Text
IMPLEMENTASI ALGORITMA DIJKSTRA DAN ALGORITMA ANT COLONY OPTIMIZATION UNTUK MENENTUKAN RUTE DISTRIBUSI PUPUK PADA PT. PUPUK SRIWIDJAJA
This study aims to obtain the optimal route based on the Dijkstra algorithm and the Ant Colony Optimization algorithm and compare the results of the more optimal route from the two routes to the fertilizer distribution of PT. Pupuk Sriwidjaja. The problem in this research is how to determine the optimal route to the fertilizer distribution locations using Dijkstra’s Algorithm and Ant Colony Optimization (ACO) Algorithm. Based on the calculation results, the results obtained are the distance traveled is 937,60 km with the Dijkstra algorithm, while from the ACO algorithm the total distance traveled is 1306,65 km. The results of this study show the results of the more optimal route based on the Dijkstra algorithm which is 937,60 km with the fertilizer distribution route, namely the PUSRI Factory – Gd Os Komp PUSRI – Gpp Palembang – Gd Tanjung Api-Api – Gd Belitang Martapura – Gpp Martapura – Gd Lahat – Gpp Lubuk Linggau – PUSRI Factory.
Inventory Code | Barcode | Call Number | Location | Status |
---|---|---|---|---|
2207004204 | T80403 | T804032022 | Central Library (Referens) | Available but not for loan - Not for Loan |
No other version available