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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 84 Documents
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DAMPAK EL NIÑO DAN LA NIÑA TERHADAP SUHU MAKSIMUM DI KABUPATEN TEMANGGUNG Firmansyah, Anugrah Jorgi; Nurjani, Emilya; Sekaranom, Andung Bayu
J SIG (Jurnal Sains Informasi Geografi) Vol 8, No 1 (2025): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v8i1.4385

Abstract

This study analyzes the impact of the El Niño and La Niña phenomena on the maximum temperature in Temanggung Regency in the period 1995 to 2024. The El Niño and La Niña phenomena can affect temperature and rainfall which have the potential to change local climate conditions and cause hydrometeorological disasters. The method used in this study is spatial analysis using Google Earth Engine, ArcGIS, RStudio software, as well as monitoring the Oceanic Niño Index (ONI) to identify the El Niño and La Niña phases. The maximum temperature data obtained from the ERA5 reanalysis was corrected with AWS observation data. The mean ratio bias correction method is quite effective in improving the average correlation value of the ERA5 dataset in Temanggung Regency against AWS observation data. The previous average correlation value of -0.1 (before bias correction) strengthened to 0.685 (after bias correction). The data correction factor for ERA5 was 1.3204, which was applied to all ERA5 data points and can improve the MBE, RMSE, MAE, and PBIAS values to be smaller approaching zero so that the maximum temperature data from ERA5 can be used for data processing in this region. The results of the study indicate that the El Niño phase causes an increase in maximum temperature, while the La Niña phase tends to decrease the maximum temperature. Significant maximum temperature anomalies were recorded during the El Niño phase, with the highest temperature reaching 41°C in October or increasing by around 7.89% compared to the neutral phase, which can increase the potential risk of drought. During the La Niña phase, the average largest decrease in temperature was in November at -1.53°C or around 4.14% compared to the neutral phase. This study provides important insights for climate change mitigation planning in the Temanggung area, especially in the agriculture and health sectors.
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.
KERENTANAN SOSIAL TERHADAP BAHAYA LONGSOR DI KECAMATAN GIRIMULYO, KULON PROGO Riasasi, Widiyana; Saputra, Ridho Abdhe; Wahyuni, Desri
J SIG (Jurnal Sains Informasi Geografi) Vol 6, No 2 (2023): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v6i2.2463

Abstract

Landslide is one of the hazards that threatens and has the potential to cause material losses and even fatalities. In 2021, one-third of the disasters in Indonesia are landslides. Landslides are caused by physical factors and human activities. Vulnerability measurement is needed to calculate disaster risk. Geographic Information Systems (GIS) plays a significant role in disaster management because it can provide a spatial and mathematical picture. This study aims to assess the level of vulnerability of society in the social sector to the threat of landslides in Kecamatan Girimulyo, Kulon Progo Regency, Special Region of Yogyakarta Province, which is analyzed spatially. The measurement of social vulnerability follows the guidelines issued by the National Disaster Management Agency using parameters of population density and vulnerable groups. The study area covers four subdistricts, namely Purwosari, Pendowoharjo, Jatimulyo, and Giripurwo. Kecamatan Girimulyo is located in an area dominated by hills and mountains, reaching an altitude of 500 meters above sea level. Data were obtained from the Girimulyo sub-district statistics center and the Geospatial Information Agency. Scoring and weighting methods are used to assess each parameter in order to obtain an index of social vulnerability to landslide threats. The results of the calculation of the population density parameter in Kecamatan Girimulyo show two classes, low and middle. The sex ratio measurement shows that the study area is included in the low class, the vulnerability dependency ratio is included in the middle class, and the classification of the disability ratio is included in the low class. The similarity of the study areas for each parameter indicates that the characteristics of the population are relatively the same or homogeneous. The social vulnerability index in Kecamatan Girimulyo is included in the low category. This indicates that the people of Kecamatan Girimulyo are socially prepared in the event of a landslide.
SISTEM INFORMASI GEOGRAFIS PENENTUAN RUTE EVAKUASI KAWASAN RAWAN BANJIR DI KABUPATEN KUDUS Caroline, Dyta; Pinem, Agusta Praba Ristadi
J SIG (Jurnal Sains Informasi Geografi) Vol 7, No 1 (2024): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v7i1.2812

Abstract

At the beginning of 2023, several regions in Indonesia, such as Kudus Regency in Central Java, experienced flooding disasters that resulted in the disruption of several inter-district road accesses and had material and immaterial impacts. Based on the disaster infographics data of Kudus Regency, it was recorded that there were 17 flood disaster incidents throughout the year 2022. Sixteen villages were affected by flood disasters spread across three sub-districts, namely Jati, Undaan, and Mejobo, with a total loss of Rp 20,000,000. In 2023, the Regional Disaster Management Agency (BPBD) of Kudus Regency stated that the flooding in Kudus was the most severe compared to the previous year. This was due to high rainfall (>3000 mm) with a relatively flat topography (0-8%). Disaster mitigation procedures have been carried out by the local government in collaboration with the surrounding community to reduce the severity of the incidents. However, the unpredictability of flood disasters due to changing weather and environmental influences each year necessitates further analysis of flood-prone areas and appropriate evacuation procedures. This research is conducted by mapping flood-prone areas using the Scoring and Overlay Data methods, as well as calculating evacuation routes using the Network Analyst method. This analysis utilizes tools available in ArcGIS Desktop software. The selection of appropriate parameters is crucial for more accurate calculations.
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.
STUDI TENTANG COULOMB STRESS PASKA GEMPA BUMI PADA DAERAH MAMUJU – MAJENE MENGGUNAKAN METODE DInSAR Suprapto, Bambang Harimei; Maria, Maria; Arif, Samsu
J SIG (Jurnal Sains Informasi Geografi) Vol 7, No 1 (2024): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v7i1.2571

Abstract

Earthquake analysis has been carried out on January 8, 14 and 15 2021 based on changes in the Coulomb Stress Value and post-earthquake surface deformation in the Mamuju – Majene area using the DInSAR method, while the results of the research show changes in positive and negative coulomb stresses ranging from 0.2 bar to 1.0 bar and this positive coulomb tension change may trigger nearby earthquakes located at a distance of 5 km to 35.52 km. The earthquake that occurred on January 8, 1984 had four lobe sections consisting of two positive lobe areas trending northeast-southwest from the epicenter and two negative lobe areas trending northwest-southeast. The January 14 2021 earthquake increased the coulomb voltage in a relatively north-south direction. While the area that shows a decrease in coulomb voltage is relatively east. As well as the January 15 2021 earthquake, the area where the dominant increase in coulomb stress occurred was in the northwest-southwest direction. After the earthquake, there was a post-earthquake land surface change, the area that experienced the highest land level rise or uplift occurred in Kec. Kaluku and Bonena which range from 0.12514 m to 0.269211 m. While the Mamuju city area experienced an uplift ranging from 0.02375 m to 0.06655 m, while the Kec. Tapalang, Kec. Malunda, Kec. Ulamanda, Kec. Pamboang, as well as the coastal area of Majene Regency, most of the area is experiencing subsidence ranging from -0.1629 m to -0.0190 m.
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.
PEMANFAATAN SISTEM INFORMASI GEOGRAFI UNTUK ANALISIS POLA SPASIAL-TEMPORAL DISTRIBUSI MAHASISWA BARU UNIVERSITAS COKROAMINOTO PALOPO Iriansa, Iriansa; Hamzah, Muhammad Akram; Jumardi, Andi
J SIG (Jurnal Sains Informasi Geografi) Vol 7, No 1 (2024): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v7i1.2786

Abstract

Spatial-temporal information on the new college student amount is of significant importance in planning, strategic decision-making, and managing higher education institutions to increase the number of new college student. Therefore, the role of geospatial technology is needed to assist in the analysis and provision information. This research aims to understand the characteristics of spatial-temporal patterns and clusters in the amount distribution of new UNCP college student from Luwu Regency. The study utilizes secondary data analyzed using GIS techniques. A spatial approach is applied to interpret the results of data analysis, and conclusions are drawn qualitatively. The research findings show a varied distribution of the number of new college student, both spatially and temporally. The spatial distribution pattern tends to be centralized, while the temporal characteristics exhibit three patterns: increasing, fluctuating, and decreasing. Several districts fall into clusters of Potential Areas and Critical Areas that require attention from UNCP for strategic planning and more effective policies to increase the interest of prospective new college student in the future.
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.
ANALISIS SPASIAL TEMPORAL PERUBAHAN TUTUPAN LAHAN AKIBAT PEMBEBASAN LAHAN PEMBANGUNAN BANDARA INTERNASIONAL KERTAJATI Purwaningsih, Yuli; Wibowo, Adi; Setiawan, Heri
J SIG (Jurnal Sains Informasi Geografi) Vol 7, No 1 (2024): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v7i1.2690

Abstract

The development of the Kertajati International Airport project in Majalengka Regency, West Java, directly impacts land cover change. The land cover change comes from land acquisition by residents in Kertajati, Bantarjati, Kertasari, Sukamulya, and Sukakerta Villages. This study aims to analyze land cover changes before and after the construction of Kertajati International Airport in each village and analyze the process of residential land acquisition and the airport construction process spatially and temporally. This research uses a spatial-temporal analysis method by comparing land cover before and after the construction of Kertajati International Airport in each village and visual interpretation using Google Earth image data in 2009, 2013, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023. The results showed that land cover change affected paddy fields, settlements, and moorlands. The most affected paddy fields are in Kertajati and Bantarjati Villages. Then, the most affected residential land is Kertasari Village. Land clearing of residential land was carried out in different years for each village due to the land acquisition process. The construction of Kertajati International Airport was carried out from 2013 to 2018, but after this period, there was still an additional runway in Sukamulya Village. This research proves that Google Earth imagery can help analyze land cover change.

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