Publication Search

Supply chain business network that explained as an organization network that involve supplier relationship upstream) and customer downstream). Effectivity of integration on supply will be the key factor for company to reach continuous improvement that make company became competitive.The difference result in applying integration pattern, could be seen at restaurant sector, dept food and beverage (hotel) and fact food restaurant. Theunderlined is that each sector are different in integration factor and the influence to company performance. Based on that problem, the research question is : how the integration pattern characteristic of supply chain and implementation ( direction and level) from each sectors. Sample amount of this research is 31 company that include of 15 restaurant, 10 dept food and beverage hotel and 6 fast food restaurant.Based on the result of regression equation knows that integration pattern supply chain management positively affecting dept food and beverage company performance in Semarang. Variation of variabel company performance that can be explained by variation of integration pattern supply chain management is 69% and the rest 31% affecting by another variable outside variable that used in this research.There is a significance difference between restaurant in Semarang that consist of restaurant, food and beverage division and fastfood restaurant with integration pattern supply chain management and company performance.

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.

Remote sensing is the science and art of obtaining information about an object, area, or phenomenon through the analysis of data acquired by a device that is not in contact with the object, area, or phenomenon under investigations Remote sensing data is of such nature and volume as to require it to be compatible with processing and outputing by computers. They are the easiest, fastest, and most efficient way to produce images, extract data sets, and assist in decision making. One special function is to assist in manipulating other kinds of data about the spatial or locational aspects of areas in the world that are the subjects of interpretation and decision making. The bulk of the data in such systems have in common a geographical significance, that is, they are tied to definite locations on the Earth. In this sense, they are similar to or actually make up what has become a powerful tool in decision making and management. The Image-Based Information System (IBIS) was developed in 1975 at the Jet Propulsion Laboratory, and is designed to be a comprehensive geographic information system that performs operations on raster image, tabular, and graphics format data, using the Video Image Communication And Retrieval (VICAR) image processing system. This was accomplished by the creation of a new VICAR-based file format for tabulating raster format geographic information over multiple data planes.

Study for the effect of share trading days to the daily share returns in Stock Exchange has been carried out most invarious countries. Overseas studies produce consistent findings that the daily share returns results in negative impact on Monday (Monday Effect) and resulting inpositive impact on Friday (Week End Effect). Those effects are called as day of the week effect. The similar studies carried out Indonesia have not obtained consistent findings as similar as overseas including overseas studies make use of Ordinary Least Squares (OLS). Whereas this study does not utilize this approach, as most of the assumptions could not be fulfilled. Technical Approaches dealt with the share returns calculation dominantly affect to the amount of daily share return. These are due to the facts that the irrational factors also used by the investors to do the transactions. Consequently, the demand and supply of the share are also influenced by the behaviour of the investors them elves. Statistical approach used for examining the day effects is Autoregressive Moving Average (ARIMA) Approach. This approach is chosen as there is no hetero scedasticity or there is an existence of stationary data. To examine the difference of share trading day effects to the share returns this study utilizes Analysis of Variance (ANOVA), 244 daily aggregate share price indexes (IHSG) and LQ45 Indexes are used for this study. The findings of this study suggest that (1) all of the share trading days give a positive impact on the share returns, (2) daily aggregate share price indexes (IHSG) do significantly affect the share returns on Thursday and (3) LQ45 Indexes do significantly affect the share returns on Thursday and Friday. These findings imply that the investors should consider the day effects in deciding to be involved in share trading so that they could maximize their future returns.