APPLICATION OF K-MEANS CLUSTERING METHOD AND DIJKSTRA ALGORITHM TO OPTIMIZE THE DISTRIBUTION OF POST- DISASTER HUMANITARIAN LOGISTICS: CIANJUR EARTHQUAKE CASE STUDY 2022
Indonesia is a disaster-prone country, especially with earthquakes and volcanic eruptions. This is because geographically, Indonesia is passed by the Pacific Ring of Fire and three active plates in the world. Based on data from the National Disaster Management Agency (BNPB) in 2014-2023, Indonesi...
Saved in:
Main Author: | Dinnurrahman, Jihad |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/83773 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
ANALYSIS OF DAMAGE AND LOSS TO SCHOOL BUILDINGS DUE TO THE 2022 EARTHQUAKE IN CIANJUR DISTRICT
by: Sianturi, Raindo -
ROAD NETWORK RESTORATION MODEL FOR HUMANITARIAN LOGISTICS DURING DISASTER RESPONSE STAGE
by: NUR ZAHIYAH, AINI -
COMPLETELY POSITIVE AND CO-POSITIVE PROGRAMMING: APPLICATIONS IN DISRUPTION RISK MANAGEMENT, POST DISASTER HUMANITARIAN LOGISTICS AND HOMELAND SECURITY GAMES
by: GAO YINI
Published: (2017) -
Identification of natural disaster impacted electricity load profiles with k means clustering algorithm
by: Jessen, Simon Hedegard, et al.
Published: (2022) -
DETERMINING DISASTER LOGISTICS CENTER IN WEST JAVA PROVINCE USING VORONOI DIAGRAM AND K-MEANS ALGORITHM
by: Nafia, Isya