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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Sistem Informasi Kaputama (JSIK) JTIK (Jurnal Teknik Informatika Kaputama) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Sistem Komputer dan Informatika (JSON) Internasional Journal of Data Science, Computer Science and Informatics Technology (InJODACSIT)
Julham Julham
Politeknik Negeri Medan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Mechanical Engineering

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Journal : JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING

 1 
Utilization of Color Space Value Filter for Laser Pointer Spot Detection with a Single Board Computer julham -; Hikmah Adwin Adam; Meryatul Husna
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6119

Abstract

A color space is an abstract mathematical model that describes how a color can be represented as a row of numbers. One abstract mathematical model of the color space that represents the brightness of a color is the value color space or known as the value filter. For this reason, a gray scale is used with a value range of 0 to 255. This is tested in detecting a red laser pointer light spot that is directed into a field. The results obtained show that more inconsistent detection results are displayed than consistent detection results (can be seen in table 1 and table 2). This can happen because the area of the image captured by the camcorder has several pixels with a maximum gray level value or a gray level value that exceeds the specified limit value (maxBri variable).
Applied Of Geofencing In Microcontroller With Linear Inequality Approach Of Two Variables julham -; Hikmah Adwin Adam
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 2 (2021): EDISI JANUARY 2021
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v4i2.4470

Abstract

Geofencing merupakan suatu batas virtual yang mengelilingi sebuah area geografis. Area geografis terdiri-dari banyak titik yang mana nilai titik dapat diketahui dengan menggunakan perangkat GPS (Global Potisioning System). Sekarang ini perangkat GPS sudah ada yang berbentuk hanya modul GPS saja, sehingga bisa dikembangkan secara mandiri sesuai kebutuhan. Contoh dari modul tersebut adalah modul GPS GY-NEO6MV2 (Ublox NEO6MV2). Modul ini dapat berkomunikasi dengan mikrokontroler melalui komunikasi serial. Untuk itu penerapan geofencing ke mikrokontroler dapat dilakukan. Wilayah geofencing-nya berbentuk segitiga sembarang yang lokasinya di sekitar kampus Politeknik Negeri Medan, dimana pendekatan Pertidaksamaan Linear Dua Variabel digunakan dalam menentukan wilayah tersebut. Metode penelitian yang digunakan adalah  research and development (R&D). Total rata-rata penyimpangan titik ukur jika dibandingkan dengan GPS buatan pabrik adalah 6,455127033 meter. Dan sistem memberikan indikator OUT jika berada di luar wilayah geofencing dan indikator IN jika berada di dalam wilayah geofencing.
Qr Code Reader System Assisted With Face Detection Using Multi Webcam julham -; Hikmah Adwin Adam
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 2 (2021): EDISI JANUARY 2021
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v4i2.4471

Abstract

Informasi yang terdapat pada QR Code dapat dibaca dengan alat pemindainya. Alat pemindai yang digunakan berupa kamera yang terkoneksi ke sistemnya, contohnya webcam. Saat sekarang ini, alat pemindai akan bekerja secara otomatis jika mendeteksi objek QR Code tersebut. Pada penelitian ini, alat pemindai QR Code yang sudah ada akan dikembangkan dengan menambahkan deteksi wajah manusia di dalam sistemnya, yang mana proses memindai dan mendeteksi akan berjalan secara bersamaan di satu sistem. Tanpa deteksi wajah maka sistem tidak bisa bekerja. Metode penelitian yang dipakai adalah jenis research and development (R&D). Sistem yang dihasilkan terdiri dari server penghasil gambar QR Code dan sistem pemindai dengan dua webcam. Fungsi server adalah untuk mendaftarkan informasi yang akan disimpan ke gambar QR Code. Untuk akses ke server menggunakan browser, sedangkan pada sistem pemindai menggunakan aplikasi yang dibuat dengan bahasa pemrograman Processing. Antara server dan sistem pemindai terkoneksi secara otomatis ketika mengekstrak informasi yang ada pada gambar QR Code. Jarak baca agar sistem pemindai bekerja adalah antara 10 cm sampai dengan 55 cm.
OpenCV Using on a Single Board Computer for Incorrect Facemask-Wearing Detection and Capturing julham -; Meryatul Husna; Arif Ridho Lubis
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6118

Abstract

OpenCV (Open Source Computer Vision Library) is a software library intended for real-time dynamic image processing, created by Intel. In this study, the library will be used to detect the face, nose and mouth. Furthermore, the system is equipped with the knowledge that if the mouth and nose or one of them is detected, then the face has not used the mask correctly and the system records the face. The system is supported by an image capture device in the form of a camcorder, a processing device in the form of a single board computer, such as a Raspberry Pi and a display device in the form of a monitor. And the result is that the system is able to make a decision whether the face is wearing a mask correctly or not. By means of labeling around the face in the form of red angular lines, if not properly use the mask. The success rate is 88.4% using detector parameters, namely: scale factor = 1.1 for all face, nose and mouth object libraries.
Co-Authors Al Khowarizmi Antoni Ferry Fachrizal - Hikmah Adwin Adam Hikmah Adwin Adam Husna, Meryatul Idham Kamil Kadri Yusuf Lubis, Arif Ridho Muharman Lubis Prayudani, Santi Putri Ayu Sitorus