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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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BERT Sentimen: Fine-Tuning Multibahasa untuk Ulasan Bahasa Indonesia Khen Dedes; Fatimatuzzahra; Hermansyah, Mas'ud; Setiawan, Akas Bagus; Pradana, Reza Putra; Harvyanti , Annisa Fitri Maghfiroh
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.585

Abstract

Penelitian ini mengevaluasi pengaruh teknik augmentasi dan fine‑tuning terhadap kinerja model BERT multibahasa pada tugas klasifikasi sentimen ulasan film berbahasa Indonesia. Dataset awal terdiri dari 1.200 ulasan; 80% digunakan untuk pelatihan dan validasi (n = 960) dan 20% untuk pengujian (n = 240). Data pelatihan diperluas melalui augmentasi menjadi 2.880 sampel sintetis untuk keperluan fine‑tuning. Model kemudian di‑fine‑tune pada korpus yang diperluas dan dievaluasi menggunakan metrik akurasi, precision, recall, dan F1. Pada set pengujian diperoleh akurasi 82,5%, precision untuk kelas positif 76,0%, recall 95,0%, dan F1‑score 84,44%. Matriks kebingungan menunjukkan TP = 114, FN = 6, FP = 36, dan TN = 84, yang mengindikasikan sensitivitas tinggi terhadap ulasan positif namun terdapat proporsi false positive yang relatif besar. Temuan ini mengindikasikan bahwa augmentasi meningkatkan kemampuan model dalam menangkap sinyal positif (tingginya recall), namun memerlukan penyesuaian lebih lanjut untuk mengurangi kesalahan prediksi positif (meningkatkan precision). Secara keseluruhan, hasil penelitian menyediakan bukti bahwa BERT multibahasa mampu menangani tugas sentimen berbahasa Indonesia dengan performa memadai apabila didukung strategi augmentasi dan prosedur validasi yang tepat.
Prototype Development of IoT-Based Real-Time Smart Parking Monitoring System at Polije’s Second Campus in Bondowoso Ariyadi, David Juli; Hakim, Lukman; Mulyadi, Ely; Hermansyah, Mas'ud; Pradana, Reza Putra
International Journal of Technology, Food and Agriculture Vol. 3 No. 1 (2026): Pebruary
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/tefa.v3i1.6679

Abstract

The increasing number of activities and students at Campus 2 of the State Polytechnic of Jember has led to high vehicle usage, creating pressure on limited parking facilities. Current policies relying on manual verification of Vehicle Registration Certificates (STNK) still result in inefficiencies and security risks due to the lack of automated data recording. This research aims to develop an Internet of Things (IoT)-based Smart Parking System with real-time monitoring to address these challenges. The proposed system integrates RFID for rapid identification, while data is recorded in a real-time database (MySQL with API integration) and displayed through a web-based dashboard. A QR code-based STNK scanning mechanism is also incorporated to strengthen vehicle authentication. Based on the results of trials and implementation, the system is able to run optimally with the RFID sensor reading success rate reaching 100% at a distance of 1–2 cm. The database integration performance shows stable results, with the average data storage time in the database being approximately 3.86 seconds, which is still categorized as real-time. This prototype successfully improves data collection accuracy, enables real-time supervision, and provides statistical insights into parking utilization. In conclusion, the implementation of this IoT-based smart parking system is proven to reduce manual intervention, enhance operational efficiency, and support campus parking management that is more transparent, efficient, and measurable. This innovation contributes to the transition toward a smart campus and supports digital governance at Polije’s Second Campus in Bondowoso.
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