cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
jglitrop@sci.ui.ac.id
Phone
-
Journal Mail Official
jgliltrop@sci.ui.ac.id
Editorial Address
Building H, Department of Geography, FMIPA Universitas Indonesia Depok, West Java
Location
Kota depok,
Jawa barat
INDONESIA
Jurnal Geografi LIngkungan Tropik (Journal of Geography of Tropical Environments)
Published by Universitas Indonesia
ISSN : -     EISSN : 25979949     DOI : 10.7454/jglitrop
Core Subject : Science,
Earth & Planetary Sciences
JGLITROP is a scientific journal published by Department of Geography at the University of Indonesia focuses on the application of Geography in tropical environment. The focus of the issues consist of: Physical Geography Human Geography Remote Sensing Geographic Information System Environmental Sciences Multidiscipline/Others
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 7, No. 1" : 5 Documents clear
DISTRIBUTION OF FIRE INCIDENTS AND FIRE FIGHTING SERVICES IN DKI JAKARTA PROVINCE Zakaria, Muhammad; Tambunan, Mangapul P.; Setiadi, Hafid
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 7, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The rapid development of the city results in the risk of disasters, one of which is a fire disaster. Fire incidents have increased from time to time, this occurs in line with the continued increase in population and density of settlements. Fire can cause material loss or loss of life. Efforts to minimize fire disasters can be carried out by providing fire fighting service facilities whose numbers can reach all areas. The purpose of this study is to determine the distribution of fire incidents and to determine the distribution of fire services in DKI Jakarta Province. The type of research used in this research is ex-post facto research which then the results are analyzed by quantitative description. The location of this research is DKI Jakarta Province. The variables in this study are fire incidents and fire fighting services in the 2018-2020 range. The source of data in this study is data on fire incidents and fire fighting services obtained from related agencies, namely the DKI Jakarta Fire Department. Data analysis techniques are density analysis and service area analysis. The results showed that the distribution of fire incidents occurred in all areas of DKI Jakarta, with the highest distribution in the East Jakarta area. The spread of fires occurred in almost every residential or residential area. The distribution of fire services in DKI Jakarta is not available in every region, especially at the sub-district and urban village levels. Keywords: Fire, fire fighter, fire sector, fire station, housing, settlement
COMPARISON RESULT FOR THE PREDICTION ACCURACY OF SEAWATER INTRUSION BASED ON DIFFERENT SAMPLE SIZES AND LAND COVER CHARACTERISTICS USING INVERSE DISTANCE WEIGHTING AND KRIGING Suastini, Ni Made Mega Melliana; Ghazali, Mochammad Firman; Dermawan, Ananda; Salsabila, Choirunnisa; Zahra, Lauditta; Aulia, Mila
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 7, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to determine seawater intrusion (SWI) based on sample sizes' contribution to land cover characteristics' accuracy using inverse distance weighting (IDW) and Kriging. The SWI is explained based on the extracted salt concentration from the dissolved soil. Here, this study used 24 samples of salt concentration, namely salinity samples collected by systematic random sampling and divided into two groups: ground control points (GCP) and independent checkpoints (ICP). Two interpolation methods, namely IDW and Kriging, are used to make a spatial prediction of the SWI, and their results are evaluated based on their accuracy by observing the root mean square error (RMSE). Based on the results of the best interpolation method using various sample size scenarios considering the knowledge to consider sufficient samples for SWI estimation, namely, the Kriging method produces the lowest RMSE value of 0.011 in model 1 and the highest RMSE value of 0.025 in model 3. The kriging method does not work well if the sample number is small. Compared to IDW, which has the highest RMSE value of 0.028 in model 3 and the lowest RMSE value of 0.13, respectively, in model 1. At the same time, the IDW method can work well even though the sample size is small. However, both interpolation methods are suitable for detecting seawater intrusion in Way Urang Village. In this study also, land cover affects the dynamics of salt concentration so that open land may have a higher salinity value than shrubs and vegetation with low salinity values causing the soil in Way Urang Village not to be polluted by seawater intrusion because the salinity concentration does not exceed the limit.
Assessment Site Attraction in Gunung Mas Agrotourism, Bogor Regency, West Java Fitriani, Sarah Putri; Manessa, Masita Dwi Mandini; Tambunan, Mangapul Parlindungan; Tambunan, Rudy Parluhutan
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 7, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Gunung Mas Agrotourism is a sub-unit managed by PT Perkebunan Nusantara VIII (PTPN VIII) under the management of Agrotourism and is the largest contributor to PTPN VIII's revenue, which is 70% and most of it comes from the tourism sector. The facilities and activities offered by Gunung Mas Agrotourism also vary, from lodging, restaurants, tourist attractions, and supporting facilities to meet the tourists' needs. To find out the magnitude of tourist interest in tourist attractions, an analysis of the attractiveness of tourist attractions is needed. This study aims to assess tourist attractions based on tourist preferences as well as the availability and accessibility of facilities in the Gunung Mas Agrotourism area, Bogor Regency. The method used is a survey method with a quantitative approach with the Analytical Hierarchy Process (AHP). The results of this study show that horseback riding got the highest meanwhile ATV got the lowest value of attractiveness. It indicates that the easier accessibility as well as the higher number of facilities to a tourist attraction, the greater the value of attractiveness.
Changes in Chili Value Chain in Gunungkidul Regency Due to COVID-19 Pandemic Ramadhan, Muhammad Vitra; Sumadio, Widyawati
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 7, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study explored the changes in the chili value chain in Gunungkidul Regency due to the COVID-19 pandemic. This study used a qualitative approach by conducting in-depth interviews with chili farmers, collectors, traders, and buyers in Gunungkidul Regency. The research results show that the COVID-19 pandemic has affected all stages of the chili value chain in Gunungkidul Regency. The actors in the chili value chain in Gunungkidul Regency have successfully adapted to face disruptions due to the COVID-19 pandemic by using information technology to communicate between actors and obtain market price information. Before the pandemic, Gunungkidul Regency was one of the largest chili producers in the Special Region of Yogyakarta Province. However, due to the pandemic, chili production has decreased drastically with chili price volatility remaining. The COVID-19 pandemic has had a significant impact on the chili value chain in Gunungkidul Regency. Nevertheless, the actors in the chili value chain have successfully adapted to face disruptions due to the COVID-19 pandemic by using information technology.
Characteristic of Dual Polarization Sentinel-1 for Estimation of Seawater Intrusion on Kalianda Coast, South Lampung: A Preliminary Study Salsabila, Choirunnisa; Ghazali, Mochamad Firman; Dermawan, Ananda; Zahra, Lauditta; Melliana, Ni Made Mega; Aulia, Mila
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 7, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Seawater intrusion can increase soil salinity, which occurs due to flooding, evaporation, and land cover changes in coastal areas. This research aims to map and observe the characteristics of seawater intrusion in Way Urang, Kalianda, South Lampung, using Dual-polarization of Sentinel-1 SAR imagery with VV, VH, VV+VH, and (VV+VH)/2 polarization. There were 28 samples used in this research which were divided into two types, GCP (ground control point) and ICP (independent check point). GCP samples are used to create a seawater intrusion estimation model using the regression method, while ICP samples are used to test the validation model using the RMSE method. The seawater intrusion estimation model created in this study had a good RMSE accuracy of 0.01 – 0.08. However, these results were not followed by a strong relationship between backscatter and estimated salinity value. This can be caused by high levels of soil moisture in the research area. Based on the salinity value estimation model, it shows that there is no seawater intrusion in the research area. Seawater intrusion can increase soil salinity, which occurs due to flooding, evaporation, and land cover changes in coastal areas. This research aims to map and observe the characteristics of seawater intrusion in Way Urang, Kalianda, South Lampung, using Dual-polarization of Sentinel-1 SAR imagery with VV, VH, VV+VH, and (VV+VH)/2 polarization. There were 28 samples used in this research which were divided into two types, GCP (ground control point) and ICP (independent check point). GCP samples are used to create a seawater intrusion estimation model using the regression method, while ICP samples are used to test the validation model using the RMSE method. The seawater intrusion estimation model created in this study had a good RMSE accuracy of 0.01 – 0.08. However, these results were not followed by a strong relationship between backscatter and salinity value. This can be caused by high levels of soil moisture in the research area. Based on the salinity value estimation model, it shows that there is no seawater intrusion in the research area.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2023 2024


Reset
Filter By Issues
All Issue Vol. 9, No. 1 Vol. 8, No. 2 Vol. 8, No. 1 Vol. 7, No. 2 Vol. 7, No. 1 Vol. 6, No. 2 Vol. 6, No. 1 Vol. 5, No. 2 Vol. 5, No. 1 Vol. 4, No. 2 Vol. 4, No. 1 Vol. 3, No. 2 Vol. 3, No. 1 Vol. 2, No. 2 Vol. 2, No. 1 Vol. 1, No. 1 More Issue