Mulia International Journal in Science and Technical
Vol 1 No 1 (2018): August

Implementation of K-Modes Clustering in Predicting Electric Power Needs in Aceh

Ula, Mutammimul (Unknown)
Hardi, Riyadhul Fajri (Unknown)
Hardi, Richki (Unknown)

Article Info

Publish Date
31 Aug 2018

Abstract

The State Electricity Company is tasked with providing a stock of electricity power grouping requirements and classification of classifications for each region in the city of Aceh. The area to be grouped is based on the amount of power consisting of four sub-districts namely Banda Sakti, Blang Mangat, Muara Dua and Muara Satu, each of which comes from Gampong. The importance of clusters to separate each data between gampong data that will be entered into each sub-district. Furthermore, the K-Means Clustering Classification is used in determining the grouping of electric power needs in each region in Aceh City, where the system classifies the electricity stock requirements in each region categorized into a clustering.

Copyrights © 2018




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
Mulia International Journal in Science and Technical
Website

Abbrev

multica

Publisher

Universitas Mulia

Subject

Computer Science & IT Control & Systems Engineering Engineering

Description

The aim of this journal is to provide a lively forum for the communication of original research papers and timely review articles on Science and Technical. MULTICA will publish only articles of the highest quality. Submissions will be evaluated on their originality and significance. MULTICA invites ...