Article Per Year (5 Year)
p-Index From 2021 - 2026
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All Journal Jurnal Mantik Indonesia Accounting Research Journal
Calvin Calvin
Universitas Prima Indonesia, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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The effect of work stress, organisational culture and work environment on employee performance at PT Otani Calvin Calvin; Cut Fitri Rostina; Rita Rita; Belaminov Br Sirait
Jurnal Mantik Vol. 7 No. 2 (2023): Agustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i2.3859

Abstract

The purpose of this research to know and explain the effect of work stress, organisational culture and work environment on employee performance. The research is descriptive quantitative type, with explanatory nature. 250 employees at PT Otani are the population in the study. The sampling technique used the Slovin formula which resulted in a sample of 154 people. Interview techniques, questionnaires and documentation studies were conducted to obtain research data. Data analysis methods are multiple linear regression, coefficient of determination test, partial test and simultaneous test. The research resulted in Work Stress, Organisational Culture and Work Environment both independently and simultaneously affecting the performance of employees of PT Otani. The variation of independent variables on the dependent variable is 43.6%, the remaining 56.4% is explained by other factors not included in this study, such as leadership, work conflict, compensation, and others.
Covid-19 data visualization using tableau Rudy Tantowi; Calvin Calvin; Saut Dohot Siregar
Indonesia Accounting Research Journal Vol. 13 No. 1 (2025): September: Auditing, Finance, Accounting, Management
Publisher : Institute of Accounting Research and Novation (IARN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/iacrj.v13i1.523

Abstract

The COVID-19 pandemic crisis resulted in the accumulation of extensive epidemiological data that demanded the implementation of advanced visualization techniques to support community health surveillance systems. This research adopts the Tableau platform in the development of a dynamic dashboard for a holistic examination of COVID-19 data. A quantitative-descriptive methodological approach was applied using secondary databases from global repositories covering parameters of cases, fatalities, morbidity, and territorial distribution. The construction of the dashboard consolidates chronological-geographical visualization, predictive analytics, and assessment of vaccination efficiency. The findings indicate the superior capability of Tableau in processing epidemiological big data with optimal performance metrics. Temporal investigation identified recurring patterns with different wave characteristics, while geographical mapping exposed the epicenters of transmission and propagation paths. The forecasting model achieved high precision at near-term horizons (MAPE 8.45% for 7-day prediction). Vaccination evaluation displayed a constructive correlation between coverage levels and the suppression of incidence. Analysis of user experience confirmed preferences for an interface that is user-friendly with sophisticated analytical capabilities. This study contributes academically by enriching the literature on health data visualization and practically by offering a dashboard model that supports real-time public health decision-making.
Co-Authors Belaminov Br Sirait Cut Fitri Rostina Rita Rita Rudy Tantowi Siregar, Saut Dohot