ANALYSIS OF THE FACTORS THAT INFLUENCE CUSTOMER INTEREST IN USING MOBILE BANKING AT PT. BANK NTB SYARIAH ALAS SUB-BRANCH

  • Agusta Hari Sandy Graduate School, Master in Innovation Management, Universitas Teknologi Sumbawa
  • Koko Hermanto Industrial Engineering, Faculty of Systems Engineering, Universitas Teknologi Sumbawa
Keywords: PT. Bank NTB Syariah, Mobile Banking, Information technology, Ease of use, Risk, Service

Abstract

Many customers prefer ATMs or come directly to bank offices to do banking transactions. It can lead to crowds considering that the pandemic is not over yet. It is one of the considerations of PT. Bank NTB Syariah launched a mobile banking application as a service facility to facilitate customers' transacting. The use of mobile banking is still relatively new to the public. Currently, the number of mobile banking users of Bank NTB Syariah Alas Sub-Branch has not met the number of targets achieved in several quarters. This study aimed to analyze the factors influencing customer interest in mobile banking. The sample in this study amounted to 100, which are customers who are users of mobile banking users of PT. Bank NTB Syariah Alas Sub-Branch. The statistical tool used in this research is Structural Equation Modeling (SEM) with LISREL 8.80 statistical software approach. The results of this study indicate that the factors that influence customer interest are Perception of Information Technology (X1), Ease of Use (X2), Risk (X3), and Service Features (X4). These factors have a significant simultaneous effect. The coefficient of determination obtained is 84%, which means that customer interest in using mobile banking is influenced by elements of information technology perception, risk, trust, and service features, while the remaining 16% is influenced by other variables not discussed in this study.

Downloads

Download data is not yet available.

References

S. Batunanggar, “Fintech Development and Asian Development Bank Institute,” ADBI Work. Pap. Ser. FINTECH, no. 1014, 2019.

F. Muñoz-Leiva, S. Climent-Climent, and F. Liébana-Cabanillas, “Determinantes de la intención de uso de las aplicaciones de banca para móviles: una extensión del modelo TAM clásico,” Spanish J. Mark. - ESIC, vol. 21, no. 1, pp. 25–38, 2017, doi: 10.1016/j.sjme.2016.12.001.

Y. Umboh, F. G. Worang, F. J. Tumewu, and H. H. D. Tasik, “Analyzing The Difference Of E-Banking Services Between Bank Central Asia And Bank Mandiri In Manado,” J. EMBA J. Ris. Ekon. Manajemen, Bisnis dan Akunt., vol. 6, no. 1, pp. 71–80, 2018, doi: 10.35794/emba.v6i1.18763.

R. AbdEl.Aziz, R. El Badrawy, and M. Ismail Hussien, “ATM, Internet Banking and Mobile Banking Services in a Digital Environment: The Egyptian Banking Industry,” Int. J. Comput. Appl., vol. 90, no. 8, pp. 45–52, 2014, doi: 10.5120/15598-4408.

A. Rojikun, “The effect of service quality on Indosat product sales level at the Deliz Cell outlet,” J. Econ. Bus. Lett., vol. 1, no. Xl, pp. 27–33, 2021.

D. Bonang, “Pengaruh Layanan E-Banking Terhadap Sikap Nasabah Bank Syariah Di Kota Mataram,” [The Effect of E-Banking Services on the Attitudes of Islamic Bank Customers in Mataram City] Iqtishaduna, vol. VIII, no. 2, pp. 159–171, 2017, [Online]. Available: https://journal.uinmataram.ac.id/index.php/iqtishaduna/article/download/399/163.

S. Hadi and N. Novi, “Faktor-Faktor Yang Mempengaruhi Penggunaan Layanan Mobile Banking,” [Factors Affecting the Use of Mobile Banking Services] Optim. J. Ekon. dan Pembang., vol. 5, no. 1, p. 55, 2015, doi: 10.12928/optimum.v5i1.7840.

A. Bari, “Penggunaan Layanan Cooplink Mobile di Baitut Tamwil Muhammadiyah Sang Surya Pamekasan,” [Use of Cooplink Mobile Service at Baitut Tamwil Muhammadiyah Sang Surya Pamekasan] Universitas Islam Negri Sunan Ampel, 2019.

I. K. Rachadika and M. I. P. Nasution, “Pemanfaatan Internet Terhadap Perkembangan Industri Perbankan Pada Bank BCA,” [Utilization of the Internet on the Development of the Banking Industry at Bank BCA] Al-Kharaj J. Islam. Econ. Bus., vol. 2, no. 1, pp. 34–48, 2020, doi: 10.24256/kharaj.v2i1.1077.

A. Ansori, “Sistem Informasi Perbankan Syari’ah,” [Sharia Banking Information System] BanqueSyar’i, vol. 4, no. 1, 2018.

H. Komulainen and S. Saraniemi, “Customer centricity in mobile banking: a customer experience perspective,” Int. J. Bank Mark., vol. 37, no. 5, pp. 1082–1102, 2019, doi: 10.1108/IJBM-11-2017-0245.

S. Abrahim, B. A. Mir, H. Suhara, F. A. Mohamed, and M. Sato, “Structural equation modeling and confirmatory factor analysis of social media use and education,” Int. J. Educ. Technol. High. Educ., vol. 16, no. 13, 2019, doi: 10.1186/s41239-019-0157.

R. Widiyasari and Mutiarani, “Penggunaan metode structural equation modelling untuk analisis faktor yang mempengaruhi motivasi belajar mahasiswa fip umj,” J. Pendidik. Mat. dan Mat., vol. 3, no. 2, pp. 147–160, 2017, [Online]. Available: jurnal.umj.ac.id/index.php/fbc.

J. Benitez, J. Henseler, A. Castillo, and F. Schuberth, “How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research,” Inf. Manag., vol. 57, no. 2, p. 103168, 2020, doi: 10.1016/j.im.2019.05.003.

N. Dery et al., “Analisis Faktor-faktor Munculnya Word of Mouth Mempengaruhi Keputusan Berkuliah di Universitas Teknologi Sumbawa,” Performa Media Ilm. Tek. Ind., vol. 20, no. 2, pp. 77–84, 2021.

K. Hermanto, R. Suarantalla, S. F. Utami, and Sudirman, “Application of SEM in analyzing student satisfaction with administrative services,” J. Phys. Conf. Ser., vol. 1663, no. 1, pp. 1–8, 2020, doi: 10.1088/1742-6596/1663/1/012008.

R. Suarantalla and K. Hermanto, “Analisis Faktor yang Mempengaruhi Eksistensi Ritel Tradisional di Kecamatan Sumbawa Menggunakan Structural Equation Modeling,” [Analysis of Factors Affecting the Existence of Traditional Retail in Sumbawa District Using Structural Equation Modeling] Performa, vol. 19, no. 2, pp. 185–198, 2020, doi: 10.20961/performa.19.2.44682.

M. Mulyadi, “Penelitian Kuantitatif Dan Kualitatif Serta Pemikiran Dasar Menggabungkannya [Quantitative and Qualitative Research and Basic Rationale to Combine Them],” J. Stud. Komun. dan Media, vol. 15, no. 1, p. 128, 2019.

R. Ida Mentayani, Rusmanto, “Pengaruh Teknologi Informasi Kemudahan, Risiko Dan Fitur Layanan Terhadap Minat Nasabah Menggunakan Internet Banking,” [The Influence of Information Technology, Ease, Risks and Service Features on Customer Interest in Using Internet Banking] J. Chem. Inf. Model., vol. 53, no. 9, pp. 1689–1699, 2019.

H. S. Theriady and D. B. Ginting, “Analisis Pengaruh Persepsi Teknologi Informasi, Resiko, Kepercayaan Dan Fitur Layanan Terhadap Minat Ulang Nasabah Dalam Menggunakan E-Banking,” [Analisis Pengaruh Persepsi Teknologi Informasi, Resiko, Kepercayaan Dan Fitur Layanan Terhadap Minat Ulang Nasabah Dalam Menggunakan E-Banking] J. Chem. Inf. Model., vol. 53, no. 9, pp. 1689–1699, 2015.

Edi Riadi, Statistik SEM - Structural Equation Modeling dengan Lisrel [SEM Statistics - Structural Equation Modeling with Lisrel, 1st ed. Jakarta: Andi, 2016.

G. David Garson, “Structural Equation Modeling,” 2011. http://faculty.chass.ncsu.edu/garson/PA765/structur.htm.

Lukmanul Hakim and Euphrasia Susy Suhendra, “The Influence Of Perception Of Benefits, Easy Of Use, Use, Trust, And Availability Of Features On Satisfaction Of Use Of Bca Mobile Banking Services (Sejabodetabek),” Int. J. Sci. Technol. Manag., vol. 2, no. 5, pp. 1731–1736, 2021, doi: 10.46729/ijstm.v2i5.343.

I. Pangemanan, “The Influence Of Perceived Information Technology, Perceived Ease Of Use, Perceived Risk And Service Features On Using Bca Internet Banking,” J. EMBA, vol. 1, no. 4, pp. 1824–1833, 2013.

M. B, A. N. Lubis, E. S. Rini, and A. S. Silalahi, “Confirmatory Factor Analysis of Electronic Word of Mouth in Private College Students in Medan,” J. Int. Conf. Proc., vol. 3, no. 4, pp. 54–66, 2021, doi: 10.32535/jicp.v3i4.1010.

W. N. Arifin and M. S. B. Yusoff, “Confirmatory Factor Analysis of the Universiti Sains Malaysia Emotional Quotient Inventory Among Medical Students in Malaysia,” SAGE Open, vol. 6, no. 2, 2016, doi: 10.1177/2158244016650240.

L. Lin, Z. Huang, B. Othman, and Y. Luo, “Let’s make it better: An updated model interpreting international student satisfaction in China based on PLS-SEM approach,” PLoS One, vol. 15, no. 7 July, pp. 1–13, 2020, doi: 10.1371/journal.pone.0233546.

H. Triwidyati and F. Tentama, “Validity and reliability construct of subjective well being scale - Repository Universitas Ahmad Dahlan,” Int. J. Sci. Basic Appl. Res., vol. 51, no. 20, pp. 191–200, 2020, [Online]. Available: http://eprints.uad.ac.id/20150/.

S. Haryono, SSEM method for management research with AMOS 22.00, LISREL 8.80 and Smart PLS 3.0, 1st ed. Yogyakarta: PT. Intermedia Personalia Utama, 2016.

Published
2022-06-01
How to Cite
[1]
A. Sandy and K. Hermanto, “ANALYSIS OF THE FACTORS THAT INFLUENCE CUSTOMER INTEREST IN USING MOBILE BANKING AT PT. BANK NTB SYARIAH ALAS SUB-BRANCH”, BAREKENG: J. Math. & App., vol. 16, no. 2, pp. 703-712, Jun. 2022.