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Ultraviolet – C Dose Spread Simulation based on the Fixed-Lamp System in Universitas Multimedia Nusantara Fahmy Rinanda Saputri; Niki Prastomo; Jeremy Pratama Wijaya
IJNMT (International Journal of New Media Technology) Vol 8 No 2 (2021): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v8i2.2357

Abstract

Since Corona Virus Disease (COVID) – 19 is considered a pandemic by the World Health Organization (WHO), governments, and communities, worldwide trying to prevent transmission and reduce the number of deaths caused by the virus. One method of preventing transmission is spraying disinfectants using certain chemical compounds. However, chemicals can also hurt the environment and humans themselves if the doses used are not by existing standards. An alternative disinfectant method that does not use chemicals and is environmentally friendly, namely by using the UV (Ultraviolet)-decontamination method, UV-C rays. This research aims to find out the results of UV irradiation from UV-C lamps in theory and measurement. Then, the optimal placement of a fixed - UV lamp system to obtain an effective disinfectant dose and the length of time it takes to reach the target dose prevent the spread of the COVID-19 virus. The methods include theoretical calculations and data measurements to see the results of UV radiation irradiation on UV-C lamps and look for correlations between the two to find the conversion value. Moreover, with the help of DIALux Evo 9.2 software to find out the radiation value from the conversion equation, see the optimum UV dose spread, and reach the desired dose target time. The result is that there are differences in the results of UV irradiation on UV-C lamps with the efficiency of lamps and ballasts as well as on the measurement method that affects UV-C radiation, but according to field conditions and does not affect the actual application. The number of lamp placements and the dimensions of the room affects the dose spread. Moreover, the minimum time to achieve the target dose in the case study is 29 minutes using six placements of UV-C lamps with two lamps each at the six placement points.
Perbandingan Pola Sinyal Penyakit Myocardial Infarction dengan Jantung Normal Menggunakan Metode Wavelet Symlet Markus Aminius Gilbert; Nabila Husna Shabrina; Andre Wijaya; Jeremy Pratama Wijaya
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 1 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (897.49 KB) | DOI: 10.31937/sk.v12i1.1631

Abstract

On the signal of healthy human cardiography and people with myocardial infarction contain a lot of noise. For this reason, it is necessary to process the appropriate signal so that the information contained by the signal can be detected easily. Stages of research include data search, pre-processing, signal processing with the denoise Wavelet Symlet method, and qualitative comparison of cardiographic signal patterns resulting from normal human signal processing with myocardial infarction. To eliminate noise on ECG signals, the denoise method using Wavelet Symlet is proven to be better than the Finite Impulse Response (FIR) Hamming Windows filter. MATLAB is one of the software options that can be used in processing cardiographic signals with denoise Wavelet Symlet method, proven to have a fairly high reliability based on qualitative analysis. This trial also proved that the pattern of human cardiographic signals with myocardial infarction disorders was quite random and and differed from one patient to another. However, slower heart rate patterns, greater amplitude, and abnormalities in the P, T signal and stretching Q-S distances can be a reference for diagnosing someone with myocardial infarction.