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The Effect of Inaccurate Electronic Component Values on The Output Frequency Characteristics of Fourth Order Butterworth Type Low-pass Filter Circuits Sujiwa, Akbar; Maniani, Billy Sopater
Faraday: Journal of Fundamental Physics, Research, and Applied Science Vol. 1 No. 1 (2025): Faraday: Journal of Fundamental Physics, Research, and Applied Science
Publisher : Universitas Pembangunan Nasional "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/faraday.v1i1.4

Abstract

The low-pass filter opamp circuit is an active electronic circuit used to pass low frequencies. In practice, making this circuit requires active components in the form of an operational amplifier and several passive components such as resistors and capacitors. To obtain the required passive component values, calculations are carried out according to theory, but the results of these calculations sometimes make it difficult for users to find the values ​​for the same components. Components sold on the market do not always exactly match the user's needs, so sometimes these components are replaced with components whose size is close to the calculated value. Therefore, in this research, testing was carried out regarding the effect of inaccurate component values ​​on the filter output characteristics. From the results of this research, it was found that the cut-off frequency decreased by 6.25% and that premature damping occurred at low frequencies at 100 Hz. However, overall this series of filters is still suitable for use.
Analisis Eksperimental Waktu Respons dan Repeatabilitas Sensor Gas CCS811 terhadap Paparan Asap Rokok pada Ruang Uji Terkontrol Maniani, Billy Sopater; Sujiwa, Akbar; Hasan, Nailul
Jurnal Fisika Unand ##issue.vol## 15 ##issue.no## 3 (2026)
Publisher : Universitas Andalas

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Abstract

This study analyzes the response time and repeatability of a CCS811 gas sensor embedded in a self-developed wearable cigarette-smoke detector. Experiments were carried out in controlled test chambers of  cm and cm using exposures of 1–4 cigarettes, with five repetitions for each condition, yielding 40 experiments. The blue mark was defined as the start of exposure, the yellow mark as the instant when the TVOC reading first reached or exceeded the internal alarm threshold of 65 and the vibration motor was activated, and the red mark as the peak value before the signal decreased. The analyzed parameters were alarm time, peak time, peak eCO2, peak TVOC, standard deviation, and coefficient of variation. The mean alarm time ranged from 35.43 to 91.98 s, while the mean peak time ranged from 76.50 to 139.29 s. The highest peaks were observed for four cigarettes, reaching 6051.4 ppm and 9389.0 ppb in the 20 cm chamber, and 5984.4 ppm and 9234.0 ppb in the 40 cm chamber. Two-way ANOVA indicated that chamber size and cigarette number significantly affected peak eCO2 and peak TVOC (p<0.01), but not response time (p>0.05). These results show that the CCS811 is feasible for trend detection of cigarette smoke exposure in low-cost wearable devices