This study aims to introduce an investigation method to solve mathematical problems using the Japanese anime series Detective Conan, while the spesific purpose is to introduce students to problem solving method that they need to understand based on the information provided and manage the information based on their abilities. The method used in this research is classroom action research by showing one episode of the Detective Conan anime, after that organized several groups to test each group could solve the challenge quiz within 30 minutes and the results of the analysis of work based on cognitive function. The results showed that the mean duration of group investigation quiz was not significantly different from 30 minutes. In addition, based on the mean assessment of the results of the work there are two results, namely there are differences in values based on groups and no differences in values based on cognitive function..
Population data needs are absolute things that must be met by BPS, but the most complete source of population data comes from population census results. Meanwhile, the implementation of the population census is only once every 10 years because it requires cost, time, and energy. Population prediction in the following year in each census period needs to be done to determine the difference in population growth in that year. Therefore, researchers are interested in studying the "Application of the Advanced Newton Gregory Polynomic Method and the Newton Gregory Backward Polynomic with the Hamilto-Perry Method in Predicting the Population of North Sumatra." this case the researcher will analyze between the three census periods. The purpose of this study is to obtain effective results from the three methods so that it can be used as an alternative application for the Central Statistics Agency (BPS) of North Sumatra province to predict the population in the year between the census. For Hamilton-perry, the application of the method is easy to do because the calculation process is uncomplicated and the data used as prediction material is very minimal, but the predicted value produces a non-rounded value so it needs to be rounded but when the value has been rounded there is a difference between the value not rounded to the rounded value aggressively. Therefore we need an adjustment to the value of rounding results based on the value not rounded. Then based on an aggregate trial of population prediction using the Hamilton-Perry method it produces a value that is higher than the actual value. For the advanced newton gregory polynomic method and the backward newton gregory polynomic each obtained total relative error isΣ𝜀𝑅=0,31412327 and Σ𝜀𝑅=0,3522818. From the two relative errors it is known that the total error for the advanced Newtonton polynomial method is smaller than the total error for the backward Newtonian polynomial method. Thus the Newton Newton method of advanced polynomial has better accuracy
The Comparison of Learning Models MURDER and AIR on Mathematics Learning Outcomes of Students at SD Negeri 153073 Anggoli I. The purpose of this study was to determine the differences in mathematics learning outcomes for students at SD Negeri 153073 Anggoli I using the MURDER model with the AIR model. The population in this study were students of SD Negeri 153073 Anggoli I, with a sample of 13 students in grade II-A SD and 13 students in class II-B. The data collection technique was carried out by giving a written technical test and in the form of a description of 10 questions in the form of a pretest and posttest with multiplication and division material. The stages of the research method are normality test, homogeneity test, hypothesis testing. Then analyze the data used in this study using the two sample t-test formula. The mathematics learning outcomes of class II students at SD Negeri 153073 Anggoli I before the application of the MURDER learning model were in the medium category with an average number of 66.92 while after the application of the learning outcomes of students increased with an average number of 83.46. The mathematics learning outcomes of second grade students at SD Negeri 153073 Anggoli I before the implementation of the AIR learning model were in the medium category with an average number of 68.46 while after the application of the students' learning outcomes increased with an average number of 86.92. In testing the hypothesis using the t-test, namely the independent sample t-test, where the data being tested is the data from the posttest results of the two groups. Based on the calculation results of SPSS 16.0, Sign (2 tailed) = 0.003 which means < (0.05 or 5%), then H1 is accepted which means that there is a significant difference between the mathematics learning outcomes of second grade students at SD Negeri 153073 Anggoli I taught through MURDER and AIR learning models.
Along with the increase in the number of human population and economic conditions that are increasingly advanced, the public awareness of health is increasing. In addition, currently access to services for the Social Security Administering Agency (BPJS) is getting wider, the hospital must be able to add capacity to existing facilities and improve the quality of services. This study aims to implement the Fuzzy Servqual method and Quality Function Deployment on the quality of BPJS Health services in H. Adam Malik Hospital and determine which attributes are priority improvements. Data processing based on the criteria of the Fuzzy-Servqual method by determining fuzzy sets, fuzzyfication and defuzzyfication. determine the Gap and determine the priority of improvement using the Quality Function Deployment method. The results of this study indicate that all 19 BPJS service attributes provided by applying the Fuzzy Servqual method still do not meet patient expectations, because the value of patient satisfaction with services is still lower than the expectation value. Attributes that must be prioritized to improve their quality, namely: Revelation Attribute of Q2 with a gap value -3.68, Revelation Attribute of Q7 with a gap value of -1.58., Revelation Attribute of Q12 with a gap value of -1.58. The technical response that became the main target was the Procurement of Excellent Training Services, the addition of AC Fan in the inpatient room, making improvements to the facilities and infrastructure.
The research objective was to measure the relative efficiency value of Medan city health centers using the DEA model and determine the calculation of input and output targets to increase the efficiency value of the inefficient DMU. The research subjects were patients at the Medan City Health Center. The data collection technique was carried out using BPS secondary data. The discussion in this study shows that inefficient health centers, namely Health Center of Medan Tuntungan, Health Center of Medan Johor , Health Center of Medan Polonia, Health Center of Medan Baru, Health Center of Medan Barat, and inefficient target improvements refer to CRS for non-optimal variables. It can be achieved by increasing the number of nurses, increasing the number of midwives, increasing the number of diarrhea patients, adding number of baby births and carried out through socialization activities regarding the relevant puskesmas facilities The inefficient improvements to the Puskesmas repairs were 0.71966, 0.7946, 0.938, 1.1356 and 0.99659.
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