STRING (Satuan Tulisan Riset dan Inovasi Teknologi)
Vol 4, No 3 (2020)

Pendekatan Matriks Ketetanggaan Berbobot untuk Solusi Minimum Spanning Tree (MST)

Tri Yani Akhirina (Universitas Indraprasta PGRI)
Thomas Afrizal (Universitas Indraprasta PGRI)



Article Info

Publish Date
05 Apr 2020

Abstract

Minimum Spanning Tree (MST) or often called Minimum Weighting Spanning Tree (MWST) is a path or edge search algorithm that connects all vertices in a connected graph and does not form a circuit with a minimum weight. The classic algorithm used to solve MST problems is the Prim’s and Kruskal’s algorithms. The problem of minimum spanning tree is a problem related to optimization in finding the minimum weighted edge that can connect all vertices). MST is widely used in computer science such as to determine access points, build networks and many more. The purpose of this reserarch is to find new solutions that can provide alternative MST solutions besides classical algorithms such as Prim and Kruskal. This experimental research uses a weighted adjacency matrix approach,  with weight taken from the minimum side in each pair of matrix to produce a minimum spanning tree. This new solution can be an alternative in solving the minimum spanning tree problems.

Copyrights © 2020






Journal Info

Abbrev

STRING

Publisher

Subject

Computer Science & IT Mathematics

Description

STRING (Satuan Tulisan Riset dan Inovasi Teknologi) focuses on the publication of the results of scientific research related to the science and technology. STRING publishes scholarly articles in Science and Technology Focus and Scope Covering: 1. Computing and Informatics 2. Industrial Engineering ...