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INDONESIA
Jurnal ULTIMATICS
Published by Universitas Multimedia Nusantara
ISSN : 20854552     EISSN : 2581186X     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
Jurnal ULTIMATICS merupakan Jurnal Program Studi Teknik Informatika Universitas Multimedia Nusantara yang menyajikan artikel-artikel penelitian ilmiah dalam bidang analisis dan desain sistem, programming, algoritma, rekayasa perangkat lunak, serta isu-isu teoritis dan praktis yang terkini, mencakup komputasi, kecerdasan buatan, pemrograman sistem mobile, serta topik lainnya di bidang Teknik Informatika. Jurnal ULTIMATICS terbit secara berkala dua kali dalam setahun (Juni dan Desember) dan dikelola oleh Program Studi Teknik Informatika Universitas Multimedia Nusantara bekerjasama dengan UMN Press.
Arjuna Subject : -
Articles 292 Documents
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Integration of Internet of Things Technology in Digital-Based Residential Security Application Ghaniy, Rajib; Wicaksana, Binanda; Arnes, Fahmi; Melati, Laras; Septiana, Helena
ULTIMATICS Vol 17 No 2 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v17i2.4518

Abstract

This study evaluates the usability of an IoT-based residential security application designed to improve guest registration and access control in housing environments. The system integrates multiple user roles, including administrators, residents, guests, and security officers, and utilizes QR Code verification to streamline entry procedures. Usability testing was conducted using the System Usability Scale (SUS) with 30 respondents. The results show an average SUS score of 74.83, indicating that the application falls within the “Good” usability category. Most users reported that the interface is intuitive, the functions are well integrated, and system navigation is easy to understand. Although minor improvements are still required—such as notification speed and icon clarity—the system is considered acceptable for public use. These findings demonstrate that IoT integration can enhance residential security operations while maintaining positive user experience.
Multiclass Emotion Detection on YouTube Comments Using IndoBERT: A Web-Based Incremental Learning System with Multiple Data Split Evaluation Naufal; Saputra, Nurirwan
ULTIMATICS Vol 17 No 2 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v17i2.4558

Abstract

YouTube comments contain rich emotional expressions, but their large volume makes manual analysis inefficient. This study proposes a multiclass emotion classification approach for Indonesian YouTube comments using the IndoBERT model integrated with a database-driven incremental learning system. Comment data were collected through the YouTube Data API and labeled into six emotion categories: anger, sadness, happiness, fear, surprise, and neutral. Text preprocessing included lowercasing, text cleaning, and normalization of informal Indonesian words. The model was fine-tuned using three training–testing split scenarios (60:40, 70:30, and 80:20). The results show that the 80:20 split achieved the highest accuracy of 68%, influenced by an imbalanced class distribution with underrepresented minority classes. In addition, the system supports continuous data storage and incremental retraining, allowing the model to learn from new data without retraining from scratch. This adaptive mechanism makes the proposed system suitable for long-term emotion analysis on YouTube comments.

Page 30 of 30 | Total Record : 292

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