GENERATION Z'S AND ANDROID OS: HOW USER EXPERIENCE, SECURITY, AND SYSTEM PERFORMANCE SHAPE SATISFACTION

Cahyasari Kartika Murni; Achmad Firman  Choiri; Fadhel Akhmad Hizham

doi:10.33480/pilar.v21i1.6082

Authors

Cahyasari Kartika Murni Institut Teknologi dan Bisnis Widya Gama Lumajang
Achmad Firman Choiri Institut Teknologi dan Bisnis Widyagama Lumajang
Fadhel Akhmad Hizham Institut Teknologi dan Bisnis Widyagama Lumajang

DOI:

https://doi.org/10.33480/pilar.v21i1.6082

Keywords:

android os, generation z, security and privacy, user experience, user satisfaction

Abstract

This paper investigates Generation Z's opinion of the Android OS through an analysis of system performance, security, and user experience and their influence on general satisfaction. With Technology Adaptation (Z) as a mediator, the study focuses on three main factors: User Experience (X1), Security and Privacy (X2), and System Performance and Stability (X3), specifically among students who use Android devices. Data were collected through a structured questionnaire, and the analysis was conducted using the Partial Least Squares (PLS) method to evaluate the relationships between the variables. The findings reveal that, in addition to frequent updates, Generation Z's satisfaction is significantly influenced by the accessibility, performance, and security features of Android. The results highlight the importance of a positive user experience and robust security measures in enhancing user satisfaction. Continuous development in these areas is crucial for improving user engagement and contentment with Android devices.

Downloads

Download data is not yet available.

References

Ainani Lukman, N., & Indrawati, I. (2024). Analysis of E-Servqual Dimensions Influencing E-Customer Satisfaction of My First Media Application Users. International Journal of Science, Technology & Management, 5(2), 440–447. https://doi.org/10.46729/ijstm.v5i2.1072

Alahmad, R., & Robert, L. P. (2021). Capturing the Complexity of Cognitive Computing Systems: Co-Adaptation Theory for Individuals. Proceedings of the 2021 Computers and People Research Conference, 93–95. https://doi.org/10.1145/3458026.3462148

Alonso-García, M., Pardo-Vicente, M.-Á., Rodríguez-Parada, L., & Moreno Nieto, D. (2020). Do Products Respond to User Desires? A Case Study. Errors and Successes in the Design Process, under the Umbrella of Emotional Design. Symmetry, 12(8), 1350. https://doi.org/10.3390/sym12081350

Anderjovi, S., Hamzah, M. L., Maita, I., & Ahsyar, T. K. (2022). User Satisfaction Analysis of E-Learning Using End User Computing Satisfaction in Covid 19. Proceedings of the International Conference on Industrial Engineering and Operations Management, 1–7. https://doi.org/10.46254/AF03.20220502

Aval, R. N., Baigi, S. F. M., Sarbaz, M., & Kimiafar, K. (2022). Security, Privacy, and Confidentiality in Electronic Prescribing Systems: A Review Study. Frontiers in Health Informatics, 11(1), 115. https://doi.org/10.30699/fhi.v11i1.374

Berger, H., Hajaj, C., & Dvir, A. (2022). Problem-space evasion attacks in the Android OS: a survey. arXiv preprint arXiv:2205.14576.

Budi Pratomo, A., Kurnia Harahap, M. A., Oswari, T., Akhirianto, P. M., & Widarman, A. (2023). The Application of End User Computing Satisfaction (EUCS) to Analyze the Satisfaction of MyPertamina User. Jurnal Sistim Informasi Dan Teknologi, 78–83. https://doi.org/10.37034/jsisfotek.v5i1.205

Candiwan, Sudirman, B. P., & Sari, P. K. (2023). Differences in Information Security Behavior of Smartphone Users in Indonesia Using Pearsonâ€TMs Chi-Square and Post Hoc Test. International Journal on Advanced Science Engineering and Information Technology, 13(2), 703–717. https://doi.org/10.18517/ijaseit.13.2.17975

Dao, N., Tran, A.-T., Tu, N. H., Thanh, T. T., Bao, V. N. Q., & Cho, S. (2022). A Contemporary Survey on Live Video Streaming from a Computation-Driven Perspective. ACM Computing Surveys, 54(10s), 1–38. https://doi.org/10.1145/3519552

Dhany, U. R., & Rahmansyah, A. I. (2022). Pengaruh Return on Assets dan Debt To Equity Terhadap Return Saham Degan Inflasi Sebagai Pemoderasi. Owner : Riset Dan Jurnal Akuntansi, 6(3), 3312–3323. https://doi.org/10.33395/OWNER.V6I3.1110

Dominguez, A., Florez, J., Lafuente, A., Masneri, S., Tamayo, I., & Zorrilla, M. (2020). A Methodology for User Interface Adaptation of Multi-Device Broadcast-Broadband Services. IEEE Access, 8, 211048–211062. https://doi.org/10.1109/ACCESS.2020.3039616

Fitriana, L., Haris, R. A., & Rahmansyah, A. I. (2024). Pengaruh Rasio Likuiditas, Rasio Solvabilitas Dan Rasio Profitabilitas Terhadap Financial Distress Dengan Kepemilikan Manajerial Sebagai Variabel Moderasi (Studi Pada Perusahaan Sub Sektor Makanan & Minuman Di BEI Periode 2020-2022). Jurnal PenKoMi : Kajian Pendidikan Dan Ekonomi, 7(2), 160–168. https://doi.org/10.33627/PK.V7I2.2060

Gamba, J., Feal, Á. Blazquez, E., Bandara, V., Razaghpanah, A., Tapiador, J. E., & Vallina-Rodriguez, N. (2024). Mules and Permission Laundering in Android: Dissecting Custom Permissions in the Wild. IEEE Transactions on Dependable and Secure Computing, 21(4), 1801–1816. https://doi.org/10.1109/tdsc.2023.3288981

Hajesmaeel-Gohari, S., Khordastan, F., Fatehi, F., Samzadeh, H., & Bahaadinbeigy, K. (2022). The Most Used Questionnaires for Evaluating Satisfaction, Usability, Acceptance, and Quality Outcomes of Mobile Health. BMC Medical Informatics and Decision Making, 22(1). https://doi.org/10.1186/s12911-022-01764-2

Herwati, I., Ayu, J. P., & Mustafida, L. (2023). User Satisfaction Analysis of Hospital Management Information System Using the EUCS Method at Mitra Delima Hospital. Jurnal Manajemen Kesehatan Indonesia, 11(3), 260–268. https://doi.org/10.14710/jmki.11.3.2023.260-268

Heryanto, A. (2023). A Novel Framework for Enhancing User Experience in Virtual Reality Environments. International Journal of Computer Engineering in Research Trends, 10(2), 61–68. https://doi.org/10.22362/ijcert/2023/v10/i02/v10i0203

Hudzafidah, K., Dhany, U. R., Rahmansyah, A. I., & Bahri, M. S. (2023). The Effect of Profitability on Social Responsibility (CSR) in Indonesia: Environmental Performance as a Moderator. Wiga : Jurnal Penelitian Ilmu Ekonomi, 13(1), 103–113. https://doi.org/10.30741/WIGA.V13I1.974

Hudzafidah, K., Rahmansyah, A. I., Dhany, U. R., & Suharsono, J. (2023). PENGARUH RASIO PROFITABILITAS TERHADAP HARGA SAHAM DENGAN IPO SEBAGAI VARIABEL MODERATING. Jesya (Jurnal Ekonomi Dan Ekonomi Syariah), 6(1), 1090–1099. https://doi.org/10.36778/JESYA.V6I1.1163

Ibrahim, I. M. (2023). Feature Selection for Android Malware Detection with Random Forest on Smartphones. Revue D Intelligence Artificielle, 37(4), 857–869. https://doi.org/10.18280/ria.370405

Khan, K. (2023). User-Centric Algorithms: Sculpting the Future of Adaptive Video Streaming. International Transactions on Electrical Engineering and Computer Science, 2(4), 155–162. https://doi.org/10.62760/iteecs.2.4.2023.62

Kian, T. P., & Min, L. C. (2024). Determinants of User Satisfaction on E-Commerce Chatbot: A Study on Gen-Y. Proceedings of the 9th International Conference on Marketing and Retailing (INCOMaR 2023), 133, Tan Pei-197. https://doi.org/10.15405/epsbs.2024.05.16

Kim, E. S., Laird, L., Wilson, C., Bieg, T., Mildner, P., Möller, S., Schatz, R., Schwarz, S., Spang, R., Voigt-Antons, J., & Rochon, E. (2021). Implementation and Effects of an Information Technology–Based Intervention to Support Speech and Language Therapy among Stroke Patients With Aphasia: Protocol for a Virtual Randomized Controlled Trial. JMIR Research Protocols, 10(7), e30621. https://doi.org/10.2196/30621

Kumakura, K. (2024). CPU Clock Rate Control Based on Method Invocation in Foreground Application in Android Smartphone. Journal of Information Processing, 32(0), 275–286. https://doi.org/10.2197/ipsjjip.32.275

Kumar, P., & Singh, S. (2023). Enhancing android application security: A novel approach using DroidXGB for malware detection based on permission analysis. SECURITY AND PRIVACY, 7(2). Portico. https://doi.org/10.1002/spy2.361

Kusuma, D. F. (2021). Generation Z Perception of Counterfeit Product Attribute and the Influence toward Purchase Intention. Airlangga Journal of Innovation Management, 2(1), 82. https://doi.org/10.20473/ajim.v2i1.26224

Lamo, Y., Mukhiya, S. K., Rabbi, F., Aminifar, A., Lillehaug, S. I., Tørresen, J., H Pham, M., Côtè-Allard, U., Noori, F. M., Guribye, F., Inal, Y., Flobakk, E., Wake, J. D., Myklebost, S., Lundervold, A. J., Hammar, A., Nordby, E., Kahlon, S., Kenter, R., … Nordgreen, T. (2022). Towards adaptive technology in routine mental health care. DIGITAL HEALTH, 8, 205520762211286. https://doi.org/10.1177/20552076221128678

Maqableh, M., Hmoud, H. Y., Jaradat, M., & Masa’deh, R. (2021). Integrating an information systems success model with perceived privacy, perceived security, and trust: the moderating role of Facebook addiction. Heliyon, 7(9), e07899. https://doi.org/10.1016/j.heliyon.2021.e07899

Mishra, B., Agarwal, A., Goel, A., Ansari, A. A., Gaur, P., Singh, D., & Lee, H.-N. (2022). Privacy Protection Framework for Android. IEEE Access, 10, 7973–7988. https://doi.org/10.1109/access.2022.3142345

Mukhiya, S. K., Wake, J. D., Inal, Y., & Lamo, Y. (2020). Adaptive Systems for Internet-Delivered Psychological Treatments. IEEE Access, 8, 112220–112236. https://doi.org/10.1109/ACCESS.2020.3002793

Nakagawa, R., Ohzahata, S., Yamamoto, R., & Kato, T. (2021). Mitigating Congestion with Explicit Cache Placement Notification for Adaptive Video Streaming over ICN. IEICE Transactions on Information and Systems, E104.D(9), 2020EDP7237. https://doi.org/10.1587/transinf.2020EDP7237

Nikkhah, H. R., Grover, V., & Sabherwal, R. (2023). Post Hoc Security and Privacy Concerns in Mobile Apps: The Moderating Roles of Mobile Apps’ Features and Providers. Information and Computer Security, 32(1), 1–37. https://doi.org/10.1108/ics-02-2023-0015

Onodera, N., Maeda, K., Ogawa, T., & Haseyama, M. (2024). Individual Persistence Adaptation for User-Centric Evaluation of User Satisfaction in Recommender Systems. IEEE Access, 12, 23626–23635. https://doi.org/10.1109/ACCESS.2024.3360693

Prabawanti, R., & Sihombing, D. J. C. (2023). Analysis of Factors Affecting User Satisfaction of E-Commerce Applications Using End-User Computing Satisfaction (EUCS) Method. Journal of Information Systems and Informatics, 5(1), 324–332. https://doi.org/10.51519/journalisi.v5i1.437

Rianti, E., Rizky, S. D., & Nugraha, F. H. (2020). Evaluation of the Satisfaction of Users of Weather Forecast Systems with the Service Quality Method. SinkrOn, 4(2), 130. https://doi.org/10.33395/sinkron.v4i2.10512

Rózsa, Z. (2024). Generation Z’s Perception of Privacy on Social Media: Examining the Impact of Personalized Advertising, Interpersonal Relationships, Reference Group Dynamics, Social Isolation, and Anxiety on Self-Disclosure Willingness. Oeconomia Copernicana, 15(1), 229–266. https://doi.org/10.24136/oc.2956

Saputra, F. A., Yeza, M. P., Fahrezy, M. F., Fami, A., & Barus, I. R. G. (2024). Comparing User Experience Maxim and inDrive Applications Using the User Experience Questionnaire. ILKOMNIKA: Journal of Computer Science and Applied Informatics, 6(1), 79–90. https://doi.org/10.28926/ilkomnika.v6i1.614

Saputra, R., Sahona, M. A., & M.Com, T. (2023). Student Satisfaction Assessment Study of E-Learning Users: User Satisfaction with IT (USIT). Scientechno: Journal of Science and Technology, 2(3), 212–222. https://doi.org/10.55849/scientechno.v2i3.200

Schuetz, S., & Venkatesh, V. (2020). "Research Perspectives: The Rise of Human Machines: How Cognitive Computing Systems Challenge Assumptions of User-System Interaction ". Journal of the Association for Information Systems, 460–482. https://doi.org/10.17705/1jais.00608

Setiadi, B., K, K., Risdwiyanto, A., Ady Bakri, A., & Arief, I. (2023). The Application of Delone and Mclean Framework to Analyze the Relationship between Customer Satisfaction and User Experience of Mobile Application. Jurnal Sistim Informasi Dan Teknologi, 84–89. https://doi.org/10.37034/jsisfotek.v5i1.207

Sharma, S., Kumar, R., & Krishna, C. R. (2021). A Survey on Analysis and Detection of Android Ransomware. Concurrency and Computation Practice and Experience, 33(16). https://doi.org/10.1002/cpe.6272

Tabassum, N., Naeem, H., & Batool, A. (2023). The Data Security and Multi-Cloud Privacy Concerns. International Journal for Electronic Crime Investigation, 7(1), 49–58. https://doi.org/10.54692/ijeci.2023.0701128

Taurah, S. P., Bhoyedhur, J., & Sungkur, R. K. (2020). Emotion-Based Adaptive Learning Systems. Machine Learning for Networking, 273–286. https://doi.org/10.1007/978-3-030-45778-5_18

Uwamungu, E., Marara, A. A., Munyaneza, E., & Pinney, J. (2024). Electronic medical record system user satisfaction and its implications for individual work performance: The case of a university teaching hospital in Rwanda. https://doi.org/10.21203/rs.3.rs-4206008/v1

Wu, C., & Pi, P. (2022). How experience value affect user stickiness? An empirical research on booking tourism application. Advances in Economics and Management Research, 2(1), 250. https://doi.org/10.56028/aemr.2.1.250

Yılmaz, S., & Davis, M. J. (2023). Hidden Permissions on Android: A Permission-Based Android Mobile Privacy Risk Model. European Conference on Cyber Warfare and Security, 22(1), 717–724. https://doi.org/10.34190/eccws.22.1.1453

Yusfrizal, Y., Andrian Syahputra, Yahya Tanjung, & Safrizal. (2024). Analysis of Markov Blanket Based Feature Ranking for Android Malware Detection. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 3(3), 740–745. https://doi.org/10.59934/jaiea.v3i3.506