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Shanis Irsamayanti
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Journal of Marine-Earth Science and Technology
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : -     EISSN : 27745449     DOI : https://doi.org/10.12962/j27745449
Core Subject : Science,
Earth & Planetary Sciences Energy
In the fast-growing of science and technology of marine-earth related topics, we would like to launch a new international journal entitled MarineEarth Science and Technology Journal (JMEST). This journal is aimed as a media communication amongst scientists and engineers in the fields of marine and earth science and technology and will receive research and technical papers to be reviewed by our editors and reviewers. The JMEST issued three times a year and each issue consists of 5 (five) papers. The scope of the journal includes (but not limited to): Geology, Geophysics, Geochemistry, Atmospheric Science, Environmental Science, Hydrology, Geothermal, Marine Engineering, Marine Technology, Underwater Technology, Marine Renewable Energy
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Teknik Geologi dan Geologi Teknik
Articles 5 Documents
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Search results for , issue "Vol. 2 No. 3 (2021): December" : 5 Documents clear
ANALYSIS OF FLOOD DISASTER AREAS, JOMBANG REGENCY, EAST JAVA USING ARCGIS REMOTE SENSING Iswandaru, Yoga Satria Iswandaru; Widodo, Amien; Singgih Purwanto , Moh.
Journal of Marine-Earth Science and Technology Vol. 2 No. 3 (2021): December
Publisher : Marine & Earth Science and Technology Research Center, DRPM, ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27745449.v2i3.100

Abstract

Flood is one of the natural disasters that occur in Indonesia. Each region in Indonesia has a different flood hazard level. Therefore, a study was conducted to map the level of flood hazard in Jombang Regency, East Java. Remote sensing methods are used to map flood-prone areas, ArcMap software is used to map disaster-prone areas and mapping vegetation density. The data required is in the form of flood data index from Inarisk and Landsat 8 imagery data from USGS. From these data, four maps were generated, namely the vegetation density map and the flood hazard map in the Jombang area. From the vegetation density map, it can be seen from the value it determines the level of vegetation density in the area, while the flood hazard map is categorized into three hazard categories, namely low, medium and high. And it was found that the lower the level of vegetation density, the higher the level of flood hazard in the area, and vice versa and it is also known that the Brantas river affects flooding in Jombang. Then seen from the regional geology, the area of North Jombang absorbs air more quickly because it is composed of karst rocks. Judging from the area of the flood hazard level, the Jombang area is more dominant to the moderate hazard level.
THE FIXED BAFFLE EFFECT ANALYSIS TO FILLING TANKS VARIATION ON THE STABILITY OF 4999 DWT TANKERS Yudo, Hartono; Amiruddin, Wilma; Guna Satriananta, Mahendra; Putra Nur Hidayat, Wahyu
Journal of Marine-Earth Science and Technology Vol. 2 No. 3 (2021): December
Publisher : Marine & Earth Science and Technology Research Center, DRPM, ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27745449.v2i3.163

Abstract

The tanker is transportation to distribute the results of oil and gas exploration, where most of the exploration results come from the ocean. In this study, an analysis of the effect of adding fixed baffles with a certain number of baffles on the stability of the tanker will be carried out. The method in this study is to analyze the data of 4999 DWT tankers using Maxsurf Stability Software. The simulation was carried out in 4 percentage variations, namely 30%, 40%, 70%, and 90%, with full baffle installation in each tank. After calculating the stability analysis on the 4999 DWT tanker, it was found that the model I tank (without baffles) did not meet IMO standards. While the model II tank (1 fixed baffle), model III tank (2 fixed baffles), and model IV tank (3 fixed baffles) on various fillings have met IMO standards. Where the tank model IV (3 fixed baffles) has the best stability value with a GZ value of 1.881 m at 30% filling, 1.602 m at 50% filling, 1.051 m at 70% filling, and 0.706 m at 90% filling. It was concluded that the addition of a fixed baffle to the tank was effective in increasing the stability of the tanker.
NUMERICAL ANALYSIS SEAKEEPING AND MOTION SICKNESS INCIDENCE (MSI) ON HOSPITAL SHIPS BY ADDING FINS STABILIZER Yasin, M; Ariani, Betty; Chandra Ariesta, Riski
Journal of Marine-Earth Science and Technology Vol. 2 No. 3 (2021): December
Publisher : Marine & Earth Science and Technology Research Center, DRPM, ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27745449.v2i3.278

Abstract

The development in maritime technology to improve ship performance and operations are growing and diverse. One of the developments carried out is the addition of fin stabilizers to improve ship safety as support for comfort and ships. This research analyzes the effect of variations in the shape of the fin stabilizer on the seakeeping and Comfort Index for Hospital Ships using Maxsurf Modeler software. The parameters used in this research are fins stabilizer Gemini 30, Gemini 50, and modular NR 30. While the variation of ship speed 0, 14, and 18 knots. The direction of the arrival of waves 0, 45, 90, 135, and 180 degrees. Based on data analysis carried out on ship motion, the NR 30 type fin stabilizer is far superior to the others with a maximum value of 4.04- degree roll movement, 0.543- degree pitch movement, and 0.4116 heave acceleration movement. Type NR 30 also has the best comfort on the moderate Motion Sickness Incidence (MSI) Criteria.
LOW-COST LIDAR TLS-100 COMPARISON WITH LIDAR IPAD PRO FOR 3D MAPPING Budisusanto, Yanto; Rizki Ubaidillah, Muchammad; Nur Cahyadi, Mokhamad; Wahyu Imani, Daud; Wahyudi Farid, Imam
Journal of Marine-Earth Science and Technology Vol. 2 No. 3 (2021): December
Publisher : Marine & Earth Science and Technology Research Center, DRPM, ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27745449.v2i3.430

Abstract

Currently, creating a 3D model of an object has undergone relatively rapid development, especially in technology. Several technologies that can be used to create 3D models are total stations, LiDAR, UAVs, terrestrial laser scanners, and various other products. There are also various methods for obtaining 3D models, such as aerial photogrammetry, close-range photogrammetry, terrestrial, and satellites. This study focuses on comparing the TLS-100 from aerial portraits with the iPad Pro LiDAR product from Apple Inc. The results to be analyzed are the resulting data format, the speed of data retrieval, the quality of the data obtained, and statistical analysis. This study is expected to assist in proving the quality of low-cost LiDAR and iPad Pro LiDAR products.
LAND VALUE PREDICTION MODEL IN THE URBAN FRINGE REGION USING MULTIPLE REGRESSION ALGORITHM Dwi Kisworini, Ita
Journal of Marine-Earth Science and Technology Vol. 2 No. 3 (2021): December
Publisher : Marine & Earth Science and Technology Research Center, DRPM, ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27745449.v2i3.442

Abstract

The existence of land has become a dream. The value continues to soar over the years, making the land become something that various parties highly desire. This phenomenon causes the demand for land also to continue to increase. This study aims to predict land values based on actual land prices in the field in the form of transaction results and bid prices with a statistical approach for mass valuation in the urban fringe area, where this area is considered an alternative area to overcome the need for housing which is getting higher and higher. Land value is estimated using a data comparison approach market and added to the cost of building construction. Multiple regression is one of the methods to get the best estimation model from big data. The magnitude of the contribution of the influence of the variables making up the Land Value can be known through the coefficient of determination (R2), which is 82.5%. Many factors affect the Land Value, such as Bid Price, Physical Land Factors, Environmental Factors, and Legal Aspects.

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