Evaluation of Online Admissions Information System Utilizing the Technology Acceptance Model

Chuan De Lian, Nauval Dwi Yuzhak

Abstract


Admission of New Students covers the entire process, from registration and administrative selection to graduation announcement. This activity is an annual routine that is the first step in finding quality prospective students. Therefore, there is a need for a valuable and user-friendly online PMB website. Based on these problems, it is necessary to assess the success of implementing the PMB Online system at Amikom Purwokerto University using the Technology Acceptance Model (TAM) approach. This system development method refers to TAM, which emphasizes user perceptions of two main variables: usefulness and ease of use. Variables that describe user acceptance of the PMB Online system include Perceived Ease of Use, Perceived Usefulness, Perceived Enjoyment, Attitude Towards Using, and Intention to Use. The results of this study indicate that Perceived Ease of Use has a positive effect on Perceived Usefulness, and Perceived Usefulness has a positive effect on Attitude Towards Using and Intention to Use. Meanwhile, Perceived Enjoyment also has a positive effect on Attitude Towards Using. The results of this study are expected to identify weaknesses and improve certain aspects to optimize the implementation of PMB Online at Amikom Purwokerto University.


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Keywords


PMB Online;Technology Acceptance Model; Management Information Systems

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References


A. H. Mujianto, B. Soedijono, And H. Henderi, “Pengukuran Tingkat Kesuksesan Penerapan Website Penerimaan Mahasiswa Baru (PMB) Online Di Perguruan Tinggi Swasta Dengan Pendekatan Human Organization Technology (Hot) Fit Model,” Register: Jurnal Ilmiah Teknologi Sistem Informasi, Vol. 3, No. 1, Pp. 24–33, 2017, Doi: 10.26594/Register.V3i1.712.

P. Hendikawati And N. Hidayati, “Persepsi Mahasiswa Terhadap Sistem Aplikasi Simpkl Pada Implementasi Kegiatan Praktek Kerja Lapangan Menggunakan Analisis Tam,” Jurnal Tam (Technology Acceptance Model), Vol. 10, No. 2, Pp. 74–82, 2019, [Online]. Available: Https://Core.Ac.Uk/Download/Pdf/276535249.Pdf

O. Durodolu, “Technology Acceptance Model As A Predictor Of Using Information System’ To Acquire Information Literacy Skills,” Library Philosophy And Practice, Vol. 2016, No. 1, 2016.

S. Alharbi And S. Drew, “Using The Technology Acceptance Model In Understanding Academics’ Behavioural Intention To Use Learning Management Systems,” International Journal Of Advanced Computer Science And Applications, Vol. 5, No. 1, Pp. 143–155, 2014, Doi: 10.14569/Ijacsa.2014.050120.

S. Muliyani, “Pengaruh Penggunaan E-Registration, E-Billing, Dan E-Filing Dalam Pendekatan Technology Acceptance Model (Tam),” Jurnal Ilmu Dan Riset Akuntansi, Vol. 10, No. 5, Pp. 1–20, 2021.

L. Purwianti And K. Tio, “Faktor-Faktor Yang Mempengaruhi Behavioural Intention,” Jurnal Manajemen Maranatha, Vol. 17, No. 1, P. 15, 2017, Doi: 10.28932/Jmm.V17i1.415.

T. Irawati, E. Rimawati, And N. A. Pramesti, “Penggunaan Metode Technology Acceptance Model (Tam) Dalam Analisis Sistem Informasi Alista (Application Of Logistic And Supply Telkom Akses),” Accounting Information Systems And Information Technology Business Enterprise, Vol. 4, No. 2, Pp. 106–120, 2020, Doi: 10.34010/Aisthebest.V4i02.2257.

S. Tambun And I. Muhtiar, “Pengaruh Pengetahuan Perpajakan Dan Penerapan E-System Terhadap Kepatuhan Wajib Pajak Yang Di Moderasi Oleh Technology Acceptance Model,” Media Akuntansi Perpajakan, Vol. 4, No. 1, Pp. 1–15, 2019, [Online]. Available: Http://Journal.Uta45jakarta.Ac.Id/Index.Php/Map

E. Adewole-Odeshi, “Attitude Of Students Towards E-Learning In South-West Nigerian Universities: An Application Of Technology Acceptance Model,” Library Philosophy And Practice, Vol. 1, No. 1, Pp. 1–19, 2014.

W. M. Al-Rahmi Et Al., “Integrating Technology Acceptance Model With Innovation Diffusion Theory: An Empirical Investigation On Students’ Intention To Use E-Learning Systems,” Ieee Access, Vol. 7, Pp. 26797–26809, 2019, Doi: 10.1109/Access.2019.2899368.

J. Admas, H. T. A. Khan, R. Raeside, And D. White, Research Methods For Graduate Business And Social Science Students. Response Books, 2007.

S. H. Alshammari, M. B. Ali, And M. S. Rosli, “The Influences Of Technical Support, Self Efficacy And Instructional Design On The Usage And Acceptance Of Lms: A Comprehensive Review,” Turkish Online Journal Of Educational Technology, Vol. 15, No. 2, Pp. 116–125, 2016.

I. Ajzen And T. J. Madden, “Prediction Of Goal-Directed Behavior: Attitudes, Intentions, And Perceived Behavioral Control,” J Exp Soc Psychol, Vol. 22, No. 5, Pp. 453–474, 1986, Doi: 10.1016/0022-1031(86)90045-4.

A. Al-Adwan, A. Al-Adwan, And J. Smedley, “Exploring Students Acceptance Of E-Learning Using Technology Acceptance Model In Jordania Universities,” International Journal Of Education And Development Using Information And Communication Technology (Ijedict, Vol. 9, No. 2, Pp. 4–18, 2013.

A. Al-Azawei, “Investigating The Effect Of Learning Styles In A Blended E-Learning System: An Extension Of The Technology Acceptance Model (Tam),” Australasian Journal Of Educational Technology, Vol. 33, No. 2, Pp. 1–23, 2017, Doi: 10.14742/Ajet.2741.

T. Almarabeh, “Students’ Perceptions Of E-Learning At The University Of Jordan,” International Journal Of Emerging Technologies In Learning, Vol. 9, No. 3, Pp. 31–35, 2014, Doi: 10.3991/Ijet.V9i3.3347.

C.-T. Chang, J. Hajiyev, And C. R. Su, “Examining The Students’ Behavioral Intention To Use E-Learning In Azerbaijan? The General Extended Technology Acceptance Model For E-Learning Approach,” Comput Educ, Vol. 111, Pp. 128–143, 2017, Doi: 10.1016/J.Compedu.2017.04.010.

H. Chen, W. Rong, X. Ma, Y. Qu, And Z. Xiong, “An Extended Technology Acceptance Model For Mobile Social Gaming Service Popularity Analysis,” Mobile Information Systems, Vol. 2017, 2017, Doi: 10.1155/2017/3906953.

S. S. Al-Gahtani, “Empirical Investigation Of E-Learning Acceptance And Assimilation: A Structural Equation Model,” Applied Computing And Informatics, Vol. 12, No. 1, Pp. 27–50, 2016, Doi: 10.1016/J.Aci.2014.09.001.

S. Bagon, M. Gacnik, And A. I. Starcic, “Information Communication Technology Use Among Students In Inclusive Classrooms,” International Journal Of Emerging Technologies In Learning, Vol. 13, No. 6, Pp. 56–72, 2018, Doi: 10.3991/Ijet.V13i06.8051.

M. L. Yahaya, Z. A. Murtala, And H. N. Onukwube, “Partial Least Squares (Pls-Sem): A Note For Beginners,” International Journal Of Environmental Studies And Safety Research, Vol. 4, No. 2019, Pp. 1–30, 2019, [Online]. Available: Www.Casirmediapublishing.Com

F. Weng, R. J. Yang, H. J. Ho, And H. M. Su, “A Tam-Based Study Of The Attitude Towards Use Intention Of Multimedia Among School Teachers,” Applied System Innovation, Vol. 1, No. 3, Pp. 1–9, 2018, Doi: 10.3390/Asi1030036.

H. L. Alsheikh And S. Singh, “Female Students’ Attitude Towards E-Learning In Saudi Higher Education,” International Journal Of Humanities And Social Science Invention, Vol. 7, No. 12, Pp. 2319 – 7722, 2018, [Online]. Available: Www.Ijhssi.Org

L. P. Chin And Z. A. Ahmad, “Perceived Enjoyment And Malaysian Consumers’ Intention To Use A Single Platform E-Payment,” Shs Web Of Conferences, Vol. 18, P. 01009, 2015, Doi: 10.1051/Shsconf/20151801009.

C. M. Chao, “Factors Determining The Behavioral Intention To Use Mobile Learning: An Application And Extension Of The Utaut Model,” Front Psychol, Vol. 10, No. July, Pp. 1–14, 2019, Doi: 10.3389/Fpsyg.2019.01652.

H. Almarabeh, E. F. Amer, And A. Sulieman, “The Effectiveness Of Multimedia Learning Tools In Education,” International Journal Of Advanced Research In Computer Science And Software Engineering, Vol. 5, No. 12, Pp. 761–764, 2015.

I. Ajzen, “The Theory Of Planned Behavior,” Health Commun, Vol. 34, No. 11, Pp. 1369–1376, 2019, Doi: 10.1080/10410236.2018.1493416.

Q. Wang, H. L. Woo, C. L. Quek, Y. Yang, And M. Liu, “Using The Facebook Group As A Learning Management System: An Exploratory Study,” British Journal Of Educational Technology, Vol. 43, No. 3, Pp. 428–438, 2012, Doi: 10.1111/J.1467-8535.2011.01195.X.

H. M. S. Ahmed, “Hybrid E‐Learning Acceptance Model: Learner Perceptions,” Decision Sciences Journal Of Innovative Education, Vol. 8, No. 2, Pp. 313–346, 2010, Doi: 10.1111/J.1540-4609.2010.00259.X.

A. Balog And C. Pribeanu, “The Role Of Perceived Enjoyment In The Students’ Acceptance Of An Augmented Reality Teaching Platform: A Structural Equation Modelling Approach,” Studies In Informatics And Control, Vol. 19, No. 3, Pp. 319–330, 2010, Doi: 10.24846/V19i3y201011.

G. Cheng And J. Chau, “Exploring The Relationships Between Learning Styles, Online Participation, Learning Achievement And Course Satisfaction: An Empirical Study Of A Blended Learning Course,” British Journal Of Educational Technology, Vol. 47, No. 2, Pp. 257–278, 2016, Doi: 10.1111/Bjet.12243.


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IJIIS: International Journal of Informatics and Information Systems

ISSN:2579-7069 (Online)
Organized by:Departement of Information System, Universitas Amikom Purwokerto, IndonesiaFaculty of Computing and Information Science, Ain Shams University, Cairo, Egypt
Website:www.ijiis.org
Email:husniteja@uinjkt.ac.id (publication issues)
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