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All Journal Jurnal Sistim Informasi dan Teknologi
Riyan Ikhbal Salam
Universitas Putra Indonesia YPTK Padang
Computer Science & IT Decision Sciences, Operations Research & Management

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Penentuan Tingkat Kerusakan Peralatan Labor Komputer Menggunakan Data Mining Rough Set Riyan Ikhbal Salam; Sarjon Defit
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 (301.581 KB) | DOI: 10.37034/jsisfotek.v1i4.7

Abstract

Equitments of computer laboratory have a function as an important tools in supporting pratical lecturing. These facilities should 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 rough set method wich consists several stages such as Decision System, Equivalence Class, Discernibility Matrix, Discernibility Matrix 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 in determining the detriment level of laboratory equipment.
Co-Authors Sarjon Defit