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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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Spatiotemporal Characteristics and Trend of Puting Beliung Across the Indonesian Archipelago Kiki, Kiki; Koesmaryono, Yonny; Hidayat, Rahmat; Perdinan, Perdinan; Permana, Donaldi Sukma
Indonesian Journal of Geography Vol 57, No 2 (2025): 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.103901

Abstract

Puting beliung (PB), or small-scale tornado, is a significant and under-researched extreme weather phenomenon in Indonesia, often causing severe damage to infrastructure and posing risks to public safety despite their brief localized nature. Therefore, this research aimed to examine spatial and temporal patterns and trends of PB events across Indonesia from 2011 to 2024, applying statistical analysis, geospatial mapping, and the Mann-Kendall trend test to a database of 2,434 PB events. The results showed that PB events primarily cluster in western and central regions, specifically on Java Island, and the highest frequencies were observed in East Java, West Java, and Central Java. These events typically occur in low-lying zones (0–500 meters above sea level), affecting agricultural and residential land in flat terrain. Temporally, most PB arises in the afternoon (1:00–3:00 pm local time), with peak frequencies in January, March, and November, coinciding with Indonesian monsoonal and transitional seasons. A trend analysis shows a statistically significant nationwide yearly increase of approximately 12 PB events, with 8 provinces exhibiting notable upward patterns. When compared to other PB-prone nations, Indonesia records a higher annual PB frequency than Japan, Australia, and Bangladesh, but remains well below the United States. The novelty of this research lies in its long-term, nationwide dataset and thorough spatiotemporal assessment, providing the first comprehensive examination of PB trends at national and provincial scales in Indonesia. These results provide crucial insights for disaster risk mapping, mitigation strategies, and early warning systems.
Low-Cost Sensor Based on Internet of Things for PM₂¸₅ Air Quality Monitoring Santoso, Dian Hudawan; Santosa, Sri Juari; Sekaranom, Andung Bayu
Indonesian Journal of Geography Vol 57, No 2 (2025): 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.104159

Abstract

The issue of air pollution, particularly that of particulate matter (PM2.5), has recently garnered significant global attention. However, the implementation of effective air quality management is frequently impeded by a dearth of adequate monitoring and measurement equipment. In Yogyakarta City and its surrounding areas, monitoring ambient air concentration, particularly PM2.5, remains difficult due to the limitations of monitoring tools such as Air Quality Monitoring System (AQMS). These tools are costly to operate, which further worsens the challenges. Therefore, this research aimed to design Internet of Things (IoT)-based Low-Cost Sensor (LCS) as an economical and reliable alternative to PM2.5 monitoring tools. Research and Development method was used with Plomp development model, which included investigation, design, calibration, as well as implementation. The results showed that IoT-based LCS followed the SNI 9178: 2023 standard with precision (SD 0.659 µg/m³; CV 23.59%), bias (slope 0.94; intercept 0.65 µg/m³), linearity (R² = 0.9), and RMSE 1.43 µg/m³. Moreover, the regression relationship between IoT-based LCS and AQMS was shown by the equation Y = 0.8633X + 2.7604, signifying a strong correlation between the two tools. During the analysis, IoT-based LCS appeared to be a promising solution for air quality monitoring, offering both effectiveness and affordability, with real-time data relevant to environmental management.. The IoT-based LCS has been designed simply, meets the calibration standards of SNI 9178:2023, and can be applied in suburban areas.
Evacuation Model of Earthquake in Multi-Storey Building using 3D GIS and Agent-Based Model 'Arifati, 'Azmiyatul; Nisaa', Ratri Ma'rifatun; Nurmaya, Acintya; Wardana, Randy Alihusni
Indonesian Journal of Geography Vol 57, No 3 (2025): In Progress Issue
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.92295

Abstract

Evacuation simulations in multi-storey building using 3D GIS and ABM require further study. Existing models lack comprehensive input on various building attributes. This research aims to develop a model for simulating earthquake evacuations in multi-storey buildings. The building and its occupants (agents) are modeled in detail, with building dimensions and designs obtained through measurements and field surveys. A field observation was conducted to determine agent's distribution. Agents placed in the building model are given certain behaviors once evacuation begins. The research focuses on a multi-storey building at Universitas Gadjah Mada (UGM). The model can assess the effectiveness of current evacuation facilities. Computer simulation results show that 266 agents require 140.8 seconds to evacuate, with no bottleneck observed at any location. A guest agent, assumed to lack knowledge of the building’s emergency information, is observed to exit last. In contrast, the fastest evacuation is achieved by agents familiar with the building, represented by a group of lecturers/staff. Model validation, through comparison with a drill simulation, shows a time difference of 0.45 seconds. Findings indicate that, under current scenarios, the building’s evacuation facilities have adequate capacity. 

Page 62 of 62 | Total Record : 613

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