This research is motivated by the strategy carried out by the board including collaborating / collaborating with alumni to promote their alma mater in new prospective students in their neighborhoods and workplaces can improve competitiveness by building a superior scientific culture of printing students as qualified quality learners tough facing the challenges of the times. This research uses a qualitative approach. Data collection techniques are in-depth interviews, observation, Focus Group Discussion, documentation. Data analysis techniques are data reduction, data presentation, and drawing conclusions / verification. From the results of this study, the researchers concluded that: Competitive strategies are carried out by: a) greater demand for good communication with the head and foundation for the advancement of madrasas, increasing education staff and infrastructure, b) Offers by preparing and managing students well, combining the curriculum of the Ministry of religion curriculum and the Salafiyah curriculum. c) Marketing by combining learning of the Ministry of religion curriculum and the Salafiyah curriculum, costs allocated according to the budget, alumni are real life brochures and through websites and competitions lined up, and access to madrasas is very easy and extends locations. Based on internal and external analysis above in a stable growth strategy condition which means that the situation is favorable because boarding schools have opportunities and strengths, boarding schools can take full advantage of opportunities so as to be able to implement strategies that support aggressive growth policies. Keywords: Strategic Management, Competitiveness
This research is to examine and analyze the competence of the work environment commitment of ASN Job Satisfaction. The demands of organizations to obtain, develop and maintain quality human resources are increasingly pressing in accordance with the dynamics of an ever-changing environment. In the context of efforts to achieve organizational goals. Improved employee performance individually will encourage the overall performance of human resources, which is reflected in improved performance This research. Using research models (jobfunction). Data extracted from the target or research subject is data about individual orientation, in the form of competency, commitment, work environment and performance, identified as many as 4 (four) variables to be examined, including: 1) ASN Competency, 2) Organizational Commitment, (3) Environment Work, (4) ASN Job Satisfaction and (4) ASN Performance. Respondents used as a sample of 77 respondents using the Smart PLS Algorithm Boostrapping report. The results of the study came to the conclusion of the Algorithm Boostrapping report is a test to prove the level of significance of the hypothesis proposed by researchers. Output Boostrapping Algorithm shows that the effect of ASN job satisfaction on ASN performance is influential with a T-statistic of 9,531> 1.96. The original sample estimate value is 1,058, which shows that the direction of the relationship between ASN job satisfaction and ASN performance is positive.
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