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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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PENERAPAN REGRESI DATA PANEL PADA ANALISIS PENGARUH INFRASTRUKTUR TERHADAP PRODUKTIFITAS EKONOMI PROVINSI-PROVINSI DI LUAR PULAU JAWA TAHUN 2010-2014 Yosephine Magdalena Sitorus; Lia Yuliana
MEDIA STATISTIKA Vol 11, No 1 (2018): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

There is inequality between the economic growth of provinces in Java and outside of Java. The total area of Java is only 6,77% from total area of Indonesia but the Growth Domestic Product (GDP) based on constant price in 2014, Java contributed 57,8% of the GDP total Indonesia. One cause that made this disparity is the development of infrastructure in outside Java is still weak. The development of infrastructure is a basic element for increasing total output production that later will increase the economic growth. However, there are so many problems that occur in developing the infrastructure in outside of Java. This study aimed to analyze the condition of infrastructure provinces outside Java in 2010-2014. The data used is the secondary data for 27 provinces outside of Java 2010-2014 from BPS. The analytical method used is panel data regression with fixed effect model and Seemingly Unrelated Regression (SUR) Model. Based on the results, the infrastructure that affects economic productivity significantly and positively is road infrastructure, health, and budget. Infrastructure that affects economic productivity significantly and negatively is the educational infrastructure. Water and electricity infrastructure did not significantly affect economic productivity.Keywords: Infrastructure, Economic productivity, Panel Data Regression, Fixed Effect Model

PENERAPAN REGRESI LOGISTIK MULTINOMIAL PADA PEMILIHAN ALAT KONTRASEPSI WANITA (Studi Kasus di Desa Tonggara Kecamatan Kedungbanteng Kabupaten Tegal) Sulistio, Erna; Ispriyanti, Dwi
MEDIA STATISTIKA Vol 3, No 1 (2010): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The development of a growing population, causing many problems within national development, so the program necessary to reduce the population of family planning program, one of the programs is Contraceptive Services. A variety of contraceptive choices provided by the government especially for women, including: pill, injection, IUD, implant, tissue KB, tubectomy, cream, jelly, and foam. The selection of contraceptives for women have to weigh various factors. So we want to know the factors which influence women in choosing a particular contraceptive. By testing the significance of the multinomial logistic regression model through the G test statistic can be shown there are four factors that influence contraceptive use, namely maternal age, number of living children, age of last child, and pregnancy plans. Keywords: Contraception, Multinomial Logistic Regression

ANALISIS VARIABEL KANONIK BIPLOT UNTUK BANK UMUM DI JAWA TENGAH Yasin, Hasbi; Rusgiyono, Agus
MEDIA STATISTIKA Vol 6, No 2 (2013): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Bank Competition in Indonesia increase due to good economic growth and the improvement of the social middle class in Indonesia. Increased bank raises the fierce competition between banks and internal banks themselves. This makes the management of the bank should work seriously to maintain its existence. In this case the assessment of the bank become very important in the banking business to survive in today's banking industry. This study was conducted to determine the competitive commercial banks operating in Central Java with the Canonical Variate Analysis (CVA) Biplot. This analysis can be applied to find out information about the relative position, the similarity between the object characteristics and diversity of variables in the three groups of commercial banks in Central Java, namely state-owned banks, private banks and private banks Non Foreign Exchange, based on the health aspects of the bank. The results obtained are the banks in each group had different characteristics shown in the relative position of the already well-separated in the resulting biplot. Variables that tend to influence the grouping of commercial banks are Capital Adequacy Ratio (CAR). The total assets is variable with the highest level of prediction accuracy on each bank. Â Keywords: Health Aspects of the Bank, Commercial Banks, Canonical Variate Analysis (CVA) Biplot.

RANCANGAN D-OPTIMAL MODEL MICHAELIS MENTEN DAN EMAX DENGAN MATLAB Tatik Widiharih; Sri Haryatmi; Gunardi Gunardi; Yuciana Wilandari
MEDIA STATISTIKA Vol 8, No 2 (2015): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Michaelis Menten and Emax models are widely used in chemistry, pharmacokinetics and pharmacodynamics areas. D-optimal criteria is criteria with the purpuse to minimize the variance of the estimator of parameters in the model. In this paper will discuss the D-optimal design for Michaelis Menten and Emax models with homoscedastics error assumtion. Determination of D-optimal designs based on Generalied Equivalence Theorem Kiefer-Wolvowitz. We used minimally supported design with the proportion of each design point is uniform, lower bound of design region is design point and the others are interior points.Keywords: D-optimal, Michaelis Menten, Emax, Minimally Supported Design, Homoscedastics

DISTRIBUSI INVERS GAMMA PADA INFERENSI BAYESIAN Sugito, Sugito; Ispriyanti, Dwi
MEDIA STATISTIKA Vol 3, No 2 (2010): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

One of the methods which can be used in statistical inferencesÂ is Bayesian inference. It is combine sample distribution and prior distribution, that can be resulted posterior distribution. In this article, sample distribution use univariate normal distribution. If prior distribution for variance with known mean is gamma inverse distribution, then posterior distribution is formed gamma inverse distribution. If Prior distribution use non-informative prior, then have the posterior distribution, by theÂ marginal distribution of mean and varian. Also posterior distribution formed by gamma inverse distribution. Â Keywords: Gamma Inverse Distribution, Posterior Distribution, Non-Informatif Prior

PERAMALAN DATA PENUMPANG KERETA API DENGAN MENGGUNAKAN MAXIMAL OVERLAP DISCRETE WAVELET TRANSFORM- RECURRENT NEURAL NETWORK (MODWT-RNN) Mira Andriyani; Subanar Subanar
MEDIA STATISTIKA Vol 12, No 2 (2019): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The train is one of the public transportation that is very popular because it is affordable and free of congestion. There is often a buildup of passengers at the station so that it sometimes causes a accumulation of passengers at the station and makes the situation at the station to be not conducive. In order to avoid a buildup of passengers, forecasting the number of passengers can be done. Forecasting is determined based on data in previous times. Data of train passengers in Java (excluding Jabodetabek) forms a non-stationary and contains nonlinear relationships between the lags. One of the nonlinear models that can be used is Recurrent Neural Network (RNN). Before RNN modeling, Maximal Overlap Wavelet Transform (MODWT) was used to make data more stationary. Forecasting model of train passengers in Java excluding Jabodetabek, Indonesia using MODWT-RNN results forecasting with RMSE is 252.85, while RMSE of SARIMA and RNN are 434.97 and 320.48. These results indicate that the MODWT-RNN model gives a more accurate result thanS ARIMA and RNN.

APLIKASI DOE UNTUK MENENTUKAN SETTING PARAMETER OPTIMUM PADA PROSES PEMBUATAN PRODUK ROLL Anggoro, Paulus Wisnu
MEDIA STATISTIKA Vol 5, No 2 (2012): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Problem faced by Atmaja Jaya Industry, Klaten is how to produce high quality products with Â Â Â Â Â Â Â Â Â a minimal amount of defective products. Therefore, this study will look at factor that affect the quality of roll 6â€ TL in order to obtain the best level setting in the production process. This study uses experimental design with the Taguchi method. Factors to be tested in this study is long making liquid metal (factor A), the old foundry (factor B), and total time of casting (factor C). Each factor has three levels so that the use of orthogonal array L934. From the result of pooling up mean, the best level combination of factors that affect the quality of roll 6â€TL is the length of manufacture of liquid metal which set at 100 minutes, the old foundry is set at 5 seconds and the total time of casting that set in 14 minutes. While the result of pooling up SN ratio for the best level combination of factors that affect the quality of production process variants roll 6â€TL which the length of the manufacture of liquid is set at 100 minutes and total time of casting that are set in 14 minutes. Keywords: Taguchi Method, Orthogonal Array, Roll 6â€ TL, Product defect

PEMODELAN INFLASI BERDASARKAN HARGA-HARGA PANGAN MENGGUNAKAN SPLINE MULTIVARIABEL Prahutama, Alan; Utama, Tiani Wahyu; Caraka, Rezzy Eko; Zumrohtuliyosi, Dede
MEDIA STATISTIKA Vol 7, No 2 (2014): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Inflation is defined as a sustained increase in the general level of price for goods and services. Some of the events that led to inflation in Indonesia is rising fuel prices, rising prices of meat and chili. Inflation has negative impact, because decreased purchasing power. Â So that the inflation model is needed. Modeling inflation can be use regression models. The approach can be performed with nonparametric regression, one of method of nonparametric regression is spline method. In this case, use three predictors to modeling inflation using spline multivariable. The predictors are price of rice, price of chicken, and price of chili. Obtained multivariable spline models with R-square of 93.94% with optimal m = 2 (quadratic) for 1 knots.Â Keywords: Spline Multivariable, GCV, Inflation

MODEL ANTREAN NORMAL DAN TRIANGULAR (Studi Kasus : Gerbang Tol Tembalang Semarang) Sugito Sugito
MEDIA STATISTIKA Vol 10, No 2 (2017): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The growing number of vehicle in each year resulting an inevitable congestion, one of them is jamming vehicle transaction in Tembalang toll gate. This condition can cause dissatisfaction to the toll road users in obtaining services. It is need to be specified the appropriate queue system model to the conditions of service in Tembalang toll gate. So it can be determined the number of booth service is working optimally. Based on the data analysis obtained from the Arena software, the queue system model that can describe the conditions of service at Tembalang toll gates with data total- time, time-total, and time-time the direction of Srondol-Jatingaleh at the regular toll booth is (Norm/G/2):(GD/∞/∞), (G/Norm/2): (GD/∞/∞), (G/G/2): (GD/∞/∞) and at the automatic toll booth is (G/Tria/3): (GD/∞/∞), (Tria/G/3): (GD/∞/∞), (G/G/3): (GD/∞/∞) while with the direction of Jatingaleh-Srondol at the regular toll booth is (Norm/G/3): (GD/∞/∞), (G/Norm/3): (GD/∞/∞), (G/G/3): (GD/∞/∞) and (G/Tria/2): (GD/∞/∞), (Tria/G/2): (GD/∞/∞), (G/G/2): (GD/∞/∞) at automatic toll booth.

KARAKTERISTIK UMUR PRODUK PADA MODEL WEIBULL Sudarno, Sudarno
MEDIA STATISTIKA Vol 2, No 2 (2009): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Long life of product can reflect its quality. Generally, good products have long life. There are functions that relationship with life as reliability function, hazard rate function, mean time to failure, and mean residual life. In this writing those functions be used to product which has the failure time of a component is distributed Weibull. The reliability function is exponential function. For value Î¸ is constant, the reliability value is decrease function, if Î³ is greather with respect to time. Meanwhile hazard rate function could be monotone increase function, constant function, monotone decrease function, if doing by simulation with shape parameter by one. Really, the mean time to failure product hang on Weibull distribution parameters. But the mean residual life is reciprocal with respect to its reliability. Â Keywords:Â Â Â Â Â Weibull Model, Reliability and Hazard Rate Functions, Mean Time to Failure, Mean Residual Life.

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