Faktor-Faktor yang Mempengaruhi Penerimaan dan Penggunaan E-Learning: Studi Kasus Pembelajaran Jarak Jauh di SMK Ma’arif 1 Yogyakarta

Aji, Purno Tri; Zakarijah, Masduki; Soenarto, Soenarto

doi:10.21831/elinvo.v5i2.40699

Cited by 5 publications

(8 citation statements)

References 5 publications

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“…Behavioral Intention, as defined by Dita & Murtaqi (2014), refers to conscious or unconscious actions and reactions towards an object or organism, evaluating actions against social norms and regulating them using social control [17]. Previous research by Aji et al (2021) [18], Tom & Virgiyanti (2022) [19], and Kayali & Alaaraj (2020) indicates the positive influence of social influence, relative advantage, and user satisfaction, respectively, on the behavioral intention to adopt Cloud-Based E-Learning [20].…”

Section: Figure 1 Tam Theorymentioning

confidence: 99%

The Influence of Social Influence, Relative Advantage, User Satisfaction on Cloud-Based E-Learning with Behavioral Intention as a Mediating Variable

Muhammad Cevin Yunior,

Yvonne Augustine Sudibijo

2024

TSSJ

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This research investigates the influence of social influence, relative advantage, and user satisfaction on cloud-based e-learning adoption, with behavioral intention acting as a mediating variable. Drawing on existing literature, hypotheses are formulated to explore these relationships. The study integrates models such as DOI, TAM, and UTAUT to propose hypotheses, guided by empirical findings from Lebanon, the Philippines, and Indonesia. The hypotheses posit positive impacts of social influence (H1), relative advantage (H2), and user satisfaction (H3) on cloud-based e-learning adoption. Additionally, the study explores the mediating role of behavioral intention in the relationships between social influence (H4), relative advantage (H5), user satisfaction (H6), and cloud-based e-learning adoption. The operational model is presented, depicting the relationships among variables. The research adopts an explanatory approach, using questionnaires distributed to 143 university students engaging in cloud-based e-learning. Descriptive statistics and validity tests ensure data quality, and hypothesis testing involves Mediated Regression Analysis. Results indicate that relative advantage and user satisfaction positively impact cloud-based e-learning, while social influence's direct impact is inconclusive. Behavioral intention does not mediate the relationships as hypothesized, highlighting the nuanced nature of cloud-based e-learning adoption. The study provides insights into the interplay of factors influencing cloud-based e-learning adoption, contributing to the understanding of technology acceptance in educational contexts.

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Section: Figure 1 Tam Theorymentioning

confidence: 99%

The Influence of Social Influence, Relative Advantage, User Satisfaction on Cloud-Based E-Learning with Behavioral Intention as a Mediating Variable

Muhammad Cevin Yunior,

Yvonne Augustine Sudibijo

2024

TSSJ

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“…This model identifies four main factors, namely performance expectancy, effort expectancy, social influence, and facilitating conditions. However, there are only three factors that theoretically influence behavioral intentions in using technology, namely: performance expectancy, effort expectancy, social influence (Aji et al, 2021). Behavioral intention is the strength of a person's intention to use a technological system.…”

Section: Literature Review 21 Unifield Theory Of Acceptance and Use O...mentioning

confidence: 99%

“…UTAUT itself was introduced by Venkatesh et al, which is used to predict the implementation and use of information technology in an organization. This model identifies four main factors, namely performance expectancy, effort expectancy, social influence, and facilitating conditions (Aji et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Factors That Influence Behavioral Intention to Use Accurate Applications With the Unified Theory of Acceptance and Use of Technology Model in Students of the Faculty of Economics, Jakarta State University

Tahfidz,

Utaminingtyas,

Sumiati

2024

MARGINAL

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This research aims to determine the influence of performance expectancy, effort expectancy, and social influence on behavioral intention regarding the use of accuracy among students at the Faculty of Economics, Jakarta State University. Using quantitative research methods and the samples used were 115 samples. Taken using the purposive sampling method with the category of active students of Accounting Education, Jakarta State University, Class 2020-2022, and have used accurate in the last 1 (one) year. This research uses multiple regression analysis techniques with a hypothesis test consisting of the t test. The results obtained in this research are (1) There is an influence between performance expectancy and behavioral intention in Accounting Education students at Jakarta State University. (2) There is an influence between effort expectancy and behavioral intention in Accounting Education students at Jakarta State University. (3) There is an influence between social influence on behavioral intention in Accounting Education students at Jakarta State University. Based on this research, accurate can be an alternative in learning for financial and accounting data processing because it is easy to understand and helps in the accounting recording process supported by the availability of facilities and infrastructure for accurate learning.

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“…Jika variabel tersebut telah memiliki nilai diatas 0.7 maka telah memenuhi persyaratan serta dapat digunakan untuk penelitian. Selain nilai composite reliability, variabel dapat dikatakan reliabel apabila nilai cronbach's alpha minimal 0.6 [22].…”

Section: Uji Internal Consistency Reliabilityunclassified

Analisis Unified Theory Of Acceptance And Use Of Technology (UTAUT) Terhadap Penerimaan Adopsi Teknologi E-Learning Pada Fitur Video Conference Di Kalangan Mahasiswa Kampus Baru (Studi Kasus: ITTelkom Surabaya)

Hidayat¹,

Nasrullah²,

Istyanto³

2022

J. Technol. Inform.

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Pentingnya sebuah adopsi teknologi dalam penerimaan dan pemanfaatan teknologi di perguruan tinggi dengan melihat faktor-faktor yang mempengaruhi serta dapat memberikan rekomendasi. Dilakukan Analisa faktor-faktor penerimaan adopsi teknologi e-learning pada fitur video conference dengan menguji hubungan antar variabel pada model penelitian ini. Pendekatan kuantitatif digunakan melalui skema purposive sampling untuk teknik pengolahan data, serta pendekatan PLS-SEM di Smart PLS 3.0 kepada 200 responden. Hasil dari penelitian ini diperoleh bahwa variabel faktor sosial dan ekspektasi kinerja mempunyai pengaruh positif signifikan terhadap minat pengguna untuk memanfaatkan fitur video conference. Variabel kondisi fasilitas berpengaruh positif signifikan terhadap perilaku penggunaan fitur video conference. Minat pemanfaatan juga mempunyai pengaruh positif signifikan terhadap perilaku penggunaan e-learning pada fitur video conference sebagai media pembelajaran online di masa pandemi. Selain itu, peneliti juga melakukan pengolahan data terhadap analisis demografi bukan sebagai variabel moderasi serta tidak menjadi bagian dari instrumen kuisioner.

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Faktor-Faktor yang Mempengaruhi Penerimaan dan Penggunaan E-Learning: Studi Kasus Pembelajaran Jarak Jauh di SMK Ma’arif 1 Yogyakarta

Cited by 5 publications

References 5 publications

The Influence of Social Influence, Relative Advantage, User Satisfaction on Cloud-Based E-Learning with Behavioral Intention as a Mediating Variable

The Influence of Social Influence, Relative Advantage, User Satisfaction on Cloud-Based E-Learning with Behavioral Intention as a Mediating Variable

Factors That Influence Behavioral Intention to Use Accurate Applications With the Unified Theory of Acceptance and Use of Technology Model in Students of the Faculty of Economics, Jakarta State University

Analisis Unified Theory Of Acceptance And Use Of Technology (UTAUT) Terhadap Penerimaan Adopsi Teknologi E-Learning Pada Fitur Video Conference Di Kalangan Mahasiswa Kampus Baru (Studi Kasus: ITTelkom Surabaya)

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