Nuclear energy is a choice to meet the electricity needs of West Kalimantan, Indonesia to support new industrial areas. Nuclear Power Plants (NPPs) require an appropriate location in terms of biogeophysical, socio-economic, and disaster considerations. This study aims to determine potential sites for NPPs using spatial-weighted multicriteria analysis. GIS and analytical hierarchical processes (AHP) were combined to produce suitable NPPs site. This study showed that West Kalimantan has a very high suitability area covering 16,321.66 Km² (25.81 %) for NPPs. The NPPs are proposed to operate with water reactor coolants, thereby prioritizing areas of about five kilometres from the shoreline. We discovered twelve sites, but only two suitable priority sites for NPPs were found in Ketapang after overlapping with national/regional planning and the existing state. These sites will not significantly impact the environment, socio-economic, and policies, also will support electricity for the new capital region for Indonesia.

Sexual harassment is a social problem that needs urgent attention to reduce its frequent occurrence. This paper is a systematic literature review (SLR) that summarizes the previous studies of sexual harassment from Islamic state universities (UIN) in Indonesia. Data were collected from the final year bachelor's theses available in the online library repository of UIN Syarif Hidayatullah Jakarta, UIN Walisongo Semarang, UIN Sunan Ampel Surabaya, UIN Ar-Raniry Aceh, UIN Alauddin Makassar and UIN Raden Fatah Palembang with open-access facilities. The SLR and Meta-analysis were used to investigate the background, perpetrator-victim involvement, and resolution of sexual harassment. This research used 20 eligible and relevant theses for the study of sexual harassment have been published from 2007 to 2022. The result showed that most cases occurred in urban areas, where the perpetrators are people known to the victim, such as family members, colleagues at work, neighbors, and playmates. Therefore, the role of non-governmental organizations and local governments is very helpful for victims to form coping strategies and report criminal cases. Sexual harassment needs to get more public attention by strengthening litigation and non-litigation needs, accompanied by the provision of sexuality education for parents, children, and the community.

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

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.

Groundwater is a primary water resource for human living. In Indonesia, excessive exploitation of groundwater generally occurs in the built-up area due to over-discharge processes characterized by a cone of depression. This research revealed the spatial interaction between groundwater levels and surface topographic using geographically weighted regression in built-up area. Groundwater levels data are obtained from 72 wells in Cikembang, Bandung Regency, whereas surface topographic based on BIG’s DEMNas data which has 8 meters spatial resolution. This study showed significant spatial interaction between groundwater levels and surface topographic in the built-up area. The interaction has a clustered pattern with p-value less than 0.01. It indicated in the area with flat surface topographic has lower groundwater levels than others. There are several points who indicated the cone of depression in the built-up area with flat topographic. The geographically weighted regression model has high spatial variability and better results than the global regression model to assess groundwater level interaction with surface topographic.