Implementasi Kalman Filter Untuk Mengurangi Noise Sinyal Sensor Pada Pengembangan UVCOM (Ultraviolet-C Dan Ozon Meter)

Kusumawardani, Aldi Bagas (2021) Implementasi Kalman Filter Untuk Mengurangi Noise Sinyal Sensor Pada Pengembangan UVCOM (Ultraviolet-C Dan Ozon Meter). Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pada pengembangan sterilisator dengan menggunakan metode konsentrasi gas Ozon dan radiasi UV-C dibutuhkan sebuah alat ukur untuk membantu dalam konfigurasi system sterilisator. Pada alat ukur yang sudah ada di perusahaan sebelumnya masih menggunakan kabel dan belum memiliki fitur pemantauan jarak jauh, sehingga masih kurang aman dalam penggunaannya. Berdasarkan permasalahan tersebut dikembangkan UVCOM (Ultraviolet-C dan Ozon Meter). UVCOM merupakan alat ukur radiasi sinar UV-C dan konsentrasi Ozon bebasis IoT (Internet of Things). Akan tetapi dalam pengembangannya, UVCOM terdapat banyak noise yang menghalangi sinyal sensor yang sebenarnya. Berdasarkan permasalahan tersebut, sebagai solusi diimengimplementasikan metode Kalman filter dengan tujuan untuk mengurangi noise pada sinyal sensor. Berdasarkan hasil pengujian yang dilakukan pada penelitian, didapatkan perbandingan deviasi standar sinyal mentah dari sensor 3,58 dan deviasi standar sinyal setelah diimplementasikan metode Kalman filter 0,42. Berdasarkan hasil tersebut dapat ditarik kesimpulan bahwa metode Kalman filter efektif dalam mengurangi noise sinyal sensor.
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In the development of a sterilizer using the Ozone gas concentration method and UV-C radiation, a measuring instrument is needed to assist in the configuration of the sterilizer system. The measuring instruments that already exist in the previous company still use cables and do not yet have a remote monitoring feature, so they are still not safe in their use. Based on these problems, UVCOM (Ultraviolet-C and Ozone Meter) was developed. UVCOM is a measuring instrument for UV-C radiation and IoT (Internet of Things) based Ozone concentration. However, in its development, UVCOM contains a lot of noise that blocks the actual sensor signal. Based on these problems, as a solution, the Kalman filter method is implemented with the aim of reducing noise in the sensor signal. Based on the results of the tests carried out in the study, the comparison of the standard deviation of the raw signal from the sensor is 3.58 and the standard deviation of the signal after the implementation of the Kalman filter method is 0.42. Based on these results, it can be concluded that the Kalman filter method is effective in reducing sensor signal noise.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Kalman Filter, Ozone, Sterilizer, Ultraviolet-C, Kalman Filter, Ozon, Sterilisator, Ultraviolet-C
Subjects:	Q Science Q Science > QA Mathematics Q Science > QA Mathematics > QA402.3 Kalman filtering. T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7871.674 Detectors. Sensors T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7878 Electronic instruments
Divisions:	Faculty of Vocational > 36304-Automation Electronic Engineering
Depositing User:	Aldi Bagas Kusumawardani
Date Deposited:	19 Aug 2021 08:12
Last Modified:	19 Aug 2021 08:12
URI:	http://repository.its.ac.id/id/eprint/88483

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