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INDONESIA
Journal of Applied Geospatial Information
Published by Politeknik Negeri Batam
ISSN : -     EISSN : 25793608     DOI : -
Core Subject : Science, Social, Engineering,
Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Engineering Environmental Science Physics
Journal of Applied Geospatial Information (JAGI) is a national and international peer review journal published by Politeknik Negeri Batam. The JAGI is issued 2 times a year in electronic form, publishes Original Research Articles (full papers and short communications) and Review (full and mini reviews) in all aspects of result research in the field of science/engineering: terrestrial and marine (geomatics, geophysics, geography, geology, geographic information systems, remote sensing, cartography, oceanography, hydrography, marine science and technology).
Arjuna Subject : -
Articles 195 Documents
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Tidal Phenomena and GPS-Based Monitoring System for Sea Level Measurement Harahap, Basyaruddin Ismail; Kusuma, Hollanda Arief; Gultom, Indri Hapsari Raharja
Journal of Applied Geospatial Information Vol. 9 No. 1 (2025): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v9i1.9234

Abstract

Measuring sea surface height in open waters is very important for understanding tidal patterns and ocean wave dynamics. Most of the instruments currently used are based on pressure or acoustic sensors and are generally placed on the coast, making them less effective for measurements in open waters. This research develops a sea surface height measurement system based on the U-Blox NEO-8M GPS, which is placed on a buoy to obtain real-time elevation data. This system consists of an Arduino Mega 2560, a GPS U-Blox NEO-8M, and a Micro SD storage module. The measurement data were analyzed using the Fourier method to identify the main components constituting the sea surface height. The test results show a Mean Tide Level (MTL) of 4.27 m, a High-Water Level (HWL) of 11.30 m, and a Low Water Level (LWL) of -6.90 m. Fourier analysis revealed eight main components that make up the sea surface height pattern, with the dominant component having a wave period of 4.29 hours and an amplitude of 6 m. The comparison between the measured data and the Fourier model resulted in an average difference of 1.0798 m, likely caused by the influence of satellite signals, multipath, and atmospheric conditions. The results of this study indicate that the GPS NEO-8M can be used as an alternative for monitoring sea surface height in open waters, although it still requires accuracy improvement through signal correction techniques and more precise geoid references.
Forest and Land Fire Disaster Risk Assessment Using Geographic Information Systems in Arut Selatan District, West Kotawaringin Regency, Central Kalimantan Province Prakoso, Tara Adi; Wiyono, Retno Utami Agung; Halik, Gusfan
Journal of Applied Geospatial Information Vol. 9 No. 1 (2025): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v9i1.9489

Abstract

Kotawaringin Barat Regency, Central Kalimantan Province, has six sub-districts, namely Kumai District, Arut Selatan District, Arut Utara District, Pangkalan Lada District, Pangkalan Banteng District, and Kotawaringin Lama District, all of which are areas prone to natural disasters. One of them is forest and land fires. In recent years, there have been many forest and land fires in the Kotawaringin Barat Regency area. Starting in 2022, there were around 75 forest and land fires; in 2023, there were around 201 incidents; and in 2024, there were around 36 incidents, all of which were in the Arut Selatan District and Kumai District. With the occurrence of forest and land fires, most of them in the two sub-districts, namely Kumai and Arut Selatan Districts, this study took the location of Arut Selatan District. The assessment of forest and land fire disaster risks uses spatial analysis methods. To find the weight of hazard, vulnerability, and capacity using secondary data processed with the formula according to the Regulation of the Head of BNPB Number 2 of 2012 concerning disaster risk assessment using the Excel application. The results of the assessment of the risk of forest and land fires in the South are dominated by high classifications of 9 villages/sub-districts with a percentage of 83.8% of the total area. While for the moderate classification of 5 villages/sub-districts with a percentage of 2.7% of the total area and moderate classification of 6 villages/sub-districts with a percentage of 13.5% of the total area. With the high risk of forest and land fires because the percentage of hazards and vulnerabilities is still high and the percentage of capacity is still classified as moderate. For this reason, it is necessary to increase capacity in dealing with forest and land fires to reduce the risk of forest and land fires that occur.
Optimization of Spatial Disaster Profile Database for Spatial Disaster Risk Analysis Haviz, Diagy Muhammad; Setyadji, Bambang; Virtriana, Riantini
Journal of Applied Geospatial Information Vol. 9 No. 2 (2025): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v9i2.11266

Abstract

This study developed a dynamic, web-based integrated spatial disaster profile database system that is highly vulnerable to various types of natural hazards, using Lebak Regency as a case study. The reference for each profile displayed is the Indonesian Disaster Risk (RBI). The output of this study is a web performance overview consisting of an interactive HTML-based frontend integrated with the backend spatial data management using MongoDB, Python, and JavaScript. This system provides district-level statistical summaries, visualizations with thematic classifications, and an automatic update feature via API simulation. In addition, this system integrates spatial and non-spatial data. Based on the evaluation, this system improves the effectiveness of data collection and utilization, supports evidence-based decision making, and strengthens cross-sector collaboration. The use of a non-relational database architecture optimized for dynamic spatial data with synchronous updates and web-based distribution is a major innovation with the hope of creating a standardized and adaptive disaster information system that can be replicated in other regions with similar risks.
Flood Vulnerability Using Multi-Criteria Analysis in West Jakarta Muhamad Ikhsan; Purnama Budi Santosa
Journal of Applied Geospatial Information Vol. 9 No. 2 (2025): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v9i2.11735

Abstract

The Special Capital Region of Jakarta, located on the north coast of Java Island, is a low-lying sedimentary area crossed by 13 rivers, making it highly vulnerable to flooding from river overflows and sea level rise intensified by climate change. Flooding has been a persistent issue since the Dutch colonial era, driven by rapid urban growth, inadequate development management, the emergence of slums, and poor water resource management. Major floods occurred in 2002 and 2007, and annual floods continued until 2020. Several key factors contribute to flooding, including slope, rainfall, and land cover, while in West Jakarta the problem is further exacerbated by land subsidence and sea level rise. To address this, a flood vulnerability analysis was carried out using a GIS-based multi-criteria analysis approach. Unlike the BNPB reference, which considers only slope, rainfall, and land cover, this study incorporated six parameters: land cover, rainfall, drainage density, slope, land subsidence, and sea level rise. Each parameter was weighted based on its contribution to flooding risk, and spatial data were processed through overlay and reclassification to produce a flood vulnerability map. The results categorize West Jakarta into four classes: Not Vulnerable, Slightly Vulnerable, Vulnerable, and Highly Vulnerable. The majority of the area falls into Not Vulnerable (39.62%) and Slightly Vulnerable (36.30%), while only Kembangan District is dominated by the Highly Vulnerable category. Validation was conducted by comparing the vulnerability map with historical flood data from 2016 to 2023. The comparison shows a strong positive correlation between mapped vulnerability levels and the frequency of actual flood events. This alignment confirms the validity of the method and highlights its value for improving flood risk management and mitigation planning in West Jakarta.
Design of a Web-Based Geographic Information System for Mapping Coastal Areas and Fishermen's Activities on Bintan Island Magfira, Fortia; Kartika , Indah; Pertiwi, Marisha; Mardhiyah Ramdhani, Nida
Journal of Applied Geospatial Information Vol. 9 No. 2 (2025): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v9i2.11882

Abstract

Coastal ecosystems and small-scale fisheries in Pengudang Village, Bintan, play an essential role in supporting local livelihoods. However, integrated spatial information on benthic habitats, mangroves, and fishing activities remains limited. This study aims to map coastal ecological conditions and fishing grounds while developing an accessible Web-GIS system to support coastal management. A descriptive qualitative approach was employed. Sentinel-2 Level 2A imagery was analyzed using Maximum Likelihood Classification, supported by field surveys, ground truthing, and interviews with 20 active fishers. Mangrove density was assessed using NDVI analysis. Spatial data, combined with fishers’ activity information, were integrated into a Web-GIS developed using the SDLC Waterfall method. The classification generated four dominant benthic habitat classes including seagrass, sand, mixed substrate, and dead coral with algae. NDVI indicated varying mangrove density levels from low to very high. Fishing grounds were concentrated in shallow waters with seagrass and mixed substrates. Fishers predominantly used kelong and bubu, producing 5–20 kg catch per trip. The developed Web-GIS provides interactive maps, layer selection, and spatial search features. The system enhances accessibility to coastal spatial data and supports evidence-based decision-making for sustainable coastal resource management in Pengudang Village.

Page 20 of 20 | Total Record : 195

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