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All Journal bit-Tech Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) International Journal of Technology, Food and Agriculture
Pradana, Reza Putra
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering

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Journal : bit-Tech

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Integrasi Digital Twin Real-Time untuk Kendali Perangkat IoT di Lingkungan Smart Campus Pradana, Reza Putra; Pratama, Afis Asryullah; Rosyady, Ahmad Fahriyannur; Kurniasari, Arvita Agus; Afriansyah, Faisal Lutfi
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3367

Abstract

The increasing demand for intelligent and sustainable energy management within higher education institutions has encouraged the adoption of IoT-based solutions; however, traditional IoT dashboards typically rely on text-based device lists and non-intuitive identifiers that lack spatial context. As a result, users often struggle to understand which physical devices they are controlling, leading to confusion, poor user experience, and a higher risk of operational errors when managing smart campus facilities. This study aims to develop and validate a Digital Twin–based Smart Campus system capable of synchronizing physical electronic devices with an interactive 3D virtual environment in real time, providing a spatially accurate digital representation of the lecturer room that mirrors the real-world layout. The research employs a systematic workflow that includes problem identification, literature analysis, installation of IoT devices such as Zigbee smart switches and ESP32 IR blasters, creation of a web-based Digital Twin interface, and development of optimized 3D room models using Blender. System testing was conducted to evaluate physical-to-digital and digital-to-physical synchronization performance, and FPS benchmarking was performed to assess usability across high-end, mid-range, and entry-level devices. The results show that the Digital Twin maintains 100% synchronization accuracy with millisecond-level response times and runs smoothly on diverse hardware. By enabling users to interact with devices directly through a virtual environment that visually matches the real room, the system reduces operational mistakes, improves user experience, and enhances awareness of energy usage. The study concludes that the proposed Digital Twin approach effectively overcomes key limitations of traditional IoT dashboards and offers a scalable, practical framework for Smart Campus implementations.
Smart Campus: Desain dan Implementasi Sistem Monitoring dan Kontrol Lampu dan AC Pratama, Afis Asryullah; Pradana, Reza Putra; Kurniasari, Arvita Agus; Rosyady, Ahmad Fahriyannur; Setyohadi, Dwi Putro Sarwo
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3406

Abstract

The rapid growth of information and communication technology (ICT) has improved many aspects of community life, including access to information, productivity, and innovation. However, the widespread use of digital devices also increases energy consumption due to technological infrastructure and inefficient user behavior, such as leaving equipment powered on when not in use. While technological development can support energy efficiency, developing new energy systems requires complex research. Automation through the Internet of Things (IoT) offers a more practical solution for energy management. In the educational sector, the smart campus concept represents the digital transformation of campus infrastructure to improve operational efficiency and user comfort. This study aims to design and implement a practical, localized, secure, highly interconnected, and scalable monitoring and control system for lights and air conditioners within a campus environment. The system was developed by reviewing previous studies, evaluating available hardware, selecting appropriate network architectures and communication protocols, implementing IoT devices, and integrating them with a server platform. The system utilizes Zigbee communication and a local MQTT broker with authentication to ensure secure and reliable connectivity. Using devices from multiple manufacturers enables interoperability and vendor independence, while scalability is achieved through simple device installation and pairing. Experimental results show reliable performance with response times of 1–3 seconds without errors. Automation features allow lights and air conditioners to activate before working hours and turn off automatically at night if left on, improving energy efficiency and convenience in a smart campus environment.
Co-Authors Afriansyah, Faisal Lutfi Ahmad Fahriyannur Rosyady, Ahmad Fahriyannur David Juli Ariyadi Dwi Putro Sarwo Setyohadi, Dwi Putro Sarwo Fatimatuzzahra Harvyanti , Annisa Fitri Maghfiroh Hermansyah, Mas'ud Khen Dedes Kurniasari, Arvita Agus Lukman Hakim Mulyadi, Ely Pratama, Afis Asryullah Setiawan, Akas Bagus