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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 Articles sent to the Brilliance may not be published elsewhere.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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Medical Record Information System Testing Using User Acceptance Testing to Determine System Quality Budisaputro, Crismantoro; Anardani, Sri; Riyanto, Slamet; Kusdwiadji, Agustinus
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.4451

Abstract

Software testing is needed to find errors so that it can be ensured that the system works as expected. A software test that is not implemented seriously will have an adverse impact and cause various problems when used by end users. The learning process for STIKES Bhakti Husada Mulia Madiun medical record students includes practicum activities where students practice using the medical record system (SimRS) provided in the laboratory. SimRS was created to fulfill its function as a medium for student practical learning. However, in the process of implementing SimRS it is still unknown whether the system used is in accordance with students' practicum needs or not. Testing in this research uses User Acceptance Testing, namely testing 3 aspects consisting of software engineering test aspects, system functional tests, system visual tests by distributing questionnaires to 30 student respondents. Tabulated results of questionnaire calculations using the approach from Aydin & Tasci. The tabulation results show that for tests related to software engineering (RPL) the average score is 4.36, which means ready to go ahead or ready to continue. For tests related to system functionality, the average score is 4.40, which means ready go ahead or ready to continue. For tests related to the visual system, the average score was 4.35, which means ready to go ahead or ready to continue.
Intern Placement and Monitoring System at SMK YP Gajah Mada Palembang Faridiansyah, M.Faridiansyah; Irawan, Dedi; Purnamasari, Susan Dian; Suyanto, Suyanto
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.4473

Abstract

In today's technological era, web-based solutions are essential for optimizing the distribution of internship placements. The current manual processes can lead to issues such as placement delays and difficulties in data collection. This research proposes the implementation of a web-based system to streamline the internship program at SMK YP Gajah Mada, focusing on developing an efficient and user-friendly platform. The objective of this research is to build a web-based internship placement and monitoring system at SMK YP Gajah Mada Palembang. The methodology used in this study is Rapid Application Development (RAD), an alternative to traditional system life cycles. The implementation of this system is expected to improve placement processes, enhance data management, and provide a more effective way to monitor and support interns throughout their program. The results of the research indicate that the web-based system significantly reduces placement delays, facilitates data collection, and offers a structured approach to monitoring and managing internship activities.
Integrated Community-Based Disaster Response Information System: A Case Study of the Subang Regency BPBD Iqbal, Mohammad; Febriyanto, Erick; Irsyada, Rahmat
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.6985

Abstract

Subang Regency is an area highly prone to natural disasters such as floods, landslides, and strong winds. In emergency situations, the absence of an efficient and integrated reporting system greatly hinders Badan Penanggulangan Bencana Daerah (BPBD) in carrying out rapid responses, evacuations, and aid distribution. If not addressed promptly, public safety and the effectiveness of disaster management will remain at risk. Therefore, a disaster mitigation application system is needed that allows the community to quickly report disasters through photos, videos, and descriptions directly integrated with the BPBD dashboard. This application is equipped with multi-channel notifications via WhatsApp, SMS Gateway, and alarms, as well as an AI-based heatmap analytics system to predict potential disasters using historical data and weather information from BMKG. In addition, BPBD administrators can verify disaster reports by checking personal biodata linked to the reporter’s account. The system development method applied is Agile Development, which includes observation, planning, design, development, testing, and deployment, enabling intensive collaboration and rapid system iterations based on field feedback. With this system, BPBD Subang is expected to be more responsive and resilient in facing disasters.
Analysis Of Tokopedia Product Clustering Using The K-Means And K-Medoids Algorithms Malik, Raihan; Utomo, Pradita Eko Prasetyo; Hutabarat, Benedika Ferdian
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.6992

Abstract

The Indonesian e-commerce market has experienced extraordinary growth, driven by increasing internet penetration and smartphone adoption, which necessitates advanced data analysis for competitive advantage. Clustering is a crucial data mining technique used to group products based on similar characteristics, providing in-depth insights into product performance. Previous studies often focused on single performance metrics, overlooking the nuances of combining multiple variables. This study aims to address this gap by implementing and comparing the K-Means and K-Medoids clustering algorithms on Tokopedia product data using a combination of numerical attributes: Price, Customer Rating, Number Sold, and Total Review. The methodology involved data preprocessing, Min-Max Scaling for normalization, and using the Elbow Method to determine the optimal number of clusters, which was found to be K=2. The clustering quality was rigorously evaluated using the Davies-Bouldin Index (DBI) and Silhouette Score. The results demonstrate that K-Means exhibits superior performance, achieving a lower DBI of 0.5717 and a higher Silhouette Score of 0.6012, compared to K-Medoids (DBI: 0.5870; Silhouette Score: 0.5857). Furthermore, K-Means proved significantly more efficient computationally, with an execution time of 0.0947 seconds versus 0.1622 seconds for K-Medoids. The main conclusion is that K-Means is more effective in creating compact and clearly separated clusters. This research contributes a valuable analytical framework for e-commerce managers to comprehensively understand product profiles, guiding more effective marketing and recommendation strategies.
Application of Ant Colony Optimization on CVRP for Waste Collection Route Optimization in Marga Village Arimbawa K, Ida Bagus Kade Puja; Novitasari, I Gusti Ayu; Permana, Putu Nanda Andika
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7006

Abstract

Marga Village, located in Marga District, Tabanan Regency, faces significant challenges in waste management due to the absence of a structured schedule and route for waste collection, leading to inefficiencies, high operational costs, infrastructure risks, and public health concerns. These issues are further exacerbated by population growth and spatial expansion, which continually increase waste volume. This study aims to optimize waste collection routes in Marga Village by applying the Capacitated Vehicle Routing Problem (CVRP) approach using the Ant Colony Optimization (ACO) algorithm to identify the most efficient and sustainable shortest route. The simulation considered two main constraints: a maximum vehicle capacity of 1.2 m³ and an average waste volume per point ranging from 0.04 to 0.2 m³, ensuring load feasibility. The model was tested with 10 ants over 10 iterations, with temporary disposal points located at a? (Banjar Lebah) and c? (Banjar Beng) before transportation to TPS3R. Algorithm parameters were set at ? = 1.0 for pheromone influence and ? = 5.0 for visibility, while the pheromone evaporation rate (?) was set to 0.5 and Q = 100 was used to reinforce optimal paths. The results demonstrate that ACO can effectively solve CVRP in waste collection, offering a data-driven solution to improve route efficiency and support sustainable urban waste management planning.
Antipodal Vivaldi Array Antenna for LoRa: A Simulation Study within 900–923 MHz Band Herda, Deri Latika; Yolanda, Amelia; Naz Surya, Gardinia; Septima, Uzma; Maria, Popy
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7013

Abstract

LoRa (Long Range) is a wireless communication technology that has gained significant attention in the Internet of Things (IoT) due to its wide coverage and low power consumption. However, its performance is often affected by environmental obstacles that cause signal attenuation and interference. In Indonesia, LoRa is regulated to operate in the 920–923 MHz band, whereas many commercial devices are designed for 915 MHz, leading to suboptimal antenna performance. Therefore, this research aims to design and simulate an antenna that can operate effectively across 900–923 MHz, covering both the commonly used 915 MHz band and the regulated 920–923 MHz band in Indonesia. The proposed design is a 1×2 Antipodal Vivaldi Array antenna using an FR-4 substrate with a dielectric constant of 4.3 and thickness of 1.6 mm. The simulation process was conducted using CST Studio Suite 2019, focusing on the optimization of key geometric parameters such as feedline width, inter-element spacing, flare structure, and ground plane. The simulated results show that the antenna achieves a return loss of –19.11 dB at 923 MHz, a bandwidth of 344.4 MHz, and a gain ranging from 5.103 dBi at 900 MHz to 5.162 dBi at 923 MHz. The radiation pattern is directional, which supports long-range communication requirements. These findings demonstrate that the proposed antenna design meets the specifications for LoRa communication and provides a wideband, directional solution that can enhance the reliability of IoT systems.
Semantic FAQ Chatbot Using SBERT (Sentence-BERT) and Cosine Similarity for Academic Services Holis, Rahul Marcellino; Utomo, Pradita Eko Prasetyo; Hutabarat, Benedika Ferdian
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7027

Abstract

Handling repetitive inquiries in academic environments requires significant time and human resources, potentially delaying service delivery. This study developed a semantic FAQ chatbot using Sentence-BERT (SBERT) and Cosine Similarity to improve efficiency and consistency of academic information services at Universitas Jambi. The system encodes user queries into dense vector embeddings and compares them with FAQ entries using cosine similarity. A dataset of 65 frequently asked questions was collected through interviews and direct observation with students, lecturers, staff, and helpdesk officers. To evaluate semantic understanding, these entries were expanded into 130 question variations using paraphrasing. Model performance was measured with a confusion matrix and standard metrics. At a similarity threshold of 0.5, the system achieved 79.2% accuracy, 81.7% precision, 96.3% recall, and an F1-score of 88.4%. The results show that SBERT effectively identifies semantically similar questions with different wordings, handling both formal and informal Indonesian queries. High recall demonstrates that most relevant questions were successfully retrieved, while precision remains sufficient to ensure reliable responses. This study demonstrates that SBERT-based semantic matching can successfully handle Indonesian academic FAQ with diverse linguistic variations, enabling 24/7 accessibility and consistent service delivery independent of staff availability. Future work should expand the dataset to include emerging queries and conduct pilot deployment to validate operational effectiveness and user satisfaction
Analysis and Design of E-Report Card System at SMAN 6 Muaro Jambi Using SSAD Safitri, Shela; Hutabarat, Benedika Ferdian; Lestari, Dewi
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7029

Abstract

Manual management of report cards at SMAN 6 Muaro Jambi often leads to recording errors, data loss, and limited access to real-time academic information, which hinders effective communication between schools, teachers, students, and parents. This study aims to analyze and design a web-based E-Report Card system using the Structured System Analysis and Design (SSAD) method as a structured and reliable solution to these challenges. The SSAD approach was applied through several stages, including problem identification, requirement analysis, system design using Data Flow Diagrams (DFD), Entity Relationship Diagrams (ERD), and wireframes, followed by prototype evaluation through usability testing. The evaluation process utilized Maze as a usability testing tool to assess the system’s interface performance using the Mean Adjusted Usability Score (MAUS). The analysis results produced a system design that features structured data flow, an integrated database, and an interactive user interface prototype tailored to stakeholder needs. The usability testing results indicated the highest MAUS score for Students/Parents users (93), while Subject Teachers obtained the lowest score (67), suggesting the need for interface improvement for better task efficiency. Overall, the designed web-based E-Report Card system demonstrates the potential to overcome inefficiencies in manual report card management while enhancing accuracy, transparency, and accessibility of academic information in schools.
Information System For Recording Teacher Activities And Student Achievements At Smk Negeri 1 Suak Tapeh Sutrisna, Rangga; Sanmorino, Ahmad; Heryati, Agustina
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7063

Abstract

This study aims to develop a web-based information system for recording teacher activities and student achievements at SMK Negeri 1 Suak Tapeh. The background of this research lies in the school’s previous manual data management method using Microsoft Word and Excel, which often caused inefficiency and data loss. The objective is to create a structured and accessible system that improves the accuracy, transparency, and accountability of institutional data management. The system was developed using the Agile Scrum methodology to ensure iterative development and continuous user involvement. PHP was used as the main programming language, MySQL as the database, and Tailwind CSS for responsive interface design. The system integrates five user roles Operator, Teacher, Head of Administration, Principal, and Vice Principal each with specific access privileges according to their institutional responsibilities. Black-box testing was applied to evaluate system functionality, focusing on the accuracy of input and output processes. The results show that all system modules, including activity submission, approval workflow, achievement management, and report generation, functioned as expected and met user requirements. The system successfully replaced the manual process with a digital platform that enhances efficiency and transparency. Furthermore, it provides real-time access through responsive web design across desktop and mobile devices. Future improvements may include integrating data analytics, notification systems, and enhanced security layers to support the school’s digital transformation.
Comparison of Two Linear Regression Models for Predicting the Literacy Development Index in Indonesia Wardani, Iffatu; Jiwandono, Kunto; Pradanti, Okta Dyah; Winjarwati, Yuni Wahyu; Aghashie, Stevano Aji
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7083

Abstract

This study examines four suspected factors that have correlation and influence Community Literacy Development Index (IPLM). The four factors data was taken from each province in Indonesia i.e. the number of accredited libraries, the level of people’s reading interest, proportion of population living below 50% of the median income, and high school completion rate. To determine whether these four factors truly affect IPLM, a regression model analysis was conducted. The machine learning models discussed in this study are simple linear regression and multiple linear regression. One multiple linear regression model was used to integrate all four factors together. Four simple linear regression models were applied to assess each factor individually in relation to IPLM. From all these regression models, the adjusted R-squared values were compared. The analysis revealed that the level of people’s reading interest factor has a higher adjusted R-squared value in the simple linear regression (0.3828) compared to the multiple linear regression (0.3235). In contrast, the other three factors show lower adjusted R-squared values in their simple linear regressions than in the multiple linear regression. The conclusion is the reading interest factor best used to predict IPLM without involving the other factors. Meanwhile, the remaining three factors should be used collectively when predicting IPLM values.

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