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Jurnal Gaussian

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Published by Universitas Diponegoro

ISSN : - EISSN : 23392541 DOI : -

Core Subject : Education,

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Jurnal Gaussian terbit 4 (empat) kali dalam setahun setiap kali periode wisuda. Jurnal ini memuat tulisan ilmiah tentang hasil-hasil penelitian, kajian ilmiah, analisis dan pemecahan permasalahan yang berkaitan dengan Statistika yang berasal dari skripsi mahasiswa S1 Departemen Statistika FSM UNDIP.

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Search results for , issue "Vol 2, No 4 (2013): Jurnal Gaussian" : 17 Documents clear

ANALISIS ANTRIAN PASIEN INSTALASI RAWAT JALAN RSUP Dr. KARIADI BAGIAN POLIKLINIK, LABORATORIUM, DAN APOTEK Rany Wahyuningtias; Dwi Ispriyanti; Sugito Sugito
Jurnal Gaussian Vol 2, No 4 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Queue process is a process of the coming of a customer to a service facility, then waiting in line (queue) when the officers busy, and leaving the place after getting the service. Patient’s line at RSUP DR. Kariadi is a lot enough then it will making the service from the hospital isn’t optimal as a result. Hence, it needed a queue model to optimize the service to patient. From the result of the analysis in RSUP Dr. Kariadi it gives the best queue models is in polyclinic area second floor, laboratory, and pharmacy.

KUALITAS PELAYANAN PADA BANK JAWA TENGAH (Studi Kasus : Bank Jateng Cabang Tembalang) Yosi Dhyas Monica; Abdul Hoyyi; Moch. Abdul Mukid
Jurnal Gaussian Vol 2, No 4 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Service attendance quality is superiority level which is be expected and control above its superiority level for satisfying consumen's desire. In this case, there are 5 service quality dimensions. Those are tangible, reliability, responsiveness, assurance, and emphaty. This research study was doing at Bank Jateng, where the respondents are the customer of Bank Jateng. Importance Performance Analysis consist of two components, there are quadrant analysis and discrepancy analysis (gap). Quadran analysis can find out the respond of cusumens against variable which has plotted based on interest and performance level from those variables. While gap analysis is being used for perceiving discrepancy between performance of a variable with the expectation from consumen against its variable. Customer Satisfaction Index (CSI) is used for discovering overall satisfaction level of customers. The T2 hotelling control chart is to know the qualiy controlof two or more related quality characteristics. Result of the research is showing that for quadran analysis, those variables which representing 5 service quality dimensions be located spread in different quadran. For gap analysis, the service perormance of a bank represented by 20 variables who representing 5 service quality dimensions, all of which is still under customers expectation. CSI value aa big as 72,22% which is mean customers satisfaction index is on the satisfaction criteria. On T Hotelling chart is said that the process is not restrained statistically yet because there are 4 points is on the top of control chart

PEMODELAN LAJU INFLASI DI PROVINSI JAWA TENGAH MENGGUNAKAN REGRESI DATA PANEL Dody Apriliawan; Tarno Tarno; Hasbi Yasin
Jurnal Gaussian Vol 2, No 4 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Panel regression is a regression which is a combination of cross section and time series. To estimate the panel regression there are 3 approaches, the common effect model (CEM), the fixed effect model (FEM) and the random effect model (REM). In the CEM, the parameters were estimated using the Ordinary Least Square (OLS). In the FEM, the parameters estimated by OLS through the addition of dummy variables. At REM, error is assumed random and estimated by the method of Generalized Least Square (GLS). This study aims to analyze the factors that influence inflation in the Central Java province using panel regression. Based on test result of panel regression, the appropriate model is the CEM. The parameters of model are estimated by using OLS the cross section weights. The model show that the Consumer Price Index (CPI), Minimum Salary of City/Regency (MSCR) and the economic growth significantly effect on percentage of inflation in Central Java Province.

APLIKASI MODEL REGRESI SPASIAL UNTUK PEMODELAN ANGKA PARTISIPASI MURNI JENJANG PENDIDIKAN SMA SEDERAJAT DI PROVINSI JAWA TENGAH Restu Dewi Kusumo Astuti; Hasbi Yasin; Sugito Sugito
Jurnal Gaussian Vol 2, No 4 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Net Enrollment Ratio (NER) is an instrument to measure education rate. But NER rate of Senior High School in Central Java Province is only 47,34 %. This study discuss about regression model of factors which influence NER of Senior High School for Central Java province considering spatial effects for each regency in Central Java province. The examination of spatial effects shows that there is spatial dependence in response variable so this study is developed by using Spatial Autoregressive Model (SAR). The methods for estimating the parameter are Ordinary Least Square and Maximum Likelihood Estimation. The result of this study shows that the average number of household members has significant spatial effect for NER rate of Senior High School in Central Java Province. From the comparison AIC value, it was found that SAR model is better to analyze NER rate of Senior High School in Central Java province than classic one.

PENGUKURAN VALUE AT RISK MENGGUNAKAN PROSEDUR VOLATILITY UPDATING HULL AND WHITE BERDASARKAN EXPONENTIALLY WEIGHTED MOVING AVERAGE (EWMA) (Studi Kasus pada Portofolio Dua Saham) Putri, Nurissalma Alivia; Hoyyi, Abdul; Safitri, Diah
Jurnal Gaussian Vol 2, No 4 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Investment is an effort to get profits for individual or institution. But the investment policy is always faced with market risk as the effect of financial instruments movement such as stock price movements. Market risk measurement tool commonly used is Value at Risk (VaR), which measures the amount of loss at a certain confidence level. VaR measurement by Hull and White volatility updating procedure is a modification of the historical simulation involving information of volatility change calculated by Exponentially Weighted Moving Average (EWMA). This procedure is fit to financial data such as stock returns that are generally not normally distributed and are heteroskedastic. VaR calculation applied to the portfolio between Kalbe Farma Tbk (KLBF) stock and Lippo Karawaci Tbk (LPKR) stock from 3 January 2011 to 19 April 2013 were selected based on the largest trading volume at the end of the observation for LQ45 stocks listed in the Indonesia Stock Exchange (IDX) . The data used is the return calculated from the closing price of stocks. The validity of VaR was tested through a back test by Kupiec test, and concluded that the 95% VaR and 99% VaR are valid.

ANALISIS PASIEN RAWAT INAP BERDASARKAN KELAS PERAWATAN DI RSUP Dr. KARIADI SEMARANG DENGAN METODE ANTRIAN Friska Irnas Adiyani; Sugito Sugito; Triastuti Wuryandari
Jurnal Gaussian Vol 2, No 4 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Health is the right of everyone. RSUP Dr. Kariadi as one of the health service facilities has an obligation to provide service optimally to overcome the necessities and complaints of the patients. Nevertheless, the high number of patients that are not in balance with the amount of service facilities be constraints in achieving this purpose, so the patient must be entered the waiting-list or having a queuing situation. This situation happens in queuing system of the hospitalization patients at the place for registration of hospitalization patients (TPPRI) and at the care room installation of hospitalization A and B RSUP Dr. Kariadi Semarang. Therefore, it is necessary to determine the queuing system models that is appropriately with the conditions and characteristics of the queuing at TPPRI and care room that classified based on care class. So it can help in determining the decision to achieve the effective and efficient service. From the analysis result, the best queuing model for TPPRI is and for the care room that is classified based on care class are for the main class, for the first class, for second class, dan the last for third class.

FAKTOR-FAKTOR YANG MEMPENGARUHI STATUS KELULUSAN BERDASARKAN JALUR MASUK MAHASISWA DENGAN MODEL REGRESI LOGISTIK BINER BIVARIAT (Studi Kasus Mahasiswa FSM Universitas Diponegoro) Safitri Daruyani; Yuciana Wilandari; Hasbi Yasin
Jurnal Gaussian Vol 2, No 4 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The acceptance of college students in public universities are divided into two ways, the National Selection of Public University Entrance by invitation and the National Selection of Public University Entrance by non invitation. The National Selection of Public University Entrance by invitation is a way to get candidate students from The Senior High Schools that have good achievement, where as the other one open wider access. Nevertheless, the college students who enter through the invitation or non invitation, they don’t necessarily have a better academic achievement or worse than each other. After through the learning process in college, the success of the students are marked with their academic achievement that shown by the index of academic achievement, that if they pass expressed by the status of graduation, cumlaude or not cumlaude. To find out the factors that affect the status of student graduation based on the entrance, the regretion model that can be used is bivariate biner logistic regretion, because it consist of two response variable, the status of graduation and the entrance of the college students. Maximum likelihood estimation is used to estimate the parameter model. To examine the significance of the parameter use Likelihood ratio test and Wald test. Major option and live adress are the significance variables that affect the status of graduation based on the entrance of the college student from predictor variable partially test of school report grades, national test grades, major option, live adress, study method, live cost, students’ relationship with friends and family,and study motivation. Whole test and individual test indicate that major option variable affect the status of graduation based on the entrance significantly.

ANALISIS VARIAN DUA FAKTOR DALAM RANCANGAN PENGAMATAN BERULANG ( REPEATED MEASURES ) Alif Hartati; Triastuti Wuryandari; Yuciana Wilandari
Jurnal Gaussian Vol 2, No 4 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The experimental design is a series of tests, both using descriptive statistics and inferential statistics that aims to transform the input variables into an output which is the response of the experiment. In one study, the response sometimes observed in every experiment performed more than once at different times during the study called with Repeated Measures. Observation time as if viewed as an additional factor, resulting in a repeated measures seen as a two-factor design with split-plot patterns. Factors that attempted allocated as main plots and allocated observation time as a subplot. Step-by-step analysis to test the normality of the error, test the homogeneity of variance, determine the degrees of freedom, sum of squares and mean squares of each factor. The next hypothesis to test for factor a, factor b and interaction affect both whether the observed response. If any effect, it is necessary to further test the Duncan test. The data used are secondary data on the effect of temperature, time of observation and interaction both the amylase enzyme produced by the bacterium bacillus subtilis. Results obtained by the analysis of temperature, time of observation and interaction both significantly influence the observed response.

APLIKASI MODEL REGRESI POISSON TERGENERALISASI PADA KASUS ANGKA KEMATIAN BAYI DI JAWA TENGAH TAHUN 2007 Nurwihda Safrida Umami; Dwi Ispriyanti; Tatik Widiharih
Jurnal Gaussian Vol 2, No 4 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Infant Mortality is one of the issues that can affect the number and age composition of the population. The Government pays special attention to reduce the amount of Infant Mortality Rate in Central Java, so the role of data and information becomes very important. Poisson regression is a nonlinear regression which is often used to model the relationship between the response variable in the form of discrete data with predictor variables in the form of continuous or discrete data. Poisson regression models have equidispersi assumption, a condition in which the mean and variance of the response variable have equal value. In practice, the assumption is sometimes violated in the analysis of discrete data in the form of overdispersi (value of variance greater than the mean value) so that Poisson regression model is not appropriate to be used. Overdispersi is a condition in which the data of response variable shows. One model that can be used to solve the overdispersi problem is generalized Poisson regression model. The regression model is an extension of the Poisson regression and part of the Generalized Linear Model (GLM) which does not require constancy of variance to test the hypothesis. From the data of Infant Mortality Rate in Central Java on 2007 known that there overdispersi. And the factors affecting Infant Mortality Rate is the number of health facilities, the number of medical personnel, and the percentage of households with clean water each county / city.

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI GIZI BURUK BALITA DI JAWA TENGAH DENGAN METODE SPATIAL DURBIN MODEL Ikha Rizky Ramadani; Rita Rahmawati; Abdul Hoyyi
Jurnal Gaussian Vol 2, No 4 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Severe malnutrition is a state of nutritional deficiencies at a severe level, where the nutritional status is far below the standard. Anyone can suffer from severe malnutrition, especially infants and children who are in the growth period. Central Java Province is one of many provinces in Indonesia where the cases of severe malnourished children under five years are high enough. It is noted that Central Java Province is one of 10 provinces in Indonesia with the highest rate of severe malnutrition cases for 6 years (2005-2010). Using data from year 2011, the result of the Moran’s I test states that there are spatial dependencies on severe malnutrition’s rate of children under five years and some of its influential factors on Central Java Province. Therefore, Spatial Durbin Model (SDM) method is used in this experiment. Variables which significantly affect severe malnutrition on Central Java Province through SDM method are : the numbers of infants with low birth weight ( ), the numbers of houses with good health status ( ), and the numbers of households with access to source of clean water ( ). SDM model obtains value of as much as 70.3% with AIC and MSE respectively 476.32 and 35280.11, results better than Ordinary Least Square (OLS) which produce as much as 41.5% with AIC 490.52 and MSE 60653.693

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Department of Statistic, Faculty of Science and Mathematics , Universitas Diponegoro Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro Gedung F lt.3 Tembalang Semarang 50275

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Jawa tengah

INDONESIA