Abstract

South Tangerang Health Office had the responsibility in giving outstanding healthcare services to its resident’s despite of its limitation due Covid-19 pandemic. Some programs were initiated to reduce maternal, babies and toddler mortality, and in the same time reduce the number of malnourished children. The integrated healthcare mobile application called Si Pandai Kemas TangSel had been launched and can be downloaded easily through smartphone. The study is expected to measure the effectiveness of Si Pandai Kemas TangSel using UTAUT approach by measuring the influence of performance expectancy, effort expectancy, facilitating condition and habit toward behavior intention in using Si Pandai Kemas TangSel mobile application. The study showed that the effort expectancy and habit can increase the intention to use Si Pandai Kemas TangSel application. Meanwhile, performance expectancy and facilitating conditions did not affect behavioral intention in using Si Pandai Kemas TangSel application.

Highlights

  • One of the sustainable development goals adopted as Indonesia's national target (RPJMN) in 2015-2019 is the 3rd Global Goal on state guarantees to ensure all communities for healthy living (INFID, 2017)

  • With the lack of number of health facilities available compared to the population of South Tangerang City, South Tangerang.The government of South Tangerang had set-up the strategies to improve the degree of public health through three indicators, namely the maternal mortality indicator per 100,000 live births, the infant mortality rate per 1000 live births and the rate of pain according to certain diseases per 100 populations

  • Si Pandai Kemas TangSel was developed as a technological breakthrough in giving more efficient ways to get the quick information at the real time

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Summary

Literature Review and Hypothesis

The growth of technology has prompted several sectors including the health sector. The convenience offered by technology, such as the ability to use anytime and anywhere, can be adopted by its users to improve health aspects and monitor a person's health. Many researchers adopt the UTAUT framework because it can describe two factors that influence user behavior, namely internal and external motivations, that encourage users to adopt a technology. These internal and external factors involve performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value and habit (Venkatesh et al, 2012). This study adopts the UTAUT research framework from Venkatesh et al (2012) to understand the factors influencing health technology adoption. Internal motivation factors adjusted to the user's characteristics are effort expectancy and habit. External motivation is measured through performance expectancy, facilitating conditions and habit

Performance expectancy
Effort expectancy
Facilitating Condition
Discussion and Managerial
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