ANDREAN, DOMINIKUS (2022) IMPLEMENTASI ALGORITMA DJIKSTRA UNTUK PENCARIAN RUTE TERPENDEK MENUJU RUMAH SAKIT RUJUKAN COVID - 19 BERBASIS WEB. S1 thesis, Universitas Mercu Buana Jakarta-Menteng.
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Abstract
Virus Corona dilaporkan pertama kali di Tiongkok di kota Wuhan pada tanggal 13 Desember 2019. Di Indonesia per tanggal 2 Maret 2020 masuk ke dalam negara yang terjangkit Covid- 19. Dalam kasus Covid-19 ini, pemerintah dengan sigapnya menunjuk beberapa rumah sakit di Bogor sebagai rumah sakit rujukan Covid-19. Namun permasalahannya banyak masyarakat yang kurang mengetahui rumah sakit mana yang menjadi rujukan Covid-19. Oleh karena itu, dari permasalahan tersebut penulis menawarkan solusi dengan membuat aplikasi berbasis web (WebGIS) dengan menerapkan Algoritma Djikstra untuk mencari rute terpendek menuju rumah sakit rujukan Covid-19. The Corona virus was first reported in China in the city of Wuhan on December 13, 2019. In Indonesia, as of March 2, 2020, it entered a country that was infected with Covid-19. In this case of Covid-19, the government swiftly appointed several hospitals in Bogor as Covid-19 referral hospitals. However, the problem is that many people do not know which hospital is a referral for Covid-19. Therefore, from this problem the author offers a solution by creating a web-based application (WebGIS) by applying the Djikstra Algorithm to find the shortest route to the Covid-19 referral hospital.
| Item Type: | Thesis (S1) |
|---|---|
| NIM/NIDN Creators: | 41517120007 |
| Uncontrolled Keywords: | Djikstra Algorithm, Web, Covid – 19, hospital;Algoritma Djikstra, Web, Covid – 19, rumah sakit |
| Subjects: | 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika |
| Divisions: | Fakultas Ilmu Komputer > Informatika |
| Depositing User: | Priyo Raharjo |
| Date Deposited: | 06 Sep 2022 02:56 |
| Last Modified: | 06 Sep 2022 02:56 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/68826 |
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