PENERAPAN MODEL PEMBELAJARAN BERBASIS VIRTUAL TRADING PADA MATA KULIAH MANAJEMEN INVESTASI DAN PORTOFOLIO
Abstract
The purpose of this study is to empirically test a virtual trading-based learning model. The study was designed as part of research and development for learning improvement. The independent variables in the study are perceived ease, and perceived usefulness, the dependent variable is a person's positive or negative feelings in carrying out activities (attitude toward using). Model testing was conducted in the Investment and Portfolio Management course on 173 students from the Faculty of Economics and Business UPN Veteran Jakarta and Trilogy University Jakarta, who were eligible to be respondents with the Technology Acceptance Model (TAM) approach. The results showed that more than 50% of students felt the ease and benefits of using virtual trading media so that learning became more interesting, the R square value of 0.813 showed that the perceived ease and perceived usefulness variables had an influence of 81.3% on students' positive or negative feelings in carrying out learning with virtual trading media, while the rest was influenced by other variables outside the research model.
ABSTRAK
Tujuan dari penelitian ini adalah menguji secara empiris model pembelajaran berbasis virtual trading. Penelitian dirancang sebagai bagian dari riset dan pengembangan untuk perbaikan pembelajaran. Variabel bebas pada penelitian adalah persepsi kemudahan (perceive of ease), dan persepsi manfaat (perceive of usefulness), variable terikat penelitian adalah perasaan positif atau negatif seseorang dalam menjalankan kegiatan (attitude toward using). Pengujian model dilakukan pada mata kuliah Manajemen Investasi dan Portofolio pada 173 mahasiswa dari Fakultas Ekonomi dan Bisnis UPN Veteran Jakarta dan Universitas Trilogi Jakarta, yang layak dijadikan responden dengan pendekatan Technology Acceptance Model (TAM). Hasil penelitian menunjukkan lebih dari 50% mahasiswa merasakan kemudahan dan manfaat dalam menggunakan media virtual trading sehingga pembelajaran menjadi lebih menarik, nilai R square sebesar 0.813 menunjukkan variable persepsi kemudahan dan persepsi manfaat memberikan pengaruh sebesar 81.3% terhadap perasaan positif atau negatif mahasiswa dalam menjalankan pembelajaran dengan media virtual trading, sedangkan sisanya dipengaruhi variable lain di luar model penelitianKeywords
Full Text:
PDFReferences
Bertella, M. A., Silva, J. N., & Stanley, H. E. (2020). Loss aversion, overconfidence and their effects on a virtual stock exchange. Physica A, 1-18.
Cui, B., Wang, H., Ye, K., & Yan, J. (2012). Intelligent agent-assisted adaptive order simulation system in the artificial stock market. Expert Systems with Applications, 8890-8898.
Davis, F. (1986). A Technology Acceptance Model for Empirically Testing New-end User Information Systems: Theory and Result. USA: Massachusetts Institute of Technology.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of technology. MIS Quarterly, 13(3), 319-340.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
Ghozali, I. (2014). Metode alternatif dengan partial least square (PLS). Semarang: Badan Penerbit UNDIP.
Hermuningsih, S., & Wardani, K. (2016). Metode online stock trading sebagai literasi dalam pengembangan model pembelajaran mata kuliah pasar modal. Sesindo, 4(2), 309-316.
Hernandez, A. B., Gorjup, M. T., & Cascon, R. (2010). The role of the instructor in business games: A comparison of face to face and online instruction. International Journal of Training and Development, 14(3), 169-180.
Hernández-Lara, A. B., Lopez, E. S., & Bertrant, A. F. (2018). Do business games foster skills? A cross-cultural study from learners’ views. Intangible Capital, 14(3), 315-331.
Hoffer, A. J. (2019). Using data and research to address student misconceptions. International Review of Economics Education.
Ke, J., & Chen, Y. (2013). Modeling and simulation of the artificial stock market trading system. Applied Mathematics & Information Science, 7(4), 1599-1607.
López, J. M., & Caceres, M. M. (2010). Virtual games in social science education. Computers & Education, 55(4), 1336-1345.
Naik, G., Chetan, C., Manaswini, B., & Rajan, J. (2020). Impact of use of technology on student learning outcomes: Evidence from a large-scale experiment in India. World Development, 1-20.
Pham, H. V., Cooper, E. W., Chao, T., & Kamei, K. (2012). Hybrid Kansei-SOM model using risk management and company assessment for stock trading. Information Sciences, 182(1), 150-165.
Scherer, R., Siddiq, F., & Tondeur, J. (2018). The Technology Acceptance Model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education, 128, 13-35.
Soemapradja, T. G., Logahan, J. M., & Onggowarsito, H. (2014). Pengembangan aplikasi simulasi perdagangan saham dengan sector rotation dan linear programming. Binus Business Review, 5(1), 418-428.
Suhendro, & Chomsatu, Y. (2014). Model pembelajaran pasar modal berbasis simulasi perdagangan daring melalui perdagangan maya BEI. Jurnal Akuntansi Multiparadigma, 5(2), 170-182.
Wu, H.-C., Tseng, C. M., Chan, P. C., Huang, S. F., Chu, W. W., & Chan, Y. F. (2012). Evaluation of stock trading performance of students using a web-based virtual stock trading system. Computers & Mathematics with Applications, 64(5), 1495-1505*.
DOI: https://doi.org/10.59818/jpi.v2i1.161
Refbacks
- There are currently no refbacks.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
.png)








