Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal Jurnal Sistim Informasi dan Teknologi
Salam, Riyan Ikhbal
Unknown Affiliation
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Penentuan Tingkat Kerusakan Peralatan Labor Komputer Menggunakan Data Mining Rough Set Salam, Riyan Ikhbal; Defit, Sarjon
Jurnal Sistim Informasi dan Teknologi 2019, Vol. 1, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (298.923 KB) | DOI: 10.35134/jsisfotek.v1i4.13

Abstract

Equitments of computer laboratory have a function as an important tools in supporting pratical lecturing. These facilitiesshould always be on a condition like ready are proper to use both computers and others. To avoid equipment detriment, it is necessary to do early identification in which prevent the worse condition of equitments. The method use in this study is roughset method wich consists several stages such as Decision System, Equivalence Class, Discernibility Matrix, DiscernibilityMatrix Modulo D, Reduction, and Generate Rules. From this study, it was found that 14 rules in making decisions for equipments treatment of computer laboratory such as use, repair and replace. Thus, this mrthod is very capable indetermining the detriment level of laboratory equipment
Co-Authors Sarjon Defit