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All Journal JPTK: Jurnal Pendidikan Teknologi dan Kejuruan JIPTEK : Jurnal Ilmiah Pendidikan Teknik dan Kejuruan Jurnal Sains dan Teknologi Bulletin of Electrical Engineering and Informatics Jurnal Edukasi dan Penelitian Informatika (JEPIN) Journal of Information Technology and Computer Science (JOINTECS) IJIE (Indonesian Journal of Informatics Education) SMARTICS Journal The Spirit of Society Journal : International Journal of Society Development and Engagement International Journal of Pedagogy and Teacher Education Jurnal EDUTECH Undiksha Jurnal Teknik Informatika (JUTIF) DEDIKASI: Community Service Reports Journal of Informatics and Vocational Education JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Ilmiah Edutic : Pendidikan dan Informatika Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat Jurnal Media Informasi Teknologi JGHTT Media of Computer Science Indonesian Journal of Learning and Instructional Innovation
Puspanda Hatta
Universitas Sebelas Maret
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
ANALYSIS OF WIRELESS NETWORK SIMULATION BASED ON OPENWRT AND PFSENSE WITH QUALITY OF SERVICE INDICATORS ON LOW-COST NETWORK INFRASTRUCTURE Mishbahuddin, Ahmad; Hatta, Puspanda; Budiyanto, Cucuk Wawan
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 6 (2024): JUTIF Volume 5, Number 6, Desember 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.6.4047

Abstract

The need for high network traffic in Indonesia with the challenge of geographical topology that is difficult to reach makes the majority of internet network users access via wireless networks with limited budgets, resulting in poor internet QoS in Indonesia. An available solution to optimize low-cost network quality is to use the OpenWRT, open source router operating system with a focus on ease of application implementation in network projects. Another solution is pfSense, which is an open source router operation with a firewall network security focus to prevent intrusion. These two operating systems have different comparison methods in performance testing, making it difficult to make decisions about the performance differences between the two operating systems. This study aims to analyze the difference in performance and significance of open source operating systems with different development focuses on low-cost wireless network services. Analysis obtained from the quality of service measurement method on OpenWRT and Pfsense router operating systems on users that connected to a simulated wireless network topology. Data was collected by sending data between a number of users to the server and vice versa using iperf3 and mtr tools. The data consisted of QoS parameters: troughput, delay, jitter, and packet loss. The data shows that there are significant differences in several QoS parameters in the service of a number of users between the OpenWRT and PfSense operating systems. The results of this study show the limitations of each operating system in its implementation in low-cost wireless networks.
MODELING INTRUSION DETECTION AND PREVENTION SYSTEM TO DETECT AND PREVENT NETWORK ATTACKS USING WAZUH Pramudya, Otniel Dewangga Divan; Hatta, Puspanda; Budiyanto, Cucuk Wawan
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 1 (2025): JUTIF Volume 6, Number 1, February 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.1.1830

Abstract

The rapid development of technology has a positive impact on society. The internet can be easily accessed anytime and anywhere, but with the advancement of internet technology, there are many threats lurking in the security of its users. Criminal activities in the digital world are referred to as cybercrime. Numerous cases of cybercrime have occurred worldwide, ranging from attacks that can disable servers to data theft and illegal access. It is noted that more than 50% of companies do not have a plan to respond to these cybercrimes. This is due to various factors, one of which is the limited availability of freely accessible and easily configurable network security platforms for all users. Therefore, this research aims to provide a solution in the form of an open-source-based Intrusion Detection and Prevention System (IDPS) that can be freely distributed and easily configured, one of which is Wazuh. The study uses the Cisco PPDIOO approach in developing a virtual lab with various scenarios for testing and measuring the Quality of Services (QoS) of Wazuh's performance. From the created test scenarios, Wazuh can detect attacks from both inside and outside the network. Wazuh has proven to be capable of detecting and preventing various types of network attacks and features that can facilitate users in responding to cybercrime, making it a potential solution for organizations that have not planned to respond to cybercrime.
Evaluating Ensemble Versus Non-Ensemble Machine Learning Performance with Preprocessing Techniques for IoT Intrusion Detection on CICIoT2023 Firdaus, Febrian Sabila; Hatta, Puspanda; Basori, Basori
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 1 (2026): JUTIF Volume 7, Number 1, February 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.1.5408

Abstract

The rapid expansion of the Internet of Things (IoT) introduces significant security vulnerabilities, exposing networks to sophisticated attacks. Developing effective Intrusion Detection Systems (IDS) is critical, yet many machine learning benchmarks rely on outdated datasets. This study provides a comprehensive comparative evaluation of ensemble and non-ensemble machine learning models for multiclass attack classification using the modern and complex CICIoT2023 dataset. The methodology involves robust preprocessing, including random undersampling to address extreme class imbalance and a hybrid feature selection approach combining Mutual Information (MI) and Random Forest Feature Importance (RFFI). Models, including Naive Bayes, Logistic Regression, SVM, Random Forest, and XGBoost, were evaluated using stratified 5-fold cross-validation (K=5) with default hyperparameters. The results demonstrate that ensemble models consistently and significantly outperform non-ensemble models. XGBoost achieved the highest and most stable performance, yielding a mean F1-score of 0.8889 ± 0.0008 across the K-folds, and a final macro F1-score of 0.8891 on the test set. This research confirms the superiority of ensemble methods for complex IoT traffic and quantitatively highlights the critical role of preprocessing. Notably, scaling was proven essential for non-ensemble models, drastically improving Logistic Regression's F1-score from an unstable 0.6280 to 0.7691.
Co-Authors A.G. Tamrin, A.G. Abdillah Yusron Agus Budiarto Agus Efendi Agus Efendi Agus Efendi Agustina Dyah Pratiwi Aji Nur Rohman Al-Fayed, Iqbal Isnan Andhika Ramadhany Aris Budianto Aris Budianto, Aris Basori Basori Basori Basori Basori Basori Basori Basori Basori Cucuk Wawan Budiyanto Dimas Tegar Zunanta Dimmapraha Fatuardi Dadungawigra Dini Erlinawati Dwi Maryono Dwi Maryono Endar S Wihidayat Endar S. Wihidayat Endar Suprih Wihidayat Endar Suprih Wihidayat Endar Suprih Wihidiyat Esanudin, Rosyid Fadila Aini Atista Fahru Roszy Mahtuf Faizal Arifuddin Fajarwati, Aprilia Fawaidil Wafa, Alfian Febri Liantoni Febri Liantoni, Febri Feng Xiao Firdaus, Febrian Sabila Herianto, Tulus Joseph Ibrahim Wahyu Saputra Imam Prasetyo Ismoyo Putro Isna Safira Jarwodo Aji Jumari Khrisna Bagaskara Kridolaksono, Adityas Kristyan Kusmanto, Bintang Timur Laksono Trisnantoro Lestari Rahayu M Rifki Affandi Mishbahuddin, Ahmad Mohd. Shafie bin Bakar Muhamad Nur Azmi Wahyudi Muhammad Jaelani Mursholihah, Ulfah Awaliah Novita Salkha Nugroho, Yunanto Dwi Nurcahya Pradana Taufik Prakisya Prakisya, Nurcahya Pradana Taufik Pramudya, Otniel Dewangga Divan Putri Karimah Ramadhan, Raqael Fisabillah Rena Anggita Putri, Rena Anggita Rosihan Ari Yuana Rosihan Ari Yuana, Rosihan Ari Sari, Liska Mey Ika Septhea Pradina Mustofa Septi Yulisetiani Setiyani, Susanti Sidauruk, Deardo Satria Ristiawan Titan Istiah Herwati Tiyarno, Raka Pratama Wachid Adi Nugroho Wicaksono, Palguno Widiastuti, Indah Wihidayat, Endar Suprih Winda Annisa Salma Yulisetiani, Septi Yusfia Hafid Aristyagama