User Satisfaction in Public Sector Digital Transformation: A Critical EUCS Analysis of the E-Kinerja Application in Indragiri Hilir Regency
DOI:
https://doi.org/10.52436/1.jpti.1079Kata Kunci:
E-Kinerja, EUCS, Government Information Systems, Mandatory System Use, PLS-SEM, Public Sector Digital Transformation, User SatisfactionAbstrak
The accelerated global push for digitalized public services places immense pressure on government agencies to ensure the effectiveness and user acceptance of new information systems. This study critically investigates user satisfaction with the E-Kinerja application, a pivotal e-performance management system implemented at the Regional Personnel and Human Resource Development Agency (BKPSDM) of Indragiri Hilir Regency. Utilizing the well-established End-User Computing Satisfaction (EUCS) model, encompassing content, accuracy, format, ease of use, and timeliness dimensions, this research employs a quantitative approach. Data were collected via questionnaires from 36 active users (total population) and analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) in SmartPLS. The findings reveal a nuanced and unexpected pattern of influence: only the Content (T-Statistic = 2.002, p<0.05) and Timeliness (T-Statistic = 2.433, p<0.05) dimensions significantly and positively impact user satisfaction. Crucially, Accuracy, Format, and Ease of Use did not exhibit a statistically significant influence. The model explained a substantial 76.7% of user satisfaction variance. This counter-intuitive outcome challenges generalized EUCS applicability in mandatory government contexts, suggesting that user priorities in public sector performance systems may uniquely emphasize core utility and promptness over aesthetic or perceived ease. These findings offer critical insights for public administrators prioritizing IT investments and contribute to refining the theoretical understanding of EUCS dynamics in specific organizational environments. Recommendations include prioritizing content quality and timely information delivery, while re-evaluating the perceived importance of other dimensions in similar government settings.
Unduhan
Referensi
A. E. Hadisuwarno and R. Bisma, “Analisis penerimaan pengguna aplikasi e-Kinerja dengan metode TRAM dan EUCS pada kepolisian,” Teknologi: Jurnal Ilmiah Sistem Informasi, vol. 10, no. 2, pp. 93–109, 2020.
M. P. Gupta, S. Kanungo, R. Kumar, and G. P. Sahu, “A Study of Information Technology Effectiveness in Select Government Organizations in India,” Vikalpa: The Journal for Decision Makers, vol. 32, no. 2, pp. 7–22, Apr. 2007, doi: 10.1177/0256090920070202.
W. J. Doll and G. Torkzadeh, “The measurement of end-user computing satisfaction: theoretical and methodological issues,” pp. 5–10, 1991.
F. Agiwahyuanto, “Improving End-User Satisfaction With Electronic Medical Records (EMR),” Jurnal Borneo Administrator, 2025, doi: 10.24258/jba.v21i1.1561.
Y. Kusnadi, “User Satisfaction Analysis of Netflix Application Using End User Computing Satisfaction (EUCS) Method,” Jurnal Teknologi Informatika Dan Komputer, 2025, doi: 10.37012/jtik.v11i1.2561.
W. T. Prastio, Farikhin, and A. Sugiharto, “Comparative Analysis of User Satisfaction of End User Computing Satisfaction, DeLone &Amp; McLean and Webqual 4.0 Methods,” Jurnal Penelitian Pendidikan Ipa, 2024, doi: 10.29303/jppipa.v10i9.8484.
T. Chen, L. Peng, X. Yin, J. Rong, J. Yang, and G. Cong, “Analysis of User Satisfaction With Online Education Platforms in China During the COVID-19 Pandemic,” Healthcare, 2020, doi: 10.3390/healthcare8030200.
D. Trianisfi, N. Nurfaizah, and E. Tripustikasari, “User Satisfaction Analysis of Online Public Access Catalog Using End User Computing Satisfaction Method,” Piksel Penelitian Ilmu Komputer Sistem Embedded and Logic, 2021, doi: 10.33558/piksel.v9i1.2493.
R. Prabawanti and D. J. Cross Sihombing, “Analysis of Factors Affecting User Satisfaction of E-Commerce Applications Using End-User Computing Satisfaction (EUCS) Method,” Journal of Information Systems and Informatics, 2023, doi: 10.51519/journalisi.v5i1.437.
N. R. Putra and A. Frinaldi, “Penilaian Kinerja Pegawai Melalui Penerapan Sistem E-Kinerja Di Biro Pemerintahan Dan Otonomi Daerah Provinsi Sumatera Barat,” JISIP UNJA (Jurnal Ilmu Sosial Ilmu Politik Universitas Jambi), vol. 7, no. 1, pp. 12–24, 2023.
I. R. Maulana, “Factor Affecting User Satisfaction of Property Management Helpdesk Mobile Application Using End User Computing Satisfaction (EUCS) Modification Model,” International Journal of Advances in Data and Information Systems, 2025, doi: 10.59395/ijadis.v6i1.1370.
A. B. Darmawan and R. A. Nugroho, “Factors That Affect User Satisfaction of Dukcapil Application (Dukcapil Dalam Genggaman) in Surakarta Regency,” Jakpp (Jurnal Analisis Kebijakan & Pelayanan Publik), 2020, doi: 10.31947/jakpp.vi.11588.
I. G. N. S. Wijaya and I. W. K. Suwastika, “Analisis kepuasan pengguna elearning menggunakan metode end-user computing satisfaction,” E-Proceedings KNS&I STIKOM Bali, pp. 558–562, 2017.
S. Anderjovi, M. L. Hamzah, I. Maita, and T. H. Ahsyar, “User satisfaction analysis of e-learning using end user computing satisfaction in covid 19,” in Proceedings of the 4th African International Conference on Industrial Engineering and Operations Management Nsukka, Nigeria, 2022, pp. 5–7. Accessed: Oct. 07, 2024. [Online]. Available: https://www.researchgate.net/profile/Tengku-Ahsyar-2/publication/372859227_User_Satisfaction_Analysis_of_E-Learning_Using_End_User_Computing_Satisfaction_in_Covid_19/links/64cb208c91fb036ba6bfcb06/User-Satisfaction-Analysis-of-E-Learning-Using-End-User-Computing-Satisfaction-in-Covid-19.pdf
V. P. Aggelidis and P. D. Chatzoglou, “Hospital information systems: Measuring end user computing satisfaction (EUCS),” Journal of biomedical informatics, vol. 45, no. 3, pp. 566–579, 2012.
S. Ammad, W. S. Alaloul, S. Saad, and A. H. Qureshi, Personal protective equipment (PPE) usage in construction projects: A systematic review and smart PLS approach, vol. 12, no. 4. Elsevier, 2021, pp. 3495–3507. Accessed: May 17, 2025. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2090447921001593
W. Pangestika, “Implementasi Reformasi Melalui Penggunaan E-Kinerja di Kelurahan Palmerah, Kecamatan Palmerah, Jakarta Barat,” B.S. thesis, FISIP UIN Jakarta, 2019. Accessed: Oct. 04, 2024. [Online]. Available: https://repository.uinjkt.ac.id/dspace/handle/123456789/49237
A. Rifai, “Partial least square-structural equation modeling (PLS-SEM) untuk mengukur ekspektasi penggunaan repositori lembaga: pilot studi di UIN syarif hidayatullah jakarta,” Al Maktabah, vol. 14, no. 1, 2015, Accessed: May 17, 2025. [Online]. Available: http://journal.uinjkt.ac.id/index.php/al-maktabah/article/view/2251
B. C. Devi, A. Hoyyi, and M. A. Mukid, “Analisa faktor-faktor yang mempengaruhi keputusan pembelian dan kepuasan konsumen pada layanan internet speedy di kota semarang menggunakan partial least square (pls),” Jurnal Gaussian, vol. 4, no. 3, pp. 485–495, 2015.
M. Sarstedt, C. M. Ringle, D. Smith, R. Reams, and J. F. Hair Jr, Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers, vol. 5, no. 1. Elsevier, 2014, pp. 105–115. Accessed: May 16, 2025. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S1877858514000060
J. F. Hair Jr, M. C. Howard, and C. Nitzl, Assessing measurement model quality in PLS-SEM using confirmatory composite analysis, vol. 109. Elsevier, 2020, pp. 101–110. Accessed: May 16, 2025. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0148296319307441
S. Nawangsari, R. K. Harahap, N. Herlina, and E. Ekowati, “Testing and Analysis User Satisfaction of Salute Bidan Application Using End-User Computing Satisfaction,” Journal of System and Management Sciences, 2023, doi: 10.33168/jsms.2023.0529.
A. Rachmanto, S. T. E. Setiawan, and K. P. Munggaran, “Factors Affecting User Satisfaction Mobile Banking,” Proceeding of International Conference on Business Economics Social Sciences and Humanities, 2023, doi: 10.34010/icobest.v4i.501.
E. Park, “Computational Analysis of User Experience and Customer Satisfaction With Mobile Food Delivery Services: Evidence From Big Data Approaches,” Mathematical Biosciences and Engineering, 2022, doi: 10.3934/mbe.2022463.
