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All Journal MATEMATIKA DAN PEMBELAJARAN Jurnal Teknoinfo The IJICS (International Journal of Informatics and Computer Science) Applied Technology and Computing Science Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) KLIK: Kajian Ilmiah Informatika dan Komputer Mangente: Jurnal Pengabdian kepada Masyarakat
Rhaishudin Jafar Rumandan
Institut Agama Islam Negeri (IAIN) Ambon, Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Journal : Journal of Computer System and Informatics (JoSYC)

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Klasifikasi Citra Jenis Daun Berkhasiat Obat Menggunakan Algoritma Jaringan Syaraf Tiruan Extreme Learning Machine Rhaishudin Jafar Rumandan; Rini Nuraini; Nanang Sadikin; Yuri Rahmanto
Journal of Computer System and Informatics (JoSYC) Vol 4 No 1 (2022): November 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i1.2586

Abstract

Leaves are one part of a plant that has benefits for humans, especially for the health of the body. Leaves can be used as herbal medicine which can be an alternative that can help in increasing immunity and body resistance. However, not all leaves have medicinal properties, therefore knowledge of the types of medicinal leaves is important. The aim of this research is to develop a classification system for the image of medicinal leaves using the Extreme Learning Machine (ELM) artificial neural network model. To support the ELM algorithm, morphological feature extraction is used which can provide information about the shape characteristics of existing objects. Extreme Learning Machine (ELM) is also known as an artificial neural network approach that uses one hidden layer. At the classification stage, the Extreme Learning Machine (ELM) algorithm can determine the weight value between the input neurons and the hidden layer randomly so that the learning pattern becomes faster. Based on the results of the precision, recall and accuracy tests, the precision value is 90.67%, the recall value is 89.47% and accuracy of 90%. So, based on these results it can be said that the ELM model that was built can classify images of leaf types with medicinal properties well.
Co-Authors Alfry Aristo Jansen Sinlae Anisa Subhan Dandi Iyama Dewinofrita Dewinofrita Dinar Riaddin Djaffar Lessy Hamid Wijaya I Gede Iwan Sudipa Iim Abdurrohim Indah Junianti Idris Indra Nanda Jentot Tugiyono Juhaevah, Fahruh Kapraja Sangadji M Sahrawi Saimima Muhammad Kashai Ramdhani Pelupessy Nanang Sadikin Nuhasanah Nurhasanah Nur Fitri Datumboyo Nurhasanah Nurhasanah Nurhayati Nurhayati Rifaha Mabakotawasi Rini Nuraini Sarmila Wagola Tungga Bhimadi Karyasa Yani Sugiyani Yuli Hastuti Yuri Rahmanto