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Hayatul Khairul Rahmat
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Jagratara: Journal of Disaster Research
Published by Universitas Budi Luhur Jakarta
ISSN : -     EISSN : 30264952     DOI : -
Core Subject : Humanities, Social,
Humanities Environmental Science Social Sciences
Jagratara: Journal of Disaster Research is an open-access peer-reviewed journal that is published by the Department of Disaster Management, Faculty of Economics and Business, Universitas Budi Luhur. Jagratara: Journal of Disaster Research promotes scholarly, theoretical, pragmatic, and contemporary research, making a clear conceptual and methodological contribution to existing international literature. As disaster research by itself is of a multi-discipline nature, we welcome submissions from across disciplines. These may include but are not limited to various subjects such as disaster management, disaster risk reduction, preparedness, mitigation, and disaster response; as well as post-disaster topics on recovery.
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 4 Documents
 1 
Search results for , issue "Vol. 2 No. 2 (2024): Desember" : 4 Documents clear
Kesiapsiagaan Bencana pada Acara Internasional: Penguatan Kapasitas Kebencanaan terhadap Penyelenggaraan Balap F1 Powerboat Danau Toba, Indonesia Supriyati, S; Irawan, Andri; Putra, Anggara Setyabawana; Susilastuti, S; Adiputra, Agung; Wibowo, Agus
Jagratara: Journal of Disaster Research Vol. 2 No. 2 (2024): Desember
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/jjdr.v2i2.155

Abstract

Lake Toba is located on the Sumatran Fault, an active fault line that runs along the island of Sumatra. Therefore, Toba Regency is an area prone to earthquakes. The potential for earthquakes can also cause secondary hazards such as landslides. As one of the Super Priority Tourism Destinations (DPSP), the government is promoting the region through the Formula 1 (F1) Powerboat racing championship held from 2023 to 2027 to increase tourist visits to Lake Toba. The purpose of this study is to provide capacity-building recommendations for the organization of the F1 Powerboat in the Lake Toba Area. The F1 Powerboat is one of the prestigious international events held in the Lake Toba Area from 2023 to 2027. In 2024, this event will be participated in by 9 countries with a total of 18 racers. To anticipate panic due to disasters during the race, capacity building is needed to enhance disaster preparedness. The research methods used in this study include literature review and data collection, followed by data analysis to generate recommendations. Recommendations to improve disaster preparedness can be achieved by enhancing regional readiness to reduce disaster risks, developing planning, multi-stakeholder collaboration, understanding risks, disseminating information, training, simulations, providing safety and disaster preparedness facilities and infrastructure, and building a culture of disaster preparedness through safety briefings and disaster preparedness simulations.
Efektivitas Pemanfaatan Teknologi Augmented Reality (AR) Dalam Pendidikan Kesiapsiagaan Bencana Banjir Di Kelurahan Lepo-Lepo Kota Kendari Agil Lestari; Kasim, Safril; Sudia, La Baco
Jagratara: Journal of Disaster Research Vol. 2 No. 2 (2024): Desember
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/jjdr.v2i2.168

Abstract

Floods are one of the most common disasters in Indonesia, causing significant damage and loss of life in recent years. It is essential to improve community preparedness for such events. Augmented Reality (AR) technology, which integrates 2D and 3D elements, offers an interactive learning experience through smartphones, effectively presenting visual, audio, and video information. This study aims to evaluate the effectiveness of AR technology in enhancing flood preparedness in the Lepo-Lepo Subdistrict, Baruga District. The methods employed include observation, interviews, questionnaires, and literature reviews. The results indicate that the AR-based BeWary application effectively increased community knowledge and preparedness for flood risks, with statistically significant results. However, there are suggestions for further development, such as enhancing application features and more targeted strategies. Factors influencing the effectiveness of AR include limited technology access, challenges in adapting to new technologies, and perceptions that affect interest in using additional technologies. Additionally, time constraints, digital literacy, and technical skills are key factors to consider in implementing AR for flood preparedness education.
Evaluasi Efektifitas Jaringan Pos Hujan dalam Mitigasi Kebencanaan di Provinsi Bengkulu Nisa, Ania Maulidiah; Darmawan, Yahya
Jagratara: Journal of Disaster Research Vol. 2 No. 2 (2024): Desember
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/jjdr.v2i2.179

Abstract

This study aims to evaluate the rain post network using the Kagan-Rodda method in Bengkulu Province, especially for supporting the disaster mitigation of hydro-meteorology. In order to obtain an accurate and efficient number and location point of the rain post network, it is necessary to evaluate the existence of existing rain posts. The method used in this research is descriptive quantitative where calculations are made on the method of analyzing the rain post network evaluation based on WMO standards and based on the Kagan-Rodda method analysis. The results of the research on the WMO standard evaluation analysis of the rain post network show that 52 rain posts are included in the minimum density category, 22 rain posts are classified as maximum density, and 42 others have normal density. Based on the analysis of the Kagan-Rodda method, several smoothing errors were obtained, namely 1%, 2%, 3%, 4%, and 5%. With the value of the number of rain posts that are still lacking in the selected smoothing error recommendations, rain posts can be procured, so that accurate and ideal rainfall analysis results will be obtained.
Pemetaan Daerah Rawan Longsor Berbasis Data Penginderaan Jauh di Kota Batu Jawa Timur Armadyaputri, Aludra Nadia; Tanggahma, Yuan Zalfa; Darmawan, Yahya
Jagratara: Journal of Disaster Research Vol. 2 No. 2 (2024): Desember
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/jjdr.v2i2.182

Abstract

Batu City is known to have a varied topography with high potential for landslides due to significant rainfall and certain geological conditions. Data observed in analyzing landslide prone areas include rainfall, slope, land cover, and soil type. The results of the analysis show that these factors play a significant role in determining the level of landslide vulnerability in the area. This study aims to analyze the level of landslide vulnerability in Batu City, East Java, using scoring and overlay methods. This method enables identification and mapping of landslide prone areas to provide recommendations for appropriate mitigation and management measures to reduce the risk of landslides. The resulting landslide vulnerability mapping provides useful information for authorities in planning effective mitigation strategies. The proposed mitigation action recommendations are expected to help reduce the impact of landslides and improve community preparedness in Batu City.

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