The Influence of Device Compatibility and IoT System Architecture on Adoption Rate and Usability in the Implementation of Smart Homes in Modern Housing in Tangerang
DOI:
https://doi.org/10.58812/wsshs.v3i10.2328Keywords:
Smart Home, Device Compatibility, IoT System Architecture, Ease of Use, Adoption RateAbstract
This study investigates the influence of device compatibility and IoT system architecture on adoption rates and ease of use in smart home implementation within modern housing developments in Tangerang, Indonesia. Employing a quantitative research approach, data were collected from 125 respondents using a structured questionnaire measured on a five-point Likert scale. The data were analyzed through Structural Equation Modeling–Partial Least Squares (SEM-PLS 3) to test the relationships among constructs. The results reveal that both device compatibility and IoT system architecture significantly and positively influence ease of use, which in turn mediates their effects on adoption rates. A robust IoT system architecture enhances interoperability and system responsiveness, improving user perceptions of convenience and reliability. The findings underscore that technical design and user-centric system integration jointly determine the success of smart home adoption. This research contributes to extending the Technology Acceptance Model (TAM) within the IoT context and offers practical implications for developers, policymakers, and housing planners in fostering inclusive and sustainable smart living environments in Indonesia.
References
[1] M. G. Jauw, Y. Lisanti, and A. J. Fang, “Smart Living Revolution: Examining IoT Adoption for Homes,” in 2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS), IEEE, 2024, pp. 469–474.
[2] M. Sinaga, “Adoption of IoT at home in Indonesia.” University of Twente, 2019.
[3] Y. H. Ardianto and I. R. Widiasari, “IOT BASED SMART HOME SIMULATION (INTERNET OF THINGS),” JURTEKSI (Jurnal Teknol. dan Sist. Informasi), vol. 10, no. 4, pp. 795–802, 2024.
[4] S. E. Dewi and H. Hamzah, “Analisis Efektivitas dan Tantangan Penerapan IoT dalam Smart Home: Systematic Literature Review,” J. Bisnis Digit. dan Teknol., vol. 1, no. 01, pp. 10–20, 2025.
[5] A. Hildayanti and M. S. Machrizzandi, “The application of iot (internet of things) for smart housing environments and integrated ecosystems,” Nat. Natl. Acad. J. Archit., vol. 7, no. 1, pp. 80–88, 2020.
[6] U. Trivedi, Y. Vardhan, P. Kumar, A. Aryan, P. Batra, and H. Mohapatra, “Opportunities and Challenges in Implementing IoT in Smart Homes for an Optimized Environment,” Pract. Appl. Smart Human-Computer Interact., pp. 209–236, 2026.
[7] S. O. Al Mehairi, H. Barada, and M. Al Qutayri, “Integration of technologies for smart home application,” in 2007 IEEE/ACS International Conference on Computer Systems and Applications, IEEE, 2007, pp. 241–246.
[8] T. Magara and Y. Zhou, “Internet of things (IoT) of smart homes: privacy and security,” J. Electr. Comput. Eng., vol. 2024, no. 1, p. 7716956, 2024.
[9] U. Salamah and M. R. Yananda, “Constructing a smart city brand identity: The case of South Tangerang,” J. Komun. Indones., vol. 7, no. 3, pp. 269–277, 2019.
[10] C. Stolojescu-Crisan, C. Crisan, and B.-P. Butunoi, “An IoT-based smart home automation system,” Sensors, vol. 21, no. 11, p. 3784, 2021.
[11] S. S. I. Samuel, “A review of connectivity challenges in IoT-smart home,” in 2016 3rd MEC International conference on big data and smart city (ICBDSC), IEEE, 2016, pp. 1–4.
[12] A. Mota, C. Serôdio, and A. Valente, “Matter protocol integration using Espressif’s solutions to achieve smart home interoperability,” Electronics, vol. 13, no. 11, p. 2217, 2024.
[13] L.-A. Phan and T. Kim, “Breaking down the compatibility problem in smart homes: A dynamically updatable gateway platform,” Sensors, vol. 20, no. 10, p. 2783, 2020.
[14] P. P. Ray, “A survey on Internet of Things architectures,” J. King Saud Univ. Inf. Sci., vol. 30, no. 3, pp. 291–319, 2018.
[15] H. D. Kotha and V. M. Gupta, “IoT application: a survey,” Int. J. Eng. Technol, vol. 7, no. 2.7, pp. 891–896, 2018.
[16] Vidhyotma and J. Singh, “IoT: architecture, technology, applications, and quality of services,” in Ambient Communications and Computer Systems: RACCCS-2018, Springer, 2019, pp. 79–92.
[17] P. Gupta, D. K. Verma, and A. Gupta, “Unveiling the Layered Architecture of IoT: A Comprehensive Overview,” Secur. Intell. IoT-Enabled Smart Cities, pp. 141–163, 2024.
[18] M. Burhan, R. A. Rehman, B. Khan, and B.-S. Kim, “IoT elements, layered architectures and security issues: A comprehensive survey,” sensors, vol. 18, no. 9, p. 2796, 2018.
[19] G. Çöl and Y. N. Baş, “Planlı davranış teorisi kapsamında tüketicilerin akıllı ev teknolojilerini kullanım algılarının teknoloji kabul modeli ile incelenmesi,” Bus. Manag. Stud. An Int. J., vol. 13, no. 3, pp. 1073–1089, 2025.
[20] C. Keller, “Technology acceptance research: Reflections on the use of a theory,” in Management and Information Technology, Routledge, 2011, pp. 176–190.
[21] Q. Ma and L. Liu, “The technology acceptance model: A meta-analysis of empirical findings,” J. Organ. End User Comput., vol. 16, no. 1, pp. 59–72, 2004.
[22] J. F. Hair Jr et al., “Evaluation of formative measurement models,” Partial Least Squares Struct. Equ. Model. Using R A Workb., pp. 91–113, 2021.
[23] T. Li, L. Chen, F. Jia, and O. Tang, “The development of an industry environment for the internet of things: evidence from China,” IEEE Trans. Eng. Manag., vol. 71, pp. 13166–13178, 2022.
[24] B. Koo, B. Choi, H. Park, and K.-J. Yoon, “Past, present, and future of brain organoid technology,” Mol. Cells, vol. 42, no. 9, pp. 617–627, 2019.
[25] A. AlHogail, “Improving IoT technology adoption through improving consumer trust,” Technologies, vol. 6, no. 3, p. 64, 2018.
[26] D. Miorandi, S. Sicari, F. De Pellegrini, and I. Chlamtac, “Internet of things: Vision, applications and research challenges,” Ad hoc networks, vol. 10, no. 7, pp. 1497–1516, 2012.
[27] F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Q., pp. 319–340, 1989.
[28] V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, “User acceptance of information technology: Toward a unified view,” MIS Q., pp. 425–478, 2003.
[29] A. Pal and K. Kant, “IoT-based sensing and communications infrastructure for the fresh food supply chain,” Computer (Long. Beach. Calif)., vol. 51, no. 2, pp. 76–80, 2018.
[30] S. Yang, “IoT stream processing and analytics in the fog,” IEEE Commun. Mag., vol. 55, no. 8, pp. 21–27, 2017.
[31] W. W. Chin, “The partial least squares approach to structural equation modeling,” Mod. methods Bus. Res., vol. 295, no. 2, pp. 295–336, 1998.
[32] D. Darwish, “Improved layered architecture for Internet of Things,” Int. J. Comput. Acad. Res.(IJCAR), vol. 4, no. 4, pp. 214–223, 2015.
[33] F. D. Davis and A. Granić, “Evolution of TAM,” in The technology acceptance model: 30 years of TAM, Springer, 2024, pp. 19–57.
[34] M. L. Wilson, “The impact of technology integration courses on preservice teacher attitudes and beliefs: A meta-analysis of teacher education research from 2007–2017,” J. Res. Technol. Educ., vol. 55, no. 2, pp. 252–280, 2023.
[35] D. Marikyan, S. Papagiannidis, and E. Alamanos, “A systematic review of the smart home literature: A user perspective,” Technol. Forecast. Soc. Change, vol. 138, pp. 139–154, 2019.
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