This research aims to analyze the influence of word of mouth, price and product quality on product purchasing decisions at Abadi Digital Printing, Kediri City. This type of research is quantitative research. The sampling technique in this research was using the Accidental Sampling method. This research uses analytical techniques of validity test, reliability test, correlation coefficient test (R), multiple linear regression test, T test, and F test. The results of the research show that there is an influence of word of mouth, price, and product quality on product purchasing decisions in eternal digital printing in the city of Kediri.

This research aims to determine the influence of the physical work environment, work discipline and work stress on employee performance at the UD Bunga Mas brown sugar factory. The variables used in this research are Physical Work Environment (X1), Work Discipline (X2), Work Stress (X3), and Employee Performance (Y). The research location is the UD Bunga Mas Brown Sugar Factory which is located in Karanglo Hamlet, Tales Village RT 01 RW 04 Ngadiluwih District, Kediri Regency. By using data collection techniques in the form of interviews, questionnaires and observations.Meanwhile, the analysis used uses quantitative methods with multiple linear regression tools using the SPSS version 25.0 software program.
Based on tests carried out by partial linear regression analysis, it shows that the Physical Work Environment (X1) has a negative and insignificant effect on Employee Performance (Y) and Work Discipline (X2) has a positive and insignificant effect on Employee Performance (Y). Meanwhile, the Job Stress variable (X3) has a negative and significant influence on Employee Performance (Y). This shows a significant value for variable X1 0.116 > 0.05, variable X2 0.538 > 0.05, and X3 0.000 < 0.05. Partially, the Physical Work Environment (X1), Work Discipline (X2), and Work Stress (X3) have a positive and significant effect on Employee Performance (Y) at the UD Bunga Mas Brown Sugar Factory.

Covid-19 has spread widely with various variants, disrupting human social activities, the activities in question include the implementation of events, but there are other alternatives by utilizing technology, events can still be held online. However, the number of events that are held online makes it difficult for someone to find the event they want because there are too many events on the website so someone experiences information overload. Therefore, the authors conduct research with the goal to make it easier for someone to find the event they want by implementing a recommendation system on the website. In this study, the authors make a recommendation system using the Content-Based Filtering method in recommending an online event. The results of this study obtained an accuracy of 86% of the performance of the model carried out by SVM.