Brilliance: Research of Artificial Intelligence

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 Articles sent to the Brilliance may not be published elsewhere.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.

List of Papers (Total 173)

Implementation of K-Means Clustering for Social Assistance Recipients with Silhouette Score Evaluation

The distribution of direct social assistance continues to face several challenges, particularly regarding inaccurate targeting and unequal allocation. One of the main causes of this issue is the lack of transparency in the distribution process, where assistance is often granted to individuals with familial ties to local committee members or even government officials. As a result...

Wireless Network Design at Pamekasan Regency Public Library

The increasing demand for internet access in public service spaces, such as libraries, necessitates a reliable and efficient wireless network. This study aims to design a wireless network for the Pamekasan Regency Public Library to enhance user experience in accessing digital resources. The methodology includes a site survey, analysis of user needs, simulation of access point (AP...

From Observation to Co-Creation: A Netnographic Review of AI-Driven Consumer Behavior

As artificial intelligence (AI) continues to transform the landscape of digital consumer experiences, traditional netnographic methods face significant disruption—both in terms of methodological execution and theoretical framing. This systematic review explores how the growing presence of AI, functioning not only as a technological tool but also as an agentic participant...

Management Strategy for Optimizing Worker Wage Management through SDLC-Based Digital Transformation in Dodol Garut MSMEs

The wage management of daily workers in Micro, Small, and Medium Enterprises (MSMEs) often faces challenges due to manual record-keeping systems that are vulnerable to inaccuracies and delayed payments. This study aims to develop a digital wage management system using the System Development Life Cycle (SDLC) framework and to explore effective managerial strategies for optimizing...

Analysis of User Satisfaction Level on PT. Semen Baturaja's Website Using the User Experience Questionnaire (UEQ) Method

This study aims to analyze user satisfaction with the website of PT Semen Baturaja by employing the User Experience Questionnaire (UEQ) method. As a digital representation of the company, the website plays a significant role in disseminating information, promoting products, and strengthening the overall corporate image. In today’s digital era, providing an optimal user experience...

Designing Fiber Optic Network Infrastructure with FTTX Configuration Using Network Development Life Cycle (NDLC) Method in Solok Regency

In this research, the design of a GPON FTTH network using Google Earth, AutoCAD, and Optisystem applications was conducted in Nagari Rangkiang Luluih, Solok Regency. Fiber To The Home (FTTH) is a fiber optic technology architecture that delivers information from the provider to the user. The method used in this research is the Network Development Life Cycle (NDLC). The...

Analysis of Public Sentiment Text Clustering on Tax Increases using Orange Data Mining on Twitter

Taxes play an important role in the life of a nation and state, particularly in the implementation of national development. Recently, Indonesia issued a new policy to increase VAT to 12%. This policy has sparked a range of both negative and positive opinions from the public. As a result, various reactions and sentiments have been expressed by citizens regarding the policy. To...

Making Learning Module Using Google Spaces for Kindergarten Teachers in Pangandaran Based on LMS (Learning Management System)

Learning process Children of kindergarten age tend to get bored easily and must use a different approach, because at an early age children will get tired easily if taught something tire Computers with attractive visual displays, animations, and sounds can make the learning process feel like playing, so that they are more enthusiastic and motivated. to overcome this, it is...

Prediction of Crime Cases in 2025 in India Using the Fuzzy Time Series Chen Model Method

India's natural beauty and culture, which attract the attention of international tourists, are less able to increase tourist visits due to high crime cases. Tourists' fear of visiting the country has a direct impact on decreasing economic turnover, so the local economy has become very low. Predictions of criminal cases aim to provide an overview of cases that will occur in the...

Building a fish disease detection application based on Smart Fishery with Image Processing and Deep Learning

Indonesia has great potential in the fisheries sector, especially in catfish cultivation which is one of the main commodities. Catfish has advantages in fast growth, high durability to the environment, and high market demand. However, the main challenge in catfish farming is disease attacks that can lead to mass deaths and economic losses for farmers. This disease often arises...

Implementation of Monsakun Problem-Posing to Enhance Elementary School Students' Conceptual Understanding of Mathematics in Indonesia

This study was conducted to develop Monsakun, a web-based Problem Posing learning platform, through the Research and Development (R&D) method using the 4D model: Define, Design, Develop, and Disseminate. The main objective of this research is to create an interactive and effective learning tool that enhances students' ability to understand and apply concepts through systematic...

Identification of Fish Suitable for Consumption with Artificial Intelligence Method Using CNN and SVM Algorithms

In the fishing industry, determining the freshness of fish is essential since it directly affects the quality of consumption and the viability of items on the market. The purpose of this research is to use Convolutional Neural Network (CNN) and Support Vector Machine (SVM) techniques to create an automated system that can determine the freshness of tilapia fish. Identification is...

A Comparative Study of Naive Bayes, Vader, and TextBlob Methods in Sentiment Analysis of ShopeeFood on Twitter

Twitter API tweets were utilized to analyze sentiments surrounding ShopeeFood using its algorithmic attachment. A contended sample of 2,500 tweets was gathered for Shapshot-1 in sample focus and was later cleaned and translated into English. The methods employed for the analysis include TextBlob, VADER, and Naïve Bayes classifiers. The analysis reconsolidated, yet again, that...

Analysis of Most Significant Bit (MSB) Steganography Method in an IoT-Based Keyboard Learning System

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...

Evaluation of Indonesian Language Stemmer Algorithms: A Comparative Analysis

Indonesian is a language with a large number of speakers and diverse vocabulary. One of the main challenges of Indonesian language processing is the presence of agglutinative morphology. This complexity makes it challenging for traditional stemming algorithms developed for European languages to accurately handle Indonesian words. This review focuses on several prominent...

Analysis and Clustering of Poverty Levels by Education in Cimahi City Using the BIRCH Method (Balanced Iterative Reducing and Clustering using Hierarchies)

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...

Technological Innovation for Population Administration: Web-Based System in Cisontrol Village, Ciamis

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...

Design Analysis Application with Framework for Exam Question Evaluation

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...

Analysis UI Website Design Based on Local Wisdom Visual for Green Economy Education on Javara Website

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...

Accelerating the Identification of Soil Drought Index in Wair Koja Village Using Web-Based Thornthwaite-Mather Water Balance Calculations

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...

Evaluating Random Forest Algorithm: Detection of Palm Oil Leaf Disease

This research investigates the application of machine learning techniques for detecting diseases in oil palm leaves, utilizing a dataset of 1,119 images sourced from plantations in the Tanah Laut district. The dataset comprises 488 diseased and 631 healthy leaf samples, which were carefully cropped to isolate leaf areas and labeled with the assistance of domain experts. For...

Innovation of an Expert System for Diagnosing Allergic Diseases in Children using the Web-based Certainty Factor Method

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...

Advancing Voice Anti-Spoofing Systems: Self-Supervised Learning and Indonesian Dataset Integration for Enhanced Generalization

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...

Design And Development Of A Backend System For Monitoring And Controlling Smart Agriculture

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...

Application Optimazion Of Fidelity Watermarking Digital Imegery Discrete Fourier Transform Method And Rivest Shamir Adleman Algorithm

As the field of information and communication technology continues to evolve, the potential for digital crimes increases significantly. Information technology plays a key role in facilitating various human activities in the fields of communication and data exchange. The use of digital data, such as documents, photos, videos, and audio, still creates many challenges in proving...