cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Muhammad Khoiruddin Harahap
Contact Email
choir.harahap@yahoo.com
Phone
+6282251583783
Journal Mail Official
publikasi@itscience.org
Editorial Address
Medan
Location
Unknown,
Unknown
INDONESIA
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 Articles sent to the Brilliance may not be published elsewhere.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
 47   48   49   50   51 
Service Quality Analysis of RFID-Based Smart Door Lock in Front One Azana Style Hotel Area Putra, Fauzan Prasetyo Eka; Ramadhani, Nilam; Fauzan, Fauzan; Mursidi, Moh.
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.v4i1.4292

Abstract

This research evaluates the service quality of an RFID-based smart door lock system in the Front One area of Azana Style Hotel Pamekasan. Employing qualitative analysis techniques, the study assesses the system's reliability, security, convenience, and responsiveness based on user experience and behavioral data. The primary goal is to understand how effectively the smart lock system enhances hotel services and operational efficiency. The findings aim to offer valuable insights to hotel management and the broader hospitality industry regarding the impact of smart technology on guest experience and hotel operations, thus fostering innovation and promoting environmental sustainability. By integrating RFID-based smart door locks with the Internet of Things (IoT), the system enables real-time access control, manages meeting room schedules, facilitates remote security monitoring, and oversees employee access management. This integration not only boosts service quality and operational efficiency but also creates a more connected and intelligent hotel environment. Consequently, the study highlights the potential of smart technology to transform hotel operations, improve guest satisfaction, and contribute to a sustainable future for the hospitality industry. Additionally, the research underscores the importance of continuous technological advancements in maintaining competitive advantage in the rapidly evolving hospitality sector, ensuring that hotels can meet the ever-changing needs and expectations of their guests.
Case Study of Computer Network Development for the Internet Of Things (IoT) Industry in an Urban Environment Rachman, Anang Fakchtur; Putra, Fauzan Prasetyo Eka; Syirofi, Syirofi; Wahid, Durrahman
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.v4i1.4302

Abstract

This research presents a case study of computer network development to support the Internet of Things (IoT) industry in an urban environment. The rapid growth of the IoT industry has created the need for a network infrastructure that can support the connectivity of various smart devices widely and reliably. This research focuses on urban environments that have unique complexities such as high population density, intensive movement, and diverse infrastructure needs. The research methodology involves a detailed analysis of the implementation of computer networks in the context of the IoT industry in urban environments. Data was collected through field observations, interviews with experts, and analysis of relevant project documents. The analysis results show that the development of computer networks in urban environments to support industrial IoT requires scalable network design, efficient bandwidth management, tight security, and adaptation to existing infrastructure. This case study describes various strategies and technologies used in the development of computer networks, including the implementation of 5G-based wireless networks and the monitoring of urban environments using smart sensors. These results highlight the importance of a holistic and sustainable approach when developing computer networks for the IoT industry in urban environments. Ensuring your infrastructure can meet future needs requires collaboration between stakeholders, investment in the right technology, and careful planning. This study makes an important contribution to the optimisation of computer networks that support the growth of the IoT ecosystem in urban environments.
Improving Network Service Quality in parts of Sampang City: QoS Evaluation and User Perception of QoE Putra, Fauzan Prasetyo Eka; Ubaidi, Ubaidi; Aziz, Mohammad; Irfan, Moh.; Alim, Royfal
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.v4i1.4311

Abstract

In an era of rapid urbanization, the quality of network services in urban environments is becoming increasingly important. This article explores efforts to improve network service quality in several sampang cities through an evaluation of Quality of Service (QoS) and user perceptions of Quality of Experience (QoE). The research is based on a survey conducted at various locations in sampang city to collect data on the reliability, speed, and availability of network services. The survey involved a diverse sample of users, covering a wide range of ages, professions, and levels of technology usage. In addition, we also analyzed users' perceptions of service quality based on their experiences of using the network in an urban environment. The results highlighted several key challenges in improving QoS, such as user density, signal interference, and network infrastructure limitations. However, we also found that strategies such as the use of advanced network technologies, such as 5G and beamforming, as well as traffic prioritization based on application type, can help to significantly improve QoS. In addition, we found a strong positive correlation between improved QoS and improved QoE, suggesting that improved quality of service has a direct impact on improving user experience. These findings provide valuable insights for network operators and policy makers in their efforts to improve network services in dense urban environments. The research also recommends further investment in network technologies and the development of policies that support more effective management of network traffic to ensure optimal quality of service.
Effect Of Distance On Wi-Fi Signal Quality In The Home Environment Putra, Fauzan Prasetyo Eka; Ubaidi, Ubaidi; Kusuma, R. Okky Firmansyah; Syam, Abd Mu’iz; Efendy, Satrio Ananta
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.v4i1.4319

Abstract

This study aims to analyze the effect of distance on Wi-Fi signal quality in a home environment. With the increasing use of wireless devices and applications that rely on internet connectivity, Wi-Fi signal quality has become crucial to support daily activities such as streaming, online gaming, remote work, and smart home automation. This research employs an experimental method by measuring signal strength and data transmission speed at various distances from the Wi-Fi router. Measurements were taken at several points, ranging from 1 meter to 15 meters from the router, in different rooms and through different obstacles like walls and furniture.To conduct the analysis, a Wi-Fi analyzer was used to measure signal strength (in dBm) and a speed test was employed to determine data transmission speed (in Mbps) at each distance. The results showed that the greater the distance from the router, the Wi-Fi signal strength decreased significantly, leading to a corresponding decrease in data transmission speed. In addition, obstacles such as walls and electronic interference further degraded the signal quality.This study concludes that optimizing router placement and using signal booster devices, such as Wi-Fi extenders or mesh networks, can be effective solutions to improve Wi-Fi signal quality at home. It also highlights the importance of understanding and managing home network infrastructure to maximize Wi-Fi usage efficiency. By strategically placing routers and employing additional network hardware, users can ensure a stable and fast internet connection throughout their home, enhancing the overall user experience and productivity. Research provides valuable insights for homeowners and technology enthusiasts on how to achieve optimal Wi-Fi performance in various home environments.
Analysis of Phishing Attack Trends, Impacts and Prevention Methods: Literature Study Fauzan Prasetyo Eka Putra; Ubaidi; Achmad Zulfikri; Goffal Arifin; Ilhamsyah, Revi Mario
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.v4i1.4357

Abstract

Phishing is a growing form of cybercrime that poses a serious threat to information security in the digital world. This article aims to analyze the latest trends in phishing attacks and evaluate effective prevention methods. Using data from cybersecurity reports, case studies, and academic literature, this research identifies the latest phishing techniques such as spear phishing, whaling, and smishing that are increasingly sophisticated and difficult to detect. The analysis showed that while anti-phishing technologies such as email filters, two-factor authentication (2FA), and encryption have undergone significant developments, user awareness and education remain key factors in preventing phishing attacks. Additionally, strict policies and procedures at the organizational level also play an important role in reducing risk. The case studies presented in this article demonstrate the successful implementation of various prevention methods in several organizations, although challenges in terms of technology adoption and user training remain. For example, spear phishing and whaling have been effectively countered by tailored training programs and advanced threat detection systems. The article concludes by providing practical recommendations to increase user awareness and strengthen organizational policies to protect against phishing attacks. It also includes foresight to illustrate the possible evolution of phishing attacks, emphasizing the need for continuous innovation in cyber defense strategies. This comprehensive approach underscores the importance of a multi-layered defense system that combines technological solutions with human vigilance to effectively combat the ever-evolving threat of phishing.
Development of a Sustainable Information System Using Structured Routing and Livewire Methods in Educational Institutions in Jakarta Fitrianto, Adi
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.v4i1.4369

Abstract

This research aims to develop a data management application for instructors and training programs at MNC Academy. The underlying issue for developing this application is the lack of an efficient and practical data recording system and insufficient accessibility to important information about instructors and training. Instructor and training data are often complex and continually evolving, making manual management or using office software inefficient and time-consuming. Additionally, digital data recording of instructors and training is needed for the promotional website of MNC Academy, ensuring organized and timely access to relevant information for the public. The application is developed using PHP programming language with the Laravel framework as its base. The application also employs structured routing and Livewire technology to build mini components that support the system’s functionality more effectively. Structured routing is an approach to clearly and systematically organize routes, enabling more systematic management of URL links and providing a structured way to handle navigation routes. Livewire in the Laravel framework is a technology that allows the creation of interactive user interface components without the need to write separate JavaScript code. Using Livewire helps simplify the development of dynamic components by reducing technical complexity. With the implementation of this data management application, it is expected that the data of instructors and training programs at MNC Academy can be managed more systematically, enabling neat record-keeping and providing easier access for those needing this information.
Agile Methodology in Web and Mobile Based App of Tracer Study and Career Center Djutalov, Roeslan; Irham, Muhammad; Putra, Ade Dwi; Elistiawan, Andri; Syah, Rizky Firman
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.v4i1.4372

Abstract

This research explores the application of Agile methodology in the development of a web and mobile-based Tracer Study and Career Center application. The primary objective is to enhance the effectiveness and efficiency of career and educational tracking for users, including students, alumni, and career center staff. The study is motivated by the need to provide a responsive and adaptable solution that can continuously evolve based on user feedback and changing needs. Using Agile methodology, the development process involved iterative cycles of planning, development, testing, and evaluation, ensuring that the application meets high standards of quality and usability. Key features such as educational tracking, work experience logging, and to address the core requirements of the users. The results indicate that the Agile approach significantly improved the application's functionality and user experience. However, further enhancements in the user interface and additional feature adjustments based on ongoing user feedback are necessary. The research concludes that Agile methodology is effective in developing adaptive and user-centered applications, though it highlights the importance of continuous improvement and comprehensive user engagement in future developments. This study provides valuable insights for developers and researchers in the field of educational and career management applications, demonstrating the practical implications of Agile in creating responsive and effective software solutions.
Computer Network Management Optimization Through Big Data Analysis Using Time Series Analysis Method Putra, Fauzan Prasetyo Eka; Ubaidi, Ubaidi; Huda, Moh Abroril; Hasbullah, Hasbullah; Rohman, Abd
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.v4i1.4373

Abstract

Efficient management of computer networks is becoming increasingly important in the ever-evolving digital age. With the ever-increasing volume of data in the network environment, sophisticated approaches are needed to analyse and optimise network performance. One promising approach is the use of big data analysis with time series analysis methods. In this context, this research aims to explore the potential application of big data analysis using the time series analysis method in computer network management. By combining the power of big data analysis with time series analysis methodology. One of the main applications of  big data analysis in computer networks is security threat detection. By analysing unusual traffic patterns or suspicious behaviour, the system can identify potential attacks or data leaks more quickly and efficiently. In addition, big data analytics can also be used to optimise network performance by identifying bottlenecks, predicting capacity requirements, and improving the efficiency of resource usage by utilising big data analytics in the context of computer networks. However, challenges related to data privacy and security remain a major concern that must be addressed in the application of this technology. Therefore, it is important to develop a framework that takes into account the security and privacy aspects of data throughout the big data analysis process. Through this research, it is hoped that innovative solutions to the challenges of managing complex computer networks in the evolving digital era can be found, as well as provide a solid foundation for further research in this field.
4G LTE Network Performance Analysis Provider 3 In Pamekasan Using The G-Nettrack Application Putra, Fauzan Prasetyo Eka; Ubaidi, Ubaidi; Mahendra, Mahendra; Surur, Miftahus; Rizki, Abdulloh
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.v4i1.4376

Abstract

This research evaluates the performance of 4G LTE Provider 3 network services in Pamekasan City using the drive test method using the G-NetTrack application. The goal is to understand network performance in providing high-quality internet access in the ever-evolving digital era. This research is important because people's needs for fast and reliable internet access are increasing, especially in cities with high population density such as Pamekasan. Field measurement results show that Provider 3's 4G LTE network has good service quality with stable download and upload speeds and adequate signal strength. Drive tests were conducted by driving along predetermined routes while recording data on signal strength, internet speed, latency, and other relevant parameters. The data collected from each location was analyzed to compare the performance of various service providers. This analysis provides a comprehensive picture of network performance and can be used to provide recommendations to both consumers and other concerned parties. The conclusion of this study includes an evaluation of the performance of each provider based on the drive test results, as well as providing recommendations for future service improvements. The results of this study provide useful insights to understand and improve user experience in telecommunication connectivity in Pamekasan City, and can be used to improve user experience.
Netvista Public Wireless Network Quality Analysis Using Quality Of Service Parameters Putra, Fauzan Prasetyo Eka; Ubaidi, Ubaidi; Mayangsari, Dwi; Hasanah, Nor
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.v4i1.4388

Abstract

The use of public wireless networks is increasingly used by the public because it is able to touch all walks of life using the internet because of its affordable prices. Apart from the affordable price, the ease of accessing this network so that many people prefer to take advantage of public wifi. However, with the increasing number of network users, of course, it will affect the quality of the network. Based on these problems, the researcher decided to conduct a study to analyze the quality of the public wireless network from NETVISTA. The NETVISTA public wireless network can be accessed in Kangenan Gg. 1, so the researcher decided to conduct research at the location for 2 days. This study aims to determine the quality of the internet connection network based on QoS parameters by knowing the delay, throughput, and packet loss obtained from the axence nettols application which will later be compared with the TYPHON standard so that the quality of the NETVISTA public wireless network can be known. The method used in this study is descriptive analysis. From this study, the results were obtained that many users (category: "Busy") the quality of Netvista's public wireless network was less satisfactory or at point 2.6, while when there were few users (category: "Not Busy") the quality of Netvista's wireless network was satisfactory or at point 3.1. The best time on holidays is between 11.00-12.00 and 22.01-00.00, while the best time on active days is 04.01-10.59 and 12.01-16.00.

Page 49 of 55 | Total Record : 544

 47   48   49   50   51 

Filter by Year

2021 2026


Reset
Filter By Issues
All Issue Vol. 6 No. 1 (2026): Brilliance: Research of Artificial Intelligence, Article Research May 2026 Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025 Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025 Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024 Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024 Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023 Vol. 3 No. 1 (2023): Brilliance: Research of Artificial Intelligence, Article Research May 2023 Vol. 2 No. 3 (2022): Brilliance: Research of Artificial Intelligence, Article Research November 2022 Vol. 2 No. 2 (2022): Brilliance: Research of Artificial Intelligence, Article Research May 2022 Vol. 2 No. 1 (2022): Brilliance: Research of Artificial Intelligence, Article Research February 2022 Vol. 1 No. 2 (2021): Brilliance: Research of Artificial Intelligence, Article Research November 2021 Vol. 1 No. 1 (2021): Brilliance: Research of Artificial Intelligence, Article Research May 2021 More Issue