Quality Improvement Model of Nursing Education in Muhammadiyah Universities Toward Competitive Advantage

Abstract

Introduction: Most (90.6%) nursing education quality in East Java is still low. That is because the quality improvement process in nursing education generally has been conducted partially (random performance improvement). A solution which might be help would be to identify a proper quality improvement model in nursing education toward competitive advantage. Method: This research used a survey to gain the data. The research sample was 16 Muhammadiyah Universities chosen using simple random sampling. The data were collected with questionnaires of 174 questions and a documentation study. Data analysis used was Partial Least Square (PLS) analysis technique. Result: The nursing education profile in Muhammadiyah Universities in Indonesia showed of 10 years establishment, accredited B and the competition level in one city/regency was averagely more than three Universities becoming the competitors. The quality improvement model analysis of nursing education towards competitive advantage in Muhammadiyah Universities was directly affected by the focus of learning and operational process through human resources management improvement; on the other hand information systems also directly affected quality improvement and quality process components: leadership, human resources, focus of learning and operational process. Improving human resources would directly influence proper strategic planning. Strategy planning was directly influenced by leadership. Thus, in improving the quality of nursing education, the leadership role of the department, proper information systems, and the human resources management improvement must be implemented. Discussion: A quality improvement model in nursing education was directly determined with learning and operational process through human resources management along with information systems, strategy planning factors, and leadership. The research findings could be developed in the quality analysis application program.