Article Per Year (5 Year)
p-Index From 2021 - 2026
8.725
P-Index
This Author published in this journals
All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Informatika Proceeding International Conference on Information Technology and Business Jurnal sistem informasi, Teknologi informasi dan komputer JUITA : Jurnal Informatika International conference on Information Technology and Business (ICITB) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan SemanTIK : Teknik Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Wikrama Parahita : Jurnal Pengabdian Masyarakat Informatics for Educators and Professional : Journal of Informatics Query : Jurnal Sistem Informasi PEDULI: Jurnal Imiah Pengabdian Pada Masyarakat INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Jurnal Informasi dan Teknologi REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) jurnal syntax admiration Jurnal Sains Boga Brilliance: Research of Artificial Intelligence Jurnal Inovasi Pembangunan Journal of Disruptive Learning Innovation (JODLI) Jurnal Sistim Informasi dan Teknologi Digital Transformation Technology (Digitech) Insand Comtech : Information Science and Computer Technology Journal Bulletin of Social Informatics Theory and Application Jurnal Informatika Dan Tekonologi Komputer
Fauzan Prasetyo
Universitas Madura
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

Published : 78 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 78 Documents
Search

 3   4   5   6   7 
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.
Implementation And Simulation Of Dynamic Arp Inspection In Cisco Packet Tracer For Network Security Putra, Fauzan Prasetyo Eka; Ubaidi, Ubaidi; Tamam, Alief Badrit; Efendi, Reynal Widya
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.v4i1.4199

Abstract

Dynamic ARP Inspection (DAI) is a security feature that helps prevent Address Resolution Protocol (ARP) spoofing attacks, which can compromise the integrity and confidentiality of data in a network. This paper presents the implementation and simulation of DAI using Cisco Packet Tracer, a network simulation tool. The goal is to show how DAI can be configured and used to improve network security by verifying ARP packets in a switched network. The implementation involved setting up a network topology with switches and end devices, configuring DHCP snooping, and enabling DAI on the switches. Simulations tested various scenarios, including normal operation, ARP spoofing attacks, and the network response to these attacks with DAI enabled. The results show that DAI effectively mitigates ARP spoofing attacks, ensuring only legitimate ARP packets are forwarded, thus protecting the network from potential security breaches. The study concludes that implementing DAI is an important step in securing networks, especially in environments with sensitive data and high security needs. This paper serves as a practical guide for network administrators looking to improve their network security posture using Cisco Packet Tracer.
Systematic Literature Review: Security Gap Detection On Websites Using Owasp Zap Putra, Fauzan Prasetyo Eka; Ubaidi, Ubaidi; Hamzah, Amir; Pramadi, Walid Agel; Nuraini, Alief
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.v4i1.4227

Abstract

This research highlights the detection of security vulnerabilities on websites using OWASP ZAP, a highly regarded open-source web security testing tool. Through a comprehensive literature review approach and systematic research methodology, this research emphasizes the urgency of addressing the ever-evolving security threats in web systems. Web security is a crucial aspect of information technology as more and more sensitive data is transmitted through web applications. OWASP ZAP, recognized for its reliability in identifying various security holes, was used to evaluate its effectiveness and efficiency in detecting vulnerabilities in web applications. This tool assists developers and security researchers in finding and fixing weaknesses that could be exploited by attackers. The results of the study show that OWASP ZAP is not only effective in identifying vulnerabilities such as SQL Injection, XSS (Cross-Site Scripting), and misconfiguration but also provides practical solutions to strengthen overall web security. Additionally, this research identifies several challenges faced when using OWASP ZAP and offers recommendations to address these issues. This study makes a significant contribution towards a better understanding of web security and offers recommendations for the implementation of better security testing tools in web development environments. Consequently, this research encourages the adoption of more proactive and systematic security practices in web application development.
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.
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 Aji Prasetya Wibawa Akbar , Nawawi Muhammad Akhmad Vidyan Alfin Firdaus Ali Rahman Alief Nuraini Alim, Royfal Amir Hamzah Amir Hamzah Amir Hamzah Amsori Amsori Anggreni Amba Sugi, Senah Anjarani, Devie Reztia Arifin, Goffal Arifin, Mohammad Nazir Arifin, Mohammad Nazir Asmat Baidawi Aziz, Mohammad Barokah, Selviana Nur Rizqi Dea Aulia Siswoyo 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 Ekawati Ekawati Fahmi Abdillah Fahmi, Zainol Fahri Khusaini Fathur Rosi 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 Khana Zulfana Imam Khana Zulfana Imam Khoirul Anam Kusuma, R. Okky Firmansyah Lailatul Fitriyah Laili Romadona M. Amir Mahmud M. Idris Ainul Yaqin 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. Ali Moh. Amrullah Moh. Nazir Arifin Mohammad Aziz Mohammad Nazir Arifin Mohammad Syaltut Abduh, Mohammad Syaltut Mu'nim, M. Zaini Mubarok, Abdul Adim Mufidah, Khafifatul Muhammad Nazir Arifin Muhammad Umar Mansyur Muhammad Umar Mansyur Muim, Zaini Mujibur Rohman, Mujibur Mursidi, Moh Mursidi, Moh. Mustafida Mustafida Nailus Saadah Nawawi Muhammad Akbar Nindian Puspa Dewi Nor Hasanah Noviyani Dwi Saputri Nuraini, Alief Nurul Fajrin Ariyani Nurul Fajrin Ariyani Pawitra Ramadhani Pramadi, Walid Agel Putra Permana Rachman, Anang Fakchtur Rachman, Anang Faktchur Rafli Hidayatullah Ramadhani, Nilam Reni Paradina Retno Sukmawati Revi Mario Ilhamsyah Rica Oktavia Riyan Riyan Riyanarto Sarno Rizki, Abdulloh Rohilia Loati 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 Fathiar Rohmah Siti Ririn Sutarsih Sofa Aulia Rofika Sofiyullah Sofiyulloh Sofiyulloh suhdi . Syahdayana Arifin Syam, Abd Muiz Syam, Abd Mu’iz Syirofi Syirofi Syirofi, Syirofi Tamam, Alief Badrit Tarisha Ramadhanty Triana Selvia Khusnul Khotimah Tryamina Salsabila Ubaidi Ubaidi, Ubaidi Ulfatul Hasanah Wahid, Durrahman Wahid, Durrohman Wahyu Hidayatullah Waliyurrohman Waliyurrohman Wicaksono Febriantoro, Wicaksono Yasir Zain Yayu Rahma Febriani Yogi Setiawan Zahrotun Naimah Zayyadi, Moh Zulfikri, Achmad