cover
Contact Name
Muhammad Aldila Syariz
Contact Email
aldilasyariz@its.ac.id
Phone
+6282131726693
Journal Mail Official
aldilasyariz@its.ac.id
Editorial Address
Geomatics Engineering's Building, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
Location
Kota surabaya,
Jawa timur
INDONESIA
Geoid - Journal of Geodesy and Geomatics
ISSN : 18582281     EISSN : 24423998     DOI : https://doi.org/10.12962/geoid.v20i1
General topics of interest include: - Geodesy and geomatics development theory - Geodesy and geomatics applications - Natural Disaster - Land and Ocean Development - Natural Resources - Environment - Science and technology in Mapping and Surveying - Earth Sciences A further issue related to geodesy and geomatics engineering such as: - Optical Remote Sensing and Radar Remote Sensing - Cadastre and 3D Modeling - Geodynamics theory and application - Geospatial - Land Surveying - Geomarine - Photogrammetry
Articles 14 Documents
Search results for , issue "Vol. 15 No. 2 (2020)" : 14 Documents clear
OPTIMASI PENGGUNAAN SEDIMENT TRAP PADA ALUR PELAYARAN BARAT SURABAYA MENGGUNAKAN PEMODELAN TRANSPOR SEDIMEN (STUDI KASUS: ALUR PELAYARAN BARAT SURABAYA, JAWA TIMUR) Pratomo, Danar Guruh; Aziz, Muhammad Rinaldi Fauzan
GEOID Vol. 15 No. 2 (2020)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v15i2.1656

Abstract

Tanjung Perak Port is one of the largest ports in Indonesia that is quite strategic for economic development and sea transportation. The handling of shipping lanes is needed so that ship traffic remains stable. The research location in Alur Pelayaran Barat Surabaya with 3 different conditions namely Pre-Survey, Post-Survey condition 1 has a sediment trap and Post-Survey condition 2 has no sediment trap. Research uses 3D modeling to see hydrodynamic activity. The results of modeling are current patterns, which will influence the pattern of sediment distribution in the study area. The model is formed based on the parameters of tides, river discharge, and wind in the study area. Tidal Pre-Survey has a value of RMSE and MAE of 0.0307 meters and 0.0244 meters with a current of 0.3 m/s. Post-Survey condition 1 has a value of 0.0336 meters and 0.0276 meters with a current of 0.2 m/s. Post-Survey condition 2 has a value of 0.0563 meters and 0.0289 meters with a current of 0.4 m/s. The pattern of sediment distribution between Post-Survey conditions 1 and condition 2 has the same dominant value starting from -0.005 meters to 0.0175 meters. Maximum value of condition 1 is 0.072 meters while condition 2 is 0.062 meters in sediment trap area. Even though condition 1 has a maximum value greater than condition 2, it occurs at just a few points.
ANALISIS PEMODELAN 3 DIMENSI BANGUNAN BERSEJARAH MENGGUNAKAN FOTOGRAMETRI JARAK DEKAT (STUDI KASUS: MAUSOLEUM DINGER, JAWA TIMUR) Falahesa, Dean Ahmed; Cahyono, Agung Budi; Hidayat, Husnul
GEOID Vol. 15 No. 2 (2020)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v15i2.1657

Abstract

The Dinger Mausoleum is a tomb with a Dutch architectural style that was used to store the body of a Dutch national named Jan Dinger and has been designated as a cultural heritage building by the Batu City Government. This tomb with its status as a cultural heritage must be tried to preserve and preserve its original form in accordance with Law No. 11 of 2010 concerning Cultural Heritage. In this study, conservation efforts were carried out by documenting the tomb in the form of a 3D reconstruction model. Documentation activities are carried out by acquiring data and creating 3D models from Dinger Mausoleums both from the outside (exterior) and from inside (interior) considering that the tomb is in the form of a building which means it has space inside, using close-range photogrammetric methods. The 3D model that has been formed is then analyzed for the level of accuracy of the data acquisition and tomb modeling process. An analysis of the level of suitability in the 4th order class (LoD4) is also carried out because 3D modeling includes the interior of the tomb building. The results of the data acquisition took the form of exterior photos and photos of the interior of the Dinger Mausoleum, and the results of the analysis of the RMSE values were less than 0.2 m, thus fulfilling the Level of Detail 4 criteria (LOD 4).
PEMETAAN POTENSI PENANGKAPAN IKAN MENGGUNAKAN METODE SINGLE IMAGE (STUDI KASUS: PERAIRAN SELATAN JAWA) Rahmadani, Nur Aina Rizki; Jaelani , Lalu Muhamad
GEOID Vol. 15 No. 2 (2020)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v15i2.1658

Abstract

Fishing Potential (PPI) is needed to increase fisheries productivity. Traditionally, fishermen use their senses and hereditary habits to determine PPI. Traditionally, fishermen use the five senses and hereditary habits to determine PPI. This method, in addition to being less efficient, can also lead to over-exploitation if fishing is carried out in the same place continuously. The existence of remote sensing technology can be used to determine PPI faster while considering aspects of approval and spatial distribution. One method of determining PPI is based on remote sensing data, mapping the thermal front area first before determining the PPI through manual interpretation based on pixel located between warm and cold water. Manual interpretation has limitations, it depends on humans and takes a long time. To overcome these limitations, in this study, the Single Image Edge Detection (SIED) method developed by Cayulla and Cornillon was applied in the form of a toolbox thus it could be used automatically. Sea Surface Temperature (SPL) data obtained from MODIS Level 2 (6 April 2018) was subsequently processed using this toolbox and successfully developed 22 PPI points in the southern part of Java Island. Meanwhile, PPI detection using the Temperature Gradient Analysis (TGA) method which is done manually produces 28 points. There are 20 locations of the same point using these two methods. Using the SIED method based on the toolbox can improve data, reduce human error with accuracy 64%.
PEMETAAN DAERAH POTENSI LONGSOR DI KABUPATEN TRENGGALEK MENGGUNAKAN DATA CITRA SATELIT MULTI-TEMPORAL Maulana, Bustam Fiqor; Taufik, Muhammad
GEOID Vol. 15 No. 2 (2020)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v15i2.1659

Abstract

The use of three satellite imagery data at the same location and different time are 2003, 2013 and 2018, resulting in three potential maps of landslide with different time series of 2003, 2013, and 2018.. Map of potential landslides generated classified in three classes of potential landslide levels. The result of a potential landslide map indicates there is a difference in potential level classes. In the span of years 2003 to 2013 there was a total change in the class of potential levels of 10082.25 hectares of the total area of Trenggalek Regency. From 2013 to 2018 there were a change of 14882.77 hectares. Calculation of correlation between land cover area change with potential landslide change is equal + 1. This value indicates a very strong positive correlation between changes in the area of landslide potential with the change in land cover. The use of three satellite imagery data at the same location and different time are 2003, 2013 and 2018, resulting in three potential maps of landslide with different time series of 2003, 2013, and 2018.. Map of potential landslides generated classified in three classes of potential landslide levels. The result of a potential landslide map indicates there is a difference in potential level classes. In the span of years 2003 to 2013 there was a total change in the class of potential levels of 10082.25 hectares of the total area of Trenggalek Regency. From 2013 to 2018 there were a change of 14882.77 hectares. Calculation of correlation between land cover area change with potential landslide change is equal + 1. This value indicates a very strong positive correlation between changes in the area of landslide potential with the change in land cover.

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