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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Ilmiah Kesehatan (JIKA)
David Gunawan, David
Brawijaya University
Computer Science & IT Health Professions Medicine & Pharmacology Nursing Public Health

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Development of YOLO-Based Mobile Application for Detection of Defect Types in Robusta Coffee Beans Nugroho, Eko Dwi; Verdiana, Miranti; Algifari, Muhammad Habib; Afriansyah, Aidil; Firmansyah, Hafiz Budi; Rizkita, Alya Khairunnisa; Winarta, Richard Arya; Gunawan, David
Journal of Applied Informatics and Computing Vol. 9 No. 1 (2025): February 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i1.8886

Abstract

Improving the quality of Robusta coffee beans is a crucial challenge in the coffee industry to ensure that consumers receive high-quality products. However, the identification of defects in coffee beans is still largely performed manually, making the process error-prone and time-consuming. This study aims to develop a YOLO-based mobile application to detect defects in Robusta coffee beans quickly and accurately. The method employed in this study is YOLO, a deep learning-based object detection algorithm known for its real-time object detection capabilities. The application was tested using a dataset of Robusta coffee beans containing various defects, such as broken, black, and wrinkled beans. The test results indicate that the application achieves high detection accuracy, with the black bean class achieving 95.3% accuracy, while the moldy or bleached bean class records the lowest accuracy at 62.2%. This application is expected to assist farmers and coffee industry stakeholders in improving the quality of Robusta coffee beans and enhancing the efficiency of the sorting process.
Sleep Quality and Attentional Function in Adolescent Gamers Aged 13-14 Years in Makassar Limbeng, Deni Hansen; Wuysang, Audry Devisanty; Gunawan, David; Hamid, Firdaus; Basir, Hasmawaty; Amran, Muhammad Yunus
Jurnal Ilmiah Kesehatan (JIKA) Vol. 6 No. 1 (2024): Volume 6 Nomor 1 April 2024
Publisher : Sarana Ilmu Indonesia (salnesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36590/jika.v6i1.575

Abstract

The prevalence of adolescents who spend >5 hours per day playing games has a higher risk of developing sleep disorders. Gaming addiction can cause sleep deprivation and the inability to concentrate, which can lead to attention disorders and impulsive behavior. This study is an analytical observational study with a cross-sectional design that aims to determine the relationship of sleep quality in adolescent gamers to impaired attentional function at SMP Negeri 30 Makassar which was conducted in January 2023. The total subject in the study was 64 people. Most of the subject had a duration of playing games of 3-6 hours per day, which totaled 35 (54,6%) people. Gamers who have abnormal sleep quality are 43 (67,2%). We found that the longer duration of gaming caused the sleep quality to decrease (p-value=0,032). There was a significant relationship between the Pittsburgh Sleep Quality Index (PSQI) score with the visual attention test score (p-value=0,001) and the digit span word test score (p-value=0,006). This study concludes that poor sleep quality is associated with impaired attentional function in the accuracy and reaction domain and impaired attentional function in the working memory domain.
Co-Authors Afriansyah, Aidil Algifari, Muhammad Habib Amran, Muhammad Yunus Basir, Hasmawaty Eko Dwi Nugroho Firmansyah, Hafiz Budi Hamid, Firdaus Limbeng, Deni Hansen Rizkita, Alya Khairunnisa Verdiana, Miranti Winarta, Richard Arya Wuysang, Audry Devisanty