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Abstrak :
Pengiriman perangkat pada industri perangkat wearable diprediksikan meningkat hingga tahun 2026, terutama jam tangan pintar atau smartwatch. Dalam fenomena pandemi ini, jam tangan pintar menjadi lebih kritis karena dapat memantau aktivitas kebugaran dan istirahat secara detail. Selain itu, teknologi yang terdapat pada smartwatch juga harus diperhatikan. Teknologi canggih yang tersedia mungkin membuat beberapa pengguna merasa tidak nyaman dan tidak aman. Penelitian ini dibuat untuk mempertimbangkan Technology Readiness Index (TRI) seperti Optimism, Innovativeness, Insecurity, dan Discomfort dalam Technology Acceptance Model (TAM) terhadap penerimaan pengguna dalam menggunakan jam tangan pintar (smartwatch) mereka. 212 responden mengisi survei yang dilakukan secara daring, kemudian mengujinya dengan metode PLS-SEM. Hasil penelitian menunjukkan bahwa, dari 12 hipotesis, terdapat tiga hipotesis yang tidak berpengaruh. Insecurity tidak memiliki pengaruh pada Perceived Ease of Use dan Perceived Usefulness. Optimism juga tidak tidak memiliki pengaruh pada Perceived Usefulness. ......Device shipments in the wearable device industry are predicted to increase until 2026, especially smartwatches or smartwatches. In this pandemic phenomenon, smartwatches are becoming more critical because they can monitor fitness and rest activities in detail. In addition, the technology contained in smartwatches must also be considered. The advanced technology available may make some users feel uncomfortable and insecure. This study assessed the Technology Readiness Index (TRI) such as Optimism, Innovativeness, Insecurity, and Discomfort in the Technology Acceptance Model (TAM) on user acceptance in using their smartwatch. 212 respondents completed an online survey, then tested it using the PLS-SEM method. The results showed that, of the 12 hypotheses, three hypotheses had no effect. Insecurity has no impact on Perceived Ease of Use and Perceived Usefulness, and optimism also does not affect Perceived Usefulness.

Abstrak :
Seperti yang kita ketahui populasi di Indonesia semakin bertambah dan menua, penggunaan smartwatch dan fitness band yang dapat dipakai di mana-mana dapat mengurangi beban sosial yang disebabkan oleh meningkatnya kebutuhan manusia untuk perawatan dan keperluan untuk kesehatan. Untuk memfasilitasi dan mendorong penggunaan smartwatch dan fitness band di antara orang yang masih muda hingga orang tua, penelitian ini menyelidiki faktor-faktor yang dominan pada kelanjutan intention to use pada smartwatch dan fitness band, dan model penerimaan smartwatch dan fitness band untuk generasi Y, X, dan baby boomers, dikembangkan dengan menggunakan pemodelan persamaan struktural. Model ini divalidasi menggunakan 327 sampel survei yang dikumpulkan dari orang yang masih berusia 17 tahun hingga 74 tahun. Hasil menunjukkan terdapat 6 hipotesis yang diterima pada seluruh generasi yaitu PSR secara negatif mempengaruhi Customer PEOU, PR secara negatif mempengaruhi customer PEOU, Health secara negatif mempengaruhi customer PU, PSR secara negatif mempengaruhi customer PU, PSR secara negatif mempengaruhi customer IU, dan PR secara negatif mempengaruhi customer IU. ......As we know the population in Indonesia is increasing and aging, the use of smartwatches and fitness bands that can be used everywhere can reduce the social burden caused by the increasing human need for care and the need for health. To facilitate and encourage the use of smartwatches and fitness bands among young people to the elderly, this study investigates the dominant factors in the continued intention to use on smartwatches and fitness bands, and the smartwatch and fitness band acceptance models for generation Y, X and baby boomers, developed using structural equation modeling. This model was validated using 327 survey samples collected from people aged 17 years to 74 years. The results show that there are 6 hypotheses accepted in all generations, that PSR negatively affects PEOU Customer, PR negatively affects PEOU customers, Health negatively affects PU customers, PSR negatively affects PU customers, PSR negatively affects IU customers, and PR negatively affecting IU customers.

Abstrak :
The study sought to evaluate smartwatch-based sleep quality indicators of fitness to work. Eighteen males (aged 20–26 years) were assigned to three randomized daytime sleep conditions (bad/moderate/good), which varied in terms of lighting, noise, and temperature, for a six-hour period. After this daytime sleep, participants completed simulated computer tasks during a 12-hour nighttime waking period. Prior to those tasks, participants’ fitness to work was determined by subjective measures that included the Sleep Quality Index-Karolinska Sleep Diary (SQI-KSD)), the Psychomotor Vigilance Task (PVT)), and the Karolinska Sleepiness Scale (KSS) to measure drowsiness. Total sleep time (TST), light sleep quantity (LSQ), deep sleep quantity (DSQ), and REM sleep quantity (REMSQ) were recorded using a smartwatch. The results confirmed that TST, LSQ, and SQI-KSD can be used as measures of sleep quality and fitness to work (p < 0.05).