Developing and validating a scale for anxiety over land and forest fire

Fatricia, Raja Sharah; Daryanto, Ahmad; Sutanto, Juliana

doi:10.1016/j.ijdrr.2023.103850

Cited by 2 publications

(5 citation statements)

References 50 publications

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“…The objective of FA is to provide an explanatory model for the observed data by identifying and describing the underlying structure of the variables. Through dimensionality reduction and the identification of latent factors, FA helps in understanding the relationships and patterns present in the dataset, thus facilitating insights into the underlying mechanisms driving the observed correlations among variables [36]. FA posits that the observed variables are influenced by both latent factors and unique factors.…”

Section: Factor Analysismentioning

confidence: 99%

“…In recent years, climate change has frequently increased the susceptibility of certain areas to wildfires, simultaneously escalating the severity of fire incidents [23,25,34,35]. In light of the influence of global warming and extreme climate changes, PCA has found widespread application in the analysis of fire characteristics and the examination of spatiotemporal trends in fires [19,20,35,36]. Within the realm of machine learning methods such as PCA and FA, random forest (RF) stands out as a robust algorithm known for its strong performance with default settings [7,37,38].…”

Section: Introductionmentioning

confidence: 99%

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Charactering Human-Caused Fires Using GIS-Based Dimensionality Reduction Techniques in Keelung City, Taiwan

Ku,

Lu,

et al. 2024

Applied Sciences

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Fires resulting from human activities, encompassing arson, electrical problems, smoking, cooking mishaps, and industrial accidents, necessitate understanding to facilitate effective prevention. This study investigates human-caused fires in Keelung City, Taiwan, employing geographic information system (GIS)-based dimensionality reduction techniques. By analyzing eleven diverse factors, including fire incident density, population-related, building-related and economic-related features, valuable insights are gained for enhancing fire prevention. Utilizing principal component analysis (PCA), factor analysis (FA), and out-of-bag (OOB) predictor importance, our algorithm identifies key factors explaining dataset variance. Results from three approaches reveal a significant link between fire incidents and the elderly population, buildings over 40 years old, and the tertiary sector in the economy, contributing to developing effective measures for mitigating and managing fire occurrences.

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Section: Factor Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Charactering Human-Caused Fires Using GIS-Based Dimensionality Reduction Techniques in Keelung City, Taiwan

Ku,

Lu,

et al. 2024

Applied Sciences

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“…Seiring berjalannya waktu, kondisi tanah di daerah longsor terus mengalami pergerakan berupa longsoranlongsoran kecil. Hal ini menyebabkan warga yang berada di sekitar lokasi longsor harus mengungsi (Fatricia et al, 2023) Dampak bencana tanah longsor sangat mempengaruhi berjalannya sistem Pendidikan. Longsor menyebabkan kerugian yang komplek baik kerugian fasilitas ataupun korban jiwa, yang menghambat kegiatan belajar mengajar.…”

Section: Pendahuluanunclassified

“…Ditiadakannya proses belajar mengajar tentu akan berdampak buruk pada kebutuhan aktualisasi diri para siswa. Pengembangan diri siswa akan terhambat dan mengalami keterlambatan yang berakibat buruk pada intelektualitas dan tentunya berdampak buruk pula bagi kesejahteraan dan masa depan siswa (Fatricia et al, 2023).…”

Section: Pendahuluanunclassified

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Peningkatan Tingkat Pengetahuan Kesiapsiagaan Bencana Siswa Setelah Diberi Edukasi Menggunakan Media Audio Visual Animasi di SMA 12 Semarang

Saparwati,

Trimawati Trimawati,

Dewi Rosnita

et al. 2023

JPIKes

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Landslide is a disaster that occurs every year in Indonesia. Landslide disasters can result in complex losses, both loss of facilities and casualties. Landslides have the greatest impact on the most vulnerable groups, especially the children age group. This is because children directly experience, feel, and witness the impact caused by the age factor that is still immature psychologically. Efforts that can be made to reduce the impact of the disaster, one of which is to control the risk of landslides by increasing preparedness. This study provides education to students using audio- visual animation media which contains material on preparedness in the face of landslides. To determine the level of disaster preparedness knowledge of SMA 12 Semarang students before and after being given education using animated audio- visual It can be concluded that there is an increase in knowledge of disaster preparedness for students of SMA 12 Semarang before and after being given education using anıması audio- visual media. It is hoped that disaster preparedness education using animated media at SMA 12 Semarang can be applied continuously to students as an effort to anticipate disaster preparedness.

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Developing and validating a scale for anxiety over land and forest fire

Cited by 2 publications

References 50 publications

Charactering Human-Caused Fires Using GIS-Based Dimensionality Reduction Techniques in Keelung City, Taiwan

Charactering Human-Caused Fires Using GIS-Based Dimensionality Reduction Techniques in Keelung City, Taiwan

Peningkatan Tingkat Pengetahuan Kesiapsiagaan Bencana Siswa Setelah Diberi Edukasi Menggunakan Media Audio Visual Animasi di SMA 12 Semarang

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