Sistem Wireless Sensor Network untuk Kontrol Salinitas Air Menggunakan Metode Logika Fuzzy Mamdani pada Tambak Ikan Mujair

Yumandana, Putu Wibi (2023) Sistem Wireless Sensor Network untuk Kontrol Salinitas Air Menggunakan Metode Logika Fuzzy Mamdani pada Tambak Ikan Mujair. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Usaha budi daya ikan mujair pada BUMDes Delta Mina Sejahtera memerlukan perhatian terkait salinitas air tambak. Hal tersebut memengaruhi pertumbuhan dan keberlangsungan hidup ikan mujair. Nilai salinitas ideal bagi pertumbuhan ikan mujair berkisar 7-8 ppt. Kadar garam yang tinggi dapat diturunkan nilainya dengan mengirimkan air tawar. Karakteristik tambak yang luas dibutuhkan sistem pengambilan dan pengolahan salinitas yang akurat.
Dalam mengatasi permasalahan yang timbul, dibuatkan prototipe sistem kontrol salinitas air dengan mengimplementasikan sistem wireless sensor network (WSN). Penggunaan wireless sensor network bertujuan untuk mendapatkan nilai salinitas yang merata dengan menyebarkan node sensor ke beberapa titik pada area tambak yang luas. Data yang didapat dari node sensor dikirim ke node master dengan menggunakan radio transceiver. Pada node master terdapat kendali salinitas air menggunakan metode logika Fuzzy Mamdani. Pada sistem kontrol yang diimplementasikan, fungsi keanggotaan (membership function) terdiri dari dua input berupa error dan delta error dari pembacaan sensor salinitas yang nantinya menghasilkan output berupa nilai waktu pengiriman air tawar oleh pompa.
Berdasarkan hasil pengujian pada prototipe yang telah dibuat, penerapan WSN dalam mengirimkan data dari node sensor ke node master mendapat delay sebesar 2,4 detik. Pada sistem kontrol salinitas menggunakan logika Fuzzy Mamdani, mampu mencapai keadaan salinitas pada setpoint senilai 7,5 ppt dengan error steady state sebesar 0%. Jika dibandingkan dengan hasil simulasi MATLAB, rata-rata respons waktu yang dibutuhkan sistem prototipe untuk mencapai nilai salinitas akhir 7,5 ppt lebih lambat 1,55 detik.
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Oreochromis mossambicus fish farming in the Delta Mina Sejahtera requires attention regarding pond water salinity. This affects the growth and survival of the fish. The ideal salinity value for Oreochromis mossambicus growth is around 7-8 ppt. High salt content can be reduced in value by sending fresh water. The characteristics of large ponds require an accurate salinity collection and processing system.
In overcoming the problems that arise, a prototype of a water salinity control system is made by implementing a wireless sensor network (WSN) system. The use of wireless sensor networks aims to obtain uniform salinity values by spreading sensor nodes to several points in a large pond area. The data obtained from the sensor nodes is sent to the master node using a radio transceiver. At the master node there is control of water salinity using the Mamdani Fuzzy logic method. In the implemented control system, the membership function consists of two inputs in the form of errors and delta errors from the readings of the salinity sensor which will produce output in the form of the time value of fresh water delivery by the DC pump.
Based on the test results on the prototype that has been made, the application of WSN in sending data from the sensor node to the master node gets a delay of 2.4 seconds. In the salinity control system using Fuzzy Mamdani logic, it is able to reach a state of salinity at a setpoint of 7.5 ppt with a steady state error of 0%. When compared with the MATLAB simulation results, the average response time required for the prototype system to reach a final salinity value of 7.5 ppt is 1.55 seconds slower.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Kendali Salinitas, Logika Fuzzy Mamdani, Tambak Ikan Mujair, Wireless Sensor Network, Fishpond, Fuzzy Logic, Oreochromis mossambicus, Salinity Control, Wireless Sensor Network.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Vocational > 36304-Automation Electronic Engineering
Depositing User:	Putu Wibi Yumandana
Date Deposited:	15 Feb 2023 02:28
Last Modified:	15 Feb 2023 02:28
URI:	http://repository.its.ac.id/id/eprint/97269

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