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Soekarta, Rendra
Teknik Informatika, Universitas Muhammadiyah Sorong
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Neuroscience Public Health Social Sciences Other

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Journal : bit-Tech

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Deep Learning-Based Approach for Identifying and Counting Wooden Blocks with YOLO Aras, Suhardi; Soekarta, Rendra; Umasugi, Edwin
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2627

Abstract

The wood processing industry in Indonesia, especially in the Southwest Papua region, faces ongoing challenges in accurately counting wooden logs, a task traditionally performed manually. Manual methods are time-intensive and prone to error, leading to inefficiencies in operations and weaknesses in resource management. This study addresses these challenges by applying a deep learning-based object detection approach, specifically the You Only Look Once version 8 (YOLOv8) algorithm, to automate the detection and counting of wooden beams in real time. YOLOv8 was chosen for its ability to perform high-speed and accurate detection even under varying environmental conditions, such as different lighting levels and camera angles. The model was trained on a custom dataset consisting of 265 annotated images of wooden beams, with a split of 70% for training, 20% for validation, and 10% for testing. Performance evaluation using a confusion matrix revealed a detection accuracy of 94%. These findings suggest that YOLOv8 is highly effective in supporting automation within wood processing workflows. By reducing dependency on manual labor and minimizing counting errors, the system contributes to more accurate inventory tracking and enhanced productivity. This research demonstrates the potential of integrating AI-driven models into mobile and industrial applications for improved efficiency in forestry-related sectors.
Co-Authors Abdillah, Muhammad Insan Achmad Saiku Wadianto Achmad Saiku Wardianto Ackswan, M. Aditya Tri Yudha Pratama Ahmad Nur Aswad Ainun K.D.P, Nofryanti Akbar Akbar Akbar Fahroji Paus Paus Akbar ALFIANI PUTRI FITRIYAH RACHMAN Alfiyyah Faridah Aminuyati Amri, Irman Anak Agung Istri Sri Wiadnyani Anita Rahayu Anita Rahayu Aras, Suhardi Ardian Syah Arfan Amran Sulaiman Arief Firmansyah ARNOLDUS JANSSEN POKENIKA Arpandi, Arpandi Asno Azzawagama Firdaus Asran Parkor Basri, Nurul Annisa Bita Malissa Dewi Astri Faroeq Dewi Astria Faroek Elrico Eri Fridayanti Ermin Ermin Fakhri , La Jupriadi Fitrah Pasaribu, Andi Muhammad Fitriyani Tella Fitriyani Tella Fridayanti, Eri Habibi Habibi Habibi Habibi Hasanuddinn Hasanuddinn Hasanuddinn, Hasanuddinn Hasri Putri Wattiheluw Hasryana Suci Dwi Purwanto Rahasia sakka Hidayatulah, Muhamad Luqman Histiarini, Aprisa Rian Ilham S Jamaluddin kadaton, Muhammad sahid s Katmas, Maskia Kayatun, Siti Nur La Jupriadi Fakhri La Muhammad Faishal Nurullah Latuconsina, Siti Rahma M. Ackswan Malik, Nunung Mardiana Muh.Said Melin Manipi, - Mersi Modok Miftah Sigit Rahmawati Modok, Mersi Moh. Fatkur Riski Nur Yahya Riski Mohammad Arief Nur Wahyudien Muh. Fadli Hasa Muhamad Luqman Hidayatulah Muhammad Asrul Muhammad ismail Zulkaedi Muhammad Jundullah Muhammad Rezki Muhammad Rizki Setyawan Muhammad sahid s kadaton Muhammad Taufik Aziz Muhammad Yusuf Muhammad Yusuf MUHAMMAD YUSUF Muhidin, Sakti Maulana Mulyaddin Mulyaddin Mulyaddin, Mulyaddin Musdalipah . Nabila NABILLA RIZQI AMALIA NUR ASRI Ningtias, Arya Ayu Nirwana Nurdjan Novita Sari Nunung Malik Nurbaya Nurdjan, Nirwana Nurhalizah Lizah Nurul Widya Har Ode, Endang Stahputri Pandu Diaz Nugraha Rafif Fauzan Ridwan Rahardika Bahari Putra, Fajar Rahman, Muh Fadhil Rahmawati, Miftah Sigit Rawi, Rais Dera Pua Retno Irianto, Dwi Reza Mochammad Said REZKI, REZKI Rinanda Tri Setiawan Rizki Setyawan, Muhammad Romdhana Dwi Fitriyani RoniHardika Roni SADRAK IMMANUEL SERARAWANI Said, Reza Mochammad Setiawan, Rinanda Tri SIMON, RESKI Simori, Pascalina Magrice Sinon, Hermon Siti Mutmainah Siti Soleha Rahayu Muklis Hayu SRI WULANDARI Suhardi Aras Suharsono Suharsono Suharsono Suharsono Sulaiman, Arfan Amran Surahmanto Syahputra, Abdi Iman Talaohu, Syamsudin Aliphadji Teguh Hidayat Iskandar Alam Tella, Fitriyani tivani nurizqi Umasugi, Edwin Visman, Javan Wahyu Ramadhan Wardianto, Achmad Saiku Wattimena, Mikhael Yapari, Denny Zulkaedi, Muhammad ismail