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All Journal Jurnal Geosaintek Geoid - Journal of Geodesy and Geomatics
Kaffa, Niswah Selmi
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Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Engineering Environmental Science

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UTILIZING POST PROCESSING KINEMATIC (PPK) UNMANNED AERIAL VEHICLE (UAV) TO ACCELERATE DETAILED LAND MAPPING Wijayanti, Regita Faridatunisa; Kaffa, Niswah Selmi; Kusetiyohadi, Taufik; Sijabat, Hesekiel; Putra, Angga Pratama; Prabawa, Septa Erik; Susilo, Yunus
Jurnal Geosaintek Vol. 9 No. 3 (2023)
Publisher : Institut Teknologi Sepuluh Nopember

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Abstract

The accelerate of land registration is important to solve the land disputes. Start from 2022, BPN utilize UAV to make base maps quickly. One of photo map criteria is high horizontal accuracy of <0.5 meter by using Circular Error 90% (CE90). This research analyzes the effectiveness of PPK method on UAV survey to accelerate detailed land mapping in Indonesia. UAV fixed wing Vertical Takeoff and Landing (VTOL) model with Sony ILCE-6000 camera flown on 9.46 km2 areas, flying on 244 meters, and using 8 Ground Control Points (GCP) in Muktisari Village, Ciamis. First, UAV camera coordinates processed to obtain photo mosaic. Furthermore, geometric correction processed with GCP to obtain orthophoto for each mosaic photo. The UAV without PPK produced CE90: 0.02 meter (RMSE: 0.013 meter), whereas the UAV using PPK produced CE90: 0.008 meter (RMSE: 0.005 meter). According to the CE90 value on UAV showed resulting photo map included in 1:1000 scale aerial photo map in class 1. However, this research showed the UAV using PPK is 2.5 times more accurate. In conclusion, PPK can improve the performance of UAV to increase the photo map geometry accuracy. Hence, UAV using PPK are recommended to accelerate detailed land mapping in Indonesia.
Land Cover Projection of Jember Irrigation Area Using MOLUSCE QGIS Kartikasari, Adelia Nur Isna; Prasojo, Sri Irawan Laras; Robbani, Hilma Wasilah; Kaffa, Niswah Selmi
GEOID Vol. 20 No. 2 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i2.8071

Abstract

Jember Regency has the third largest agricultural area in East Java Province. However, the agricultural area has decreased due to the expansion of built-up areas in line with population growth. This indicates the need for special attention to controlling the expansion of built-up land in Jember Regency. This study focuses on predicting agricultural land loss and the increase in built-up land in Jember Regency. It examines land cover changes in the regency from 2017 to 2021. Sentinel-2 imagery was used to obtain land cover data for Jember Regency in 2017 and 2021. The 2017 and 2021 land cover maps will serve as reference maps to determine the 2025 land cover using the MOLUSCE plugin in QGIS. The obtained 2025 land cover map will be used to validate the model's accuracy by comparing it with the actual 2025 land cover using Kappa Accuracy. This model's Kappa Accuracy is 91%. The validated model will then be used to predict land cover for 2045. The analysis indicates a predicted reduction in agricultural area of 5.675 hectares and a predicted increase in built-up area in irrigated areas of 6.348 hectares during the 2025–2045 period. Over the next 20 years, irrigation areas under the authority of the regency are predicted to experience the highest growth in built-up land, at 46.1%. This is followed by areas under provincial authority, which are predicted to grow by 34.6%, and areas under central authority, which are predicted to grow by 110% of the total agricultural area in Jember Regency. These findings are important for local governments and stakeholders in land management and urban planning. They also contribute to the monitoring of agricultural land use and the development of effective policy strategies.
Simulation of Tidal Inundation along the Northern Coast of Central Java (Pantura) Using GIS-Based Analysis Robbani, Hilma; Kartikasari, Adelia Nur Isna; Pranantya, Vanadani; Kaffa, Niswah Selmi
GEOID Vol. 20 No. 2 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i2.7807

Abstract

The northern coast of Java Island (locally known as Pantura), is a strategically important area, particularly in the distribution sector. However, its topographical characteristics and proximity to the Java Sea make it vulnerable to the threat of tidal inundation. Moreover, environmental factors such as sea level rise, land subsidence, and coastal abrasion—which causes shoreline retreat—further exacerbate the region’s susceptibility to flooding. The rob phenomenon significantly impacts the socio-economic conditions of coastal communities, disrupting daily activities and damaging critical infrastructure such as residential housing and road networks. This study aims to simulate the impact of tidal flooding in terms of inundation depth and spatial extent, using the assumption of the Highest High Water Level (HHWL). The simulation results are intended to serve as an initial reference for the development of coastal flood mitigation strategies. The methodology follows the Technical Guidelines for Disaster Risk Assessment issued by Indonesia’s National Disaster Management Agency (BNPB) and integrates various spatial datasets, including land cover data from Sentinel Land Cover by ESRI, topographic data from the Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM), and maximum tidal height data processed using the Admiralty method. The analysis shows that, assuming a Highest High Water Level of 1.2 meters, Kendal Regency, Brebes Regency, and Semarang City are the most affected areas in terms of both flood depth and extent. The inundated areas are estimated at 3,744.91 hectares in Kendal Regency, 2,880.58 hectares in Brebes Regency, and 513.17 hectares in Semarang City. This situation could become more severe in the event of storm surge, extreme weather, or climate anomalies if timely and effective mitigation measures are not implemented. These findings are expected to provide a strong foundation for policymakers to formulate targeted, data-driven, and sustainable mitigation strategies to protect communities and infrastructure along Java’s northern coastal region.
Co-Authors Angga Pratama Putra, Angga Pratama Kartikasari, Adelia Nur Isna Kusetiyohadi, Taufik Prabawa, Septa Erik Prasojo, Sri Irawan Laras Robbani, Hilma Robbani, Hilma Wasilah Sijabat, Hesekiel Susilo, Yunus Vanadani Pranantya Wijayanti, Regita Faridatunisa