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Journal : Bulletin of Informatics and Data Science

Klasifikasi Citra Tanaman Perdu Liar Berkhasiat Obat Menggunakan Jaringan Syaraf Tiruan Radial Basis Function Rohmat Indra Borman; Imam Ahmad; Yuri Rahmanto
Bulletin of Informatics and Data Science Vol 1, No 1 (2022): May 2022
Publisher : PDSI

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Abstract

Wild plants or what are usually called weeds are plants that are considered harmful because they grow in unwanted places. But it turns out that some wild plants have many benefits for the health of the human body. Wild plants have many forms of vegetation, one of which is often encountered is shrubs. There are many wild herbaceous plants that are efficacious as medicine. However, most of the people who do not have knowledge about the types of wild shrubs that have medicinal properties. This study aims to implement the Radial Basis Function (RBF) algorithm for the classification of wild herbaceous plant species with medicinal properties by extracting color and texture features. The color feature extraction is based on the average RGB value, while the texture feature extraction uses a Gabor filter with the mean, entropy, and variance parameters of the magnitude image. The result of feature extraction becomes input data which will be managed by the RBF artificial neural network. RBF is a neural network that has three layers that have feedforward properties that can assist in solving classification or pattern recognition problems. Based on the test results, the precision value is 91%, recall is 89% and accuracy is 90%. These results show that the Radial Basis Function (RBF) algorithm with color and texture feature extraction can classify wild shrubs with medicinal properties well.
Co-Authors ., Rusliyawati Abizar Abizar Ade Dwi Putra Agum Anantama Agus Ambarwari Agus Wantoro Agus Wantoro Ahmad Ghifari Ahmad Zuhdi Aldi Bagus Prasetyo Alita, Debby Almira Devita Putri Amdi Rizal Angga Febrian Arisantoso Arisantoso Aryastuti, Nurul Asmawati Asmawati Damayanti, Damayanti Dedi Darwis Deni Ardiansyah Devin Pratama Dian Anisa Martadala Dias Dumaika Dina Dwi Nuryani Dinda Titian Lestari Dwi Sidik Permana Dyah Aminatun Dyah Aminatun Dyah Ayu Megawaty Edwin Dwi Andriano Emi Suwarni Endang Setiawati Erick Chomper Sinurat Erliyan Redi Susanto Fadli Firdaus Fahri Damarjati Fahri Hanif Farel Adrianto Tansir ferdi yulianto Ferdi Yulianto Fernando Kesuma Bhakti Gavan Gorbi Caksana Gunawan, Rakhmat Dedi Harriansyah Harriansyah Harry Anggono Ichtiar Lazuardi Putra Indita Pyatama Prabandanizwaransa Iqbal Yasin Jafar Fakhrurozi Jefri Rahmadian Kana Saputra S Kristina Mawarni Lulud Oktaviani Lyla Putri Deviana Mandasari, Berlinda Mohamad Iqbal Suriansyah Mufid Aden Muhammad Adam Putra Darma Muhammad Ardiansyah Muhammad Bakri Muhammad Fauzan Ramadhani Muhammad Najib Dwi Satria Muhammad Usman Muhtar Nurdiansyah Mutiara Bulan Maharani Nadia Aftirah Neneng Neneng Neni Nuraini Nina Ramadhani Nur Shodik Prastowo, Agung Tri Prima Dian Furqoni Pustika, Reza Qadhli Jafar Adrian Risa Dwi Kurniawati Riska Depari Robi Sentosa Roby Satria Rohmat Indra Borman Ruslaini Ruslaini S. Samsugi Sanusi Setiawansyah Setiawansyah Shiwi Angelica Cindiyasari Try Susanto Vera Yulyani Very Hendra Saputra Wahyu Widodo Wildani Hakim Winda Fajar Anggraini Wulandia Wulandia Lestari Yogi Irawan YOHANA TRI UTAMI, YOHANA TRI Yuri Rahmanto Yusra Fernando