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All Journal JTERA (Jurnal Teknologi Rekayasa) Journal of Global Engineering Research & Science (J-GERS)
Salsabil, Sani
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering

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PROTOTIPE ALAT PENYORTIR JENIS IKAN OTOMATIS BERDASARKAN CITRA MATA MENGGUNAKAN ALGORITMA YOLO Salsabil, Sani; Anjara, Febria; Jaenul, Ariep; Dionova, Brainvendra Widi; Putri, Arisa Olivia; Salsabila, Ghina
JTERA (Jurnal Teknologi Rekayasa) Vol 9, No 2: December 2024
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v9.i2.2024.131-136

Abstract

This research presents the development of an automated fish sorting system leveraging image processing technology to enhance productivity within the fishing industry. Conventional fish sorting methods are predominantly manual, resulting in significant time and labor expenditures. To mitigate these challenges, the researchers designed and implemented a fish sorting device capable of categorizing fish based on species and quality during the management of fishery products. The system employs parameters such as eye color and skin or scale color, utilizing the YOLO algorithm to evaluate the accuracy of species and quality detection through image processing. The research encompasses several testing scenarios to validate the system's efficacy. The initial test utilized the ESP32 Cam to identify fish types from a sample of 16 fish, including Milkfish, Mackerel, Catfish, and Tilapia. The results demonstrated a high level of accuracy, with detection readings ranging from 0.902344 to 0.996094; however, Catfish and Tilapia were not detected due to their exclusion from the training dataset. Following this, the study evaluated fish quality through scale color parameters using the TCS3200 sensor, indicating that RGB values effectively differentiate fresh and non-fresh fish. The final test assessed actuator performance for sorting, achieving a 100% accuracy rate with no operational errors in the servo motor. Overall, the results indicate that the system can accurately identify species with a 100% success rate across the 16 samples and achieve the same rate for quality identification from 8 test images of two fish species. Additionally, the AI training metrics yielded a precision of 0.98 (98%), a recall of 0.96 (96%), and an F1 score of 0.97 (97%). In conclusion, this automated fish sorting system demonstrates significant potential for improving efficiency and accuracy in fish classification and quality assessment within the fishing industry, thereby contributing to enhanced productivity and operational effectiveness.
Analysis of the Effectiveness of Using E-Commerce Marketplaces Shopee and Tokopedia in Loxus Living Company Junaedi, Fajri; Salsabil, Sani; Ekawati, Risma; Faizah, Safira
Journal of Global Engineering Research and Science Vol. 2 No. 2 (2023): Vol. 2 No. 2 (Desember 2023): Journal of Global Engineering Research & Science
Publisher : Jakarta Global University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56904/j-gers.v2i2.57

Abstract

The analysis reveals the impact of utilizing E-Commerce Marketplaces such as Shopee and Tokopedia in the strategies of Loxus Living Company.The adoption of e-commerce platforms like Shopee and Tokopedia plays a vital role for businesses aiming to enhance their competitiveness and sales in the modern digital landscape. This study delves into how Loxus Living Company leverages these marketplaces to boost its online visibility, drive sales, and monitor advancement towards set objectives. Factors such as user experience, safety, and transaction efficiency are considered when evaluating e-commerce success. The results illuminate how utilizing technology, and new media can boost business growth and expand the market.
Co-Authors Ariep Jaenul Arisa Olivia Putri Brainvendra Widi Dionova Faizah, Safira Febria Anjara Junaedi, Fajri Risma Ekawati, Risma Salsabila, Ghina