Nine Channel Temperature Data Logger in Measuring the Effectiveness of the Sterilization Process of Medical Instruments with Dry Sterilization

Nurul Al Istigho  Farola; Her Gumiwang; Sumber Sumber

doi:10.35882/ijahst.v1i1.5

Authors

Nurul Al Istigho Farola Department of Medical Electronics Engineering Technology, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia
Her Gumiwang Department of Medical Electronics Engineering Technology, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia https://orcid.org/0000-0002-8267-5057
Sumber Sumber Department of Medical Electronics Engineering Technology, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia https://orcid.org/0000-0003-1877-6280

DOI:

https://doi.org/10.35882/ijahst.v1i1.5

Keywords:

non-contact, body themperature, voice, wireless

Abstract

Measuring the temperature on the dry sterilizer is very necessary because the temperature inside the dry sterilizer has the possibility that the temperature is not the same as the temperature that has been set and is displayed on the display. If the temperature in the dry sterilizer does not match the standard setting temperature for the sterilization process, then the sterilization process is said to be imperfect The purpose of this study is to record and monitor whether the distributed temperature in the sterilization chamber corresponds to the setting temperature. The workings of the temperature data logger tool is that the type K thermocouple temperature sensor will detect the temperature which then enters the analog signal conditioning circuit which then enters the ATMegga 2560 which has been given a program and processed in such a way, then the temperature will be displayed on a 4x20 character LCD. Temperature measurement data will be saved to the SD Card every 10 seconds in the form of a TXT file. This research has been used to record 2 sterilizers and compared with the Madgetech OctTemp2000 data logger. Based on data measurements and comparisons, the average error was obtained at a temperature of 50ºC with the smallest error value of 0.7% and the largest value of 3.9%. At a temperature of 100ºC, the smallest error value is 1.6% and the largest is 10.5%. Then at a temperature of 120ºC the smallest error value is 0.0% and the largest is 8.5%. This research can be used to help analyze the distribution of temperature in a room. With these measurement results, it can be said that this study still has afairly high error value at several measurement points.

Downloads

Download data is not yet available.

References

M. Virgo, Suwito, & Tasripan, “Perancangan Data Logger Dengan Format CSV Menggunakan Mikrokontroler,” Indones. J. Electron. Electromed. Eng. Med. informatics, vol.1, no.1, pp.13–25, 2019, [Online]. Available: http://digilib.its.ac.id/public/ITS-paper-29822-

-Paper.pdf.

D. Mussetyarsih, “‘ Data Logger Temperature Meter Pada Autoclave, TEKNOKES, vol. 1, no. 1, p. 19750522, 2015.

R. primaswara Bian, “Data Logger Temperature Meter pada Sterilisator Kering,” TEKNOKES, vol. 1, no. 2015, p. 19750522, 2016.

A. D. Korawan, “Rancang Bangun Data Logger Temperatur, SIMETRIS, vol. 12, no. 2, pp. 12–14, 2018.

R. muhammad sadli, “Desain Data Logger Sensor Suhu Berbasis Mikrokontroler Atmega16,” LITEK J. List. Telekomun. Elektron., vol. 17, no. 1, pp. 30–35, 2020.

A. K. Bintari, A. Pudji, and Syaifudin, “Kalibrator Suhu Dengan Thermocouple Dan Thermohygrometer Dilengkapi Penyimpanan Data,” TEKNOKES, vol. 1, no. 2013, pp. 0–5, 2016.

J. Prinyakupt and T. Yootho, “Multichannel temperature monitor on IoT,” BMEiCON 2016 - 9th Biomed. Eng. Int. Conf., vol. 1, no. 1, pp. 0–3, 2017.

N. Kashyap and U. C. Pati, “Multi channel data acqusition and data logging system for meteorology application,” 2015 Int. Conf. Smart Technol. Manag. Comput. Commun. Control. Energy Mater. ICSTM 2015 - Proc., vol. 1, no. May, pp. 220–225, 2015.

O. Ojike, C. Mbajiorgu, E. Anoliefo, and W. Okonkwo, “Design and Analysis of a Multipoint Temperature Datalogger,” Niger. J. Technol., vol. 35, no. 2, p. 458, 2016.

A. Z. Febriyanti, P. C. Nugraha, and Syaifudin, “Temperature Calibrator Using Thermocouple Based on Microcontroller,” IJEEMI, vol. 2, no. 1, pp. 13–20, 2020.

R. Benyon, J. De Lucas, G. Elvira, and H. Fuentes, “The calibration of data loggers for the characterization of sterilization autoclaves,” Int. J. Thermophys., vol. 32, no. 11–12, pp. 2504–2515, 2011.

M. Abrar, “Pengembangan Model untuk Memprediksi Pengaruh Bakteri pada Susu Segar Development of Model to Predict Effect of Storage Temperature to Bacterial Growth Rate in Fresh Milk,” J. Med. Vet., vol. 1, no. 2, pp. 109–112, 1999.

F. R. Abadi and I. K. Tastra, “Kinerja DataLogger ‘ Datataker Dt80 ’ Menggunakan Dua Jenis Termokel Tipe K pada Pengukuran Sifat Termal Bahan Pertanian,” IEEE, vol. 1, no. 1, pp. 706–716, 2017.

S. Wardoyo, R. Munarto, and V. P. Putra, “Rancang Bangun Data Logger Suhu Menggunakan Labview,” J. Ilm. Elit. ELEKTRO, vol. 4, no. 2013, pp. 23–30, 2013.

D. Saepul Ramdan and M. Naufal Wijaksana, “Sistem Monitoring Suhu Cold Storage Menggunakan Data Logger Berbasis Arduino dan Visual Basic,” KOPERTIP J. Ilm. Manaj. Inform. dan Komput., vol. 1, no. 3, pp. 107–112, 2017.

M. Rofi’i and D. Titisari, “Calibration Waterbath 9 (CHANNEL), Jeemi, vol. 1, no. 1, pp. 1–6, 2019.

S. Wardoyo, A. P. Habibie, and R. Wiryadinata, “Wireless Data Logger Suhu Multi Channel Menggunakan Labview,” J. Nas. Tek. Elektro dan Teknologi. Inf., vol. 5, no. 2, pp. 10–15, 2016.

N. V. Gupta and I. K. Purohit, “Temperature Mapping of Hot Air Oven (Dry Heat Sterilizer),” J. Pharm. Res., vol. 11, no. 2, pp. 18– 20, 2017.

S. N. Syayakti, E. D. Setioningsih, and S. Sumber, “4 Channel Sterilizer Calibrator,” Indones. J. Electron. Electromed. Eng. Med. informatics, vol. 1, no. 2, pp. 65–70, 2020.

Rizkiyatussani, Her Gumiwang Ariswati, and Syaifudin, “Five Channel Temperature Calibrator Using Thermocouple Sensors Equipped With Data Storage,” J. Electron. Electromed. Eng. Med. Informatics, vol. 1, no. 1, pp. 1–5, 2019.