cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Kushendarsyah Saptaji
Contact Email
kushendarsyah@sampoernauniversity.ac.id
Phone
+62215-022234
Journal Mail Official
fet.journal@sampoernauniversity.ac.id
Editorial Address
Indonesian Journal of Computing, Engineering and Design (IJoCED) Faculty of Engineering and Technology - Sampoerna University L’Avenue Office Tower, North Tower 6th Floor, Jl. Raya Pasar Minggu Kav. 16, Jakarta Selatan 12780, Indonesia
Location
Kota adm. jakarta selatan,
Dki jakarta
INDONESIA
Indonesian Journal of Computing, Engineering, and Design
Published by Universitas Sampoerna
ISSN : 26561972     EISSN : 26568179     DOI : https://doi.org/10.35806/ijoced.v1i1.31
Core Subject : Science, Art, Engineering,
Arts Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering
Indonesian Journal of Computing, Engineering and Design (IJoCED) is an international and open access peer-reviewed journal, published by Faculty of Engineering and Technology, Sampoerna University. IJoCED published original research papers, state of the art reviews and innovative projects on topics leveraging all aspects of Computing, Engineering & Design and their cross-disciplinary applications: from theory to practice. Thus, manuscripts that cover any related issues are encouraged to be submitted to IJoCED. The IJoCED is committed to providing access to quality research article in the area of Computing, Engineering & Design and the cross-disciplinary among areas for all interested readers. The IJoCED will be published two times a year in April and October. The below mentioned fields are the scope and focus for IJoCED. The IJoCED also welcomes innovative articles related any Computing, Engineering and Design fields. Computing: • Smart Embedded Computing • Data Science/ Analytics • Educational computing • Intelligent Systems & Robotics • IT and Social Change • Internet of Things • Business Information Systems • Health Information Systems • Software Engineering • Computer System & Networking • E-Commerce & E-Business • Green Computing • IS Project Management • Smart Technology • Data Analytics for Big Data • Intelligent System for Organizations • Information Security Engineering: • Bioprocess Engineering • Civil Engineering • Energy Engineering • Environmental Engineering • Geotechnical Engineering • Genetic Engineering • Industrial Engineering • Bioprocess Engineering • Industrial Engineering • Social Engineering • Physics Engineering • Chemical Engineering • Electrical Engineering • Computer Engineering • Food Engineering • Geotechnical Engineering • Chemical Engineering • Manufacturing Engineering • Materials Engineering • Engineering Education Design: • Visual Communication Design • Photography • Visual Literacy • Communication Technologies • Human-Computer Interaction • User-based Design • Digital Art • Graphics, Art, and Design • Advertising Design • Theory of Perception • User Experience
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 84 Documents
 5   6   7   8   9 
Video Projection-Mapping on Box Structures: Techniques and Applications for Immersive Storytelling Matahari, Tombak
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 7 No. 2 (2025): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/ijoced.v7i2.511

Abstract

This paper explores techniques and applications of video projection mapping on box structures to enhance immersive storytelling within an exhibition context. The study tries to find the best technical decisions for projector positioning, shadow minimization, and surface calibration through a practice-based approach. Equally important, the research focuses on visual communication strategies, including narrative development, visual style exploration, and typography optimization to ensure content readability. Using showcasing the development of the New Indonesia Nusantara Presidential Palace as a case study, this project combines scriptwriting, motion graphics, and a well-crafted two-minute storytelling sequence to engage the audience and effectively communicate architectural and developmental narratives. The findings show that the box structure, when combined with audio and well-executed motion graphics, can bring a new experience for exhibition and also serves as a new portable medium for projection mapping.  
An Optimized Trimodal Chicken Swarm Optimization and Self-Organizing Feature Map Biometric Access Control Technique Jeremiah, Yetomiwa; Adigun, Emmanuel; Ogundolie, Oluwatosin; Ogunkan, Stella; Ojo, Omotayo
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 7 No. 2 (2025): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/ijoced.v7i2.522

Abstract

Access control systems are essential tools for combating the nefarious actions of malicious actors in the digital space. Multimodal biometric access control systems are considered state-of-the-art in access control systems, however, existing approaches suffer from limited classification performance. This study integrates face, ear, and iris recognition to develop a trimodal Chicken Swarm Optimization (CSO)---enhanced Self-Organizing Feature Map (SOFM) classifier. Six high-resolution images were taken for each biometric attribute from 190 people for the study resulting in 3420 images. Preprocessing techniques such as cropping, resizing, grayscale conversion, and histogram equalization were applied to the images for uniformity. The Local Binary Patterns (LBP) technique was used for feature extraction and the resulting features were combined using the weighted average feature fusion technique. The Standard SOFM classifier was optimized using the CSO algorithm for optimal feature selection by modifying weight values. 30% of the images in the dataset were used for testing and 70% of the images in the dataset were used to train the CSO-SOFM classifier. The formulated CSO-SOFM classifier was implemented using Matlab 2016a and evaluated using metrics such as specificity, sensitivity, false positive rate, and recognition accuracy. The CSO-SOFM system obtained 98.83% accuracy, 98.83% sensitivity, 98.82% specificity, and 112.14 seconds processing time at an ideal threshold of 0.80. The findings indicate that the optimized CSO-SOFM algorithm used in this study outperformed the conventional SOFM algorithm. The  SOFM algorithm was optimized by the CSO algorithm resulting in lower false positives and processing time. The approach utilized in this study provides a veritable means of enhancing access control systems and mitigating security breaches by malicious individuals in the digital space.
Emotion Recognition in Javanese Music: A Comparative Study of Classifier Models with a Human-Annotated Dataset Septianto, Moh Erwin; Purnomo, Ariana Tulus; Lin, Ding Bing; Kim, Chang Soo
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 7 No. 2 (2025): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/ijoced.v7i2.544

Abstract

With advancements in machine learning and the increasing availability of music datasets, Music Emotion Recognition (MER) has gained significant attention. However, research focusing on Indonesian traditional music, particularly Javanese music, remains limited. Understanding emotions in Javanese music is crucial for preserving cultural heritage and enabling emotion-aware applications tailored to Indonesian traditional music. This study investigates the effectiveness of three well-established machine learning models, 1D Convolutional Neural Networks (1D-CNNs), support Vector Machines (SVMs), and XGBoost, in classifying emotions in Javanese music using a manually annotated dataset. The dataset consists of 100 Javanese songs from various genres, including Dangdut, Koplo, and Campur Sari, annotated based on the Thayer emotion model. The models’ performance was assessed using different data split ratios, with accuracy rates exceeding 70%. Among the tested classifiers, SVM exhibited the highest and most stable accuracy. 
Performance Analysis of Regular and Irregular Horizontal Multi-Story Buildings Structure Fernando, Figo; Sahputra, Deded Eka; Fatchurrohman, Nanang
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 7 No. 2 (2025): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/ijoced.v7i2.554

Abstract

This study investigates the effect of building shape on seismic performance in earthquake-prone areas such as Padang City. Using the Indonesian seismic standard SNI 1726:2019, three multi-story reinforced concrete buildings were modeled: a square (regular), a rectangular (regular), and an irregular plan. The analysis focused on internal forces, base shear, displacement, and drift ratio to evaluate differences in structural response. Results show that buildings with horizontal irregularities experience higher internal forces and displacements. The bending moments in irregular buildings are 4.84% higher than in rectangular buildings and 10.07% higher than in square buildings. Base shear is 1.53% and 3.04% higher, respectively. The maximum displacement differences reach 0.93 m (X direction) and 0.54 mm (Y direction). The average drift ratio in the X direction is about 0.56% for all models, while square-shaped buildings show smaller Y-direction drift. These findings highlight that plan irregularities significantly influence seismic performance, providing insights for safer structural design in seismic regions.

Page 9 of 9 | Total Record : 84

 5   6   7   8   9 

Filter by Year

2019 2025


Reset
Filter By Issues
All Issue Vol. 7 No. 2 (2025): IJoCED Vol. 7 No. 1 (2025): IJoCED Vol. 6 No. 2 (2024): IJoCED Vol. 6 No. 1 (2024): IJoCED Vol. 5 No. 2 (2023): IJoCED Vol. 5 No. 1 (2023): IJoCED Vol. 4 No. 2 (2022): IJoCED Vol. 4 No. 1 (2022): IJoCED Vol. 3 No. 2 (2021): IJoCED Vol. 3 No. 1 (2021): IJoCED Vol. 2 No. 2 (2020): IJoCED Vol. 2 No. 1 (2020): IJoCED Vol. 1 No. 2 (2019): IJoCED Vol. 1 No. 1 (2019): IJoCED More Issue