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Verification of Quartz Crystal Microbalance Array using Vector Network Analyzer and OpenQCM Ahmad Anwar Zainuddin; Anis Nurashikin Nordin; Rosminazuin Ab. Rahim; Aliza Aini Md. Ralib; Sheroz Khan; Cyril Guines; Matthieu Chatras; Arnaud Pothier
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 1: April 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i1.pp84-93

Abstract

Quartz Crystal Microbalance (QCM) is a device that allows non-destructive measurements of r in situ reaction activities. In this article, an array comprising of six 3MHz QCM sensors in an array were characterized using a vector network analyzer and OpenQCM, a portable measuring instrument that measures change in resonance frequency. Measurements of S21 transmission characteristics using the vector network analyzer provides the resonance frequency and can also be used to derive the RLC equivalent electrical circuit values of a resonant two-port network based on the Butterworth-Van Dyke model. In this work, Rm, Lm, Cm and Co were obtained via curve-fitting of the measurement results to the simulated results. Measurements were done in triplicates to verify reproducibility for all 6 sensors. For comparison, measurements were also done using a portable, open-source instrument, OpenQCM. The OpenQCM instrument directly measures changes in resonance frequencies, making it ideal for biosensing experiments, which correlate changes in mass with changes in resonance frequencies. Comparison between resonance frequency measurements using VNA and OpenQCM exhibit low percentage difference 0.2%.  This QCM sensor array has the potential of conducting real-time, point-of-care analyses for detection of biological molecules. 
Black Phosphorus Saturable Absorber for Pulse Generation Using Q-switched Teachnique Belal Ahmed Hamida; L A Hussein; Sheroz Khan; Mohamed Hadi Habaebi; Ahmad Anwar Zainuddin; T Eltaif; S W Harun
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i1.pp36-40

Abstract

This paper reported a passive Q-switched erbium doped fiber laser (EDFL) using two-dimensional (2D) material of black phosphorus saturable absorber (BP-SA). The maximum output power reached is 3.54 mW, which is generated by pump power of 42.327 mW. The results show that a stable pulse was generated with repetition rate starts at about 9.606 kHz and ends at about 44.72 kHz and very narrow pulse width between 40.01 µs and 9.84 µs and pulse energy 80 nJ. Clearly, the stability of the Q-switched pulse train was achieved because the BP-SA film was inserted in the laser ring cavity.
Implementing R-STEM and the ISLE Model to Enhance Students' Conceptual Understanding of Magnetic Induction at Unsyiah Laboratory School Yulma Erma Yanti; Irwandi; Rini Safitri; Nizammuddin; Razief Perucha Fauzie Afidh; Muzakiah; Hasrati; Nurul Azmi; Ahmad Anwar Zainuddin; Amir ‘Aatieff Amir Hussain; Mohd Khairul Azmi Hassan
Jurnal Penelitian Pendidikan IPA Vol 11 No 3 (2025): March
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i3.8665

Abstract

Many schools face difficulties in implementing science education through a practicum due to insufficient laboratory facilities and bureaucratic constraints, which hinder students' hands-on learning. To address such constraints, a new web-based remote laboratory, Remote STEM (R-STEM) platform, was introduced by the STEM Research Center. This study explores using R-STEM in learning magnetic induction using the ISLE-based STEM approach with Student Activity Sheets (LKPD) to enhance engagement. A mixed-methods research design was utilized, and 72 high school students underwent a set of experiments according to the ISLE cycle, from observations to pattern detection, explanation, predictions, and experimentation verification. The results show a high rate of students’ understanding of magnetic induction, with a score in LKPD evaluation at 84%, a rate of implementation at 93%, and a score in learning activity alignment at 78.5%. In addition, pretest and posttest tests showed a learning outcome increase by 71%. This study contributes to the broader scientific educational community by demonstrating that remote laboratories can be effective in enhancing STEM learning, particularly in schools with fewer laboratory facilities.