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Calamity: A Journal of Disaster Technology and Engineering
Published by Institute for Advanced Science, Social, and Sustainable Future
ISSN : -     EISSN : 30254140     DOI : -
Core Subject : Science, Engineering,
Aerospace Engineering Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering
Calamity: A Journal of Disaster Technology and Engineering focuses on unique research on all facets of natural hazards, such as the prediction of catastrophic events, risk management, and the nature of natural and manmade hazard precursors. The effects on the environment are equally disastrous even if risks might come from a variety of sources and systems, including atmospheric, hydrologic, oceanographic, volcanologic, seismic, and neotectonic. This calls for tight collaboration between many scientific and operational disciplines in order to improve risk reduction. Risk assessment is included in the coverage of hazards in the atmospheric, climatological, oceanographic, storm surge, tsunami, flood, snow, avalanche, landslide, erosion, volcanic, man-made, and technology categories.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 33 Documents
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Erosion levels and comparison of erosion estimation methods in watersheds: Disaster risk assessment and environmental engineering approaches Fahmi, Faizal Nur
Calamity: A Journal of Disaster Technology and Engineering Vol. 2 No. 2: (January) 2025
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/calamity.v2i2.2025.1617

Abstract

Background: The Blongkeng Watershed is part of the Progo Watershed, located on the north-western slopes of Mount Merapi. The damage to vegetation and land degradation due to volcanic activity from Mount Merapi has led to surface runoff and erosion on the western slopes of the mountain. The aim of this study is to compare the erosion estimation models of morphometry and USLE. Methods: Morphometric parameters were obtained from the River Network Map and Digital Elevation Model (DEM) map, then analyzed quantitatively, and rankings were applied to determine the erosion sensitivity ranking within the watershed. The USLE erosion values were derived from factors affecting erosion, including rainfall erosivity, soil erodibility, slope, and land cover factors. Findings: The erosion levels in the Blongkeng Watershed, calculated using the USLE method, show high values in the upper Sub-Watersheds, ranging from 7.21 to 5.94 tons/ha/year. The comparison between the morphometric and USLE erosion estimation methods yields rankings of erosion levels in the Blongkeng Watershed. The rankings are the same in the upper part of the Blongkeng Watershed, while differences in rankings appear in the middle and lower regions. Conclusion: These differences are likely due to the different input data of the two erosion estimation models and the inclusion of morphometric parameters that may not be suitable for the Blongkeng Watershed ranking calculation. The similarity in rankings in the upper regions is likely due to the area being dominated by slopes greater than 8%. Novelty/Originality of this article: The novelty of this research lies in offering a measurement and comparison of erosion levels.
Failure analysis of pulverizer pipe elbow in PLTU boiler Chandra, Hendri; Zulkarnain, Rizki; Rafli Fazal, Muhammad
Calamity: A Journal of Disaster Technology and Engineering Vol. 1 No. 1: (July) 2023
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/calamity.v1i1.2023.44

Abstract

Erosion occurs due to several different mechanisms, depending on the composition, size, shape of the eroding particles, speed, angle of impact, and surface composition of the eroded components. The pulverizer pipe elbow has become worn out due to the pulverized coal fluid abrasion flowing on the pipe, which the type is AISI Grade 1026. This study was carried out on the causes of this damage case. Damage to the elbow in the boiler needs to be analyzed for the failure of the elbow so that the damage's cause is known and it becomes a lesson so that the same damage does not occur again. The research aims to: 1. Find out the cause of damage to the pulverizer elbow on the boiler; 2. Know the correct maintenance strategy to increase the reliability of pulverizer pipes in boilers; 3. Simulate erosion due to coal particles in the pulverizer pipe using the Autodesk Simulation Computational Fluid Dynamics software program; 4. Analytical calculations of the erosion rate that occurs at the bend of the pulverizer pipe (elbow) in the boiler. The analysis was done by visual observation, hardness testing, metallographic observation, simulation of the ANSYS CFD program, and analytical calculation. The result of the ANSYS simulation showed that the main factor causing the leakage was erosion-corrosion. In the leaking area, the corrosion concentration was higher than in other areas, indicated by the red color in that area. From the calculation results, it was concluded that the largest erosion rate occurs at the angle of 200 with the value is 4.9548 x 10- 11 m3 / s, the smaller the pulverized coal’s angle of impact crashed the pulverizer pipe elbow, the greater the erosion.
Landslide disaster risk analysis in Pacet District, Mojokerto Regency, East Java Chusnaini Widiastutik; Permatasari , Devi Indah; Masniarahma , Afdilla; Firdiyansah , Aldy; Nashrullah , M Iqbal
Calamity: A Journal of Disaster Technology and Engineering Vol. 1 No. 1: (July) 2023
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/calamity.v1i1.2023.113

Abstract

Pacet District, Mojokerto Regency, East Java is one of the areas prone to landslides. Landslides in the area that occur can threaten lives and cause environmental damage and financial losses. This study aims to analyze the risk of landslides in Pacet District, Mojokerto Regency, East Java, and apply Early Warning System (EWS) technology based on the Internet of Things (IoT). This type of research is both qualitative and quantitative, the results of the study are based on the level of threat of landslides. Designing a landslide early warning tool is not easy to do because it has to be adapted to local situations and conditions. This program will be directed at technology transfer by implementing an Internet of Things (IoT)-based Early Warning System (EWS).
Handling of area impact of land exploitation in the Kendeng Mountain, Pati District, Central Java Rozy, Fathur; Aliyudin, Mohamad; Mirna, Sufi; Ayu, Risa
Calamity: A Journal of Disaster Technology and Engineering Vol. 1 No. 1: (July) 2023
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/calamity.v1i1.2023.132

Abstract

The Kendeng Mountains are the largest limestone producer on the island of Java, so mining or over-exploitation is often carried out in several locations. Pati Regency is a city affected by the exploitation of the Kendeng Mountains, in addition to Rembang Regency. The northern Kendeng area, which is in southern Pati, has experienced more than 60% deforestation. The impacts of this exploitation are floods, droughts, and landslides in the South Pati region. Since 2019 the southern Pati region has experienced quite large flash floods approximately 5 times. To deal with the impact of exploitation this research uses analysis and synthesis methods. The clearing of forest land use as an agricultural and mining area in this location continued to occur from 1996 to 2016, and the rainfall that experienced the La Nina phenomenon in 2020/2021 caused flooding in the Tambakromo, Kayen, Sukolilo, and Winong areas. and drought in 30 villages, in the Pati region, Central Java. To maintain the impact of exploitation, reforestation must be carried out, construction of drainage canals, and construction of springs
Burned area mapping in Dendang District, Tanjung Jabung Timur Regency using sentinel-2 Yogyanti, Galih Citra
Calamity: A Journal of Disaster Technology and Engineering Vol. 1 No. 1: (July) 2023
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/calamity.v1i1.2023.150

Abstract

Remote Sensing is a way to provide information efficiently both in terms of cost and time. In addition, the use of remote sensing in mapping the burned area can be carried out on a large scale but with a fast time for the prevention of land fires. Monitoring of forest fires is carried out to see locations that often become fire hotspots every year and to prevent frequent land and forest fires.The method used in this study is to map the burned area using multi-temporal data using the Normalized burning Ratio and Normalized burning Ratio 2 indices from Sentinel-2 images in May and September 2019. The trend data can be used to evaluate the moratorium on forest business permits or a peatland. Sentinel 2 has a higher spatial resolution of 20 meters compared to other multispectral images that can be accessed easily and free of charge, so it is suitable to be applied in areas that are not too large and minimizes the value of estimation errors, using Sentinel 2 imagery which has 13 channels will Selected several channels that can be used for index transformation, namely the NBR (Normalized Burn Ratio) and NBR2 (Normalized Burn Ratio2) indexes, both indices utilize Near Infrared, SWIR1, and SWIR2 channels which can provide information about the area after land fires,The research results obtained that burned areas are often identified as barren land, such as peat canals or vacant land. This is because the spectral reflection characteristics of objects in burnt areas are the same as those in non-vegetated land areas when the NBR index is transformed using the NIR, SWIR1 and SWIR2 channels. Keywords: Forest and land fires, NBR Indices, Sentinel-2.
Visualizing 2018 lombok earthquake in Indonesia using crowdsouring data: How people experience it Aunurrahim, Abghy; Rahardjo , Noorhadi
Calamity: A Journal of Disaster Technology and Engineering Vol. 1 No. 1: (July) 2023
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/calamity.v1i1.2023.159

Abstract

Along with the development of science and technology, using big data, map makers can take advantage of crowdsourcing social media data on Twitter to obtain user location when uploading tweets, which can be called geolocated tweets. Earthquakes that occur very often in Indonesia often grab people's attention, especially netizens who use social media like Twitter. One of the major earthquakes that occurred in Indonesia in 2018 was the Lombok earthquake, which occurred twice in a row from July to August 2018. Using Twitter data, information and social responses related to the 2018 Lombok earthquake can be obtained, which can be used as evaluation material for public handling and responding. The information is then visualized in various forms, and one of the best visualization methods is selected.This study uses Twint package in Python as a way of obtaining location data from Twitter. The method used to collect Twitter data is a case study on the social impact of the Lombok earthquake in Indonesia in 2018. The data observation method used is a simulation of several types of map visualization and survey methods in selecting the best type of visualization. The method of analysis used is by mapping the data on the number of tweets as the main object using various types of maps, as well as calculating survey results by scoring each group of questions.The results of spatial data extraction from Twitter in this study obtained 2032 tweets that had been selected and cleaned from 11,584 tweets. Map visualization with the theme of the social impact of the Lombok earthquake in 2018 was compiled using five types of visualization, namely choropleth maps, proportional symbol maps, dot maps, hexagonal tessellation maps, and heat maps. Based on the results of the survey on selecting the best visualization, it was found that the choropleth map is the best visualization method according to respondents with a cartography background and respondents who are unfamiliar with cartography because the information displayed is easier to read and understand.
Landslide vulnerability analysis Sarwodadi Village, Pejawaran District Banjarnegara Regency with scoring methods Saputra, Gaizka Tri; Azizi, Amris; Salim, M. Agus
Calamity: A Journal of Disaster Technology and Engineering Vol. 2 No. 1: (July) 2024
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/calamity.v2i1.2024.1833

Abstract

Background: Sarwodadi Village is one of the villages in Pejawaran District which is an area that has a high vulnerability to landslides. This study aims to determine the level of landslide vulnerability in Sarwodadi Village, Pejawaran District, Banjarnegara Regency. Methods: The data obtained is in the form of secondary data from related agencies. Data analysis was carried out aiming to determine the classification of the level of vulnerability to landslides. Findings: From the results of data analysis carried out using the scoring method which refers to the classification from Soil and Agro-climate Research/Pusat Penelitian Tanah dan Agroklimat (Puslittanak) it can be obtained the level of landslide vulnerability, point 1 enters the low class, point 2 enters the medium class, and point 3 enters the high class against disasters landslide. Conclusion: This research reveals that Sarwodadi Village has varying levels of vulnerability to landslides based on the scoring method. Point 1 is in the low vulnerability category, point 2 is in the medium vulnerability category, and point 3 is classified as having high vulnerability. These results provide a deeper understanding of the distribution of landslide vulnerability levels in the region, which can be the basis for more effective disaster mitigation planning. Novelty/Originality: This research offers a new contribution by integrating a scoring method based on classification from Soil and Agroclimate Research to evaluate the level of landslide vulnerability at a local scale. This approach allows detailed identification of vulnerabilities at specific points, providing important empirical data for risk mitigation planning in Sarwodadi Village. This area has not been studied much before in this context.
Sensitivity analysis of the geomorphology flood index to extreme rainfall variability in Indonesia Bintang, Jessica Amanda
Calamity: A Journal of Disaster Technology and Engineering Vol. 2 No. 1: (July) 2024
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/calamity.v2i1.2024.1834

Abstract

Background: Flooding is one of the most frequent and costly natural disasters worldwide. According to DIBI-BNPB data, Indonesia has experienced 11,806 flood events. Flood risk management is crucial to identify flood-prone areas, which can be done through Flood Hazard Mapping (FHM) using the Geomorphology Flood Index (GFI). While GFI relies on topographical factors, Indonesia's rainfall varies significantly, necessitating a sensitivity comparison across different extreme rainfall characteristics. Methods: This study compares conventional GFI (without rainfall) and modified GFI (incorporating extreme rainfall). It determines extreme rainfall return periods of 5, 10, 25, 50, and 100 years using the Generalized Extreme Value (GEV) method. These values are normalized into Ip-A and Ip-B indices, which are then integrated into the GFI model to estimate flood-prone areas. Findings: The Ip-A and Ip-B methods yield different results. At a 100-year return period, Ip-A produces the same flood extent as conventional GFI, whereas Ip-B varies. Maluku, with the highest extreme rainfall (323.91 mm/day), shows a larger flood extent than conventional GFI, while Java, with the lowest (188.11 mm/day), shows a smaller extent. Extreme rainfall variability significantly affects flood potential, making the Ip-B method highly sensitive to such variations. Conclusion: The study concludes that the Ip-A method produces flood potential areas similar to the conventional GFI at a 100-year return period, while the Ip-B method yields different flood extents depending on extreme rainfall intensity. The Ip-B method is highly sensitive to extreme rainfall variations, making it more responsive to regional differences in flood potential. Novelty/Originality of this article: This study introduces a novel approach by integrating extreme rainfall variability into the Geomorphology Flood Index (GFI) using two modified indices, Ip-A and Ip-B, to enhance flood hazard mapping accuracy.
Disaster preparedness in vulnerable rural communities: Integrating preparedness index and demographic variables in a post-landslide context Aziz, Muhammad Hilmy; Azzamullah, Aziz
Calamity: A Journal of Disaster Technology and Engineering Vol. 3 No. 1: (July) 2025
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/calamity.v3i1.2025.2050

Abstract

Background: Landslides are natural disasters that often result in significant human and material losses, especially in areas with unstable topography. In Jombang Regency, East Java, a major landslide occurred on January 28, 2014, killing 14 people and destroying infrastructure. This study aims to examine the level of disaster preparedness among the local community of Kopen Hamlet in anticipation of future landslides. Methods: This research employed a quantitative approach using survey and interview methods to collect primary data. A preparedness index was used to measure the readiness level of residents, while the Kolmogorov-Smirnov method was applied to test the normality of the data distribution based on demographic variables such as gender, age, and education. Findings: The study found that 68% of respondents were classified as sufficiently prepared, and 69% were nearly prepared depending on demographic factors. The Kolmogorov-Smirnov test yielded an Asymp. Sig (2-tailed) value of 0.063, indicating that the data were normally distributed. Preparedness levels were relatively consistent across different community groups. Conclusion: The results highlight the importance of demographic factors in community disaster preparedness and provide a foundation for targeted risk reduction interventions in similar vulnerable areas. Novelty/Originality of this article: This study uniquely integrates a preparedness index with demographic analysis in a post-disaster context, offering empirical insights from a localized rural community that has received limited prior research attention in Indonesian landslide risk studies.
The relationship between fatigue and workplace accidents in the construction sector: A statistical study on contributing factors and risk implications Azzamullah, Aziz; Izzoelhq, Adam; Supeno, Sandi Rafika Alif; Purwoko, Wahyu Alim; Trisnawaty, Devi
Calamity: A Journal of Disaster Technology and Engineering Vol. 3 No. 1: (July) 2025
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/calamity.v3i1.2025.2064

Abstract

Background: Occupational accidents remain a persistent issue in the construction sector, often associated with various risk factors including worker fatigue. This study aims to analyze the effect of fatigue on the incidence of work accidents in construction projects. Previous studies have shown that fatigue can impair concentration and reaction time, leading to increased accident risks. Methods: This research employed a quantitative descriptive method with data collected through structured questionnaires from 34 construction workers. The data were analyzed using regression analysis. Additionally, instrument testing included validity tests, reliability tests, and linearity tests to ensure the accuracy and consistency of the data. Findings: The results demonstrated that worker fatigue has a significant effect on the occurrence of work accidents (p < 0.05). Factors such as long working hours, insufficient sleep, and heavy workload contributed to fatigue, which in turn increased accident potential. These results align with existing theoretical frameworks linking physical exhaustion to unsafe behaviors and reduced awareness. Conclusion: Fatigue significantly influences the frequency of workplace accidents in construction environments. Effective management of work schedules and adequate rest is essential to minimize these risks. Novelty/Originality of this article: This study offers a statistically validated perspective on the influence of fatigue on construction-related accidents, supported by rigorous instrument testing to ensure reliability and precision of findings, which contributes new empirical evidence to occupational safety literature.

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