cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Akim Manaor Hara Pardede
Contact Email
jaiea@ioinformatic.org
Phone
+6281370747777
Journal Mail Official
jaiea@ioinformatic.org
Editorial Address
Jl. Gunung Sinabung Perum. Grand Marcapada Indah. Blok. F1. Kota Binjai. Sumatera Utara
Location
Unknown,
Unknown
INDONESIA
Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Published by Yayasan Kita Menulis
ISSN : -     EISSN : 28084519     DOI : https://doi.org/10.53842/jaiea.v1i1
Core Subject : Science, Engineering,
Automotive Engineering Computer Science & IT Control & Systems Engineering
The Journal of Artificial Intelligence and Engineering Applications (JAIEA) is a peer-reviewed journal. The JAIEA welcomes papers on broad aspects of Artificial Intelligence and Engineering which is an always hot topic to study, but not limited to, cognition and AI applications, engineering applications, mechatronic engineering, medical engineering, chemical engineering, civil engineering, industrial engineering, energy engineering, manufacturing engineering, mechanical engineering, applied sciences, AI and Human Sciences, AI and education, AI and robotics, automated reasoning and inference, case-based reasoning, computer vision, constraint processing, heuristic search, machine learning, multi-agent systems, and natural language processing. Publications in this journal produce reports that can solve problems based on intelligence, which can be proven to be more effective.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 6 Documents
 1 
Search results for , issue "Vol. 5 No. 1 (2025): October 2025" : 6 Documents clear
Detection of Rotten Fruits at Pomona Fruit House Using the Convolutional Neural Network Method Kosasih, Ferly; Hendri; Hendrik, Jackri
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 1 (2025): October 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i1.1705

Abstract

The growing public awareness of healthy lifestyles has led to an increasing demand for fresh and high-quality fruits. However, during storage and distribution, fruits are prone to spoilage due to environmental and biological factors. The manual identification process of spoiled fruits remains limited in terms of accuracy and efficiency. To address this issue, this study proposes the application of digital image processing technology based on Convolutional Neural Network (CNN) to automatically detect the condition of fruits. This system is designed to assist in quality monitoring at locations such as Rumah Buah Pomona by classifying fresh and spoiled fruits based on their visual features. This solution is expected to improve the effectiveness of fruit distribution and reduce potential losses caused by unfit products.
Handwritten Batak Toba Script Recognition Based on Deep Learning Using the Convolutional Neural Network (CNN) Algorithm Samosir, Wahyu Ardiantito; Zulfahmi Indra; Insan Taufik; Susiana
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 1 (2025): October 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i1.1795

Abstract

The Batak Toba script is one of Indonesia’s cultural heritages that has become increasingly rare and less recognized among younger generations. This research aims to develop a handwriting recognition system for Batak Toba characters using the Convolutional Neural Network (CNN) method, capable of accurately recognizing characters, transliterating them into Latin script, and translating them into Indonesian. The dataset was self-generated using the Noto Sans Batak font and character combinations, totaling 113 labels, which were processed into 64×64 grayscale images. The CNN model was designed with several convolutional and pooling layers and compiled using the Adam optimizer and categorical cross-entropy loss function. Training results achieved a validation accuracy of 98.36% and a testing accuracy of 98.12%, with respective loss values of 0.0268 and 0.0295. The system was then integrated into a web-based application built as a Progressive Web App (PWA), supporting both online transliteration and translation features. These results demonstrate that the CNN approach is highly effective in recognizing Batak Toba characters. In the future, the system can be further developed into a full sentence-level OCR, integrated into a native Android application, and expanded with datasets from real handwritten samples.
User Satisfaction Analysis on the Quality of Lapisbogor.co.id Website using the Webqual 4.0 Method Moses Aripin Indah Setiawan; Kudiantoro Widianto; Syaifur Rahmatullah AR; M. Iqbal Alifudin; Irmawati
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 1 (2025): October 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i1.1797

Abstract

Website quality is a vital element for the sustainability and customer satisfaction within the digital business landscape, especially for prominent brands like Lapis Bogor Sangkuriang that rely on an online presence. This study was designed to investigate the impact of website quality, measured by WebQual 4.0 (encompassing Usability Quality, Information Quality, and Service Interaction Quality), on user satisfaction with the lapisbogor.co.id website. A quantitative approach was applied through the dissemination of questionnaires to 150 respondents who are users of the Lapis Bogor Sangkuriang website. Regression analysis results indicate that all three WebQual 4.0 dimensions collectively have a significant influence on user satisfaction. This finding suggests that the website quality of Lapis Bogor Sangkuriang has successfully met user expectations, with website quality variables contributing approximately 58% to the perceived satisfaction level. Therefore, this research recommends that Lapis Bogor Sangkuriang continue to invest in monitoring and improving its website quality. Continuous efforts in optimizing the WebQual 4.0 dimensions will be crucial for maintaining a positive user experience and strengthening the company's competitive position in the market.  
Bus Scheduling Simulation on Urban Routes Using Discrete Event Simulation Approach Meliala, Najwa Aulia; Ferdiansyah Prayoga; Muhammad Kurniawan; M. Khalil Gibran
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 1 (2025): October 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i1.1798

Abstract

Efficient bus scheduling is a crucial element in urban transportation systems. This study aims to simulate a bus scheduling system on an urban route using the Discrete Event Simulation (DES) approach. The simulation models bus movement, passenger arrivals, and waiting times at each stop. The system consists of five bus stops and three buses operating on a fixed schedule. The simulation results indicate that passenger waiting times vary significantly across stops. The first stop shows the lowest waiting time, while mid- and end-route stops experience cumulative delays. The average waiting time can exceed 60 minutes at certain locations. Alternative scenarios involving additional buses show a notable decrease in waiting times and a significant improvement in scheduling efficiency. This study demonstrates that DES is an effective method for evaluating and designing adaptive and efficient transportation systems in urban environments.
Implementation of Artificial Intelligence (AI) Role-Based NormalizationMap of Demographic Data of Prospective Students of SD Al-Imam Islamic School (AI IS) Bajsair, Faik
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 1 (2025): October 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i1.1799

Abstract

This research examines the application of rule-based Artificial Intelligence (AI) to address demographic data inconsistency among prospective students at SD Al-Imam Islamic School. Unstructured applicant data, particularly in the village/sub-district address column, often impedes efficient analysis and strategic decision-making. By implementing a dictionary-based normalization technique (normalizationMap) using Google Apps Script, this study aims to enhance data quality and minimize input inconsistencies. The role-based approach ensures that various input formats are mapped to a predefined standard. The implementation results demonstrate a significant improvement in the accuracy of the address data, directly supporting more precise demographic visualization. This practical and effective AI solution facilitates data-driven decision-making for future student enrollment strategies, showcasing a tangible contribution to data management within a limited-resource educational environment.
Implementing Virtual Reality and the Metaverse to Preserve the Culture of the Baileo Negeri Rutong House, Maluku Patty, Joanna Cristy; Valensya Yeslin Tomasoa; Lowry Hahijary
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 1 (2025): October 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i1.1801

Abstract

This research was conducted to introduce the Baileo Traditional House of Negeri Rutong, located in Ambon City, Maluku Province, which holds significant philosophical, religious, historical, and cultural values. Maluku, one of the provinces in Indonesia, is rich in diverse cultural heritage, including the philosophy of the Baileo Traditional House in Negeri Rutong. Baileo is a traditional communal house in Maluku, playing a central role in the local community's life. This traditional house needs to be preserved so that it can become a world attraction and a valuable cultural heritage for future generations. The purpose of this research is to develop Virtual Reality (VR) and the Metaverseas suitable media to introduce the Baileo traditional house to the world and to study the effectiveness of these media in preserving and conserving the traditional house. A design-based approach is used in this research to ensure that the development of VR and the Metaverse is conducted properly and effectively. The research stages include problem identification and needs assessment, planning and design, system development, evaluation and implementation, as well as maintenance and further development.

Page 1 of 1 | Total Record : 6

 1 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol. 5 No. 2 (2026): February 2026 Vol. 5 No. 1 (2025): October 2025 Vol. 4 No. 3 (2025): June 2025 Vol. 4 No. 2 (2025): February 2025 Vol. 4 No. 1 (2024): October 2024 Vol. 3 No. 3 (2024): June 2024 Vol. 3 No. 2 (2024): February 2024 Vol. 3 No. 1 (2023): October 2023 Vol. 2 No. 3 (2023): June 2023 Vol. 2 No. 2 (2023): February 2023 Vol. 2 No. 1 (2022): October 2022 Vol. 1 No. 3 (2022): June 2022 Vol. 1 No. 2 (2022): February 2022 Vol. 1 No. 1 (2021): October 2021 More Issue