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All Journal Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Prosiding SNATIF JUMANJI (Jurnal Masyarakat Informatika Unjani) Jurnal Informasi dan Komputer Jurnal Cendikia Jurnal ICT : Information Communication & Technology Jurnal Informatika dan Rekayasa Elektronik Tematik : Jurnal Teknologi Informasi Komunikasi Jurnal Ilmiah Wahana Pendidikan Istech Journal (International Science And Technology Journal) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Electrician : Jurnal Rekayasa dan Teknologi Elektro Journal Of Informatics And Busisnes JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Agus Komarudin
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Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Mathematics Social Sciences Other

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Journal : Journal Of Informatics And Busisnes

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Sistem Prediksi Hasil Produksi Jagung Menggunakan Algoritma Decision Tree C.45 Aghnie Kurnia; Wina Witanti; Agus Komarudin
Journal Of Informatics And Busisnes Vol. 2 No. 2 (2024): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v2i2.1571

Abstract

This research aims to develop a corn production prediction system using Decision Tree C4.5 algorithm. The system is designed to help farmers and stakeholders make better decisions regarding corn production. The data used was obtained from Kaggle, consisting of 4,121 data from various countries. The system development process involved several stages, including data preprocessing, normalization, and division of the dataset into training data (80%) and test data (20%). The C4.5 Decision Tree algorithm was chosen due to its ability to handle both continuous and categorical attributes, as well as produce an easy-to-understand decision tree. The results showed that the developed system was able to predict corn production with an accuracy rate of 92.82%. With this system, it is expected that farmers can conduct more effective and efficient production planning, and reduce the risk of losses due to inaccurate predictions.
Co-Authors Aek Mustofa Aghnie Kurnia Alda Amorita Azza Bambang Suparapto Esmeralda C Djamal Esmeralda C. Djamal Ferry Kurniawan Galih Rakasiwi Hadiana, Asep Id Hafiz, Aliy Hartono, Rudi Ifo Wahyu Pratama Iman Muhdi Iskandar Iskandar Kuncoro Buwono Kurniawan Ikhsan Mia Narulita Anggraeni Mohamad Aris Hardianto Muhammad Dwi Laksono Nenza Nurfirmansyah Nuari Anisa Sivi Rasyid Ibnu Prasetyo Rezki Yuniarti Sri Hutamy Novianti Tacbir Hendro Pudjiantoro Wahidah, Nina Ikhwati Wina Witanti Yulison H. Crisnanto