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Risk Management Evaluation Based on ISO/IEC 27005 Framework: A Case Study of ABC Company IT Workshop Room Muhammad Ferdi Kurniawan; Triana Dewi Salma
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4549

Abstract

ABC Company operates as a technology firm based in France, maintaining its research and development operations in Jakarta. The company produces digital security technologies—biometrics, facial recognition systems, and digital identity solutions—alongside telecommunications and payment products including SIM cards, banking cards, and smart cards. Given how much the company relies on technology and secure information handling, it needs strong systems and infrastructure, especially when dealing with sensitive data. Yet no one has conducted a risk management assessment of the IT workshop room. Several problems have emerged with the physical security of this important area, such as people misusing access privileges and assets going missing. This research evaluates how the company manages information security risks by first identifying what's causing these problems through a fishbone diagram that looks at people, technology, and processes. We then assessed risks using the ISO/IEC 27005:2018 standard across 12 assets, examining threats, current controls, weak points, and what treatments are needed. Our analysis shows three assets (A5, A6, A7) carry high risk, three others (A4, A9, A12) have medium risk, and six assets (A1, A2, A3, A8, A10, A11) present low risk. Using these results, we developed specific recommendations for handling risks associated with each asset to improve information security throughout the company.
Analisis Sentimen Berbasis Transformer: Persepsi Publik terhadap Nusantara pada Perayaan Kemerdekaan Indonesia yang Pertama Triana Dewi Salma; Muhammad Ferdi Kurniawan; Rizqi Darmawan; Amat Basri
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i2.3535

Abstract

The inaugural Indonesian Independence Day celebration in the new capital, Nusantara, marked a historic milestone. This study analyzes public sentiment toward this event using the IndoBERT model. Data was collected from Twitter during the celebration period and classified into positive, negative, and neutral sentiments. Three main approaches were employed: IndoBERT as a baseline, IndoBERT fine-tuned with IndoNLU data, and IndoBERT applied to TextBlob-labeled data. Results indicate that the TextBlob-IndoBERT model outperforms the others, effectively processing informal Indonesian text with high accuracy. These findings provide strategic insights for the government in understanding public perception regarding the development of Nusantara and demonstrate the potential of Transformer-based sentiment analysis for the Indonesian language. The study recommends further exploration of factors influencing sentiment and analysis on other social media platforms.