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All Journal Buletin Ilmiah Sarjana Teknik Elektro Signal and Image Processing Letters
Arif Budi Setiawan
Universitas Ahmad Dahlan
Biochemistry, Genetics & Molecular Biology Computer Science & IT Electrical & Electronics Engineering Engineering Neuroscience

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Pengatur Intensitas Cahaya Ruangan dengan Metode Fuzzy Logic Menggunakan PLC Arif Budi Setiawan; Riky Dwi Puriyanto
Buletin Ilmiah Sarjana Teknik Elektro Vol. 1 No. 3 (2019): Desember
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v1i3.1033

Abstract

Sistem penerangan ruangan konvensional kurang efisien dalam penggunaan energi karena hanya menggunakan prinsip menyalakan (on) dan mematikan (off) lampu serta tidak menghiraukan pengaruh dan kontribusi dari luar atau pencahayaan matahari. Untuk mengatasi permasalahan tersebut dibuatlah sistem pengendalian cahaya lampu penerangan secara otomatis menggunakan Programmable Logic Controller (PLC) Omron sebagai pengendali. Proses pengendalian intensitas cahaya lampu, pada ruangan memanfaatkan dua sensor cahaya berjenis Light Dependent Resistance (LDR) dengan menggunakan metode fuzzy Sugeno sebagai cara pengambilan keputusan dengan dua himpunan dan tiga variabel disetiap himpunan, sedangkan untuk mengubah kembali ke bentuk bilangan crisp atau defuzzyfikasi menggunakan metode Centroid. Kendali fuzzy logic sangat tepat digunakan untuk pengendalian sistem yang bersifat non-linear dan adaptif. Berdasarkan hasil pengujian, sistem yang dibangun dapat berjalan dengan baik dengan tingkat akurasi pengendalian sebesar 99,38% yang diperoleh dari perbandingan antara pengujian sistem langsung dan pengujian dengan Matlab.Conventional room lighting systems are less efficient in energy use because they only use the principle of turning on (off) and turning off (off) lights and ignoring the influence and contribution of outside or solar lighting. To overcome these problems, a lighting control system was made automatically using the Omron Programmable Logic Controller (PLC) as a controller. The process of controlling light intensity, in a room utilizing two light sensors, type Light Dependent Resistance (LDR) using the Sugeno fuzzy method as a way of making decisions with two sets and three variables in each set, while to change back to the form of crisp numbers or defuzzification using the Centroid method. Fuzzy logic control is very appropriate to be used for controlling systems that are non-linear and adaptive. Based on the test results, the system built can run well with a level of accuracy of control of 99.38% obtained from the comparison between direct system testing and testing with Matlab.
Real-time Facial Expression Recognition to Track Non-verbal Behaviors as Lie Indicators During Interview Arif Budi Setiawan; Kaspul Anwar; Laelatul Azizah; Adhi Prahara
Signal and Image Processing Letters Vol. 1 No. 1: March 2019
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v1i1.144

Abstract

During interview, a psychologist should pay attention to every gesture and response, both verbal and nonverbal language/behaviors, made by the client. Psychologist certainly has limitation in recognizing every gesture and response that indicates a lie, especially in interpreting nonverbal behaviors that usually occurs in a short time. In this research, a real time facial expression recognition is proposed to track nonverbal behaviors to help psychologist keep informed about the change of facial expression that indicate a lie. The method tracks eye gaze, wrinkles on the forehead, and false smile using combination of face detection and facial landmark recognition to find the facial features and image processing method to track the nonverbal behaviors in facial features. Every nonverbal behavior is recorded and logged according to the video timeline to assist the psychologist analyze the behavior of the client. The result of tracking nonverbal behaviors of face is accurate and expected to be useful assistant for the psychologists.
Co-Authors Adhi Prahara Kaspul Anwar Laelatul Azizah Puriyanto, Riky Dwi