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All Journal Jurnal Momentum Jurnal Informatika dan Teknik Elektro Terapan Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika Jurnal CoreIT Jurnal Sains Dan Teknologi (SAINTEKBU) Jurnal Laut Khatulistiwa Rang Teknik Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) Ensiklopedia of Journal Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) IJISTECH DEVICE J-SAKTI (Jurnal Sains Komputer dan Informatika) Indo-MathEdu Intellectuals Journal Jurnal Minfo Polgan (JMP) Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Teknoif Teknik Informatika Institut Teknologi Padang JAIA - Journal of Artificial Intelligence and Applications Jurnal Teknik Informatika dan Teknologi Informasi Jurnal Salingka Abdimas International Education Trend Issues Innovative: Journal Of Social Science Research Jurnal Informatika: Jurnal Pengembangan IT Journal of Soft Computing Exploration
Anisya Anisya
Department Of Informatics Engineering, Institut Teknologi Padang, West Sumatra, Indonesia
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Journal : jaia - journal of artificial intelligence and applications

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Data Mining Prediction of Oil Palm Fruit Anisya
JAIA - Journal of Artificial Intelligence and Applications Vol. 1 No. 2 (2021): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (615.939 KB) | DOI: 10.33372/jaia.v1i2.707

Abstract

The development of information technology today is very meaningful for all circles. Currently, information technology has become a necessity in everyday life. The use of information technology is proven to facilitate human performance. Where the number of suppliers that supply palm oil fruit every year will affect the activities of companies engaged in palm oil production. So that currently the company needs a decision-making strategy in the procurement of oil palm fruit. Data mining is a technology that is very useful to help companies find very important information from data centers. Data mining predicts trends and characteristics of business behavior which are very useful to support important decision making. One of the techniques the writer uses is the Association Rule technique. Association Rule is a data mining technique to find association rules between item combinations. Using the Association Rule technique will help companies predict which suppliers will supply palm fruit in the following year. Meanwhile, to predict the load does not use the association rule method but uses existing data analysis.
Co-Authors Agung Haryono Ahmad Alfaishal Amrullah Alkadri Masnur Allazi, Ersab Anna, Anna Syahrani Anugrah, Septriyan Aprilia, Deby Aria Wahyuni Azha, Rifo Dwipa Azli, Puteri Amelia Bayu Febriadi, Bayu Boby Irawan Brestina Gultom Busran Busran Desi Wahyuni Desmonifa, Desmonifa Devalio, Devalio Eko, Eko Kurniawanto Putra Eva Yulianti FAJAR NUGROHO Fajar Nugroho Fajrin, Fajrin Fitrianti, Wahyu Friani, Afif Irma Ganda Yoga Swara Ganda Yoga Swara Hamdi, Yori hendri, nofri Herlina Herlina Indra Warman Joni Ermon Lisa Rokhmani Mahendra, Mahendra Masruro, Umi Minarni Minarni Nora Idiawati Ombai, Taufiq Ombai Pandu Pratama Putra, Pandu Pratama Prayitno, Dwi Imam Purwanto Purwanto Putra, Dede Wira Trise Putra, Eko Kurniawanto Putri Mandarani Putri, Putri Mandarani Rahwani, Nail Agripina Ramadani, Taufikqurrahman Ramadhan, Novri Ramadhani, Denisa Sri Ro'ufah Inayati Sarjon Defit Sartika, Aprilina Septio Rita Setiawan, Hendra Cahyo Siahaan, Citra Winda Sintawati, Made Sumijan Sumijan Syahputra, Alvin Ahmad Syahrul Munir Tri Ranti, Wulan Jenur Trise, Dede Wira Wahyu Hidayat Wahyu Hidayat Wahyuni, Sarah Winda, Syahbania Wira Trise Putra, Dede Yoga Swara, Ganda Yunita Wandyra