Pratama, Gerrio Irfan
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Analisis Trade-Off Efisiensi dan Stabilitas pada Kontrol Prediktif Mikroklimat Pratama, Gerrio Irfan; Lestari, Dewi; Bintoro, Ketut Bayu Yogha
Jurnal Teknik Informatika dan Sistem Informasi Vol 12 No 1 (2026): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v12i1.12210

Abstract

Precise microclimate control is a crucial aspect in various IoT applications, yet commonly used reactive, threshold-based control strategies often prove to be inefficient. This study presents a simulation-based comparative analysis to quantitatively evaluate the performance between a reactive control strategy and a more intelligent predictive one. Using time-series humidity data from a Tropidolaemus sp. terrarium, a SARIMA forecasting model was developed and validated to drive the predictive controller. The performance of both strategies was then benchmarked in a simulation environment based on two key metrics: actuation efficiency and environmental stability. The results demonstrate that the predictive controller is significantly more efficient, reducing actuator activations by up to 47% compared to the reactive controller. However, this study reveals a fundamental trade-off: this efficiency is accompanied by a decrease in stability due to an overshoot phenomenon caused by a rigid control action mechanism. This study concludes that the superiority of proactive prediction must be synergized with adaptive action mechanisms to achieve holistic system optimality, while also presenting a simulation methodology as an efficient framework for evaluating intelligent control systems.