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All Journal Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan NUSANTARA: Jurnal Pengabdian Kepada Masyarakat
Tiara Devina Putri
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Computer Science & IT Electrical & Electronics Engineering Social Sciences

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KLASIFIKASI JENIS IKAN MENGGUNAKAN METODE K-NEAREST NEIGHBOR (KNN): STUDI KASUS PASAR BINTAN CENTER TANJUNGPINANG `Aisy, Rihadatul; Rihadatul 'Aisy; Tiara Devina Putri; Meilani Audi Kustanti; Muhajirul Fajri; Ceysha Diva Ratu Pramudya
Sustainable Vol 13 No 1 (2024): Jurnal Sustainable : Jurnal Hasil Penelitian dan Industri Terapan
Publisher : Fakultas Teknik Universitas Maritim Raja Ali Haji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31629/jgzezr59

Abstract

Indonesia has a diversity of fish species, but the identification process is still largely done manually, which is prone to errors and less efficient. This research aims to develop an automatic fish species classification system using the K-Nearest Neighbor (KNN) algorithm. Data were collected directly at Bintan Center Market Tanjungpinang, focusing on four types of fish: Sardinella, Scomber, Barbonymus and Euthynnus. Visual features of the fish such as texture and shape were extracted from digital images as classification features. The KNN algorithm then compares new data with classified data to determine fish species based on the majority of nearest neighbors. The research results show that the KNN method can improve classification accuracy and efficiency in identifying fish species. The feature extraction used in this study includes: GLCM (Gray Level Co-occurrence Matrix) and HOG (Histogram of Oriented Gradients). Preliminary training results show that the system achieved an accuracy of 71.34% on the training dataset, the results suggest that the method is promising for improving classification accuracy and efficiency in identifying fish species.
Inovasi Alat Pemisah Daun Kelapa dan Modul Penjualan Online untuk Meningkatkan Pendapatan dari Sapu Lidi di Desa Karang Rejo Muhammad Fatwa Sukmawan; Ceysha Diva Ratu Pramudya; Riko Endrizal; Rihadatul Aisy; Meilani Audi Kustanti; Tiara Devina Putri
Nusantara: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 2 (2025): Mei: NUSANTARA Jurnal Pengabdian Kepada Masyarakat
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/nusantara.v5i2.6104

Abstract

This Community Service Program aimed to enhance the productivity of broomstick craftsmen in Karang Rejo Village by innovating a coconut leaf separator tool and developing an online sales module. Traditionally, the separation process was manual, labor-intensive, and time-consuming, limiting production and income. The team designed a simple yet effective tool that increased daily output from 1–5 bundles to 6–7 bundles. Additionally, a digital sales module using platforms like Shopee was introduced to expand market reach. As a result, the local community improved production efficiency and gained new knowledge in modern marketing strategies. This program not only empowers the community economically and technologically but also promotes environmental sustainability by utilizing coconut leaves as economic resources. By applying appropriate technology and a digital approach, this initiative serves as a replicable model of village empowerment through local innovation, contributing to long-term economic growth and ecological awareness in rural areas.
Co-Authors Ceysha Diva Ratu Pramudya Meilani Audi Kustanti Muhajirul Fajri Muhammad Fatwa Sukmawan Rihadatul 'Aisy Rihadatul Aisy Riko Endrizal `Aisy, Rihadatul