PEMANTAUAN PH KOLAM IKAN HIAS BERBASIS IOT MENGGUNAKAN METODE FUZZY LOGIC

Penulis

  • Kusdarnowo Hantoro
  • Asep Ramdhani Mahbub
  • Bagus Iqbal Satria

DOI:

https://doi.org/10.35968/jsi.v11i1.1139

Abstrak

From year to year, koi fish enthusiats certainly impact koi fish farmers to meet the increasing market demand. For now, the biggest problem for farmers is the difficulty of reducing mortality in koi fish seeds that are susceptible to disease because of the lack of monitoring of pH and water temperature. Besides that, time constraints are also a major factor for cultivators and hobbyists to monitor the pH and temperature of the koi fish pond water. The research aims to make a pool check that can be monitored through the website. This application is designed using an ESP32 microcontroller which is connected to a computer using the Arduino IDE application based on the internet of things (IoT). From this research, it is hoped that it will make it easier for koi fish cultivators and hobbyists to care for and monitor the pH and temperature of the koi pond water, so as to reduce mortality in fish seeds and use time because they can supervise when outside the home or wherever they are.  Keywords: monitoring pH, temperature, sensors, pools, IoT

Referensi

Abdul, Chindra, Zulfi, & Pareza Alam. (2022). Perancangan Sistem Kontrol Suhu dan Monitoring Serta Kelembapan Kumbung Jamur Tiram Menggunakan Mist Maker Berbasis IoT (Internet of Thing). Jurnal PROCESSOR, 17(2), 82–90. https://doi.org/10.33998/processor.2022.17.2.1231

Agale, R. R., & Gaikwad, D. P. (2018). Automated Irrigation and Crop Security System in Agriculture Using Internet of Things. 2017 International Conference on Computing, Communication, Control and Automation, ICCUBEA 2017, 1–5. https://doi.org/10.1109/ICCUBEA.2017.8463726

Muhammad, Z., Hafez, M. A. A. M., Leh, N. A. M., Yusoff, Z. M., & Hamid, S. A. (2020). Smart Agriculture Using Internet of Things with Raspberry Pi. Proceedings - 10th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2020, (August), 85–90. https://doi.org/10.1109/ICCSCE50387.2020.9204927

Pachiyannan, M. (2019). A Low-Cost Arduino based Automatic Irrigation System using Soil Moisture Sensor: Design and Analysis. 2nd International Conference on Signal Processing and Communication, ICSPC 2019 - Proceedings, 104–108.

Preuveneers, D., & Berbers, Y. (2014). Enabling self-learning in dynamic and open IoT environments. Procedia - Procedia Computer Science, 32, 207–214. https://doi.org/10.1016/j.procs.2014.05.416

Savla, D. V., Parab, A. N., Kekre, K. Y., Gala, J. P., Ramchandra, S., & Sonawane, P. A. (2020). Virtual Farmer: Real Time Crop Prediction and Automatic Irrigation System. 2020 11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020. https://doi.org/10.1109/ICCCNT49239.2020.9225686

Setiawan, I., Junaidi, J., Fadjryani, F., & Amaliah, F. R. (2022). Automatic Plant Watering System for Local Red Onion Palu using Arduino. Jurnal Online Informatika, 7(1), 28. https://doi.org/10.15575/join.v7i1.813

Singh, P., & Saikia, S. (2017). Arduino-based smart irrigation using water flow sensor, soil moisture sensor, temperature sensor and ESP8266 WiFi module. IEEE Region 10 Humanitarian Technology Conference 2016, R10-HTC 2016 - Proceedings. https://doi.org/10.1109/R10-HTC.2016.7906792

Wibisono, M. I., & Awaludin, M. (2017). Evaluasi Integrasi Sistem Enterprise Dengan Sap Ecc 6.0 Pada Perusahaan Fmcg. Prosiding SINTAK 2017, 237–243.

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Diterbitkan

2024-01-05

Cara Mengutip

Hantoro, K., Mahbub, A. R., & Satria, B. I. (2024). PEMANTAUAN PH KOLAM IKAN HIAS BERBASIS IOT MENGGUNAKAN METODE FUZZY LOGIC. JSI (Jurnal Sistem Informasi) Universitas Suryadarma, 11(1), 183–190. https://doi.org/10.35968/jsi.v11i1.1139

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