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All Journal Secure And Knowledge-Intelligent Research in Cybersecurity And Multimedia (SAKIRA)
Aisyah Aryandani
Universitas Islam Al-Azhar
Computer Science & IT Engineering Law, Crime, Criminology & Criminal Justice

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The impact of AI-based Content Personalization on Consumer Behavioron Digital News Platforms Insania Juliani; Bq. Hairunnisa; Aisyah Aryandani
Secure And Knowledge-Intelligent Research in Cybersecurity And Multimedia (SAKIRA) Vol. 3 No. 2 (2025): Digital Transformation and Its Impact on Behavior, Literacy, and Information Se
Publisher : Universitas Islam Al-Azhar Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36679/s4kira.v3i2.51

Abstract

The rapid advancement of artifical intelligence (AI) has significantly transformed the landscape of digital marketing. One of the most prominent applications of AI in this domain is content personalization, which enables bussines to deliver tailored experiences based on individual user preferences, behaviors, and online interaction. This study aims to examine the impact of AI-driven contentpersonalization on consumer behavior, focusing specifically on aspects such as engagement, satisfaction, and costumer loyality. A quantitative research approach was employed through an online survey conducted with 100 active users of digital platforms that incorporate personalzed content features. The survey findings indicate that a substantial portion of respondents believe personalized content enhances their overall browsing experience, increases relevance, and fosters a stronger emotional connection with the platform. Specifically, 72% of respondents agreed that personalized content made them feel more valued and understood by the service provider, while 65% expressed a higher likelihood of returning to platforms that consistently offer tailored recommendations. These results suggest that AI-based personalization can significantly influence consumer decisionmaking by creating more relevant and engaging interactions, ultimately encouraging long-term brand loyalty. However, the study also reveals a growing concern among users regarding data privacy. A portion of the respondents expressed discomfort over the extensive collection and usage of personal information required for such personalization, highlighting the ethical and regulatory challenges that must be addressed. Therefore, while AI personalization offers clear benefits in enhancing marketing strategies and user experience, it also demands careful consideration of user consent and data protection policies. In conclusion, the integration of AI personalization in digital marketing can serve as a powerful tool for improving consumer engagement and satisfaction. Yet, companies must strike a balance between personalization and privacy to maintain trust and transparency. Future research could explore the long-term behavioral effects of personalization and examine cross-cultural differences in user responses to AI-driven marketing.
UI/UX Design of Academic Applications and Libraries at Universitas Islam Al-Azhar Based on Mobile App Damar Giri Prada; M. Juniar Alfarizi; Aisyah Aryandani
Secure And Knowledge-Intelligent Research in Cybersecurity And Multimedia (SAKIRA) Vol. 3 No. 01 (2025): The Role of Digital Technology in Enhancing Education, Security, and Business
Publisher : Universitas Islam Al-Azhar Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36679/s4kira.v3i1.26

Abstract

The development of academic applications that integrate digital libraries and academic information systems is becoming increasingly important in higher education institutions. This study aims to design the User Interface and User Experience Design of a mobile-based application for Al-Azhar Islamic University that combines these two systems using the Design Thinking method. Through the stages of empathize, define, ideate, prototype, and test, user-centered insights are collected and translated into a functional and visually appealing prototype using Figma, Figma is used because of its advantages for simultaneous design. The survey results showed that most students had difficulty accessing academic materials and navigating existing platforms. The final prototype integrates academic and library functions with a consistent and user-friendly interface that aligns with the university's visual identity. The results show that the prototype meets user expectations in terms of clarity, usability, and shows potential for improving and developing academics. This study takes a new approach to integrating academic information systems and digital libraries into one mobile application through collaborative UI/UX design.
Analysis of WiFi Network Performance Using Wireshark Based on QoS Parameters: A Case Study of IndiHome Network Deska Rohendi; Abdul Nizar; Aisyah Aryandani; Ari Rudiyan
Secure And Knowledge-Intelligent Research in Cybersecurity And Multimedia (SAKIRA) Vol. 4 No. 01 (2026): Emerging Issues in Digital Technology, Social Media, Cybersecurity, and Inform
Publisher : Universitas Islam Al-Azhar Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36679/s4kira.v4i1.80

Abstract

The rapid development of internet network technology demands reliable service quality so that user activities can run optimally. This study aims to analyze the performance of the IndiHome WiFi network with a speed of 75 Mbps based on Quality of Service (QoS) parameters, which include delay, throughput, packet loss, and jitter. The method used is descriptive quantitative by directly collecting data through the network packet capture process using the Wireshark version 4.6.4 application. Data collection was carried out through three measurement sessions for each internet activity, namely browsing, streaming, and downloading, to generate network traffic. The results showed that the average delay values for browsing, streaming, and download activities were 18.85 ms, 23.87 ms, and 31.61 ms, respectively. The average throughput values obtained were 12.41 Mbps for browsing, 28.55 Mbps for streaming, and 61.84 Mbps for download. The average packet loss values were 0.10%, 0.35%, and 0.59%, while the average jitter values were 3.21 ms, 6.83 ms, and 9.88 ms for each activity. Based on the TIPHON standard, the delay, packet loss, and jitter parameters are categorized as Very Good, while the throughput for browsing and streaming activities is categorized as Medium due to the nature of the activities that do not require full bandwidth usage. Overall, the IndiHome WiFi network with a speed of 75 Mbps has Very Good service quality and is suitable for supporting various digital activities simultaneously.
Co-Authors Abdul Nizar Ari Rudiyan Bq. Hairunnisa Damar Giri Prada Deska Rohendi Insania Juliani M. Juniar Alfarizi