Implementation of Technology Acceptance Model to Evaluate Reliability of the New Student Selection Application Development
Article Sidebar
Main Article Content
Abstract
One of the important things in university management is the selection process for new students. Management of new student admissions needs to be planned, communicated, and implemented properly to obtain new students who meet the quantity and quality targets. The selection process for new students must follow the rules contained in Permendikbud No. 3 of 2020 concerning National Standards for Higher Education in Indonesia. This study aims to develop a model for evaluating the new student selection portal that has been developed at Tarumanagara University under the name Go Untar, where the implementation refers to Permendikbud No. 3 of 2020. Go Untar has been used as a communication portal and selection of prospective new students since 2020. The method used in this study refers to the TAM (Technology Acceptance Model) model developed by Davis, 1985 and combined with the Unified Theory of Acceptance and Use of Technology model (UTAUT) by Venkatesh et.al., 2003, to obtain a combination model to evaluate Go Untar. The results shows that the TAM API 2021 model, which was developed from the modification of the two TAM models above, can be used to analyze the effectiveness and convenience of Go Untar in the selection process for new students at Tarumanagara University. The results of the model application to evaluate Go Untar application show that Go Untar application is useful for registering new students quickly and effectively, as well as able to see accurate selection results. Go Untar is easily accessible and can be used properly as a medium of communication and selection of new students, starting from account creation, data entry process, selection, and real time selection results. Go Untar is effective in facilitating digital communication between prospective new students and administrators. The results of this study will be a reference in further development.
Salah satu hal penting dalam pengelolaan perguruan tinggi adalah proses penerimaan mahasiswa baru. Pengelolaan penerimaan mahasiswa baru perlu direncanakan, dikomunikasikan dan dilaksanakan dengan baik, sehingga memperoleh mahasiswa baru yang memenuhi target kuantitas dan kualitas. Proses seleksi mahasiswa baru harus mengikuti aturan yang ada dalam Permendikbud No. 3 Tahun 2020 tentang Standar Nasional Pendidikan Tinggi di Indonesia. Penelitian ini bertujuan untuk mengembangkan model untuk mengevaluasi portal seleksi mahasiswa baru yang telah dikembangkan di Universitas Tarumanagara dengan nama Go Untar, dimana implementasinya merujuk pada Permendikbud No. 3 Tahun 2020. Go Untar telah digunakan sebagai portal komunikasi dan seleksi calon mahasiswa baru sejak tahun 2020. Metode yang digunakan dalam penelitian ini merujuk pada Model TAM (Technology Acceptance Model) yang dikembangkan oleh Davis, 1985 dan dikombainasikan dengan model Unified Theory of Acceptance and Use of Technology (UTAUT) oleh Venkatesh et.al., 2003, sehingga diperoleh model kombinasi untuk mengevaluasi Go Untar. Berdasarkan hasil penelitian yang telah dilakukan dapat disimpulkan bahwa Model TAM API 2021 yang dikembangkan dari modifikasi dua model TAM di atas, dapat digunakan untuk menganalisis keefektifan dan kemudahana Go Untar dalam proses seleksi mahasiswa baru di Universitas Tarumanagara. Hasil aplikasi model yang telah dikembangkan untuk mengevaluasi aplikasi Go Untar menunjukan bahwa aplikasi Go Untar yang telah dikembangkan bermanfaat untuk melakukan registrasi dengan cepat, efektif, dan dapat melihat hasil yang akurat. Go Untar mudah diakses dan dapat digunakan dengan baik sebagai media komunikasi dan seleksi mahasiswa baru, mulai dari pembuatan akun, proses pengisian data, seleksi dan hasil seleksi yang real time. Hal ini sangat bermanfaat bagi calon mahasiswa baru dan admin untuk berkomunikasi secara digital. Hasil penelitian ini akan menjadi referensi dalam pengembangan selanjutnya.
Article Details
References
Al-Khasawneh, A. L., & Bakir, S. H. A. (2019). The Influence of Communication Process Elements on Students Satisfaction: Field Study on Jordanian Private Universities. European Journal of Economics, Finance and Administrative Sciences, 100, 7–23.
Alharbi, S. (2014). Using the Technology Acceptance Model in Understanding Academics’ Behavioural Intention to Use Learning Management Systems. International Journal of Advanced Computer Science and Applications, 143–155.
Chuttur, M. (2009). Overview of the Technology Acceptance Model: Origins, Spouts. Working Papers on Information Systems, 9–37.
Davis, F. . (1985). A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. Massachusetts Institute of Technology.
Davis, F. . (1989). Perceived Usefulness, Perceived Ease of Use dan Acceptance of Information System Technology. MIS Quartery, 13(3), 319–339.
Dyatmika, T. (2018). Strategi Komunikasi Penerimaan Mahasiswa Baru Di Universitas Muhammadiyah Cirebon. SOSFILKOM: Jurnal Sosial, Filsafat Dan Komunikasi, 12(2), 36–50.
Fornell, C., & Larcker, D. . (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50.
Hair, J. F. J., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications, Inc.
Hair, J. F. J., Sarstedt, M., & Ringle, C. . (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433.
Harjadi, D., & Fatmasari, D. (2017). Implementation of Integrated Marketing Communication in Image of Private Higher Education. Trikonomika, 16(2), 63–67.
Henseler, J., Dijkstra, T. ., Sarstedt, M., Ringle, C. ., Diamantopoulos, A., Straub, D. ., Ketchen, D. J. J., Hair, J. ., Hult, G. T. ., & Calantone, R. . (2014). Common beliefs and reality about PLS: comments on Rönkkö & Evermann (2013). Organizational Research Methods, 17(2), 182–209.
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.
Kalayou, M. H., Endehabtu, B. F., & Tilahun, B. (2020). The Applicability of the Modified Technology Acceptance Model (TAM) on the Sustainable Adoption of eHealth Systems in Resource-Limited Settings. Journal of Multidisciplinary Healthcare, 2020:3, 1827–1837.
Koul, S., & Eydgahi, A. (2018). Utilizing Technology Acceptance Model (TAM) for driverless car technology. Journal of Technology Management & Innovation, 13(4), 37–46.
Ongvongphaiboon, P., & Chantamas, M. (2021). No Titlenfluence of digital marketing communication and performance effectiveness between b2b companies and clients in Thailand. Utopía y Praxis Latinoamericana, 26(2), 171–182.
Peratuaran Menteri Pendidikam dan Kebudayaan Republik Indonesia Nomor 3 Tahun 2020, (2020). https://jdih.kemdikbud.go.id/arsip/Salinan PERMENDIKBUD 3 TAHUN 2020 FIX GAB.pdf
Rahman, T. F. A., & Bakar, Z. A. (2019). Exploring Users’ Perspectives on Co-Curricular Registration System using TAM Model. Journal of Advanced Research in Computing and Applications, 16(1), 24–33.
Rauniar, R., Rawski, G., Johnson, B., & Yang, J. (2013). Social Media User Satisfaction-Theory Development and Research Findings. Journal of Internet Commerce, 12, 195–224.
Tsai, Y.-R. (2015). Applying the Technology Acceptance Model (TAM) to explore the effects of a Course Management System (CMS)-Assisted EFL writing instruction. CALICO Journal, 32(1), 153–171.
Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273–315.
Venkatesh, V., & Davis, F. . (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186–204.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425–478.