UNITOMOUNITOMO

Inform: Jurnal Ilmiah Bidang Teknologi Informasi dan KomunikasiInform: Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi

Natural disasters in Indonesia have tremendously impacted the victims. This is because there has not been a solution/method that can be used immediately when a natural disaster occurs, so losses caused by natural disasters continue to increase and are difficult to recover. The research used a case study of the Cianjur area. The research provides immediate assistance when natural disasters occur, as a liaison between donors and disaster victims, and is easy to use anytime and anywhere—assisting using the A Star method, which is used in navigation systems to obtain the fastest and closest distance by calculating two points using Longitude and Latitude. The result is an app for mobile devices used by donors, couriers, and victims of natural disasters, where donors can give their donated items faster. Apps can help the community at large. Many people can use the application to share information at the disaster site. The application is also easy to use anytime and anywhere, obtained from a weight of 4.00 by the users.

The KitaPeduli application was created to help disaster victims receive assistance from donors.The application can display the logistics requested by the victims, as well as the status and location related to the logistics so that donors can be sure that the victims of the disaster correctly receive the items they donate.00, the KitaPeduli application is feasible and easy for the public to use.Future research can use other or several methods and compare the results of these methods.

Berdasarkan hasil penelitian ini, terdapat beberapa saran untuk penelitian lanjutan yang dapat dilakukan. Pertama, penelitian lebih lanjut dapat dilakukan dengan mengintegrasikan data dari berbagai sumber, seperti media sosial dan laporan cuaca, untuk meningkatkan akurasi prediksi kebutuhan logistik korban bencana. Kedua, pengembangan aplikasi KitaPeduli dapat diperluas dengan menambahkan fitur untuk memfasilitasi koordinasi antar relawan dan organisasi bantuan, sehingga proses distribusi bantuan dapat lebih efisien dan terarah. Ketiga, penelitian dapat difokuskan pada pengembangan algoritma A Star yang lebih adaptif terhadap perubahan kondisi lapangan, seperti jalan yang rusak atau terblokir, untuk memastikan rute pengiriman bantuan selalu optimal dan dapat diandalkan. Penelitian-penelitian ini diharapkan dapat memberikan kontribusi signifikan dalam meningkatkan efektivitas dan efisiensi penanganan bencana di Indonesia, serta mengurangi dampak kerugian yang ditimbulkan.

  1. #nearest neighbor#nearest neighbor
  2. #random forest classification#random forest classification
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File size717.95 KB
Pages9
Short Linkhttps://juris.id/p-2LH
Lookup LinksGoogle ScholarGoogle Scholar, Semantic ScholarSemantic Scholar, CORE.ac.ukCORE.ac.uk, WorldcatWorldcat, ZenodoZenodo, Research GateResearch Gate, Academia.eduAcademia.edu, OpenAlexOpenAlex, Hollis HarvardHollis Harvard
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