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KARAKTERISASI DAN SIMULASI DIODA PN MEMPERGUNAKAN ALAT UJI OTOMATIS BERBASIS MIKROKONTROLER ATMEGA8A Oktavia, Dian Putri; Hamzah, Yanuar; Umar, Lazuardi
Komunikasi Fisika Indonesia Vol 13, No 12 (2016)
Publisher : Komunikasi Fisika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

An automated test platform for I-U curve diode characterisation based on microcontroller of Atmega8A is presented. Four types of diodes; 1N4007, 1N5401, 1N5392, and 1N4148 were characterized at temperature 303K using step voltage (dU) of 1mV, 5mV, 10mV, 20mV, 50mV, 100mV, and 500mv respectively. The temperature influences on diode was observed by putting diodes in adiabatic temperature chamber at three different temperatures of 313K, 323K, and 333K, the I-U curve of diodes are then measured. The results show an exponentially diodes I-U curve at quadrant I (forward bias region). For diode parameters, the I-U curve were then modeled and simulated after diodes equation and resulted an maximum absolute error 10.57% of full scale measurement
Infusion monitoring strategies with wireless systems in infectious and dangerous diseases Oktavia, Dian Putri; Saktioto, Saktioto; Hairi, Haryana Mohd; Asyana, Vepy
Science, Technology and Communication Journal Vol. 5 No. 1 (2024): SINTECHCOM Journal (October 2024)
Publisher : Lembaga Studi Pendidikan and Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v5i1.266

Abstract

Intravenous (IV) infusion therapy is a medical procedure that involves the insertion of fluids directly into the patient's vein using a needle/cannula. Mismanagement during infusion fluids replacement due to negligence and shortage of medical personnel and human error must be addressed promptly. Increasing in numbers of patients throughout the Covid-19 pandemic has raised the use of infusion and the error percentage in manual infusion monitoring has also escalated, as consequence, the needs of automatic-handy tools with affordable price become a concern. The infusion monitoring system used consists of three parts, namely sensing and computing, communication, and User. This device allows monitoring and visualization of IV therapy infusion for each patient in real-time, at a remote location.
Reflectivity of Bragg grating fiber on human respiration using InGaAs photodiode converter system Oktavia, Dian Putri; Saktioto, Saktioto; Hanto, Dwi; Syamsudhuha, Syamsudhuha; Amelia, Rina; Emrinaldi, Tengku
Indonesian Physics Communication Vol 22, No 2 (2025)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.22.2.175-178

Abstract

Respiration is a vital process characterized by exchanging oxygen and carbon dioxide. Indicators such as respiratory rate are essential for detecting pathological conditions, such as pneumonia and heart failure. This research aims to develop a respiratory sensor system based on fiber Bragg grating (FBG) as an innovative alternative in high electromagnetic field environments. The system utilizes FBG optical fibers to detect strain changes due to respiratory activity, providing a sensitive, safe, and highly electromagnetic environment-compatible solution. The study used FBG with variations in reflectivity of 30%, 50%, 70%, and 90%. FBGs are installed inside oxygen masks at five different points to monitor wavelength changes during respiratory activity. The measurement method involves an optical system with an interrogator and an electrical method using an InGaAs photodiode converter to convert an optical signal into an electrical signal visualized in LabVIEW. Respondents were tested in three activities: stillness, walking, and running. Variations in sensor reflectivity and position in masks were evaluated to determine sensitivity to respiratory changes. The data is collected as a graph of wavelength against time. The result showed that the change in the wavelength of the FBG correlated with the intensity of respiratory activity. The reflectivity of 90% results in the highest sensitivity, allowing for more accurate detection of strain changes. The position of the sensor at the center point of the mask demonstrates the most linear results, indicating optimal sensitivity. Physical activity, such as running, produces the greatest strain on the optical fiber. This study proves the potential of FBG as a precision medical sensor for respiratory monitoring applications.