This study focuses on the influence of work environment, work discipline, and organizational commitment on work productivity. A quantitative approach using a survey method was used in this study, with 77 employees of PT Madubaru PG. PS. Madukismo as the sample selected randomly using random sampling. A Likert scale questionnaire was used to collect data, which was then analyzed using multiple linear regression to examine the influence between variables, both partially and collectively. The findings indicate that the work environment does not have a significant influence on work productivity (significance 0.134). Meanwhile, work discipline (significance 0.038) and organizational commitment (significance 0.000) were found to have a positive and significant influence on work productivity. The three variables together were proven to have a significant influence on work productivity (F value of 20.614 and Adjusted R Square of 43.6%).

Tourism deposits have great potential in prospering the surrounding community and improving the economy. The ability and awareness of the community in managing the tourism potential that exists around is certainly very petrified for the economic life of local residents. The purpose of this research is to find out how Human Resources affect business sustainability. This study uses a quantitative approach with the population of this study is all Batik Micro, Small and Medium Enterprises (MSMEs) in the Krebet Tourism Village Area, Bantul Regency. Simplified sampling techniques. This technique is carried out by selecting samples freely according to the ease and access to data. The results of the study showed that the increase in knowledge did not have a significant effect on the business sustainability variable. Meanwhile, other variables such as HR Skills and Abilities have a significant impact on the business sustainability variable. the Adjusted R Square value is 0.764 or 76.4%. This shows that the improvement of knowledge, skills and abilities of human resources towards business sustainability is 76.4% while the remaining 23.6% is explained by other variables outside the model.