Salsabilah Khansa, . (2020) MODEL KLASIFIKASI KESEGARAN IKAN MENGGUNAKAN EKSTRAKSI CIRI TRANSFORMASI WAVELET. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
In 2019, the Directorate General of PDSPKP of Ministry of Maritime Affairs and Fisheries (KKP) Republic of Indonesia, conducted a provisional survey of national fish consumption figures in 34 provinces, which turned out to reach 55.95 kg/capita/year (KKP Commitment to Increase, 2019) . Furthermore, for 2020, KKP is targeting in the national fish consumption figure to 56.39 kg/capita/year. One of the fish whose distribution is quite extensive and can almost be found in all Indonesian waters is a Selaroides leptolepis. Yellowstripe scad is one of the important economical types of fish consumed by the community. Traders and buyers often want to know whether the quality of fish sold or purchased can still be classified to be good and can still be stored in cold tempratures or not. One way to determine the condition of freshness viewed from Informatics is to extract object characteristics through image processing. In this study, using yellowstripe scad as a research subjects. The Wavelet Transform method will be used to extract fish image characteristics and K-Nearest Neighbor (KNN) algorithm to help classify the freshness of fish.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 1610511040], [Pembimbing: Jayanta S.Kom., M.Si.], [Penguji 1: Dr. Ermatita, M.Kom.], [Penguji 2: Henki Bayu Seta, S.Kom., MTI.], |
| Uncontrolled Keywords: | image processing, discrete wavelet transform, k-nearest neighbor dan yellowstripe scad |
| Subjects: | S Agriculture > SH Aquaculture. Fisheries. Angling T Technology > T Technology (General) T Technology > TR Photography |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | Salsabilah Khansa |
| Date Deposited: | 13 Jan 2022 02:25 |
| Last Modified: | 13 Jan 2022 02:25 |
| URI: | http://repository.upnvj.ac.id/id/eprint/6689 |
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