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Journal : REKAYASA

The Effect of Sunglint Correction for Estimating Water Depth Using Rationing, Thresholding, and Mean Value Algorithms Prayogo, Luhur Moekti; Basith, Abdul
Rekayasa Vol 14, No 1: April 2021
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v14i1.8698

Abstract

Satellite-Derived Bathymetry (SDB) is an alternative for obtaining shallow water depth data. The existence of images with various resolutions, the availability of a complete image band can develop the extraction results. This method is based on the principle of the satellite's visible band to estimate water depth. The mapping of shallow water depth is dependent on water conditions, both its brightness and surface. When the sensor senses a water object, the reflected reflection comes from the surface, and some sensors cannot penetrate the water object. The sun's position and the sensor's point of view when sensing it results in interference from the water surface (Sunglint). The sunglint effect on the image can be reduced by performing RGB band correction with NIR Infrared. This study aims to demonstrate the effect of Sunglint's correction on three SDB approaches, namely Thresholding, Rationing, and Mean Value on Worldview 3 imagery in Karimunjawa Islands, Central Java. This study's results indicate that the Sunglint correction on Worldview 3 imagery affects the depth extraction results. The best results are shown by Sunglint's correction using the Thresholding approach (B2-B7), which produces the best correlation with R2 of 0.7364 and (B7-B2) with R2 = 0.7351. Contrastingly, the lowest correlation was generated using the Mean Value ((B2 + B7) / 2) approach without Sunglint's correction with R2 = 0.4015. So this research proves that the Worldview 3 image with Sunglint correction can provide bathymetry data, especially in shallow waters.
Perbandingan Metode Roberts’ Filter, Segmentasi dan Band Ratio Pada Citra Landsat 8 untuk Analisis Garis Pantai Prayogo, Luhur Moekti; Basith, Abdul
Rekayasa Vol 14, No 3: Desember 2021
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v14i3.10300

Abstract

Computerization has an essential role in the field of remote sensing. Various methods for automatic coastline analysis continue to develop. This study aims to determine the performance of three methods, namely Roberts' Filter, Segmentation, and Band Ratio on Landsat 8 imagery, in producing land edges that are directly adjacent to the sea area (coastline). This study shows that the non-fusion image, the resulting edge, is less sharp than the fused image in the Roberts' filter method. The use of a 2x2 matrix on the Roberts' filter, the range of values from 0.52 to 0.56 in the segmentation method, and the Green Band Ratio - Near-Infrared produce various accuracy. The best method is produced by Band Ratio, where the edge detection results are close to the image's actual conditions. Meanwhile, unsatisfactory results are produced by the segmentation method.
Pengukuran Topografi Ketinggian: Studi Kasus Menggunakan Metode Real-Time Kinematic (RTK) GPS Geodetik R6 Prayogo, Luhur Moekti; Muhsoni, Firman Farid
Rekayasa Vol 17, No 3: Desember, 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v17i3.27337

Abstract

Large-scale topographic information is often difficult to obtain accurately. Technological advances in the field of surveying provide sophisticated instruments with varying degrees of accuracy. One of the widely used instruments is the Global Positioning System (GPS) Geodetic R6, which has an accuracy of up to 5-10 mm and the ability to capture L1 and L2 signals. This research aims to conduct altitude topography mapping using GPS Geodetic R6 in the coastal area of Kamal, Bangkalan Regency, Madura. The method used is Real-Time Kinematic (RTK) with a configuration of two base stations. The first base is located at Trunojoyo University Park Madura (coordinates: S 7°07'44.99587“, E 112°43'23.81230”, elevation: 6.81 meters), while the second base is located in front of Jalan Raya Telang Church (coordinates: S 7°07'46.65292“, E 112°42'46.91250”, elevation: 3.40 meters). The measurement results show that the average elevation in Telang Village, Kamal District, ranges from 3.29 to 7.89 meters with a Root Mean Square Error (RMSE) of 3.65. This research confirms that the R6 Geodetic GPS has high accuracy capabilities in topographic measurements, making it very reliable for precision mapping of coastal areas. This finding makes a significant contribution in supporting various development and mitigation needs in coastal areas.
Pengembangan Aplikasi Webgis Perutean Menggunakan Teknologi Geographic Information System (GIS) Open Source Widyantoro, Bimo Aji; Prayogo, Luhur Moekti
Rekayasa Vol 16, No 3: Desember 2023
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v16i3.22542

Abstract

Information technology has now become an important part of spatial data management for sustainable geopsasial information planning and development. This research aims to develop webgis routing applications using open source GIS technology capable of providing dynamic routing systems, completing effective routing, and displaying route search results. The system is built with Client-Server architecture design consisting of QGIS as GIS software, OSM as open spatial data provider, HTML, CSS, Javascript as basic programming language, Leaflet, Boostrap, and JQuery as mapping library, XAMPP as Server, PostgreSQL/PostGIS as spatial database management system, Dijkstra as route engine library and PHP as REST API for Web Development Backend. The results showed that the routing WebGIS application was able to run well in finding routes based on the Point of Interest (POI) entered and be able to display the results of alternative routes when there were road closures. Based on the results of the study, the conclusion is the use of open source technology is able to produce a dynamic routing, can be modified, easy in maintenance, and many library options for web mapping.
Evaluasi Kesehatan Ekosistem Mangrove Menggunakan Indeks MHI (Mangrove Health Indeks) serta Identifikasi Spesies Dominan di Pesisir Tuban dan Lamongan Prayogo, Luhur Moekti; Sudianto, Achmad
Rekayasa Vol 18, No 3: Desember, 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v18i3.30475

Abstract

Mangrove ecosystems play a vital role in protecting coastlines, sequestering carbon, and sustaining coastal biodiversity. However, various pressures such as land conversion, abrasion, and human activities are causing degradation in these ecosystems. This study aims to assess the health condition of mangroves in Tuban and Lamongan Regencies through an integrative approach based on Mangrove Health Index (MHI), Normalized Difference Vegetation Index (NDVI) from Sentinel-2A images, and field data. The results of the study showed that the total area of mangroves in the two regions reached 178.88 hectares, with the dominance of medium density (56.47%) and high density (80.37%) which described relatively healthy vegetation conditions. Lamongan Regency recorded higher species diversity (10 types) than Tuban (7 types). The species found include Rhizophora mucronata, R. apiculata, R. stylosa, Avicennia marina, A. officinalis, A. alba, Bruguiera gymnorrhiza, Ceriops tagal, Aegiceras corniculatum, and Sonneratia alba. NDVI analysis showed a positive correlation with MHI, with the eastern Lamongan area and central Tuban as healthy mangrove zones. These findings reinforce the relevance of the use of remote sensing data in coastal ecosystem mapping, but still require field validation for ecological accuracy. This study recommends the integration of spatial approaches with community-based rehabilitation policies to strengthen the sustainability of mangrove management.