Monitoring Ketinggian Air Sungai menggunakan Regresi Linear Sederhana Berbasis Internet of Things (IoT) di Sungai Gung Desa Kendalserut

Firman Ardy Prasetyo; Fahmy Ferdian Dalimarta; Sonhaji Sonhaji

doi:10.59061/jentik.v4i3.1519

Authors

Firman Ardy Prasetyo Universitas Bhamada Slawi
Fahmy Ferdian Dalimarta Universitas Bhamada Slawi
Sonhaji Sonhaji Universitas Bhamada Slawi

DOI:

https://doi.org/10.59061/jentik.v4i3.1519

Keywords:

Internet of Things (IoT), Simple Linear Regression, Ultrasonic Sensor, Water Level Monitoring, WhatsApp

Abstract

Monitoring the water level of the Gung River in Kendalserut Village is still conducted manually using wooden poles, making the process less effective, requiring human involvement, and potentially producing inaccurate data. This condition makes it difficult for the community to obtain timely information, particularly when increasing discharge may cause flooding and damage agricultural land. This study aims to design and implement an Internet of Things (IoT)-based water level monitoring system using Simple Linear Regression to analyze the relationship between water level and river discharge. A quantitative approach was employed through observation, interviews, documentation, and data collection using an ultrasonic sensor. The system was developed with an ESP32 microcontroller with an ultrasonic sensor to measure water levels. Data were transmitted via the internet and processed using Simple Linear Regression, with water level as the independent variable and river discharge as the dependent variable. Monitoring results were delivered through WhatsApp notifications. The results show that the system can automatically monitor river water levels in real time and provide more accurate discharge information. The system is expected to support effective flood risk mitigation.

References

Alif, Y., Utama, K., Kartika, U. W., & Surabaya, K. (2021). Penggunaan neuro fuzzy pada sistem monitoring. Jurnal Ilmiah Komputer, 5(1). https://doi.org/10.59697/jik.v5i1.316

Ardiansah, I., Putri, S. H., Rubiyanti, Y., & Pujianto, T. (2024). Aplikasi prediksi debit aliran bulanan berbasis web menggunakan model regresi linier. Jurnal, 14(3), 564–572. https://doi.org/10.37859/jf.v14i3.7950

Basuki, A., Saputra, F. D., Priantono, D., & Purwahyudi, B. (2025). Monitoring ketinggian air sungai berbasis Internet of Things (IoT). [Nama jurnal tidak tersedia], 3(1), 1–9. https://doi.org/10.54732/i.v3i1.1220

Bariah Rambe, K., Harahap, N. F., & A. A. (2025). Pemanfaatan regresi linier sederhana dalam penelitian pendidikan dasar: Kajian literatur sistematis. Jurnal Ilmiah Pendidikan Dasar, 10(4).

Analisis kinerja algoritma CNN dan LSTM untuk memprediksi tinggi muka air di DKI Jakarta, Indonesia. (2022).

Analisis jumlah dana desa menggunakan metode regresi linear sederhana. (n.d.). Jurnal Matematika & Sains, 1(2), 93–98.

Implementasi Internet of Things (IoT) untuk sistem monitoring ketinggian air pada bendungan aliran Sungai Krueng Lingka. (2026).

Penerapan regresi linier pada model alat pemantauan suhu dan kelembaban pada ruangan berbasis Internet of Things (IoT). (2024). [Tugas akhir].

Perancangan deteksi dini banjir berbasis IoT dan water level dengan notifikasi Blynk dan alarm. (2020). [Nama jurnal tidak tersedia], 6–13.

Prototype sistem pemantauan dan prediksi ketinggian air sungai dengan algoritma regresi linear sederhana. (2024).

Rancang bangun prototype sistem monitoring ketinggian air untuk pendeteksian banjir. (2025). [Skripsi].

Rancang bangun sistem monitoring level air bendungan untuk pengendalian banjir. (2019). SMATIKA, 9(1), 39–44. https://doi.org/10.32664/smatika.v9i01.247

Rancang bangun sistem monitoring ketinggian air sungai berbasis Internet of Things (IoT). (2023). JTEIN, 4(1), 235–244. https://doi.org/10.24036/jtein.v4i1.387

System usability evaluation of the digital automatic weather system at. (2025). [Nama jurnal tidak tersedia], 9(2), 107–113.

Telemeteri level untuk tangki penampungan pada proses penjernihan air sungai berbasis IoT. (2017).

Islam, P., Rusli, A., Fadhil, M., Ishaq, M., & Hidayatullah, R. (2025). Strategi pengumpulan dan pengelolaan data dalam penelitian pendidikan: Kajian teoretis dan praktis. Ihsan: Jurnal Pendidikan Islam, 3(3), 573–581. https://doi.org/10.61104/ihsan.v3i3.1045

Jumali, A., Desa, D., Metode, M., & Sederhana, R. L. (n.d.). Analisis jumlah dana desa menggunakan metode regresi linear sederhana. Jurnal Matematika & Sains, 1(2), 93–98.

Lestari, V., Lubis, R. A., & Tbn, R. H. (2026). Analisis uji regresi linear sederhana dalam penelitian pendidikan. [Nama jurnal tidak tersedia], 1(3), 785–797.

Lucky, P., Irawan, T., & Shienjaya, S. H. (2019). Rancang bangun sistem monitoring level air bendungan untuk pengendalian banjir. SMATIKA, 9(1), 39–44. https://doi.org/10.32664/smatika.v9i01.247

Rivaldi, A., Feriawan, F. U., & Nur, M. (n.d.). Metode pengumpulan data melalui wawancara.

Rustika, I., Margana, D. B., & Putro, T. Y. (n.d.). Sistem pengukuran dan pemantauan ketinggian dan debit air berbasis mikrokontroler untuk mendeteksi potensi banjir, 57–64.

Sulaiman, O. K. (2026). Implementasi Internet of Things (IoT) untuk sistem monitoring ketinggian air pada bendungan aliran Sungai Krueng Lingka.

Uswelly, H. R., Pulungan, A. B., & Candra, O. (2023). Rancang bangun sistem monitoring ketinggian air sungai berbasis Internet of Things (IoT). JTEIN, 4(1), 235–244. https://doi.org/10.24036/jtein.v4i1.387

Yusuf, M. A., Trisnawati, H., Abraham, A., & Rukmana, H. (2024). Analisis regresi linier sederhana dan berganda beserta penerapannya. [Nama jurnal tidak tersedia], 6(2), 13331–13344.