Article Per Year (5 Year)
p-Index From 2019 - 2024
0.444
P-Index
This Author published in this journals
All Journal Infotek : Jurnal Informatika dan Teknologi SAINTEK
Agustinus Rudatyo Himamunanto
Universitas Kristen Immanuel
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Image Tracking Berbasis AR Untuk Peningkatan Pembelajaran Buah Pada Pendidikan Anak Usia Dini (PAUD) Agustinus Rudatyo Himamunanto; Desri A.F. Waruwu; Gogor C. Setyawan
Infotek: Jurnal Informatika dan Teknologi Vol. 6 No. 2 (2023): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v6i2.16830

Abstract

The current recognition and learning system still uses magazines, books and websites. This makes the lessons of the topics taught still difficult to understand. In this study, a fruit recognition learning model was created in early childhood education based on Augmented Reality and digitalized teaching aids. Augmented Reality is a technology that embodies the merging of the real world (reality) and virtual world (virtual) where this technology is also known as Virtual Reality. The marker in the form of an image will be captured by the camera, processed and a 3D fruit animation will appear on the mobile screen. The purpose of this research is to produce a fruit recognition learning model in PAUD TK Aba Sukoharjo Kalasan based on Augmented Reality and to create digitalized teaching aids. By using Augmented Reality the application can be educational and attract interest in children's curiosity. The method used in this study is the Multimedia Development Life Cycle (MDLC). The fruit recognition application has been applied to several child respondents. Based on research trials, before there was an application for interest in learning, children learned fruit recognition with a score of 73% with the predicate agreeing. The effect of positive trends on children to learn with augmented reality learning media is shown by a score of 81% of 30 child respondents stating that the application is very effective as an increase in the recognition of fruits
Metode Subtraksi Citra Sebagai Upaya Deteksi Gerakan Tangan Haeni Budiati; Agustinus Rudatyo Himamunanto
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/SAINTEK0101.0613

Abstract

Segmentation is one of the important operations in the object recognition process. One of the well-known segmentation methods is image subtraction. This image subtraction process is carried out to separate the foreground object from the background object. Most studies use this method to segment static images. In this study, the performance of the subtraction method will be observed based on the dynamic image input of hand movements. The application of the subtraction method is used for segmentation operations based on different information on different frames with the aim of obtaining information on the hand area. The focus of this research is to compare the results of processing with the subtraction method on different types of inputs based on the nature of their constituent signals, namely analog video input (webcam) and digital video input (stored video). The success of processing on both video inputs is determined from the first segmentation processing that finds the hand area. Two test cases (various lighting levels and outdoor background) were deliberately chosen because they are closely related to the potential weaknesses of the image subtraction method. Based on the test results, it is known that the implementation of the subtraction method for analog video input (webcam) and digital video input on various tests of light and background quality which is quite complex, shows success in finding areas of moving hands. Keywords: Subtraction, Segmentation, Hand Movements
Co-Authors Desri A.F. Waruwu Gogor Christmass Setyawan Haeni Budiati