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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 Articles sent to the Brilliance may not be published elsewhere.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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Advancing Voice Anti-Spoofing Systems: Self-Supervised Learning and Indonesian Dataset Integration for Enhanced Generalization Prihasto, Bima; Nur Farid, Mifta; Al Khairy, Rafid
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5182

Abstract

This study examines how self-supervised learning and a novel Indonesian language dataset enhance anti-spoofing systems. Results show improved model performance, with a lower Equal Error Rate (EER) during training, indicating effective learning from diverse audio samples. Using weighted cross-entropy analysis highlights the model's robustness in minimizing training errors. Comparisons with baseline models using English data reveal the proposed approach's superiority, achieving a significantly lower EER due to the incorporation of language-specific data. The unique phonetic features of Indonesian languages provide valuable training material, boosting the system's defence against spoofing attacks. The dataset improves generalization across dialects and recording conditions by including diverse speech samples. This integration enhances the anti-spoofing systems' adaptability, which is vital for real-world applications where recording variability affects performance. The experimental setup used a balanced dataset of genuine and spoofed utterances from male and female speakers, ensuring high-quality input. The training configuration splits the dataset into training, development, and testing sets on a high-performance computing setup. Results showed the proposed model achieved an EER of 0.33, compared to 7.65 for the traditional sinc-layer model and 0.82 for the wav2vec 2.0 model with English data. Overall, this research advances anti-spoofing solutions and emphasizes the need for diverse datasets and advanced learning approaches to improve automatic speaker verification systems in practical applications. The incorporation of the Indonesian dataset is vital for addressing linguistic diversity challenges in biometric security, paving the way for future advancements in this area.
Improving Multiclass Rainfall Prediction with Multilayer Perceptron and SMOTE: Addressing Class Imbalance Challenges Cahyani, Nita; Putri, Wardiana Adinda; Irsyada, Rahmat
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5203

Abstract

Rainfall is a key climate element that affects weather patterns and human activities, especially in agriculture and daily life. Therefore, accurately classifying rainfall is crucial for predicting future rainfall amounts. This study uses the Multilayer Perceptron (MLP) classification method, a neural network algorithm, to classify rainfall. The dataset, sourced from the BMKG website, has a class imbalance, requiring using the SMOTE (Synthetic Minority Over-sampling Technique) technique. The research compares the performance of MLP with and without SMOTE. The results show that the best model was achieved with SMOTE. MLP without SMOTE achieved an accuracy of 75%, sensitivity of 40.34%, specificity of 86.15%, and an AUC of 63.25%. In comparison, MLP with SMOTE achieved an accuracy of 71.27%, sensitivity of 71.14%, specificity of 90.30%, and an AUC of 80.72%. Although accuracy decreased, the overall evaluation, particularly the AUC, improved significantly. Therefore, the SMOTE technique effectively addresses the class imbalance issue in rainfall classification.
Innovation of an Expert System for Diagnosing Allergic Diseases in Children using the Web-based Certainty Factor Method Irsyada, Rahmat; Cahyani, Nita; Badriyah, Lailatul
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5204

Abstract

In this modern era, the development of computer technology has increased so rapidly. Currently the computer is a tool in helping to overcome all the problems encountered by humans, including in the field of health. With the existence of technology, of course, it will greatly facilitate the community to get health services and consultations. One of the technological developments is an expert system. An expert system is a branch of artificial intelligence (Artificial Intelligence), which is an application designed to use a computer that tries to imitate the reasoning process of an expert or expert in solving specific problems and making decisions or conclusions because to solve a problem and save it. in the knowledge base for processing. This expert system was created to assist experts in deciding diseases based on existing symptoms. The Certainty Factor method is a theory that can be used to solve uncertainty problems. Certainty Factor (CF) is a value to measure expert confidence. Certainty Factor was introduced by Shortliffe Buchanan in making the MYCIN expert system to show the amount of trust. This method can work well when there are problems that start from gathering and then gathering information and then being able to find conclusions that can be drawn from that information. The Certainty Factor method will be applied to accurately determine allergic health in children. If this method is applied, it can minimize the presence of allergic diseases suffered by dangerous children. And when you have an allergy, it can be treated immediately.
Optimizing Public Services through Industrial Work Practice Management Applications Using Extreme Programming Methods Azis, Muh Nur Luthfi; Hapsari, Ayunda Nur
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5213

Abstract

Industrial work practice or industrial Internship is applying knowledge and skills to solve real problems. It becomes one of the efforts to improve the quality of human resources in an agency or company. Managing the industrial Internship at PT Artha Abadi is still being carried out using physical documents. This allows errors to occur in recording Industrial Internship data and documents. This study aimed to overcome existing problems so that the management of Industrial Internship activities at PT Artha Abadi is more systematic, organized and efficient. The method used in creating this system is the Extreme Programming method which aims to increase effectiveness and efficiency in the software development process. The Industrial Internship Management Application is built using the Laravel framework and MySQL as its database. The tools used to create this system are XAMPP as a database server and Visual Studio Code for a text editor, in system testing using Black Box Testing to test the software's functionality. Testing shows that the Industrial Internship Management Application does not experience system errors or bugs. The results of this study show that the application is built according to the main objectives and is ready to be implemented so that the Industrial Internship at PT Artha Abadi runs more systematically, organized, and efficiently.
Designing User Experience Website for Culinary MSMEs Using Participatory Design Method Julianti, Sukma; Siregar, Herbert; Anisyah, Ani; Rasim, Rasim
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5313

Abstract

The advancement of digital technology serves as a pivotal driver of business transformation across various sectors, including Micro, Small, and Medium Enterprises (MSMEs). This technology provides innovative solutions to enhance operational efficiency, broaden market reach, and improve customer experiences. However, the adoption of digital technology remains inconsistent among MSMEs, as evidenced by the case of Baso Jewol Gandasari. This research aims to develop a dedicated website tailored to this MSME to facilitate digitalization, simplify order management, and expand market share. The study employs a User Experience (UX)-driven design methodology utilizing Participatory Design, which actively involves business owners and customers in the feedback collection process to ensure that the developed features align with user needs. The evaluation process was conducted using the User Experience Questionnaire (UEQ) and the System Usability Scale (SUS), engaging 30 respondents for UEQ and 29 respondents for SUS. The findings reveal UEQ scores of 2.33 for attractiveness, 2.40 for perspicuity, 2.30 for efficiency, 1.96 for dependability, 2.16 for stimulation, and 1.88 for novelty. Additionally, the average SUS score of 83 is categorized as “Excellent”, signifying a high level of user satisfaction with the website. This research makes a significant contribution by offering digitalization solutions for MSMEs, enhancing operational efficiency, and fostering positive user experiences. Future studies are recommended to incorporate additional features, such as marketing analytics and personalization, to comprehensively address the evolving needs of MSMEs.
Analysis UI Website Design Based on Local Wisdom Visual for Green Economy Education on Javara Website Yulianto, Arief; Gunawan, Dany Kurnia; Putri, I Gusti Ayu Agung Aristi; Keban, Kwirinov Kuma; Khaer, Ananda Fiky Dibanu
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5375

Abstract

This research analyzes the local wisdom-based user interface (UI) design on Javara Indonesia's website to support green economy education. A qualitative approach with case study method was used to explore the impact of visual elements, such as color, typography, and traditional patterns, in raising users' awareness of sustainability. Data was collected through in-depth interviews and participatory observation to identify the most effective design elements. Results show that the integration of local elements not only strengthens cultural identity, but also increases user engagement and supports digital economic literacy. In addition, the potential use of interactive technologies, such as augmented reality (AR), was identified to enrich the user experience. This research makes an important contribution to the visual communication design literature by emphasizing the importance of culture-based approaches in promoting sustainability. However, limitations of the research include the limited scope of a single case and the need for quantitative studies to further support the results. Recommendations include expanding the integration of innovative technologies and exploring cross-sector study objects to increase the impact of research on sustainable design.
Designing a Modern Web Interface with Vue.js and Tailwind for University Information System Perdana, Fhadiel Putra; Supratman, Edi; Saputra, Dhimas Rosanto
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5409

Abstract

The development of responsive, efficient, and maintainable web applications is a critical challenge in modern web development. This study presents the design and development of a tracer study information system for Bina Darma University using Vue.js and Tailwind CSS. The system focuses on three key components: responsive web design, pagination for managing large datasets, and reusable components implemented with Vue.js slots. By integrating Tailwind CSS, the system achieves a highly adaptive interface optimized for various devices, ensuring a seamless user experience. The implementation of Vue.js-based pagination significantly improves the management of alumni questionnaire histories in the admin interface, enhancing navigation and performance. Additionally, the use of Django pagination complements this by efficiently handling server-side data management, allowing for smooth transitions between pages and reducing load times for large datasets. This dual approach to pagination ensures that both client-side and server-side data handling are optimized for performance. Furthermore, the use of Vue.js slots for component reuse allows for tailored functionalities across different interfaces, reducing redundancy and improving code maintainability. The results demonstrate that adopting modern frameworks like Vue.js and Tailwind CSS, alongside robust backend solutions like Django, can streamline development, reduce effort, and enhance application efficiency. This study provides a scalable solution that can be adapted for similar academic systems, offering insights into best practices for contemporary web application development.
Design And Development Of A Backend System For Monitoring And Controlling Smart Agriculture Febrianti, Maria Shusanti; Marzuki, Marzuki; Agustina, Dian Resha; Prasetyo, Aldi
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5462

Abstract

This study aims to build a system to manage temperature, pH, nutrient, and water availability sensor data for plants in smart agriculture. This is done so that the data sent by the sensor can be managed and stored properly. So that the data can be used for monitoring and controlling later. This study uses a waterfall model. Waterfall is often used to build a software system. The system that has been built needs to be tested. Based on the coding results, the system has two services. The first service handles user data, tools, plants, tool sets, and planting settings. The second service will hold the data that the tool sends to RabbitMQ. The results of the first service test run well, where every request sent by the client can be processed, and a response is returned as a request. In service, in two tests, some services ran fine. Where the data is successfully sent to the client side in real-time; however, when consuming and getting real-time data, it needs to be underlined; if getting real-time data is done when the JSON file is empty, it will return null. This may cause data delays to the client. The monitoring process will be a little late.
System Information Sales At The Bayeprive Boutique In Serang City Are Web-Based Using The Laravel Framework Rohaimudin, Iim; Auliana, Sigit; Aryono , Gagah Dwiki Putra
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.v5i1.5872

Abstract

The development of information technology offers significant opportunities to support business efficiency, including in the retail sector, such as clothing boutiques. The Baye Prive boutique in Serang City still uses a manual system for its sales operations, which causes various obstacles such as recording errors and limited market reach. This study aims to design a web-based sales information system to simplify the transaction process, stock management, and real-time reporting. The Laravel framework was chosen because of its ability to build structured applications with a Model-View-Controller (MVC) approach. The system development method used is the Waterfall model, starting from the requirements analysis stage to the maintenance stage. The developed system provides key features such as a product catalog, shopping cart, payment, and reporting dashboard. This system is accessible to both admins and customers, supporting the digitalization of the sales process and expanding marketing reach beyond the region. The implementation of this system is expected to improve efficiency, accuracy, and customer service. The results show that the designed system successfully overcomes the weaknesses of the manual system and provides an effective digital solution for the boutique's needs.
Design of Web-Based Badminton Court Reservation System for Graha Pancasila Pandeglang Using Laravel Framework Winata, Adi; 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.v5i1.5886

Abstract

The manual reservation system at Badminton Graha Pancasila Pandeglang often led to inefficiencies, including overlapping bookings, data recording errors, and difficulties in tracking payment history. These issues created the need for a structured, digital solution to manage reservations, user data, and transactions more effectively. This research aims to design and develop a web-based badminton court rental system that streamlines the booking process while enhancing accuracy and user convenience. The system was built using the Laravel framework and MySQL as its database, following the Waterfall development model. Black-box testing was used to validate all system functionalities. The core features include user registration with email verification, login, real-time court booking, cart and checkout process, digital payment integration using Midtrans, and booking history tracking. An admin dashboard was also implemented to monitor transactions, booking data, and user management. The testing results show that each feature works according to its functional requirements, with all tested cases returning successful results. The implementation of this system significantly improves operational efficiency, transparency, and user experience compared to the previous manual process. However, some limitations remain, such as the lack of real-time notifications and mobile optimization, which are recommended for future development. Overall, the system meets the research objectives and demonstrates the benefits of applying digital solutions to local sports facility management

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