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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 613 Documents
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Dynamic of Migration lifestyle and settlement of nomad in Bali, Indonesia Wibowo, Tangguh Okta
Indonesian Journal of Geography Vol 56, No 2 (2024): 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.90856

Abstract

This research highlights the lifestyle of digital nomads, which is becoming a more common lifestyle in today's digital age. Bali is one of the most popular destinations for nomads. This research aims to explore the motivations of digital nomads in Bali. The research uses the case study research method by mapping several informants as research subjects. This article discusses the experiences of foreign tourists in Bali, particularly digital nomads, and the migratory lifestyle. It explores conversations and perspectives on Bali's attractiveness, working life, cultural interaction, and modern mobility. The findings show that the concept of 'nomad' is associated not only with high levels of mobility, but also with individuals who have chosen to settle in Bali due to finding the culture and lifestyle appealing. Modern mobility reflects the search for meaning in one's life experiences, which may include a search for stability and a depth of experience in one place. Furthermore, the discussion examines that the emergence of Bali's digital nomad community brings both economic benefits and challenges of overtourism on local communities.
Flood Vulnerability Analysis Based on GIS and Remote Sensing at Silat Hulu Purwanto, Ajun; Andrasmoro, Dony; Eviliyanto, Eviliyanto
Indonesian Journal of Geography Vol 56, No 2 (2024): 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.91114

Abstract

A flood is a natural disaster that may happen anywhere and anytime. These disasters have become an annual cycle in Indonesia, and it is important to be swift in their mitigation and control. This study aims to determine the vulnerability of flooding in Silat Hulu and the extent of the area likely to be submerged. The method used was survey and secondary interpretation data. Data was from topographic maps, Sentinel 2A images, and 10 x 10 m resolution DEM images acquired on November 21, 2021, obtained from the ALOS PALSAR imagery. Data analysis using ArcGIS 10.8, using the weighted overlay spatial analysis tool. The results showed that the study location had three flood vulnerability classes: low, medium, and high. The locations with low vulnerability classes have an area of 2,921 ha, moderate have 32,683 ha, and high have 28,208 ha. Low flood vulnerability is spread to a small extent in Nangau Luan, Nangau Lungu, and Landau Badai villages. The level of vulnerability is mostly in Nangau, Nangau Lungu, and Landau Storm. The high level of vulnerability is mainly spread in the villages of Nangau Dangkan, Blimbing, Nangau Ngeri, and Nangau Lungu. GIS and remote sensing approaches are practical tools for flood-prone maps. Furthermore, GIS-based flood vulnerability mapping and remote sensing are valuable tools for estimating flood vulnerability areas.
Runoff Coefficient in the Air Bengkulu Watershed and the Evaluation of the Existing Spatial Planning Sulistyo, Bambang; Adiprasetyo, Teguh; Murcitro, Bambang Gonggo; Purwadi, Agus Joko; Listyaningrum, Noviyanti
Indonesian Journal of Geography Vol 56, No 2 (2024): 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.91397

Abstract

Runoff coefficient plays a crucial role in estimating the peak discharge of a river basin. Therefore, this research aimed to investigate runoff coefficient in the Air Bengkulu watershed based on temporal land cover data and evaluate the existing spatial planning. Land cover data from 1998, 2002, 2016, and 2023, with spatial patterns derived from current regional planning were used. The temporal and spatial pattern-based runoff coefficients were determined using land cover data and spatial pattern function, respectively. Meanwhile, descriptive and comparative methods were adopted based on time. The calculated runoff coefficient was 0.073, 0.093, 0.276, and 0.273 for 1998, 2002, 2016, and 2023, while the value obtained based on spatial patterns was 0.306. Additionally, a general trend of increasing the values over time was observed. Land cover change, particularly the decline of forest areas and the expansion of settlement and plantation, contributed to the rising runoff coefficient. The results showed that runoff coefficient (0.306) exceeded the current land cover, similar to other analyses with higher runoff in the predicted scenario. This research suggested a need for a more detailed classification system and scale to accommodate land cover types with relatively low runoff coefficient. In risk assessment, land cover-like spatial patterns with low runoff coefficient should be placed as capacity other than vulnerability components.
Ancient Disaster, the Cause of the Burial of the Kumitir Archeological Site Widodo, Amien; Rochman, Juan Pandu Gya Nur; Fajar, M. Haris Miftakhul; Roslee, Rodeano; Nugroho, Wicaksono Dwi
Indonesian Journal of Geography Vol 56, No 2 (2024): 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.91875

Abstract

The Kumitir site, associated with the Majapahit Empire, is a significant archeological discovery. Archeologists from the East Java  Cultural Heritage Preservation Center (BPCB), uncovered a structure at this site, buried beneath boulder-sized rocks. According to historical literature, the collapse of Majapahit was caused by volcanic eruptions from the Anjasmoro, Arjuno, or Welirang complexes. Therefore, this study aimed to recreate the gravity-driven mass flow covering the Kumitir Site. Geological surveys, including sediment structure analysis and grain orientation measurements, were conducted to provide new information on paleocurrent and ancient sedimentary processes at the site. Digital Elevation Map (DEM) and the Laharz simulation tool facilitated the creation of reconstructed lahar flow maps using open-source DEM data with an eight-meter resolution. The results of the boulder analysis showed that a paleochannel played a significant role in the burial site, with two sources identified, namely Mount Welirang (Welirang alluvial fan) and the Anjasmoro complex (Old Jatirejo alluvial fan). Meanwhile, the combination of methods applied signified the direction of the Welirang alluvial fan (ESE-NNW) and the Jatirejo Tua alluvial fan (SSW-NNE). Volumes of 9 million m3 and 65 million m3 were the most relevant parameters for estimating the lahar flows of the western and eastern craters, respectively.
The Relationship of Microplastic Abundance, Flow Rate Discharge and Drainage Profile in Bandar Lampung City, Lampung Province, Indonesia Alam, ‪Firdha Cahya; Fajar, Mutiara; Patricia, Ester; Novelila, Alisha; Mawaddah, Nurul; Sari, Novi Kartika
Indonesian Journal of Geography Vol 56, No 2 (2024): 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.93040

Abstract

The research on microplastics in urban drainage is becoming a concern. In the drainage of Bandar Lampung city, four different anthropogenic activities were investigated: road runoff, industrial activity, public place, and housing area. This study investigated the abundance, characteristics and distribution of microplastics (MPs) through drainage systems in dry weather. A total of sixteen drainage water samples were collected using grab sampling with a horizontal water sampler. Under microscope observation combined with a needle test, the average abundance of MPs was found 3.97±3.4 particles/L, with fibers as the dominant type of MPs. The order of MPs' abundance was industrial area > public area > transportation area > housing area. However, this number of MPs tends to be lower compared to other reported studies. The size of MPs mostly ranged from 500 - 1500 µm (36%). The color of MPs was amply diverse, with blue being in the dominant proportion (43%). Other studies also reported similar findings regarding the type and size range. Through Raman spectroscopy, the identification of polymer types indicated the presence of polyethylene terephthalate. From the correlation analysis, it was found that there was a positive correlation between the abundance of MPs and flow rate discharge, though with a low relationship (r=0.46). This result can be influenced by several factors such as the effects of multiple land use types and pollution sources. The significance of this research lies in its contribution to understanding the extent of microplastic pollution and its potential environmental impact on the Lampung water body.
Synoptic Conditions at Pressure Different Levels for the Dust Storm of May/ 2022 Over Iraq Al-khakani, Ebtihal; Hamed, Alyaa Matai
Indonesian Journal of Geography Vol 56, No 2 (2024): 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.93329

Abstract

This study examines the severe dust storm from May 12-16/2022,culminating on May 15, with a comprehensive analysis and explanation. The weather maps from the National Oceanic and Atmospheric Administration (NOAA) and the European Centre for Medium-Range Weather Forecasts (ECMWF) weather maps were used to identify systems and patterns that contributed to the storm's activity, continuity, and tracking as well as maps of pressure compounds and wind vectors in levels 1000 and 850 mbar that appear with the dust state for the same days accompanied by tracking patterns in the middle of the turbosphere 500 mbar to give a comprehensive analytical view of climate conditions at each level of pressure and higher systems supportive of their persistence on the surface. The northwesterly winds are the main factor that carries dust over long distances. The eastern desert in Syria, the Empty Quarter in the Kingdom of Saudi Arabia, the desert of western Iran, and the desert region of western Iraq are among the main sources of dust In its atmosphere. Based on weather maps of the surface and upper levels of storm days, the concentration of dust reached very high levels in Iraq's airspace and surrounding countries, including Egypt, Jordan, Lebanon, Palestine, and Syria. The intensity of the dust gradually decreased as the area was affected by wet westerly winds with relatively low temperatures and a relative increase in wind speeds due to the impact of the study area on the atmospheric decline centered around the Turkish island of Cyprus.
Exploring Aceh Fault Zone for Slip Rates and Paleoseismic Trenching Potential along Sumatran Fault Marliyani, Gayatri Indah; Hady, Aulia Kurnia; Klinger, Yann; Setianto, Agung; Helmi, Hurien; Kurniawan, Telly; Kambali, Retno Agung Prasetyo; Sugito, Zulham; Jihad, Abdi; Setiawan, Yosi; Rusdin, Andi Azhar; Rohadi, Supriyanto; Triyono, Rahmat; Karnawati, Dwikorita
Indonesian Journal of Geography Vol 56, No 1 (2024): 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.93456

Abstract

We conducted a study on the Aceh Fault, an active right-lateral strike-slip fault in northern Sumatra, Indonesia. Despite its seismic hazard potential, the slip characteristics of this fault are not well-understood. Using a combination of remote sensing and field methods, we mapped the distribution of displacement recorded by offset channels along the fault. Our goal is to identify evidence of past surface rupture, characterize their tectonic geomorphology setting, and assess their potentials as slip-rate and paleoseismic sites. The documented right-lateral displacements of channels and ridges from 35 observation points are mostly in the order of magnitude of hundreds of meters, with only a few sites exhibiting meter-scale measurable offsets. Our results provide important first-order data that can be used to locate sites suitable for paleoseismic trenching or offset investigations. This information will support the development of a maximum magnitude and earthquake recurrence model of the fault, which are crucial for seismic hazard analysis in the region.
Assessment of Flood Risk Induced by Land Subsidence Using Machine Learning Yuwono, Bambang Darmo; Sabri, L. M.; Wijaya, A. P.; Awaluddin, M.
Indonesian Journal of Geography Vol 56, No 3 (2024): 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.94726

Abstract

Semarang City is facing significant environmental challenges, with land subsidence being a critical issue that intensifies flood inundation and worsening flood damage. As urban areas expand and climate change impacts become more pronounced, understanding and mitigating flood risks are crucial for sustainable urban development and disaster management. Therefore, this study aimed to assess flood risk induced by land subsidence using machine learning to improve flood management. Five different machine learning models (MLMs) were used to assess flood risk, which included Decision Tree (DT), K-Nearest Neighbor (KNN), Logistic Regression (LR), Support Vector Machine (SVM), and Random Forest (RF). Additionally, fourteen different indices and 2884 sample points were used to train and test the models, with hyperparameter optimization ensuring fairness in comparisons. To address uncertainty in the sample dataset, flood hot spots were used to validate the rationality of flood risk zoning maps. The study investigated driving factors of different flood risk levels, focusing on flood areas to determine flood risk mechanisms in the highest-risk areas. The results showed that KNN performed the best and provided the most reasonable flood risk value among the models. Meanwhile, curve number (CN), distance to the river (DTRiver), and Building Density (BD) were identified as the top three significant factors of flood risk, ranked using the average score decrease in KNN model. Finally, this study expanded the application of machine learning for flood risk assessment and also deepened understanding of the potential mechanisms of flood risk, and provided perceptions about better flood risk management.
Creative Class Mobility and Quality of Life: Migration of Creative Class from Istanbul to Izmir Shah, Khurshid Ahmad; Gokcen, Sebnem
Indonesian Journal of Geography Vol 56, No 3 (2024): 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.81587

Abstract

The place attractiveness determines the movement of creative people in a city. Young and skilled people migrate to Izmir from istanbul because Izmir offers higher standards of life with respect to social indicators and tolerance for people who are different than others. It was observed from the migrated creative people that Izmir has the social and cultural advantage over istanbul to attract these free-thinking talented people. In the case comparative study, it was evident that Izmir has the potential to be creative milieu to develop into creative smart city in the region but Istanbul has some negative externalities such as over population, inaccessibility, conservatism, expensive city. This paper examines the migration of creative professionals from Istanbul to Izmir, testing Florida’s creative class concept and the 3T model (Talent, Technology, Tolerance) via QoL parameters regarding creative migration. A mixed-method approach was used to gather and analyse both quantitative and qualitative data for locational preferences of the creative class. The study finds that young, innovative individuals are attracted to cities with high tolerance, advanced technology, and favourable work conditions. These factors not only enhance their quality of life but also drive economic growth and job creation in Izmir, highlighting that while quality of life attracts talent, career opportunities are crucial for their retention.
Estimation of Nitrogen Content of Rice Crops Using Sentinel-2 Data Agustina, Heni; Jaelani, Lalu Muhamad; Sanjaya, Hartanto
Indonesian Journal of Geography Vol 56, No 3 (2024): 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.88571

Abstract

Nitrogen (N) is one of the most essential nutrients for rice crops. Farmers generally provide Nitrogen requirements in rice through fertilization, but the fertilization process is only based on an estimation without calculating the amount needed first. However, neither insufficient nor excessive nitrogen content is good for rice crops, and the nitrogen needs of rice crops are different at each growth stage. The nitrogen requirement in the generative phase is relatively high because the process of panicle formation and grain filling occurs at this stage. Several methods can be used to monitor nitrogen content in rice, one of which is using remote sensing methods. With the vegetation index approach, the nitrogen content of rice plants is estimated through data analysis of the light spectrum reflected by the leaf. Sentinel-2 satellite imagery was used in this research, and several vegetation indexes such as OSAVI, GNDVI, and SRRE were applied to form an estimation model using the regression method. From the results, three vegetation indexes positively correlate with nitrogen content in rice crops. The SRRE index gives the highest correlation coefficient value of 0.692, while the correlation coefficient value for GNDVI is 0.498, and OSAVI is only 0.470. The estimation map of the nitrogen content of rice crops was obtained based on the estimation model made by linear regression between SPAD-based nitrogen content data and the best vegetation index using the SRRE index. The analysis shows that the nitrogen content of rice plants estimated in the paddy fields of Karangjati Subdistrict is dominated by nitrogen values with optimum classification.

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