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J SIG (Jurnal Sains Informasi Geografi)
Published by Universitas Muhammadiyah Gorontalo
ISSN : -     EISSN : 26141671     DOI : -
Core Subject : Science, Agriculture, Social,
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Energy Environmental Science
Jurnal ini terbit 2 (dua) kali dalam setahun yaitu pada bulan Mei dan November (2 Nomor dalam 1 Volume) yang pada setiap terbitan berisi maksimal 6 artikel/paper. Publikasi dalam jurnal ini menggunakan Bahasa Indonesia meski juga diperbolehkan dengan menggunakan Bahasa Inggris (english).
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Articles 5 Documents
 1 
Search results for , issue "Vol 7, No 2 (2024): Edisi November" : 5 Documents clear
EVALUASI DAN KOMPARASI DARI MODEL ANOMALI GAYA BERAT di LAUTAN INDONESIA Nadzir, Zulfikar Adlan; Rahmadhani, Nina
J SIG (Jurnal Sains Informasi Geografi) Vol 7, No 2 (2024): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v7i2.3073

Abstract

Gravity is the total value of the various forces acting on any stationary body on the Earth's surface. This gravity is related to the Geoid, an important parameter in Geodesy. The Geoid is commonly used as a vertical reference for geospatial reference systems in many countries, including Indonesia. Another derived parameter of gravity is gravity anomaly, which is the difference between the gravity vector on the geoid and the normal gravity vector on the ellipsoid. The measurement of gravity at sea has several disadvantages compared to that on land, due to the high level of difficulty and risk of the measurement. Technological developments have facilitated the observation of gravity at sea both regionally and globally, one of which is using altimetry. The output of gravity observations using altimetry satellites is called combined Global Geopotential Model (GGM). Indonesia has had a regional geoid model since 1981, and the latest is INAGEOID2020 v2.0. The accuracy of INAGEOID2020 needs to be improved to realize the one-map policy and large-scale mapping based on the Master Plan for the Implementation of the National Vertical Geospatial Reference System. Therefore, this research aims to analyze the comparison of gravity anomalies of several MGGs in Indonesian seas by comparing them to Shipborne gravity anomalies. The Global Geopotential Models used are EGM2008, EIGEN6C4, XGM2019e, DTU17 and Sandwell Model v.31.1. The results of this study are XGM2019e is the best Combination Global Model in Indonesia and DTU17 is the best Global Altimetry Model in Indonesia, and both models have good performance in various sea conditions in Indonesia.
ANALISIS SPASIAL ZONA POTENSI RAWAN LONGSOR DISEKITAR RUAS JALAN RAYA MATARAM-TANJUNG Adi, Wiwit Bayu; Anshar, Aliful; Muladi, Agum; Wahyudi, Try; Harmaen, Harmaen
J SIG (Jurnal Sains Informasi Geografi) Vol 7, No 2 (2024): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v7i2.2978

Abstract

 This research aims to analyze the spatial distribution of landslide prone zones around Mataram-Tanjung highway. The second objective is to determine whether the utilization of GIS can be used properly to analyze the potential prone to landslides in an area based on several indicators used. The method used is overlay analysis and utilizing Geographic Information System (GIS) application. The variables used are soil type, rainfall, slope, geological type and land cover type. The result of the analysis shows that the distribution of landslide prone potential zone in the study area has 4 classes, namely very low landslide prone potential class, low prone potential, medium prone potential and high prone potential. The application of sapsial analysis by utilizing GIS can help in predicting an area that is potentially prone to landslides, this is reinforced by the results of field validation where the results of the analysis have been appropriate to describe the existing conditions.
EVALUASI RTRW BERDASARKAN ASPEK RTH DAN KERENTANAN BENCANA (STUDI KASUS: KOTA MAGELANG) Purwaningsih, Yuli; Setiawan, Heri; Wibowo, Adi
J SIG (Jurnal Sains Informasi Geografi) Vol 7, No 2 (2024): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v7i2.3166

Abstract

Evaluation of city planning based on aspects of Green Open Space (RTH) and disaster vulnerability is an important part of realizing a sustainable city. This research aims to evaluate the conformity of the Spatial Plan (RTRW) of Magelang City based on aspects of Green Open Space (RTH) and disaster vulnerability, as well as provide recommendations for the sustainability of the city in the future. The methods used include analysis of vegetation land cover using Random Forest classification and NDVI from Landsat 9 imagery in 2023 to evaluate RTH, as well as overlaying disaster vulnerability maps of floods and landslides from BNPB with the spatial plan map of RTRW. The results of the study indicate that the area of green open space in Magelang City still meets the minimum standard of 30% of the total area. However, there is a discrepancy in the use of the river border area of the Elo River covering an area of 1.14 hectares due to the presence of buildings standing on the river border. The areas of Wates and Gelangan Villages are prone to flood and landslide disasters with sloping conditions ranging from slightly steep to steep. The recommendations include the development of private green open spaces, drainage system management, not building houses around cliffs and rivers, socialization related to disasters, and emphasizing regulations to not build homes in river borders and not deforesting.
KESESUAIAN KAWASAN PERDAGANGAN KOTA SERANG MENGGUNAKAN METODE SPATIAL MULTICRITERIA EVALUATION Pradono, Kuncoro Adi; Wibowo, Adi; Veronica, Kiki Winda
J SIG (Jurnal Sains Informasi Geografi) Vol 7, No 2 (2024): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v7i2.3006

Abstract

An open source geographic information system (GIS) can assist stakeholders in assessing the suitability of trade areas to support economic growth and sustainable development. Serang City as the capital of Banten Province from the expansion of West Java Province is a developing area, one of which is a new trade center. The spatial multicriteria evaluation (SMCE) method, one of the features of ILWIS, is used to evaluate the suitability of trade areas in Serang City. The factors considered in evaluating the suitability of trade areas are zonation, accessibility, and visibility. Through the results of SMCE analysis, as much as 16% or about 4000 hectares are suitable for trade areas, most of which are scattered in the city center, while 80% are not suitable if they are intended for trade areas.  Serang and Taktakan sub-districts are the most suitable areas, while Kasemen sub-district is generally unsuitable. This is still in line with the RTRW 2008-2030. The open source-based software in this study effectively performs SMCE analysis. This study is expected to provide a reference for the relevant government, stakeholders and investors to develop a sustainable trade area in Serang City.
PEMODELAN HIDROLOGI BERBASIS SPASIAL UNTUK IDENTIFIKASI DAN ANALISIS DAERAH RAWAN BANJIR DI DAS LAMASI Nursaputra, Munajat; Syahrul R, A. Muhammad; Rijal, Syamsu; Fa'iq, Muhammad
J SIG (Jurnal Sains Informasi Geografi) Vol 7, No 2 (2024): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v7i2.3365

Abstract

This study investigates the changes in flood inundation areas in the Lamasi Watershed, focusing on the integration of HEC-RAS and SWAT models from 2013-2022 with projections up to 2031. This research is motivated by the increased frequency and extent of flooding in DAS Lamasi, attributed to land use changes and hydrological variability. The methodology employed involves hydrological simulation using the SWAT model to estimate river discharge based on historical land use, climate, and topography data. The output from the SWAT model is then integrated into the HEC-RAS model to simulate flood distribution and extent. The Flow Regime Coefficient (KRS) is also analyzed to assess flow quality and identify flood risk indicators. The results indicate an expected increase in flood inundation area from 1,825.88 hectares in 2021 to 1,860.62 hectares in 2031. The KRS analysis reveals that 17 sub-basins in poor condition in the downstream areas exhibit a high risk of flooding. Based on these findings, the study recommends the development of mitigation strategies including enhanced drainage infrastructure and more effective land management. This study provides crucial insights for the planning of flood management and risk mitigation in DAS Lamasi, supporting efforts to adapt to the impacts of land use changes and climate dynamics in the future.

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