Pengukuran User Experience Platform Low-Code/No-Code dan Artificial Intelligence untuk Pembuatan Website Menggunakan UEQ
Keywords:
Pengalaman Pengguna, Low-Code/No-Code, Artificial Intelligence, Framer, UEQAbstract
Perkembangan pesat platform Low-Code/No-Code (LCNC) dan integrasi Artificial Intelligence (AI) telah mengubah lanskap pengembangan situs web secara signifikan. Namun, evaluasi kuantitatif terhadap User Experience (UX) pada platform yang berorientasi desain seperti Framer masih terbatas. Penelitian ini bertujuan untuk mengukur dan menganalisis pengalaman pengguna platform Framer, khususnya terkait fitur AI, menggunakan metode User Experience Questionnaire (UEQ). Penelitian ini menggunakan pendekatan kuantitatif dengan melibatkan 49 responden valid setelah melalui proses pembersihan data (data cleaning). Hasil analisis menunjukkan bahwa Framer memiliki kinerja yang sangat baik, di mana aspek Efisiensi (Efficiency) mencatat skor tertinggi sebesar 2,16, yang membuktikan bahwa fitur otomatisasi AI mampu mempercepat alur kerja pengguna secara drastis, bahkan bagi pengguna dengan kemampuan pemrograman terbatas. Berdasarkan komparasi benchmark global, Framer meraih predikat Excellent pada 5 dari 6 skala pengukuran, yaitu Daya Tarik, Efisiensi, Keterandalan, Stimulasi, dan Kebaruan. Namun, aspek Kejelasan (Perspicuity) memperoleh skor terendah sebesar 1,62, yang mengindikasikan tantangan adaptasi pada lingkungan desain bebas (free-form canvas). Kesimpulannya, Framer berhasil menyeimbangkan kualitas pragmatis dan hedonis sebagai alat yang inovatif, namun memerlukan peningkatan pada aspek kemudahan pemahaman untuk memperluas adopsi pengguna.Downloads
References
[1] A. C. Bock and U. Frank, “Low-Code Platform,” Business & Information Systems Engineering, vol. 63, no. 6, pp. 733–740, Dec. 2021, doi: 10.1007/s12599-021-00726-8.
[2] A. Sahay, A. Indamutsa, D. Di Ruscio, and A. Pierantonio, “Supporting the Understanding and Comparison of Low-Code Development Platforms,” in 2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), IEEE, Aug. 2020, pp. 171–178. doi: 10.1109/SEAA51224.2020.00036.
[3] D. Di Ruscio, D. Kolovos, J. De Lara, M. Tisi, and M. Wimmer, “LowCode 2021: 2nd Workshop on Modeling in Low-Code Development Platforms,” in 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), IEEE, Oct. 2021, pp. 45–46. doi: 10.1109/MODELS-C53483.2021.00014.
[4] A. Viljoen, M. Radić, A. Hein, and J. Nguyen, “Governing Citizen Development to Address Low-Code Platform Challenges,” MIS Quarterly Executive, vol. 23, no. 3, 2024, doi: 10.17705/2msqe.00100.
[5] E. Martinez and L. Pfister, “Benefits and Limitations of Using Low-Code Development to Support Digitalization in the Construction Industry,” Autom. Constr., vol. 152, p. 104909, Aug. 2023, doi: 10.1016/j.autcon.2023.104909.
[6] E. Elshan, B. Binzer, and T. J. Winkler, “From Software Users to Software Creators: An Exploration of the Core Characteristics of the Citizen Developer Role and the Related Re- and Upskilling Programs,” Business & Information Systems Engineering, vol. 67, no. 1, pp. 31–53, Feb. 2025, doi: 10.1007/s12599-024-00915-1.
[7] A. Viljoen et al., “Navigating Flexibility and Standardisation in Low‐Code/No‐Code Development,” Information Systems Journal, Jun. 2025, doi: 10.1111/isj.70001.
[8] A. Bucaioni, A. Cicchetti, and F. Ciccozzi, “Modelling in Low-Code Development: A Multi-Vocal Systematic Review,” Softw. Syst. Model., vol. 21, no. 5, pp. 1959–1981, Oct. 2022, doi: 10.1007/s10270-021-00964-0.
[9] O. Matvitskyy, A. Jain, K. Davis, and A. Leow, “Gartner Magic Quadrant for Enterprise Low-Code Application Platforms,” Jul. 2025.
[10] G. L. L. Liwanag, R. Ebardo, and D. Cheng, “Low-Code and No-Code Development in the Era of Artificial Intelligence: A Systematic Review,” Data and Metadata, vol. 4, p. 1218, Oct. 2025, doi: 10.56294/dm20251218.
[11] Y. Christian et al., “Perancangan Chatbot Akreditasi UIB Untuk Kemudahan Akreditasi Menggunakan Metode Natural Language Processing,” Jurnal Teknologi Dan Sistem Informasi Bisnis, vol. 7, no. 1, pp. 233–238, Feb. 2025, doi: 10.47233/jteksis.v7i1.1849.
[12] A. Yulianto, E. Lau, and S. Sabariman, “Development of an Integrated Chatbot on the Website Using IBM Watson Assistant,” INTEGER: Journal of Information Technology, vol. 9, no. 2, p. 217, Sep. 2024, doi: 10.31284/j.integer.2024.v9i2.6525.
[13] B. Binzer, E. Elshan, D. Fürstenau, and T. J. Winkler, “Establishing a Low-Code/No-Code-Enabled Citizen Development Strategy,” MIS Quarterly Executive, vol. 23, no. 3, pp. 253–273, 2024, doi: 10.17705/2msqe.00097.
[14] J. T. Sodano and J. F. DeFranco, “Citizen Development, Low-Code/No-Code Platforms, and the Evolution of Generative AI in Software Development,” Computer (Long Beach. Calif)., vol. 58, no. 5, pp. 101–104, May 2025, doi: 10.1109/MC.2025.3547073.
[15] S. Trieflinger, D. Petrik, E. Polat, and B. Roling, “Potentials and Risks of the Low-Code Development: A Systematic Literature Review,” 2025, pp. 63–73. doi: 10.1007/978-3-658-48215-2_8.
[16] N. Takahashi, A. Javed, and Y. Kohda, “How Low-Code Tools Contribute to Diversity, Equity, and Inclusion (DEI) in the Workplace: A Case Study of a Large Japanese Corporation,” Sustainability, vol. 16, no. 13, p. 5327, Jun. 2024, doi: 10.3390/su16135327.
[17] S. Wang and H. Wang, “A Teaching Module of No-Code Business App Development,” Journal of Information Systems Education, vol. 32, no. 1, 2021.
[18] C. Volioti, V. Martsis, A. Ampatzoglou, E. Keramopoulos, and A. Chatzigeorgiou, “Codeless3D: Design and Usability Evaluation of a Low-Code Tool for 3D Game Generation,” IEEE Trans. Games, 2024, [Online]. Available: https://zap.works/
[19] S. Curty, F. Härer, and H.-G. Fill, “Design of Blockchain-Based Applications Using Model-Driven Engineering and Low-Code/No-Code Platforms: A Structured Literature Review,” Softw. Syst. Model., vol. 22, no. 6, pp. 1857–1895, Dec. 2023, doi: 10.1007/s10270-023-01109-1.
[20] D. Shimada and K. Katahira, “Sequential Dependencies of Responses in a Questionnaire Survey and Their Effects on the Reliability and Validity of Measurement,” Behav. Res. Methods, vol. 55, no. 6, pp. 3241–3259, Sep. 2022, doi: 10.3758/s13428-022-01943-z.
[21] H. B. Santoso, M. Schrepp, L. M. Hasani, R. Fitriansyah, and A. Setyanto, “The Use of User Experience Questionnaire Plus (UEQ+) for Cross-Cultural UX Research: Evaluating Zoom and Learn Quran Tajwid as Online Learning Tools,” Heliyon, vol. 8, no. 11, p. e11748, Nov. 2022, doi: 10.1016/j.heliyon.2022.e11748.
[22] A. M. Saleh, H. Y. Abuaddous, I. S. Alansari, and O. Enaizan, “The Evaluation of User Experience on Learning Management Systems Using UEQ,” International Journal of Emerging Technologies in Learning (iJET), vol. 17, no. 07, pp. 145–162, Apr. 2022, doi: 10.3991/ijet.v17i07.29525.
[23] S. Hajesmaeel-Gohari, F. Khordastan, F. Fatehi, H. Samzadeh, and K. Bahaadinbeigy, “The Most Used Questionnaires for Evaluating Satisfaction, Usability, Acceptance, and Quality Outcomes of Mobile Health,” BMC Med. Inform. Decis. Mak., vol. 22, no. 1, p. 22, Dec. 2022, doi: 10.1186/s12911-022-01764-2.
[24] J. Beaman, L. Lawson, A. Keener, and M. L. Mathews, “Within Clinic Reliability and Usability of a Voice-Based Amazon Alexa Administration of the Patient Health Questionnaire 9 (PHQ 9),” J. Med. Syst., vol. 46, no. 6, p. 38, May 2022, doi: 10.1007/s10916-022-01816-0.
[25] L. Blandi, M. Sabbatucci, G. Dallagiacoma, F. Alberti, P. Bertuccio, and A. Odone, “Digital Information Approach through Social Media among Gen Z and Millennials: The Global Scenario during the COVID-19 Pandemic,” Vaccines (Basel)., vol. 10, no. 11, p. 1822, Oct. 2022, doi: 10.3390/vaccines10111822.
[26] C.-W. Chang and S.-H. Chang, “The Impact of Digital Disruption: Influences of Digital Media and Social Networks on Forming Digital Natives’ Attitude,” Sage Open, vol. 13, no. 3, Jul. 2023, doi: 10.1177/21582440231191741.
[27] Y. Xia, Y. Deng, X. Tao, S. Zhang, and C. Wang, “Digital Art Exhibitions and Psychological Well-Being in Chinese Generation Z: An Analysis Based on the S-O-R Framework,” Humanit. Soc. Sci. Commun., vol. 11, no. 1, p. 266, Feb. 2024, doi: 10.1057/s41599-024-02718-x.
[28] E. Prafiantini et al., “Usability Testing of EatsUp®: Mobile Application for Monitoring Balanced Dietary Practices and Active Lifestyle Among Adolescents—A Study in Jakarta, Indonesia,” Front. Digit. Health, vol. 7, Jun. 2025, doi: 10.3389/fdgth.2025.1506952.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 CESS (Journal of Computer Engineering, System and Science)

This work is licensed under a Creative Commons Attribution 4.0 International License.









