Employee performance is a crucial factor that directly contributes to the achievement of company goals, but the evaluation process is often complex. This study aims to examine and evaluate the influence of work motivation, leadership, and work discipline on improving employee performance. The study used a descriptive quantitative method through a survey by distributing questionnaires to 87 employees of PT. Gama Tobako Karanganhyar. The data obtained were analyzed using multiple linear regression tests with the help of SPSS software version 29.1. The results of the analysis showed that the variables of work motivation, leadership, and work discipline had a significant effect on increasing employee performance productivity. Partially, work motivation is a dominant factor in driving productivity, with a regression coefficient value of 0.859, t-count of 5.544, and a significance level of 0.000. These findings indicate that the higher the motivation, both intrinsic and extrinsic, the greater the contribution to improving work quality, productivity, and employee commitment to the company.

This research examines the use of Artificial Intelligence (AI) for demand prediction and supply chain management in Indonesian e-commerce firms. E-commerce businesses face significant challenges in predicting consumer demand fluctuations and maintaining supply chain efficiency. Using a mixed-method approach, data were collected from eight e-commerce companies to evaluate the impact of AI on demand forecasting accuracy, supply chain efficiency, and operational cost reduction. The findings show that AI improves demand forecasting accuracy by 30%, accelerates delivery times by 40%, and reduces operational costs by 20%. However, data quality remains a key challenge in maximizing AI performance. This research contributes to the literature on supply chain management and AI, offering practical insights for companies aiming to enhance their operational efficiency through AI adoption. Recommendations include improving data quality, employee training, and gradual AI implementation to achieve optimal outcomes.

The development of Technology and Information (IT) in the world of education is changing the way teachers convey knowledge to students. Teaching that has been carried out traditionally in one direction needs to be further developed with new learning methods that are interactive and interesting, more creative and participatory in order to increase student learning motivation. The aim of implementing PKM is to equip teachers to develop lesson materials in the form of IT-based interactive learning by utilizing the Canva and Microsof Excel applications. The activity was carried out at SDI PK Muhammadiyah Delanggu which was attended by 24 teachers by the PKM STIE STEKOM team. The training included making interactive quiz learning videos with the Canva application and processing student data with practical Microsoft Excel formulas. The results obtained from this activity were that all teacher participants gained skills and knowledge in developing learning media in the form of learning videos that were more interesting and interactive and completing administrative tasks could be done more quickly. Teachers succeeded in increasing their competency in using Canva and Microsof Excel as interactive learning media and completing assignments.