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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Pengabdian Magister Pendidikan IPA NUSANTARA: Jurnal Pengabdian Kepada Masyarakat International Journal of Natural Science Studies and Development (IJOSS)
Yuhendra AP
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences

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Real-time object detection to classify export quality of mangosteen using variants of you only look once version 8 Maylawati, Dian Sa'adillah; Fuadi, Mi’raj; Yniarto, Kurniawan; AP, Yuhendra; Nugraha, Rizky Rahmat; Harahap, Akbar Hidayatullah; Wahana, Agung
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp116-128

Abstract

Mangosteen is one of the leading export commodities from Indonesia. Despite its great economic potential, only about 25% of Indonesian mangosteens meet export standards, mainly due to visual defects such as yellow sap and spots on the skin of the fruit. The process of sorting export worthy mangosteens has been done manually, which tends to be time consuming and inconsistent. Therefore, this study aims to utilize artificial intelligence technology in building a real-time image recognition model to improve the efficiency and accuracy of the export-quality mangosteen sorting process. This study uses you only look once version 8 (YOLOv8) as an image recognition model with YOLOv8 variants, including nano, small, medium, large, and extra large variants. The results of the study using 4,014 primary and 255 secondary data of mangosteen, the highest performance is reached by YOLOv8 medium 82% of accuracy, 0.856 of mean average precision (mAP)50, and 0.616 of mAP50-95. This result is obtained from 70% training, 20% validation, and 10% testing data with epoch stop 85. These results indicate that the model can provide good performance in mangosteen export quality classification. This research contributes to the fields of agricultural technology and artificial intelligence by offering an innovative solution to a practical problem, enhancing efficiency, accuracy, and scalability in export-quality mangosteen sorting.
Improving Chocolate Quality and Safety Through Food Technology-Based Cocoa Processing Innovation AP, Yuhendra; Kusuma Nurrohman, Reza; Fuadi, Mi’raj; Saloko, Satrijo; Sabani, Rahmat; Sweca Yasa, I Wayan; Sumarsono, Joko; Pawestri, Setyaning; Afni, Nur; Dinanta Utama, Qabul; Werdiningsih, Wiharyani; Sukmawaty, Sukmawaty; Dwi Putra, Guyup Mahardhian; Ajeng Setiawati, Diah; Abdul Muttalib, Surya; Putri Pertiwi, Made Gendis; Puspitasari, Isnaini; Irfan Khalil, Fakhrul; Sauqi Isnain, Fuad; Purnama Dewi, Endang; Antariksana Bachmida, Elya; Bin Wan Ishak, Wan Rosli; Ahmad, Haslina
Jurnal Pengabdian Magister Pendidikan IPA Vol 9 No 2 (2026): April-Juni 2026
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v9i2.14928

Abstract

The increasing challenges faced by cocoa farmers in Kampung Cokelat Senare, particularly the decline in cocoa yields since 2020, have necessitated innovative interventions. This community service initiative focuses on improving cocoa processing techniques through food technology to enhance the quality and safety of locally produced chocolate. Expert involvement facilitates effective knowledge exchange essential for revitalizing the local cocoa industry. The primary objective of this initiative is to educate farmers on modern cocoa processing methods and food safety protocols to improve chocolate quality and promote sustainable production. The methodology includes structured workshops led by experts, including Prof. Wan Rosli Bin Wan Ishak, emphasizing optimized cocoa roasting techniques and hygienic processing practices. These activities are complemented by practical demonstrations and field visits to local cocoa processing facilities, enabling direct application of newly acquired knowledge. The initiative produced several notable outcomes. Farmers demonstrated improved understanding of cocoa roasting parameters, resulting in enhanced chocolate flavor profiles. In addition, improved safety measures during processing contributed to reduced aflatoxin contamination, addressing critical food safety concerns. The interactive workshop format increased participant engagement and encouraged adoption of modern techniques. Survey results indicated a positive change in farmers’ attitudes toward innovation and a commitment to applying these methods. Overall, this initiative has positioned the community toward more sustainable cocoa production, with expected improvements in product quality and economic resilience. The program highlights the importance of education, collaboration, and technology transfer in strengthening local cocoa-based industries.
Sustainable Engineering-Based Management and Valorization of Seaweed Waste for High-Value Biomass Utilization AP, Yuhendra; Kusuma Nurrohman, Reza; Fuadi, Mi’raj; Saloko, Satrijo; Sabani, Rahmat; Sweca Yasa, I Wayan; Sumarsono, Joko; Pawestri, Setyaning; Afni, Nur; Dinanta Utama, Qabul; Werdiningsih, Wiharyani; Sukmawaty, Sukmawaty; Dwi Putra, Guyup Mahardhian; Ajeng Setiawati, Diah; Abdul Muttalib, Surya; Putri Pertiwi, Made Gendis; Puspitasari, Isnaini; Irfan Khalil, Fakhrul; Sauqi Isnain, Fuad; Purnama Dewi, Endang; Antariksana Bachmida, Elya; Bin Wan Ishak, Wan Rosli; Ahmad, Haslina
Jurnal Pengabdian Magister Pendidikan IPA Vol 9 No 2 (2026): April-Juni 2026
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v9i2.14929

Abstract

This community service initiative focused on the sustainable management and valorization of Kappaphycus alvarezii waste in Ekas Buana Village, specifically within the Merah Putih Fishing Camp engaging local fishermen from Paser Puteh, under the leadership of Mr. M. Toni. This initiative, coordinated by Fatepa and led by Dr. Reza Kusuma Nurrohman, was conducted on January 22, 2026, and featured contributions from notable experts including Prof. Wan Rosli Bin Wan Ishak from Universiti Sains Malaysia and Assoc. Prof. ChM. Dr. Haslina Ahmad from Universiti Putra Malaysia. The discussions included the potential of K. alvarezii as a sustainable source of bioactive compounds for functional food innovation, emphasizing riboflavin extracts and their health benefits. This initiative aimed at uplifting local fishing communities by demonstrating the economic viability of seaweed waste and its integration into sustainable agricultural practices. The findings align with cooperative strategies fostering dual benefits: environmental sustainability through waste valorization and economic advancement through the creation of high-value products.
Co-Authors A.A. Made Semariyani Afni, Nur' Agung Wahana Ahmad, Haslina Amuddin Amuddin Amuddin Antariksana Bachmida, Elya Antesty, Sella Ari Handono Ramelan Ayu Widhiantari, Ida Baiq Rien Handayani, Baiq Rien Bin Wan Ishak, Wan Rosli Diah Ajeng Setiawati Diah Ajeng Setiawati, Diah Ajeng Dinanta Utama, Qabul Dwi Putra Buana Sakti Elya Antariksana Bachmida Endang Purnama Dewi Fakhrul Irfan Khalil Firman Fajar Perdhana Fitria Dea Ananda Fuad Sauqi Isnain Fuadi, Mi’raj Guyup Mahardhian Dwi Putra Hairul Azmi, Muhamad Hanifah Ayu Harahap, Akbar Hidayatullah Hary Kurniawan Hidayat, Agriananta Fahmi I Gede Pasek Mangku I Wayan Sudiarta I Wayan Sweca Yasa I Wayan Sweca Yasa, I Wayan Ince Siti Wardatullatifah S Irwan Muthahanas Isnaini Puspitasari Joko Sumarsono Khaerul Rizal, Muhammad Kurniawan Yuniarto Kusuma Nurrohman, Reza Lalu Muhammad Furkan Luh Suriati M. Aditya Prayoga M. Azhar Mustafid M. Rizki Alfariji M. Yogi Riyantama Isjoni M.Azhar Mustafid Made Gendhis Putri Pertiwi Maylawati, Dian Sa'adillah Mi’raj Fuadi Mi’raj Fuadi Muhamad Munzir Muhammad Zahran Rasyid Sulaeman Murad, Murad Mutia Devi Ariyana Neyla Vista Maramy Ni Luh Putu Putri Setianingsih Ni Made Ayu Suardani Nugraha, Rizky Rahmat Nur Afni Nurrachman Pavalee Chompoorat Tridtitanakiat Pawestri, Setyaning Puspitasari, Isnaini Putri Pertiwi, Made Gendis Rahman Yazid Tabrani Rahmat Sabani Raphael Bianco Huwae Reza Kusuma Nurrohman Rini Nofrida Saparudin Saparudin Satrijo Saloko Satrijo Saloko Sauqi Isnain, Fuad Sella Antesty Sukmawaty Sukmawaty Sukmawaty Sukmawaty, Sukmawaty Surya Abdul Muthalib Surya Abdul Muttalib Surya Abdul Muttalib, Surya Tri Isti Rahayu Wahyudi Zulfikar Wayan Sweca Yasa Wenny Amaliah Wiharyani Werdiningsih Wiwin Apriyanditra Yessica Romauli Sinaga Yniarto, Kurniawan Zulfiana Jayanti