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Dedie Tooy
Agricultural Engineering Study Program, Dept. Of Agricultural Technology, Faculty Of Agriculture, Sam Ratulangi University.
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Social Sciences Transportation Other

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Journal : JOIV : International Journal on Informatics Visualization

 1 
A Convolutional Neural Network-based Intelligence System for the Identification of Copra Maturity Levels Latumakulita, Luther Alexander; Paat, Frangky J; Budiman, Glenn; Tooy, Dedie; Koibur, Mayko Edison; Islam, Noorul
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.2574

Abstract

The North Sulawesi Province, widely recognized as the Coconut Waving Province owing to its substantial coconut tree population, primarily depends on copra production. This research presents a novel methodology for determining copra maturity levels by utilizing a Convolutional Neural Network (CNN) on digital photographs, classifying them into three distinct stages: raw, half-ripe, and ripe. By employing a rigorous 10-fold cross-validation technique, our models demonstrated remarkable performance. Notably, even the model with the lowest performance achieved a commendable accuracy of 87.78% during the training and validation phases. The model that exhibited the highest level of performance achieved a perfect accuracy rate of 100%. Moreover, when subjected to real-world testing situations using novel data, the model with the lowest performance exhibited a noteworthy accuracy of 83.34%. In contrast, the highest-performing model achieved a flawless accuracy of 100%. Based on the findings above, an online system has been built that leverages the most optimal model, facilitating the assessment of copra maturity in real-time. The prospects encompass the integration of this methodology into copra sorting machinery, thereby yielding advantages for both agricultural producers and industrial sectors. This research enhances copra quality control processes and promotes sustainability in the copra industry. Further research could explore refining the CNN model to accommodate a broader range of copra variations and investigating automation possibilities in copra production processes. These endeavors would advance the efficacy and applicability of copra maturity classification methods, fostering continued innovation in the industry.
Co-Authors A.A. Ketut Agung Cahyawan W Adhiyanto D. Sinadia Amelia, Putri Arthur G. Pinaria Assa, Jan Rudolf Balikan, Chikita M. Bobby Polii Budiman, Glenn Chevin A.T Unsong Christian M. Sumampouw Christine F Mamuaja Christine Mamuaja D. Ludong D. Pangkerego D. Rumambi Daniel P. M. Ludong Daniel P. M. Ludong Daniel P.M. Ludong David P Rumambi David P. Rumambi David Paul Rumambi Defly I. C. Hansang Deisy Pakiti Denny Saroinsong Dewinta Lantang Diana Marice Jitmau E. Kambey Elsje Pauline Manginsela Eva M. R. Mukuan Fidel C. A. Tendeng Fiyoliyandi Djangu Frangky J. Paat Frans Wenur Freeke Pangkerego Gerson Wohon Grentino Marcelo Durand Handry Rawung Herry F Pinatik Herry F. Pinatik Herry F. Pinatik Herry Frits Pinatik Ireine A. Longdong Ireine A. Longdong Ireine Adriana Longdong Ireine Adriana Longdong Ireine Longdong Islam, Noorul Jantje Pongoh Jeanne Martje Paulus, Jeanne Martje Jhiro Christian Mailool Johanes F. X. Rogi Johanes F. X. Rogi, Johanes F. X. Kahar Drakel Koapaha, T. Koibur, Mayko Edison Kusuma, Samuel D. A. Lady C. Ch. E. Lengkey Lady E. Ch Lengkey Lady Lengkey Laleleh, Sherina Lantang, Dewinta Lengkey, Lady E.Ch. Leo Kalesaran Liwu, Suzanne L. Longdong, Ireine Adriana Lucia Cecilia Mandey Ludong, D. Luther A. Latumakulita Luther Latumakulita Lynda H. Sue Mamuaja, Christine F Mandagi, Franklin Manoppo, Yesica Febriani Maya H. Montolalu, Maya H. Meike C. Kusaly Merywati Maku, Merywati Meylan Kowimbin Mikhael Farly Gahung Mochtar, Juventus Yoel Mona, Frits Montolalu, Maya Montolalu, Maya Hendrietta Mukhlis Mukhlis Nofri Abdul Azis Amiri Nordy Fritsgerald Lucky Waney Novianti Nari Oessoe, Yoakhim Y.E. Paat, Frangky J Paat, Frangky Jessy Pakiti, Deisy Pangkerego Freeke Pangkerego, D. Pinatik, Herry F Pinatik, Herry Frits Pioh, Diane Rantung, Ruland A Rantung, Ruland Aswin Renaldy S Mamangkey Reyfhel H. F. Tagah Rinny Mamarimbing Rinny Mamarimbing Rizaldi Akbar Kaplale Robert Molenaar Ruland A. Rantung Ruland Aswin Rantung Ruland Rantung Rumambi, David P Rumambi, David Paul Samuel D. A. Kusuma Sandra E. Pakasi Sandra Pakasi Sandra Pakasi Selvie Tumbelaka Silvia Lakumani Sofia Wantasen Stefy Wagiu Suzanne L. Liwu Tangkeallo, Sindy C. T. Telinus Yigibalom Teltje Koapaha Tenda, Edwin Tineke Langi Tineke M. Langi Verby N.D. Rumintjap Verby N.D. Rumintjap, Verby N.D. Walangitan, Khesilya E. Waney, Nordy Fritsgerald Lucky Wangko Iwan Marchel Yoakhim Y.E. Oessoe Yosua Kawung