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Media Statistika

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Published by Universitas Diponegoro

ISSN : - EISSN : 24770647 DOI : -

Core Subject : Science,

Decision Sciences, Operations Research & Management

Arjuna Subject : -

Articles 6 Documents

Search results for , issue "Vol 9, No 1 (2016): Media Statistika" : 6 Documents clear

ANALISIS KECELAKAAN LALU LINTAS DI KOTA SEMARANG MENGGUNAKAN MODEL LOG LINIER Wilandari, Yuciana; Sugito, Sugito; Silvia, Candra
MEDIA STATISTIKA Vol 9, No 1 (2016): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Traffic accident is an event in the unanticipated and unintended involve vehicles with or without other road users, resulting in losses and/or loss of property. According Polrestabes Semarang number of traffic accidents decreased in 2014 compared to 2013, but the figure is still considered high. Therefore we need an analysis of traffic accident cases, in this case using a log linear models. Log linear models used to analyze the relationship between the response variables that are categories that make up the contingency table and determine which variables are likely to cause depedensi. In this study, the variable used is the severity of the victim, the type of accident, the role of the victim, the victim vehicle type, time of the accident and the age of the victim. The results indicate that the variables that affect the model is the severity of the victim, the type of accident, the role of the victim, the type of vehicle the victim, time of the accident, the age of the victim, the role of the victim * type of vehicle the victim, the type of accident * the role of the victim, the type of vehicle the victim * age of the victim, the type of accident * type of vehicle the victim, the severity of the victim * type of accident, type of accident * age of the victim. So that raises the most variable attachment is a type of accident.Â Keywords : Traffic Accident, Log Linear Model

TIME SERIES ANALYSIS USING COPULA GAUSS AND AR(1)-N.GARCH(1,1) Caraka, Rezzy Eko; Yasin, Hasbi; Sugiarto, Wawan; Ismail, Kadi Mey
MEDIA STATISTIKA Vol 9, No 1 (2016): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

In this case, the Gaussian Copula is used to connect the data that correlates with the time and with other data sets. Most often, practitioners rely only on the linear correlation to describe the degree of dependence between two or more variables; an approach that can lead to quite misleading conclusions as this measure is only capable of capturing linear relationships. Correlation doesnâ€™t mean causation, prediction using Copula is built on three things that the marginal distribution function, the kernel function, and the function of the Copula. Gaussian Copula involves the covariance matrix are approximated by using kernel functions. Kernel acts as the correlation between the approach of the data values that have the same characteristics. In this case, the characteristics used is the time. The advantage of the kernel function is able to calculate the correlation between random variables that have a realization using data characteristics. The advantage of using the kernel based Copula able to capture the dependencies between data and process data that have the same characteristics with time. Another benefit is that it allows a sequence of random variables have a joint distribution function so that the conditional probability of the prediction can be calculated.Â Keywords: Binding, Copula, GARCH, Gauss, Time Series

PEMODELAN GRAFIK PENGENDALI TOTAL DAN RATAAN DISKRIT UNTUK GENERALISASI DISTRIBUSI GEOMETRIK Sudarno, Sudarno; Mukid, Moch. Abdul
MEDIA STATISTIKA Vol 9, No 1 (2016): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Total events which do by counting will be obtained discret data type. The discret data type and geometric distribution could be drawn by total number of events chart (G chart) and average number of event chart (H chart). In this research result upper control limit, center line, and lower control limit, both G chart and H chart. Data processing of the case, resulting G chart that upper control limit is 80.77 and center line is 39.8, meanwhile by H chart obtained that upper control limit and center line, respectively, 11.54 and 5.8. The results of G chart and H chart could be used for prediction events at the future to anticipate the real problems. Therefore, the systems have no problem and their activities will be dynamic, stable and best perform.Â Keywords:Geometric Distribution, Total Number of Event Chart, Average Number of Event Chart

ANALISIS KLASIFIKASI MASA STUDI MAHASISWA PRODI STATISTIKA UNDIP dengan METODE SUPPORT VECTOR MACHINE (SVM) dan ID3 (ITERATIVE DICHOTOMISER 3) Ispriyanti, Dwi; Hoyyi, Abdul
MEDIA STATISTIKA Vol 9, No 1 (2016): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Graduation is the final stage of learning process activities in college. Undergraduate study period in UNDIPâ€™s academic regulations is scheduled in 8 semesters (4 years) or less and maximum of 14 semesters (7 years). Department of Statistics is one of six departments in the Faculty of Science and Mathematics UNDIP. StudyÂ period in this department can be influenced by many factors. Those factor are Grade Point Average (GPA) or IPK, gender, scholarship, parttime, organizations, and university entrance pathways. The aim of this paper is to determine the accuracy factors classification. We use SVM (Support Vector Machine method) and ID3 (Iterative Dichotomiser 3). The comparison of SVM and ID3 method, both for training and testing the data generate good accuracy, namely 90%. Especially ID3 training data gives better result than SVM.Â Keywords: Â SVM, ID3

EFEK DIAMETER COIL, PERBANDINGAN JUMLAH LILITAN, JENIS COIL, PADA TRASMITTER RECEIVER TERHADAP EFISIENSI ENERGI TRANSFER WIRELESS TRANSFER ELECTRICITY DENGAN METODE DESAIN OF EXPERIMENT (DOE) Winarso, Kukuh; Alfaris, Salman
MEDIA STATISTIKA Vol 9, No 1 (2016): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Wireless power transfer is an alternative distribution of electrical power without a physical relationship with the cable. In the study took a problem concerning the design series of receiver on transfer system power without wires that have not done research on the effect of its components such as the diameter of the coil, the ratio of the number of windings, and the type of coil. The components used as an experiment to determine the efficiency of energy transfer from the result electric power. The purpose of this study is used to determine whether the components or factors such as the diameter of the coil, the ratio of the number of windings, and the type of coil give effect to the energy transfer efficiency of the electrical power produced. Research conducted an experiment using a factorial design experiments 23 to solve this problem. Materials used and also used as a factor in the study include the diameter of the coil, the ratio of the number of windings, and coil types, and each factor has two levels. The experimental results showed that factors coil diameter, number of turns ratio and type of coil influence on the efficiency of energy transfer. Decision-making is seen from the results of the calculation of the value of F count greater than F table values.Â Keywords: Wireless Power Transfer, The Efficiency of Energy Transfer, Factorial

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

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