The unrelated parallel machine scheduling (PMS) problem is essential for the manufacturing industry. Scheduling will save company resources, especially time management. By solving scheduling problems quickly and precisely, the company can get more profit. On that note, this paper focused on unrelated PMS problems, which did not consider the inherent uncertainty in processing time and set up time by minimizing the makespan and tardiness. This paper aimed to minimize the makespan and tardiness using timing considerations. This paper described how to schedule unrelated parallel machines using the Ant Colony Optimization (ACO) Algorithm approach. The ACO is beneficial for inherent parallelism problems and can provide fast and reasonable solutions. This study revealed that the results of ACO Algorithm scheduling were obtained under a steady condition in iteration 30467. This condition can be interpreted that the makespan and tardiness value is close to 2.75%. By minimizing the makespan and tardiness, the delay of product delivery to consumers can be anticipated. Moreover, a company can maintain customer satisfaction and increase its profit.

This study aims to determine the effect of work motivation and work environment on employee work discipline (case study of CV Pelita Offset Jombang). The population in this study were all employees of CV Pelita Offset Jombang with a total of 53 people. The sampling technique used was the saturated sample method. The questionnaire method used for data collection in this study. This study uses Partial Least Square (PLS) as a data analysis technique. The results show that work discipline is positively influenced by work motivation and work environment as seen from hypothesis testing where work motivation has a t-statistic of 2.879, the work environment has a t-statistic of 10,823. This shows that work motivation and a good work environment will increase the work discipline of CV Pelita Offset Jombang employees