Analysis of The Interest of Islamic Economics Students at The Sjech M. Djamil Djambek Bukittinggi State Islamic University in Investing in Sharia Stocks
DOI:
https://doi.org/10.30983/iciefs.v3i1.917Keywords:
Financial Literacy, Investment, Islamic Economics, Sharia Stocks, Student InterestAbstract
This study was motivated by the positive development of sharia stocks in Indonesia, but student interest in this instrument remains low compared to conventional stocks. Low literacy, limited technical understanding, and risk perception are the main factors hindering student involvement. This study uses a qualitative descriptive method with a case study approach through interviews, observations, and documentation of Islamic Economics students at the Faculty of Economics and Islamic Business, Sjech M. Djamil Djambek Bukittinggi State Islamic University. The results show that students with in-depth understanding and direct practical experience have a higher interest in investing, while limited capital, lack of guidance, and minimal technical literacy are the main obstacles. Overall, student interest in sharia stock investment is relatively high, but its realization is still influenced by financial readiness and educational support. Improving literacy, providing practical guidance, and offering access to investments with small capital are important steps to encourage active student participation in the Islamic capital market.
References
Abdalloh, I. (2019). Sharia Capital Market. Jakarta: Kompas Gramedia.
Ainley, M., Hillman, K., & Hidi, S. (2002). Gender and Interest Processes in Response to Literary Texts: Situational and Individual Interest. Learning and Instruction , 12, 411-428
Alfatih, A. (2017). Easy Guidelines for Conducting Qualitative Descriptive Research. Palembang: Sriwijaya University.
Anggraini, I. A., Utami, W. D., & Rahma, S. B. (2020). Analysis of Students' Interests and Talents in Learning. Terampil: Journal of Basic Education and Learning, 7(1).
Annisa, S., et al. (2020). Analysis of Factors Affecting Student Interest in Investing in the Sharia Capital Market. VISA: Journal of Visions and Ideas, 1(2).
Antonio, M. S. (2020). Islamic Banking: Theory and Practice. Jakarta: Gema Insani.
Aziz, P. F. (2021). OJK Strategies in Improving the Islamic Financial Literacy and Inclusion Index. Jakarta: OJK.
Basri, H., & Mayasari, V. (2019). Comparison of Sharia Stock Performance on the Indonesia Stock Exchange and the Malaysia Stock Exchange. Current Global Economic Scientific Journal, 10(2).
Bodie, Z., Kane, A., & Marcus, A. J. (2014). Investments (10th ed.). New York: McGraw-Hill Education.
Brigham, E. F., & Houston, J. F. (2012). Fundamentals of Financial Management (14th ed.). Mason: Cengage Learning.
National Sharia Council of the Indonesian Ulema Council. (2003). DSN-MUI Fatwa No. 40/DSN-MUI/X/2003 concerning the Capital Market and General Guidelines for the Application of Sharia Principles in the Capital Market. Jakarta: DSN-MUI.
Endriani, A. (2019). Developing Interest in Learning. Idaarah: Journal of Education Management, 3(2).
Fahmi, I. (2015). Introduction to Investment. Bandung: Alfabeta.
Fahrudin, M. K. (2023). The Effect of Financial Literacy on Student Investment Interest in the Sharia Capital Market with Risk Perception as a Moderator. Thesis. UIN Prof. K.H. Saifuddin Zuhri Purwokerto. Pearson Education.
Halim, A. (2005). Investment Analysis. Jakarta: Salemba Empat.
Hartati, N. (2021). Analysis of Sharia Stock Performance during Market Volatility. Journal of Sharia Economics, 5(1).
Hatmawan, A. A., & Widiasmara, A. (2017). Factors Affecting Customer Intentions to Save in Sharia Banking with Religion as a Control Variable. Assets: Journal of Accounting and Education, 5(2).
Lathifah, N. (2020). Analysis of the Conformity of Sharia Stock Issuers Based on DSN-MUI Fatwa. Indonesian Sharia Economics Journal, 4(2).
Lathifah, N. (2021). Analysis of Issuers' Compliance with Sharia Principles. Indonesian Sharia Economics Journal, 5(1).
Mouw, E., et al. (2022). Qualitative Research Methods. Padang: PT. Global Eksekutif Teknologi.
Mubarok, F. K. (2018). The Role of Socialization and Education in Fostering Interest in Investment in the Sharia Capital Market. INOVASI, 14(2).
Munawaroh, S., & Sugiono. (2019). Investment Law. Surabaya: CV. Jakad Publishing.
Nabilah, F., & Hartutik. (2020). The Influence of Knowledge, Religiosity, and Investment Motivation on Interest in Investing in the Sharia Capital Market among Beginner Stock Investor Communities. Taraadin, 1(1).
Nanang Matono, Quantitative Research Methods, Purwokerto: Rajawali Pers
Nurisnayanti, N., & Sevriana, L. (2023). The Influence of Sharia Financial Literacy and Student Investment Interest on Investment Decisions in the Sharia Capital Market. Jurnal Tafs: Journal of Tarbiyah and Islamic Studies, 7(2).
Financial Services Authority. (2019). 2019 Indonesian Sharia Finance Development Report. Jakarta: OJK.
Financial Services Authority. (2023). List of Sharia Securities for Period II of 2023. Jakarta: OJK.
Pajar, R. C., & Pustikaningsih, A. (2017). The Influence of Investment Motivation and Investment Knowledge on Investment Interest in the Capital Market among FE UNY Students. Profita Journal, 5(1).
Prayitno, H. J. (2021). Increasing Student Learning Interest and Learning Activity in Grade VII. Science, Engineering, Education, and Development Studies (SEEDS): Conference Series, 5(2).
Prayuga, Y., & Abadi, A. P. (2019). Student Learning Interest in Mathematics Learning. Sesiomadika Proceedings, 2(1d).
Puranidhi, A. L. (2019, March 18). Indonesia's Sharia Capital Market Has the Greatest Potential in the World.
Purboyo, H., & Wicaksono, D. (2019). The Effect of Risk Perception on Interest in Investing in Sharia Stocks. Journal of Islamic Economics and Finance, 5(2).
Rahman, H. (2021). Investing in the Sharia Capital Market. Yogyakarta: Deepublish.
Raranta, J. E., & Tando, D. (2022). Educators' Strategies for Handling Individual Differences in the Learning Process. Jurnal Regulai Fidei, 2.
Soemitra, A. (2009). Islamic Banks & Financial Institutions. Jakarta: Kencana Prenada Media Group.
Sugiyono, Quantitative, Qualitative, and R&D Research Methods, Bandung: Alfabeta
Suhir, M., Suyadi, I., & Riyadi. (2014). The Influence of Risk Perception, Convenience, and Benefits on Online Purchasing Decisions (Survey of Users of the Website www.Kaskus.co.id). Journal of Business Administration, 8(1).
Tandelilin, E. (2010). Portfolio and Investment: Theory and Application. Yogyakarta: Kanisius.
Tandio, T., & Widanaputra, A. (2016). The Effect of Capital Market Training, Returns, Risk Perception, Gender, and Technological Advances on Student Investment Interest. E-Journal of Accounting, Udayana University, 16(3).
Utami, D. N. (2020, December 30). Unshaken by the Pandemic, the Number of Capital Market Investors Continues to Rise. Retrieved February 25, 2021, from [online source].
Wahyuni, E. (2020). Sharia Stock Performance During Market Volatility. Journal of Sharia Finance, 3(2).
Yusuf, M. (2019). The Influence of Technological Advancement and Knowledge on Millennials' Interest in Investing. Journal of Islamic Economics & Business.
Rizqi, I. N., & Dytihana, Z. A. (2025). The Effectiveness of ASIAP Digital Innovation in the Management of SPPT PBB in Pekanbaru City: DAIGUSI Analysis of Innovation and User Satisfaction. Knowbase : International Journal of Knowledge in Database, 5(1), 01–17. https://doi.org/10.30983/knowbase.v5i1.9453
Shahira, F., & Negara, B. S. (2025). Lung X-Ray Image Classification Using DenseNet-169 and Bayesian Optimization. Knowbase : International Journal of Knowledge in Database, 5(1), 18–27. https://doi.org/10.30983/knowbase.v5i1.9618
Setiawan, A., Antoni Arif Priadi, Abdul Razak Bin Abdul Hadi, & Erwin Faller. (2025). AS Spatiotemporal Analysis of LSCI Variations in ASEAN Using ANOVA and Cluster Techniques (2017–2022). Knowbase : International Journal of Knowledge in Database, 5(1), 28–51. https://doi.org/10.30983/knowbase.v5i1.9583
Wahyuni, R. ., Sakti Wira Adi Utomo, & TB. Muhammad Endra Zhafir Al Ghifari. (2025). Artificial Neural Network Prediction Model for Agricultural Commodity Production Using Backpropagation Algorithm. Knowbase : International Journal of Knowledge in Database, 5(1), 52–68. https://doi.org/10.30983/knowbase.v5i1.9530
Ideal, M. A. vafky, Nurfiah, & Idir Fitriyanto. (2025). Implementation of a K-Means-Based Intelligent Patient Complaint Clustering System to Identify Handling Priorities. Knowbase : International Journal of Knowledge in Database, 5(1), 69–80. https://doi.org/10.30983/knowbase.v5i1.9529
Fakhrezi, M. D., Yusra, Muhammad Fikry, Pizaini, & Suwanto Sanjaya. (2025). End-to-End Text-to-Speech for Minangkabau Pariaman Dialect Using Variational Autoencoder with Adversarial Learning (VITS). Knowbase : International Journal of Knowledge in Database, 5(1), 81–94. https://doi.org/10.30983/knowbase.v5i1.9909
Efandari, A., Hari Antoni Musril, Sarwo Derta, & Muhammad Iqbal Haikal bin Samia’an. (2025). Design of a Decision Support System to Determine Scholarship Recipients at SMKN 2 Padang Panjang . Knowbase : International Journal of Knowledge in Database, 5(1), 95–109. https://doi.or
Alias, N., & Sundari, A. (2024). Named Entity Recognition for Uncovering Clinical and Emotional Entities from Breast Cancer Patient Interviews. Knowbase : International Journal of Knowledge in Database, 5(1), 110–120. Retrieved from https://ejournal.uinbukittinggi.ac.id/i
Habibi, M. I., Nazir, A., Haerani, E., & Budianita, E. (2024). Application of Data Mining for Ceramic Sales Data Association Using Apriori Algorithm. Knowbase : International Journal of Knowledge in Database, 4(2), 105–114. https://doi.org/10.30983/knowbase.v5i2.8757
Syukriyah, Y., & Purnama, A. (2024). Modelling Time Series Data for Stock Prices Prediction Using Bidirectional Long Short-Term Memory. Knowbase : International Journal of Knowledge in Database, 4(2), 115–129. https://doi.org/10.30983/knowbase.v4i2.8759
Sutejo, D., Yudha Adhi Jaya, V. I., & Kacung, S. (2024). Analysis of A Priori Algorithm in Medical Data for Heart Disease Identification with Association Rule Mining. Knowbase : International Journal of Knowledge in Database, 4(2), 131–141. https://doi.org/10.30983/knowbase.v4i2.8909
Prio Pamungkas, R. W., & Rakhmi Khalida. (2024). Business Intelligence Dashboard Human Resource Capacity to Increase the Capacity City of Bekasi. Knowbase : International Journal of Knowledge in Database, 4(2), 142–152. https://doi.org/10.30983/knowbase.v4i2.8764
Kesuma Wardanie, D. P., Kacung, S., Fauzi, C., & Pamudi, P. (2024). Design and Development of an Online Analytical Processing (OLAP) Application for Customer Profiling Analysis of Insurance "X". Knowbase : International Journal of Knowledge in Database, 4(2), 153–167. https://doi.org/10.30983/knowbase.v4i2.8799
Setiadi, D., Sasmita, S., & Mukti, Y. I. (2024). Optimization Of Agricultural Production In South Sumatera Using Multiple Linear Regression Algorithm. Knowbase : International Journal of Knowledge in Database, 4(2), 168–179. https://doi.org/10.30983/knowbase.v4i2.8754
Eka Apriyani, M., Fikri Nur, A., & Setyo Astuti, E. (2024). Performance Comparison of Naïve Bayes and SVM Algorithms in Sentiment Analysis on JKN Application Data. Knowbase : International Journal of Knowledge in Database, 4(2), 180–188. https://doi.org/10.30983/knowbase.v4i2.8758
Galih Hendro Martono, & Neny Sulistianingsih. (2024). Enhancing Stroke Diagnosis with Machine Learning and SHAP-Based Explainable AI Models. Knowbase : International Journal of Knowledge in Database, 4(2), 189–203. https://doi.org/10.30983/knowbase.v4i2.8720
Zahrati, W., La Ode Muh. Rabil Saputra, & Zahra Aqilah Dytihana. (2024). Analysis of Acceptance and Use of the MyKopay Application Using the UTAUT 2 and EUCS Models. Knowbase : International Journal of Knowledge in Database, 4(1), 01–12. https://doi.org/10.30983/knowbase.v4i1.8366
Rina Wahyuni. (2024). Integration of Digital Public Services Mall Application with a Citizen Centric Government Services Approach. Knowbase : International Journal of Knowledge in Database, 4(1), 13–27. https://doi.org/10.30983/knowbase.v4i1.8368
slamet, slamet kacung, Rohmah, F. A., & Edi Prihartono. (2024). Association Rule Mining To Enhance Sata Bottle Sales. Knowbase : International Journal of Knowledge in Database, 4(1), 28–37. https://doi.org/10.30983/knowbase.v4i1.8555
Choiriah, W., Putra Pane, E., Roki Hardianto, & Eva Tri Ningsih. (2024). Prototype Motion Sensor And Automatic Locking Based On The Internet Of Things (IOT): Prototype Motion Sensor And Automatic Locking Based On The Internet Of Things (IOT). Knowbase : International Journal of Knowledge in Database, 4(1), 38–48. https://doi.org/10.30983/knowbase.v4i1.8122
Chan, F. R., Firdaus Annas, Yulifda Elin Yuspita, & Gusnita Darmawati. (2024). Implementation of Convolutional Neural Networks (CNN) in An Emotion Detection System for Measuring Learning Concentration Levels. Knowbase : International Journal of Knowledge in Database, 4(1), 49–61. https://doi.org/10.30983/knowbase.v4i1.8429
Paramita, D., Efriyanti, L., Zakir, S., & Imamuddin, M. (2024). Design of a Predictive Model for Prospective New Students Using Monte Carlo Simulation. Knowbase : International Journal of Knowledge in Database, 4(1), 62–74. https://doi.org/10.30983/knowbase.v4i1.8144
Borotan, N. L., Yuspita, Y. E., Annas, F., & Darmawati, G. (2024). Application of Graph Colouring Algorithm in Course Scheduling Process. Knowbase : International Journal of Knowledge in Database, 4(1), 76–93. https://doi.org/10.30983/knowbase.v4i1.8136
Murlena, M., & Syahindra, W. (2024). Application of the Naïve Bayes Algorithm in Classifying the Reading Interests of Regional Library Visitors. Knowbase : International Journal of Knowledge in Database, 4(1), 94–105. https://doi.org/10.30983/knowbase.v4i1.8680
Kurnia, D., & Maiyana, E. (2023). The Selection of KORPRI Scholarship Recipients Using Sugeno’s Fuzzy Logic. Knowbase : International Journal of Knowledge in Database, 3(2), 116–130. https://doi.org/10.30983/knowbase.v3i2.6585
Khoirullah, K., Supriadi, S., Zakir, S., & Efriyanti, L. (2023). Designing a Student Violation Point System Based on Telegram Using PHP Programming Language. Knowbase : International Journal of Knowledge in Database, 3(2), 131–149. https://doi.org/10.30983/knowbase.v3i2.7192
Lizar, Y., Firrizqi, A. S., Guci, A., & Sunadi, J. (2023). Data Mining Analysis to Predict Student Skills Using Naïve Bayes Method. Knowbase : International Journal of Knowledge in Database, 3(2), 150–159. https://doi.org/10.30983/knowbase.v3i2.7481
Fakhira, I. N., Derta, S., Musril, H. A., & Okra, R. (2023). Design of Internship Student Management Information System with Software Development Life Cycle Approach. Knowbase : International Journal of Knowledge in Database, 3(2), 160–176. https://doi.org/10.30983/knowbase.v3i2.6713
Wahyuni, R. ., Sakti Wira Adi Utomo, & TB. Muhammad Endra Zhafir Al Ghifari. (2025). Artificial Neural Network Prediction Model for Agricultural Commodity Production Using Backpropagation Algorithm. Knowbase : International Journal of Knowledge in Database, 5(1), 52–68. https://doi.org/10.30983/knowbase.v5i1.9530
Ideal, M. A. vafky, Nurfiah, & Idir Fitriyanto. (2025). Implementation of a K-Means-Based Intelligent Patient Complaint Clustering System to Identify Handling Priorities. Knowbase : International Journal of Knowledge in Database, 5(1), 69–80. https://doi.org/10.30983/knowbase.v5i1.9529
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