Author

S. Ramadhani

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Open access Sep 2026

A hybrid parameter-tuning for adaptive variable-length particle swarm optimisation in cancer feature selection

Overall, VL-APSO-LS provides a robust, adaptive, and statistically validated optimisation framework for high-dimensional biomedical classification and achieves perfect classification accuracy on the Leukaemia dataset.

S. Wang, Siti Ramadhani, M. Fikry et al. · Applied Computer Science · 0 citations

Open access Jul 2026

Design and Development of an Internet of Things (IoT)- Based Prototype Drainage Water Level Monitoring System for Oil Palm Plantations

Oil palm plantations require effective drainage management systems to maintain stable water levels and prevent waterlogging and flooding that can negatively affect crop productivity. Conventional manual water level monitoring has limitations in terms of speed, accuracy, and real-time information availability. This stud...

Rohatul Qolby, S. Ramadhani, Riri Nasirly et al. · Jurnal Teknik Industri Terin... · 0 citations