Dedat, Fabel Azzam (2024) Rancang Bangun Sistem Kontrol dan Monitoring Kekeruhan Air dan Total Dissolved Solids Secara Realtime untuk Budidaya Udang Vaname Menggunakan Metode Fuzzy Logic Control Terintegrasi Internet of Things. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Keberhasilan budidaya udang vaname sangat tergantung pada kualitas lingkungan perairan yang baik. Penurunan kualitas air dapat menghambat pertumbuhan dan menurunkan kualitas udang. Parameter penting yang harus dipantau meliputi kadar garam, pH, oksigen terlarut, suhu, dan kekeruhan air. Kekeruhan air, yang disebabkan oleh material tersuspensi, dapat mengganggu fotosintesis dan meningkatkan total padatan terlarut, yang berdampak negatif pada kesehatan udang. Diperlukan sistem monitoring dan kontrol kualitas air secara realtime. Penelitian ini bertujuan untuk mengembangkan sistem kontrol dan monitoring kekeruhan air dan Total Dissolved Solids (TDS) secara realtime untuk budidaya udang vaname menggunakan metode Fuzzy Logic Control yang terintegrasi dengan Internet of Things (IoT). Metodologi yang digunakan berbasis eksperimen meliputi pengujian kalibrasi sensor, karakterisasi aktuator dan plant, serta uji open loop dan closed loop. Sensor yang digunakan telah dilakukan karakteristik statis yang berupa akurasi, presisi, dan ketidakpastian diperluas pada sensor kekeruhan (turbidity) dan Total Dissolved Solids (TDS) yang masing-masing sebesar 96.55%, 99.05%, dan ± 86.723 NTU serta 98.69%, 97.53%, dan ± 86.569 ppm. Implementasi logika fuzzy dalam sistem kontrol ini terbukti efektif dalam mengendalikan kualitas air tambak. Hal tersebut dievaluasi menggunakan pengujian closed loop dengan ketidakpastian tipe A sebesar 536.689 NTU untuk turbidity serta 1904.269 ppm untuk Total Dissolved Solids. Parameter evaluasi didapatkan berupa rise time, peak time, undershoot, settling time, serta error steady state pada kekeruhan (turbidity) dan Total Dissolved Solids (TDS yang masing-masing sebesar 530.51 menit, 592.46 menit, 65.94 %, 614.76 menit, dan 3.37% serta 535.17 menit, 593.50 menit, 86.86 %, 639.00 menit, dan 1.88%. Sistem kontrol ini dapat menghemat penggunaan daya listrik untuk pompa filtering mencapai 43 Watt persatuan waktu (menit) penggunaan pompa. Pengujian penerapan IoT dievaluasi menggunakan 2 parameter yaitu packet loss dan delay. Nilai packet loss diperoleh sebesar 2.2% serta nilai delay sebesar 159.05 ms. Berdasarkan parameter QoS (Quality of Service) nilai tersebut menunjukkan performansi transmisi data beroperasi dengan baik.
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The success of Vannamei shrimp farming highly depends on the good quality of the aquatic environment. Deterioration in water quality can hinder growth and reduce shrimp quality. Important parameters that must be monitored include salinity, pH, dissolved oxygen, temperature, and water turbidity. Water turbidity, caused by suspended materials, can disrupt photosynthesis and increase total dissolved solids, negatively impacting shrimp health. Therefore, a real-time water quality monitoring and control system is required. This study aims to develop a real-time control and monitoring system for water turbidity and Total Dissolved Solids (TDS) in vannamei shrimp farming using Fuzzy Logic Control integrated with the Internet of Things (IoT). The methodology used is experimental, including sensor calibration testing, actuator and plant characterization, as well as open loop and closed loop testing. The sensors used have undergone static characterization in terms of accuracy, precision, and expanded uncertainty for turbidity sensors at 96.55%, 99.05%, and ±86.723 NTU, and for TDS sensors at 98.69%, 97.53%, and ±86.569 ppm. The implementation of fuzzy logic in this control system has proven effective in controlling pond water quality. This was evaluated using closed loop testing with Type A uncertainty of 536.689 NTU for turbidity and 1904.269 ppm for TDS. Evaluation parameters obtained include rise time, peak time, undershoot, settling time, and steady-state error for turbidity and TDS, which are 530.51 minutes, 592.46 minutes, 65.94%, 614.76 minutes, and 3.37%, and 535.17 minutes, 593.50 minutes, 86.86%, 639.00 minutes, and 1.88%, respectively. This control system can save electrical power usage for the filtering pump by up to 43 watts per unit time (minute) of pump usage. The application of IoT was evaluated using two parameters: packet loss and delay. The packet loss was 2.2% and the delay was 159.05 ms. Based on Quality of Service (QoS) parameters, these values indicate that the data transmission performance operates well.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Vannamei Shrimp, Fuzzy Logic Control, Internet of Things (IoT), Water Turbidity, Total Dissolved Solids (TDS), Udang Vaname, Kekeruhan Air |
| Subjects: | Q Science > QA Mathematics > QA9.64 Fuzzy logic Q Science > QA Mathematics > QA248_Fuzzy Sets Q Science > QC Physics > QC100.5 Measuring instruments (General) Q Science > QC Physics > QC271.8.C3 Calibration S Agriculture > SH Aquaculture. Fisheries. Angling T Technology > TJ Mechanical engineering and machinery > TJ213 Automatic control. T Technology > TJ Mechanical engineering and machinery > TJ223.A25 Actuators. |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Fabel Azzam Dedat |
| Date Deposited: | 19 Aug 2024 05:58 |
| Last Modified: | 19 Aug 2024 05:58 |
| URI: | http://repository.its.ac.id/id/eprint/109942 |
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