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Bandung Polytechnic for Manufacturing (Polman Bandung) as one of the educational institutions that uses Production Based Education (PBE) in the teaching and learning process needs to prepare graduates who can compete in Industry that demands adequate creativity and skills. In order to ensure that graduates are the best and ready to enter the working and industry, the D3 Study Program - Precision Tool Manufacturing Technology (TPPP), which is under the Manufacturing Engineering Department, Polman Bandung, needs to carry out a fundamental transformation in its curriculum. To realize it, this Study Program carries out an Assessment Program for Curriculum Alignment that analyzing industry satisfaction from competencies of graduates. The competency consists of the core competency, hardskills competency, and softskill competency. The purpose of this study is to find out the gap between competency of students and industrial needs and analyzing industry satisfaction with the quality of academic services at Polman Bandung. The analytical method used was Importance Performance Analysis (IPA) method, this method is an analysis technique which is used to find out which competencies need to be increased. The sampling data was collected from graduates in the last 3 years, industries in which graduates of the last 3 years work, student in the last year, and lecturer. The measured competencies will be classified in 4 quadrants, quadrant 1 recommended to be improved, quadrant 2 is satisfying and its performance must be maintained, quadrant 3 low priority, and quadrant 4 overkill. Based on IPA analysis, the competency which need to be improved comes from quadrant 1 as known a high priority improvement. The results of this competency gap will be analyzed to improve education program by transforming its curriculum.

Currently, challenges in quality improvement have driven various enterprises to create quality management systems in smart factories. The development of quality management systems enables quality control for reviewing product quality, identification, and eliminating product failures. However, process adjustment in quality control decisions may be hard to determine when failures are detected. To overcome this problem, an expert system (ES) that applies the failure mode and effects analysis (FMEA) method for developing quality control systems in brake disc production lines is considered. This quality control system concentrates on analyzing product defects that occur frequently in the production line and will lead to an improved performance of the braking system; the selected product defects are disc thickness variation (DTV), runout, and parallelism. This quality control system developed two modules, the designed FMEA (DFMEA) and component FMEA, which apply a rule-based algorithm for selecting actions. We propose the rules of configuration into the expert system code. The results indicate that the operator can carry out a quality control system with decision-making that can be supported by intelligent searching and reasoning in an expert system.

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