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p-Index From 2021 - 2026
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All Journal Jurnal Manajemen Computer Journal
Purnasiwi, Rona Guines
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Evaluasi Kepuasan Pelanggan terhadap Kendaraan Motor Vario Menggunakan Metode Simple Additive Weighting (SAW) Purnasiwi, Rona Guines; Tundo, Tundo
Computer Journal Vol. 3 No. 2 (2025): August
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/cj.v3i2.323

Abstract

This study aims to measure the satisfaction level of Honda Vario motorcycle owners by applying the Simple Additive Weighting (SAW) method. SAW was chosen to evaluate various factors, including price, engine performance, fuel efficiency, safety, and riding comfort. A survey was conducted involving 100 Honda Vario owners to gain insights into their experiences. The results indicate that 18 participants were very satisfied, 39 satisfied, 30 moderately satisfied, and 13 dissatisfied. Comfort and fuel efficiency received the highest appreciation among users. Although some respondents mentioned shortcomings in certain features, most still prefer Honda Vario for daily transportation. These findings can assist manufacturers in understanding customer expectations and considering improvements in product quality as well as after-sales service. For prospective buyers, the results offer useful information to help match their choices with personal needs. By using the SAW approach, the evaluation process becomes more objective, supporting better decisions for both users and manufacturers.
Mental health pekerja Generasi Z: technostress dan burnout Handayani, Kristin; Purnasiwi, Rona Guines
Jurnal Manajemen Vol 15 No 1 (2025): November 2025 – April 2026
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Institut Bisnis dan Informatika Kwik Kian Gie

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46806/jm.v15i1.1927

Abstract

Lack of impulse control over excessive technology consumption causes addiction and affects mental health in this digital era. Generation Z as a massive organic workforce in the use of technology is vulnerable to mental health disorders. Previous research on the effects of excessive internet use shows that workers who are involved without control are vulnerable to technological stress. Differences in work attitudes become fatigue that intervenes in the mental health of Generation Z in the workplace. The main objective of this study is to verify whether there is an influence between technostress and burnout on the mental health of Generation Z. This study involved 55 respondents. Indicator of Mental Health Scale, indicators for measuring technostress, and indicators to measure the level of burnout for measure influence. With SPSS 31 show that the highest technostress is related to the speed of technology that is greater than the limits of individual capabilities of Gen Z. The highest burnout is due to the feeling of perception of responses in the workplace. The regression model explains 63.1% of the variance in mental health (R² = 0.631). Future implications require more in-depth research linking the work ecosystem with Millennials and Generation X.
Co-Authors Handayani, Kristin Tundo, Tundo