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All Journal Jurnal Teknik Elektro Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat

Yefriadi Yefriadi

Jurusan Teknik Elektro Politeknik Negeri Padang

Author-ID : 2488734

Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Other

Published : 6 Documents Claim Missing Document

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Pembuatan Histogram Dan Pola Data Warna Urin Berdasarkan Urinalisis Menggunakan Mini PC Andrizal Andrizal; Anton Hidayat; Tuti Angraini; Yefriadi Yefriadi; Rusfandi Rusfandi; Rivanol Chadry
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 3 (2018): Desember 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

The method for observing urine color to diagnose a disease of patient has done so far. The visual observation with human eyes has done to study and analyze human urine color and detect the connected disease. Human vision lately can be replaced with computer visual system or other sensor or camera to detect that color. The color of object is composed by two color components, they are frequency and spatial domain. Therefore, each color has wavelength and form in number of frequency. Color censor TCS 3200 produces output signals with different frequency based on scanned color through photodiode of the censor. Recognizing of the object in the form of shape, color and other variables of the object. Feature extraction is obtain from the data pattern as well as histogram. This research aims generate histogram and urine color pattern according to patient situation indication. The use of color reference is main color urinalysis, the result of method at Cleveland in Ohio in 2013. Based on the research, the pattern and color histogram were obtained in different style found in detected different urine color. This research would contribute to help identification process of diseases based on urine color thorough online.

The Generating Super Resolution of Thermal Image based on Deep Learning Ismail Ismail; Yefriadi Y; Yuhefizar Y; Fibriyanti; Zulka Hendri
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 2 (2022): April 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

The need for a high resolution to the thermal image is urgent and essential. The high resolution of the thermal image can give accurate information on the heat distribution map of the objects. The accurate heat distribution maps can give accurate temperature information. This accurate temperature measurement is used for measuring many objects such as electric motors, engines, the human body, and so on—this information is used to detect the anomalies of the object to find the damaged parts. The anomalies are considered damaged parts found in solar panels, agricultural fields, buildings, bridges, etc. As the super-resolution of thermal images is very important, generating them is compulsory. The camera for obtaining super-resolution thermal images is rare, not available in the common market. Furthermore, this kind of device is costly too. Therefore not all the users, such as farmers or technicians, can have them. In order to handle the problem, the proposed method has the purpose of generating super-resolution thermal images economically and is more accessible through the deep learning method. The dataset is taken from the solar panel. The results show that the proposed method can handle the low-resolution problem of thermal images.

Co-Authors - Andrizal Andrizal Andrizal Anton Hidayat Asrul, Junaidi Fibriyanti Humaira, Humaira Ismail Ismail Miftahur Rizky Muchtara, Efendi Nadia Alfitri Rahmi Berlianti Rivanol Chadry Ronal Hadi Roza Susanti Rusfandi Rusfandi Tuti Angraini Tuti Azra Vicky Hidayat Yuhefizar Yuhefizar Zulka Hendri

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