Development and Validation of The Work Readiness Model of Informatics Students Using Multiple Regression

Abstract

Universities have a difficult task in preparing their students to have competencies according to the needs of the digital era industry. This study aims to determine the effect of hard skills, soft skills, and digital literacy on IT student work readiness. This is quantitative research, and the population is students of informatics engineering at Indraprasta University in semester 7 or 8 who have not worked. The number of samples is as many as 125 students (the minimum sample from the calculation of Slovin with an error rate of 5% is 93). Questionnaires were distributed through a simple random sampling technique. The data were processed using multiple linear regression analysis techniques. The results of this study obtained the equation Y = 1.821 + 0.757X1 +0.380X2 + 0.306X3 + e. Simultaneously hard skills, soft skills, and digital literacy have a positive and significant 94.3% effect on IT work readiness. Partially, the effect of hard skills (X1), soft skills (X2), and digital literacy (X3) on IT student work readiness (Y) is 37.4%, 34.3%, and 23.6%. This study proves that hard skills (X1), soft skills (X2), and digital literacy (X3) competencies together have a significant effect on IT student work readiness (Y) by 94.3%.