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EVALUASI PERFORMANSI DETEKSI SERANGAN PADA HIDS OSSEC EKA STEPHANI SINAMBELA
JURNAL ILMIAH KOHESI Vol 4 No 1 (2020): JURNAL ILMIAH KOHESI
Publisher : LP2MTBM MAKARIOZ

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (716.303 KB)

Abstract

HIDS (Host Intrusion Detection system) is an application which is intended for monitoring and protecting the host computer system (server) and its network activities. This intrusion detection system is integrated into the server to detect the intruder attack activities and report the events to the network administrator. Throughout the years, different HIDS technology developed to counter, the computer crime with different type of attacks that attempts for entering the computer system. Therefore, the main goal of this paper is to provide a review of a most-widely used HIDS application called OSSEC. The evaluation process is conducted by applying some scenarios that practice the intruder activities who attempts to penetrate the host computer system. Each scenario is designed to run different intruder attacks that come from one or more attacker. Finally, the performance is evaluated by measuring the response time of OSSEC to detect the intrusion, the consumption of CPU and memory while detecting the intrusion.
SMAC: System for monitoring and automatic control of water, nutrients, and pH in hydroponic nutrient film technique Frengki Simatupang; Istas Pratomo Manalu; Eka Stephani Sinambela; Marojahan Mula Timbul Sigiro; Gerry Italiano Wowiling
IAES International Journal of Robotics and Automation (IJRA) Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijra.v15i2.pp365-376

Abstract

Manual regulation of nutrient solution parameters in hydroponic systems often causes instability and delayed corrective actions. This study presents an Internet of Things (IoT) based system monitoring and automatic control (SMAC) for a nutrient film technique (NFT) hydroponic system to automatically regulate pH, total dissolved solids (TDS), and temperature. The proposed system integrates real-time sensors, automatic actuators, and dual-microcontroller architecture, in which an Arduino Uno performs local control while an ESP32 enables wireless IoT monitoring. An experimental systems engineering approach was applied for system design and performance evaluation. Automatic temperature compensation (ATC) was incorporated into pH and TDS measurements to improve reliability under varying thermal conditions. Experimental results indicate that the temperature sensor achieved an average error of 0.13 °C. The control algorithm corrected pH deviations gradually by approximately ±0.31 pH units (pH Up) and ±0.38 pH units (pH Down) per cycle without overshoot. Nutrient concentration control increased TDS by about 75 ppm per cycle under low-TDS conditions. Stability testing confirmed that pH and TDS remained within optimal ranges after disturbances, while safety mechanisms operated reliably under abnormal temperatures. The results demonstrate that the proposed SMAC system provides accurate, stable, and adaptive control suitable for precision and sustainable hydroponic applications.