ALAT SORTIR IKAN LELE OTOMATIS BERDASARKAN KLASIFIKASI BERAT

Fiqron Nur, Bimbi (2024) ALAT SORTIR IKAN LELE OTOMATIS BERDASARKAN KLASIFIKASI BERAT. Skripsi (S1) thesis, Universitas Muhammadiyah Ponorogo.

	Text (SURAT PERSETUJUAN UNGGAH KARYA ILMIAH) Surat Persetujuan unggah karya ilmiah.pdf Download (401kB)
	Text (Halaman Depan) Halaman Depan.pdf Download (3MB)
	Text (BAB I) BAB I.pdf Download (193kB)
	Text (BAB II) BAB II.pdf Restricted to Repository staff only Download (530kB)
	Text (BAB III) BAB III.pdf Restricted to Repository staff only Download (771kB)
	Text (BAB IV) BAB IV.pdf Restricted to Repository staff only Download (2MB)
	Text (BAB V) BAB V.pdf Restricted to Repository staff only Download (120kB)
	Text (Daftar Pustaka) Daftar Pustaka.pdf Download (187kB)
	Text (Skripsi Full Text) Skripsi Full Text.pdf Restricted to Repository staff only Download (7MB)

Abstract

Catfish farming in Indonesia has high economic value and is relatively easy to cultivate. The harvesting process of catfish is crucial in determining the yield and quality, especially the weight of the fish, which influences the grade and selling price. At a catfish farm in Dukuh Brancang, Sugihwaras Village, Maospati Subdistrict, Magetan Regency, there is an issue with the manual sorting process using perforated containers, leading to inaccurate fish weight, lack of transparency for buyers, and the involvement of significant labor. As a solution, an automatic catfish sorting device based on weight was developed. This device uses a Load Cell HX711 and an ultrasonic sensor integrated with a conveyor belt. As the fish pass along the conveyor, the weight sensor measures their weight and sends the data to an ESP32 microcontroller. The microcontroller determines whether the fish's weight meets the harvesting standards. The ultrasonic sensor counts the number of fish that pass the sorting criteria. A servo on the conveyor directs the fish to the harvesting channel. The sorting results are displayed on an I2C 16x2 LCD screen and connected to Telegram via IoT, allowing the sorting results to be sent via messages, as well as monitoring and adjusting the weight classification standards. With adjustable weight classification standards based on factors such as feed type, environmental conditions, and farming methods, this tool enhances harvesting efficiency and provides adaptive settings according to the catfish farming conditions. Testing results indicate that this automatic sorting device functions well, with a 1.13% error rate for the Load Cell HX711 sensor, but the catfish counting using the ultrasonic sensor is less effective, with a 28.6% error rate.

Item Type:	Thesis (Skripsi (S1))
Uncontrolled Keywords:	Sortir Otomatis, Ikan Lele, Internet of Things (IoT), ESP 32, Load Cell HX711
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Engineering
Depositing User:	ft . userft
Date Deposited:	26 Aug 2024 06:32
Last Modified:	26 Aug 2024 06:32
URI:	http://eprints.umpo.ac.id/id/eprint/14662

Actions (login required)

View Item