Data Mining dalam Akurasi Tingkat Kelayakan Pakai terhadap Peralatan Perangkat Keras
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Keywords:
Hardware, Decision System, Data Mining, Rules, Rough Set
AbstractHardware is a computer that can be seen and touched in person. Hardware is used to support student work and learning processes. The hardware should always be in good shape. If any damage should be done quickly. The benefits of this study provide a viable level of data against hardware tools. The purpose of this study determines that hardware that is worth using quickly and precisely so easily can be repaired and replaced. Hard-processed action consists of 12 projectors, 2 units of access point, 6 units of monitors, and 20 CPU units. To see the level of appropriateness regarding hard drives requires a rough set algorithm with that stage: information system; Decision system; Equivalency class; Discernibility matrix; Discernibility Matrix module D; Reduction; Generate Rules. The results of the 40 devices of study STMIK Indonesia Padang subtract college have 10 rules of policy on whether the hardware is still viable, repaired or replaced. So using a rough set algorithm is particularly appropriate to apply in a verifiable level of accuracy to fast and precise hardware. Keywords: Hardware, Decision System, Data Mining, Rules , Rough Set ReferencesSibuea, M. L., & Safta, A. (2017). Pemetaan Siswa Berprestasi Menggunakan Metode K-Means Clustring. JURTEKSI (Jurnal Teknologi dan Sistem Informasi), 4(1), 85-92. DOI: https://doi.org/10.33330/jurteksi.v4i1.28 . Adrianto, S., & Pratiwi, F. (2017). Peningkatan Jumlah Mahasiswa melalui Promosi dengan Penerapan Analisa Data Mining. SATIN - Sains dan Teknologi Informasi, 3(2), 29–37. Jamaris, M. (2017). Implementasi Metode Rough Set Untuk Menentukan Kelayakan Bantuan Dana Hibah Fasilitas Rumah Ibadah. Jurnal INOVTEK Polbeng-Seri Informatika, 2(2), 161-172. DOI: https://doi.org/10.35314/isi.v2i2.203 . Putri, N. E., Marwan, S., & Hariyono, T. (2017). Aplikasi Berbasis Multimedia Untuk Pembelajaran Hardware Komputer. Edik Informatika, 1(2), 70-81. Juliansa, H., Defit, S., & Sumijan, S. (2018). Identifikaasi Tingkat Kerusakan Peralatan Laboratorium Komputer Menggunakan Metode Rough Set. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2(1), 410-415. DOI: https://doi.org/10.29207/resti.v2i1.274 . Putra, A., Matondang, Z. A., & Sitompul, N. (2018). Implementasi Algoritma Rough Set dalam Memprediksi Kecerdasan Anak. Jurnal Pelita Informatika, 7(2), 386-393. Masrizal, M., & Munandar, M. H. (2019). Identifikasi Siswa Bermasalah dengan Menggunakan Metode Rough Set (Studi Di Sma N 4 Pariaman). Jurnal Informatika, 7(2), 90-99. DOI: https://doi.org/10.36987/informatika.v7i2.1342 . Anggraini, T., & Panjaitan, M. (2018). Penerapan Metode Rough Set Untuk Persediaan Obat-Obatan Di RSUP Haji Adam Malik Medan. JURIKOM (Jurnal Riset Komputer), 5(2), 176-184. Sihombing, P. (2019). Implementasi Metode Rough Set Dalam Memprediksi Dampak Tanah Longsor (Studi Kasus Badan Penanggulangan Bencana Daerah (BPBD) Provinsi Sumatera Utara. JURIKOM (Jurnal Riset Komputer), 6(4), 407-415. Juliansa, H. (2019). Data Mining Rough Set Dalam Menganalisa Kinerja Dosen Stmik Bina Nusantara Jaya Lubuklinggau. Jusim (Jurnal Sistem Informasi Musirawas), 4(1), 11-17. Putri, A., Defit, S., & Sumijan, S. (2019). Penerapan Artificial Intelligent Rough Set dalam Pengawasan Kinerja Notaris. Jurnal Sistem Informasi dan Teknologi, 1(4), 50-56. DOI: https://doi.org/10.35134/jsisfotek.v1i4.15 . Hartini, D. (2019). Implementasi Data Mining Rought Set dalam Menganalisis Kinerja Dosen. Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya, 1(2), 36-42. |
Published
2020-09-30
Issue
Section
Articles
How to Cite
Nurhidayat, Defit, S., & Sumijan. (2020). Data Mining dalam Akurasi Tingkat Kelayakan Pakai terhadap Peralatan Perangkat Keras. Jurnal Informasi Dan Teknologi, 2(3), 83-88. https://doi.org/10.37034/jidt.v2i3.67
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