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Kartika Imam Santoso
Prodi Ilmu Komputer, Universitas An Nuur

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PERANCANGAN SISTEM INFORMASI PENJUALAN PADA TOKO KUEROTI GEMBUL BERBASIS WEB Panca Desvita Putri Yana; Kartika Imam Santoso; Dhika Malita Puspita
Julia: Jurnal Ilmu Komputer An Nuur Vol 6 No 1 (2026): juliajournal
Publisher : LPPM Universitas An Nuur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35720/julia.v6i1.39

Abstract

The development of information technology encourages various business sectors to adopt digital systems in order to improve operational efficiency and effectiveness. Roti Gembul Cake Shop is a micro-enterprise that still conducts its sales processes manually, often facing issues such as recording errors, report delays, and difficulties in managing transaction data. To address these problems, a web-based sales information system was designed, developed using the PHP programming language and MySQL database. The system development uses the Prototyping method, which allows direct interaction with users through the creation of an initial prototype, evaluation, and gradual refinement. The resulting system includes features for recording transactions, managing product data, and generating integrated sales reports that can be accessed in real time. With this system, the sales process is expected to become more efficient, accurate, and supportive of faster decision-making based on valid data.
SENTINEL-CAI: Secure Ensemble of Neural Threat Intelligence with Noise-resilient Extraction Learning dan Constitutional AI Integration untuk Comprehensive Claude AI Security Framework Indri Atun Nafisah; Erika Dwi Saputra; Kartika Imam Santoso; Eko Supriyadi
Julia: Jurnal Ilmu Komputer An Nuur Vol 6 No 2 (2026): juliajurnal
Publisher : LPPM Universitas An Nuur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35720/julia.v6i2.29

Abstract

The massive adoption of Claude AI in mission-critical applications has exposed a variety of sophisticated vulnerabilities, including prompt injection attacks, model inversion, adversarial perturbations, and multi-modal exploitation. This paper develops the SENTINEL-CAI framework that integrates Constitutional AI enhancement, adversarial training, erase-and-check mechanisms, and multi-layered behavioral analysis to create a comprehensive security framework specifically designed for Claude AI protection. The proposed framework combines an ensemble of specialized neural networks for threat classification, constitutional constraint enforcement through reinforcement learning from AI feedback (RLAIF), adversarial robustness training with certified defense guarantees, and real-time behavioral anomaly detection using transformer-based sequence analysis. The evaluation is performed on a comprehensive dataset that includes 25,000 benign prompts, 15,000 malicious injection attempts, and 8,500 zero-day attack simulations against Claude 3.5 Sonnet and Claude Computer Use. Experimental results show that SENTINEL-CAI achieves an attack detection accuracy of 99.2%, a false positive rate of 0.8%, and a certified robustness guarantee up to a perturbation budget of ε = 0.15. This framework successfully detects 96.4% of zero-day prompt injection attacks with an average response time of 0.12 seconds. The main contribution of this research is the development of the first comprehensive security framework specifically engineered for Claude AI with mathematically provable security guarantees and real-world deployment feasibility.
Sistem Reservasi berbasis Web Pada Tata Salon Boloh Agung Rizky Putra Pratama; David Bagus Rivaldi; Retno Wulandari; Kartika Imam Santoso; Andri Triyono
Julia: Jurnal Ilmu Komputer An Nuur Vol 6 No 2 (2026): juliajurnal
Publisher : LPPM Universitas An Nuur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35720/bagc7269

Abstract

The rapid development of information technology demands that beauty salon businesses optimize their operational processes through computerized systems. Tata Salon Boloh still relies on manual management systems, resulting in inefficiencies in customer data management, service scheduling, inventory control, and financial reporting. This study aims to design a web-based salon management information system using Object-Oriented Programming (OOP) concepts with PHP and MySQL to improve accuracy, efficiency, and service quality. The system development method applies waterfall paradigm with OOP approach to ensure modularity and scalability. The database is designed with MySQL to store customer, service, product, transaction, and report data. The research stages include requirements analysis, UML design  implementation, and system testing using a localhost environment. The results show that the developed web-based system features customer management, online booking, service management, product sales, payment gateway integration (Midtrans), financial reporting, and administrative dashboard. Functional testing confirms that all features operate according to salon needs and significantly enhance operational efficiency by 40% with 95% data accuracy. The system also successfully expands market reach by 300% through online booking capabilities. In conclusion, this system supports the digitalization of beauty salon businesses with an intuitive interface, secure data management, and comprehensive business process automation.