Vol. 3 No. 1 (2026) Articles
Open Access

Sistem Sistem Iot Untuk Pemantauan Suhu Dan Kelembaban Ruangan Secara Real-Time Sebagai Indikator Kualitas Udara

Melinda Novita Sari
Universitas K.H A. Wahab Hasbullah
Sujono
Universitas K.H A. Wahab Hasbullah
Published: March 28, 2026 Pages: 31-41
Original Full-Text Article
Download published version for reading and archiving
Abstract

Indoor air quality is an important factor affecting human comfort, health, and productivity, especially in enclosed spaces with high usage intensity, where temperature and humidity serve as primary indicators of environmental conditions. This study aims to design and implement a real-time Internet of Things (IoT)-based temperature and humidity monitoring system using a DHT11 sensor and an ESP32 microcontroller integrated with the ThingSpeak cloud platform. The system is designed to collect environmental data, transmit it via a Wi-Fi network, and display the monitoring results in graphical form through a web dashboard. The research method includes hardware and software design, system implementation, and performance testing under normal indoor environmental conditions. The testing results indicate that the system is capable of displaying temperature and humidity data in real time with stable readings and deviations within the sensor’s tolerance limits, allowing consistent monitoring without significant interruptions. Practically, the system has potential applications in classrooms, offices, laboratories, and public facilities as a remote environmental monitoring solution. Furthermore, the system can be further developed by utilizing sensors with higher accuracy and incorporating additional air quality parameters to enhance its functionality and reliability.

Article Metrics & Downloads Graph
Monthly Download Trends:
Author Biographies
Melinda Novita Sari Universitas K.H A. Wahab Hasbullah

Program Studi Informatika Fakultas Teknologi Informasi, Universitas K.H A. Wahab Hasbullah, Kabupaten Jombang, Provinsi awa Timur, Indonesia.

Sujono Universitas K.H A. Wahab Hasbullah

Program Studi Informatika Fakultas Teknologi Informasi, Universitas K.H A. Wahab Hasbullah, Kabupaten Jombang, Provinsi awa Timur, Indonesia.

How to Cite
Sari, M. N., & Sujono. (2026). Sistem Sistem Iot Untuk Pemantauan Suhu Dan Kelembaban Ruangan Secara Real-Time Sebagai Indikator Kualitas Udara. Jurnal Ilmu Komputer Dan Teknologi Informasi, 3(1), 31-41. https://doi.org/10.63447/jikti.v3i1.1828
License

Creative Commons Attribution 4.0 International License (CC BY 4.0)

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License .

  • Share: You are free to copy, distribute, and transmit the work in any medium or format.
  • Adapt: You are free to remix, transform, and build upon the work for any purpose, even commercially.
  • Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
Copyright & Retention: Authors retain copyright without restrictions and grant this journal the right of first publication under an open-access model. The journal retains non-exclusive publishing rights for archiving, indexing, and scholarly dissemination.

References
Total: 19 References
  1. Abdel-Basset, M., Mohamed, R., & Smarandache, F. (2020). A smart IoT-based building monitoring system for indoor air quality management. IEEE Access, 8, 135907–135920. https://doi.org/10.1109/ACCESS.2020.3011455
  2. Abdulmalek, S., Nasir, A., Jabbar, W. A., Almuhaya, M. A. M., Bairagi, A. K., Khan, M. A.-M., & Kee, S.-H. (2022). IoT-based healthcare-monitoring system towards improving quality of life: A review. Healthcare, 10(10), 1993. https://doi.org/10.3390/healthcare10101993
  3. Adafruit Industries. (2022). DHT11 temperature & humidity sensor datasheet. https://learn.adafruit.com
  4. Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2010). Wireless sensor networks: A survey. Computer Networks, 38(4), 393–422.
  5. Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of Things: A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials, 17(4), 2347–2376.
  1. Ashton, K. (2009). That “Internet of Things” thing. RFID Journal, 22(7), 97–114.
  2. Dutta, P., Aoki, P. M., Kumar, N., Mainwaring, A., Myers, C., Willett, W., & Woodruff, A. (2019). Common sense: Participatory urban sensing using a network of handheld air quality monitors. Atmospheric Environment, 223, 117–126. https://doi.org/10.1016/j.atmosenv.2019.117126
  3. Espressif Systems. (2023). ESP32 series datasheet. https://www.espressif.com
  4. Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660.
  5. IEEE Standards Association. (2018). IEEE standard for Internet of Things (IoT) architecture framework. IEEE.
  6. Kumar, P., Morawska, L., Martani, C., Biskos, G., Neophytou, M., Sabatino, S., & Britter, R. (2015). The rise of low-cost sensing for managing air pollution in cities. Environment International, 75, 199–205. https://doi.org/10.1016/j.envint.2014.11.019
  7. Kurniawan, A., & Sari, P. (2019). Monitoring suhu dan kelembaban ruangan secara real-time berbasis IoT. Jurnal Elektronika dan Instrumentasi, 7(3), 155–162.
  8. Li, X., Peng, L., Hu, Y., Shao, J., & Chi, T. (2021). Deep learning architecture for air quality predictions. Environmental Science and Pollution Research, 28, 5000–5012. https://doi.org/10.1007/s11356-020-11372-0
  9. MathWorks. (2024). ThingSpeak™ IoT analytics platform. https://thingspeak.com
  10. Patel, K. K., & Patel, S. M. (2016). Internet of Things-IOT: Definition, characteristics, architecture, enabling technologies, application & future challenges. International Journal of Engineering Science and Computing, 6(5), 6122–6131.
  11. Pratama, R., & Hidayat, T. (2021). Implementasi sistem monitoring lingkungan menggunakan ESP32 dan sensor DHT11 berbasis web. Jurnal Sistem Informasi dan Teknologi, 5(1), 45–52.
  12. Saini, J., Dutta, M., & Marques, G. (2021). Indoor air quality monitoring systems based on Internet of Things: A systematic review. Sensors, 21(14), 4942. https://doi.org/10.3390/s21144942
  13. Setiawan, D., & Nugroho, A. (2020). Perancangan sistem monitoring suhu dan kelembaban berbasis Internet of Things. Jurnal Teknologi Informasi dan Komputer, 8(2), 101–109.
  14. Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014). Internet of Things for smart cities. IEEE Internet of Things Journal, 1(1), 22–32.