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All Journal Techno.Com: Jurnal Teknologi Informasi Riau Journal of Computer Science Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INOVTEK Polbeng - Seri Informatika at-tamkin: Jurnal Pengabdian kepada Masyarakat JURSIMA (Jurnal Sistem Informasi dan Manajemen) Mejuajua JURSIMA SATIN - Sains dan Teknologi Informasi RJOCS (Riau Journal of Computer Science) Jurnal Sistem Informasi dan Manajemen Jurnal Teknologi Informasi Indonesia Riau Jurnal Teknik Informatika
Luth Fimawahib
Universitas Pasir Pengaraian
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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Journal : Riau Journal of Computer Science

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PENERAPAN JARINGAN SYARAF TIRUAN UNTUK PENENTUAN SALAK UNGGUL DENGAN MENGGUNAKAN METODE LEARNING VECTOR QUANTIZATION Fimawahib, Luth; Lidya, Leony; Nurcahyo, Gunadi Widi
Riau Journal Of Computer Science Vol. 5 No. 2 (2019): Riau Journal of Computer Science
Publisher : Riau Journal Of Computer Science

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Abstract

Rokan Hulu is one of district in Riau Province that cultivated Snake Fruit plant. Recently, the cultivation of this plant doesn’t conducted maximally because of the lack of farmer’s knowledge. The varieties of high quality Snake Fruit takes effect toward the productivity of Snake Fruit. Because of that, it needs evaluation in determining high quality Snake Fruit. Artificial Neural Network with Learning Vector Quantization in this research is used to train high quality Snake Fruit plant based on it’s class, namely High Quality I and High Quality II. The testing of this method is conducted by using Matlab in order to obtain classification accuracy level. This research uses 60 training dataset and 40 testing dataset of Snake Fruit plant. These data are obtained by using observation at Snake Fruit Plantation located in Desa Rambah Muda Kecamatan Rambah Hilir Kabupaten Rokan Hulu. The result of this research shows that the highest accuracy percentage of training and testing data are respectively 91.66% and 92.50%.
Co-Authors Afdol, Pangeran AGUNG SETIAWAN Alfares, M Riski Ali Djamhuri Alifiansyah, Eldi Amri, Rafelina Andiwi, Rani Andriani Andriani Aris Sudaryanto Asep Supriyanto Asep Supriyanto Atika Fresilia B. Herawan Hayadi Bakar Siddiq, Abu Bakti, Imam Rangga Budi Yanto Budi Yanto, Budi Dimas Dwi Saputra Dwi Nanto, Taufik Erfisal, Wawan Erni Rouza, Erni Fauzi Erwis Gunadi Widi Nurcahyo Hafiz Maulana Hariyen Ulfa Ikorasaki, Frans Iskandar Zulkarnain, Wisnu Jufri Leony Lidya Lullail, Jamalul Maulia, Sindi Muhammad Wali Munawir Munawir Nikmah Putri, Nadira Aulia Rinanda Rizki Pratama Rohima Saputra, Rika Satria Riki Mustafa, Satria Riki Sholehatun, Euis Sindi Maulia Sudaryanto, Aris Sugeng, Santoso Supriyanto, Asep Swiking A Rahman, Ruhullah Syamsul Rizal Urfi Utami Yulfita Aini YULIANI