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All Journal Proceedings of KNASTIK Jurnal Teknoinfo AL-TANZIM : JURNAL MANAJEMEN PENDIDIKAN ISLAM Journal of Humanities and Social Studies Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika JURNAL MANAJEMEN PENDIDIKAN Jurnal Ilmiah Pembelajaran Sekolah Dasar MURHUM : JURNAL PENDIDIKAN ANAK USIA DINI International Journal of Economy, Education and Entrepreneurship (IJE3) Kalam Cendekia: Jurnal Ilmiah Kependidikan Indonesian Journal of Applied Environmental Studies INTERNATIONAL JOURNAL OF EDUCATION, INFORMATION TECHNOLOGY, AND OTHERS Journal Of World Science Jurnal Aplikasi Bisnis dan Komputer Edunity: Kajian Ilmu Sosial dan Pendidikan Journal of Scientific Research, Education, and Technology J-Icon : Jurnal Komputer dan Informatika JIPETIK:Jurnal Ilmiah Penelitian Teknologi Informasi & Komputer Jurnal Penelitian Pendidikan Indonesia International Journal of Management, Innovation, and Education Jurnal Studi Al-Qur'an dan Tafsir
Herfina Herfina
Universitas Pakuan
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Journal : Jurnal Teknoinfo

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EKSTRAKSI CITRA MENGGUNAKAN METODE LAPLACIAN DAN SVM (SUPPORT VECTOR MACHINE) UNTUK IDENTIFIKASI JENIS TANAMAN PAKU BERDASARKAN CITRA SPORA Sufiatul Maryana; Herfina Herfina; Arie Qurania; Herlinda Herlinda
Jurnal Teknoinfo Vol 17, No 2 (2023): Vol 17, No 2 (2023) : JULI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i2.2579

Abstract

Spores are a breeding tool for ferns (Pteridophyta) which are generally found under the surface of each leaf. Research on the characteristics of Pteridophyta spores is generally done by observing their size and shape to see the type of spore. The method that will be carried out in this study requires a lot of understanding, experience, accuracy and time to achieve high accuracy in determining the type. Based on these reasons, it is necessary to develop another technique with modeling to help identify the type of Pteridophyta in the spore. This paper discusses image extraction for fern identification based on spore images using the Laplacian method and SVM. Laplacian method is used to extract features from spore images, while SVM is used to classify ferns. This method requires a lot of understanding, experience, accuracy and time to achieve high accuracy in determining the type. Based on these reasons, it is necessary to develop another technique with modeling to help identify the type of Pteridophyta in the spore. The purpose of this research is to make Support Vector Machine (SVM) modeling to identify fern species based on spore images in Eigen space. The data used are spore images with four classes, each of which has 24 data per class with a total of 96 images. The method used in this research is Laplacian method for feature extraction and SVM for data classification using Gaussian RBF and Polynomial kernel function experiments. The result of this research is the accuracy of each extraction that has been tried. The best result lies in the RBF kernel function with 70% feature extraction and 10 parameters with an accuracy of 98.96%.
Co-Authors Aditya Rivaldi Agung Prajuhana Putra Andi Supriyana Andriansyah Andriansyah Ani Nuraeni Arie Qur’ania B, Amiruddin Bibin Rubini Bon, Abdul Talib Cahyo, Fatkhurrohman Dwi Desi Metri Kusumaningtyas Dian Wulandari Eka Suhardi Erni Sukmayanti Farida Wulandari Gita Kencanawaty, Gita Hendarman Hendarman, Hendarman Henny Suharyati Herlinda Herlinda Ika Rosmalasari Iyan Irdiyansyah Iyan Mulyana Kaimudin, La Ode Lina Novita, Lina M Entang Maili, Sjafty Nursitti Martinus Tukiran Melati, Dika Muhamad Saad Nurul Ishlah Mulyati Mulyati Mulyati Mulyati Nancy Yusnita Nandang Hidayat Nur Rahman Prajuhana Putra, Agung Prasetyo, Hanif RAIS HIDAYAT, RAIS Riska Rahayu Rita Retnowati Sena Ramadona Setiawan, Andrian Setyaningsih, Sri Siti Halimah Siti Julaeha Soewarto Hardhienata Sri Setyaningsih Sufiatul Maryana Sugiartowo Sugiartowo Suwarni Suwarni Triningsih Triningsih Triningsih Triningsih Tristan Kusumawati Alexandra Tubagus Bay Achmad Al Imama Widodo Sunaryo Zainuri Zainuri, Zainuri