Sistem Monitoring Kualitas Air dan Pakan Otomatis Pada Akuarium Ikan Mas Koki Terintegrasi IoT

Dewi Lestari; Elvan Yuniarti; Yayang Dinda Sari

doi:10.47065/bees.v4i3.4624

Dewi Lestari * Universitas Trilogi, Jakarta, Indonesia
Elvan Yuniarti Universitas Islam Negeri Syarif Hidayatullah, Banten, Indonesia
Yayang Dinda Sari Universitas Islam Negeri Syarif Hidayatullah, Banten, Indonesia

(*) Corresponding Author

DOI: https://doi.org/10.47065/bees.v4i3.4624

Keywords: Blynk Application; RTC; DS18B20 Sensor; pH Sensor; Kata TDS Sensor

Abstract

Water is a living medium for goldfish, which greatly influences their lives. Water quality as a living medium for fish greatly influences the growth and development of goldfish; therefore, water quality must meet the needs of goldfish. Several water quality parameters that greatly influence fish life are temperature, degree of acidity (pH), and solid substances dissolved in water (TDS). The aim of this research is to design a monitoring system capable of measuring temperature, degree of acidity (pH), and solid substances dissolved in water based on the Internet of Things. This tool is used for an Internet of Things-based water quality monitoring system in goldfish aquariums, where the results obtained will be sent via smartphone to the Blynk application. And it can also provide food automatically and provide notifications if the water becomes cloudy. This tool is designed using an Arduino Uno, a Wemos D1 R2 controller, and sensors used to measure each parameter, namely the DS18B20 sensor, pH sensor, and TDS sensor. Then the feeder uses a servo to open the feed and an RTC as a timer. The results of this research conclude that the calibration results for the DS18B20 sensor have an average accuracy rate of 99% with a sensor error percentage of 1%, the pH sensor has an accuracy rate of 98.7% with an error percentage of 1.3%, and the TDS sensor has an accuracy rate of 94.59% with an error percentage of 5.41%.

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References

A. Ravidhia, P. G. S. Julyantoro, I. K. W. Negara, and Sukarman, “Penambahan Tepung Udang Rebon (Krill Meal) Untuk Meningkatkan Pertumbuhan Ikan Maskoki (Carassius auratus),” J. Curr. Trends Aquat. Sci., vol. 2, no. 1, pp. 54–61, 2019, [Online]. Available: https://ojs.unud.ac.id/index.php/CTAS/article/view/47523

M. S. and W. Setyogati, Pembenihan Ikan Mas Koki. Yogyakarta: Deepublish, 2020.

R. Pramana, “Perancangan Sistem Kontrol dan Monitoring Kualitas Air dan Suhu Air Pada Kolam Budidaya Ikan,” J. Sustain. J. Has. Penelit. dan Ind. Terap., vol. 7, no. 1, pp. 13–23, 2018, doi: 10.31629/sustainable.v7i1.435.

F. Chuzaini and Dzulkiflih, “IoT Monitoring Kualitas Air dengan Menggunakan Sensor Suhu , pH , dan Total Dissolved Solids ( TDS ),” J. Inov. Fis. Indones., vol. 11, no. 3, pp. 46–56, 2022.

A. Saputra and M. Rahmadani, “Alat Monitoring dan Pemberian Pakan Ikan Otomatis berbasis Arduino Uno R3,” Snistek 4, pp. 37–42, 2022.

B. P. C. Bareta, A. Harijanto, and M. Maryani, “RANCANG BANGUN ALAT UKUR SISTEM MONITORING pH, TEMPERATUR, DAN KELEMBAPAN AKUARIUM IKAN HIAS BERBASIS ARDUINO UNO,” J. Pembelajaran Fis., vol. 10, no. 1, p. 1, 2021, doi: 10.19184/jpf.v10i1.21900.

and E. S. S. Wasista, Setiawardhana, D. ayu Saraswati, Aplikasi Internet of Things (IoT) dengan Arduino dan Android, Membangun Smart Home dan Smart Robot Berbasis Arduino dan Android. Yogyakarta: Deepublish, 2019.

. R., E. Yuniarti, and D. Lestari, “Design and Build Underwater Robot Control System Based on PID (Proportional Integral Derivative)),” Al-Fiziya J. Mater. Sci. Geophys. Instrum. Theor. Phys., vol. 4, no. 2, pp. 115–123, 2022, doi: 10.15408/fiziya.v4i2.23173.

D. Lestari and Y. Yaddarabullah, “Perancangan Alat Pembacaan Meter Air PDAM Menggunakan Arduino Uno,” Al-Fiziya J. Mater. Sci. Geophys. Instrum. Theor. Phys., vol. 1, no. 2, pp. 36–41, 2019, doi: 10.15408/fiziya.v1i2.9031.

J. Karangan, B. Sugeng, and S. Sulardi, “UJI KEASAMAN AIR DENGAN ALAT SENSOR pH DI STT MIGAS BALIKPAPAN,” J. Kacapuri J. Keilmuan Tek. Sipil, vol. 2, no. 1, p. 65, 2019, doi: 10.31602/jk.v2i1.2065.

R. I. S. Purba, “Rancang Bangun Alat Ukur Kualitas Air Minum Dengan Parameter Ph, Suhu, Tingkat Kekeruhan, Dan Jumlah Padatan Terlarut,” Univ. Sumatera Utara, vol. 14, pp. 49–62, 2020.

S. Indriyanto, F. T. Syifa, and H. A. Permana, “Sistem Monitoring Suhu Air pada Kolam Benih Ikan Koi Berbasis Internet of Things,” TELKA - Telekomun. Elektron. Komputasi dan Kontrol, vol. 6, no. 1, pp. 10–19, 2020, doi: 10.15575/telka.v6n1.10-19.

S. A. Akbar, D. B. Kalbuadi, and A. Yudhana, “Online Monitoring Kualitas Air Waduk Berbasis Thingspeak,” Transmisi, vol. 21, no. 4, pp. 109–115, 2019, doi: 10.14710/transmisi.21.4.109-115.

R. Surya et al., “Monitoring Penggunaan Listrik Di Ruangan Berbasis Internet of Things ( IoT ),” vol. 10, no. 5, pp. 4231–4236, 2023.

J. S. Saputra and S. Siswanto, “Prototype Sistem Monitoring Suhu Dan Kelembaban Pada Kandang Ayam Broiler Berbasis Internet of Things,” PROSISKO J. Pengemb. Ris. dan Obs. Sist. Komput., vol. 7, no. 1, 2020, doi: 10.30656/prosisko.v7i1.2132.

J. Andika, E. Permana, and S. Attamimi, “Perancangan Sistem Otomatisasi dan Monitoring Perangkat Perawatan Tanaman Hias Berbasis Internet of Things,” J. Teknol. Elektro, vol. 13, no. 2, p. 100, 2022, doi: 10.22441/jte.2022.v13i2.007.

Handi, H. Fitriyah, and G. E. Setyawan, “Sistem Pemantauan Menggunakan Blynk dan Pengendalian Penyiraman Tanaman Jamur Dengan Metode Logika Fuzzy,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 3, no. 4, pp. 3258–3265, 2019.

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