This research is motivated by the large number of complaints of the poor and micro-scale industries that have to buy 3 kg of LPG gas above the highest retail price set by the Aceh Government, Rp. 18,000. There are several cases where people have been forced to buy at almost double the price (> Rp. 30,000). One of the main causes of this spike is the unavailability. To ensure the availability of these goods, it is deemed necessary to establish a goods management policy (logistics system) which includes decisions on the allocation of goods distribution, inventory policies of all entities in the system being observed, and their delivery routes. With the formulation of an optimal goods management policy, it is considered to ensure the availability of goods which will lead to an appropriate selling price and, no less important, to reduce the management cost which has the effect of reducing the need for subsidies that must be issued by the government. The model used as a problem solving tool for the integration model of determining the location, inventory policy, and allocation delivery routes is classified as a Location-Inventory-Routing Problem (LIRP). The LIRP model is then performed optimization to determine which agents should operate, inventory policies at agents and bases, and delivery routes. From the model developed, it was concluded that only one operating agent was needed to supply 3 kg LPG gas, which served all bases operating in six villages in Muara Dua District, Lhokseumawe City.
Puskesmas Baktiya is a company engaged in central of public health service services related to the patient. Thus it is necessary to improve the quality of services provided so that customers feel comfortable and satisfied, and need a method to measure the quality of Pusksmas Baktiya. The data collection steps were conducted by observing and distributing questionnaires from several criteria. The criteria are obtained through interviews and literature study. The method used to measure the quality of service using Fuzzy-Servqual. The research instrument used questionnaires with a total sample of 40 respondents, ie outpatients Puskesmas Baktiya. The results of data processing, obtained that the value of fuzzy-servqual per criteria as a whol has a low value so that Puskesmas Baktiya needs to make improvements. It also shows that customer expectations are not yet in line with the perceptions of the services they receive. With these results the management of Puskesmas Baktiya need to immediately improve the quality of service to attract patients. Patient waiting time for service to doctor’s office (after registration) and patient waiting time for drug taking (after service in check room).
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