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All Journal Intizar Jurnal Teknologi dan Sistem Komputer Indonesian Journal of Artificial Intelligence and Data Mining Building of Informatics, Technology and Science Journal of Intelligent Computing and Health Informatics (JICHI) Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Prosiding University Research Colloquium Jurnal Pengabdian Masyarakat Sains dan Teknologi Indonesia Bergerak: Jurnal Hasil Kegiatan Pengabdian Masyarakat Journal of applied statistics and data mining
Istiawan, Deden
Institut Teknologi Statistika Dan Bisnis Muhammadiyah Semarang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences Other

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Journal : Indonesian Journal of Artificial Intelligence and Data Mining

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Implementation of C4.5 Algorithm for Critical Land Prediction in Agricultural Cultivation Areas in Pemali Jratun Watershed Deden Istiawan; Laelatul Khikmah
Indonesian Journal of Artificial Intelligence and Data Mining Vol 2, No 2 (2019): September 2019
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (713.294 KB) | DOI: 10.24014/ijaidm.v2i2.7569

Abstract

Watershed is a complex system that is built on physical systems, biological systems and human systems that are related to each other. Each component has a distinctive nature and its existence is related to other components so as to form a unified ecosystem. Land use that does not pay attention to the conservation requirements of land and water causes land degradation which ultimately results in critical land. The impact of critical land is not only the withdrawal of soil properties, but also results in a decrease in production functions. Prediction of the critical level of land is needed to reduce the level of damage to the watershed, so that it can be used for policy making by the relevant agencies. In this research C4.5 algorithm will be applied to predictions of critical land in agricultural cultivation areas using critical land parameters. Based on the results of the research on critical land classification of agricultural cultivation areas in the jratun pemali watershed it can be concluded that the C.45 algorithm can be implemented to predict critical land in agricultural cultivation areas with an accuracy rate of 92.47%.
Co-Authors Adilah Ahmad, Muna Adiyah Mahiruna ALYA MASITHA Amrul Hafiludien Arif Arrahman, Malik Chaerul Iqbal , Ilham Chintya Devi Panglipuring Sriaji Eko Hari Rachmawanto Firdaus, Lucky Nur Rohman Khikmah, Laelatul Laelatul Khikmah Mahiruna, Adiyah Nahdluddin Ngatimin NGATIMIN, NGATIMIN Nur Cahyani, Annisa Nur Khotimah Nurul Huda Nurul Huda Nurul huda Prayogi, Sukmono Yogi Santoso, Arif Gunawan Sukmono Yogi Prayogi Sulistijanti, Wellie Syayidati Mashfuufah Wijayaningrum, Taswati Nova Windyaning Ustyannie Yogi Prayogi, Sukmono Zaenah Zilfi, Elok Maria