Sistem Pengendalian Kualitas Air Dan Pemberi Pakan Otomatis Berbasis Internet Of Things Pada Ikan Mas Koki (Carassius Auratus)

Ramadhani, Aristo (2024) Sistem Pengendalian Kualitas Air Dan Pemberi Pakan Otomatis Berbasis Internet Of Things Pada Ikan Mas Koki (Carassius Auratus). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kelangsungan dan pertumbuhan Ikan salah satunya dipengaruhi oleh kualitas air. Kualitas yang baik akan menjadi media berbagai berbagai macam ikan dengan baik. Memanajemen kualitas air kolam ikan mampu menjadi solusi meningkatkan pertumbuhan ikan, dengan parameter fisik kualitas air yaitu Temperatur (C), derajat keasaman (pH), Jumlah Padatan Terlarut (PPM) dan Kekeruhan (NTU). Selain itu pemberian pakan juga harus diperhatikan sesuai dengan kebutuhannya. Jika pemberian pakan terlalu sedikit maka pertumbuhan ikan tidak optimal, sedangkan jika pemberian pakan terlalu berlebih maka akan menurunkan indikator kualitas air yang dihasilkan oleh sisa-sisa pakan yang tidak dimakan ikan ataupun hasil ekskresi ikan baik urin maupun feses yang berlebih, hal ini bisa menyebabkan ikan mati masal jika masalah ini tidak ditangani dengan cepat dan tepat. Oleh karena itu penulis merancang alat pengendalian yang secara konsisten menstabilkan indikator kualitas air kolam serta dilengkapi dengan pemberi pakan otomatis supaya pertumbuhan ikan berkembang dengan baik. Cara kerja dari sistem ini yaitu mampu Mengukur kualitas air dengan 4 parameter yaitu Suhu, pH, Kekeruhan, Padatan terlarut. Serta dapat memberikan pakan ikan secara otomatis dan terjadwal dengan prinsip sistem kerja dengan respon cepat dan tepat dalam menjaga set point / standar air baku ikan. Hasil pengujian akurasi sensor yaitu sensor suhu sebesar 96,4%, sensor ph sebesar 95,2%, sensor kekeruhan sebesar 95,8% dan sensor padatan terlarut sebesar 95,8%. Selain itu hasil pengujian sistem pengendalian air dan pemberian pakan dapat bekerja sesuai dengan program. Dari hasil percobaan sistem ini mampu memberikan angka kelulusan hidup ikan lebih tinggi 20% dibandingkan dengan akuarium yang tidak menggunakan sistem, serta bobot ikan spesifik diatas 5%.

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The survival and growth of fish is influenced by water quality. Good quality will serve as a medium for various kinds of fish well. Managing fish pond water quality can be a solution to increase fish growth, with the physical parameters of water quality, namely temperature (C), degree of acidity (pH), amount of dissolved solids (PPM) and turbidity (NTU). Apart from that, feeding must also be considered according to its needs. If you give too little feed, fish growth will not be optimal, whereas if you give too much feed, it will reduce the water quality indicators produced by food remains that are not eaten by the fish or excess fish excretion, both urine and feces, this can cause the fish to mass deaths if this problem is not handled quickly and appropriately. Therefore, the author designed a control tool that consistently stabilizes pond water quality indicators and is equipped with an automatic feeder so that fish growth develops well. The way this system works is that it is able to measure water quality with 4 parameters, namely temperature, pH, turbidity, dissolved solids. And can provide fish feed automatically and on a schedule with the principle of a working system with a fast and precise response in maintaining the set point / raw water standards for fish. The test results for sensor accuracy were the temperature sensor at 96.4%, the pH sensor at 95.2%, the turbidity sensor at 95.8% and the dissolved solids sensor at 95.8%. Apart from that, the results of testing the water control and feeding systems can work according to the program. From the experimental results, this system was able to provide fish survival rates that were 20% higher compared to aquariums that did not use the system, as well as specific fish weights above 5%.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Internet of Things, Sistem Kontrol, Kualitas Air, Pemberi Pakan Otomatis =========================================================== Internet of Things, Control System, Water Quality, Automatic Feeder
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ222 Supervisory control systems. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3070 Automatic control
Divisions:	Faculty of Vocational > Mechanical Industrial Engineering (D4)
Depositing User:	Aristo Ramadhani
Date Deposited:	18 Mar 2024 06:31
Last Modified:	18 Mar 2024 06:34
URI:	http://repository.its.ac.id/id/eprint/107810

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