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Analytics

Heru Hermawan; Rauly Sijabat; M. Fadjar Darmaputra

Kajian Ekonomi dan Akuntansi Terapan 2024 Asosiasi Riset Ekonomi dan Akuntansi Indonesia

This study began with findings that occurred at PT Hanchen Industrial Indonesia, where employees were less than optimal in carrying out their work. It can be seen from the decline in employee work productivity so that the company's targets are not achieved. In this research, it was found that there were several factors that influenced employee work productivity, including compensation, workload and work environment. The aim of this research is to identify and analyze the influence of compensation, workload and work environment on employee work productivity at PT Hanchen Industrial Indonesia. The sample in this study used the Slovin formula with a total of 75 respondents. Data analysis in this research was carried out using the multiple regression method with the help of SPSS version 23 software. The results of the research show that the compensation variable has a positive and significant effect on employee work productivity as evidenced by the t-count value of 4,454 > t-table 1,993, workload has a positive and significant effect on employee work productivity as evidenced by the t-count value of 2,621 > t-table 1.993 and the work environment has no effect and is not significant on employee work productivity as evidenced by the t-count value (-1.313) < t-table 1.993. Simultaneously, compensation, workload and work environment have a significant positive effect on employee work productivity as proven by the calculated F-value of 11,317 > the F-table value of 2.73. The Adjusted R Square determination value is 0.295 or 29.5%.

Ikbal Anggara; Zulfadlillah Zulfadlillah; Siti Nur Hamidah; Ibrahim Abdul Sopyan

Jurnal Riset Rumpun Ilmu Teknik 2024 Pusat riset dan Inovasi Nasional

Applying ergonomic principles in work tool design for manufacturing industries is a crucial factor in improving productivity while maintaining worker health. This research aims to analyze the effectiveness of adaptive work tool design models based on cognitive and physiological ergonomic principles, identify interaction patterns between workstation design and operational performance, and develop a conceptual framework for integrating ergonomic principles into production cycles. The research method adopts a cognitive-physiological approach with qualitative analysis of human-machine interactions, biomechanical simulations using digital human modeling, and muscle load measurements through electromyography. Implementation was conducted using a participatory ergonomics approach and IMU sensor-based real-time monitoring systems. Results show that using materials with controlled deformation capabilities (15-20%) in work tools reduces muscle work by up to 27%, while adaptive automation system integration improves assembly accuracy by 18%. Workstations with ergonomic adjustments increase assembly speed by an average of 12%, and low-cost ergonomic interventions effectively improve productivity by 11-15% in resource-limited environments. Longitudinal analysis reveals that evidence-based ergonomic investments yield a 230% ROI through increased productivity, reduced injury compensation costs, and decreased employee turnover. IMU-based posture monitoring systems integrated with adaptive feedback loops reduced musculoskeletal disorder incidents by up to 41%. In conclusion, ergonomic optimization based on cognitive-physiological principles creates synergy between production efficiency and worker well-being, making it an essential component in achieving sustainable productivity.

Nadia Puspita Sari; Taufik Akbar; Erwin Syahputra

Jurnal Manajemen dan Ekonomi Bisnis 2023 Pusat Riset dan Inovasi Nasional

This research aims to explain and prove the hypothesis regarding the influence of compensation, physical work environment and work facilities on the work productivity employees of CV. Mukti Mulyo. Where this research uses a descriptive research model with a quantitative approach method with a non-probability sampling technique, namely a saturated sample method, with a population of 32 employees and a sample of 32 respondents or all employees used as samples. The analysis techniques used are validity test, reliability test, classical assumption test, multiple linear regression test, partial test (t test), simultaneous test (F test) and determination test (R2) which are processed using the SPSS version 25 data processing program. The research results obtained are that compensation has a partial and significant effect on employee work productivity with a significant t test value of 0.016 < 0.05. The physical work environment has a partial and significant effect on employee work productivity with a significant t test value of 0.001 < 0.05. Work facilities have a partial and significant effect on employee work productivity with a significant t test value of 0.022 <0.05. Compensation, physical work environment and work facilities have a simultaneous and significant effect on employee work productivity with a significant F test value of 0.000 <0.05.

Farah Dina Eka Syamriati; H. Sulbahri Madjir; Djatmiko Noviantoro

Jurnal Publikasi Ilmu Manajemen 2022 Pusat Riset dan Inovasi Nasional

This study aims to determine and prove the influence of leadership, work environment and compensation on work productivity of employees of the Class II Railway Engineering Center for Southern Sumatra Region with Job Satisfaction as an Intervening Variable either directly or indirectly. The population in this study were all employees of the Class II Railway Engineering Center for the Southern Sumatra Region, while the sample was part of the population that would be the object of research. In this study, the total population was 91 people. Sampling in this study used the Saturated Sample technique, namely sampling was carried out as a whole from the total population. In line with the opinion above, in this study, by considering a population of 91 people, the authors took a total of 91 people as research samples. The data analysis used in this study was to use the Structural Equation Model (SEM) analysis method which was operated through the Partial Least Square (PLS) program.

Farina Jessen Yap; Ronauli Fransiska Pasaribu

Jurnal Manajemen dan Ekonomi Bisnis 2022 Pusat Riset dan Inovasi Nasional

This research was conducted at PT. Bangun Makmur Medan. Work productivity that has not reached the company's target because there are still shortcomings that occur to employees when viewed with data in the last 5 years, not all employees can achieve work productivity targets that have not reached the company's target because there are still shortages that occur when viewed with data in 5 years Finally, not all employees can reach the target. Compensation is still very low due to the bonuses made by companies that have not been maximal for employees who have worked optimally. Employees are not satisfied with what they receive from their co-workers who cannot work together and the lack of opportunities for employees to get promotion opportunities and the amount of bonuses received is not yet in line with expectations because the bonuses made by the company are not maximized with employees who have worked optimally. The population is 129 employees and the sample in this study was 98 employees. The sampling technique used is sample random sampling. The technique of collecting data is by pembainigain kueisoner, interviews and documentation studies. Data analysis uses validity and reliability test, classic assumption test, multiple linear regression analysis, determinant coefficient and hypothesis testing.Conclusions in the study that simultaneous Compensation and Job Satisfaction influence the Work Productivity of PT. Bangun Makmur Medan. Partially Compensation and Job Satisfaction influence the Work Productivity of PT. Bangun Makmur Medan. Partially Job Satisfaction influences the Work Productivity of PT. Bangun Makmur Medan. The magnitude of the coefficient of determination that value .10 means compensation and job satisfaction can explain employee work productivity by 31% and the remaining 69% (100-31) is influenced by other variables outside of this study such as: work motivation, career development, work environment and so on