Imperfection method based on optical fiber for alcohol content detection sensor

Authors

Muhammad Yunus , Syahdad Aziz , Bunga Tang , Yusuf H. Usman , Irsan Irsan , Septiana Kurniasari

DOI:

10.29303/jpm.v18i2.4605

Published:

2023-03-30

Issue:

Vol. 18 No. 2 (2023): March 2023

Keywords:

Alcohol, Sensor, Optical Fiber

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How to Cite

Yunus, M., Aziz, S. ., Tang, B. ., Usman, Y. H. ., Irsan, I., & Kurniasari, S. . (2023). Imperfection method based on optical fiber for alcohol content detection sensor. Jurnal Pijar Mipa, 18(2), 260–264. https://doi.org/10.29303/jpm.v18i2.4605

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Abstract

Testing of optical fiber-based sensors using the imperfection method to detect alcohol contents. The sample results from mixing alcohol and distilled water to produce eight samples with an alcohol content level from 0% to 70%. The greater alcohol content causes the output power of the sensor to decrease due to the increase in the refractive index of alcohol content around the sensor. An increase in the refractive index of alcohol content causes power losses to increase, resulting in lost light intensity being transmitted in optical fiber-based sensors. Power losses are increasing to produce the best characteristics of the sensor. The best sensor is shown in the Gamma configuration at imperfection 3 with a sensitivity value of 0.346 µW/%. The imperfection method is suitable for determining the characteristics of optical fiber-based alcohol detection sensors because it has a high sensitivity.

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Author Biographies

Muhammad Yunus, Department of Physics, Faculty of Mathematics And Natural Sciences, Universitas Negeri Gorontalo

Syahdad Aziz, Department of Physics, Faculty of Mathematics And Natural Sciences, Universitas Negeri Gorontalo

Bunga Tang, Department of Physics, Faculty of Mathematics And Natural Sciences, Universitas Negeri Gorontalo

Yusuf H. Usman, Department of Physics, Faculty of Mathematics And Natural Sciences, Universitas Negeri Gorontalo

Irsan Irsan, Department of Physics, Faculty of Mathematics And Natural Sciences, Universitas Negeri Gorontalo

Septiana Kurniasari, Department of Physics, Faculty of Mathematics And Natural Sciences, Universitas Negeri Gorontalo

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Copyright (c) 2023 Muhammad Yunus, Syahdad Aziz, Bunga Tang, Yusuf H. Usman, Irsan Irsan, Septiana Kurniasari

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