The need for built-up area increases along with a rise in population growth in many regions. This phenomenon leads to a tremendous change in agricultural land and decrease in the environmental carrying capacity. Therefore, this study aims to determine Land Use and Land Cover (LULC) dynamics and the drivers used for its modeling in 2030. This is a quantitative study, which uses the dynamic models of Geographic Information System (GIS) and Markov-CA. Data were obtained from the CNES-Airbus satellite imageries in 2009, 2014, and 2019 by using Google Earth at East Cirebon. The drivers include road density, distance to CBD, total population, distance to settlements, land slope and distance to rivers. The interaction between drivers and LULC change was analyzed using binary logistic regression. The results showed that the rise of built-up area reached 36.4 percent and causes the loss of 0.78 km2 of agricultural land from 2009 to 2019. The LULC simulation in 2030 shows an increase in the built-up area by 82.85 percent with probabilities above 0.6. Meanwhile the significant drivers for changes include road density and distance to settlements. In conclusion, efforts to reduce LULC change in agricultural land into built-up area is by re-strengthening spatial planning-based environmental awareness for the community. Keywords: Built-up area; GIS; LULC; Markov-CA; Spatial modeling   Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

Buku ini ditulis atas dasar inisiatif penulis yang melihat perkembangan dan pemanfaatan informasi geografis di tengah masyarakat dan lembaga pendidikan. Materi informasi geografis telah lama dikenal melalui tool-nya yakni sistem informasi geografis (SIG). Pembahasan mengenai SIG pada jenjang pendidikan menengah sudah dan sedang diimplementasikan melalui pembelajaran geografi di sekolah, sedangkan pada tingkat pendidikan tinggi SIG sudah masuk dalam kurikulum berbagai program studi selain geografi seperti kehutanan, pertanian, kelautan, geodesi / geomatika, geologi, geofisika, perencanaan wilayah, statistik, sistem informasi, hingga teknik informatika.Demikian pesatnya perkembangan SIG membuat lahirnya kajian keilmuan baru yang bernama Sains Informasi Geografis (SAIG) / Geographic Information Science (GIScience) di dua perguruan tinggi tanah air yakni di UGM dan UPI. Melihat potensi besarnya di masa mendatang, penulis berusaha menyajikan tulisan yang berisi fundamental-nya ke publik dengan format gabungan antara buku teks, modul, dan studi kasus. terlepas dari semua itu, penulis menyadar sepenuhnya bahwa terdapat kekurangan baik dari segi penulisan maupun kontennya, sehingga penulis sangat menghargai segala bentuk kritik dan saran membangun. Semoga tulisan sederhana ini dapat bermanfaat untuk kita semua.

Steam power plant construction and operation is an effort to meet electricity needs. In Indonesia, two steam power plants were built and changed the landscape in Cirebon. The presence of Cirebon steam power plants has disturbed the community and potential to decrease air quality. This study aims to estimate air quality changes around the power plants based on remote sensing satellite imageries. The main data in this study obtained from Landsat-8 OLI (2019) and Landsat-7 ETM (2004) satellite imageries were processed with four parameters of air quality algorithm namely PM10, CO, SO2, and NOx on AOI with ranging of 2000 m from the source point. Validation uses comparative data from MODIS and Sentinel-2 MSS satellite imageries in the same period. Changes analysis in air quality used the Mann-Whitney method (U-Test). This research shows that the Landsat series satellite imagery is suitable to be used as the main data for estimating air quality because it has a similar pattern to comparable data. The Cirebon PLTU operation caused a significant increase in CO levels of 1.25 mg/l on a wide range. In other air quality parameters such as PM10, SO2 and NOx were decreased.

Urban crime is unplanned change from urban development processes. Understanding of urban crime is necessary for crime prevention and increase urban living quality. The geographical approach in urban crime analysis can analyze crime pattern using a geographic information system, also investigate a correlation between crime and environmental condition. This research is conducted to analyze the relationships between urban crime and urban accessibility in Sumur Bandung as the region with the highest crime in Bandung City. Urban crime pattern can be determined using geographic information systems through kernel density estimation, whereas urban accessibility is obtained via network indices methods. The correlation between urban crime pattern and urban accessibility is determined from statistical tests. The results show there is a significant positive relationship between urban crime and urban accessibility in Sumur Bandung Sub-District. Urban crime pattern is concentrated in Braga and Babakan Ciamis. Crime will increase in a more accessible area, thus crime prevention effort through physical access controlling regulation in the urban region.

Peningkatan suhu udara merupakan dampak dari pemanasan global serta berkurangnya vegetasi. Pada kawasan perkotaan, peningkatan suhu udara secara signifikan dapat memunculkan fenomena urban heat island yang dalam jangka panjang mampu mengubah iklim mikro. Estimasi suhu permukaan dan kerapatan vegetasi diperoleh dari data satelit penginderaan jauh secara multi-temporal. Penelitian ini bertujuan untuk menganalisis dinamika suhu permukaan dan kerapatan vegetasi di Kota Cirebon. Penelitian ini memanfaatkan data citra Landsat-5 TM dan Landsat-8 OLI yang divalidasi dengan data MODIS pada periode tahun 1998, 2008, serta 2018. Nilai suhu permukaan diekstraksi dengan radiative transfer equation, sedangkan informasi kerapatan vegetasi diperoleh dengan normalized difference vegetation index (NDVI). Interaksi antara suhu permukaan dan kerapatan vegetasi diketahui melalui analisis korelasi spasial. Sepanjang tahun 1998 hingga 2018 terjadi peningkatan suhu permukaan sebesar 1.18 oC yang disertai dengan menurunnya area bervegetasi rapat hingga 12.683 km2. Penelitian ini juga menunjukkan korelasi negatif yang signifikan antara suhu permukaan dan kerapatan vegetasi di Kota Cirebon. Suhu permukaan tertinggi terpusat pada CBD, pelabuhan, area rawan kemacetan, kawasan industri, dan terminal. Berdasarkan kajian ini, upaya menanggulangi suhu permukaan di Kota Cirebon perlu ditangani melalui penyediaan ruang terbuka hijau, green belt, maupun reforestrasi.

Background The spread of the coronavirus disease 2019 (COVID-19) has increasingly agonized daily lives worldwide. As an archipelagic country, Indonesia has various physical and social environments, which implies that each region has a different response to the pandemic. This study aims to analyze the spatial differentiation of COVID-19 in Indonesia and its interactions with socioenvironmental factors. Methods The socioenvironmental factors include seven variables, namely, the internet development index, literacy index, average temperature, urban index, poverty rate, population density (PD) and commuter worker (CW) rate. The multiple linear regression (MLR) and geographically weighted regression (GWR) models are used to analyze the impact of the socioenvironmental factors on COVID-19 cases. COVID-19 data is obtained from the Indonesian Ministry of Health until November 30th 2020. Results Results show that the COVID-19 cases in Indonesia are concentrated in Java, which is a densely populated area with high urbanization and industrialization. The other provinces with numerous confirmed COVID-19 cases include South Sulawesi, Bali, and North Sumatra. This study shows that the socioenvironmental factors, simultaneously, influence the increasing of confirmed COVID-19 cases in the 34 provinces of Indonesia. Spatial interactions between the variables in the GWR model are relatively better than those between the variables in the MLR model. The highest spatial tendency is observed outside Java, such as in East Nusa Tenggara, West Nusa Tenggara, and Bali. Conclusion Priority for mitigation and outbreak management should be high in areas with high PD, urbanized spaces, and CW.

Ciledug Lor is a flood-prone area in Cirebon Regency. Flood disaster management can empower the community through participatory mapping and crowdsourcing activities. This study aims to analyze the level of floods, threats, vulnerabilities, capacities, risks and refuge locations in Ciledug Lor Village based on participatory mapping, crowdsourcing, and GIS. Various indicators of threat, vulnerability, and flood capacity are obtained from field survey, open data and official data that have been given a value and weight which are then processed using overlay analysis to obtain flood risk parameters. Determination of refuge locations used network analysis to find out the route, distance, and effective time. The results analysis and modeling showed the average flood level in Ciledug Lor reached 2.27 meters. The refugee location for Dusun Pamosongan and Dusun Kampung Baru are to the north close to the railway tracks. Meanwhile, Dusun Karanganyar and Dusun Genggong are in the Ciledug Bus Terminal. In the future, participatory mapping, crowdsourcing, and GIS are expected to build awareness and resilience of disaster.

Abstract Bandung city is one of the regions which have biggest suspects of human immunodeficiency virus (HIV) in Indonesia. Various attempts were made by the local government to tackle HIV's spread, but the trend is increasing in line with urbanization rate. Through a spatial perspective, this study aims to analyze the relationship between urbanization and spread of HIV in Bandung City through Spearman-Rank analysis and Global Moran’s I auto-correlation. Urbanization data were obtained from built areas based on remote sensing imageries, whereas the spread of HIV is provided by Bandung Health Office. The results showed that urbanization had a significant negative correlation with the number of HIV in Bandung City. The spatial distribution of HIV has an upward trend of 0.225 with a random pattern, with the highest increase occurred in Coblong sub-district. The dynamics distribution of urbanization and HIV in Bandung City had a centralized pattern with different spatial concentrations. Keywords: Bandung City, built-up area, HIV distribution, urbanization Abstrak Kota Bandung merupakan salah satu wilayah yang memiliki penyintas HIV tertinggi di Indonesia. Berbagai upaya dilakukan oleh pemerintah daerah guna menanggulangi penyebaran HIV, meskipun tren pertumbuhan dan penyebarannya terus meningkat sejalan dengan urbanisasi. Melalui perspektif spasial, penelitian ini bertujuan untuk menganalisis hubungan antara laju urbanisasi terhadap penyebaran dan tren HIV di Kota Bandung melalui analisis korelasi Spearman-Rank dan autokorelasi Global Moran’s I. Data urbanisasi diperoleh dari jumlah lahan terbangun yang berbasis citra penginderaan jauh, sedangkan sebaran dan jumlah HIV merujuk pada informasi resmi dari Dinas Kesehatan Kota Bandung. Hasil penelitian menunjukkan urbanisasi memiliki korelasi negatif yang signifikan terhadap jumlah HIV di Kota Bandung. Penyebaran HIV secara spasial mengalami tren kenaikan sebesar 22.5 persen dengan pola acak, dengan kenaikan tertinggi terjadi di kecamatan Coblong. Dinamika distribusi urbanisasi dan jumlah HIV di Kota Bandung memiliki pola memusat dengan konsentrasi spasial yang berbeda. Kata kunci: Kota Bandung, lahan terbangun, urbanisasi, persebaran HIV