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All Journal MEDIA KONSERVASI Biospecies Jurnal Ilmu Komputer dan Agri-Informatika Agrovigor: Jurnal Agroekoteknologi Naturalis : Jurnal Penelitian Pengelolaan Sumberdaya Alam dan Lingkungan Jurnal Biologi Universitas Andalas BioWallacea Journal of Biological Research BIOMA : Jurnal Biologi Makassar Journal of Geoscience, Engineering, Environment, and Technology Jurnal Belantara Jurnal Biologi Tropis Dinamisia: Jurnal Pengabdian Kepada Masyarakat Bioma : Jurnal Biologi Indonesia PENDIPA Journal of Science Education Martabe : Jurnal Pengabdian Kepada Masyarakat Bio-Lectura PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Biotek Jurnal Pembelajaran dan Biologi Nukleus Geneologi PAI : Jurnal Ilmiah Bidang Pendidikan Agama Islam Jurnal Silva Tropika Unri Conference Series: Community Engagement Jurnal Pengabdian Masyarakat Indonesia Perbal : Jurnal Pertanian Berkelanjutan Jurnal Penelitian Sains dan Pendidikan (JPSP) Jurnal Karya Abdi Masyarakat Jurnal Pengabdian Masyarakat Pinang Masak Rumphius Pattimura Biological Journal BATIK: Jurnal Pengembangan dan Pengabdian Masyarakat Multikultural International Assulta of Research and Engagement Biodik: Jurnal Ilmiah Pendidikan Biologi Journal of Conflict and Social Class (JCSC) Berita Biologi
Ade Adriadi
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Journal : Jurnal Ilmu Komputer dan Agri-Informatika

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I-NusaPlant Apps : Indonesian Medical Plants Identification Using Convolutional Neural Network With Pre-trained Model MobileNetV2 Khaira, Ulfa; Saputra, Edi; Adriadi, Ade
Jurnal Ilmu Komputer dan Agri-Informatika Vol. 11 No. 2 (2024)
Publisher : Sekolah Sains Data, Matematika, dan Informatika. Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jika.11.2.185-194

Abstract

Indonesia has about 30,000 different kinds of medicinal plants, which is a very large number compared to the total of 40,000 that exist all over the world. In fact, Indonesia, along with other Asian countries like China and India, has one of the highest concentrations of medicinal plants in the world. An expert is required to identify functional medicinal plants, but the number that such experts is quite limited. Convolutional Neural Networks (CNNs) and transfer learning can be very effective tools for identifying Indonesian medical plants. These methods have been shown to be highly accurate at classifying different objects. Transfer learning was used because it can reuse the knowledge gained from previous training, which speeds up the process and improves accuracy. This study used 5,000 images divided into 20 categories. The MobileNetV2 model was used, and it achieved 100% accuracy for all categories in the experiments. The Identification Indonesian Medical Plants method in this study has been implemented in the I-NusaPlant mobile-based application. The app's performance was tested, and it was found to use a maximum of 17% CPU and 197 MB of memory. This app works on all Android versions from 8.0 to 13.
Co-Authors Abdul Manab Ade Nurdin Aditiya, Randi Afni Yunita Agil, Faza Satria Agung Kurnia Ahmad Sazali Aini, Yasri Syarifatul Akbar, Naufal Septrio Albayudi, Albayudi Alex Sandro Tarihoran Alfernando, Oki Almunawwar, Ahmad Faiz Ananda, Evrillia Firmawati Angelita, Antra Arsa, Daniel Asniati, Asniati Asra*, Revis Asrizal Paiman Asrizal Paiman Asrizal Paiman Az-Zahra, Kanaya Bening Azzahra, Ismi Dewi Bakti Mandala Bambang Hariyadi Bambang Irawan Bestari, Andini Vermita Beti Septiana Darsono Budilaksono, Tri Chairul Chairul, Muhammad Citra Amelia Purba Damris Muhammad Damris, M. Dawam Suprayogi Defrizal Defrizal Diah Riski Gusti Dila Oktarise Dwina Dyah Kumalasari Edi Saputra Edi Saputra Emilia Fadzillah, Naily Febrianti, Arikah Femei Rahmilija Fernando, M. Gusri, Lailal Hafiz Muchti Kurniawan Hanum, Nabila Asri Hardiyanti, Rizky Ayu Hari Wiki Utama Hasanah, Nur Umi Hasbullah Hasbullah Hasnaul Maritsa Heriberta Heriberta Hikmah , Nurul Hombing, Apriana Br Hutasoit, Monica Hazelina Ida Ayu Putu Sri Widnyani Ihsan, Mahya Indriani, Rini Intan Lestari Intan Lestari Irgi Firaa, Mohd Itoh Masitoh Joko Ridho Witono Juni Harlin Anggraini Khoiriyah, Zhulfatul Kise, Hanny Faatihah M. Damris Mardhotillah, Bunga Mardiyah Ulpa Marsanda, Firda Dwi Marwoto Mauluddin, Muhammad Meitriani, Yohana Mekensi, Pedi Miranti Miranti Muhajir Muhajir Musiana, Bebrina Nanda Rayani Nanda Rayani Napitupulu, Richard RP Nopitaq, Melni Noverina, Yolla Novita Sari Nugraha, A. Prima Nur'aini, Hanifah Nursanti Nursanti Nursanti Nursanti Nursanti Nursanti Nursanti Nursanti Nursanti Nursanti Oki Alfernando Oktarise Dwina, Dila Pane, Sabrina Panji, Muhamad Pasaribu, Hermina Puji Astuti, Dwi Ramadhona, Octory Fillia Rayani , Nanda Rayani, Nanda Retno Putri Andini Revis Asra Revis Asra Revis Asra Rhamadani, Amanda Riana Anggraini, Riana Rike Puspitasari Tamin Rike Setiawati Rini Indriani Rivana, Maya Rizaldi, M. Khafid Rezki Rizka Fikrinnisa Rizky Saputra, Rizky Sai'in Sai'in Saputra , Rizky Saragih, Rasmita Berliana Sari, Puja Permata Simamora, Edenia Septefine Siringo-ringo, Annisa Juliana Siti Solikah Solfiyeni Solfiyeni Suci Ratna Puri Suprayogi , Dawam Tampubolon, Louisa Bella Br Tazkiah Auliaputri Teguh Fachmi Thiara, Thiara Sri Utami Tia Wulandari Tri Budilaksono Tri Syukria Putra Uce Lestari Uce Lestari Ul Maritsa, Hasna Ulfa Khaira, Ulfa Uni Baroroh Husnudin Virda, Virda Yurniar Wahyuni, Silvia Yanova, Shally Yasri Syarifatul Aini Yosi Riduas Hais Yulianto, Dwi Cahyo Yuliarsyahdana, M. Rifqi Dwirafi Yusuf, Ashif Irvan