p-Index From 2021 - 2026
10.942
P-Index
This Author published in this journals
All Journal Jurnal Ilmu dan Teknologi Kelautan Tropis Indonesian Journal of Geography Geo Media: Majalah Ilmiah dan Informasi Kegeografian Jurnal Ilmu Lingkungan Jurnal Pendidikan Geografi Undiksha Tunas Geografi Media Komunikasi Geografi Majalah Geografi Indonesia JTSL (Jurnal Tanah dan Sumberdaya Lahan) Jurnal Tata Kota dan Daerah Plano Madani : Jurnal Perencanaan Wilayah dan Kota MAJALAH ILMIAH GLOBE EnviroScienteae Jurnal Geografi, Edukasi dan Lingkungan Journal of Regional and Rural Development Planning Justek : Jurnal Sains Dan Teknologi IJEMS (Indonesian Journal of Environmental Management and Sustainability) Jurnal Geografi International Journal of Remote Sensing and Earth Sciences (IJReSES) J SIG (Jurnal Sains Informasi Geografi) Spatial : Wahana Komunikasi dan Informasi Geografi Region : Jurnal Pembangunan Wilayah dan Perencanaan Partisipatif Journal of Community Based Environmental Engineering and Management Geodika: Jurnal Kajian Ilmu dan Pendidikan Geografi GEOGRAPHY : Jurnal Kajian, Penelitian dan Pengembangan Pendidikan Indonesian Journal of Earth Sciences International remote sensing application journal Asian Journal Collaboration of Social Environment and Education Holistic: Journal of Tropical Agriculture Sciences Jurnal Geografi LIngkungan Tropik (Journal of Geography of Tropical Environments) Jurnal Geologi dan Sumberdaya Mineral (Journal of Geology and Mineral Resources) BUMI: International Journal of Environmental Reviews Jurnal Geosains Terapan The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Claim Missing Document
Check
Articles

POLA SPASIAL PERUMAHAN SUBSIDI DI WILAYAH BODETABEK Adi, Luwi Wahyu; Wibowo, Adi
Plano Madani : Jurnal Perencanaan Wilayah dan Kota Vol 13 No 2 (2024)
Publisher : Jurusan Teknik Perencanaan Wilayah dan Kota, Fakultas Sains dan Teknologi, Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jpm.v13i2.45913

Abstract

The development of cities and regions is linked to housing development. The triggering factor is the increasing need for housing due to population growth. The Indonesian government has implemented the obligation to fulfill housing needs, one of which is through housing subsidies. However, the housing sector is one of the most complex sectors because it involves many stakeholders. Solving housing problems is also not easy to do. Moreover, the housing is located in an area with high population density and is a buffer for the capital such as Bodetabek. This research aims to find out what the spatial pattern of subsidized housing in the Bodetabek area looks like. Some of the methods used to determine the spatial pattern of subsidized housing are kernel density, density-base clustering and average nearest neighbor analysis. The results have shown that subsidized housing forms a density distribution pattern in the Bodetabek area. The distribution pattern has been divided into 5 classes, namely very low, low, medium, high and very high. In general, subsidized housing in Bodetabek has fallen into the clustering category. In addition, subsidized housing has been divided into 5 (five) large clusters. The clusters are Rajeg Cluster, Tigaraksa-Cisoka-Solear Cluster, Ciseeng-Ciampea-Kemang-Rancabungur Cluster, Cileungsi-Klapanunggal-Cibarusah-Serang Baru Cluster and Cibitung-Karang Bahagia-North Tambun Cluster. These patterns can be used as a database for development planning in the Bodetabek area. The development planning adjusts the segment of beneficiaries of subsidized housing, namely low-income communities.
Analisis Spasial Sebaran Sekolah di Kecamatan Warungkondang Kabupaten Cianjur Provinsi Jawa Barat Handayani, Ayu; Wibowo, Adi
Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 24 No. 1 (2024): Spatial : Wahana Komunikasi dan Informasi Geografi
Publisher : Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/spatial.241.007

Abstract

Schools are one of the facilities that are needed by the community in a residential area. Even distribution of educational facilities is a benchmark for achieving one of the goals of educational planning. This study aims to determine the distribution of elementary and junior high schools in Warungkondang District, Cianjur Regency and the pattern of school distribution using the descriptive method of NNA analysis.(Nearest Neighbor Analysis) andthe coordinates of the school location are sourced from Google Earth. The results of this study indicate that the distribution of elementary and junior high schools in the Warungkondang sub-district is quite even, the schools that are most widely spread are in Jambudipa Village while the village with no school units is in Bunisari Village and the pattern of school distribution is carried out in 32 locations of Public/Private Elementary and Middle Schools including uniform pattern category (spread).This means that most of the schools are located in densely populated areas in the east and the distribution of these schools is usually located near or along the road network.
Analisis Spasial Temporal Perubahan Tutupan Lahan di Sekitar Waduk Pendidikan Diponegoro menggunakan Data Google Earth Astuty, Yulia Indri; Wibowo, Adi
Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 23 No. 2 (2023): Spatial : Wahana Komunikasi dan Informasi Geografi
Publisher : Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/spatial.232.05

Abstract

The Diponegoro Education Reservoir is located in Tembalang District, Semarang City, Central Java Province. This reservoir was built for academic purposes and also to control floods around its neighbourhood. Semarang City has a high level of floods vulnerability. Located in the northern part of Java Island which is close to the Java Sea added with limited land availabilty and increased number of human population, make Semarang City is prone to flood. Based on data from the Central Statistics Agency, in 2007 the population in Semarang City was around 1.45 million people, in 2015 it rose to 1.59 million people, and in 2021 it will again increase to 1.65 million people. This increase in population cause various spatial problems that have an impact on flood vulnerability, one of which is the problem of land use. Therefore, a land cover analysis around the Diponegoro Education Reservoir is needed. This study conducted a temporal spatial analysis of land cover for 2007, 2015 and 2022 using Google Earth data. The method used is on screen digitization to obtain 3 classes of land cover classification, namely bodies of water, built-up land and non-built-up land. The hope is that the results of this research can present land cover data around the Diponegoro Education Reservoir in 2007, 2015 and 2022 as input to policy makers regarding spatial planning and disaster for sustainable development.
Analisis Perubahan Tutupan Lahan Pertanian dan Perkebunan di Bendungan Gondang, Kabupaten Karanganyar menggunakan Google Earth Purwanti, Renita; Setyanto, Yogyrema; Wibowo, Adi
Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 24 No. 1 (2024): Spatial : Wahana Komunikasi dan Informasi Geografi
Publisher : Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/spatial.241.02

Abstract

The construction of a dam generally aims to mitigate against floods, management of water availability, irrigation for agriculture, and also one of the tourism attractions. The construction of the dam has implications for land use change around the dam area which causes changes in land cover. The Gondang Dam is one of the government programs that began to be built in 2014 where the rehabilitation of the irrigation channels was completed in 2019 and has reached the maximum storage capacity in 2020. This study aims to analyze changes in agricultural and plantation land cover before and after the Gondang Dam was built using Imagery Satellites sourced from Google Earth are multitemporal with acquisition years 2013 and 2022. Land cover data was obtained through the on screen digitization method by producing 12 land cover classes and analyzed using the overlay method using a Geographic Information System (GIS). The overall accuracy test results for land cover data for 2013 and 2022 are 94.33% and 96.83%, respectively. The biggest change in land cover occurred in the plantation land cover class which experienced a decrease in area of 29.72 Ha
Integrative policy development for agricultural priority areas: Balancing land suitability and commodity preferences Putri, Nadya Paramitha; Frimawaty, Evi; Wibowo, Adi
Holistic: Journal of Tropical Agriculture Sciences Vol. 2 No. 2: January (2025)
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/hjtas.v2i2.2025.1287

Abstract

Background: Indonesia has the potential of natural resources to support agriculture. However, there are still some areas that have not optimized natural resources. People focus on planting commodity crops without considering the physical conditions of the environment and socio-culture. This research aims to develop policy directions for agricultural priority areas that consider the physical conditions of the environment and their suitability for farmers' commodity preferences. Methods: This study uses a quantitative approach with a combined method to determine agricultural priority areas. It integrates ZAE analysis, land carrying capacity, and farmers' commodity preferences. Findings: The results showed that the commodities preferred by farmers were cocoa, corn, and upland rice. The preference for these commodities has a significant correlation, especially with the source of income and the size of cultivated land. There is a 51% mismatch of existing agricultural land with the ZAE while in general agriculture in Nangapanda is in accordance with the carrying capacity of the land because it is at a high level of carrying capacity. Conclusion: Based on the agricultural priority areas formed, agriculture in Nangapanda can utilize dry land mainly for plantations with the direction of the main commodities tailored to the physical conditions of the land and the preferences of farmers namely cocoa, cashew, cloves, nutmeg, pepper. Novelty/Originality of this article: The novelty of this research lies in the integrative approach in formulating agricultural priority area policies that combine the suitability of physical environmental conditions and farmers' commodity preferences, which has not been widely applied in similar studies.
SMCE MODEL FOR COMMERCIAL AREAS SUITABILITY IN SERANG CITY Muafiroh, Salsa; Wibowo, Adi
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 6, No. 2
Publisher : UI Scholars Hub

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

Abstract

Commercial areas refer to specific zones designated for business activities, such as trade, retail, and industry, which play a critical role in supporting regional economic development. In the case of Serang City, the government has planned its development as a hub for commerce and industry. However, selecting an optimal location for commercial areas involves addressing challenges related to multiple criteria and alternative options, each with varying advantages and trade-offs, which often complicates the decision-making process. This research aims to analyze spatial modeling using simulations based on the Spatial Multi-Criteria Evaluation (SMCE) method, supported by ILWIS software to determine the most suitable locations. The results indicate that simulations A, B, C, and D effectively identify areas suitable for commercial development. Among these, simulation C, which emphasizes carrying capacity and land use variables, proved most accurate, identifying a potential area of 7,042.02 hectares across Serang and Cipokjaya Regencies. The study concludes that the SMCE method offers a robust framework for developing simulation models that assist in policy decision-making. Future research is recommended to incorporate additional parameters to enhance the precision and comprehensiveness of determining the best commercial locations
Wilayah bahaya longsor menggunakan metode SINMAP (studi kasus: Kecamatan Simpenan, Kabupaten Sukabumi, Provinsi Jawa Barat) Hermansyah; Supriatna; Adi Wibowo
Jurnal Geosains Terapan Vol 2 No 3 (2016): Jurnal Geosains Terapan
Publisher : Lembaga Ilmu Pengetahuan Indonesia

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

Abstract

Longsor merupakan bencana yang sering terjadi di Indonesia dan Provinsi Jawa Barat, termasuk Kabupaten Sukabumi di dalamnya merupakan daerah yang sering terjadi longsor. Oleh karena itu, sudah seharusnya diwaspadai dan dianalisis lebih baik agar tidak memakan korban yang lebih banyak. Salah satu metode yang digunakan untuk menganalisis potensi longsor adalah Stability Index Mapping (SINMAP) dengan menggunakan beberapa data, yaitu Digital Elevation Model (DEM), jenis tanah, dan curah hujan. Data tersebut nantinya digunakan untuk menganalisis wilayah potensi longsor di Kecamatan Simpenan. Kemudian peta potensi longsor hasil pemodelan SINMAP di-overlay dengan permukiman untuk mendapatkan wilayah bahaya longsor. Hasil penelitian menunjukkan bahwa 65,56% (11.034,81 Ha) dari luas wilayah Kecamatan Simpenan berpotensi longsor dan wilayah bahaya longsor seluas 192,82 Ha atau 36,90% dari total luas wilayah permukiman.
Analisis Spasial-Temporal Kerugian Perumahan Akibat Likuifaksi (Studi Kasus Gempa Palu Tahun 2018 di Balaroa, Petobo, dan Jono Oge) Junaid, Muhammad; Adi Wibowo
Jurnal Geologi dan Sumberdaya Mineral Vol. 26 No. 1 (2025): JURNAL GEOLOGI DAN SUMBERDAYA MINERAL
Publisher : Pusat Survei Geologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33332/jgsm.geologi.v26i1.887

Abstract

Gempa Palu tahun 2018 menyebabkan kerusakan parah pada wilayah metropolitan yang padat penduduk, karena ukurannya yang merusak dan tingginya kerentanan lokasi ini terhadap gangguan seismik. Fenomena ini telah banyak diteliti, dan para peneliti secara umum sepakat bahwa solusi perumahan yang tangguh dan integrasi teknologi geospasial mutakhir ke dalam pekerjaan manajemen bencana sangat penting. Tujuan Penelitian ini adalah memperkirakan jumlah penduduk terken dampak likuifaksi dengan data Google Earth. Metode yang digunakan adalah OBIA (Object Base Interpretation Analysis) yaitu mendeteksi bangunan rumah yang ada sebelum hilang akibat likuifaksi, kemudian menghitung jumlah penduduk dari jumlah bangunan yang hilang. Hasil temuan penelitian ini mengungkapkan kerugian perumahan yang signifikan di ketiga wilayah karena likuifaksi. Ketiga wilayah itu adalah Balaroa, Petobo dan Jono Oge. Petobo adalah wilayah yang mengalami perpindahan penduduk yang sangat mencolok. Hasil penelitian dapat memberikan uraian terperinci secara spasial tentang dampak likuifaksi pada area permukiman agar selanjutnya lingkungan perkotaan dapat beradaptasi terhadap peristiwa seismik. Hasil penelitian ini juga menujukkan bahwa perlu adanya integrasi langkah-langkah perencanaan perkotaan yang komprehensif. Sebagai kesimpulan, penelitian ini menggarisbawahi pentingnya strategi jangka pendek dan jangka panjang dalam manajemen bencana dan perencanaan perkotaan, yang menganjurkan pendekatan kolaboratif untuk membangun lanskap perkotaan yang tangguh, terutama di daerah yang rawan gempa bumi. Arah penelitian di masa mendatang disarankan, fokus pada penilaian kualitatif dan pengembangan kebijakan untuk meningkatkan infrastruktur yang tahan gempa. Kata kunci: Data Google Earth, dampak likuifaksi, analisis spasial, kehilangan rumah, perpindahan penduduk
Analisis Spasial-Temporal Kerugian Perumahan Akibat Likuifaksi (Studi Kasus Gempa Palu Tahun 2018 di Balaroa, Petobo, dan Jono Oge) Junaid, Muhammad; Adi Wibowo
Jurnal Geologi dan Sumberdaya Mineral Vol. 26 No. 1 (2025): JURNAL GEOLOGI DAN SUMBERDAYA MINERAL
Publisher : Pusat Survei Geologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33332/jgsm.geologi.v26i1.887

Abstract

Gempa Palu tahun 2018 menyebabkan kerusakan parah pada wilayah metropolitan yang padat penduduk, karena ukurannya yang merusak dan tingginya kerentanan lokasi ini terhadap gangguan seismik. Fenomena ini telah banyak diteliti, dan para peneliti secara umum sepakat bahwa solusi perumahan yang tangguh dan integrasi teknologi geospasial mutakhir ke dalam pekerjaan manajemen bencana sangat penting. Tujuan Penelitian ini adalah memperkirakan jumlah penduduk terken dampak likuifaksi dengan data Google Earth. Metode yang digunakan adalah OBIA (Object Base Interpretation Analysis) yaitu mendeteksi bangunan rumah yang ada sebelum hilang akibat likuifaksi, kemudian menghitung jumlah penduduk dari jumlah bangunan yang hilang. Hasil temuan penelitian ini mengungkapkan kerugian perumahan yang signifikan di ketiga wilayah karena likuifaksi. Ketiga wilayah itu adalah Balaroa, Petobo dan Jono Oge. Petobo adalah wilayah yang mengalami perpindahan penduduk yang sangat mencolok. Hasil penelitian dapat memberikan uraian terperinci secara spasial tentang dampak likuifaksi pada area permukiman agar selanjutnya lingkungan perkotaan dapat beradaptasi terhadap peristiwa seismik. Hasil penelitian ini juga menujukkan bahwa perlu adanya integrasi langkah-langkah perencanaan perkotaan yang komprehensif. Sebagai kesimpulan, penelitian ini menggarisbawahi pentingnya strategi jangka pendek dan jangka panjang dalam manajemen bencana dan perencanaan perkotaan, yang menganjurkan pendekatan kolaboratif untuk membangun lanskap perkotaan yang tangguh, terutama di daerah yang rawan gempa bumi. Arah penelitian di masa mendatang disarankan, fokus pada penilaian kualitatif dan pengembangan kebijakan untuk meningkatkan infrastruktur yang tahan gempa. Kata kunci: Data Google Earth, dampak likuifaksi, analisis spasial, kehilangan rumah, perpindahan penduduk
AN ANALYSIS OF VERTICAL DEFORMATION ON CIANJUR EARTHQUAKE 2022 Nurlukman, Candra Perkasa; Wibowo, Adi
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 8, No. 1
Publisher : UI Scholars Hub

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

Abstract

A shallow crustal-type earthquake on a surface fault occurred on November 21, 2022, in Cianjur, West Java. This destructive earthquake resulted in a loss of life, many houses were damaged, and landslides at several points. So, the research was analyzed using the DInSAR method to see the deformation and its relationship with the existing conditions in the field. We get the result of a vertical subsidence in the earthquake area of up to 101 millimeters. Through the distribution of displacement results, we found no overlapping faults at that location, identifying the formation of a new fault. In the distribution area of land subsidence, which overlaps with the location of the landslide occurrence, we also analyze the relationship between soil type and elevation, which may be related. With the data on affected buildings from BNPB, we analyze that around 44.4% of the total lightly damaged houses, 31.1% of the total moderately damaged houses, and 24.5% of the total heavily damaged houses are in the displacement distribution. Many factors cause damage to homes, but in this case, we can conclude that DInSAR analysis can see the deformation of the earth's surface.
Co-Authors Adi Wibowo Adi, Luwi Wahyu Aditya Ramadhan Aisha Abdullahi Aliyu Sulaiman Dan Hassan Alya Nisrina Zain Alya, Haura Hazema Anggara, Rifnaldi Bergas Arfani Priyambodo Arfani Priyambodo Arif Wicaksono Arista, Faza Ash Shidiq, Iqbal Putut Asri, Riyadul Astrid Damayanti Astuty, Yulia Indri Ayu Handayani Ayu Handayani Ayu Mardalena Bambang Wahyu Sudarmadji, Bambang Wahyu Bayu Rizqi Brenda Arham Brigita Maria R Brigitta Maria Damar Fauzan Bayuhasta Dedy Swandry Dedy Swandry Banurea Demi Stevany Demi Stevany Dyah Rizky Alyudin Ekaputri, Diah Megakesuman Muhidin Eko Kusratmoko Evi Frimawaty Fani Setyawan Fathiyya Ulfa Gafuraningtyas, Dewi Girlly Marchlina Listyono Glendy Somae Gusrianda, Ilham Handayani, Ayu Hanidya, Farah Satira Haura Zahro Heri Setiawan Hermansyah Hermawan Setiawan Hermawan Setiawan I Wayan Gede Krisna Arimjaya Imam, Mahmoud Zubair Indira, Indira Iqbal Putut Ash Sidiq Jarot M Semedi, Jarot M Junaid, Muhammad Kamarudin, Norizah Karimatu Umar Kentjana, Nabila Hasna Khairulmaini Osman Salleh Kuncoro Adi Pradono M. Dadang Basuki Marwah Noer MASITA DWI MANDINI MANESSA, MASITA DWI MANDINI Muafiroh, Salsa Muhamad Khairul Rosyidy Musrah, Nur Auliya Nastiti, Afifa Ayu Niken Anissa Putri Noer, Marwah Nur Hikmah Nur, Agus Salim Nurlukman, Candra Perkasa Pamungkas, Fajar Dwi Parluhutan Manurung Pin, Tjiong Giok Prabandari, Amanah Anggun Pradana, Mohammad Raditia Pradono, Kuncoro Adi Prasetya, Ferdian Adhy Purwaningsih, Yuli Putra, I Kadek Yoga Dwi Putri, Nadya Paramitha Rakyan Paksi Nagara Ratna Saraswati Ratna Saraswati, Ratna Renita Purwanti, Renita Revi Hernina Rifqiya Luthfiyan Rifqiya Luthfiyani Rofiatul Ainiyah Rofiatul Ainiyah, Rofiatul Rosyidy, Muhamad Khairul Rufi'i Rumondor, Brigitta Maria Safira Nur Aisyah Salamatu Surajo Sani Inuwa Sani Sani, Inuwa Sani Semedi, Jarot Mulyo Septianto Aldiansyah Setyanto, Yogyrema Sobirin Sobirin Sobirin Sobirin Suko Prayitno Adi Sunukanto, V S Supriatna Supriatna Supriatna Supriatna Supriatna Supriatna, Supriatna, Department of Geography, Faculty of Mathematics and Natural Sciences, Universitas Indonesia Tampubolon, Stefanus Binoto Tanuda Pedro Rusdiono Taqyudin, Taqyudin Tia Pramudyasari Tjhia Wikha Jily farry Triarko Nurlambang Veronica, Kiki Winda Yoga Dwi Putra, I Kadek Yulia Indri Astuty Yulia Indri Astuty Yuningsih Yuningsih Yuny Fikriyah Shofy Zahro, Haura