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INDONESIA
Media Statistika
Published by Universitas Diponegoro
ISSN : -     EISSN : 24770647     DOI : -
Core Subject : Science,
Decision Sciences, Operations Research & Management
Arjuna Subject : -
Articles 6 Documents
 1 
Search results for , issue "Vol 5, No 2 (2012): Media Statistika" : 6 Documents clear
INFERENSI STATISTIK DARI DISTRIBUSI NORMAL DENGAN METODE BAYES UNTUK NON-INFORMATIF PRIOR Prahutama, Alan; Sugito, Sugito; Rusgiyono, Agus
MEDIA STATISTIKA Vol 5, No 2 (2012): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (439.544 KB) | DOI: 10.14710/medstat.5.2.95-104

Abstract

One of the method that can be used in statistical inference is Bayesian method. It combine sample distribution and prior distribution to get a posterior distribution. In this paper, sample distribution used is univariate normal distribution. Prior distribution used is non-informative prior. Determination technique of non-informative prior use Jefrrey’s method  from univariate normal distribution. After got the posterior distribution, find the  marginal distribution of mean and variance. So that will get the parameter estimation of interval for mean and variance. Hypothesis testing for mean and variance can find from parameter estimation of formed interval.   Keywords: Bayesian method, non-informatif prior, Jeffrey’s method, Parameter Estimation of Interval, Hypothesis test
IDENTIFIKASI POLA DISTRIBUSI CURAH HUJAN MAKSIMUM DAN PENDUGAAN PARAMETERNYA MENGGUNAKAN METODE BAYESIAN MARKOV CHAIN MONTE CARLO Mukid, Moch. Abdul; Wilandari, Yuciana
MEDIA STATISTIKA Vol 5, No 2 (2012): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (764.458 KB) | DOI: 10.14710/medstat.5.2.63-74

Abstract

especially for the management of regional water resources. In this study, we not only identify the distribution of maximum rainfall,  but also estimate the parameter of its distribution. The research was conducted in the  Grobogan District. Maximum rainfall in the district of Grobogan from 2006 to July 2012 was very varied, but over the years have a pattern unlikely to change. Highest maximum rainfall ranged in December, January, February and March while the lowest rainfall maskimum normally be in June, July and August. By using the Kolmogorov-Smirnov test on the significance level of 5% is known that the maximum rainfall from 2006 to 2012 in the District Grobogan follow a normal distribution with a value of  D statistics is 0.089. This statistic produces a significance value ​​of 0.518. By using the Bayesian Markov Chain Monte Carlo obtained the value for the parameter mean of normal distribution is 46.269 mm with a standard error reach into 4.005 mm.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (381.185 KB) | DOI: 10.14710/medstat.5.2.105-118

Abstract

Problem faced by Atmaja Jaya Industry, Klaten is how to produce high quality products with          a minimal amount of defective products. Therefore, this study will look at factor that affect the quality of roll 6” 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 6”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 6”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 6” TL, Product defect
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI INDEK MUTU BENANG MENGGUNAKAN METODE POHON REGRESI (Studi Kasus di PT. Industri Sandang Nusantara Unit Patal Grati) Dewi, Hesti Sari; Wilandari, Yuciana; Sudarno, Sudarno
MEDIA STATISTIKA Vol 5, No 2 (2012): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (262.685 KB) | DOI: 10.14710/medstat.5.2.75-86

Abstract

Quality for ripe material (yarn) really necessary for the company, therefore needs to control the product (ripe material), so we are able to know the unmatched product percentage of the company standard and to know the cause of the unmatched. The appropriate method to know the influential factor to company yarn quality successes, among those regression tree method. Regression tree is one of CART’s classification method. CART is a useful non parametric statistical method to get an accurate data group as distinguishing as of a classification. Because it has continuous type of response variable, so that CART can create regression tree. Regression tree is utilized to figure relationship among one response variable with one or more predictor variable that gets continued character and also category. The variables that have influence for yarn quality index at PT. Industri Sandang Nusantara Patal Grati’s Unit are raw material, machine output year, air humidity (RH) and hall temperature. The result of the research is that the year of machine output variable is the most influence to foot up yarn quality index and has main contribution in the formation of regression tree.   Keywords : Regression tree, CART, Yarn quality index, Rayon.
ANALISIS PENGARUH KARAKTERISTIK WILAYAH (KELURAHAN) TERHADAP BANYAKNYA KASUS DEMAM BERDARAH DENGUE (DBD) DI KOTA SEMARANG Rahmawati, Rita; Kartono, Kartono; Sulistyo, Robertus Heri; Noranita, Betha; Sarwoko, Eko Adi; Wardaya, Asep Yoyo
MEDIA STATISTIKA Vol 5, No 2 (2012): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (251.452 KB) | DOI: 10.14710/medstat.5.2.87-93

Abstract

DBD still become one of the major problems of public health in Indonesia because the death rate tended sufferers to increase from year to year. Incredible happening (KLB) of DBD which was initially occurring every five years, now it’s getting often happens. In the city of Semarang, during 2009 occurring 165 times KLB in urban village, 35 times KLB in the level of community health centers and 15 times KLB at the district level. Though the number of DBD cases in 2009 from 2008 was declining, but in this year also noted that the number of deaths resulting from DBD increased to 43 people from 18 people in 2008. This research aims to analyze the characteristics of the neighborhood (whose data is always updated by BPS via PODES) that affect the number of cases of DBD (whose data is always updated by DKK) in Semarang city, by creating the best regression models using stepwise technique. Regression model analysis of results obtained best is Y = 23.029 + 0.004 X1 – 0.074 X2 + 0.070X3, where Y is IR/10000 PDDK, that is the number of residents affected by DBD for each 10000 inhabitants, X1 is the number of residents aged 15-24 years, X2 is total area of land of rice fields and X3 is area of land for buildings and grounds around the page. Keywords: DBD, Characteristics of the Neighborhood, Regression, Stepwise
PENENTUAN MODEL ANTRIAN BUS ANTAR KOTA DI TERMINAL MANGKANG Ispriyanti, Dwi; Sugito, Sugito
MEDIA STATISTIKA Vol 5, No 2 (2012): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (282.19 KB) | DOI: 10.14710/medstat.5.2.119-127

Abstract

In daily activities, we often face in a situation of queueing. The Queue is dull. Most people have experienced in a queue situation or a waiting situation. It  is  a part of the state that occurs in a series of operations that are random in a service facility. The Queue can be found easily in a human life, for example bus queue in Terminal Mangkang. It means that a bus wait to be dispatched and from the bus that will go to the service station. Therefore make an arrival and departure of buses not on schedule which resulted in the accumulation of customers in the terminal. To analyze the extent of the effectiveness of terminal Mangkang particularly inter-city terminal Queue theory it is used in the service system in the terminal.   Keywords: Queue, Terminal Mangkang  

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