TAM as a Model to Understand the Intention of Using a Mobile-based Cancer Early Detection Learning Application

Hery Harjono Muljo, Bens Pardamean, Anzaludin Samsinga Perbangsa, Yulius Lie, Kartika Purwandari, Bharuno Mahesworo, Alam Ahmad Hidayat, Tjeng Wawan Cenggoro

Abstract


Technology Acceptance Model (TAM) framework was utilized in this study. Its purpose was to determine the correlation between independent variables consisting of Perceived Ease of Use (PEU), Perceived Usefulness (PU), Attitude toward Using (AU) with dependent variable Behavioral Intention to Use (BIU). Data collection techniques were carried out by distributing questionnaires through group discussion forums. Respondents consisted of medical workers and health cadres both in Jakarta and Yogyakarta. Data were analyzed using correlation test and t-test. The results of the correlation test state that the correlation between PEU and AU is 0.30, which shows a weak correlation. Meanwhile, the correlation of PU and AU is 0.56, PEU and BIU is 0.41, and PU and BIU is 0.47, which are considered as moderate correlations. Finally, a strong correlation exists between AU and BIU. T-test results show that the effect of PU on AU is statistically significant with CI = 95%. Likewise, the effects of PEU on AU, AU towards BIU, PU towards BIU, and PEU towards BIU are significant (p < 0.05).


Keywords


mobile learning; TAM; cancer early detection

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International Journal of Online and Biomedical Engineering (iJOE) – eISSN: 2626-8493
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