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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.
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.
Tren dan Praktik Terbaik dalam Pengembangan Web Berbasis API : Kajian Literatur terhadap Framework Laravel dan React Putra, Fauzan Prasetyo Eka; Efendi, Reynal Widya; Tamam, Alief Badrit; Pramadi, Walid Agel
INFOMATEK Vol 27 No 1 (2025): Juni 2025
Publisher : Fakultas Teknik, Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/infomatek.v27i1.25122

Abstract

Pengembangan web modern mengalami pergeseran paradigma dengan meningkatnya adopsi arsitektur berbasis API yang memisahkan tanggung jawab antara frontend dan backend. Kajian ini bertujuan untuk menganalisis tren serta praktik terbaik dalam pengembangan aplikasi web berbasis API dengan menggunakan Laravel sebagai framework backend dan React sebagai library frontend. Metode yang digunakan adalah tinjauan literatur sistematis terhadap publikasi akademik dalam tiga tahun terakhir. Hasil kajian menunjukkan bahwa integrasi Laravel dan React menawarkan fleksibilitas tinggi dalam membangun aplikasi yang skalabel, maintainable, dan responsif. Beberapa praktik terbaik yang diidentifikasi meliputi penerapan prinsip RESTful API, pengelolaan state secara efisien di React, serta penggunaan dokumentasi API yang terstruktur. Tantangan utama dalam integrasi keduanya mencakup pengelolaan otentikasi, sinkronisasi data, serta masalah lintas domain (CORS). Selain itu, tren seperti arsitektur headless, SPA, SSR, dan microservices semakin banyak diadopsi dalam konteks pengembangan modular dan berorientasi performa. Kajian ini memberikan wawasan strategis bagi pengembang dan peneliti untuk memahami dinamika dan arah evolusi arsitektur aplikasi web berbasis API menggunakan Laravel dan React.
Comparative Analysis of Laravel and Symfony in PHP-Based Web Application Developmen Putra, Fauzan Prasetyo Eka; Kusuma, Okky Firmansyah; Mursidi, Moh.; Hamzah, Amir
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.v5i1.5892

Abstract

This research aims to compare two leading PHP frameworks, Laravel and Symfony, in the context of modern web application development. Using a Comparative Literature Study approach, this study analyses various relevant literature sources to evaluate the performance, ease of use, key features, security, as well as scalability and community support of each framework. Laravel is known for its simple and productive approach, making it popular among beginner to intermediate developers. Meanwhile, Symfony has a more complex and flexible architectural structure, which is often used in large-scale projects and enterprise systems. From the results of the study, it was found that Laravel is superior in terms of ease of use and the availability of extensive documentation, while Symfony shows more stable and flexible performance in large-scale applications. In terms of security, both frameworks provide protection features against common threats such as SQL Injection, CSRF, and XSS. Laravel has the upper hand in providing off-the-shelf solutions, while Symfony provides more advanced settings for experienced developers. Laravel's community support is also greater, making learning and development easier. This research provides an objective overview for developers in choosing a framework that suits the needs of the project, both from a technical and practical perspective.
Internet Network QOS Analysis at Yala Kopitiam pamekasan Using Wireshak Putra, Fauzan Prasetyo Eka; Surur, Miftahus; Mahendra, Mahendra; Arifin, Goffal
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.v5i1.5940

Abstract

This research aims to analyze the quality of internet network services at Yala Kopitiam Pamekasan in both indoor and outdoor areas using the Wireshark version 4.0.3 application. The main focus is on measuring several Quality of Service (QoS) parameters namely throughput, packet loss, delay, and jitter to evaluate the overall performance of the Wi-Fi network accessed by customers. The methodology used includes direct observation at the café, interviews with café management to understand user complaints and technical constraints, and literature review to strengthen theoretical foundations. The data collected was analyzed using the TIPHON (Telecommunications and Internet Protocol Harmonization Over Networks) standard, which classifies service quality based on quantified thresholds for each parameter. The results indicated that throughput was low in both outdoor (16 kbps) and indoor (32 kbps) areas, categorized as “Poor”. However, packet loss was minimal, at 0.049% for outdoor and 0.082% for indoor, both rated as “Excellent”. Delay varied between locations, with outdoor delay (1.883 ms) rated “Good” and indoor delay (152.88 ms) rated “Medium”. Jitter performance was also relatively stable, with values of 1.883 ms outdoors and 11.88 ms indoors, both classified as “Good”. Based on these measurements, the overall network service quality at Yala Kopitiam Pamekasan falls into the “Medium” category with an average QoS index of 2.5. The study concludes by recommending enhancements in bandwidth capacity and optimization of network device configurations to improve service reliability and customer satisfaction.
Implementation And Evaluation Of Zerotier-Based Virtual Network For Device Connectivity Putra, Fauzan Prasetyo Eka; Ilhamsyah, Revi Mario; Efendy, Satrio Ananta; Rizki, Abdulloh
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.v5i1.5966

Abstract

The demand for adaptable, secure, and easily deployable network connectivity is increasing rapidly, driven by continuous advancements in information and communication technology. This is particularly evident in the rising adoption of cloud computing, remote work models, and the growing need for scalable and flexible virtual network infrastructures. ZeroTier emerges as an innovative solution that combines the key concepts of Virtual Private Networks (VPN), Software Defined Networking (SDN), and peer-to-peer architectures into a unified platform. This study aims to explore the operational mechanism, implementation procedure, and real-world performance of ZeroTier in enabling seamless connections between devices located across different networks and physical locations. The research methodology includes a comprehensive literature review and practical testing by creating a virtual network using ZeroTier. The evaluation focuses on connection setup, security, ease of configuration, and performance under different network scenarios. The findings reveal that ZeroTier offers a reliable, secure, and efficient virtual networking environment, capable of delivering stable communication with minimal configuration effort. Additionally, it does not require complex infrastructure or technical expertise, making it suitable for academic research, remote work environments, and small to medium-sized businesses. The results suggest that ZeroTier can be considered a viable alternative to traditional VPN solutions and physical network setups, especially in contexts that demand agility, security, and simplicity.
Trends and Best Practices in API-Based Web Development Using Laravel and React Putra, Fauzan Prasetyo Eka; Efendi, Reynal Widya; Tamam, Alief Badrit; Pramadi, Walid Agel
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.v5i1.5971

Abstract

Modern web development is undergoing a paradigm shift marked by the increasing adoption of API-based architectures that decouple frontend and backend responsibilities. This separation enables the development of modular, scalable, and maintainable applications, particularly through the combination of Laravel and React. This study aims to explore current trends and best practices in API-driven web application development by conducting a systematic literature review of academic publications and technical documentation published between 2022 and 2024. Laravel, a robust PHP backend framework, provides a powerful foundation for implementing RESTful APIs, while React, a declarative JavaScript library, enhances user interface responsiveness through efficient state management and component-based architecture. The review identifies several best practices: implementing RESTful principles, leveraging React's useContext and Redux for state handling, and maintaining well-structured and versioned API documentation using tools like Swagger. Integration between the two technologies offers high flexibility but presents technical challenges such as handling secure authentication (e.g., using Laravel Sanctum or Passport), managing asynchronous data flow, and configuring Cross-Origin Resource Sharing (CORS) policies correctly. Furthermore, emerging trends such as headless CMS, Single Page Applications (SPA), Server-Side Rendering (SSR), and microservices architecture have gained traction in enhancing performance, SEO, and development scalability. These trends reflect a broader movement toward decoupled and distributed systems. By synthesizing these findings, this study provides strategic insights for developers, educators, and researchers to better navigate the evolving landscape of web application development using Laravel and React in an API-centric ecosystem.
Co-Authors ., Ubaidi Abd Muiz Syam Abd Rohman Abd Rohman, Abd Abdul Adim Mubarok Abdulloh Rizki Achmad Rofiqi Achmad Zulfikri Achmad Zulfikri Afifatun Nahriyah Agel, Walid Agus Irmawan Ahmad Ramadhani Ainur Rofiq Hafsi Akbar , Nawawi Muhammad Alfin Firdaus Alief Nuraini Alim, Royfal Amir Hamzah Amir Hamzah Amir Hamzah Anggreni Amba Sugi, Senah Anjarani, Devie Reztia Arifin, Goffal Arifin, Mohammad Nazir Arifin, Mohammad Nazir Asmat Baidawi Aziz, Mohammad Barokah, Selviana Nur Rizqi Dafid, Mohammat Debri Eko Arissandi Dewi, Nindian Puspa Dian Tri Agustina Dimas Arman Maulana Putra Durrohman Wahid Dwi Mayangsari Edo Saputra Efendi, Reynal Widya Efendy, Satrio Ananta Fahmi, Zainol Fauzan Fauzan Fauzan . Firmansyah Kusuma, R. Okky Frediyanto Gelu, Leonard Peter Goffal Arifin Goffal Arifin Hamdlani Hamdlani Harfin Lanya, Harfin Hari, Nirwana Haidar Hasan Basri Hasbullah Hasbullah Hasbullah Hasbullah Hasbullah Holipah Huda, Moh Abroril Iksan Iksya Syariifal Maqom Ilhamsyah, Revi Mario Irfan, Moh. Irwan Darmawan Isma’el, M Jannah, Ukhti Raudhatul Khafifatul Mufidah Khafifatul Mufidah Khairurrozi, Khairurrozi Khana Zulfana Imam Khana Zulfana Imam Kusuma, Okky Firmansyah Kusuma, R. Okky Firmansyah Lailatul Fitriyah M. Amir Mahmud Mahendra Mahendra Mahendra, Mahendra Mahmud, M. Amir Maktsuful Ghummah Mansyur, Muhammad Umar Maqom, Iksya Syariifal Marzuq . Maulana, Fairuz Iqbal Miftahus Surur Miftahus Surur Miftahus Surur, Miftahus Moch. Amir Mahmud Moh Abroril Huda Moh Firman Hidayat Moh Mursidi Moh Nazir Moh Riski Moh Syahdan Moh. Amrullah Moh. Nazir Arifin Mohammad Aziz Mohammad Nazir Arifin Mohammad Syaltut Abduh Javier Mu'minin, Fadilatul Mu'nim, M. Zaini Mubarok, Abdul Adim Mufidah, Khafifatul Muhammad Umar Mansyur Muhammad Umar Mansyur Muim, Zaini Mujibur Rohman, Mujibur Mursidi, Moh Mursidi, Moh. Muslim, Farhan Mustafida Mustafida Nailus Saadah Nawawi Muhammad Akbar Nor Hasanah Nuraini, Alief Nurul Fajrin Ariyani Nurul Fajrin Ariyani Paradina, Reni Permana, Putra Pramadi, Walid Agel Rachman, Anang Fakchtur Rachman, Anang Faktchur Rafli Hidayatullah Ramadhani, Nilam Reni Paradina Retno Sukmawati Revi Mario Ilhamsyah Riyan Riyan Riyanarto Sarno Rizki, Abdulloh Royhan Alfadili Safiuddin Safiuddin Safiuddin, Safiuddin Said, Badar Samsul Arifin Samsul Arifin Satrio Ananta Efendy Sa’id, Badar Seindi Pujiastutik D. Selviana Nur Rizqi Barokah Sholihah, Wildanus Siti Ririn Sutarsih Sofa Aulia Rofika Sofiyullah Sofiyulloh, Sofiyulloh suhdi . Sutarsih, Siti Ririn Syafi’i, Imam Syahdayana Arifin Syam, Abd Muiz Syam, Abd Mu’iz Syam, Abd. Mu’iz Syirofi Syirofi Syirofi, Syirofi Tamam, Alief Badrit Tarisha Ramadhanty Triana Selvia Khusnul Khotimah Tryamina Salsabila Ubaidi Ubaidi, Ubaidi Ulfatul Hasanah Umar Mansyur, Muhammad Wahid, Durrahman Wahid, Durrohman Wahyu Hidayatullah Wicaksono Febriantoro, Wicaksono Yasir Zain Yayu Rahma Febriani Yogi Setiawan Zahrotun Naimah Zayyadi, Moh Zulfikri, Achmad