Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal INFOKUM Bulletin of Computer Science and Electrical Engineering (BCSEE)
Eka Hayana Hasibuan
Informatics Study Program, Faculty of Technology, Battuta University
Computer Science & IT Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
IMPLEMENTATION OF THE E-VOTING SYSTEM IN THE ELECTION OF THE OSIS SMA DHARMA PANCASILA VOCATIONAL SCHOOL BASED ON WEB-BASED METHODS RAPID APPLICATION DEVELOPMENT (RAD) Eka Hayana Hasibuan; Roy Nuary Singarimbun; Baginda Harahap
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (650.676 KB)

Abstract

In manual voting often results in errors in vote counting, The goal to be achieved from making this e-voting application is to be able to assist committee officers in calculating the number of voters and election results quickly and accurately. For data analysis techniques using Rapid Application Development (RAD) method, which is one of the data analysis while to design this application the method used is object-oriented design using the Unified Modeling Language (UML). Based on the analysis of system requirements, a system was created web-based student council chairman election. The choice of a web-based system was due to This website is widely known by the public. So to finish The problem was proposed by a web-based e-voting system. In conclusion with With this application, general elections can run honestly and fairly and can minimize errors that can be made by humans or reduce manipulation and fraud that can occur.
Application of K-Means Clustering on School Identification in the Distribution of Assistance Funds for DPRD Members: Case Study in North Padang Lawas DPRD Eka Hayana Hasibuan; Aripin Rambe; Dinur Syahputra
Bulletin of Computer Science and Electrical Engineering Vol. 3 No. 2 (2022): December 2022 - Bulletin of Computer Science and Electrical Engineering
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/bcsee.v3i2.1163

Abstract

In this study, the k-means algorithm was used to group schools and categorize DPRD grants into very feasible, feasible, and impractical categories for better focus. Based on the results of computational analysis using the K-Means clustering algorithm using the Euclidean distance equation for the distribution of DPRD suction subsidies from 52 schools, 28 schools are in the very decent category and 11 schools are decent. In that category, 13 schools were found with fewer categories. executable category. RapidMiner Studio v.7.6 software can group schools based on the distribution needs of DPRD suction tools for more effective and efficient results.
Co-Authors Aripin Rambe Baginda Harahap Dinur Syahputra Roy Nuary Singarimbun