Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi

ANALISIS PERBANDINGAN PERFORMA GALOIS COUNTER MODE (GCM) PADA AES DAN CAMELLIA UNTUK ENKRIPSI DAN DEKRIPSI DATA

Usman Hidayatulloh Sidiq, Akhmad Zaini, Danang Aditya Nugraha — Sat, 30 May 2026 00:00:00 +0700

Digital data security has become a critical necessity in tandem with the increasing threats to information confidentiality and integrity in the modern era. The Advanced Encryption Standard (AES) and Camellia are to internationally standardized block cipher algorithms with equivalent security levels but distinct internal structures. The Substitution-Permutation Network (SPN) in AES and the Feistel Network in Camellia result in different performance characteristics. The lack of comprehensive research comparing both algorithms in Galois Counter Mode (GCM) using multithreading and hardware acceleration parameters serves as the background for this study. This research aims to compare the performance of AES and Camellia in GCM based on parameters including key size, file size, mode of operation, multithreading, and hardware acceleration. The implementation was conducted using the Java programming language and the BouncyCastle library. The result indicate that AES is superior, exhibiting a 30% higher processing rate. Multithreading efficiency is optimal at 2 threads but decreases at 8 threads due to thread management overhead. Hardware acceleration yields varied impacts, such as accelerating encryption time and slowing down the decryption time for AES. Overall, AES demonstrates superior performance, whereas Camellia remains competitive under specific conditions.

INTEGRASI LLM DAN RAG DALAM PLATFORM CHATBOT TERPADU UNTUK LAYANAN INFORMASI AKADEMIK

Muhammad Furqan Hakim, Hendra Finur, Riska Riska, Sahril Saputra — Sat, 30 May 2026 00:00:00 +0700

The utilization of Artificial Intelligence in academic information services is often hindered by the fragmentation of various Large Language Models (LLMs) and the models' lack of specific institutional knowledge. This study aims to design and build a unified web-based chatbot platform that integrates various AI service providers, including Google Gemini, Qwen, and models via OpenRouter (Llama, DeepSeek, Microsoft Phi), into a single interface. The application was developed using PHP with a secure architecture, utilizing HTML Purifier for output security and a responsive interface design based on Tailwind CSS. The key feature of this system is the implementation of the Retrieval-Augmented Generation (RAG) method, which enables the chatbot to provide accurate answers regarding specific information of Universitas Graha Karya (UGK) by referring to a local knowledge base, thereby minimizing AI hallucinations. Furthermore, the system is enhanced with Text-to-Speech (TTS), image generation, and video generation capabilities via the DashScope API. Test results demonstrate that this platform effectively improves the efficiency of academic information access by offering the flexibility to select AI models according to user needs and providing contextual, academically valid responses.

IMPLEMENTASI HOUGH CIRCLE TRANSFORM DAN ORB UNTUK DETEKSI KLASIFIKASI NOMINAL KOIN RUPIAH

Sat, 30 May 2026 00:00:00 +0700

Manual coin counting and classification in high-volume transactions are often inefficient and prone to human error. In computer vision implementations, the primary challenges in coin detection are lighting variations and changes in image scale, rendering conventional area-based methods inaccurate. This study aims to develop a coin detection system robust to changes in camera distance and lighting conditions. The proposed method combines the Hough Circle Transform algorithm for detecting geometric coin locations and ORB (Oriented FAST and Rotated BRIEF) for classifying denominations based on surface texture feature matching. The system is equipped with an adaptive learning mechanism (Human-in-the-Loop), allowing users to interactively train the system upon encountering new coin variants or unrecognized coins. Test results indicate that the combination of CLAHE (Contrast-Limited Adaptive Histogram Equalization) pre-processing and Hough detection successfully isolates overlapping circular objects, while the feature matching method effectively distinguishes coin denominations with similar diameters but distinct textures. It is concluded that integrating texture analysis with user manual correction features significantly enhances system accuracy and flexibility compared to static contour-based detection methods.

RANCANG BANGUN SISTEM INFORMASI PENJADWALAN UJIAN AKHIR SEMESTER BERBASIS WEB DENGAN FITUR AUTO-SCHEDULING

Sat, 30 May 2026 00:00:00 +0700

Proses penyusunan jadwal Ujian Akhir Semester (UAS) di institusi pendidikan tinggi sering kali terkendala oleh bentroknya jadwal pengawas dan tumpang tindih penggunaan ruangan. Penelitian ini bertujuan merancang dan membangun platform Sistem Informasi Penjadwalan terpadu berbasis web di Universitas Graha Karya (UGK) Muara Bulian. Sistem ini dikembangkan menggunakan bahasa pemrograman PHP dan basis data MySQL, dengan antarmuka responsif berbasis Tailwind CSS. Fitur utama dalam sistem ini adalah implementasi algoritma Auto-Scheduling yang mampu menyusun ratusan jadwal mata kuliah secara otomatis berdasarkan klaster fakultas, menyisipkan waktu istirahat dinamis, dan melompati hari libur. Hasil pengujian menunjukkan bahwa platform ini mampu meningkatkan efisiensi proses administrasi akademik secara signifikan. Sistem juga dilengkapi dengan fitur filter jadwal real-time untuk mahasiswa dan ekspor data ke format CSV terstruktur yang kompatibel dengan Microsoft Excel untuk kebutuhan pencetakan Surat Keputusan (SK).

DESAIN SISTEM E-LEARNING KAMPUS BERBASIS WEB DENGAN PENERAPAN HASHING, ENKRIPSI SIMETRIS, DAN TOKEN KEAMANAN

Hendra Finur, Muhammad Furqan Hakim, Riska Riska , Sahril Saputra — Sat, 30 May 2026 00:00:00 +0700

Information technology adoption in online learning requires higher education institutions to provide an e-learning system that is not only functional but also secure in managing academic and user data. E-learning platforms commonly store sensitive information such as user identities, academic grades, and learning activities, making security a critical factor. However, many e-learning systems are developed without adequate security design from the early stages. This study aims to design a campus e-learning web application using pure PHP by applying cryptography-based data security mechanisms. The research method employs a Research and Development (R&D) approach with a system design orientation. The cryptographic aspects incorporated in the proposed design include cryptographic hashing for securing user authentication, symmetric encryption for protecting sensitive data, and security token mechanisms to ensure the integrity of sessions and system requests. The system design is modeled using Unified Modeling Language (UML) to represent functional requirements and an Entity Relationship Diagram (ERD) to design the database structure. The results of this study are an e-learning system design that includes use case diagrams, a database design, and a cryptography-based security mechanism design. This design is expected to serve as a reference for developing a secure, well-structured campus e-learning application aligned with academic needs.