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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

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.

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

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

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

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.

Analysis of the Provider State Management Pattern for Performance and Maintainability in a Flutter-based Mobile Pharmacy Application Muhammad Asep Subandri; Fajri Profesio Putra; Agus Tedyyana
SISTEMASI Vol 15, No 4 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i4.6237

State management in modern mobile applications is a critical aspect that affects both user interface (UI) rendering performance and code maintainability. Previous studies on Flutter state management have generally used simple catalog applications as test objects and focused on performance comparisons between approaches without quantitatively measuring maintainability aspects. This study aims to analyze the effectiveness of implementing the Provider state management pattern in terms of UI rendering performance and code maintainability, using a real-world business application case study—namely, the Apotek Berkah mobile application. The research adopts an applied research methodology with a case study approach. The application consists of 20 Dart files with a total of 5,899 lines of code (LOC), developed using Flutter with a MultiProvider architecture and dependency injection. Performance measurements were conducted using Flutter DevTools, including widget rebuild count, frame rendering time, and memory usage, with comparisons against setState as the baseline. Maintainability was assessed through nine metric aspects, including code distribution across layers, provider class metrics, provider access patterns, screen complexity, architectural patterns, and dependency graph analysis. The results indicate that the Provider pattern reduces widget rebuild count by an average of 52.3% compared to setState, with frame rendering time consistently below 16 ms. In terms of maintainability, the Provider architecture demonstrates low coupling (all providers depend solely on ApiService), zero inter-provider dependency, and well-structured separation of concerns. The novelty of this study lies in the combined evaluation of performance and maintainability of the Provider pattern within the domain of a pharmacy business application, which involves CRUD operations, inventory management, and point-of-sale (POS) transactions—a domain that has not been extensively explored in prior Flutter state management literature. The main contribution is empirical evidence that the Provider pattern offers an optimal balance between performance, maintainability, and implementation complexity for medium-scale mobile applications.

Improving FAQ Retrieval for Academic Regulations Using Semantic Embeddings and LLM Question Augmentation Fajri Profesio Putra; I Gusti Agung Putu Mahendra; Agus Tedyyana; Muhammad Noor
Jurnal Testing dan Implementasi Sistem Informasi Vol. 4 No. 1 (2026): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v4i1.2176

Academic regulations in higher education are often documented in lengthy and formal handbooks, making it difficult for students to find relevant information using everyday language. This study developed a semantic FAQ retrieval system for academic regulations using IndoSBERT and question augmentation. The FAQ corpus was constructed from official academic and internship documents, resulting in 92 FAQ entries across 33 topical categories. Seed questions were generated from category–keyword pairs and expanded using simple rule-based augmentation and FLAN-T5-based paraphrasing. The dataset was evaluated using an 80:10:10 train–validation–test split. IndoSBERT was fine-tuned with Multiple Negatives Ranking Loss under three configurations: baseline, baseline with simple augmentation, and baseline with simple plus LLM-based augmentation. Retrieval performance was measured using Recall@1, Recall@3, Recall@5, and Mean Reciprocal Rank. The best result was achieved by the simple plus LLM augmentation configuration, with Recall@1 of 0.7848, Recall@5 of 0.8987, and MRR of 0.8396. These findings show that LLM-based question augmentation improves semantic retrieval robustness while keeping answers grounded in curated academic regulations.

A real-time hypertext transfer protocol intrusion detection system on web server Agus Tedyyana; Osman Ghazali; Onno W. Purbo
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 21, No 3: June 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v21i3.24938

Behind the rapid development of the internet in today’s era, various types of crime are also targeting vital players in the internet industry. With many online crime types rampant, an antidote is also needed to suppress internet crime. Therefore, the researcher proposes a solution in the form of a Keris, namely the hypertext transfer protocol (HTTP) intrusion detection system (IDS) that runs on the server where our website is running. Keris works by detecting rampant intrusions that attack servers or websites. When an intrusion is detected, Keris will notify the system admin using the Keris Telegram chatbot or an alternative Keris mobile application with firebase cloud messaging (FCM) technology. The research was conducted by comparing the results of one-way delay (OWD) between Telegram Webhook and FCM with the help of the open web application security project (OWASP) zed attack proxy (ZAP) test tool. From the results of the tests, OWD against directory brute force attacks on Telegram Webhook for 0.72 seconds and on FCM for 0.44 seconds. In this case, FCM is more suitable for real-time notifications if we need a very responsive notification.

Transforming the voting process integrating blockchain into e-voting for enhanced transparency and securiy Agus Tedyyana; Osman Ghazali; Tryo Asnafi; Onno W. Purbo; Nur Ziadah Harun; Faizal Riza
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 22, No 2: April 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v22i2.25758

This study introduces a novel e-voting system utilizing blockchain technology to address the challenges inherent to traditional voting methods. Traditional systems often suffer from inaccuracies, susceptibility to manipulation, and elevated costs. Conversely, while e-voting shows potential, issues related to transparency and security have curbed its full adoption. Our research overcomes these hurdles by integrating a system developed through the Kanban methodology, with the blockchain serving as the central repository for all election data. This approach boosts transparency and security, using public-private key pairs for each transaction, and simplifying blockchain access. Organizers initiate elections and define eligible voters; this data is then securely moved to the Ethereum blockchain. Voters can effortlessly use the system, casting votes and accessing real-time, unalterable results. Various communication protocols ensure system stability, with simulated cyberattacks showcasing its security. After exhaustive testing and refinement, areas for further enhancement have been identified. This innovative system offers unmatched transparency and trust in the voting process, marking a considerable leap for trustworthy elections, especially in small to medium-sized settings.

PENERAPAN E-LIBRARY DAN E-LEARNING UNTUK PENINGKATAN LITERASI DIGITAL DI SMKN 2 BENGKALIS Fajar Ratnawati; Agus Tedyyana; 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

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

Improving FAQ Retrieval for Academic Regulations Using Semantic Embeddings and LLM Question Augmentation Fajri Profesio Putra; I Gusti Agung Putu Mahendra; Agus Tedyyana; Muhammad Noor
Jurnal Testing dan Implementasi Sistem Informasi Vol. 4 No. 1 (2026): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v4i1.2176

Academic regulations in higher education are often documented in lengthy and formal handbooks, making it difficult for students to find relevant information using everyday language. This study developed a semantic FAQ retrieval system for academic regulations using IndoSBERT and question augmentation. The FAQ corpus was constructed from official academic and internship documents, resulting in 92 FAQ entries across 33 topical categories. Seed questions were generated from category–keyword pairs and expanded using simple rule-based augmentation and FLAN-T5-based paraphrasing. The dataset was evaluated using an 80:10:10 train–validation–test split. IndoSBERT was fine-tuned with Multiple Negatives Ranking Loss under three configurations: baseline, baseline with simple augmentation, and baseline with simple plus LLM-based augmentation. Retrieval performance was measured using Recall@1, Recall@3, Recall@5, and Mean Reciprocal Rank. The best result was achieved by the simple plus LLM augmentation configuration, with Recall@1 of 0.7848, Recall@5 of 0.8987, and MRR of 0.8396. These findings show that LLM-based question augmentation improves semantic retrieval robustness while keeping answers grounded in curated academic regulations.

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