Analysis of Earthquake Activity in Indonesia by Clustering Method

Jufriansah, Adi; Pramudya, Yudhiakto; Khusnani, Azmi; Saputra, Sabarudin

doi:10.20961/jphystheor-appl.v5i2.59133

Cited by 13 publications

(13 citation statements)

References 9 publications

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“…Schools have a central role in developing disaster preparedness in the school environment, especially on the island of Flores. This is in accordance with research (Handayani, 2020;Jufriansah et al, 2021), which revealed that the geological setting of Flores Island is part of the Pacific Ring of Fire. This finding reinforces the tsunami events disclosed by Pranantyo et al (2021) and Pranantyo & Cummins (2019).…”

Section: B Discussionsupporting

confidence: 92%

Identification of Understanding of Disaster Preparedness in the School Environment

Khusnani,

Husein,

Jufriansah

et al. 2023

IJOLAE

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Flores Island is vulnerable towards natural disasters. Therefore, it requires an effective disaster warning ma-nagement. In this context, schools play an important role in disaster warning system. However, not all schools implement Disaster Risk Reduction (DRR) procedures effectively. Therefore, efforts are needed to improve disaster warning system among schools by integrating the three pillar principles, which include safe facilities, effective disaster management, and resilience education. This study aims to understand the state of school readiness in the Flores region and assess the extent to which these schools apply the three pillar criteria for school disaster warning system. The research method used is a qualitative descriptive ap-proach, with data collection through an open questionnaire distributed using Google Forms. The result showed that the locations of the respondent's schools are spread across the most disaster-prone areas of Flo-res, especially along the coastal areas. In addition, there are still many schools in the region that have diffe-rent levels of understanding and awareness regarding to disaster warning system. Based on that issue, the program for activating the disaster warning system in school area is very important to apply and can increase public awareness of disaster warning system. To achieve that idea, a collaboration between school commit-tees, external parties, and the Flores community is essential to strengthen the school infrastructure and to build an effective response towards potential disaster risks and threats.

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Section: B Discussionsupporting

confidence: 92%

Identification of Understanding of Disaster Preparedness in the School Environment

Khusnani,

Husein,

Jufriansah

et al. 2023

IJOLAE

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“…To avoid missing data, the data cleaning procedure is then performed [20], [21]. By focusing on the least squares alternative or optimizing the probability function, this method employs imputation [22]. Fig.…”

Section: Resultsand Discussionmentioning

confidence: 99%

AI Big Data System to Predict Air Quality for Environmental Toxicology Monitoring

Jufriansah¹,

Khusnani²,

Pramudya³

et al. 2023

JNEST

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Pollutants in the air have a detrimental effect on both human existence and the environment. Because it is closely linked to climate change and the effects of global warming, research on air quality is currently receiving attention from a variety of disciplines. The science of forecasting air quality has evolved over time, and the actions of different gases (hazardous elements) and other components directly affect the health of the ecosystem. This study aims to present the development of a prediction system based on artificial intelligence models using a database of air quality sensors.This study develops a prediction model using machine learning (ML) and a Decision Tree (DT) algorithm that can enable decision harmonization across different industries with high accuracy. Based on pollutant levels and the classification outcomes from each cluster's analysis, statistical forecasting findings with a model accuracy of 0.95 have been achieved. This may act as a guiding factor in the development of air quality policies that address global consequences, international rescue efforts, and the preservation of the gap in air quality index standardization.

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“…The triggers that most often occur are caused by mountain and sea activities resulting in frequent movements of the earth's slopes resulting in vibrations so that the risk is fatal which can result in fatalities and environmental damage [1]- [3]. Several cases that often occur due to fatalities, namely the unconsciousness of the occupants of the house due to an earthquake such as being at work, falling asleep and also not having an alarm at home so that the owner of the house is complacent so he cannot run out of the house [4]- [7]. North Sumatra is an area where earthquakes frequently occur due to Mount Sinabung [8], [9].…”

Section: Introductionmentioning

confidence: 99%

Earthquake detection in mountainous homes using the internet of things connected to photovoltaic energy supply

Satria,

Dayana,

Syah

et al. 2024

IJRES

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The North Sumatra region is an area with the potential for earthquakes originating from volcanic and oceanic eruptions which have resulted in many fatalities. Therefore, through the application of automatic monitoring and control system technology connected to the internet of things (IoTs), it is the right solution to provide efforts to increase security for residents of the house to always be vigilant. The security enhancement method referred to in this study is a home security system protection system by anticipating earthquakes. The advantage of this tool is that it applies a notification security system method with a sensitivity sensor which is automatically sent via email and sonor buzzer which also acts as sound vibrations due to an earthquake. The test results show that when a vibration occurs, the system will send a short email message to the user's smartphone so that the user will receive an email in the form of a warning message that the state of the house has an earthquake and the light-emitting diode (LED) interrupts and the buzzer is also on so that the alarm sounds which has been integrated into IoT. Then an integrated security monitoring system using the web can be monitored in real time.

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Analysis of Earthquake Activity in Indonesia by Clustering Method

Cited by 13 publications

References 9 publications

Identification of Understanding of Disaster Preparedness in the School Environment

Identification of Understanding of Disaster Preparedness in the School Environment

AI Big Data System to Predict Air Quality for Environmental Toxicology Monitoring

Earthquake detection in mountainous homes using the internet of things connected to photovoltaic energy supply

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