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All Journal Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Journal of Applied Engineering and Technological Science (JAETS) International Journal of Electrical, Energy and Power System Engineering (IJEEPSE)
Devi Willieam Anggara
Universiti Teknologi Malaysia
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Digitalisasi Mumifikasi Suku Dani Di Papua Menggunakan Teknologi Augmented Reality Berbasis Android Anggara, Devi Willieam; Dahliyusmanto, Dahliyusmanto
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 5 (2018): Edisi 2 Juli s/d Desember 2018
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

Bubula tribe or usually known as Dani tribe is a tribe in Papua, which has an unique culture named mummification culture of family’s member body. It is a rare culture which needs to be preserved. To introduce this culture, video with Augmented Reality (AR) technology is used. Markers is used in a AR technology to distinguish each video will be played. Using technology of Augmented Reality marker / marker based on tracking technology has several stages to develop. Such as, collecting data documentation video from about it’s history obtained from Technical Executing Unit (UPT) Museum Loka Budaya from Universitas Cendrawasih Papua, Indonesia. Cutting and compressing video size, designing marker and uploading marker, designing application interface, designing Augmented Reality technology into Android package format (APK). To design are next steps need to be done this application need some tools Unity 3D, Adobe Photoshop, Adobe Premier, Vuforia SDK, and Android SDK were needed. This research produces applications based on Android using Augmented Reality Technology (AR) as a media to display video. It can be done by scanning marker using Smartphone, so user can see video about Dani culture happily.Keywords : Augmented Reality, Marker Augmented Reality, Marker Based Tracking, Dani Tribe, Bubula Tribe
A Machine Learning Model for Determination of Gender Utilizing Hybrid Classifiers Dewi Nasien; M. Hasmil Adiya; Yusnita Rahayu; Dahliyusmanto Dahliyusmanto; Erlin Erlin; Devi Willieam Anggara
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i1.1839

Abstract

One part of forensic anthropology involves investigating skeletal remains to identify corpses, and many of these remains were found incomplete, burned, broken, or destroyed, making investigation challenging. This study aims to use the pelvis and femur to identify the gender of skeletal remains. The pelvis and femur have previously been proven to be accurate indicators of a corpse's gender. The identification process is done through the measurement of the subpubic angle of the pelvis and the angle taken straight down from the top of the femur to the patella and then straight up. The two measurements were combined using the principal component analysis (PCA) method into two attributes on the x and y axes. These attributes were later used as data for the machine learning model design. The design process consisted of an Artificial Neutral Network (ANN) design model and Support Vector Machine (SVM) design model combined into a hybrid machine learning system. The ANN and SVM hybrid machine learning were tested with acquired data. The result of the test using the confusion matrix showed 83.33% accuracy, which is categorized as "good classification" based on Area Under the Curve (AUC).
Marker Quality Improvement in Augmented Reality Using Grey-scale Method Dahliyusmanto; Omar, Mohd Nizam; Anggara, Devi Willieam; Hamdani, Eddy; Anto, Budhi; Isnaini, Zuli Laili
International Journal of Electrical, Energy and Power System Engineering Vol. 2 No. 1 (2019): International Journal of Electrical, Energy and Power System Engineering (IJEEP
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (686.399 KB) | DOI: 10.31258/ijeepse.2.1.15-21

Abstract

Augmented Reality (AR) is a technology which combines the real world and virtual world, where users can feel the interaction between the two worlds. Marker Augmented reality or known as marker-based tracking technique uses a marker as media to display this technology. The marker is used as an object that contains images with unique patterns to identify each different object. Because it has a unique pattern, not any objects can be used as a marker. In Vuforia SDK, image recognition is done using a grayscale technique to search for angular features of the pixel image. If the image was taken directly using the camera in the old times in the form of Black and White (BNW), it has bad quality and most likely cannot be used as a marker because it has a few features. In BNW images taken directly from the camera, the Vuforia SDK detects only a few features in the image. This journal explains how the technique of making a BNW image into a marker can be detected by Augmented Reality Technology.
Co-Authors Adiya, M. Hasmil Budhi Anto Dahliyusmanto, Dahliyusmanto Dewi Nasien Erlin Hamdani, Eddy Omar, Mohd Nizam Yusnita Rahayu Zuli Laili Isnaini