Arduino Promini-based Helmet Temperature Measuring Helmet with MLX90614-DCI Sensor

Helm Pengukur Suhu Badan Berbasis Arduino Promini Dengan Sensor MLX90614-DCI

  • wahyu ja’far siddiq
  • indah sulistiyowati
Keywords: Arduino Promini; Covid19; MLX90614-DCI; Infrared Thermometer


The Covid-19 pandemic that is currently spreading in Indonesia has claimed thousands of lives. Coronavirus Disease is characterized by the main clinical symptoms of fever >38 °C, coughing, to shortness of breath. In preventing its spread, the government conducts early detection by examining the main symptoms in the form of a fever and enforcing health protocols on each line. Therefore, we need an appropriate innovation that can make it easier for officers/guards to check human body temperature, especially in crowded places such as at airports, malls, or on the highway. Currently, body temperature measurement equipment is widely used, which allegedly made many errors in detecting it. Therefore, an innovative helmet was created that can be used by guards, security and even the police to detect body temperature based on the Arduino Pro Mini with the MLX90614-DCI sensor and the output is the real body temperature displayed on the LED screen. When the body temperature reads more than 38 °C, the helmet will turn on a buzzer and an LED to show that the target measurement is in a fever condition, and it is recommended going to the health center for further examination. This tool has been tested, and the sensor readings have an accuracy at a distance of 100 cm with several participants and the sensor readings are compared with the reading values from the alpha one thermometer and the measurement results have an accuracy level of 95%.


[1] Yuliana, “Corona virus diseases (Covid -19); Sebuah tinjauan literatur,” Wellness Heal. Mag., vol. 2, no. 1, pp. 187–192, 2020, [Online].Available:
[2] M. A. Indah Sulistiyowati, Favian Al Hanif, Muhammad Nasar, Muhammad Priyono Tri Sulistyanto, “jurnal aasec 2020,” Optim. Short Messag. Media Arduino Bluetooth-Based Blank Spot Areas, vol. 1, no. 1, pp. 1–6, 2020.
[3] M. Safitri and G. A. Dinata, “Non-Contact Thermometer Berbasis Infra Merah,” Simetris J. Tek. Mesin, Elektro dan Ilmu Komput., vol. 10, no. 1, pp. 21–26, 2019, doi: 10.24176/simet.v10i1.2647.
[4] Y. A. Kurnia Utama, “Perbandingan Kualitas Antar Sensor Suhu dengan Menggunakan Arduino Pro Mini,” e- NARODROID, vol. 2, no. 2, 2016, doi: 10.31090/narodroid.v2i2.210.
[5] R. S. Veronika Simbar and A. Syahrin, “Prototype Sistem Monitoring Temperatur Menggunakan Arduino Uno R3 Dengan Komunikasi Wireless,” J. Tek. Mesin, vol. 5, no. 4, p. 48, 2017, doi: 10.22441/jtm.v5i4.1225.
[6] A. Windanata, “Notifikasi smartphone melalui smartwatch,” pp. 1–10.
[7] T. Suwandi, S. Pengajar, B. Periodonti, F. Kedokteran, and G. Universitas, “Diode laser in periodontal treatment,” vol. 1, no. 2, pp. 46–51, 2019.
[8] E. P. Saptorini, P. Studi, L. Pesawat, F. Teknik, U. N. Bandung, and E. Detector, “PEMBUATAN SIMULASI PENDETEKSI GETARAN,” vol. 8, no. 3, pp. 51–61, 2020.