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Brilliance: Research of Artificial Intelligence
Published by Information Technology and Science
ISSN : -     EISSN : 28079035     DOI : https://doi.org/10.47709
Core Subject : Science, Education,
Decision Sciences, Operations Research & Management Mathematics Other
Brilliance: Research of Artificial Intelligence is The Scientific Journal. Brilliance is published twice in one year, namely in February, May and November. Brilliance aims to promote research in the field of Informatics Engineering which focuses on publishing quality papers about the latest information about Artificial Intelligence. Submitted papers will be reviewed by the Journal and Association technical committee. All articles submitted must be original reports, previously published research results, experimental or theoretical, and colleagues will review. Articles sent to the Brilliance may not be published elsewhere. The manuscript must follow the author guidelines provided by Brilliance and must be reviewed and edited. Brilliance is published by Information Technology and Science (ITScience), a Research Institute in Medan, North Sumatra, Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 544 Documents
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Effectiveness of Using ArchiCAD in Interactive 3D Visualization in Building Drawing Engineering Learning Media Syahputra, Dinur; Sandy, Cut Lika Mestika; Sukiman, T. Sukma Achriadi; Manurung, Ericky Benna Perolihin; Rizal, Reyhan Achmad
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6342

Abstract

This study aims to analyze the effectiveness of using ArchiCAD software as a tool for interactive 3D visualization in the context of learning media for building drawing engineering. Traditional methods of teaching technical drawing often rely on two-dimensional representations, which can limit students’ spatial understanding and comprehension of complex architectural forms. By integrating ArchiCAD, a Building Information Modeling (BIM)-based software, students are exposed to a more immersive and realistic learning experience, enabling them to visualize construction elements more clearly. The research employs a quasi-experimental method involving two groups: an experimental group using ArchiCAD-based interactive media and a control group using conventional methods. Data collection was conducted through pre-tests and post-tests, as well as student perception questionnaires. The results indicate a significant improvement in the learning outcomes of the experimental group, both in terms of cognitive understanding and design skills. Furthermore, student responses show a high level of satisfaction and engagement when using 3D interactive media. These findings suggest that ArchiCAD can be effectively implemented as a digital learning medium in vocational and technical education settings, especially in the field of architectural drawing. The study recommends broader integration of BIM-based tools to support competency-based learning and enhance the quality of engineering education.
Design Of Web-Based E-Report Information System For Paud At-Taqwa Using Laravel Framework Hali, Ahmad Altaf; Mansyuri, Umar; Arief, Rahadian
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6346

Abstract

Manual student report card management at PAUD At-Taqwa poses critical challenges, including significant time inefficiency in daily assessments, the high risk of physical data loss, and limited parental access to timely child development information. This research aims to design and build a web-based e-report card information system to resolve these issues by integrating the entire assessment workflow into a single, centralized digital platform. The system was developed using the waterfall model, which includes the stages of requirements analysis, system design using Unified Modeling Language (UML), implementation, and functional testing. Built with the Laravel Framework (MVC) and a MySQL database, the system's functionality was validated through black box testing. The research resulted in a functional e-report card system with three distinct, permission-based access roles: Administrator, Teacher, and Parent. The Administrator manages all master data, including user accounts and class assignments. The Teacher role is equipped with tools for the digital recording of daily student progress. A key innovation is an AI-assisted feature, powered by the Gemini API, that automatically generates draft narrative reports based on collected daily notes, significantly reducing the teacher's workload. The Parent role provides a secure portal for real-time monitoring of their child's activities and for viewing digital report cards. It is concluded that the system successfully transforms the reporting process into an efficient digital workflow, effectively improving teacher efficiency, enhancing information transparency for parents and institution.
Predicting the Number of Passengers on Electric Rail Trains (KRL) in Jabodetabek Using the ARIMA Method Fajarianto, Gama Wisnu; Ramadhani, Jelang Fikri; Kusuma, Suleman Candra; Zarkasi, Mohammad
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6347

Abstract

The growing population of the Jabodetabek metropolitan area has significantly increased the number of public transportation users, placing immense pressure on the Electric Rail Train (KRL) as a backbone of urban mobility. This surge in KRL passengers frequently results in overcrowding, adversely impacting service quality and passenger satisfaction. Previous studies have consistently highlighted this dissatisfaction, emphasizing that an adequate supply of train carriages is critical to reducing congestion. To proactively manage this issue, accurate forecasting of future ridership is essential for strategic planning. This research employs the Autoregressive Integrated Moving Average (ARIMA) method to analyze and predict passenger volume based on historical time-series data. The methodology involved testing three distinct data-splitting scenarios to identify the most robust model configuration. The evaluation results demonstrate that the ARIMA (9,1,7) model, utilizing a 90% training and 10% testing data division, provides the most superior predictions compared to the other models. This is evidenced by its consistently low error metrics, with a Mean Absolute Percentage Error (MAPE) of 6.63%. The low MAPE value confirms the model's high predictive accuracy. It is concluded that this optimized ARIMA model is a reliable tool for stakeholders, enabling data-driven decisions to improve service quality and mitigate overcrowding in the Greater Jakarta area.
Family Hope Program Recipient Determination System Using The Naive Bayes Method Irsyada, Rahmat; Cahyani, Nita; Mu’afa , M Rif’an Fawajul; Perdana , Chepy; Febriyanto, Erick
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6362

Abstract

Poverty is still a problem that Indonesian people continue to face. To achieve prosperity and social justice for all Indonesian citizens, poverty can be considered a situation where a person does not have the ability to fulfill their basic needs, such as food, shelter, clothing, has a low income, has limited access to education, and has work skills. which is inadequate. The government, as a policy maker, has made various efforts to reduce poverty, one of which is through the Family Hope Program (PKH). However, in its implementation, the distribution of PKH assistance still faces problems in terms of targeting accuracy. To overcome this problem, a system is needed that can provide recommendations about who is worthy of receiving PKH assistance. One approach that can be used is a decision support system (DSS) using the Naïve Bayes method. Naïve Bayes is an algorithm used for text classification and is a Machine Learning method that focuses on calculating probability and statistics to predict future probabilities based on past experience. With the help of SPK, this system is able to provide recommendations about who should receive assistance. PKH is based on criteria such as school children, toddlers, pregnant women, the elderly and people with disabilities. Test results using the Naïve Bayes method with Confusion Matrix calculations show an accuracy level of 75%. Next, a comparison was carried out with testing using Cross Validation, which showed an increase in accuracy compared to previous testing without using 10-fold Cross Validation.
Agile Scrum Integration In Designing Statistics Modules Hpp Reports In Applications (Ta Cashier) Ansar, Ansar; B, Isdayani.; Siswanto, Rahmat
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6378

Abstract

The advancement of information technology, especially in the development of web-based applications, has made a major contribution in improving the efficiency of business operations, including in point-of-sales (POS) systems. Based on observations and interviews conducted at the student cooperative of Muhammadiyah University of Palopo, it was found that the cashier system used did not yet have goods statistics features and cost of goods sold (COGS) reports. Therefore, this study aims to design and develop these two important modules using the Agile Scrum approach. The method used is Agile Development with the Scrum framework, which is divided into several sprints with measurable development targets. The system is developed using the Laravel framework and MySQL database. The two main modules built are (1) Goods statistics which displays the number of products sold per day, week, and month, and (2) COGS report which calculates the total cost of goods sold and profit margin based on purchase and sales data. The development results show that both modules function according to user needs. The Statistics module can display real-time data that is relevant for sales evaluation, while the COGS module is able to calculate the cost of goods sold accurately and present complete financial reports. Validation is carried out through sprint reviews and user acceptance tests (UAT), which show that these features facilitate the business decision-making process. In conclusion, the integration of the Agile Scrum method in POS application development has proven effective in building analytical features that are relevant and adaptive to the needs of MSMEs.
Performance Comparison of YOLOv10, YOLOv11, and YOLOv12 Models on Human Detection Datasets Hendriko, Viky; Hermanto, Dedy
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6447

Abstract

One popular of object detection model for object detection is You Only Look Once (YOLO) with humans are among the most often utilized for detection objects. Despite the various of human datasets, just a few research that compared the datasets performance against various versions of the YOLO algorithm. This study compares the performance of YOLOv10, YOLOv11, and YOLOv12 on eight different datasets, such as CrowdHuman, CityPersons, Wider Person, Mall Dataset, INRIA, Microsoft Common Object (MS COCO), PASCAL VOC, and MOT17. Precision, recall, mAP@50, and mAP@50-95 are used to measure the YOLO model version's performance on each dataset. The results indicate that each datasets have different perfomance on each version of YOLO, so the performance on model depends on the variation of the dataset. The best results on the MOT17 dataset are obtained by YOLOv12, with 0.909 in precision, 0.775 in recall, 0.88 in mAP@50, and 0.695 in mAP@50-95. On the City Person dataset. However, YOLOv11 performs best result, with 0.782 in precision, 0.529 in recall, 0.694 in mAP@50, and 0.476 in mAP@50-95. Therefore, choosing a YOLO version that is appropriate for the dataset's complexity is essential to creating the best detection model Therefore, selecting the appropriate YOLO version according to the dataset complexity is crucial to obtain the most optimal detection model.
Web Based Used Motorcycle Sales Information System Design at Wipa Motor Using Laravel Framework Abror, Kemal Haerul; Mansyuri, Umar; Arief, Rahadian
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6452

Abstract

This research seeks to build and develop a web-based information system for the sale of used motorcycle at Wipa Motor, a motorcycle dealer that focuses on selling used motorcycles. The problems faced are limited customer access to used motorcycle information and inefficiencies in recording transactions that are done manually. This limited access causes customers to only visit dealers or contact dealers via WhatsApp to obtain information related to used motorcycles. Meanwhile, manual transaction recording has the potential to increase the risk of errors and data loss in sales reporting. The method used in this study is the waterfall method, which includes needs analysis, system design, implementation, and testing. The data was collected through interviews with Wipa Motor owners. This research aims to develop a web-based information system that facilitates real-time access to used motorbike information and enables online transactions for costumers. This system was built using the laravel framework to automate the recording of sales transactions and the management of motorcycle stock which was previously done manually. The results show that this system is expected to improve operational efficiency, speed up the transaction process, and expand market reach. In addition, the system can improve sales data management by generating more accurate reports. In conclusion, the implementation of this web-based system can increase the effectiveness of Wipa Motor's operations, provide convenience for customers, and strengthen Wipa Motor's image as a modern dealer and adaptable to technological developments.
Implementation Of Word Embedding In Book Recommendations Based On Descriptions Putra Darmansius, Albertus Dwi Andhika; Irsyad, Hafiz
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6456

Abstract

The rapid development of digital libraries and online bookstores has increased the need for intelligent book recommendation systems that can understand user preferences and provide relevant suggestions. However, many existing systems rely on simple keyword matching or collaborative filtering, which often fail to capture the semantic meaning of complex user descriptions. This study aims to develop and evaluate a content-based book recommendation system that combines Word2Vec word embedding models with Knowledge-Based Filtering to improve the relevance of recommendations based on user-provided descriptions. The proposed system utilizes two Word2Vec architectures, Continuous Bag of Words (CBOW) and Skip-gram, to learn semantic relationships between words in book descriptions and user inputs, while Knowledge-Based Filtering incorporates explicit attributes such as publication year, genre, author, and book length to refine the results. The system was tested using a descriptive query: “a good fiction story telling a boy school at great magic school, published on 1995-1999”. The evaluation, measured by Precision@K and Recall@K at K = 5, 10, and 20, shows that CBOW outperformed Skip-gram, achieving a perfect Precision@5 of 1.00 and balanced precision and recall at higher K values, while Skip-gram exhibited more variability at small K. These results indicate that CBOW is more effective in providing stable and highly relevant recommendations at the top of the list. This research confirms that combining semantic embedding and knowledge-based approaches enhances the accuracy and flexibility of recommendation systems. Further studies can explore diverse datasets and user interfaces to broaden practical applications in digital library and e-commerce platforms.
Design of Website-Based SPP Payment System Using Payment Gateway Midtrans on PAUD At-Taqwa Maliki, Muhammad Fadel Hasan; Mansyuri, Umar; Arief, Rahadian
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6457

Abstract

PAUD At-Taqwa still uses a manual tuition payment (SPP) system, where parents must come directly to the school to make payments, and transaction records are on physical cards. This method is prone to errors, delays in reporting, and lacks accessibility. In response to these issues, this study aims to design and develop a web-based SPP payment system integrated with the Midtrans payment gateway to support both online and offline transactions. This system was developed using Laravel framework, which supports structured development and efficient web application handling. The objective is to provide a more affective and efficient payment process for both parents and administrators. The method used in this research involved analyzing the current system using the SWOT analysis approach to identify strengths, weaknesses, opportunities, and threats, which then served as the fondation for system development. The system was tested using Black Box Testing to ensure all functions worked as expected. The final product allows parents to view bills, make payment online or offline, and access digital payment receipts, while administrators can manage student data, generate bills, and view real-time reports. The results indicate that the proposed system successfully improves the efficiency and accuracy of the SPP payment process at PAUD At-Taqwa. Futher development such as mobile support could enchance the system’s accessibility in the future.
Design of Web-Based SPP Payment System with Payment Gateway at PAUD Nurul Ikhsan Ciruas Using Laravel Framework Rizkillah, Muhamad Fathin; Mansyuri, Umar; Arief, Rahadian
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6460

Abstract

The payment process for Education Development Contributions (SPP) at PAUD Nurul Ikhsan Ciruas was previously done manually, which posed challenges in terms of timeliness, accuracy, and transparency in financial recording. These limitations often resulted in delays in payment tracking, difficulties in reporting, and lack of real-time access for parents or guardians. Based on these issues, this study designed and implemented a web-based information system to support both direct and installment payments for SPP. The system includes online payment options through integration with a third-party payment gateway service, namely Midtrans. The development approach adopted in this study followed the Waterfall model, starting from the stages of requirement analysis, system design, implementation, testing, deployment, and maintenance. The resulting application provides several key features such as student data management, automatic invoice generation, installment payment tracking, payment history display, transaction receipt printing, and online payment processing connected to the Midtrans gateway. The results show that the system successfully addresses the problems identified in the manual process by improving the regularity and efficiency of payment administration. Moreover, the system offers better transparency and convenience for users, especially parents or guardians, who can now monitor and complete payments remotely and securely. This innovation contributes to digital transformation in early childhood education institutions.

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