SISTEM DETEKSI HAMA PADA KOLAM BUDIDAYA IKAN BERBASIS AUDIO DAN VIDEO

Prasetya, Septa yudha (2019) SISTEM DETEKSI HAMA PADA KOLAM BUDIDAYA IKAN BERBASIS AUDIO DAN VIDEO. Skripsi thesis, Institut Teknologi Nasional Malang.

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Abstract

Sistem Deteksi Hama Pada Kolam Budidaya Ikan Berbasis Audio Dan Video Septa Yudha Prasetya Eng. I Komang Somawirata Eng. Aryuanto Soetedjo septayudhapras@gmail.com ABSTRAK Sistem deteksi ini di buat dengan tujuan untuk mendeteksi hama pada kolam budidaya ikan, manfaat dari kolam adalah sebagai sumber pendapatan dengan mengelola kolam sebagai wadah atau tempat budidaya ikan konsumsi maupun ikan hias, Akan tetapi pada budidaya kolam ikan mempunyai berbagai permasalahan, salah satunya hama pada kolam ikan terutama hama predator ikan budidaya.hal ini di tunjukan dari banyaknya keluhan dari pembudidaya ikan kususnya pada budidaya ikan air tawar, Berdasarkan permasalahan tersebut peneliti bertujuan untuk merancang sebuah sistem deteksi hama pada kolam budidaya ikan berbasis suara dan video. Kata kunci: CNN, Image classifier, FFT, Sistem Deteksi, Hama kolam. Pest Detection System In Audio And Video Based Fish Ponds Septa Yudha Prasetya Eng. I Komang Somawirata Eng. AryuantoSoetedjo septayudhapras@gmail.com ABSTRACT This system is made for pests detections in fish ponds,the benefits for fish ponds is being a source of income by manage use for water reservoir or ponds of consumption fish and ornamental fish, however, in fish farming there are various problems,one of them is pests in fish ponds, especially aquaculture predator pests. This is indicated by the number of complaints from fish farmers especially in freshwater fish farming. Based on these problems the researchers aimed to design a system for detection of pests in sound and video based fish farming ponds Keywords:CNN, Image classifier, FFT, Detection System, pest fish ponds

Item Type:	Thesis (Skripsi)
Additional Information:	Septa Yudha Prasetya(1512534)
Uncontrolled Keywords:	CNN, Image classifier, FFT, Detection System, pest fish ponds
Subjects:	Engineering > Electrical Engineering
Divisions:	Fakultas Teknologi Industri > Teknik Elektro S1 > Teknik Elektro S1(Skripsi)
Depositing User:	Ms Nunuk Yuli
Date Deposited:	08 Oct 2019 05:31
Last Modified:	08 Oct 2019 05:31
URI:	http://eprints.itn.ac.id/id/eprint/4360

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