Prediction of Timely Graduation using The 5c-4c Knowledge Conversion Method in Students of Vocational Welfare Education Study Program
The purpose of the study was to predict timely graduation for Family Welfare Vocational Education (PVKK) FKIP UST students with identified factors, namely school origin, study objectives, social studies average, history of repeating courses, history of collecting lecture assignments, history of paying tuition fees. off-campus activities, and student study time. These factors are identified using knowledge conversion 5c-4c by converting data into information with 5 added values, namely contextualized, categorized, calculated, corrected, and condensed. The population in this study were PVKK students of the class of 2019, with the technique of taking it through a questionnaire. The results of the study predict a very high increase in on-time graduation as indicated by school origin, the main purpose of choosing a PVKK study program, a history of completing assignments, a history of fluency in studies each semester with an average semester achievement index above 3.00, a history of payment of education funds that are not in arrears, and activities outside of study only sometimes show a high prediction of high PVKK students' on-time graduation. Recommendations for increasing graduation through updating the curriculum by applying problem-based learning to the introduction of school culture and field practice in schools or industry, implementing project-based learning in research methods courses with proposals as outputs, intensive mentoring on student final assignments, grouping students based on capabilities and types of research, and monitoring the mentoring process.
Keywords: timely graduation, Knowledge Conversion 5C-4C, study period.