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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 Articles sent to the Brilliance may not be published elsewhere.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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Accelerating the Identification of Soil Drought Index in Wair Koja Village Using Web-Based Thornthwaite-Mather Water Balance Calculations Yuneta, Margaretha; Lete, Maria Kurniaty; Lodan, Maria Wihelmina
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.v4i2.5164

Abstract

Wairkoja Village is one of the villages in the Kewapante Sub-district, Sikka Regency, where drought issues have been identified in several areas of agricultural land. A survey conducted on-site revealed extremely dry soil conditions, and the main crop, maize, had dried up or failed to yield. This research is highly urgent to address the drought problem in the study area. Through this research, it is possible to evaluate drought events, including the drought index, the impact of drought on the economic growth of residents, recommendations for addressing drought issues, and educational information regarding the drought index through web-based digital media. The purpose of this study is to provide information about the drought index at the study location using the Thornthwaite-Mather water balance method and to offer recommendations to farmers regarding the impacts of drought problems (crop failure) based on the levels of the drought index. Additionally, it aims to develop a drought index calculation website using the Thornthwaite-Mather water balance method to deliver information about drought issues in specific areas. This research employs ArcGIS software to analyze data, including soil type maps, land use maps, and topographic maps of the study area. The outputs of this research will provide information on the drought index in the study location using the web-based Thornthwaite-Mather water balance method. This study is classified as basic research with Technology Readiness Level (TRL) 2: formulation of concepts and/or technological applications.
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.
Enhancing K-Means Clustering for Journal Articles using TF-IDF and LDA Feature Extraction Surianto, Dewi Fatmarani; Surianto, Dewi Fatmawati
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.v4i2.5547

Abstract

Clustering is a fundamental technique in data analysis, particularly in unsupervised learning, to group data with similar characteristics. However, the effectiveness of the K-Means algorithm in text clustering heavily depends on proper feature extraction. This study proposes an enhanced feature extraction approach by integrating Term Frequency-Inverse Document Frequency (TF-IDF) and Latent Dirichlet Allocation (LDA) to improve clustering performance on journal article datasets. The dataset consists of 427 journal article abstracts collected from Google Scholar. The preprocessing steps include tokenization, stopword removal, and TF-IDF vectorization, followed by topic extraction using LDA, which serves as input features for the K-Means clustering algorithm. The optimal number of clusters is determined using the Silhouette Score, with the best result obtained at k=9, achieving a score of 0.6806. The practical implications of this study include improved accuracy in academic document clustering, with applications in journal recommendation systems, digital library indexing, and research trend analysis. The results demonstrate that the combination of TF-IDF and LDA produces more informative text representations, significantly enhancing clustering quality. This study contributes to text mining and data science by proposing a systematic preprocessing framework for document clustering. Future research could explore its application to full-text articles, hierarchical clustering, or deep learning-based models to further improve clustering performance.
Design Analysis Application with Framework for Exam Question Evaluation Widodo, Pulla Pandika; Khumaini, Hayatullah; Putra, Al Malikul Ikhwanda
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.v5i1.4907

Abstract

Evaluation of questions is generally carried out by teachers after giving exams to students. The exam is a benchmark to determine students' ability to absorb the subject matter delivered by the teacher through objective and essay questions, all students are expected to be able to answer and solve these questions properly. Exams can be referred to as part of the evaluation to maintain the quality of the questions so that they remain suitable. Therefore, the teacher evaluates the questions by using item analysis manually to get the results of the value in the form of a feasible question, this method will spend a lot of time to calculate one by one the results of student answers and then recap the results of the answers for one class, besides that the accuracy of the results is also low because there can be miscalculations from the teacher that can make the question eligibility value inappropriate. The purpose of this research is to produce a system in the form of an application that is able to analyze questions so that it can help teachers get question analysis quickly. With the concept of the model, view, controller method in the codeigniter framework, a web-based application is designed. The results of the research are in the form of data per question which contains an analysis of the question of difficulty level, differentiating power and checking function by using framework codeigniter.
Technological Innovation for Population Administration: Web-Based System in Cisontrol Village, Ciamis Mayang, Ajeng; Barnadi, Yudi; Suryana, Ase; Ardiansyah, Neris Peri
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.v5i1.4958

Abstract

The rapid development of information technology has profoundly influenced various sectors, including government operations and economic frameworks. This research specifically examines Cisontrol Village in Ciamis, West Java, which encounters numerous challenges in promoting its regional potential and efficiently managing population administration. The inefficiencies in the administration of population data and business permits have particularly hindered the growth of Micro, Small, and Medium Enterprises (MSMEs) within the village. To tackle these challenges, this research proposes a comprehensive web-based population administration information system designed to streamline the application process for the Business Permit for Trade (SIUP) specifically for MSME operators. The implementation of this system is aimed at enhancing the efficiency and accuracy of administrative tasks, allowing residents easy access to the information they need. By providing a user-friendly platform, local entrepreneurs can navigate the complexities of the permitting process with greater ease, thereby reducing the bureaucratic burden often associated with starting and running a business. Preliminary results indicate that good archiving practices within the system will support the delivery of precise and accurate information, ultimately improving the quality of administrative services in Cisontrol Village. This enhancement is expected to expedite various administrative processes, which will not only save time for residents but will also contribute to a more favorable business environment. Furthermore, by facilitating local economic development through better administrative practices, the web-based system encourages entrepreneurship and supports the establishment of new businesses. In conclusion, the introduction of this innovative information system holds the potential to significantly improve administrative efficiency and promote sustainable economic growth, positively impacting the overall quality of life for the residents of Cisontrol Village.
Analysis of Most Significant Bit (MSB) Steganography Method in an IoT-Based Keyboard Learning System Darinda Sofia Tanjung; Sari Siregar, Yunita; Juliana, Juliana
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.v5i1.5179

Abstract

The advancement of digital technology has driven the development of Internet of Things (IoT)-based learning systems to enhance efficiency and interactivity in the teaching and learning process.  IoT implementations is the development of a sensor-based keyboard learning system. This system is designed to help users improve their typing skills through monitoring parameters such as typing speed, keypress patterns, and usage duration. This data becomes an important asset that requires protection due to its connection to user privacy and personal performance evaluation. In IoT-based systems, data is typically transmitted through networks that are potentially vulnerable to security threats, such as eavesdropping, modification, or theft of data or information. The development of this system is carried out in a sensor-based keyboard learning application with IoT integration, which is equipped with data security features using steganography techniques. Steganography is a technique used to hide data or information within a digital medium so that it cannot be accessed by others. The method used is the  Most Significant Bit (MSB), a simple steganography algorithm that utilizes significant bits from image files to embed secret messages. This research aims to analyze the effectiveness of the MSB method in protecting user data stored and transmitted through IoT system. The implementation is carried out on a sensor-based keyboard learning system, where the data collected from the sensors is used to track typing speed, keypress patterns, and typing duration. This data is encrypted using MSB steganography and embedded into a cover image before being transmitted through the IoT network.
Analysis and Clustering of Poverty Levels by Education in Cimahi City Using the BIRCH Method (Balanced Iterative Reducing and Clustering using Hierarchies) Ristiawan, Fadhilla Artamevia Putri; Wibowo, Ari Purno Wahyu
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.v5i1.5631

Abstract

Poverty is an important issue for the local government of Cimahi City, mainly caused by the low level of education of the community and unequal access to quality educational facilities. Given the role of education in influencing the economic condition of the community, this study aims to examine the causes of poverty. Demographic factors such as income, social economic status, and educational attainment are examined in this study using data from the Education Department and Social Department of Cimahi City from 2019 to 2024. There are three poverty levels categorized based on the BIRCH method high, medium, and low. Cigugur Tengah and Leuwigajah area have a majority of residents with a high school education or less and a high poverty rate, while Baros and Padasuka Urban Village have a majority of residents with a D3-D4 education and a low poverty rate. However, the clustering results of the BIRCH method only yielded an accuracy of 43%, which shows that this model is not optimal in clustering poverty levels. According to these results, a region's chance of overcoming poverty increases with the average educational level of its population. The results of this study indicate that education plays an important role in helping people out of poverty. Therefore, the expansion of educational opportunities and an increase in public awareness of the value of education are key solutions.

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