Basrah Nasution
Universitas Indonesia

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Analysis of Government Employees’ Information Security Awareness: A Case Study of Pusinfowas BPKP Basrah Nasution; Setiadi Yazid; Yudho Giri Sucahyo
SISTEMASI Vol 15, No 4 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i4.6259

Abstract

The utilization of information technology as a tool that is widely believed to facilitate business processes within organizations is inseparable from challenges related to information security threats. According to the 2024 cyber incident report issued by the National Cyber and Crypto Agency (BSSN), data exposure threats accounted for 58.34%, with most incidents originating from the government administration sector. Humans are considered the weakest link in information security; therefore, the primary effort to improve security can begin with measuring the level of security awareness. Among the various work units within BPKP, Pusinfowas, as the central information technology management unit, is considered an appropriate sample for evaluation and is expected to contribute to improving information security awareness across other units. This study employs the Human Aspects of Information Security Questionnaire (HAIS-Q) model to measure the level of information security awareness among employees at Pusinfowas. The HAIS-Q model consists of three dimensions—knowledge, attitude, and behavior—and seven focus areas: password management, email use, internet use, social media use, mobile device use, information handling, and incident reporting. The results indicate that employees’ information security awareness is at a “Good” level, with scores ranging between 80% and 100% across all HAIS-Q dimensions and focus areas.
Unraveling Insights from User Reviews of Sapawarga – Jabar Super Apps Through Topic Modeling Basrah Nasution; Indra Budi; Aris Budi Santoso; Prabu Kresna Putra
Journal of Applied Informatics and Computing Vol. 10 No. 4 (2026): August 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i4.12624

Abstract

This study conducted topic modeling on user reviews of the Sapawarga – Jabar Super App application on the Google Play Store. The dataset comprised user reviews submitted since the date application released until January 7, 2026 yielded 5.082 user reviews. Collected data processed through a series of data processing pipeline namely case folding, remove punctuation, normalization, tokenization, stop word removal and stemming. Topic modeling was conducted using Latent Dirichlet Allocation (LDA) algorithm grouped based on year of data. Topic distribution was visualized using the PyLDAvis to facilitate analysis and interpretation. This study found there are 9 topic after analysing year by year data namely Appreciation of the usefulness of the application in helping residents (1), Technical issues in terms of how to log in to the application (2), Application improvement proposal (3), Ease of information and citizen empowerment (4), General expressions of appreciation and criticism from citizens towards the application (5), Technical issues with payment features (6), Application error problem (7), User appreciation for the ease of vehicle tax payments from the application (8) and Criticism of application constraints in vehicle tax payments (9). The interpretation results indicate that the application is widely used by residents for online tax payments, particularly vehicle tax services, compared to other features or uses of the application. The findings of this study are expected to serve as a valuable insight for relevant stakeholders to improve the quality, performance, and overall effectiveness of the application as a public service platform.