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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Bulletin of Electrical Engineering and Informatics International Journal of Advances in Intelligent Informatics Jurnal Inspiration Panrita Abdi - Jurnal Pengabdian pada Masyarakat JOIV : International Journal on Informatics Visualization Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat EPI International Journal of Engineering Jurnal Penelitian Enjiniring Fakultas Teknik Unhas Jurnal Teknologi Elekterika Indonesian Journal of Electrical Engineering and Computer Science Community Development Journal: Jurnal Pengabdian Masyarakat JURNAL SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat Jurnal INFOTEL
Indrabayu Indrabayu
Departemen Teknik Informatika, Fakultas Teknik, Universitas Hasanuddin
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Public Health Other

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Journal : International Journal of Advances in Intelligent Informatics

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Cocoa bean quality identification using a computer vision-based color and texture feature extraction Basri, Basri; Indrabayu, Indrabayu; Achmad, Andani; Areni, Intan Sari
International Journal of Advances in Intelligent Informatics Vol 11, No 1 (2025): February 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v11i1.1609

Abstract

The current pressing issue in the downstream processing of cocoa beans in cocoa production is a strict quality control system. However, visually inspecting raw cocoa beans reveals the need for advanced technological solutions, especially in Industry 4.0. This paper introduces an innovative image-processing approach to extracting color and texture features to identify cocoa bean quality. Image acquisition involved capturing video with a data acquisition box device connected to a conveyor, resulting in image samples of Good-quality and Poor-quality of non-cutting cocoa beans dataset. Our methodology includes multifaceted advanced pre-processing, sharpening techniques, and comparative analysis of feature extraction methodologies using Hue-Saturation-Value (HSV) and Gray Level Cooccurrence Matrix (GLCM) with correlated features. This study used 15 features with the highest correlation. Machine Learning models using Support Vector Machine (SVM) with some parameter variation value alongside an RBF kernel. Some parameters were measured to compare each approach, and the results show that pre-processing without sharpening achieves better accuracy, notably with the HSV and GLCM combination reaching 0.99 accuracy. Adequate technical lighting during data acquisition is crucial for accuracy. This study sheds light on the efficacy of image processing in cocoa bean quality identification, addressing a critical gap in industrial-scale implementation of technological solutions and advancing quality control measures in the cocoa industry.
Co-Authors A. Ais Prayogi Alimuddin A.Ais Prayogi Abdul Razak Munir Adnan Adnan Ady Wahyudi Paundu Ahmad Rifaldi Amil A. Ilham Amil Ahmad Ilham Andani Achmad Andani Achmad Andini D. Achmad Andri Anto Aman Andri Anto Aman, Andri Anto Anugrayani Bustamin Anugrayani Bustamin Anugrayani Bustamin Aqfir Areni, Intan Sari Arifin, Nurhikma Aulia Darnilasari Bake, Sabda Ansari Basri Basri Bustamin, Anugrayani Christoforus Yohanes Dewi, Andi Ratna Sari Edi Yanto Elly Warni Elly Warni Elyas Palantei Fakhriyah, Sitti Fakhriyah Ibrahim, Rafiqa Nurcahyani Ida Ayu Putu Sri Widnyani Ifwan, Ichsanul Al Ingrid Nurtanio Intan Sari Areni Intan Sari Areni Intan Sari Areni Intan Sari Areni Iqra Aswad Marindah, Tyanita Puti Muh Anshar Muh Niswar Muh Niswar, Muh Muh. Alief Fahdal Imran Oemar Muhammad Abdillah Rahmat, Muhammad Abdillah Muhammad Irsan Sabir Muhammad Ismail Muhammad Niswar Mukarramah Yusuf Nurul Fathanah Mustamin Rahayu, Mesra Rahmat Hardian Putra Rhiza S. Sadjad Rieka Zalzabillah Putri Rizka Irianty Rohmah Nur Hidayah Rushadah, Nur Indriani Salam, Andi Ejah Umraeni Sespajayadi, Ary Sidehabi, Sitti Wetenriajeng Siska Anraeni Syafruddin Syarif Syafruddin Syarif Syahputra, Rendy Aziz Syukriyanto Latif Usman Umar Warni, Elly Yohannes, Christoforus Zaenab Muslimin Zaenab Muslimin Zahir Zainuddin Zulfajri Basri Hasanuddin Zulkifli Tahir