4 articles for “Yaddarabullah”

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Research ArticleOpen accessIn the author namesA Sentiment-Based Evaluation of Museum Display Design through Hybrid IndoBERT and Rule-Based LexiconErneza Dewi Krishnasari, Yaddarabullah, Bayyinah Nurrul Haq et al.Traditional museums remain vital cultural institutions but face persistent challenges in engaging contemporary audiences. The Wayang Museum in Indonesia, despite partial digital renovation, continues to rely heavily on static, text-based displays that often hinder visual comfort and informational comprehension. Conventional sentiment analysis techniques have demonstrated limitations in accurately capturing the subtle feedback from visitors, particularly within the culturally nuanced contexts … …Journal of Computer Science, Vol. 22, Issue 5 · 30 May 2026 · 1,326 accessesView PDF Cite

Research ArticleOpen accessIn the author namesA Context-Aware Temporal Convolutional Network for Water Replacement Prediction in Catfish Biofloc Ponds With Imbalanced Event HandlingYaddarabullah, Inanpi Hidayati Sumiasih, Mutiara Dewi PuspitawatiWater replacement is a biologically critical yet under-automated decision in biofloc-based aquaculture systems. Mistimed actions can destabilize microbial ecosystems, elevate fish mortality, and compromise sustainability through excessive water usage. Traditional rule-based heuristics often fail to account for the nonlinear and multiscale dynamics of pond environments. To address this, we propose a Context-Aware Temporal Convolutional Network (CA-TCN), a rare-event classification framework … …Journal of Computer Science, Vol. 22, Issue 3 · 5 Mar 2026 · 1,664 accessesView PDF Cite

Research ArticleOpen accessIn the author namesCooling Load Prediction in the Under-Actuated Zone with Multilayer Perceptron Artificial Neural NetworkYaddarabullah, Aedah Abd Rahman, Amna SaadThis study focuses on addressing the challenge of predicting cooling loads in under-actuated zones, where the variability in occupant behavior, environmental conditions, and electronic usage creates complex dynamics. Traditional models like Support Vector Regression (SVR) and E-Lastic-Net (ELN) often struggle to capture these non-linear relationships, leading to inefficient Heating, Ventilation, and Air Conditioning (HVAC) management and increased energy consumption. To … …Journal of Computer Science, Vol. 21, Issue 3 · 27 Jan 2025 · 5,300 accessesView PDF Cite

Research ArticleOpen accessIn the author namesMeasurement of Cooling Load-Based Occupant Behavior in Under-Actuated Zones: A Time-Variance ApproachYaddarabullah, Yusuf Maulana Akbar, Aedah Binti Abd Rahman, Amna SaadThis research is dedicated to the enhancement of Heating, Ventilation, and Air-Conditioning (HVAC) systems through an innovative investigation of occupant behavior within under-actuated zones. These zones are strategically positioned to elevate indoor air quality and comfort through the intelligent utilization of HVAC systems. However, accurately measuring the cooling loads within these zones, which are inherently influenced by the presence of … …American Journal of Applied Sciences, Vol. 20, Issue 1 · 11 Dec 2023 · 6,158 accessesView PDF Cite