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All Journal Jurnal Informasi dan Teknologi JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi)
Susi Arijanti
STP Aviasi
Computer Science & IT Economics, Econometrics & Finance

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Determinant Factors Of Work Stress Of Production Workers At National Printing Company Moh. Samsul Arifin; Susi Arijanti; Betty Rahayu; Fatimah Malini Lubis; Hedrat M. Nure
JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Vol. 9 No. 4 (2023): Agustus 2023
Publisher : Sekretariat Pusat Lembaga Komunitas Informasi Teknologi Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jemsi.v9i4.1412

Abstract

Workplace stress is a physical and psychological disruption of employees brought on by an imbalance between their resources and the demands of their jobs. According to findings from early worker research, 14 out of 30 employees reported feeling stressed at work. Negative effects of unmanaged job stress will be felt by both employees and businesses. The aim of this study was to identify the variables linked to production workers' work-related stress. This study has a cross-sectional design and is quantitative in nature. A total of 76 production workers made up the sample size for the data collection, which took place between September-October 2022. Bivariate analysis with the Mann-Whitney test and the Chi-Square test was used to analyze the data. Over 50% of production workers report experiencing work-related stress. Interpersonal conflict (p-value = 0.039), job uncertainty (p-value = 0.022), workload fluctuations (p-value = 0.040), and extracurricular activities (p-value = 0.032) are the four variables that significantly correlate with work stress.
Application of The Rapid Application Development Method to Develop a Decision Support System for Employee Performance Assessment in a State-Owned Electricity Company Merissa Fermica Iskandar; Donny Dharmawan; Diding Kusnady; Nika Sintesa; Susi Arijanti
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.486

Abstract

This study aims to create a decision support system for employee performance evaluation that will help managers choose qualified applicants for advancement. In this study, observation, interviews, and literature review were employed as data collection techniques. RAD is the system development methodology that the author used in this study. Black box testing is used for testing. The following conclusions were drawn from the research's findings: first, it created a helpful decision support system that helped managers judge employee promotions by giving them more objectivity. This system helps managers make more accurate and equitable promotion decisions by offering rewards for evaluating employee performance. Second, this research contributes to the field by developing a decision support system visually representing employee performance metrics using graphs. Using the MFEP and MPE methods in the system provides a clear and easy-to-understand picture of employee performance. With graphs, managers can quickly and efficiently evaluate employee performance data, facilitating decision-making.
Co-Authors Betty Rahayu Diding Kusnady Donny Dharmawan Fatimah Malini Lubis Hedrat M. Nure Merissa Fermica Iskandar Moh. Samsul Arifin sintesa, nika