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INDONESIA
Indonesian Journal of Geography
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 633 Documents
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Identification of the Main Water Quality Parameters for Monitoring and Evaluating Watershed Health Pranatasari Dyah Susanti; Nining Wahyuningrum
Indonesian Journal of Geography Vol 52, No 2 (2020): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.47280

Abstract

Water quality is one of the crucial parameters in monitoring and evaluating watersheds. A large number of parameters causes the monitoring and evaluation of watershed performance to be less efficient and costly. This study aims to determine the main parameters as a method of simplifying water quality observation parameters by producing equations that can be used to predict the level of pollution of a non-point source pollutant (watershed). A sampling of surface water was carried out by purposive sampling at several outlets located in the Brantas and Upper Solo watersheds. The research parameters analysed were: TSS, TDS, BOD, COD, Phenol, Free Chlorineine, Sulfide, Arsenic, Fe, Pb, Phosphate, Nitrate, Nitrite, Detergent, Turbidity and E. Coli. The results of the analysis of water quality are used to calculate the value of the Pollution Index (PI) according to the Decree of the Minister of Environment No. 115 of 2003 and to determine the class of water quality standards that refer to Class III water quality standards, in Government Regulation No.82 of 2001. The analysis showed that all samples were at mild to moderate pollution levels, and did not meet class III water quality standards. Multiple regression analysis produced two equations, namely: Model 1: PI = 3.952 + 91.668 Phenol and Model 2: PI = 3.086 + 80.167 Phenol + 0.152 BOD, with R squared values of 53% and 69.9% with a confidence level of 0.005. Thus the prediction of pollution levels of similar watershed can be made only by using the two most influential parameters namely phenol and/or BOD alone.   
Wisdom of Indigenous and Tacit Knowledge for Disaster Risk Reduction Furqan Ishak Aksa
Indonesian Journal of Geography Vol 52, No 3 (2020): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.47321

Abstract

This article aims to identify the types of knowledge needed in reducing the risk of disasters and challenges in applying knowledge. Based on the literature review, this article analyzes various kinds of knowledge, the process of knowledge creation, and the challenges of knowledge transmission. Basically, knowledge consists of explicit and tacit knowledge. In the context of disasters, most of the knowledge is tacit in individual local people (indigenous knowledge). Tacit knowledge can motivate someone to make decisions (act) when a disaster occurs. To be understood and disseminated to the wider community, tacit knowledge needs to be converted into explicit knowledge and scientifically validated. This article proposes the importance of integrating tacit knowledge in the form of local knowledge to become explicit knowledge so it can be widely used. Knowledge built in a bottom-up manner, which comes from local knowledge, is believed to be effective in disaster risk reduction. However, in some countries, the process of applying the knowledge is constrained by a fatalism that is influenced by social culture and religious beliefs.
The Effect of Land Unit Elimination on The Conservation Activity Plan at Air Bengkulu Watershed, Bengkulu Province Bambang Sulistyo; Muhammad Faiz Barchia; Kanang Setyo Hindarto; Noviyanti Listyaningrum
Indonesian Journal of Geography Vol 52, No 2 (2020): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.48578

Abstract

To enable conservation of degraded land requires Map of Conservation Activity Plan (CAP). The map is established based on a model developed by the then Ministry of Environment and Forestry. One step to analyze the CAP is land unit elimination (LUE) having area of < 1 cm2. This study aimed to determine the effect of LUE on the CAP at Air Bengkulu Watershed. Maps used for input to CAP are EHL (Erosion Hazard Level), Soil Depth, Slope, Population Pressure, and the Recommended Landuse, whereas to calculate EHL requires R, K, LS, C, and P Factors. CAP Map as a result without involving LUE is compared to the CAP Map with involving LUE. The research result showed that the LUE influences on the change of the recommended of the CAP up to 77.6% of the total area of the study, either in engineering recommended or in vegetatively recommended conservation, while the rest (22.4%) were unchanged. 
Testing a detailed classification scheme for land-cover/ land-use mapping of typical Indonesian landscapes: case study of Sarolangun, Jambi and Salatiga, Central Java Projo Danoedoro; Irvan Nurrahman Ananda; Candra Sari Djati Kartika; Assyria F Umela; Alvidita Beatrix Indayani
Indonesian Journal of Geography Vol 52, No 3 (2020): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.50080

Abstract

Land-cover/land-use (LCLU) mapping is an important activity to produce very useful information to support  various sectors, such as land supply, spatial planning, disaster mitigation, and agricultural development.  In Indonesia, a LCLU classification scheme has been developed at a scale of 1: 50,000, but it still requires an evaluation due to its advantages and limitations. This study tried to apply a classification scheme for LCLU-based on SNI 7645-1 2014 for two regions in Indonesia with different landscape characteristics, i.e.  Sarolangun in Jambi and Salatiga and surroundings in Central Java.. The trial was conducted by developing methods of Landsat-8 satellite image analysis and interpretation combining digital processing and manual delineation. Based on this research, a number of 52 LCLU classes were identified  in Sarolanguni and 32 classes were found in Salatiga and surrounding areas. The validation showed that the LCLU map of Jambi region reached 80.75.% of total accuracy, while that of Salatiga and surroundings reached 88.7%.  Different accuracies found related to the number of classes produced, the pattern of relationship between LCLU with the existing landform characteristics, and the quality of images due to cloud cover. 
Geographical Appraisal of Gender Disparity and Progress in Literacy of Haryana, India Manju Sharma; Sandeep Kumar
Indonesian Journal of Geography Vol 52, No 2 (2020): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.50231

Abstract

The present research relates to the northern state of Haryana in India and to find out the objective of advancement and the existing gender gap in literacy with identification of responsible factors, the study uses the secondary data obtained from different censuses of India, National Crime Record Bureau and various other related sources. The disparity index is calculated to examine the gender gap in literacy whereas the correlation coefficient is used to ascertain its relationship with major determinants. Though the country and the state have achieved a reputed position with the literacy rate of 74.04 and 75.55 per cent respectively in 2011 yet inequality in the learning of male-female is a matter of concern for both entities. The figure for the district Mewat (which also lies at bottom in overall literacy as per ongoing census data) shows more discrimination in male-female learning, as here the male literacy rate is approximate to the double (69.97 per cent versus 36.60 per cent) of the females.  To some extent, in areas like Mewat, Palwal and Fatehabad this discrimination is an outcome of societal stances, religion, fiscal or ethnical determinants and cultural stereotype as these factors of the environs have a direct or indirect association with literacy. So to ensure the equality and quality in education in basic or compulsory education, there is a need for massive investment on resources with communal awareness regarding significance as well as claptrap obstacles in the way of the learning.
A Lesson Learn from Empowerment Program of Integrated Cassava-Tapioca Agroindustry Actors in Pati District, Indonesia Eva Banowati
Indonesian Journal of Geography Vol 52, No 2 (2020): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.50405

Abstract

Frequently, empowering models for cassava farmers is programmed by government, but unsuitable to socio-geographic conditions, such as in Pati District. This study was aimed to depict social knowledge and lesson learn of cassava-tapioca agroindustry actors, and to understand the farmers’ acceptance, before and after the empowering program. The cassava farmer’s and tapioca producer’s knowledge and lesson learn were collected from 35 farmers and 19 tapioca producers.  After empowering program, farmers asked to cultivate Cassesart cassava variety (UJ-5). However, the UJ-5 productivity that was planted in 65.40 Ha were declined. While, tapioca industries were also not directly increased farmers’ welfare. Farmers’ perspective in farming process was not changed after empowerment programs. Thirty-four farmers were not ready to build up new information. While, 16 from 19 tapioca producers (84.21%) object to improve labor quality and welfare. The founded result was associated with conventional farming practices, low price product and education background in Pati District, and was increasingly weakened by limited knowledge transfer of modern farming. 
Sustainable Livelihood Strategies: How Urban Community Resilient Towards Disaster? Navila Ulfi Fauziyanti; Dyah Rahmawati Hizbaron
Indonesian Journal of Geography Vol 52, No 2 (2020): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.50530

Abstract

It has been more than a decade after 5.9 SR earthquakes hit one of the most destructed area Tembi Hamlet, Bantul District, Yogyakarta Province. Amidst the wreaking havoc, the area gained its resilient in no time. This research, aimed to 1) explore what are the factors influential towards local resilient, especially micro-small-medium enterprises; and 2) analyze strategies to tackle disaster. It employed mix method, while the key questions were developed using “Sustainable Livelihood Approach” by DFID, geared with “Pentagram Asset” mapping for each spatial and temporal unit. The result revealed that 1) the micro-small-medium enterprises in urban area are resilient towards earthquake due to fair physical, natural and financial assets management and abundant social, human and political assets. These assets have created enabling environment towards behavioral change of urban society; 2) Despite various livelihood strategies existed in urban areas, the research highlighted three types of livelihood strategies within disaster risk management perspective, i.e. survival (disaster), consolidation by no-change plan mechanism and accumulation strategies by change plan mechanism (post disaster). Critically, pentagram assessment is able to identify feasible local assets and activities, however it left the policy, institution, interaction and multi sector aspects from the spotlight. Herewith, the research proposes evaluation scan to rethinking sustainable livelihood approach within disaster risk management by adding these aspects into the observation. It also revealed that local autonomous initiatives to extend urban based economic activities and supported by abundant political interest play pivotal role in disaster management at developing countries.
Assessment of Gap-Filling Interpolation Methods for Identifying Mangrove Trends at Segara Anakan in 2015 by using Landsat 8 OLI and Proba-V Sanjiwana Arjasakusuma; Abimanyu Putra Pratama; Intan Lestari
Indonesian Journal of Geography Vol 52, No 3 (2020): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.50556

Abstract

The existence and services of mangrove ecosystems in Segara Anakan are threatened by changes in land use on land and global warming, which requires proper and intensive monitoring. The monitoring of mangrove and its trend over large areas can be done using multi-temporal remote sensing technology. However, remote sensing data is often contaminated by cloud cover, and its corresponding shadow resulted in missing data. This study aims to assess the performance of the existed gap-filling techniques, such as, linear, spline, stineman,  data interpolation Empirical Orthogonal Function (dineof) and spatial downscaling strategy employing the Proba-V imagery in 100 m, when being used for estimating the missing data and depicting the trend in NDVI from Landsat 8 OLI by using Mann-Kendall test. Our result suggested that EOF-based interpolation gave better prediction results and more accurate in predicting longer missing data. Linear interpolation, on the other hand, was accurate to predict shorter missing data. Overall, all interpolation results can reconstruct 64 (spline) to 72 % (dineof) of missing data in NDVI with the RMSE of 0.10 (dineof) – 0.13 (spline). A consistent decreasing trend was also found from the four interpolation methods, which showed the consistency of the interpolated values when used for deriving trends with similar patterns of overall decreasing trend and magnitude of changes of -0.0095 to -0.0099 (NDVI unit) over the mangrove areas in 2015. The result demonstrated the potential ability of gap-filling methods for simulating the value of missing data and for deriving trends.
Simulation of Daily Rainfall Data using Articulated Weather Generator Model for Seasonal Prediction of ENSO-Affected Zones in Indonesia Andung Bayu Sekaranom; Emilya Nurjani; Rika Harini; Andi Syahid Muttaqin
Indonesian Journal of Geography Vol 52, No 2 (2020): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.50862

Abstract

Synthetic rainfall simulation using weather generator models is commonly used as a substitute at locations with incomplete or short rainfall data. It incorporates a method that can be developed into forecasts of future rainfall. This study was designed to modify a rainfall prediction system based on the principles of weather generator models and to test the validity of the modelling results. It processed the data collected from eight rain stations in zones affected by El-Nino Southern Oscillation (ENSO). A large-scale predictor, that is, SST prediction data in the Nino 3.4 region over the Pacific Ocean was used as the influencing variable in projecting rainfall for the following six months after the predefined dates. Rainfall data from weather stations and SST in 1960-2000 were analyzed to identify the effects of ENSO and build a statistical model based on the regression function. Meanwhile, the model was validated using the data from 2001 to 2007 by backtesting six months in a row. The analysis results showed that the model could simulate both low rainfall in the dry season and high one in the rainy season. Validation by the student's t-test confirmed that the six-month synthetic rain data at nearly all observed stations was homogenous. For this reason, the developed model can be potentially used as one of the season prediction systems.  
3D Modeling of Subsurface Lawanopo Fault In Southeast Sulawesi, Indonesia Using Grablox and its Consequence to Geohazard Triani Triani; Rofiqul Umam; Sismanto Sismanto
Indonesian Journal of Geography Vol 53, No 1 (2021): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.50878

Abstract

Lawanopo Fault is a horizontal shear fault (sinistral strike-slip) found in Southeast Sulawesi province and is thought to be active during Plio-Pleistocene or mid-late Miocene to the present. This study has been carried out which aims to find out the geometric shapes below the surface of the Lawanopo fault using complete Bouguer anomaly (ABL) data.  The ABL data is projected onto a flat plane using the Dampney method at an altitude of 8 km, and the separation of local and regional anomalies is carried out using the upward continuation method at an altitude of 60 km. Three-dimensional (3D) modeling under the surface of the Lawanopo fault is done using the computer program Grablox. Data processing techniques using Singular Value Decomposition (SVD) and Occam inversion. The results showed that a high gravity anomaly of 190-225 mGal was caused by an igneous rock below the surface with a density of 2.7-3.33 gr/cm3 and a thickness of about 13 km, a moderate anomaly of 175-187 mGal caused by Paleozoic igneous rocks aged Carbon with a density of 2.6-2.9 gr/cm3 and a thickness of about 25 km. Low anomaly 115-160 mGal is caused by rocks with a density of 2.0-2.5 gr/cm3 and a thickness of about 22-23 km. The Lawanopo fault constituent rocks consist of alkaline rocks in the basement covered by sediment and metamorphic with a depth of Lawanopo fault more than 15 km and begin to be seen at a depth of 4.3 km of the surface. it is known that the area around the Lawanopo fault is an area prone to earthquakes. But, based on the soil and rock structure around the Lawanopo fault, the compactness and attenuation levels in reducing earthquake waves are quite good, so that land use around the Lawanopo fault tends to be safe.

Page 21 of 64 | Total Record : 633

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