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All Journal Perfecting a Video Game with Game Metrics JOIN (Jurnal Online Informatika) ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Majalah Ilmiah Warta Dharmawangsa JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmu Komunikasi Network Media DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Dharmawangsa: International Journal of the Social Sciences, Education and Humanitis Jurnal Pengabdian Masyarakat (JAPAMAS)
Buyung Solihin Hasugian
Universitas Dharmawangsa
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Journal : ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA

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Penerapan Metode Association Rule Untuk Menganalisa Pola Pemakaian Bahan Kimia Di Laboratorium Menggunakan Algoritma FP-Growth (Studi Kasus di Laboratorium Kimia PT. PLN (Persero) Sektor Pembangkitan Belawan Medan) Buyung Solihin Hasugian
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 3, No 2 (2019): November 2019
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1121.715 KB) | DOI: 10.30829/algoritma.v3i2.6437

Abstract

The pattern of using chemicals in the laboratory of PT. PLN (Persero) Sektor Pembangkitan Belawan Medan is not only to find out what chemicals are used but also to find out the amount of chemicals left so that laboratory officials can properly manage the use of these chemicals. One appropriate way to determine the pattern of use of these chemicals is to use data mining techniques. The Data Mining technique used in this case is the FP-Growth Algorithm. FP-Growth is an alternative algorithm that can be used to determine the most frequent set of data in a data set. The study was conducted using several variables, namely the date and chemicals used. The results of this study are in the form of a chemical usage pattern which is processed using software, namely implementing the FP-Growth algorithm using the concept of FP-Tree development in searching for Frequent Itemset. Keywords: Data Mining, Association Rules, Frequent Itemset, FP-Growth
Co-Authors Abdullah, MT, Dr. Rijal Amru Yasir Ananda Hadi Elyas Ari Nugroho Aris Gunawan Asrindah Nst Asyahri Hadi Nasyuha Ayu Wulanda Sari Bambang Afrianto Batoebara, Maria Ulfa Elyas, Ananda Hadi Fachryan Ababil Firmatondi M Siregar Ginting, Erika Fahmi Hutagalung, Juniar J. Prayoga J. Prayoga J. Prayoga Jalius Jama Jovi Antares M. Hafiz Alhamda M. Irfan Dermawan Maria Ulfa Batoebara Marsono Marsono Masyuni Hutasuhut Muhammad Luthfi Muhammad Sabir Ramadhan Muhammad Syahdan Muya Syaroh Iwanda Lubis Nizwardi Jalinus Refdinal, Refdinal Sabrina Aulia Rahmah Samara Aflahani Sry Handayani Syaiful Amri Tamara Salsabila Tara Wardha Indallah Teuku Yusrizal Ummi Aminah Hasibuan Yohanni Syahra Zulham Zulham Zulham Zulriansyah Nur