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Jun 16, 2025
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Jun 27, 2025
Published
Jul 16, 2025
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Abstract

Learning comfort is influenced by the environment, including temperature and humidity. This study validates the temperature and humidity monitoring device (DHT 22) in the dashboard system of the Department of Electrical Engineering. The results show high accuracy, with 98.96% for temperature and 98.93% for humidity, and an average error rate of 1.04%. Validation was conducted at BMKG Tanjungpinang for four days, with data recorded every minute for 24 hours. User satisfaction evaluation using the System Usability Scale (SUS) yielded an average score of 57, categorized as "Not Acceptable." Nevertheless, users still provided relatively positive feedback. These findings emphasize the need for improvements in dashboard design, user experience, and additional training. Recommendations include utilizing third-party platforms and evaluating the hardware and interface to enhance system usability.

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DHT22 ESP32 Dashboard Monitoring

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How to Cite
1.
Hasbi MHSA, Hollanda Arief Kusuma, Marisha Pertiwi, Tonny Suhendra, Gilang Satria Wahyu Dewantara. A Smart Web Application for Real-Time Indoor Temperature and Humidity Monitoring. EKSAKTA [Internet]. 2025 Jul. 16 [cited 2025 Jul. 19];26(03):288-301. Available from: https://eksakta.ppj.unp.ac.id/index.php/eksakta/article/view/606

References

  1. [1] Liu, C., Zhang, Y., Sun, L., Gao, W., Jing, X., & Ye, W. (2021). Influence of indoor air temperature and relative humidity on learning performance of undergraduates. Case Studies in Thermal Engineering, 28, 101458.
  2. [2] Arroyo, Y. P. V., Peñabaena-Niebles, R., & Correa, C. B. (2023). Influence of environmental conditions on students' learning processes: A systematic review. Building and Environment, 231, 110051.
  3. [3] Rahmadani, D. P. P., Pradharona, Q. I., Kirom, M. R., Suhendi, A., & Ajiwiguna, T. A. (2023, December). Design and Development of IoT-based Temperature and Humidity Monitoring System for Thermal Comfort Evaluation in Classrooms. In Journal of Physics: Conference Series (Vol. 2673, No. 1, p. 012011). IOP Publishing.
  4. [4] Adilline, P. S. (2021). Evaluasi kenyamanan termal ruang kuliah IKIP PGRI Wates Kulon Progo DIY. Inersia: Jurnal Teknik Sipil dan Arsitektur, 17(2), 165-174.
  5. [5] Wardani, I. K., Nugroho, A. C., Sabekti, M., Murtiyasa, B., & Setyaningsih, N. (2024). Pengaruh lingkungan belajar terhadap hasil belajar pembelajaran matematika SDN Nglorog 3. Jurnal Riset dan Inovasi Pembelajaran, 4(1), 534-546.
  6. [6] Chaerul, R. A., Putra, W. H. N., & Hanggara, B. T. (2021). Utilizing of the Trello API Within the Development of a Monitoring Information System Recording of Project Activities Using a Website-Based Kanban System (Case Study: Electrical Project of PT. XYZ). Journal of Information Technology and Computer Science, 6(2), 146-157.
  7. [7] Rusdianto, A. S., Khasanah, L. M., Suryadharma, B., Wibowo, Y., & Mahardika, N. S. (2022). Pengembangan Sistem Monitoring Suhu dan Kelembaban di Ruang Fermentasi Tembakau Bawah Naungan (TBN) Berbasis Internet of Things (IoT). JOFE: Journal of Food Engineering, 1(2), 90-100.
  8. [8] Silalahi, F. D., Dian, J., & Setiawan, N. D. (2021). Implementasi internet of things (IoT) dalam monitoring suhu dan kelembaban ruang produksi obat non steril menggunakan Arduino berbasis web. JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer), 13(2), 62-68.
  9. [9] Suleman, Q., & Hussain, I. (2014). Effects of classroom physical environment on the academic achievement scores of secondary school students in Kohat Division, Pakistan. International Journal of Learning & Development, 4(1), 71-82.
  10. [10] Saidi, S. J., Matic, S., Gasser, O., Smaragdakis, G., & Feldmann, A. (2022, October). Deep dive into the IoT backend ecosystem. In Proceedings of the 22nd ACM internet measurement conference (pp. 488-503).
  11. [11] Adnan, A. D. (2022). Pengembangan Media Pembelajaran Google Spreadsheet di Dayah Darul Ihsan Aceh Besar. Tadabbur: Jurnal Peradaban Islam, 4(1), 129-137.
  12. [12] Bahri, S., & Nurhalifah, S. (2021). Pemanfaatan Google Spreadsheet Sebagai Media Penyimpanan Data Masyarakat Rw. 04 Kp. Cilayung. Proceedings UIN Sunan Gunung Djati Bandung, 1(48), 1-7.
  13. [13] Handayani, I., Kusumahati, H., & Badriah, A. N. (2017). Pemanfaatan Google Spreadsheet Sebagai Media Pembuatan Dashboard pada Official Site iFacility di Perguruan Tinggi. Sisfotenika, 7(2), 177-186.
  14. [14] Sunusi, N. (2023). Bias of automatic weather parameter measurement in monsoon area, a case study in Makassar Coast. AIMS Environmental Science, 10(1).
  15. [15] Sharman, J., & Kosmala, W. (2021). High-quality medical research requires that equipment has been validated for accuracy.
  16. [16] Fachreza, M., Roza, E., & Mujirudin, M. (2016). Pemantauan Suhu Pendingin Ruangan Menggunakan Mikrokontroller. Jurnal Uhamka. Jakarta.
  17. [17] Asrori, M., Rezika, W. Y., Salim, A. T. A., Indarto, B., & Nudiansyah, R. T. (2022). Kalibrasi Alat Ukur Temperatur dan Kelembapan Kereta Rel Diesel Elektrik. Jurnal Teknik Terapan, 1(2), 36-41.
  18. [18] Jumaev, O. A., & Ismoilov, M. T. (2023). Filtering errors in primary sensor signals. In E3S Web of Conferences (Vol. 417, p. 05008). EDP Sciences.
  19. [19] Nazarudin, J., Gusriani, N., Parmikanti, K., & Susanti, S. (2023). Application of Threshold Generalized Autoregressive Conditional Heteroscedastic (TGARCH) Model in Forecasting the LQ45 Stock Price Return. Eksakta: Berkala Ilmiah Bidang MIPA, 24(02), 271-284.
  20. [20] Fatmawati, F., Sunartaty, R., & Meutia, F. (2023). Validasi Metode Pengujian Kadar Air Dengan Analisis Perbandingan Akurasi Dan Presisi. Serambi J.
  21. [21] Nafis, M. A. N., Susilaningrum, D., Ulama, B., & Kusrini, D. E. (2024). Assessing the Impact of Household Socioeconomic Factors on Clean and Healthy Living Behaviors with Binary Logistic Regression: A Study in Probolinggo Regency. EKSAKTA: Berkala Ilmiah Bidang MIPA, 25(04), 436-447.
  22. [22] Novianti, D. (2024). Redesign User Interface Website Universitas Bina Sarana Informatika Menggunakan Metode Design Thinking Dan System Usability Scale (SUS). Jurnal Informatika dan Teknik Elektro Terapan, 12(3).
  23. [23] Lewis, J. R., & Sauro, J. (2021). Usability and user experience: Design and evaluation. Handbook of human factors and ergonomics, 972-1015.
  24. [24] Ulfa, R. (2021). Mengukur kepuasan pengguna sistem informasi bimbingan konseling (e-bk) menggunakan system usability scale (sus) di smk negeri 1 banda aceh (Doctoral dissertation, UIN Ar-raniry).
  25. [25] Purwani, F. (2024). Usability testing analysis on professional social media using the System Usability Scale (SUS) method. JURNAL PERANGKAT LUNAK, 6(3), 392-399.
  26. [26] Chen, S., Markopoulos, P., & Hu, J. (2024, July). Sustory: Usability evaluation of conversational interfaces for children with a narrative on a game board. In Proceedings of the 6th ACM Conference on Conversational User Interfaces (pp. 1-6).
  27. [27] Wardani, I. K., Ichniarsyah, A. N., Telaumbanua, M., Priyonggo, B., Fil’Aini, R., Mufidah, Z., & Dewangga, D. A. (2023, September). The feasibility study: Accuracy and precision of DHT 22 in measuring the temperature and humidity in the greenhouse. In IOP Conference Series: Earth and Environmental Science (Vol. 1230, No. 1, p. 012146). IOP Publishing.
  28. [28] Desnanjaya, I. G. M. N., Ariana, A. G. B., Nugraha, I. M. A., Wiguna, I. K. A. G., & Sumaharja, I. M. U. (2022). Room monitoring uses ESP-12E based DHT22 and BH1750 sensors. Journal of Robotics and Control (JRC), 3(2), 205-211.
  29. [29] Silawarawet, K., Kaewchukul, P., & Saadprai, S. (2025). Heat Stroke Warning System Prototype for Athletes: A Pilot Study. Sensors, 25(2), 294.
  30. [30] Maier, A., Sharp, A., & Vagapov, Y. (2017). Comparative analysis and practical implementation of the ESP32 microcontroller module for the internet of things. In 2017 Internet Technologies and Applications (ITA) (pp. 143-148). IEEE.
  31. [31] Pratama, R. A., Fitriani, R. Z., & Kuan, Y. D. (2023). Temperature Data Acquisition System for Showcase Refrigerator Based on ESP32 and Online Remote Display. Sensors and Materials, 35(11), 3687-3696.
  32. [32] Oladipo, I. O., & Ajewole, P. O. (2024). A Smart Irrigation Water Application System Based on Arduino Platform. Asian Journal of Agricultural and Horticultural Research, 11(2), 132-140.
  33. [33] Audia, W., Yulkifli, Y., Mairizwan, M., & Rinaldi, A. (2022). Automatic Transfer Switch System Design on Solar Cell–Grid Hybrid Based on Android Application. EKSAKTA: Berkala Ilmiah Bidang MIPA, 23(04), 266-283.
  34. [34] Syukri, D., Septina, D. D., Alfiansyah, R., Tarumiyo, A. A., Azzahra, Y., & Saputra, D. A. (2025). Pre-Study on the Development of Internet of Things-Based Prototype Data Logger for Measuring Heat Sufficiency Number. EKSAKTA: Berkala Ilmiah Bidang MIPA, 26(02), 212-227.
  35. [35] Hidayat, D., & Sari, I. (2021). Monitoring suhu dan kelembaban berbasis Internet of Things (IoT). Jurnal Teknologi dan Ilmu Komputer Prima (JUTIKOMP), 4(1), 525-530.
  36. [36] Hartono, A., Rofiq, A., Prakosa, J. A., Ramli, R., & Syafrijon, S. (2023). Design and Development a Smart Control System for Temperature and Turbidity of Bio Floc Fish Ponds. EKSAKTA: Berkala Ilmiah Bidang MIPA, 24(02), 133-143.
  37. [37] Pebralia, J., Akhsan, H., & Amri, I. (2024). Implementasi Internet of Things (Iot) Dalam Monitoring Kualitas Udara Pada Ruang Terbuka. Jurnal Kumparan Fisika, 7(1), 1-8.
  38. [38] Maulana, R. F., Ramadhan, M. A., Maharani, W., & Maulana, M. I. (2023). Rancang Bangun Sistem Monitoring Suhu dan Kelembapan Berbasis IOT Studi Kasus Ruang Server ITTelkom Surabaya. Indonesian Journal of Multidisciplinary on Social and Technology, 1(3), 224-231.
  39. [39] Syafei, N. S. (2019). Events of corrosion phenomena on carbon steel pipes in environment of sea water and ammonia solutions due to the presence of sweet gas. Eksakta: Berkala Ilmiah Bidang MIPA (E-ISSN: 2549-7464), 20(1), 86-99.
  40. [40] Jufri, Q. S. (2024). Computational Analysis of Iron Corrosion Inhibition by Compounds in Rimbang Leaf Extract (Solanum torvum) Using the DFT Method. EKSAKTA: Berkala Ilmiah Bidang MIPA, 25(04), 424-435.
  41. [41] Syafei, N. S., Hidayat, D., Rohadi, N., Joebaedi, K., & Supriyana, E. (2021). Reliability Study of Oil and Gas Pipelines Using the Normal Distribution Method. Eksakta: Berkala Ilmiah Bidang MIPA (E-ISSN: 2549-7464), 22(1), 73-81.
  42. [42] Intyanto, G. W., Ranggianto, N. A., & Octaviani, V. (2021). Pengukuran Usability pada Website Kampus Akademi Komunitas Negeri Pacitan Menggunakan System Usability Scale (SUS). Walisongo Journal of Information Technology, 3(2), 59-68.
  43. [43] Kurniawan, E., Nofriadi, N., & Nata, A. (2022). Penerapan System Usability Scale (Sus) Dalam Pengukuran Kebergunaan Website Program Studi Di Stmik Royal. Journal of Science and Social Research, 5(1), 43-49.