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All Journal JTERA (Jurnal Teknologi Rekayasa) Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Global Engineering Research & Science (J-GERS)
Salsabil, Sani
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Public Health

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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.
PENINGKATAN KETERAMPILAN PENGGUNAAN TABLEAU UNTUK BISNIS INTELEGENSI PADA SISWA MANAJEMEN PERKANTORAN DAN LAYANAN BISNIS SMK WIRA BUANA 1 Anjara, Febria; Salsabil, Sani; Ekawati, Risma; Jaenul, Ariep; Putri, Arisa Olivia; Sukmaputra, Dimas Aufa; Dwifayanti, Emelina; Balqis, Nashua Queentra; Dzuhro, Muhammad Syam
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2025): Volume 6 No. 1 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i1.41891

Abstract

Dalam lingkungan bisnis yang dinamis dan sangat kompetitif, lembaga pendidikan semakin fokus untuk meningkatkan kompetensi siswa agar sesuai dengan tuntutan industri. Kegiatan ini bertujuan untuk meningkatkan keterampilan siswa dalam menggunakan Tableau untuk Bisnis Intelijensi di SMK Wira Buana 1, khususnya di kalangan siswa program Manajemen Perkantoran dan Layanan Bisnis. Pelatihan ini melibatkan serangkaian workshop terstruktur yang dirancang untuk memberikan pengalaman langsung dalam menggunakan Tableau, serta menyoroti pentingnya alat ini dalam analisis dan visualisasi data. Metodologi yang digunakan mencakup persiapan melalui diskusi kelompok fokus, pengadaan lisensi Tableau, pengembangan modul pelatihan, dan pelaksanaan sesi praktis. Hasil kegiatan menunjukkan peningkatan signifikan dalam kemampuan siswa untuk menganalisis dan memvisualisasikan data secara efektif menggunakan Tableau, sehingga mempersiapkan mereka dengan keterampilan yang esensial untuk dunia kerja. Inisiatif ini tidak hanya menyelaraskan hasil pendidikan dengan kebutuhan industri, tetapi juga meningkatkan kesiapan siswa untuk menghadapi tantangan dalam lanskap bisnis yang berbasis 5.0.
Co-Authors Ariep Jaenul Arisa Olivia Putri Balqis, Nashua Queentra Brainvendra Widi Dionova Dwifayanti, Emelina Dzuhro, Muhammad Syam Faizah, Safira Febria Anjara Junaedi, Fajri Risma Ekawati, Risma Salsabila, Ghina Sukmaputra, Dimas Aufa