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Analysis Of Early Warning System In Cold Room Vaccine Storage With Iot System Aprilina Gayuh Arniningtyas; Andjar Pudji; Endro Yulianto; Latafat Mikayilzade Ali
Jurnal Teknokes Vol 16 No 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i2.487

Abstract

Cold room as a cold room for vaccine storage is an environment with a controlled temperature used to maintain and distribute vaccines in optimal conditions. To maintain the vaccine, it is necessary to pay attention to routine temperature monitoring, temperature data management, and prevention of situations that endanger the vaccine. The results of this review are expected to be a reference for researchers and readers with the development of research using the DS B1820 temperature sensor which will analyze the results of the data logger output and linearity at sensitive locations Cold Room with LCD output and equipped with an IoT system web display on a PC for monitoring and alarm. and notification via telegram when there is a change in temperature approaching and outside the range of 2 - 8 ° C so that this can make it easier for officers to monitor the temperature and quality of the vaccine. In the results of the study, temperature graphs and temperature data can be displayed which are recorded in minutes. Temperature measurement with standard tools produces the largest difference of 0.83. The lowest temperature was 2.06℃ and the highest temperature was 8.31℃ as well as telegram notification of early warning (2.58℃), evacuation vaccine (2.31℃), and exposed vaccine (8.6℃).
QRS Complex Detection on Heart Rate Variability Reading Using Discrete Wavelet Transform Arga Wihantara; I Dewa Gede Hari Wisana; Andjar Pudji; Sari Luthfiyah; Vijay Anant Athavale
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 4 (2022): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i4.159

Abstract

Heart Rate Variability or heart rate in humans is used to monitor the function of the human heart. This research designed a tool to compare the results of heart rate readings using the discrete wavelet transform method to facilitate the detection of R peak. This can be obtained by evaluating and studying each decomposition result from level 1 to level 4 on Discrete Wavelet Transform processing using Haar mother wavelets. This study further used a raspberry pi 3B as the microcontroller of the data processor obtained from the ECG module. Based on the results obtained in this study, it can be concluded that in heart rate readings, level 2 decomposition details coefficient had the best value as data processing that helps the heart rate readings with an error value of 0.531% compared to HRV readings that obtained 0.005 using phantom tools and a standard deviation of 0.039. Furthermore, the advantage obtained from this tool is a good precision value in HRV and BPM readings. In reading the HRV of the respondent, it was found that each initial condition of the patient's HRV would be high due to the respondent's unstable condition. The disadvantage of this tool is a delay in running the program and no display in the form of a signal in real time.