
Geosfera Indonesia Vol. 3 No. 2 (2018): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v3i2.7896

Abstract

Entikong Region is located in Sanggau Regency, West Kalimantan Province, Indonesia, which is directly adjacent to Malaysia. Land use in the Border Area, which is massive and irregular, results in environmental degradation, deculturization, and lack of living standards of the community. High population growth in the border areas leads to excessive use of natural resources, and used land is not appropriately allocated. The land has limited function, and if the demand for the land is greater than the carrying capacity, there will be an imbalance that results in land degradation and its environment. The purpose of this study is to identify the type and extent of land function switch, analyze provider services as part of the Land Support Capacity Ecosystem services, and identify the Accuracy of Image Interpretation. The results showed that the increasing area of massive land use comes from a mixed plantation in 2017 increased by 60.6% of the total area of Entikong District. Degradation occurs in primary forest land use component which is only 18.6% of Entikong's total area in 2017. This indicates that the use of mixed plantation land acquires the protected forest, with many palm, rubber, and pepper. Similarly, the percentage of accuracy test from the interpretation result reaches 83.33% from 42 sample points in accordance with the real conditions. The Value of Clean Water Ecosystem Service Providers in 2011 was 0.36 and was 0.33 in 2017. Then within the period of almost 7 years, it is decreased by 0.03. Thus, the Ecosystem Service Index of clean water providers has a value less than 1, it means the function of the area as a provider of clean water is very small. Similarly, the Provider Ecosystem Services Index for Foodstuffs, the Value of Food Ecosystem Services Index in 2011 was 0.32 and was 0.31 in 2017, then within the nearly 7-year period, it is decreased by 0.01. The ecosystem services index as a food supply provider for the Entikong border area is very low (less than 1) which means the carrying capacity of the environment is not good enough for supplying food needs in Entikong. This indicates that there is a reduction in the availability of environmental services, and if it continues, then Environmental Assets declines sharply and services derived from nature will be lost or will be expensive in the near future. Thus, optimization and revitalization of land use are necessary by applying various policies related to development in the border area in Entikong District. Keywords: Borders, Land Use, Ecosystem Provider Services. References Admadhani, D. N., Hajil, A. H. S., & Susanawati, L. D. (2013). Analysis of Water Supply and Water Demand for Carrying Capacity Assessment ( Case Study of Malang ). Journal of Natural Resources and Environment. Asdak, C., & Salim, H. (2006). Water Resource Capacity As a Spatial Planning Consideration. Journal of Environmental Engineering P3TL-BPPT. Ernan Rustiadi, Sunsus Saefulhakim, D. R. P. (2011). Planning and Regional Development. Restpent Press. Ghozali. (2013). Referral of Land Use Utilization Through Ecological Footprint in Gresik Regency. Territory and Environment, 1 No.1, 67–78. Hamidy, Z. (2003). Land Cover Change, Composition, and Life Type in Suakaidupan Cikepuh. Faculty of Forestry, IPB. Muta’ali, L. (2015). Regional Analysis Techniques For Regional Planning, Spatial Planning, and Environment (Februari). Yogyakarta: Faculty of Geography UGM. National Standardization Department. (2010). Classification of Land Cover. Purwadhi. (2008). Introduction Remote Sensing Imagery Interpretation. Semarang: LAPAN. Riqqi, A. (2014). Design Concept Techniques Determination of Supporting Capacity and Capacity of the National Environment and Islands / Islands And Provinces. Bali: KLH. Saripin, I. (2003). Identify Land Use Using Landsat TM Imagery. Agricultural Engineering Bulletin. Varika. (2015). Monitoring of Ecosystem Service-Based Ecotourism (Recreation and Ecotourism) Capacity in 2000 and 2015 Using Landsat Image in Badung Regency, Bali. Viska. (2012). Land Use Direction in Batu City Based on Ecological Ecosystem Approach. Pomits Technique, 1 No.1, 1–6. Copyright (c) 2018 Geosfera Indonesia Journal and Department of Geography Education, University of Jember Copyright Notice This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
THE LAND USE PRIORITY RANKING WITH THE APPROACH OF ANALYTIC HIERARCHY PROCESS (AHP) ON THE BOUNDARY OF ENTIKONG Irsan, Robby; Muta'ali, Luthfi; Sudrajat, S
Geosfera Indonesia Vol. 3 No. 2 (2018): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v3i2.8047

Abstract

Entikong is a sub-districts located in the borderline, northern end of Sanggau Regency directly adjacent to Sarawak, Malaysia. The growth of Entikong as a center of growth does not provide a downward trickle effect, but it creates an excessive resources exploitation effect to the surrounding area (backwash effect). The land use within an area should be adjusted to its function. For that reason, this research will determine the priority and rank of land use by using the Analytic Hierarchy Process (AHP). The ranking is based on four aspects of criteria; social, economic, institutional, and environmental. The hierarchy model is sorted into alternatives, criteria, and sub-criteria. The criteria and subcriteria are compared, as well as the value of consistency. After data processing and analyzing with Expert Choice software version 11, the researcher found that the main priority of land use in Entikong is for plantation, which is 29,7%. Keywords: AHP, Land Use, Expert Choice References Adimihardja, A. (2006). Strategi mempertahankan multifungsi pertanian di indonesia. Jurnal Litbang Pertanian. Bourgeois, R., Penunia, E., Bisht, S., & Boruk, D. (2017). Foresight for all: Co-elaborative scenario building and empowerment. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2017.04.018 Ernan Rustiadi, Sunsus Saefulhakim, D. R. P. (2011). Perencanaan dan Pengembangan Wilayah. Restpent Press. Fandelli, C. (2014). Bisnis Konservasi Pendekatan Baru Dalam Pengelolaan Sumberdaya Alam dan Lingkungan Hidup (2nd ed.). Yogyakarta: Gadjah Mada University Press. Retrieved from http://ugmpress.ugm.ac.id/id/product/sains-teknologi/bisnis-konservasi-pendekatan-baru-dalam-pengelolaan-sumberdaya-alam-dan-lingkungan-hidup Giyarsih, S. R. (2010). POLA SPASIAL TRANSFORMASI WILAYAH DI KORIDOR YOGYAKARTA-SURAKARTA Spatial Pattern of Regional Transformation In Yogyakarta-Surakarta Corridor. Forum Geografi. Hidayat, W., Rustiadi, E., & Kartodihardjo, H. (2015). Dampak Pertambangan Terhadap Perubahan Penggunaan Lahan dan Kesesuaian Peruntukan Ruang (Studi Kasus Kabupaten Luwu Timur, Provinsi Sulawesi Selatan). Jurnal Perencanaan Wilayah Dan Kota. https://doi.org/10.5614/jpwk.2015.26.2.5 IPCC. (2000). Land Use, Land-Use Change, and Forestry. Forestry. https://doi.org/DOI: 10.2277/0521800838 Ishartono & Raharjo, S. T. (2015). Sustainable Development Goals (SDGs) Dan Pengentasan Kemiskinan. Social Work Jurnal. https://doi.org/ttps://doi.org/10.24198/share.v6i2.13198 Prawira, N. G. A., & Ariastita, P. G. (2014). Rumusan Insentif dan Disinsentif Pengendalian Konversi Lahan Pertanian di Kabupaten Gianyar. Jurnal Teknik Pomits. Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences. https://doi.org/10.1504/IJSSCI.2008.017590 Copyright (c) 2018 Geosfera Indonesia Journal and Department of Geography Education, University of Jember Copyright Notice This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License