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All Journal EUGENIA Seminar Nasional Lahan Suboptimal Journal of Applied Data Sciences Jurnal Agroekoteknologi Terapan Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Journal of Agriculture (JoA) Bulletin of Social Informatics Theory and Application COCOS EKOTON
Frangky J. Paat
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Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Journal : Bulletin of Social Informatics Theory and Application

 1 
Web-Based System for Medicinal Plants Identification Using Convolutional Neural Network Latumakulita, Luther; Mandagi, Franklin; Paat, Frangky; Tooy, Dedie; Pakasi, Sandra; Wantasen, Sofia; Pioh, Diane; Mamarimbing, Rinny; Polii, Bobby; Pongoh, Jantje; Pinaria, Arthur; Tenda, Edwin; Islam, Noorul
Bulletin of Social Informatics Theory and Application Vol. 6 No. 2 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v6i2.601

Abstract

Indonesia has a variety of medicinal plants that are efficacious for preventing or treating various diseases. Each region has unique medicinal plants, such as in North Sulawesi, there are many medicinal plants with local names of "Jarak" (Jatropha curcas), "Jarak Merah" (Jatropha multifida), "Miana" (Coleus Scutellarioide), and "Sesewanua" (Clerodendron Squmatum Vahl). This research applies the Convolutional Neural Network (CNN) method to identify the types of medicinal plants of North Sulawesi based on leaf images. Data was collected directly by taking photos of medicinal plant leaves and then using the augmentation process to increase the data. The first stage is conducting training and validation processes using 10-fold cross-validation, resulting in 10 classification models. Evaluation results show that the lowest validation accuracy of 98.4% was obtained from fold-4, and the highest was 100% from fold-2. The third stage was to run the testing process using new data. The results showed that the worst model produced a test accuracy of 80.91% while the best model produced an accuracy of 87.73% which means that the identification model is quite good and stable in classifying types of medicinal plants based on its leaf images. The final stage is to develop a web-based system to deploy the best model so people can use it in real-time
Co-Authors Adeleyda M. W. Lumingkewas Alden M. Saiya Arthur G. Pinaria Badrun Zaini Baideng, Eva Lienneke Bobby J. V. Polii Bobby Polii Christine F Mamuaja Christine F Mamuaja Christine F Mamuaja Daniel Peter Mantilen Ludong Dantje Tarore David P Rumambi David P. Rumambi David S. Runtunuwu Dedie Tooy Deflly Ansye Shilfana Turang Denny Saroinsong Diane D. Pioh Edy F. Lengkong Ekuin Kojong Elpin E. Alom Frangky Rorong Frans Lumuindong Hengkie Walangitan Herry F Pinatik Herry F. Pinatik I Nyoman Gede Arya Astawa Ireine A. Longdong Islam, Noorul Jackson F. Watung James B. Kaligis Jantje Pelealu Jantje Pelealu Jantje Pongoh Jantje Pongoh Jantje Pongoh Jeanne M. Paulus Jeanne Martje Paulus Jelie Viekson Porong Jemmy Najoan, Jemmy Jimmy Rimbing Joachim Y. E. Oessoe Johannes E. X. Rogi Joice Rompas Jolanda Ch. E. Lamaega, Jolanda Ch. E. Jooudie N. Luntungan Juliet M.E. Mamahit Jusuf Manueke Karim, Irwan Langimanapa Sofia Demmassabu Lumingkewas, Adeleyda Lumingkewas, Adeleyda M. W. Lumuindong, Frans Luntungan, Jooudie Luther A. Latumakulita Luther Latumakulita Makal, Henny V. Malintoi, Friska Mamuaja, Christine Fransin Mandagi, Franklin Manurung, Putra Maramis, R.T. D. MARJAM M. TODING Max Tulung Meilani Elseday Ma'tan Melkison Sanggel Nangoi, Ronny Noni N. Wanta Oddi R Pinontoan Ogie, Tommy B. Paruntu, Meisye H. B. Patricia Mandagi Pemmy Tumewu Petrus Adam Pioh, Diane Porong, Jellie Purwanto, Yanuar Jarwadi Rafli I. Kawulusan Rantung, Meity R. Regina R. Butarbutar Rena Paputungan Rinny Mamarimbing Rinny Mamarimbing Rogi, Johannes E. X Rombe, Nadia Jovanka Ronny Nangoi Ronny Nangoi Ronny Soputan Rorong, Frangky Rumende, Roiije R.H. Salaki, Christina Leta Salsabella, Syafira Samuel D. A. Kusuma Sandra E. Pakasi Sandra Pakasi Sandra Pakasi Sanriomi Sintaro Saroyo Saroyo Selvie Tumbelaka Selvie Tumbelaka Semuel D. Runtunuwu Sherlij Dumalang Sintaro, Sanriomi Sintaro Sirait, Hasanuddin Siti Mutmaina Pondaag Sofia Wantasen Suzanne L. Liwu Tambelu, Merry Feiby Tenda, Edwin Tineke M. Langi Titi Candra Sunarti Tommy B Ogie Tommy B. Ogie Tommy B. Ogie Walingkas, Stanley A. F. Wariki , Barce Andries Feriano Watung, Jackson F. Welly A. Kaurow Widiatmaka Widiatmaka Wiske Rotinsulu Wiske Rotinsulu Yefta Pamandungan Yoakhim J.E. Oessoe Yoakhim Y.E. Oessoe