Analisis Tingkat Online learning Adoption Behavior pada Generasi Z Selama Pandemi COVID-19

I Gusti Ayu Agung Mas Aristamy, Santi Ika Murpratiwi

Abstract


Pandemi virus COVID-19 menyebabkan pemerintah dari seluruh Negara menerapkan sistem lockdown untuk meminimalisir penyebaran virus COVID-19 ini, namun ada juga Negara yang hanya menerapkan sistem karantina, salah satunya Indonesia. Hal ini menuntut masyarakat dari semua kalangan untuk mampu menggunakan Teknologi Informasi dengan baik, terutama bagi mahasiswa. Menteri Pendidikan dan Kebudayaan Indonesia telah mengeluarkan Surat Edaran Nomor 4 Tahun 2020 dan Nomor 302/E.E2/KR/2020 tentang Pelaksanaan Pendidikan Dalam Masa Darurat Coronavirus Disease (Covid-19). Melalui adanya pembelajaran jarak jauh, diharapkan pendidikan dapat tetap berjalan secara efektif antara guru dan siswa, maupun antara dosen dan mahasiswa dengan memanfaatkan Teknologi Informasi. Penelitian ini menganalisis sikap dan minat individu terhadap pembelajaran jarak jauh selama pandemi COVID-19, yang menitik beratkan pada adoption behavior generasi Z yang ada di Bali. Tujuan penelitian ini adalah untuk mengetahui bagaimana sikap dan minat generasi Z yang ada di Bali saat ini dalam mengadopsi dan memahami pembelajaran melalui pembelajaran secara online. Hasil yang diperoleh dari penelitian ini adalah inovasi pribadi mahasiswa tidak mempengaruhi sikap dan minat mereka untuk mengadopsi sistem pembelajaran online ini. Hal ini disebabkan oleh beberapa faktor, salah satu faktor yang paling mendominasi, yaitu masih banyak mahasiswa yang belum fasih dan mengerti bagaimana cara menggunakane-learning atau online learning lain.


Keywords


Adopsi Teknologi Informasi; Pembelajaran Daring; COVID-19; Gen Z

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References


Kemendikbud, Panduan Pengembangan dan Penyelenggaraan Kuliah Daring Indonesia Terbuka & Terpadu. Jakarta: DIREKTORAT PEMBELAJARAN & KEMAHASISWAAN DIREKTORAT JENDERAL PENDIDIKAN TINGGI KEMENTERIAN PENDIDIKAN DAN KEBUDAYAAN, 2014.

T. Nguyen, “The Effectiveness of Online Learning: Beyond No Significant Difference and Future Horizons,” MERLOT J. Online Learn. Teach., vol. 11, no. 2, pp. 309–319, 2015.

A. Sun and X. Chen, “Online education and its effective practice: A research review,” J. Inf. Technol. Educ. Res., vol. 15, no. 2016, pp. 157–190, 2016, doi: 10.28945/3502.

I. E. Allen and J. Seaman, Going the Distance: Online Eduation in the US, 2011. Babson Survey Research Group and Quahog Research Group, LLC, 2011.

C. Wang et al., “Need satisfaction and need dissatisfaction: A comparative study of online and face-to-face learning contexts,” Comput. Human Behav., vol. 95, no. January, pp. 114–125, 2019, doi: 10.1016/j.chb.2019.01.034.

O. Oludare Jethro, A. Moradeke Grace, and A. Kolawole Thomas, “E-Learning and Its Effects on Teaching and Learning in a Global Age,” Int. J. Acad. Res. Bus. Soc. Sci., vol. 2, no. 1, pp. 2222–6990, 2012.

M. I. Mustofa, M. Chodzirin, L. Sayekti, and R. Fauzan, “Formulasi Model Perkuliahan Daring Sebagai Upaya Menekan Disparitas Kualitas Perguruan Tinggi,” Walisongo J. Inf. Technol., vol. 1, no. 2, p. 151, 2019, doi: 10.21580/wjit.2019.1.2.4067.

E. Kuntarto, “Keefektifan Model Pembelajaran Daring Dalam Perkuliahan Bahasa Indonesia Di Perguruan Tinggi,” J. Indones. Lang. Educ. Lit., vol. 3, no. 1, pp. 99–110, 2017, [Online]. Available: http://www.syekhnurjati.ac.id/jurnal/index.php/jeill/%0APEMBELAJARAN.

P. B. S. Agus Purwanto, Masduki Asbari, Rudy Pramono, “Studi Eksploratif Dampak Pandemi COVID-19 Terhadap Proses Pembelajaran Online di Sekolah Dasar,” J. Educ. Psycology, Couns., vol. 2, no. 1, 2020.

M. Merriman, “The next big disruptor: Gen Z,” Ernest & Young, pp. 1–7, 2015, [Online]. Available: https://www.ey.com/Publication/vwLUAssets/EY-what-if-the-next-big-disruptor-isnt-a-what-but-a-who/$File/EY-what-if-the-next-big-disruptor-isnt-a-what-but-a-who.pdf.

D. Lestari, “Measuring e-commerce adoption behaviour among gen-Z in Jakarta, Indonesia,” Econ. Anal. Policy, vol. 64, pp. 103–115, 2019, doi: 10.1016/j.eap.2019.08.004.

Y. Hwang, “User experience and personal innovativeness: An empirical study on the Enterprise Resource Planning systems,” Comput. Human Behav., vol. 34, pp. 227–234, 2014, doi: 10.1016/j.chb.2014.02.002.

R. Agarwal and J. Prasad, “A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology,” Inf. Syst. Res., vol. 9, no. 2, pp. 204–215, 1998, doi: 10.1287/isre.9.2.204.

J. C. Hong, M. Y. Hwang, T. Y. Ting, K. H. Tai, and C. C. Lee, “The innovativeness and self-efficacy predict the acceptance of using iPad2 as a green behavior by the government’s top administrators,” Turkish Online J. Educ. Technol., vol. 12, no. 2, pp. 313–320, 2013.

R. L. Thompson, C. A. Higgins, and J. M. Howell, “Influence of experience on personal computer utilization: Testing a conceptual model,” J. Manag. Inf. Syst., vol. 11, no. 1, pp. 167–187, 1994, doi: 10.1080/07421222.1994.11518035.

F. D. Davis, “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Q., vol. 13, no. 3, pp. 319–340, 1989, doi: 10.2307/2490008.

W. Wang and Y. J. Liu, “Attitude , Behavioral Intention and Usage : An Empirical Study of Taiwan Railway ’ s Internet Ticketing System,” Taiwan Natl. Taiwan Ocean Univ., vol. 2, no. 2015, pp. 72–83, 2015.

Y. Hwang, “An empirical study of online trust and consumer behavior: Cultural orientation, social norms, and personal innovativeness in information technology,” Assoc. Inf. Syst. - 26th Int. Conf. Inf. Syst. ICIS 2005 Forever New Front., pp. 873–884, 2005.

R. George Saadé, D. Kira, and F. Nebebe, “Understanding the Role of Personality Traits on Beliefs in Online Learning,” Proc. 2012 InSITE Conf., pp. 613–624, 2012, doi: 10.28945/1680.

A. Turan, A. Ö. Tunç, and C. Zehir, “A Theoretical Model Proposal: Personal Innovativeness and User Involvement as Antecedents of Unified Theory of Acceptance and Use of Technology,” Procedia - Soc. Behav. Sci., vol. 210, pp. 43–51, 2015, doi: 10.1016/j.sbspro.2015.11.327.

Z. A. L. Pihie and A. Bagheri, “Self-Efficacy and Entrepreneurial Intention: The Mediation Effect of Self-Regulation,” Vocat. Learn., vol. 6, no. 3, pp. 385–401, 2013, doi: 10.1007/s12186-013-9101-9.

A. A. Hamid, F. Z. A. Razak, A. A. Bakar, and W. S. W. Abdullah, “The Effects of Perceived Usefulness and Perceived Ease of Use on Continuance Intention to Use E-Government,” Procedia Econ. Financ., vol. 35, no. October 2015, pp. 644–649, 2016, doi: 10.1016/s2212-5671(16)00079-4.

S. A. Khan, Y. Liang, and S. Shahzad, “An Empirical Study of Perceived Factors Affecting Customer Satisfaction to Re-Purchase Intention in Online Stores in China,” J. Serv. Sci. Manag., vol. 08, no. 03, pp. 291–305, 2015, doi: 10.4236/jssm.2015.83032.




DOI: http://dx.doi.org/10.26418/justin.v10i1.43076

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