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Contact Name
Shanis Irsamayanti
Contact Email
shairsaa@gmail.com
Phone
+6282257213649
Journal Mail Official
journal.jmest@outlook.com
Editorial Address
Griyashanta A-37 RT 01 RW 12 Kel.Mojolangu Kec.Lowokwaru Malang
Location
Kota surabaya,
Jawa timur
INDONESIA
Journal of Marine-Earth Science and Technology
ISSN : -     EISSN : 27745449     DOI : https://doi.org/10.12962/j27745449
Core Subject : Science,
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
Articles 40 Documents
ANALYSIS OF FLOOD HAZARDS IN MAGETAN REGENCY USINGDISTANCE SENSING METHOD Zahrotin Jamilah; Amien Widodo; Moh Singgih Purwanto
Journal of Marine-Earth Science and Technology Vol. 2 No. 2 (2021): September
Publisher : Marine & Earth Science and Technology Research Center, DRPM, ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1406.196 KB) | DOI: 10.12962/j27745449.v2i2.60

Abstract

Flood is an annual disaster that hits all over Indonesia, and Magetan Regency is one of the affected area . The high regional topography in the western part and the relatively flat topography in the eastern part making it potential for flood to be higher in the eastern part. The DEM (Digital Elevation Model) topography, Landsat maps, and hazard index maps can be identified by remote sensing using regional administration map data, the level of slope slope and vegetation density can be mapped using NDVI method, and the classification of the flood risk level of an area can be done using ArcGIS software. The slope of the slope and the density of vegetation will affect the level of potential flood hazard. There is a low level of potential for flooding on steep slopes because the air will flow and accumulate on the lower plains. Higher vegetation density will provide a good air catchment area. The level of vegetation density is also higher in the western part. Based on the percentage of the affected area, the low flood hazard level reaches 73.3%, so it can be concluded that the flood hazard level in Magetan Regency is low. It is necessary to provide adequate land and channels capable of providing air flow.
MAPPING TSUNAMI HAZARD LEVELS IN PACITAN BEACH USING REMOTE SENSING METHODS Zahrotin Jamilah; Amien Widodo; Nita Ariyanti
Journal of Marine-Earth Science and Technology Vol. 2 No. 1 (2021): April
Publisher : Marine & Earth Science and Technology Research Center, DRPM, ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1455.937 KB) | DOI: 10.12962/j27745449.v2i1.64

Abstract

Pacitan Regency is one of the tourist destinations in East Java due to the beauty of tourism from the caves to the beaches that stretch along the southern part of Pacitan. Apart from tourism potential, Pacitan Regency, which borders the Indian Ocean in the south, has the potential to be hit by a tsunami wave that occurs due to the collision of the Eurasian and Indo-Australian plates. By using a remote sensing method, it can be seen how the tsunami hazard level of an area is based on the parameters of the slope, the height of the area, and the distance from the coastline. In addition, the level of exposure of the population is also a factor in determining the level of tsunami hazard. In Pacitan Regency, the area affected by the low level tsunami reached 33753 Hectare, the medium level was 13498 Hectare, and the high level was 3828 Hectare. Areas with a high level of danger are located along the coast which extends in the southern part of Pacitan Regency. The area with the highest level of danger with a wider coverage is around Pacitan Bay. Therefore, it is necessary to have an appropriate mitigation system in reducing the risk of tsunamis, especially around the coast which is used as a tourist destination.
ZONING PRONE TO LANDSLIDES THROUGH 3D VISUALIZATION USING GEO CAMERA APPLICATION IN CIKUYA VILLAGE, CULAMEGA DISTRICT, TASIKMALAYA REGENCY Siti Nur Aisah; Vinki Ari Lesmana
Journal of Marine-Earth Science and Technology Vol. 2 No. 1 (2021): April
Publisher : Marine & Earth Science and Technology Research Center, DRPM, ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1588.556 KB) | DOI: 10.12962/j27745449.v2i1.68

Abstract

Cikuya Village Culamega District Tasikmalaya District, West Java, landslide prone areas that cause material losses and fatalities. The landslide occurred because Cikuya Village is located in the South Mountain Zone with hilly morphology so that it has a steep slope. Other characteristics cause landslides due to high rainfall intensity, geological conditions, soil types, and land use that are not in accordance with the carrying capacity of the environment. Prevention efforts that can be done by measuring the characteristics of landslide prone and 3D visualization zoning maps using map overlays to produce zoning maps and land suitability using ArcGis 10.5 software and Geo Camera applications The results of this study show the characteristics that cause landslides are high rainfall intensity ranging from 2,203 - 3,054 mm / year, Steep slopes range from 8° - 40°, geological conditions (types of rocks) are divided into two types, namely sedimentary rocks and volcanic rocks, podsolic yellow red soil types that are not good in water escape, as well as land use that is not in accordance with the conditions and carrying capacity of the region. The results of the analysis of assessment, weighting and overlay zoning of disaster-prone areas are divided into three "non-prone" hazardous landslide zones with an area of 7,597 hectares, a "prone" zone with an area of 1,972,147 hectares, and a "very vulnerable" landslide vulnerability zone with an area of 256,968 hectares. Further analysis is that land suitability is divided into three "appropriate" zones with an area of 1,057,391 Hectares, "somewhat appropriate" with an area of 1,080,373 Hectares, and "incompatible" with an area of 98,948 Hectares. It is expected that the results of this study can be a reference for the community in recognizing landslide-prone zone areas in Cikuya Village, Culamega Subdistrict, Tasikmalaya Regency.
IMPROVED PROPELLER EFFICIENCY OF A FERRY SHIP WITH ASYMMETRIC PRE-SWIRL STATOR Andi Haris Muhammad; Muhammad Iqbal Nikmatullah; Ummi Kalsum AL
Journal of Marine-Earth Science and Technology Vol. 2 No. 1 (2021): April
Publisher : Marine & Earth Science and Technology Research Center, DRPM, ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1888.178 KB) | DOI: 10.12962/j27745449.v2i1.73

Abstract

The International Maritime Organization (IMO) has introduced the importance of the Energy Efficiency Design Index (EEDI) to anticipate global warming and depletion of fuel oil through the development of an Energy Saving Device (ESD) in ship propulsion systems. Pre-swirl stator is a type of ESD installed in front of the propeller which aims to increase propulsion efficiency by reducing the loss of rotational energy in the propeller flow. The purpose of this study is to determine the effect of the 4 blades pre-swirl asymmetric stator diameter on the improved propeller efficiency of KMP Bontoharu using the Computation Fluid Dynamics (CFD) software (Ansys-CFX 18.1). The results showed that the use of a pre-swirl stator on the propeller of KMP Bontoharu could increase the propeller efficiency by 6.64% at a stator diameter of 1.1 DP.
IDENTIFICATION OF LAND COVER CHANGESFROM LANDSAT 8 OLI SATELLITE IMAGERY USING NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI) METHOD (STUDY CASE: SURABAYA) Syafira Alif Yusroni; Vahira Tri Kemalasari; Dhea Pratama Novian Putra
Journal of Marine-Earth Science and Technology Vol. 2 No. 1 (2021): April
Publisher : Marine & Earth Science and Technology Research Center, DRPM, ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1564.242 KB) | DOI: 10.12962/j27745449.v2i1.74

Abstract

Changes in land use in an urban area, such as Surabaya have a major influence on the balance of nature and the environment of its people. Analysis related to changes in land use from time to time is important to maintain the dynamics of development in Surabaya. The land use identification method in this study utilizes the Normalized Difference Vegetation Index (NDVI) to identify the effect of differences in the spectrum due to vegetation and non-vegetation. Satellite image data is analysed based on the spectrum and the results of the land cover classification have been obtained. From six classes of land cover classification results, it was found that the largest decreasing trend in the area was in class 6, one of which contained urban forest around 13% to 9%. For the trend of increasing area, the largest area occurs in class 5, which includes a land cover of undeveloped land which has the potential for building and infrastructure construction to be carried out around 15% to 19%. Surabaya has a development pattern on the use of vacant land for public and private facilities, which has the potential to reduce the area of an urban forest. Given that the function of forests in urban areas is quite necessary for the stability of air temperature and maintaining the beauty of the city.
OPERATIONAL RISK ASSESSMENT SHIP CONSTRUCTION CAUSES MATERIAL IMPORT USING HOUSE OF RISK (HOR) AND CRITICAL CHAIN PROJECT MANAGEMENT: CASE STUDY IN GRESIK SHIPYARD INDUSTRY Minto Basuki; Oka Hildawan Mahendra
Journal of Marine-Earth Science and Technology Vol. 2 No. 1 (2021): April
Publisher : Marine & Earth Science and Technology Research Center, DRPM, ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1173.437 KB) | DOI: 10.12962/j27745449.v2i1.81

Abstract

This research is aimed to conduct risks assessment of ship building process in the part of materials procurement especially imported materials. The problem in Gresik shipyard industry is late material import, which impact the project delay. This research used House of Risk (HOR) combination and Critical Chain Project Management (CCPM) method analysis. Data analysis was obtained from data sample on new construction work of 2 x 1200 HP tug-boat at the Gresik Shipyard. The data used was related with materials procurement especially imported materials. The analysis used House of Risk (HOR) method and obtained 14 risk events which occurred in planning process and imported components for tug-boat 2x1200HP construction and 22 events as risk agent. There were 14 highest risks needing risk mitigation to reduce the impact. Rescheduling result of the material arrival and imported component used Critical Chain Project Management (CCPM) method. It was able to save time duration from activities schedule of 50%; previous schedule was 84 days become 42 days.
ACCURACY INVESTIGATION OF THE THREE-POINT RESECTION METHOD THROUGH THE DISTRIBUTION OF CONTROL POINTS ACROSS FOUR QUADRANTS Anas Sharafeldin Mohamed Osman; Abdalla M A Mabrouk; Abdalraheem M A Mahjoub; Eltayeb A M Elkhalifa; A Abbas Elhag
Journal of Marine-Earth Science and Technology Vol. 2 No. 2 (2021): September
Publisher : Marine & Earth Science and Technology Research Center, DRPM, ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2234.927 KB) | DOI: 10.12962/j27745449.v2i2.101

Abstract

The three-point resection method is a valuable and effective technique in surveying that provides accurate and efficient solutions for determining the position of a resected point (point of unknown location). This paper presents a simple and innovative approach to determining the accuracy of the three-point resection problem in surveying. The method involves distributing control points (points of known locations) across four quadrants and computing the coordinates of the resected point (P) several times in order to see which quadrant provides better accuracy. The study investigates the impact of the positions of the control points, either in one quadrant or a combination of quadrants, on the accuracy of the resected point, which is a new contribution to the existing literature. The primary objective of this article is to explore the influence of the distribution of control points in different quadrants on the accuracy of the resected point. Furthermore, the study aims to determine the optimal positions of the three points in terms of their positions in one quadrant or their positions in a combination of quadrants. The relationship between the relative positions of the resected point and other control points, and the accuracy of the resected point is also examined in detail. The results of this study show that the relative positions of the control points and the resected point significantly impact the accuracy of the resected point. The paper concludes by defining the positions of control points distributed across quadrants that result in the best accuracy of the resected point.
TWEET SENTIMENT ANALYSISON GREENSPACES Lino Garda Denaro; Yudianto Sujana; Hafsah Fatihul Ilmy
Journal of Marine-Earth Science and Technology Vol. 2 No. 2 (2021): September
Publisher : Marine & Earth Science and Technology Research Center, DRPM, ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1234.089 KB) | DOI: 10.12962/j27745449.v2i2.105

Abstract

Twitter has become one of the most significant resources for text mining. Twitter can provide information    about human activities, mobility, and emotional patterns along with location data. Many types of text research can be made with these data, one of which is sentiment analysis. This study evaluates the potential of deriving emotional responses of individuals from tweets while they experience and interact with urban green space. A machine learning model using Support Vector Machine (SVM) and corpus from over 2000 movie reviews has been made. This model is used to classify incoming tweets into positive and negative sentiments. Then the web-based recommender system has been built to provide suggestions for green spaces based on users' preferred activities.
SELECTION OF DECOMMISSIONING METHODS FOR GAS PLANT FACILITIES USINGANALYTICAL NETWORK PROCESS Aditya Prayudha; Ketut Buda Artana; Emmy Pratiwi; Yoke C Katon; Achmad Agung P
Journal of Marine-Earth Science and Technology Vol. 2 No. 2 (2021): September
Publisher : Marine & Earth Science and Technology Research Center, DRPM, ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1517.854 KB) | DOI: 10.12962/j27745449.v2i2.123

Abstract

The high complexity of decommissioning decisions presents a challenging problem for decision-makers due to the various parameters and stakeholders involved. Currently, a Floating Production Unit, BW Joko Tole located at the Lapangan Terang Sirasun Batur field, in East Madura Waters are expected to be decommissioned as gas reserves are running low for the upcoming 9 years. Multi-Criteria Decision Analysis has begun to be implemented by several oil and gas companies and several studies applied various MCDA methods in choosing the best alternatives. Analytical Network Process is a powerful tool to handle the interdependencies of elements involved in decommissioning, as no other MCDA methods can accommodate these relationships between elements. This study aims to simulate the implementation of the Analytical Network Process as one of MCDA methods in choosing decommissioning methods for these facilities, specifically pipelines and umbilicals operated by FPU BW Joko Tole. Regulatory review is carried out to determine the suitable alternatives, criteria, and sub-criteria needed to be considered in choosing decommissioning alternatives and evaluated using the Analytical Network Process (ANP). This study will provide an example of the ANP network model in decommissioning decisions followed by a sensitivity analysis to determine the robustness of the chosen alternatives and the values of each element involved.
APPLICATION OF UPWARD CONTINUATION FILTER FOR GEOMAGNETIC DATA INTERPRETATION IN GONDANG, BOJONEGORO AREA Yolanda Mustika Bohal; Mariyanto M; Widya Utama
Journal of Marine-Earth Science and Technology Vol. 1 No. 1 (2020): December
Publisher : Marine & Earth Science and Technology Research Center, DRPM, ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (703.644 KB) | DOI: 10.12962/j27745449.v1i1.152

Abstract

There are several manifestations of hot springs and mud pools in Gondang area, Bojonegoro, East Java, there were. This can be an indication of certain geological conditions. The description of these conditions can be done by measuring the geomagnetic method. A total geomagnetic anomaly has been generated through some geomagnetic values recorded in the region, which has been corrected using IGRF correction and diurnal correction. These steps were done to reduce external influences on the real value of the data. This research will use several variations of values in the Upward Continuation filter and one of them will be chosen to proceed as a model. Upward Continuation Filter is a process of transforming potential field data from a flat plane towards the higher plane. The purpose of this study is to compare the results of contour maps on several variations of the Upward Continuation value, to obtain the results of the separation of residual and regional anomalies using the Upward Continuation method, and to determine the value of the susceptibility distribution of inversion modeling in the Gondang region, Bojonegoro. Based on the results of data processing, it is known that the upward continuation value used is 100mdatum with a magnetic intensity value in the regional anomaly of 106.5 nT to 509.0. While the value of the residual anomaly is -232.1 nT to 159.4 nT. The 3D model was made using this residual anomaly which shows the low susceptibility distribution value in the range of -0.0298 to -0.0135 SI around the manifestation area, whereas the high susceptibility value has a value range of 0.0114 to 0.0466 SI interpreted as rock intrusion. Rock intrusion occurs within the area around the manifestation of mud pools.

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