This study proposes a new model for land suitability for educational facilities based on spatial product development to determine the optimal locations for achieving education targets in West Java, Indonesia. Single-aspect approaches, such as accessibility and spatial hazard analyses, have not been widely applied in suitability assessments on the location of educational facilities. Model development was performed based on analyses of the economic value of the land and on the integration of various parameters across three main aspects: accessibility, comfort, and a multi-natural/biohazard (disaster) risk index. Based on the maps of disaster hazards, higher flood-prone areas are found to be in gentle slopes and located in large cities. Higher risks of landslides are spread throughout the study area, while higher levels of earthquake risk are predominantly in the south, close to the active faults and megathrusts present. Presently, many schools are located in very high vulnerability zones (2057 elementary, 572 junior high, 157 senior high, and 313 vocational high schools). The comfort-level map revealed 13,459 schools located in areas with very low and low comfort levels, whereas only 2377 schools are in locations of high or very high comfort levels. Based on the school accessibility map, higher levels are located in the larger cities of West Java, whereas schools with lower accessibility are documented far from these urban areas. In particular, senior high school accessibility is predominant in areas of lower accessibility levels, as there are comparatively fewer facilities available in West Java. Overall, higher levels of suitability are spread throughout West Java. These distribution results revealed an expansion of the availability of schools by area: senior high schools, 303,973.1 ha; vocational high schools, 94,170.51 ha; and junior high schools, 12,981.78 ha. Changes in elementary schools (3936.69 ha) were insignificant, as the current number of elementary schools is relatively much higher. This study represents the first to attempt to integrate these four parameters—accessibility, multi natural hazard, biohazard, comfort index, and land value—to determine potential areas for new schools to achieve educational equity targets.

Posyandu is an Indonesian mother-child health, community-based healthcare. The provision of the Posyandu data quality map is crucial for analyzing results but is limited. This research aimed to (a) demonstrate data quality analysis on its completeness, accuracy, and consistency and (b) map the data quality in Indonesia for evaluation and improvement. An observational study was conducted using the Posyandu application. We observed data in Indonesia from 2019 to 2021. Data completeness was identified using children’s visits/year. Data accuracy was analyzed using WHO anthropometry z-score and implausible z-score values analyzing the outliers. Cronbach’s α of variables was used to know data consistency. STATA 15.1 SE and QGIS 3.10 was used to analyze and map the quality. Data completeness and accuracy in three years show a good start for the pilot project area, continued with declines in pandemic time, while some other areas demonstrated a small start, then slightly increased. The overall consistency decreased through the study period. A good report on data completeness can occur initially in a pilot project area, followed by others. Data accuracy and consistency can decrease during the pandemic. The app can be promising when synchronized with the government health information system.

Urban areas tend to have significant temperature differences with the surrounding area. The city of Bandung is surrounded by mountains and forms the Bandung Basin. Land cover differences between Bandung City and surrounding area caused a temperature differences that can identified with remote sensing imagery. The aim of this research are to analyse the change of land surface temperature and the vegetation greenness level in Bandung Basin using Landsat multi-temporal image also to identify correlation between surface temperature change with greenness level in Bandung Basin. In Bandung Basin, there is an increase in temperature in various land covers (Vegetation in flat areas, Vegetation in steep and high altitude areas, Water, Built-up area, and Open Land area) from 1990-2018. Meanwhile, there is less green vegetation in Bandung Basin from 1990-2018. The results of the analysis show a better correlation between Land Surface Tempertare (LST) and Simple Ratio Index (SRI) than the correlation between Land Surface Tempertare (LST) and Normalized Difference Vegetation Index (NDVI). The conclution of this research that preservation of vegetated areas can be done in Bandung Basin to address the increasing of Land Surface Temperature.

Pemanfaatan Citra Landsat 8 Untuk Identifikasi Sebaran Kerapatan Vegetasi di Pangandaran

Sustainable development and the goals that have been set by the UN are the results of mutual agreement on various pressing issues that must be addressed by our society. Along with the pandemic conditions that hit various parts of the world, the challenges for the realization of sustainable development are getting higher. Geospatial technology offers reliable tools to support the various processes and stages of planning, analysis, problem-solving, decision making, and process management necessary to pursue this common goal. GIScience has a very important role in investigating opportunities to help solve sustainable development problems. This study presents the state of the art of how GIScience plays a role to achieve sustainable development goals particularly during pandemic covid situations which resulting in a backward for some actors in several countries to achieve these goals. This study uses the content analysis method to analyze various issues related to sustainable development, SDGs, pandemic covid-19, and GIScience. Not only providing state of the art of research, but this paper also presents how actually GIScience can help to accelerate the problems thus the ultimate goal of sustainability can be achieved.

Air quality is a crucial parameter in human life. One air quality indicator can be observed through Aerosol Optical Depth (AOD). If these substances are pollutants such as particulate matter, aerosols, and ozone, it is confident that air quality will deteriorate, threatening human health and causing climate change. AOD monitoring can be used as a basis for policymakers and related parties to maintain the stability of air quality in the atmosphere. Many ground observation stations monitor air quality by obtaining data on PM2.5 and PM10 aerosol particles. However, the number of ground stations is limited, resulting in incomplete data. Fortunately, remote sensing satellites have the advantage of covering large areas and providing continuous observations, with the ability to gather information on large-scale aerosol and obtain spatiotemporal distribution. Therefore, this research aims to obtain AOD through Himawari-8 and analyze the spatiotemporal air quality in urban areas of West Java based on AOD. The research methodology used in this study is descriptive analysis with an empirical research approach. Assisted by remote sensing technology and Geographic Information Systems, this research generates AOD data extraction that can be obtained from the new generation satellite of Himawari-8. The distribution of AOD levels and spatiotemporal monitoring in urban areas of West Java is very dynamic depending on anthropogenic activity in a particular area and time. Keywords: Aerosol Optical Depth (AOD), Air Quality, Himawari-8