cover
Contact Name
Kuswantoro
Contact Email
kuswantoro@sci.ui.ac.id
Phone
+628159312360
Journal Mail Official
jglitrop@sci.ui.ac.id
Editorial Address
Department of Geography, FMIPA, Universitas Indonesia Building H, Kampus UI Depok
Location
Kota depok,
Jawa barat
INDONESIA
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)
Published by Universitas Indonesia
ISSN : -     EISSN : 25979949     DOI : http://dx.doi.org/10.7454/jglitrop
Core Subject : Science, Social,
Jurnal Geografi Lingkungan Tropik (JGLITrop) specialized to publish scientific articles that reveal a uniqueness and dynamics of tropical geographic environments, including their physical and human phenomena and interaction between those components. JGLITrop welcomes to articles about physical and human geography development, as well the combination between both and those who highlight environment dynamics from multidisciplinary approaches. Team of editorial board and peer reviewers from Department of Geography University of Indonesia and other distinguished universities and institution (e.g., BPPT, LAPAN, BIG, LIPI) guarantee the scientific quality of the paper issued in the journal.
Articles 43 Documents
Immigration Policy Analysis for South Korean Immigrants on Economic Growth in the Western Area of United Stated Diah Desita Damayanti; Rony Mamur Bishry
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol 5, No 2 (2021): December
Publisher : Open Journal System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7454/jglitrop.v5i2.123

Abstract

This study examines the analysis of immigration policy in South Koreans on economic growth in the Western Area of United States and explains which states have the potential to increase the economy in the Western Area of United States due to the economic contribution of South Korean immigrants. The data used are quantitative data and qualitative data. Quantitative data in the form of data on the population of the Western Area of United States per County, the number of South Korean immigrants per County, and the growth of income per capita per County. Meanwhile, qualitative data are in the form of various literature such as international news, scientific journals, government publications, as well as reports on immigration in the United States such as policies, immigration processes, economic growth, and South Korean immigrants living in the Western Area of United States. The method used is the congruent mixture method. collect and compile quantitative and qualitative data as well as obtain information from the interpretation process. The quantitative side uses a statistical test of South Korean immigrants on economic growth and uses cluster-outlier analysis in the GIS (Geographical Information System). Meanwhile, in terms of qualitative, quantitative test results will be elaborated with qualitative data by way of interpretation & triangulation of data as a whole. The results obtained are based on the highest number of South Korean immigrants where the high number of immigrants has an impact on grouping (clusters) and outliers (outliers) with high per capita income values in each county in the Western Area of United States as well from reading sources. In terms of validity, there are three locations, namely Los Angeles and Santa Clara in California, where the majority of immigrants work as business people, Honolulu in Hawaii, where the majority of immigrants work as sugarcane farmers, and King in Washington, where the majority of immigrants work as art workers and students.Keywords: Immigration Policy, Projection Modell, Cluster-Outlier, Spatial Dynamic, Economic Growth, South Korean Immigrants, Western Area of United States
GIS-Remote Sensing Application For Evaluation of Trade and Services Area Development in Serang City, Banten Province Adam Hastara; Nurina Rachmita; Nurwita Mustika Sari; Benedictus Kushardian
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol 5, No 2 (2021): December
Publisher : Open Journal System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7454/jglitrop.v5i2.99

Abstract

Trade and service area is an area that facilitates trade transactions and services between people in need (demand side) and people who sell services (supply-side). In determining trade areas and services, SMCE or Spatial Multi-Criteria Evaluation or spatial evaluation techniques consider many different criteria when making decisions. The method used in this paper is SMCE with Weight Overlay technique using four variables, namely roads, slopes, settlements and rivers. Weighting carried out in the analysis was made with various simulations, namely Simulation A with the same weight weighting on each variable 25%, simulation B with dominant weighting on one of the variables with a composition of 55%:15%:15%:15% and simulation C gave the highest weight to the most influential variables and gave the lowest weight to the variables that were less influential for the Trade and Service Area. In this Simulation, the road network's weight is 30%, settlements are 25%, slopes are 25%, and the rivers are 20%. The total area of 23.5 Km2 or about 8.8% of Serang City area located in the city centre with excellent accessibility, not far from residential areas, a safe distance from the river, and an area with flat marbles. Keywords: Service Area, Spatial Model, Evaluation, GIS, Serang City
Effects of Human Activities on the Afaka Afforestation Project, Kaduna North, Kaduna State, Nigeria Mamman Shaba Jibril; Mary Oluyemisi Ariyo; Ali Williams Butu; Chukwudi Nnaemeka Emeribe
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol 5, No 2 (2021): December
Publisher : Open Journal System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7454/jglitrop.v5i2.133

Abstract

The study aimed to investigate the effects of human activities on the Afaka afforestation project, Kaduna State, Nigeria. Structured interview was used to evaluate the level of community involvement in the modification of the forest project, their perceived environmental effects of land-cover loss.  Landsat images of 1986, 1999 and Sentinel-2 image of 2017 were applied for detection of changes in land use/land cover over the years (1986-2017). The study found that the land cover structure of the forest reserve has changed significantly. In 1986, area under crop cultivation was 19.24%, built-up areas, 0.08%, disturbed forest, 7.57%, gully, 2.60%, riparian vegetation, 2.78% and undisturbed forest, 61.49%. However, by 2017, there were significant changes as the area under crop cultivation 41.18%, built-up areas 0.17%, disturbed forest, 43.17%, gully 5.6%, riparian vegetation 4.66% and undisturbed forest, 1.66%, implying intensive human impacts on the Kaduna Afforestation project in recent time. This could be traced to the increased level of poverty in the community as 75% of the respondents who cannot afford alternative energy supplies such as kerosene and National grid-based electricity, rely on felling of trees for cooking. On the perceived effects of the afforestation project modification, reduced plantation size was 60.5%, decreased soil fertility 19.5%, reduced non-timber products, 11.1%, sheet erosion 6.1%, while flooding 2.8%. The result of the chi-square test reveals significant changes in the area coverage of the forest cover classification at P<0.05. Thus, it can be concluded that the afforestation project did not meet its objectives. There is need for sustainable programmes and policies towards alleviating poverty among the inhabitants of the study area most of which depend on the forest resources for livelihood. This should be followed up with policies to encourage tree planting initiatives to promote forest restoration and ecological integrity of the study area.Keywords: Afaka Afforestation Project, Land-use, Land cover, Human Activities, Remote Sensing