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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Triyanna Widiyaningtyas

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4 papers indexed here

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Open access Sep 2026

ACADEMIC PERFORMANCE PREDICTION MODEL FOR STUDENTS BASED ON EDUCATIONAL DATA MINING WITH INTEGRATION OF LEARNING STYLE, SOCIAL, ECONOMIC, AND DEMOGRAPHIC FACTORS

The challenge of homogeneous teaching in higher education often ignores student diversity, which hinders the realization of inclusive education. This study aims to develop an academic performance prediction model based on Educational Data Mining (EDM) by integrating 27 comprehensive features, including learning styles...

Heni Vidia Sari, M. Arief, Triyanna Widiyaningtyas · 0 citations
Open access 2026

IoT-Enabled Smart Soil Monitoring System via Campus Wi-Fi and MySQL Server with Interactive Geospatial Analytics for Agricultural Automation

Precision agriculture requires automated, high-resolution soil health diagnostics to optimize irrigation schedules, fertilizer management, and overall crop productivity. Conventional laboratory soil testing methods are labor-intensive, costly, and lack real-time spatial accessibility. This paper presents an integrated...

Abdul Azim bin Abdul Rashid, Muhammad Asri bin Muhamad Khidzi, Jack Febrian Rusdi et al. · 0 citations
Open access Jul 2026

Optimized BiLSTM and GRU Models Using QHBM for Forex Price Prediction

The foreign exchange market is highly volatile and complex, making accurate price prediction challenging. This study aims to develop an optimized deep learning framework for predicting daily closing prices of seven major currency pairs (AUDUSD, EURUSD, GBPUSD, USDCAD, USDCHF, USDCNY, and USDJPY) by integrating Bidirect...

F. Alqodri, Triyanna Widiyaningtyas, Didik Dwi Prasetya · 0 citations
Open access Aug 2026

Explainable IoT Intrusion Detection Using Random Forest, SMOTE, and SHAP

The proposed RF–SMOTE–SHAP framework delivers a high-performing IoT IDS while providing improved transparency in explaining detection decisions, thereby supporting the development of trustworthy and interpretable IDS solutions for IoT environments.

Julfikar Mawansyah, Anik Nur Handayani, A. Wibawa et al. · 0 citations

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