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All Journal Jurnal Mantik
Bintang Eka Putera
Gunadarma University, Indonesia
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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Measuring the distance of crowd movement objects to the camera using a stereo camera calibrated with object segmentation histogram of oriented gradient Bintang eka putera; Singgih Jatmiko; Ary Bima Kurniawan
Jurnal Mantik Vol. 7 No. 1 (2023): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i1.3711

Abstract

Measuring the distance of objects to human objects is currently under development. In its development, a lot of research on measuring object distances was carried out in developing security systems and surveillance systems, one of which was in security in the environment of many human objects or crowds. This study uses the object segmentation method using the Histogram of Oriented Gradient feature to segment crowd objects. In determining the value of the distance based on information using a segmented object centroid. Calculations are performed using the Euclidian Distance calculation method to find the shortest distance between the centroid of the bounding box and the camera. The results of this study from object distance can distinguish human objects that have crowds with the best accuracy with a measurement error of 5.7%. The research have conclusion that the main findings produced can be used to produce an accurate human crowd object recognition system that is able to provide information on the value of the object's distance to the camera when the object.
Literature Review of Artificial Intelligence in Augmented Reality for Adaptive Learning Bintang Eka Putera; Julia Fajaryanti
Jurnal Mantik Vol. 10 No. 2 (2026): August : Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v10i2.7281

Abstract

Although Artificial Intelligence (AI) and Augmented Reality (AR) have attracted increasing attention in education, their combined role in adaptive learning remains fragmented across existing studies. This review examines how AI is applied in AR-based learning environments, the benefits of AI–AR integration, and the associated challenges. The reviewed studies show that AI supports personalization through intelligent tutoring systems, adaptive feedback, learning analytics, and generative AI, while AR enhances visualization, engagement, and immersive learning experiences. This review synthesizes the complementary roles of AI and AR, highlights current research trends and gaps, and provides insights for educators and researchers developing adaptive learning environments.
Co-Authors Ary Bima Kurniawan Julia Fajaryanti Singgih Jatmiko