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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 83 Documents
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IDENTIFIKASI KERAPATAN TUTUPAN MANGROVE PULAU GUSUNG MENGGUNAKAN CITRA LANDSAT 8 Ghina Yusriyyah Salma; Adhil Nur Muhammad; Raihan Cahara Winaya Adiwiria; Riki Ridwana; Lili Somantri
Jurnal Sains Informasi Geografi (J SIG) Vol 5, No 1 (2022): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v5i1.1301

Abstract

Mangrove forest is one of the ecosystems that live in coastal areas and has a muddy substrate. Mangroves have an important role in maintaining water productivity and supporting the life of Indonesia's coastal areas. However, the increasing desire to convert or exploit mangrove forests can trigger a periodic decline in the number of mangrove forests, which will result in changes in the environment of coastal ecosystems, and have an impact on physical, biological and economic decline. This research objective is to analyze changes in mangrove forests using remote sensing data. The study used data for 2015 and 2019, which are located in the coastal mangrove forest of Gusung Island Bontoharu Subdistrict, Selayar Islands Regency, South Sulawesi Province. Normalized Difference Vegetation Index (NDVI) formula is used to calculate and classify in obtaining land cover. The results showed that the mangrove forest in the coastal area of Gusung Island experienced an increase in vegetation density. This can be an example for other areas so that mangrove forests need to be preserved and protected from damage.
ANALISIS SPASIAL KESESUAIAN DAN EVALUASI LAHAN PERMUKIMAN DI KOTA AMBON Heinrich Rakuasa; Glendy Somae
Jurnal Sains Informasi Geografi (J SIG) Vol 5, No 1 (2022): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v5i1.1432

Abstract

The increasing number of residents in Ambon City from year to year which is increasing has an impact on land conversion for the development of residential areas and environmental damage in the future. In connection with this, in the development of residential areas in Ambon City, it is necessary to carry out a spatial analysis of land suitability for settlements to assess the categories of area functions and land suitability for settlements based on physical conditions and the existing RTRW. This study aims to analyze the suitability and evaluation of residential land in Ambon City based on the RTRW of Ambon City in 2011-2031. This research uses Spatial Multi-Criteria Analysis (SMCA) method. The results of the study were then used to evaluate the RTRW of Ambon City 2011-2031. The results of the SMCA analysis show that an area of 13,282, 46 ha is suitable and 2,019, 88 ha is sufficient after the development of residential areas. Based on the results of the RTRW evaluation, there are many deviations in the development of settlements in protected forest areas and there are still many settlements located <100 m from the river border. The results of this study are expected to be a reference and input for the evaluation of the Ambon City RTRW in the future.
PEMANFAATAN CITRA SATELIT LANDSAT 8 UNTUK MEMETAKAN HUTAN MANGROVE WISATA BAHARI PANTAI KARANGANTU, TELUK BANTEN Kiran Aulia Putri; Willdan Aprizal Arifin; La Ode Alam Minsaris
Jurnal Sains Informasi Geografi (J SIG) Vol 5, No 2 (2022): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v5i2.1774

Abstract

Mangrove marine tourism is one of the tourism sectors involved in large and important projects in tourism development. The transformation of PPN Karangantu from a protected area to marine tourism has caused environmental damage. This continued focus on mass tourism has resulted in environmental damage and pollution of the mangrove area found in PPN Karangantu. The aim of the study was to calculate the area of mangrove forest, the accuracy value of mangrove density and changes in conditions due to the existence of the Karangantu Beach marine tourism area in the last 5 years. The research method uses a mixed method to identify mangrove areas by visually analyzing landsat 8 spectral values using the Google Earth Engine (GEE) platform and by image processing for 2018-2022. The results showed that in 2018 the area of mangrove land was 17.04 ha, which decreased drastically in 2019 to 6.28 ha due to an oil spill that was carried away from Karawang Waters. In 2020 it will be 10.6 ha, in 2021 it will be 9.56 ha and in 2022 it will be 7.32 ha. This decrease area is due to marine tourism activities which damage the mangrove ecosystem land and many visitors do not protect the ecosystem. The use of GEE can provide an overview of the capabilities of Landsat 8 satellite imagery in mapping the mangrove forests in Karangantu Beach.
PREDIKSI POLA ABRASI DALAM RANGKA MITIGASI BENCANA DI KECAMATAN GEROKGAK, KABUPATEN BULELENG, BALI I Gst Ngr Yoga Jayantara
Jurnal Sains Informasi Geografi (J SIG) Vol 5, No 2 (2022): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v5i2.1737

Abstract

Gerokgak Subdistrict has seen a significant change in coastline during the past 20 years, from 1997 to 2017, with the largest change being around 620.6 meters. Of the several factors that cause coastline changes, abrasion is one of the most detrimental factors. Change in coastline caused by abrasion can be categorized as disasters because it is destructive and detrimental, as it threatens ecosystems or buildings behind the coastline. Judging from the tendency of development in Gerokgak District that inclines towards the coast, abrasion could be a devastating disaster for most of the people of Gerokgak Subdistrict. Structures such as PLTU Celukan Bawang, hotels on the beach, temples on the beach, and fish ponds owned by the government and the community will become easy targets for abrasion. Previous research resulted in an analysis of shoreline change from shoreline extraction every five years over a 25-year period. There are 6 coastlines resulting from shoreline extraction in 1995-2020. In this study, the six samples of coastline data that have been obtained will be used to draw a general conclusion on abrasion pattern and then this abrasion pattern will be used to produce extrapolation of the abrasion pattern every five years for the next 10 years, namely 2025 and 2030. This study produced extrapolation calculations for 2025 and 2030 which were achieved using the linear regression method with the aim that a linear coastline pattern could be formed as a consideration for decision making for abrasion disaster mitigation policies that occurred in Gerokgak Subdistrict.
ANALISIS KEBAKARAN HUTAN DAN LAHAN DI SAMARINDA (Analysis of Forest and Land Fire in Samarinda) Edwardus Iwantri Goma; Djurlin Lampang; Fathan Purwadi; Inayah Inayah; Lasdin Sagala; Riska Riska; Deviani Deviani
Jurnal Sains Informasi Geografi (J SIG) Vol 4, No 2 (2021): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v4i2.1082

Abstract

The phenomenon of forest and land fires is also an annual problem that is often faced in East Kalimantan Province, especially in the Samarinda area. The purpose of this study was to determine the causes of forest and land fires, and to identify follow-up actions to reduce the risk of forest and land fires in Samarinda. Data collection techniques were carried out using documentation techniques which were carried out in three stages, namely 1) Editing; 2) Organizing; and 3) Finding: The data analysis technique used in this research is to use the data analysis method of the Miles and Huberman model which is carried out in three stages, namely 1) Data reduction; 2) Display data and; 3) Drawing conclusions. The results showed that forest and land fires that occurred in several areas of the city of Samarinda were caused by two main factors, namely human activities and weather factors. The follow-up for risk reduction is early warning and steps to increase preparedness in the community.
ANALISIS AUTOKORELASI SPASIAL KETIMPANGAN GENDER KABUPATEN/KOTA DI PULAU JAWA MENGGUNAKAN INDEKS MORAN DAN LISA (Spatial Autocorrelation Analysis of Districts/Cities Gender Inequality in Java Island Using Moran Index and LISA) Candra Sari Djati Kartika; Amanda Kirana Yudita; Krisna Arum Windiatma
Jurnal Sains Informasi Geografi (J SIG) Vol 4, No 2 (2021): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v4i2.1040

Abstract

Autokorelasi spasial merupakan salah satu metode analisis spasial untuk menentukan adanya hubungan atau keterkaitan antar lokasi amatan dengan lokasi tetangga dengan asumsi bahwa lokasi yang berdekatan akan memiliki tingkat korelasi yang lebih besar sehingga apabila suatu perubahan terjadi pada suatu lokasi, maka perubahan juga akan terjadi di lokasi sekitarnya. Sehingga analisis autokorelasi spasial dapat dimanfaatkan untuk melihat korelasi antar wilayah terhadap suatu fenomena sosial, seperti halnya isu ketimpangan gender. Indeks Moran dan LISA digunakan dalam penelitian ini dan diperoleh hasil bahwa nilai IKG Kabupaten/Kota di Pulau Jawa pada tahun 2019 memiliki korelasi positif dimana wilayah amatan dengan nilai IKG tinggi dikelilingi oleh wilayah dengan nilai IKG tinggi, dan sebaliknya. Dari hasil analisis tersebut dapat diketahui klasterisasi wilayah yang membutuhkan pertimbangan kebijakan khusus secara kewilayahan guna mengatasi permasalahan ketimpangan gender.
POTENSI UNGGULAN SUB-SEKTOR TANAMAN PERKEBUNAN DI KABUPATEN BANYUASIN Helfa Septinar; Budi Utomo; Maharani Oktavia; Siti Asiyah; Nuranisa Nuranisa
Jurnal Sains Informasi Geografi (J SIG) Vol 5, No 1 (2022): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v5i1.1080

Abstract

Banyuasin Regency is an area that has enormous agricultural potential. Plantation is part of agriculture which has an important role in the development of Banyuasin Regency. To optimize the development of the area, it is necessary to optimize its potential. The purpose of this research is to see what the leading sectors of the plantation are in Banyuasin Regency. The research location is in Banyuasin Regency, South Sumatra Province. This research was conducted for 6 months starting from March to August 2020. The research data is secondary data from BPS data from Banyuasin Regency and data from the plantation and livestock office of Banyuasin Regency. This research is a descriptive study with a quantitative approach. In this study, the data analysis method used is the Location Quotient (LQ) analysis method. The research results of superior plantations in Banyuasin Regency are three types of commodities, namely rubber, oil palm and coffee. Even though Banyuasin Regency has many excellent plantation potentials, there are plantations that do not have the potential to become the regional superiority, namely coconut.
KAJIAN PENENTUAN PRIORITAS RUANG TERBUKA HIJAU BERDASARKAN FENOMENA URBAN HEAT ISLAND DI KOTA CIREBON Irland Fardani; Mohamad Rizalby Yosliansyah
Jurnal Sains Informasi Geografi (J SIG) Vol 5, No 2 (2022): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v5i2.1708

Abstract

Urban Heat Island (UHI) is characterized by an increase in surface temperature that occurs in downtown areas which is higher than in sub-urban areas. Cirebon City in 2018 - 2023 years has an increased population growth rate of 2.9% per year and ± 55% of built-up land. Cirebon city also one of the 9 cities in West Java where there has been an increase in temperature where the UHI phenomenon occurred in 1989 – 2021 years with the downtown and sub-urban areas having a surface temperature difference of 3°C. So it is necessary to have a study regarding determining the priority of green open space reduce the effect of UHI in Cirebon City. The research methodology used is Landsat 8 image processing and with helping of a Geographic Information System (GIS) to determine priority green open space locations. The parameters used are vegetation index, population density and comfort index. The purpose of this study is to determine the priority locations in increasing the area of green open space to reduce the UHI effect based on the level of suitability of the Cirebon City Rencana Detil Tata Ruang (RDTR). The results of the study show that areas that are not suitable according to the RDTR of Cirebon City are the top priority that needs to be done. The priority is reforestation covering an area of ± 2,481.22 ha around built-up land by modifying green open space in the form of implementing green infrastructure (GI).
MEMILIH KANAL CITRA SENTINEL 2 TERBAIK UNTUK DETEKSI INTRUSI AIR LAUT DI KELURAHAN WAY URANG Aulia, Mila; Ghazali, Mochamad Firman; Dermawan, Ananda; Salsabila, Choirunnisa; Zahra, Lauditta; Suastini, Ni Made Mega Melliana
J SIG (Jurnal Sains Informasi Geografi) Vol 6, No 1 (2023): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v6i1.1594

Abstract

The phenomenon of sea water intrusion almost occurs in all coastal areas. This phenomenon occurs scientifically and non-scientific which can lead to reduced groundwater quality. Utilization of remote sensing images, such as Sentinel 2 can be used to map the distribution of seawater intrusion in Way Urang Urban Village, South Lampung Regency. It just needs to be preceded by choosing the right band. Therefore, the statistical test process in the form of regression needs to be considered. The data needed include seawater intrusion in the field in the form of 18 sample points and Sentinel 2 Satellite Imagery. Based on the results of the regression test, bands 9, 10, 11, and 12 are bad bands with an R2 value of 0.0032-0.0624, bands 1, 6, 7, 8, 8A with an average value of R2 0.1171-0.0624 is a poor band, and bands 2, 3, 4, especially band 5 with R2 0.2099-0.3483 are the best bands in mapping the distribution of seawater intrusion. However, the Root Mean Square Error (RMSE) value of band 8A is 0.2570 which is smaller than band 5 which is 0.4335. So it can be said that band 5 is the best in mapping seawater intrusion with the highest R2 value. But if we look at the RMSE value, band 8A has better accuracy than band 5.
PEMODELAN SPASIAL PERUBAHAN TUTUPAN LAHAN DAN PREDIKSI TUTUPAN LAHAN KECAMATAN TELUK AMBON BAGUALA MENGGUNAKAN CA-MARKOV Somae, Glendy; Supriatna, S; Rakuasa, Heinrich; Lubis, Aufar Raynanda
J SIG (Jurnal Sains Informasi Geografi) Vol 6, No 1 (2023): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v6i1.1832

Abstract

Teluk Ambon Baguala District, is one of the sub-districts in Ambon City which has experienced a significant increase in population. Along with the increasing population, the need for residential, infrastructure and industrial land is increasing. This will certainly have an impact on the conversion of other cover to uncontrolled built-up land, environmental damage and natural disasters. This study aims to analyze land cover changes in Teluk Ambon Baguala District in 2014, 2018, 2022 and predict land cover models in 2026, 2030 and 2034. The driving factors used are slope, land height and distance from the road. This study uses the CA-Markov method to predict future land cover. The results of the analysis of changes and predictions of land cover in 2014, 2018, 2022, 2026, 2030 and 2034 show that built-up land continues to increase in area along with increasing population and the high demand for built-up land which is increasing.

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