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Implementing Defense-in-Depth Framework on Orange Pi NAS Using Host-Based Security and ZFS Hady, Muhammad Fatih; Pratama, Hafiyyan Putra
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.11801

Abstract

Network-Attached Storage (NAS) based on low cost Single Board Computers (SBC) offers an affordable alternative to commercial storage systems, yet its exposure to network-based threats requires a robust and layered security approach. This research implements the Defense-in-Depth (DiD) framework on an Orange Pi based NAS running Debian 12, integrating host-based security mechanisms and the ZFS file system to enhance data integrity, availability, and system resilience. The security layers include firewall restrictions, intrusion prevention with Fail2Ban, integrity monitoring using AIDE and rkhunter, system auditing with Lynis, and log analysis with Logwatch. Additionally, ZFS snapshots and the Sanoid retention policy are applied to provide rapid data recovery with minimal storage overhead. Experimental results show that all defense layers function effectively under testing scenarios such as brute-force attempts, unauthorized port access, file modification, and data deletion. ZFS snapshots successfully restore deleted or altered files, ensuring minimal Recovery Point Objective (RPO) of one hour. System performance remained stable, with CPU usage averaging only 7.9% and memory usage at 33%, indicating that the DiD model is feasible even on low-resource SBC hardware. These findings demonstrate that a cost-efficient SBC-based NAS can achieve strong resilience against common cyber threats through layered security design and modern file system capabilities.
IoT-Based Smart Plug with Real-Time Energy Measurement Optimization and Adaptive Current Cutoff Muntaha Hasanah; Dewi Indriati Hadi Putri; Hafiyyan Putra Pratama
Jurnal Elektronika dan Telekomunikasi Vol. 25 No. 1 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.673

Abstract

The use of electrical energy as a primary power source is increasing, with the residential sector being one of the largest consumers. Electrical energy expenditure often occurs accidentally, potentially leading to energy waste. This research develops an IoT-based electricity usage monitoring system to minimize electrical energy waste and help users improve efficiency and protection against voltage spikes using the R&D approach with a waterfall model.There are 3 layers of IoT architecture using the PZEM-004T sensor as a measuring device for electrical parameters and ESP8266 as a communication module where the results of the sensor readings will be displayed in real-time on the LCD and Blynk with a time difference of 1.6 seconds, in addition to the cost indicator, and the current flowing conditions are also displayed. Sensor readings are valid with values < ± 0.5% for current and voltage and < ± 1% for power readings. System monitoring tests were carried out on 10 electronic devices, and the results of the estimated electricity costs from the use of electrical energy of these electronic devices were obtained. The system is also equipped with a protection feature displayed with a warning indicator, where if the current exceeds 3.1A, the power will automatically be cut off within 15 seconds. This system provides a solution to the efficiency of electrical energy expenditure and provides more protection.
Adaptive System for Streetlights in the Shopping Center Area of Purwakarta Region using Fuzzy Logic Method Hadi Putri, Dewi Indriati; Pratama, Hafiyyan Putra; Venica, Liptia; Merdeka, Vormes Gema; Kautsar, Makna A'raaf
Journal of Electrical, Electronic, Information, and Communication Technology Vol 5, No 2 (2023): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.5.2.79675

Abstract

Streetlight systems generally use time condition as the parameter, which set the lights to be always on during specified period. This way, the system has flaws in its inefficiency and ineffectiveness. The system designed in this research considers the intensity of surrounding lights and passing pedestrians as the parameters, and fuzzy logic to get fuzzier output of the luminosity level for the streetlight. From the results of testing and analysis, it can be concluded that the design in this research has been successfully built as the results obtained are in accordance with the previously set fuzzy logic universe of discourse. By implementing an adaptive street lighting system in this study can help streamline light energy, because the street lighting lights can adjust themselves depending on the presence or absence of pedestrians passing by using a PIR sensor and the level of light brightness in that place using an LDR sensor.