Garuda - Garba Rujukan Digital

Article Per Year (5 Year)

All

Indonesian Journal of Geography

ijg
Website

Published by Universitas Gadjah Mada

ISSN : 00249521 EISSN : 23549114 DOI : -

Core Subject : Science,

Earth & Planetary Sciences

Indonesian Journal of Geography ISSN 2354-9114 (online), ISSN 0024-9521 (print) is an international journal of Geography published by the Faculty of Geography, Universitas Gadjah Mada in collaboration with The Indonesian Geographers Association. Our scope of publications includes physical geography, human geography, regional planning and development, cartography, remote sensing, and geographic information system. IJG publishes its issues three times a year in April, August, and December.

Arjuna Subject : -

Articles 613 Documents

12 13 14 15 16

Dimensions and Factors of Contemporary Geography Learning Climate at Senior High School Mukminan Mukminan
Indonesian Journal of Geography Vol 50, No 1 (2018): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

This study develops the dimensions and factors of the learning climate of contemporary geography at the senior high school through the process of Exploratory Factor Analysis (EFA). This research uses Research and Development (R & D). Research respondents involved 595 experts and practitioners of geography learning in Yogyakarta, determined using stratified-purposive sampling. The calculation results give the average value of Aiken logical validity of 0.85, the value of Measure of Sampling Adequacy of 0.789, Bartlett's test of sphericity 0.000 <0. 05, a Chi square of 37.6 with df=25, p. value=0.05061, RMSEA of 0.058 <0.08, and a t value of 4.78 > 1.96 and with a significance level of 5%. These calculations have been eligible for EFA analyses. The results classify the geography learning climate into four dimensions with 16 factors. The dimensions are: (1) Student-centered learning, (2) positive relationships among students, (3) positive relationships between teachers and students, and (4) developing and strengthening classroom rules. Each dimension consists of 6, 4, 2, and 4 factors.

The Intervention of Rural Enterprise Development Hub Project on Maize Production in Mqanduli: The Implication on Food Security Status of Maize Farmers Enoch Terlumun Iortyom; Sonwabo P. Mazinyo; Werner Nel
Indonesian Journal of Geography Vol 51, No 2 (2019): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

The research analyzed the impact of the Rural Enterprise Development Hub Project (RED Hub Project) on food security of maize farmers. The data were analyzed using both inferential and descriptive statistics. Values were considered to be significant statistically where the P-value was less than 0.05. The study reveals a significant average increase in annual yield from 39.52 bags (50kg) to 87.02 bags (50kg) with a percentage increase of 120.19% per maize farm (t-statistics of 32.7 t-value and p-value of <0.05). Also, none of the maize farmers were food secure before the RED Hub project, 1 (0.5%) were mildly food insecure, 97 (48.5%) were averagely food insecure, and 102 (51%) were critically food insecure. After the RED Hub project intervention, 3.5% (7) are food secure, 104 (52%) are mildly food insecure, 76 (38%) are averagely food insecure and 13 (6.5%) critically food insecure. There was also more access and affordability of other food to meet maize farmers’ nutritional needs after the project intervention. An average of 72.5 (29.2%) beneficiaries and 99.3 (47.6%) beneficiaries respectively had access to other foods to meet their nutritional needs before and after the project intervention.

Tweets Flooded in Bandung 2016 Floods: Connecting Individuals and Organizations to Disaster Information Anang Dwi Santoso
Indonesian Journal of Geography Vol 51, No 3 (2019): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

In a natural disaster, social media has been widely used as one of the primary communication channels to supplement the traditional ones. However, there is a lack of empirical research analyzing this evidence, therefore the purpose of this study is to identify the information shared by Twitter users during the Bandung Flood of 2016 based on period, location, and account ownership. A dataset of 754 tweets was acquired using the NCapture feature in NVivo for content analysis. The study found that social media has significant benefits primarily when sharing information from affected areas to communities outside the region. In more detail, Twitter is used by 28.4%, primarily by those not impacted by the flood, to express good wishes and memorializing. It is because people in the affected area shared firsthand information (23.8%) to them. Then, in addition to citizens, media, NGOs, government, and community leaders who have been found in earlier studies, actors such as civil service organizations (2.9%) and political parties (0.5%) have also participated in disaster relief.

Towards a Global View on Suburban Gentrification: From Redevelopment to Development Delik Hudalah; Nabilla Adharina
Indonesian Journal of Geography Vol 51, No 1 (2019): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

The gentrification literature, which is originated in the urban context, has now extended to suburb. Using content analysis on previous related case studies, this article shows that suburban gentrification is not necessarily a natural phenomenon resulting from disinvestment as the neighborhood lifecycle approach commonly suggests. As long as there is a development trigger, the suburb can gentrify anytime as it generally has a lower land value and a lower risk than urban area. The private sector and government play a key role in initiating and facilitating it to happen. In suburban context, the impacts of gentrification is complex, entailing varying negative and positive implications for the physical environment, the economies, and the society.

Digital Interpretability of Annual Tile-based Mosaic of Landsat-8 OLI for Time-series Land Cover Analysis in the Central Part of Sumatra Ratih Dewanti Dimyati; Projo Danoedoro; Hartono Hartono; Kustiyo Kustiyo; Muhammad Dimyati
Indonesian Journal of Geography Vol 50, No 2 (2018): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

This paper presents an interoperability of annual tile-based mosaic (MTB) images, as well as a verification of the validity of the model for the time series land cover analysis purposes. The primary data used are MTB image of Landsat-8 of the central part of Sumatra, acquired from January 2015 to June 2017. The method used for the interoperability validation is the digital analysis of three-years time series land cover. The classification was performed with four band spectral groups. Training samples are taken from the image of 2016. The results are then reclassified to improve the overall accuracy score based on Jefferies Matusita (JM) distance. The interoperability can be measured by the average of overall accuracy (AOA) score, namely Good (scores > 80%), Fair (70.0% -79.9%), and Bad (< 70%). The results show that the use of the groups Bands 6-5-4-3-2 performs the consistent accuracy level of Good with an AOA score of 86% for six classes object. Whereas the use of the groups Bands 6-5-4-3-2, Bands 6-5-4, and Bands 6-5 shows the consistent accuracy level of Good up to four classes object with an AOA score of 89%, 82%, and 81%, respectively. It means that the annual mosaic image of MTB model is accepted for the image interoperability with an AOA score of > 80% for six and four classes object. Thus the most efficient for interoperability is the use of Bands 6-5 to analyze four class object of land cover.

Investigating Groundwater Quality in the Flood Prone Neighborhood Area in Malaysia Nasir Nayan; Yazid Saleh; Mohmadisa Hashim; Hanifah Mahat; Koh Liew See
Indonesian Journal of Geography Vol 51, No 2 (2019): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

The purpose of this study is to compare the quality of groundwater during wet and dry seasons in Malaysia especially in Kuala Krai District which frequently involved in annual monsoon floods and the question whether the wells can be used during floods as well as an alternative source when there are no floods. Six sampling stations were selected using six main parameters which included DO, pH, BOD, COD, TSS and NH3N. The assessment was conducted based on the standards set by Malaysian INWQS and the classification of WQI. The results of the analysis showed that most of the water samples taken during the wet season had concentration values that did not meet the DOE standards such as the DO, BOD, and NH3N parameters. Based on the WQI classification, majority stations during the wet season were in moderately contaminated except for station T6 which was clean. On the contrary, during a dry season were found to be clean except for station T1 which was moderately contaminated.

Dynamical Link of Peat Fires in South Sumatra and the Climate Modes in the Indo-Pacific Region Raden Putra; Deni Okta Lestari; Edy Sutriyono; Sabaruddin Sabaruddin; Iskhaq Iskandar
Indonesian Journal of Geography Vol 51, No 1 (2019): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Peat fire is one of the environmental disasters occurring widespread during the dry season in South Sumatra. The region has long been recognized to have extensive peatland, hence it is considered as the vulnerable areas to fire. This study employs spatial analysis to evaluate the likely linked factors causing peat fire in the study area. Two interannual climate modes such as the El Niño – Southern Oscillation and Indian Ocean Dipole were considered to have affected the area with respect to climate anomaly at the 1995-2016 periods. This phenomenon was followed by the peat fire in many areas. There appears a close linkage between the occurrence of peat fires and climate anomaly. A number of hotspots tend to occur annually during the drought season. A significant number of hotspots took place during the 2006 pIOD and 2015 El Niño events due to a significant decrease in rainfall intensities.

Change Detection in Landuse/ Landcover of Abeokuta Metropolitan Area, Nigeria Using Multi-Temporal Landsat Remote Sensing Adebayo Oluwasegun Hezekiah; Otun. W. O; Daniel, I. Samuel
Indonesian Journal of Geography Vol 51, No 2 (2019): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

This research paper examined the changes in land use/ land cover of Abeokuta, Nigeria between 1984 and 2015 using Multi-Temporal Landsat Remote Sensing paired with Geographic Information System (GIS) techniques. The evaluation of the trend, rate and magnitude changes was the objectives of this study. Five Landsat satellite images of different dates, i.e., Landsat Thematic Mapper (TM) of 1984, 2001, 2006, 2011 and 2015 with spatial resolution ranging from 15, 30 and 60metres were obtained from National Aeronautics Space Administration(NASA),United State Geological Survey Website and GIS facility of Sioux Falls Website and quantify the changes over a period of thirty-one (31) years. Supervised classification methodology was applied to the acquired multi-band raster imageries using maximum livelihood technique in ERDAS Imagine 9.3. The images of the study area were classified into three (3) classes namely; vegetation, water body and built-up area and were overlay with vector maps of the study area generated in ArcGIS 10. The results show that for the period of 31years (1984-2015), vegetation which covered 76.20% of the total area has decreased to 39.29%, water body decreases from 6.63% to 1.89% while the built –up area which initially was 17.14% as at 1984 increased to 58.82%. The study, however, recommended that there is a need for a timely Land use/ Land cover mapping of the entire Abeokuta and its environs in order to reduce the effects of undiscrimate land utilization in the area. This will also facilitate necessary Land use planning and forestall the rising sprawl not only in Abeokuta but also in other urban centres.

Economic Value of Forest Hydrological Benefit of Musi Watershed: Case of Perapau Sub Watershed Nur Arifatul Ulya
Indonesian Journal of Geography Vol 51, No 1 (2019): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Forest area in upper Perapau sub watershed that provide a hydrological benefit for community living surrounding are now partially converted to plantations, dry land farms and paddy fields, whereas the forests are part of protected forest and wildlife reserve. The land cover change occurs due to lack of understanding about economic value of hydrological benefits of forests in the Perapau sub watershed. This study aims to determine the economic value of hydrological benefits of forests in Perapau sub watershed. Procurement cost method used to estimate the economic value of the hydrological benefits of the Perapau sub watershed. The economic value of hydrological benefits for household and agricultural purposes is 1.712 trillion rupiah and 11.056 billion rupiah. Based on the economic value of hydrological benefit, sustainability of forest in the upstream of Perapau sub watershed must be supported for sustainability of hydrological services of watershed.

Percent of building density (PBD) of urban environment: a multi-index approach based study in DKI Jakarta Province Ardiansyah Ardiansyah; Revi Hernina; Weling Suseno; Faris Zulkarnain; Ramadhani Yanidar; Rokhmatuloh Rokhmatuloh
Indonesian Journal of Geography Vol 50, No 2 (2018): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

This study developed a model to identify the percent of building density (PBD) of DKI Jakarta Province in each pixel of Landsat 8 imageries through a multi-index approach. DKI Jakarta province was selected as the location of the study because of its urban environment characteristics. The model was constructed using several predictor variables i.e. Normalized Difference Built-up Index (NDBI), Soil-adjusted Vegetation Index (SAVI), Normalized Difference Water Index (NDWI), and surface temperature from thermal infrared sensor (TIRS). The calculation of training sample data was generated from high-resolution imagery and was correlated to the predictor variables using multiple linear regression (MLR) analysis. The R values of predictor variables are significantly correlated. The result of MLR analysis shows that the predictor variables simultaneously have correlation and similar pattern to the PBD based on high-resolution imageries. The Adjusted R Square value is 0,734, indicates that all four variables influences predicting the PBD by 73%.

Page 14 of 62 | Total Record : 613

12 13 14 15 16

Filter by Year

1986 2025

Filter By Issues

All Issue Vol 57, No 3 (2025): In Progress Issue Vol 57, No 2 (2025): Indonesian Journal of Geography Vol 57, No 1 (2025): Indonesian Journal of Geography Vol 56, No 3 (2024): Indonesian Journal of Geography Vol 56, No 2 (2024): Indonesian Journal of Geography Vol 56, No 1 (2024): Indonesian Journal of Geography Vol 55, No 3 (2023): Indonesian Journal of Geography Vol 55, No 2 (2023): Indonesian Journal of Geography Vol 55, No 1 (2023): IN PROGRES Vol 55, No 1 (2023): Indonesian Journal of Geography Vol 54, No 3 (2022): Indonesian Journal of Geography Vol 54, No 2 (2022): Indonesian Journal of Geography Vol 54, No 1 (2022): Indonesian Journal of Geography Vol 53, No 3 (2021): Indonesian Journal of Geography Vol 53, No 2 (2021): Indonesian Journal of Geography Vol 53, No 1 (2021): Indonesian Journal of Geography Vol 52, No 3 (2020): Indonesian Journal of Geography Vol 52, No 2 (2020): Indonesian Journal of Geography Vol 52, No 1 (2020): Indonesian Journal of Geography Vol 51, No 3 (2019): Indonesian Journal of Geography Vol 51, No 2 (2019): Indonesian Journal of Geography Vol 51, No 1 (2019): Indonesian Journal of Geography Vol 50, No 2 (2018): Indonesian Journal of Geography Vol 50, No 1 (2018): Indonesian Journal of Geography Vol 49, No 2 (2017): Indonesian Journal of Geography Vol 49, No 1 (2017): Indonesian Journal of Geography Vol 48, No 1 (2016): Indonesian Journal of Geography0 Vol 48, No 2 (2016): Indonesian Journal of Geography Vol 48, No 1 (2016): Indonesian Journal of Geography Vol 47, No 2 (2015): Indonesian Journal of Geography Vol 47, No 1 (2015): Indonesian Journal of Geography Vol 46, No 2 (2014): Indonesian Journal of Geography Vol 46, No 1 (2014): Indonesian Journal of Geography Vol 45, No 2 (2013): Indonesian Journal of Geogrphy Vol 45, No 1 (2013): Indonesian Journal of Geography Vol 44, No 2 (2012): Indonesian Journal of Geography Vol 44, No 1 (2012): Indonesian Journal of Geography Vol 43, No 2 (2011): Indonesian Journal of Geography Vol 43, No 1 (2011): Indonesian Journal of Geography Vol 42, No 2 (2010): Indonesian Journal of Geography Vol 42, No 1 (2010): Indonesian Journal of Geography Vol 41, No 2 (2009): Indonesian Journal of Geography Vol 41, No 1 (2009): Indonesian Journal of Geography Vol 40, No 2 (2008): Indonesian Journal of Geography Vol 40, No 1 (2008): Indonesian Journal of Geography Vol 39, No 2 (2007): Indonesian Journal of Geography Vol 38, No 1 (2006): Indonesian Journal of Geography Vol 37, No 2 (2005): Indonesian Journal of Geography Vol 37, No 1 (2005): Indonesian Journal of Geography Vol 36, No 2 (2004): Indonesian Journal of Geography Vol 36, No 1 (2004): Indonesian Journal of Geography Vol 35, No 2 (2003): Indonesian Journal of Geography Vol 26, No 28 (1994): Indonesian Journal of Geography Vol 21, No 62 (1991): Indonesian Journal of Geography Vol 21, No 61 (1991): Indonesian Journal of Geography Vol 20, No 60 (1990): Indonesian Journal of Geogrphy Vol 20, No 59 (1990): indonesian journal of geography Vol 18, No 56 (1988): Indonesian Journal of Geogrphy Vol 18, No 55 (1988): Indonesian Journal of Geogrphy Vol 16, No 52 (1986): Indonesian Journal of Geography Vol 16, No 51 (1986): Indonesian Journal of Geogrphy More Issue

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
-

Editorial Address
-

Location
Kab. sleman,

Daerah istimewa yogyakarta

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name -

Contact Email -

Phone -

Journal Mail Official -

Editorial Address -

Location Kab. sleman, Daerah istimewa yogyakarta INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
-

Editorial Address
-

Location
Kab. sleman,

Daerah istimewa yogyakarta

INDONESIA