This research aims to (1) evaluate the application of the teaching factory (Tefa) in the field of machining expertise in Vocational High Schools (VHSs) and (2) identify the obstacles to the implementation of Tefa. The research uses the CIPP (Content, Input, Process, and Product) evaluation method. This research was carried out in four vocational schools on the competence of machining expertise with the criteria of having implemented Tefa for more than five years and as a pioneer in implementing Tefa. The four schools are Vocational High School (VHS) Mikael Surakarta, State Vocational High School (SVHS) 1 Magelang, SMK Warga Surakarta, and SMK Karya Teknika Colomadu Karanganyar. The research respondents are principals, vice principals, heads of competency skills, and managers of Tefa. The data collection was through interviews, observation, and document scrutiny. The instruments used are an interview guide, observation sheet, and document analysis guide. The qualitative data analysis used qualitative data processing software. The results are as follows. (1) The application of Tefa in VHSs based on the evaluation is the context component 98%, the input component 89.25%, the process component 87%, and the product component 82.5 %. The percentage of evaluating the implementation of Tefa as a whole for the CIPP component is 89.2%, or very good; and (2) The obstacles faced in implementing Tefa in vocational high schools include rules for product sales, rules for working hours for public teachers, setting practicum schedules, working hours that were not flexible, rapid technological changes, understanding of block schedules, and lack of human resource competence. The results of this study imply that schools that implement Tefa are expected to be well-managed because it impacts the progress of VHS processes and products.
This research aims to find out 1) customer satisfaction index, 2) important employability skills aspects which expected by industries or users of mechanical engineering vocational high school. This research is a quantitative descriptive study that uses the customer satisfaction index approach and Importance Performance Analysis. The subject of this research is the industry with the Human Resource Manager or Production Manager as respondent. The result of the satisfaction index is 76.98%. This value is within the satisfied range, it's mean industry expectations are full fill by grading. Importance employability skills aspects expected by industries are job or duty respect (3.56), discipline (3.55), honesty (3,45), technical design ability (3.44), operate and programming CNC Machine (3.40), operate manual machine (3.33), caring (3.33), using software design (3.22), creativity (3.22), communication (3.11), collaboration (3.11), and automation (3.00). Base on importance-performance analysis indicators job or duty respect and technical design ability are in the quadrant I. Discipline, honesty, concern, operate dan programming CNC, and operate the manual machine are in quadrant II. Communication, creativity and automation are in quadrant III. Using software design and collaboration are in quadrant IV.
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