Repository FTI UNSAP

Jaringan Komputer: Teori, Konsep, dan Implementasi

2025-08-20T06:13:33+00:00

Buku "Jaringan Komputer: Teori, Konsep dan Implementasi" ini dirancang sebagai referensi komprehensif bagi mahasiswa dan praktisi yang ingin memahami dunia Jaringan Komputer secara mendalam. Buku ini mengulas mulai dari dasar-asar arsitektur jaringan, model OSI, dan perangkat jaringan hingga topik lanjutan seperti 5G, Internet of Things (IoT), Virtualisasi dan keamanan jaringan. Setiap BAB dilengkapi dengan teori yang mendasar, studi kasus nyata, diagram ilustratif, serta hasil riset terbaru.

Sistem Operasi: Teori dan Konsep Dasar

2025-08-20T06:29:42+00:00

Sistem operasi populier seperti windows, Linux, macOS, Android, dan ios tidak hanya memimpin pasar dalam kategori mereka masing-masing, tetapi juga mempengaruhi bagaimana perangkat keras dan perangkat lunak berkembang. Windows, misanya, telah menjadi standar de facto untuk komputer pribadi, menawarkan antarmuka grafis yang user-friendly dan dukungan ekosistem aplikasi yang luas. Linux, dengan sifat open-source dan fleksibilitas tinggi, telah menjadi fondasi dari sebagian besar server, superkomputer, dan perangkat loT. MacOS menawarkan integrasi yang mulus dengan produk Apple lainnya dan memberikan pengalaman pengguna premium yang dioptimalkan untuk performa dan keamanan. Di dunia mobile, Android memberikan kebebasan kustomisasi kepada produsen dan pengguna, sementara iOS dikenal dengan keamanan yang ketat dan kontrol kualitas aplikasi yang tinggi.

Keamanan Teknologi Informasi: Teori, Risiko, dan Strategi Pertahanan di Era Digital

2025-08-20T07:07:37+00:00

Pengantar Sistem Digital

2025-08-20T07:13:37+00:00

Quantitative Analysis of the Key Factors Driving Cybersecurity Awareness Among Information Systems Users

2025-08-20T07:29:56+00:00

Cybersecurity threats are increasingly complex and widespread, posing significant risks to individuals and organizations. However, many studies tend to address the technological or behavioral aspects separately. The study uses a survey-based quantitative approach using PLS-SEM to analyze key factors that influence cybersecurity awareness, including demographics, training, psychological bias, and organizational culture. The findings suggest that several constructs-such as threat awareness, perceived risk, and education-significantly predict cybersecurity awareness and behaviour. Notably, the model yields an R² value of up to 0.703 with a strong path significance (p < 0.05), which underscores the robustness of the relationship. This study offers an integrated perspective on cybersecurity by bridging the psychological, educational, and organizational dimensions. It highlights cybersecurity awareness as a mediating construct that links upstream factors to secure user behavior-a relational structure that has not been explored in previous research

Cybersecurity Awareness and Its Impact on the Association Between Technology Use and Adolescent Mental Health

2026-05-21T05:27:02+00:00

This research examines the relationship between adolescents' technology use, cybersecurity awareness, and its impact on mental well-being, highlighting the role of digital literacy and responsible online behaviour in achieving positive outcomes. The study examines both negative and positive effects of digital media, advocating for methodological precision to capture associations with mental health. With the evolution of the internet, extensive research has emerged on the impact of digital technology on health, education, and human development. Digital platforms are integral to adolescents' social lives, education, and entertainment, raising concerns about risks like cyberbullying, privacy violations, and exposure to inappropriate content. Findings indicate significant interplay between technology use, cybersecurity awareness, and mental health, with higher awareness and proactive security behaviours linked to better outcomes. Adolescents spend more time online than any other age group, and the increase in use raises concerns about potential negative effects. Notably, existing research emphasises the risks of digital technology, lacking evidence of its benefits. Results highlight cybersecurity awareness's critical role in mediating technology use's effects on mental health and the importance of behavioural intention in shaping cybersecurity practices

Evaluation of GeoGebra Implementation in Schools: A Combined TAM and IS Success Model Approach

2026-05-21T05:36:31+00:00

This study evaluates the implementation of GeoGebra in mathematics education by integrating the Technology Acceptance Model and the Information Systems Success Model. The hybrid model enables a multifaceted assessment, capturing both user acceptance and the broader organisational impacts of the technology. Quantitative data, gathered through surveys and statistical analysis, measures GeoGebra adoption, perceived usefulness, and ease of use among teachers and students. Qualitative data, collected through interviews, focus groups, and classroom observations, provides insights into the experiences of teachers and students using GeoGebra. Data analysis involves descriptive and inferential statistics to compare user perceptions and examine the relationships between variables, such as the impact of perceived usefulness and system quality on user satisfaction and behavioural intention. The findings offer practical consequences for educational institutions and mathematics teachers wishing to successfully incorporate GeoGebra into their mathematics curriculum by addressing technical complexity and providing sufficient assistance

Evaluation of Healthcare Professionals’ Satisfaction with the Use of AI in Supporting Clinical Diagnosis

2026-05-21T05:51:23+00:00

The integration of artificial intelligence in clinical diagnosis promises improved efficiency and accuracy, but healthcare professionals' acceptance and satisfaction with this technology remain concerns. This study assessed the satisfaction levels of healthcare professionals utilising AI in clinical diagnosis, with a focus on the factors that influence their attitudes toward AI tools. A mixed-methods approach was employed, combining quantitative and qualitative methods. Quantitative data were collected through surveys that measured satisfaction and explored perceptions, experiences, and concerns regarding the use of AI in clinical diagnosis. Quantitative analysis used descriptive and inferential statistics, and qualitative data were analysed through thematic analysis. Results indicated that satisfaction levels with AI varied based on factors such as transparency, reliability, and ethical considerations. Main concerns included a lack of understanding of AI algorithms, potential bias in decision-making, and legal liability implications. Conversely, professionals with positive AI experiences viewed it as a tool to reduce workload and enhance efficiency. This discussion highlights the importance of developing a comprehensive strategy to improve awareness, offer targeted training, establish clear ethical guidelines, and promote collaboration between AI developers and healthcare professionals. The study concludes that successful AI integration in clinical diagnosis requires attention to psychological, social, and ethical factors. By addressing barriers and maximising the potential of AI, the healthcare community can create a more efficient, empathetic, and equitable system