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Optimizing Pigeon-Inspired Algorithm to Enhance Intrusion Detection System Performance Internet of Things Environments Ratnawati, Fajar; Siswanto, Apri; Jaroji, -; Effendy, Akmar; Tedyyana, Agus
JOIV : International Journal on Informatics Visualization Vol 7, No 4 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.7.4.1724

Abstract

Intrusion Detection Systems (IDS) are crucial in maintaining network security and safeguarding sensitive information against external and internal threats. This study proposes a novel approach by utilizing a Pigeon-Inspired Algorithm optimized with the Hyperbolic Tangent Function (Tanh) function to enhance the performance of IDS in threat detection specifically tailored for Internet of Things (IoT) environments. We aim to create a more robust solution for optimizing intrusion detection systems by integrating the efficient and effective Tanh function into the Pigeon-Inspired Algorithm. The proposed method is evaluated on three widely-used datasets in the field of IDS: NSL-KDD, CICIDS2017, and CSE-CIC-IDS2018. Experimental results demonstrate that integrating the Tanh function into the Pigeon-Inspired Algorithm significantly improves the performance of the intrusion detection system. Our method achieves higher accuracy, True Positive Rate (TPR), and F1-score while reducing the False Positive Rate (FPR) compared to traditional Pigeon-Inspired Algorithms and several other optimization algorithms. The Pigeon-Inspired Algorithm optimized with the Tanh function offers an efficient and effective solution for enhancing intrusion detection system performance, specifically in Internet of Things environments. This method holds great potential for application in diverse network environments, bolstering information security and safeguarding systems from evolving cybersecurity threats. By extending the applicability and effectiveness of the Pigeon-Inspired Algorithm optimized with the Tanh function, researchers can contribute to developing more comprehensive and robust security solutions, addressing the ever-evolving landscape of IoT-based cybersecurity threats.
Teler Real-time HTTP Intrusion Detection at Website with Nginx Web Server Tedyyana, Agus; Ghazali, Osman
JOIV : International Journal on Informatics Visualization Vol 5, No 3 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.3.510

Abstract

Web servers and web-based applications are now widely used, but in this case, the crime rate in cyberspace has also increased. Crime in cyberspace can occur due to the exploitation of how a system works. For example, the way HTTP works are exploited to weaken the webserver. Various tools for attacking the internet are also starting to be easy to find, but so are the tools to detect these attacks. One of the useful tools for detecting attacks and sending warnings against threats is based on the weblogs on the webserver. Many have not reviewed Teler as an intrusion detection system on HTTP on web servers because the existing tools are relatively new. Teler detecting the weblog and run on the terminal with rule resources collected from the community. So here, the researcher tries to implement the use of Teler in detecting HTTP intrusions on a Nginx-based web server. Intrusion is carried out in attacks commonly used by attackers, for example, port scanning and directory brute force using the Nmap and OWASP ZAP tools. Then the detection results will be sent via the Telegram bot to the server admin. From the results of the experiments conducted, it has been found that Teler is still classified as being able to send warning notifications with a delay between the time of detection and the time when the alert is received, no more than 3 seconds.
PENERAPAN E-LIBRARY DAN E-LEARNING UNTUK PENINGKATAN LITERASI DIGITAL DI SMKN 2 BENGKALIS Ratnawati, Fajar; Tedyyana, Agus; Danuri, Danuri
BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Vol. 2 No. 2 (2022): BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Desember 2022
Publisher : LPPM UNIKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/bhakti_nagori.v2i2.2632

Abstract

Literasi merupakan suatu kebutuhan terutama bagi dunia pendidikan termasuk SMKN 2 Bengkalis. Kegiatan literasi di SMKN 2 Bengkalis mengandalkan koleksi referensi di Perpustakaan dan ketersediaan bahan pembelajaran yang dirujuk oleh Guru secara individu. Terdapat dua hal utama yang diselesaikan oleh tim pengabdian yaitu penerapan aplikasi perpustakaan digital dan media pembelajaran daring melalui e-learning. Keadaan perpustakaan di SMKN 2 Bengkalis adalah belum tersedianya aplikasi perpustakaan, akses referensi di perpustakaan terbatas sesuai jam layanan, dan koleksi referensi dalam bentuk hardcopy serta media pembelajaran yang belum tersistem untuk kebutuhan secara daring. Tahapan pelaksanaan kegiatan pengabdian dimulai dengan menyelesaikan media pembalajaran secara daring dan dilanjutkan penerapan aplikasi perpustakaan secara bertahap. Luaran dari kegiatan pengabdian ini adalah terdaftar HKI, publikasi artikel pengabdian pada jurnal, ekspos kegiatan pengabdian di media massa onine, dan video dokumentasi kegiatan
PENINGKATAN SISTEM KEAMANAN DI LINGKUNGAN SMKN 1 BENGKALIS Ratnawati, Fajar; Tedyyana, Agus
BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Vol. 3 No. 2 (2023): BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Desember 2023
Publisher : LPPM UNIKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/bhakti_nagori.v3i2.3241

Abstract

Peningkatan system keamanan di lingkungan sekolah dapat dilakukan dengan cara menerapkan smart cctv. Smart CCTV adalah teknologi kamera pengawas yang dilengkapi dengan sistem pengolahan data dan kecerdasan buatan. Dengan teknologi ini, kamera pengawas dapat mendeteksi dan mengidentifikasi objek atau perilaku yang mencurigakan. Penerapan Smart CCTV di lingkungan sekolah dapat dipasang di beberapa titik strategis seperti pintu gerbang, koridor, ruang kelas, dan area parkir. Selain itu, Smart CCTV juga dapat diintegrasikan dengan sistem alarm dan notifikasi otomatis sehingga petugas keamanan dapat segera merespon kejadian yang mencurigakan. Keamanan di lingkungan sekolah merupakan hal yang sangat penting untuk menjaga keselamatan para siswa, guru, dan karyawan. Dalam penerapannya, Smart CCTV dapat memberikan rasa aman dan nyaman bagi siswa, guru, dan karyawan di dalam lingkungan sekolah. Selain itu, Smart CCTV juga dapat membantu pihak sekolah dalam menangani dan mengidentifikasi pelaku kejahatan yang terjadi di lingkungan sekolah
Implementation of AES-128 Encryption for Fingerprint Template Protection in ESP32-Based Biometric Ticketing System Subandri, Muhammad Asep; Tedyyana, Agus; Putu Mahendra, I Gusti Agung
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 1 (2026): February
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/mkks1830

Abstract

Biometric ticketing systems utilizing fingerprint recognition provide enhanced security and convenience for passenger identification in public transportation. However, the transmission of fingerprint templates over wireless networks without adequate cryptographic protection exposes the system to interception attacks and privacy breaches. This research implements AES-128 encryption in Cipher Block Chaining (CBC) mode to protect fingerprint templates transmitted within an ESP32-based biometric ticketing system. The implementation leverages the ESP32’s integrated mbedTLS library with hardware acceleration to achieve efficient cryptographic operations. Experimental evaluation using 10 fingerprint template samples demonstrates a 100% success rate for encryption-decryption operations. Performance measurements indicate an average encryption latency of 2.30 ms and decryption latency of 2.10 ms, with a data size overhead of 32 bytes (6.25%) due to Initialization Vector (IV) and PKCS7 padding. The results confirm that the proposed encryption scheme effectively secures biometric data transmission while maintaining system responsiveness suitable for real-time applications.
Design of an Intelligent Vehicle Manifest Recording System at the Bengkalis-Sungai Pakning Ro-Ro Ferry Crossing Based on Deep Learning and Optical Character Recognition Jaroji; Danuri; Tedyyana, Agus
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 1 (2026): February
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/894v9b70

Abstract

Vehicle manifest recording in Ro-Ro ferry services is still predominantly conducted manually, which may lead to operational inefficiencies and data inconsistencies. This study presents an automated vehicle manifest recording system for the Bengkalis–Sungai Pakning Ro-Ro ferry crossing by leveraging deep learning and Optical Character Recognition (OCR) technologies. The proposed system utilizes CCTV or IP cameras to capture vehicle images, performs frame extraction from video streams, and applies YOLOv11 for real-time vehicle and license plate detection. The detected license plate regions are subsequently processed using an OCR module to extract textual vehicle identification information. The detection model was trained using a publicly available vehicle and license plate dataset. Experimental evaluation on the vehicle and license plate dataset shows that the YOLOv11 model achieves a precision of 85.9%, recall of 84.0%, and mAP@0.5 of 87.8% for vehicle and plate detection. OCR evaluation conducted on real operational test images indicates a recognition success rate of 57.5%, with an average confidence score of 0.63 for successfully recognized plates. Further analysis reveals that illumination level and plate scale (distance proxy) are the dominant factors affecting OCR performance, while tilt angle exhibits moderate influence. These results indicate that the proposed framework provides reliable visual detection performance and identifies critical environmental constraints that must be addressed for robust automated manifest deployment in Ro-Ro ferry environments.