Indikator keberhasilan pelayanan kesehatan adalah kepuasan pasien(Depkes RI, 2008). Konsep mutu layanan sangat memiliki kaitan dengan kepuasan pasien. Mutu pelayanan kesehatan menunjukkan pada tingkat kesempurnaan pelayanan kesehatan dalam menimbulkan rasa puas pada diri setiap pasien. Makin sempurna kepuasaan tersebut, makin baik pula mutu pelayanan kesehatan (Depkes RI, 2008). Pada penelitian ini kepuasan pasien diukur dengan ke adanya mutu pelayanan terkait kualitas pelayanan dan kompetensi pegawai di Puskemas Halmahera kota Semarang. Indikator yang membentuk secara signifikan variabel kepuasan pasien adalah K1,K2,K4 dan K6 , Indikator yang membangun variabel kompetensi pegawai adalah KOP1,KOP2,KOP3,KOP4, dan KOP7 sedangkan indikator-indikator pada variabel yaitu reliability, assurance, tangible, empathy dan responsiveness signifikan dalam membentuk variabel kualitas pelayanan. variabel kepuasan pasien dan kompetensi pegawai memiliki nilai construct reliability (CR)  lebih dari 0,7 sehingga  memiliki konsistensi tinggi namun nilai Average Variance Extracted (AVE) untuk keseluruhan variabel baik first-order maupun second-order kurang valid.An indicator of the success of a service in the world of health is patient satisfaction. The thing that is no less important in serving patients to achieve patient satisfaction is the quality of service at the hospital. The quality of health services shows the level of perfection of health services in creating a sense of satisfaction in each patient. The more perfect the satisfaction, the better the quality of health services. In this study, patient satisfaction was measured by the quality of service related to service quality and employee competence at the Halmahera Health Center in Semarang. The indicators that make up significantly the patient satisfaction variable are KP1, KP2, KP4, and KP6, the indicators that build the employee competence variable are KOP1, KOP2, KOP3, KOP4, and KOP7 while the indicators on the variables are reliability, assurance, tangibles, empathy, and responsiveness significant in shaping the service quality variable. The variable of patient satisfaction and employee competence has a construct reliability (CR) value of more than 0.7 so that it has high consistency but the Average Variance Extracted (AVE) value for all variables, both first-order and second-order, is less valid.

Problems with people's welfare typically result from the government's development efforts in a region not being done properly or not being done equally. Consider grouping and defining the traits of each region's degree of welfare as a potential answer to ensure that development policies and strategies are well-targeted. This study aims to classify 17 regency/cities in Southeast Sulawesi province based on several indicators of people's welfare. The method used is hierarchical cluster analysis with several approaches, including Single Linkage, Complete Linkage, Average Linkage, and Ward's. The data used in this study is secondary data obtained from the publication of the Central Agency of Statistics (CAS) of Southeast Sulawesi Province. Based on the results of the evaluation the best method used is Ward's method which produces three clusters. The first cluster consists of 9 regencies, namely Buton, North Buton, South Buton, Central Buton, Muna, West Muna, Wakatobi, Konawe Islands, and East Kolaka, the majority of which come from the archipelago. Some of the problems that occur in these areas are the relatively high poverty rate and the low average length of schooling and life expectancy. The same thing happened to the second cluster which consisted of 6 regencies, namely Konawe, South Konawe, North Konawe, Bombana, Kolaka, and North Kolaka with problems of poverty, the average length of schooling, and relatively low sources of proper drinking water when compared to other clusters. The third cluster consists of 2 urban areas, namely Kendari City and Baubau City, the problems that occur are the relatively high unemployment rate and population density. The government ought to offer more initiatives to handle issues with poverty, education, and health in regions in clusters 1 and 2. While in cluster 3, the government ought to offer more initiatives to combat jobless issues and prepare for rising population densities.