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Organizational Citizenship Behavior (OCB) is improving organizational efficiency and effectiveness by contributing toward resource transformation, innovation and adaptation ability (Williams and Anderson, 1991). The number of employees in Poltekkes Surabaya who are divided into various divisions becomes a problem for human resources management. Therefore, Poltekkes Surabaya director’s managerial ability is greatly determined to organize human resources in order to create an effective and productive organization. In order to find out the relationship between job satisfaction and organizational commitment with organizational citizenship behavior in Health Polytechnic of Surabaya. The research used cross sectional design with subject of Health Polytechnic of Surabaya employees. In order to examine Organizational Citizenship Behavior, the research instrument being used was The Origin Organizational Citizenship Behaviors Questionnaire by Morrison (1994) which already used by Muchiri (2002). Job satisfaction was measured by using Minnesota satisfaction questioner. Organization’s commitment is measured by using questioner which is presented by Allen and Meyer (1990); Panggabean (2004). The research showed that there was a relationship between job satisfaction with OCB with r=0,407; R2 = 0,165 and p Value = 0,000. There was a relationship between organization’s commitment with significant OCB with r =0,2888; R2 = 0,83 and p Value = 0,001. Therefore, there was a significant relationship between job satisfaction and organizational commitment with organizational citizenship behavior with r=0,441; R2 = 0,194 and p Value = 0,000. In summary, there was a positive and significant relationship between job satisfaction with organizationalcitizenship behavior. There was a positive and significant relationship between organization’s commitment with organizational citizenship behavior. There was a positive and significant relationship between job satisfaction and organizational commitment with organizationalcitizenship behavior. The research used cross sectional design with subject of Health Polytechnic of Surabaya employees. In order to examine Organizational Citizenship  Behavior, the research instrument being used was The Origin Organizational Citizenship Behaviors Questionnaire by Morrison (1994) which already used by Muchiri (2002). Job satisfaction was measured by using Minnesota satisfaction questioner. Organization’s commitment is measured by using questioner which is presented by Allen and Meyer (1990); Panggabean (2004). The research showed that there was a relationship between job satisfaction with OC Bwith r=0,407; R2 = 0,165 and p Value = 0,000. There was a relationship between organization’s  commitment with significant OCB with r =0,2888; R2 = 0,83 and p Value = 0,001. Therefore, there was a significant relationship between job satisfaction and organizational commitment with organizational citizenship behavior with r=0,441; R2 = 0,194 and p Value = 0,000. In summary, there was a positive and significant relationship between job satisfaction with organizational citizenship behavior. There was a positive and significant relationship between organization’s commitment with organizational citizenship behavior. There was a positive and significantrelationship between job satisfaction and organizational commitment with organizational citizenship behavior.

Hospital is one of type effort for service that is now stays in very tightening emulation climate. Struggle to create recuring business with customeroccupies central point in the effort hospital to exeed at long-range emulation. Service quality and cutomer value becomes thing which necessary for hospital. This research analysis factors influence customer satisfaction to create hospital service reference enthusiasm in Hospital PKU Muhamadiyah Gubug Kabupaten Grobogan.Research problem is existence of gap or debate at antecedent research would consequence and from customer satisfaction. Other problems is thehappening of downdraft of number of outpatients continually at last four months and existence of improvement of number sighs from patient. Respondent in this research 120 patients with sampling method applies acidental sampling. This research applies analysis Structural Equation Modeling (SEM) what implemented through program AMOS as a means of assists its the analysis.Result of research proves that service quality, cutomer value and excellence of product has positive influence and signifikan to customersatisfaction. Hereinafter, customer satisfaction of influence positive and signifikan to hospital service reference enthusiasm. Excelsior service quality and cutomer value has customer satisfaction of excelsior and causes home service reference enthusiasm which excelsior.

When creating databases for GIS-applications often existing maps are scanned and vectorised for used. However, vectorisation becomes obsolete when GIS-objects can be referred to both in theme and geometry in a raster environment. This article shows to use model spatial data raster and vector for GIS - applications in both the graphical and image structure. Geographical data must first be converted into a computer- readable format before it can be used in a GIS. Spatial data are "elements that can be stored in map form." These elements correspond to a uniquely defined location on the Earth's surface. Spatial data have also been describe as “any data concerning phenomenon a really distributed” in two or more dimensions. (Peuquet and Marble, I990.) Data model is the rules to convert real geographical variation into discrete objects. There are two main GIS data models - vector and raster. Each of the two data models has specific types of data, analysis and displays that can handle better than the other system. The vector model represents geographical reality as a series of discrete objects or features, classified as points, line's or areas (polygons). The geographical co-ordinates describing the locations of these features are stored in the computer database which lies at the heart of the GIS. In the raster model a regular grid of cells, or pixels, is used to encode the features found on the earth's surface. Each pixel has a number associated with it representing; the value of a geographical phenomenon, such as terrain elevation, soil type or biomass. Layers of raster grids covering the same region can be built up to represent further variables.