cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mohamad Ferdaus Noor Aulady
Contact Email
admin@iasssf.com
Phone
-
Journal Mail Official
calamity@journal-iasssf.com
Editorial Address
Cluster Kukusan No 25 M, Jl. Rw. Pule I, Kukusan, Beji, Depok City, West Java 16425
Location
Kota depok,
Jawa barat
INDONESIA
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 5 Documents
 1 
Failure analysis of pulverizer pipe elbow in PLTU boiler Hendri Chandra; Rizki Zulkarnain; Muhammad Rafli Fazal
Calamity: A Journal of Disaster Technology and Engineering Vol. 1 No. 1 (2023): Calamity: A Journal of Disaster Technology and Engineering
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; Devi Indah Permatasari; Afdilla Masniarahma; Aldy Firdiyansah; M Iqbal Nashrullah
Calamity: A Journal of Disaster Technology and Engineering Vol. 1 No. 1 (2023): Calamity: A Journal of Disaster Technology and Engineering
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 Fathur Rozy; Mohamad Aliyudin; Sufi Mirna; Risa Ayu
Calamity: A Journal of Disaster Technology and Engineering Vol. 1 No. 1 (2023): Calamity: A Journal of Disaster Technology and Engineering
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 Galih Citra Yogyanti
Calamity: A Journal of Disaster Technology and Engineering Vol. 1 No. 1 (2023): Calamity: A Journal of Disaster Technology and Engineering
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 Abghy Aunurrahim; Noorhadi Rahardjo
Calamity: A Journal of Disaster Technology and Engineering Vol. 1 No. 1 (2023): Calamity: A Journal of Disaster Technology and Engineering
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.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2023 2023


Reset
Filter By Issues
All Issue Vol. 1 No. 1 (2023): Calamity: A Journal of Disaster Technology and Engineering