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Media Statistika

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ISSN : - EISSN : 24770647 DOI : -

Core Subject : Science,

Decision Sciences, Operations Research & Management

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Articles 271 Documents

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METODE DIAGONALLY WEIGHTED LEAST SQUARE (DWLS) PADA STRUCTURAL EQUATION MODELLING UNTUK DATA ORDINAL: STUDI KASUS DARI PENGGUNA JASA KERETA API MAJAPAHIT MALANG – PASAR SENEN Isnayanti Isnayanti; Abdurakhman Abdurakhman
MEDIA STATISTIKA Vol 12, No 1 (2019): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Structural Equation Modelling (SEM) is used to examine the relationship between complex variables to obtain a comprehensive picture of the overall model. The basic assumptions in SEM are continuous data types and multivariate normality distributed. But in some studies on social sciences, educational sciences, and medical sciences, the data used usually comes from ordinal variables in the form of a Likert scale which causes data to be not multivariate normal distribution. Diagonally Weighted Least Square (DWLS) is one method that can be used to overcome this problem. In this paper, ordinal data analysis will be conducted on SEM using polychoric correlation data with the DWLS method to compare the results of the suitability of the model with the Maximum Likelihood (ML) method. The discussion is complemented by a case study of the effect of service quality on customer satisfaction and loyalty of Majapahit Railway service in Malang-Pasar Senen.The results showed that the proposed model fit after modification model based on the criteria of 'goodness of fit' with chi-square value T=15.24, P-value=0.5785, RMSEA=0.000, GFI=0.99, AGFI=0.97, NNFI =1.03, CFI=1.00, PNFI=0.53.

ANALISIS CLUSTER PADA KABUPATEN/KOTA DI JAWA TENGAH BERDASARKAN PRODUKSI PALAWIJA Safitri, Diah; Widiharih, Tatik; Wilandari, Yuciana; Saputra, Arsyil Hendra
MEDIA STATISTIKA Vol 5, No 1 (2012): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Production of palawija, namely maize, cassava, sweet potato, peanut, soybean, and green bean is an important food crop in Central Java. In this article, districts/cities in Central Java are grouped into three groups based on the production of palawija so as to know which group have high potential the production of maize, cassava, sweet potato, peanut, soybean or green bean by using k-means cluster analysis. Cluster 1 consists of District Cilacap, Wonosobo, Magelang, Karanganyar, Semarang, Temanggung, Kendal, and Batang that have a high potential in maize production. Cluster 2 consists of District Banyumas, Purbalingga, Banjarnegara, Kebumen, Purworejo, Boyolali, Klaten, Sukoharjo, Sragen, Blora, Rembang, Pati, Kudus, Jepara, Demak, Pekalongan, Pemalang, Tegal, Brebes, Magelang City, Surakarta City, Salatiga City, Semarang City, Pekalongan City, and Tegal CityÂ that have a high potential in peanut production. Cluster 3 consist of District Wonogiri and Grobogan that have a high potential in soybean production, green bean production, cassava production, and sweet potato production

Rancangan D-Optimal Model Gompertz dengan Maple Widiharih, Tatik; Warsito, Budi
MEDIA STATISTIKA Vol 10, No 1 (2017): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Gompertz model is used in many areas including biological growth studies, animal and husbandry, chemistry, and agricultural. Locally D-optimal designs for Gompertz models with three parameters is investigated. We used the Generalized Equivalence Theorem of Kiefer and Wolvowitz to determine D-optimality criteria. Tchebysheff system is used to decide that the D-optimal design is minimally supported design or nonminimally supported design. The result, D-optimal design for Gompertz model is minimally supported design with uniform weight on its support.Keywords:D-optimal, Generalized Equivalence Theorem, Tchebysheff System,Â Minimally Supported, Uniform Weight.

ANALISIS KORELASI KANONIK PADA PERILAKU KESEHATAN DAN KARAKTERISTIK SOSIAL EKONOMI DI KOTA PATI JAWA TENGAH Safitri, Diah; Indrasari, Paramita
MEDIA STATISTIKA Vol 2, No 1 (2009): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

One of the general problem that is social and economics which not yet flatten and still meeting of low health case. To know the correlation between social and economics characteristic and behavior of health in Pati of Central Java is used the canonical correlation analysis. The variable that is taken areÂ social and economics characteristic and behavior of health variable, which eachÂ consisting of nine indicator variable. Some assumptions like linearity, normal multivariable and do not multicolinearity should be fulfilled. After the assumption have fulfilled, data processing can be done so that obtained a conclusion. The result of canonical correlation analysis indicate that there is a signifikan correlation between social and economics characteristic variable and behavior of health variable. From nine indicator which forming variable of social and economics characteristic, earnings indicator variable, education of mother, expenditure and education of father giving the most dominant of contribution. While from nine behavior of health variable, indicator of balanced nutrient variable, physical activity, eradication of mosquito den, house floor, exclusive ASI, and brush teeth giving the most dominant of contribution. Â KeywordsÂ Â : Â Â Â Social and Economics Characteristic, Behavioral of Health, Canonical Correlation Analysis

ANALYSIS OF THE NUMBER INFANT AND MATERNAL MORTALITY IN CENTRAL JAVA INDONESIA USING SPATIAL-POISSON REGRESSION Alan Prahutama; Budi Warsito; Moch. Abdul Mukid
MEDIA STATISTIKA Vol 11, No 2 (2018): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Maternal and infant mortality are one of the most dangerous problems of the community since it can profoundly affect the number and composition of the population. Currently, the government has been taking heed on the attempt of reducing the number of maternal and newborn mortality in Central Java which requires data and information entirely. Poisson regression is a nonlinear regression that is often used to model the relationship between response variables in the form of discrete data with predictor variables in the form of discrete or continuous data. In space analysis, GWPR is one of method in space modeling which can model regional-based regression. It is based on some factors including the number of health facilities, the number of medical personnel, the percentage of deliveries performed with non-medical assistance; the average age of a woman's first marriage; the average education level of married women; average amount of per capita household expenditure; percentage of village status; the average rate of exclusive breastfeeding; percentage of households that have clean water and the percentage of poor people. Based on the analysis, it is revealed that the determinants of maternal and infant mortality in Central Java using Poisson and GWPR models, among others are the number of health facilities, the number of medical personnel, the average number of per capita household expenditure and the percentage of the poor. In the maternal and infant mortality model, the AIC value of GWPR model produces better modeling than Poisson regression. Keywords: Maternal and Infant mortality, Poisson, GWPR

MODEL PERTUMBUHAN DUA SAMPEL Sudarno, Sudarno
MEDIA STATISTIKA Vol 1, No 1 (2008): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Growth curve model is generalization of the multivariate regression models. This paper determine growth curve model at two samples of ras. They are observed body weight after given by substances. The problems will be done are testing for an outlier, testing for multivariate normality, testing for hogeneous, test of the adequacy of the model, and estimate of the parameters model. In doing computation and visualization of statistics at needed formulas, use up date some softwares, such as SAS, Minitab, MATLAB, etc. If the estimated model is known, it can be used to some objectives. The estimate model could be applied to predicted tool for next time, give characteristic and properties of the model. The growth of rat which be given thyroxin substance, at beginning time cause significant increasing of the body weight, but after at sixth weeks, given substance imply significant decreasing of their body weight, too. Meanwhile for the rat be given thyouracil, at beginning time to tenth weeks, their body weight affect slowly increasing by continue. Therefore thyroxin substance should be given before seventh weeks, but for thyouracil substance could be given continuosly if cause increasing the body weight. This result could be used to optimalization of rat growth. Â Key words: Multivariate normal test, Adequacy of model test, Growth curve model.

ANALISIS MODEL PASIEN RAWAT JALAN RUMAH SAKIT KARIADI DENGAN PENDEKATAN POISSON-EKSPONENSIAL Dwi Ispriyanti; Sugito Sugito; Agus Rusgiyono
MEDIA STATISTIKA Vol 7, No 1 (2014): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

In daily activities, we often face in a situation of queuing. Most people have experiences in a queuing situation or a waiting situation . The queuing can be found easily in a human life. For example is the queuing in the Kariadi Hospital. The Queuing occur from the registration to the service stage. Similarly, in ambulatory patients of Kariadi Hospital, so it is necessary to analyze the queuing effectivity, whether the queueing system is optimal or not. One of the statistical methods to analyze the things mentioned above are queuing theory. This research is used to analyze the queuing service system at the Kariadi hospital Keywords: Kariadi Hospital, The Queuing

PENGELOMPOKAN KABUPATEN/KOTA BERDASARKAN KOMODITAS PERTANIAN MENGGUNAKAN METODE K MEDOIDS Wuryandari, Triastuti; Rusgiyono, Agus; Setyowati, Etik
MEDIA STATISTIKA Vol 9, No 1 (2016): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The land in Central Java have a lot of nutrients, so considered suitable for agriculture. North Central Java and some areas in Central Java suitable agriculture for food crops of rice and other crops such as corn, soybeans, peanuts, sweet potatoes and cassava. With the diversity of agricultural production of food crops in Central Java it is necessary to facilitate the grouping of government in determining the specific policy in agriculture in order to achieve national food security. These grouping using cluster analysis with non hierarchical partitioning methode k medoids. The cluster using a point value from the agricultural commodity crops, thereby reducing the sensitivity of the data outliers.Â Keywords: Central Java, Agricultural Commodities, Cluster Analysis, Non-Hierarchical, Â Â Â Â k Medoids, Outlier

FUZZY PARAMETRIC SAMPLE SELECTION MODELS OF MARRIED WOMEN FOR NON-PARTICIPATION BY MLE : CASE STUDY THE MPFS-1994 Safiih, L. Muhamad; Triana, Yaya Sudarya
MEDIA STATISTIKA Vol 4, No 2 (2011): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Models with sample-selection biases are widely used in various fields of economics such as labour economics (see Maddala, Amemiya, and Mroz). The models are usually estimated by Heckman's two-step estimator. However, Heckman's two-step estimator often performs poorly (see Wales and Woodland, Nelson, Paarsch, and Nawata). The data used in this study originated from the survey was conducted by the National Population and Family Development Board of Malaysia under the Ministry of Women, Family and Community Development of Malaysia, called the Malaysian Population and Family Survey 1994 (MPFS, 1994).Â The survey was conducted through a questionnaire, were randomly and specifically for married women. The data set focus on married women which provides information on wages, educational attainment, household composition and other socioeconomic characteristic. The Original sample data based on Mroz (1987), there are 4444 records married women. It is necessary to use the maximum likelihood method to estimate the models in such cases. For solving uncertainty data ofÂ a parametric sample selection model, in this paper needs to consider the models estimation using fuzzy modeling approach, called Fuzzy Parametric Sample Selection Model (FPSSM). Fuzzy Parametric sample selection model (FPSSM) is builds as a hybrid to theÂ conventional parametric sample selection model. Finally, the result showed, FPSSM by Maximum Likelihood Estimator (MLE) estimates of the mean, Standard Deviation (SD). Â Keywords: Â Â Econometrics, Fuzzy Number, Heckman Two-Step Estimator,Â Married Women,Â MLE, Non-participation, Sample Selection Model.

PEMODELAN HYBRID ARIMA-ANFIS UNTUK DATA PRODUKSI TANAMAN HORTIKULTURA DI JAWA TENGAH Tarno Tarno; Agus Rusgiyono; Budi Warsito; Sudarno Sudarno; Dwi Ispriyanti
MEDIA STATISTIKA Vol 11, No 1 (2018): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The research purpose is modeling adaptive neuro fuzzy inference system (ANFIS) combined with autoregressive integrated moving average (ARIMA) for time series data. The main topic is application of Lagrange Multiplier (LM) test for input selection, determining the number of membership function and generating rules in ANFIS. Based on partial autocorrelation (PACF) plot, the lag inputs which are thought have an effect to data are evaluated by using LM-test. Procedure of LM test is applied to determine the optimal number of membership functions. Based on the result, a number of rule-bases are generated. The best model is applied for forecasting potato production data in Central Java. The case study of this research is modeling monthly data of potato production from January 2004 up to December 2016. From empirical study, ANFIS optimal was obtained with lag-1 and lag-11 as inputs with two membership functions and two fuzzy rules. The hybrid method based on ARIMA and ANFIS is also implemented. The result of the prediction with a hybrid method is compared to the ANFIS and ARIMA. Based on the value of Mean Absolute Percentage Error (MAPE), hybrid model ARIMA-ANFIS has a good performance as a model of ANFIS and ARIMA individually.Keywords: Time Series, Potato production, hybrid, ANFIS, ARIMA, LM-test

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