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Using neighborhood association area as new spatial data infrastructure to link public administrative data with GIS in Indonesia Arip, Muriadi; Wanglin, Yan; Hirose, Kazuyo
Communications in Science and Technology Vol 4 No 1 (2019)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1228.911 KB) | DOI: 10.21924/cst.4.1.2019.111

Abstract

Despite its potential use for earth observation and GIS-based analysis, Public Administrative Database (PAD) has been neglected in the spatial big data discussions. For instance, linking unaggregated public databases to the smallest administrative units for mining spatial data currently absents from literatures. In this study, a neighbourhood association base map was developed and the usability as a platform for linking PAD in Indonesia was investigated. The base map is proposed as a new feature in the Indonesia’s SDI. A data model was developed, and data accuracy and reliability were assessed by a case study. Four unaggregated databases obtained from public institutions were examined using common structured query language. The results show that from 1.3 million records, more than 95% can be directly linked to the base map. Finally, it is concluded that despite existence of challenges, linking PAD with the base map is feasible and beneficial for GIS-based analysis.
GEOTHERMAL POTENTIAL IDENTIFICATION BASED ON REMOTE SENSING ANALYSIS IN IJEN GEOTHERMAL FIELD, EAST JAVA Fauzi, Ridwan Nur; Patonah, Aton; Pratiwi, Santi Dwi; Hirose, Kazuyo; Rendra, Pradnya Paramarta Raditya
Bulletin of Scientific Contribution Vol 21, No 2 (2023): Bulletin of Scientific Contribution : GEOLOGY
Publisher : Fakultas Teknik Geologi Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/bsc.v21i2.44688

Abstract

Geothermal is a renewable energy resource that is used for various needs, both as heat energy on a local scale to electricity production on an industrial scale. The search for geothermal resources is difficult and costly, thus a survey method is needed that can facilitate the geothermal exploration stage in a large area coverage.  Remote sensing methods can be an adequate tool to guide investigations of geothermal prospect areas through the elaboration of potential hydrothermal resource maps at the level of profitable potential zones for exploitation. The purpose of this study is to identify areas that support geothermal exploration and exploitation in the Ijen Mountains area, East Java. The method used includes processing OLI (Operational Land Imager) and TIRS (Thermal Infrared Sensor) sensor images from the Landsat-8 satellite to obtain the distribution of hydrothermal alteration zones and surface temperature anomalies. Identification of permeable zones based on fracture density in the study area was also carried out by analyzing Digital Elevation Model (DEM) data to obtain the topographical features of the study area. The results of the study show that there is a correlation between the parameters used in several areas which are then interpreted as geothermal prospect zones. The moderate to high prospect zone was found to be associated with most of the known presence of geothermal manifestations.