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All Journal KOMPUTIKA - Jurnal Sistem Komputer TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan JUSTIN (Jurnal Sistem dan Teknologi Informasi)
Nizar, Taufiq Nuzwir
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Deteksi Aktivitas Mata, Mulut Dan Kemiringan Kepala Sebagai Fitur Untuk Deteksi Kantuk Pada Pengendara Mobil Sugeng, Sugeng; Nizar, Taufiq Nuzwir
Komputika : Jurnal Sistem Komputer Vol 12 No 1 (2023): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v12i1.9688

Abstract

Drowsiness in four-wheeled drivers is one of the factors that cause traffic accidents. Drowsiness can be caused due to the tiredness of the journey that is passed by the driver. Utilization of artificial intelligence can be used to detect a driver's drowsiness, one of which is by observing eye activity or condition, mouth movement, and head position while driving. By knowing all these conditions, a machine can be made that can give a warning if the driver experiences possible drowsiness. This study utilizes a camera as data input to recognize the condition of the driver through activity, eyes, mouth, and head tilt position. The system will start by detecting the rider's face, then calculating each activity of eye blinking, the number or number of mouths open due to yawning, as well as head activity through poses and tilt of the head position. Face detection is used to determine the position of the face and then detect the position of the driver's eyes, mouth, and head. Utilizing artificial intelligence with the Blazeface method which is an algorithm used to map facial positions. As well as using the EAR (Eye Aspect Ratio) method to be able to determine whether the eyes and mouth are open or closed. The results of this study obtained a face detection accuracy of 98% and the system can only detect faces at an angle of 0-15 degrees. Keywords – Face Recognition, Mediapipe, Face Extraction, Machine Learning, Blazeface.
Perancangan Sistem Kendali Kecepatan Putaran Mesin Bensin Menggunakan PID Hidayat, Asep Yusril; Kerlooza, Yusrila Yeka; Nizar, Taufiq Nuzwir
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol 11 No 1 (2023): TELEKONTRAN vol 11 no 1 April 2023
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/telekontran.v11i1.8161

Abstract

Abstrak - Kebutuhan akan sistem kontrol yang efektif dan efisien saat ini semakin dibutuhkan, contohnya pada industri pemilahan sampah yang menggunakan conveyor belt bermesin bensin sebagai alat mobilisasi sampah yang akan disortir, namun beban sampah yang berbeda beda mengakibatkan pergerakan conveyor belt tidak stabil. Penelitian ini bertujuan untuk mengendalikan kecepatan putaran mesin bensin dengan menerapkan sensor dan aktuator pengendali yang diimplementasikan dengan algoritma sistem kendali PID, serta mencari nilai parameter KP, Ki, Kd yang tepat agar kecepatan dapat mencapai set point dengan waktu dan stabilitas terbaik. Penelitian dilakukan pada mesin bensin jenis Stihl PC-75 dengan menggunakan sensor hall effect sebagai sensor kecepatan, sensor potensiometer yang digunakan untuk mengetahui posisi gas, serta aktuator pengendali kecepatannya yaitu motor DC yang didesain untuk menarik kabel throttle gas, untuk memproses pengolahan data dilakukan pada mikrokontroler Arduino Mega 2560. Hasil yang didapat dari penelitian ini adalah sensor hall effect mampu membaca kecepatan sampai 18000 rpm dengan menggunakan filter moving average bernilai 25 sampling, dan aktuator pengendali gas mampu bekerja pada sistem ini, nilai parameter PID terbaik untuk mencapai set point 8000 rpm berada pada nilai Kp = 0.51, Ki = 0.3, Kd = 5, menghasilkan waktu 15,5 detik untuk mencapai keadaan stabil dan dengan error kestabilan 3,88%. Kata kunci: PID, mesin bensin, hall effect, kecepatan, kestabilan.
Augmented Reality Technology in Designing Sign Language Learning Applications sugeng, sugeng; Nizar, Taufiq Nuzwir; Nathanael, Bob
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 12, No 2 (2024)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v12i2.76041

Abstract

Sign Language Learning Application Using Augmented Reality Technology with Markerless Method. Communication is an essential need for humans in everyday life. Every individual needs communication to understand the intentions of others towards themselves and their environment. However, some individuals face difficulties in communicating, especially for those with physical disabilities such as the Deaf. One common alternative form of communication used by the Deaf is sign language. This research aims to create a sign language learning application that combines Google Speech voice recognition technology and Augmented Reality with the markerless method. This application converts sound into SIBI sign language movements displayed in the form of 3D animation through Augmented Reality. This application will be used by the general public as a tool in learning sign language. Based on the results of testing that has been done, the application successfully achieves the goals set, with the integration of Google Speech voice recognition and Augmented Reality markerless achieving a success rate of 77.5%.
Kalibrasi Sensor Monitoring Cuaca pada Area Lokal untuk Meningkatkan Akurasi pada Sensor Biaya Rendah Sugeng, Sugeng; Nizar, Taufiq Nuzwir; Jatmiko, Didit Andri; Hartono, Rodi; Kerlooza, Yusrila Yeka
Komputika : Jurnal Sistem Komputer Vol. 13 No. 2 (2024): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v13i2.13949

Abstract

Current weather monitoring data can be accessed in real-time through applications on Android and desktop devices provided by BMKG. Data sensors installed in specific areas or through monitoring in a particular region. BMKG sensors installed only in a limited number of areas, this study aims to evaluate and improve the accuracy of sensors used in weather monitoring systems in tropical regions. Sensor calibration is conducted using standard methods along with special adjustments for local conditions. Each sensor is tested under conditions that represent the actual environmental conditions, alongside a reference sensor for calibration. The calibration process involves collecting data from the lowest range of sensor readings to a certain range according to the sensor's or testing equipment's capabilities. The sensor readings are then compared with those of the reference measuring devices, and linear regression analysis is performed to examine the distribution of the sensor data against the actual sensor data. The calibration results yield equations that can be used to adjust the sensors to align with the actual sensors. All sensors are then installed and tested for several days to assess the calibration results. The study findings indicate an improvement in accuracy after calibration and provide recommendations for field use
Co-Authors Hartono, Rodi Hidayat, Asep Yusril Jatmiko, Didit Andri Kerlooza, Yusrila Yeka Nathanael, Bob Sugeng Sugeng