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Contact Name
Oris Krianto Sulaiman
Contact Email
oris.ks@ft.uisu.ac.id
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Journal Mail Official
oris.ks@ft.uisu.ac.id
Editorial Address
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Kota medan,
Sumatera utara
INDONESIA
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan
ISSN : 25407597     EISSN : 25407600     DOI : -
Core Subject : Science,
Merupakan jurnal yang dikelola oleh program studi teknik informatika Universitas Islam Sumatera Utara (UISU), jurnal ini membahas ilmu dibidang Informatika dan Teknologi jaringan, sebagai wadah untuk menuangkan hasil penelitian baik secara konseptual maupun teknis yang berkaitan dengan ilmu informatika. InfoTekjar terbit 2 kali dalam setahun yaitu pada bulan maret dan september, terbitan pertama bulan september 2016. Artikel yang masuk akan diterima oleh editor untuk kemudian diteruskan ke editor bagian dan diteruskan lagi ke reviewer untuk di review artikel nya. Waktu review maksimal dilakukan selama 4 minggu.
Arjuna Subject : -
Articles 322 Documents
Design of a Virtual Based English Learning Application System Reality and Augmented Reality Hasibuan, Ahmad Riady; Syafrayani, Putri Rizki; Khairani, Suci
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 8, No 2 (2024): InfoTekJar Maret
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v8i2.9894

Abstract

Textbook-based learning media makes the learning atmosphere less attractive for students, especially for elementary school students. This causes the transfer of knowledge to be hampered. Advances in information technology have penetrated the world of education which applies information technology as a tool in teaching and learning activities such as visual animations including augmented reality technology. The augmented reality of technology in English learning applications is a solution to attract the interest of elementary school children. This application has two main features, namely learning and quizzes. First, students are given an introduction to objects around the house in English, then asked to work on questions in an augmented reality and virtual reality technology environment. This application carries out several processes which include reading marker symbols using a camera, then carrying out a pre-processing stage, namely the segmentation process for comparing marker symbols. If the marker symbol is an image that is similar to the reference data, the recognition image will be used to display the 3 dimensions of the object. The trial results show that the features of this application work well, and students perceive it as helpful to have this application for learning English.
Attedance System with Face Recognition Based on Raspberry Pi using Viola Jones Algorithm Hakim, Arief Rahman
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 8, No 2 (2024): InfoTekJar Maret
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v8i2.9898

Abstract

In the process of recording attendance at the company, there are many ways that can be used, such as using an attendance card, employee ID (Identity) and fingerprints. However, the existing methods still have the potential for fraud to occur, such as entrusting attendance cards or ID cards to other co-workers, manipulating time on attendance cards, doubling fingerprints etc., so we need another more precise method such as face recognition. This method was chosen because it is considered the most appropriate and very effective than other methods. This study builds a presence system using Raspberry Pi as an image processing controller, a camera to capture facial images and an ultrasonic sensor to detect the presence or absence of people, then the system will perform face recognition using Viola Jones algorithm, followed by validation where the input data will be matched with the data contained in the database and the resulting output in the form of attendance records used for recapitulation. After testing, accurate detection results were obtained when taking the right employee face data that with perpendicular position to the camera so that attendance can be recorded