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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 3, No 1 (2010): Media Statistika" : 6 Documents clear

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 EFISIENSI BANK PERKREDITAN RAKYAT DI KOTA SEMARANG DENGAN PENDEKATAN DATA ENVOLEPMENT ANALYSIS Septianto, Hendi; Widiharih, Tatik
MEDIA STATISTIKA Vol 3, No 1 (2010): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The research was conducted to measure rural banks (Bank Perkreditan Rakyat / BPR) efficiency level in Semarang city. The measurement was done using non parametric approach with Data Envolepment Analysis (DEA) method constant return to scale assumption (CCR model). The research was using all rural banks in SemarangÂ (16 rural banks). The result indicated that 6 rural banks were efficient and 10 rurals banks were inefficient. Â Keywords: CCR Model, Efficient, Rural Bank

PEMODELAN REGRESI PROSES GAUSSIAN PEMODELAN REGRESI PROSES GAUSSIAN MENGGUNAKAN FUNGSI PERAGAM EKSPONENSIAL KUADRAT Mukid, Moch. Abdul
MEDIA STATISTIKA Vol 3, No 1 (2010): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Gaussian Process is a collection of random variables where any finite subset of that has a joint multivariate Gaussian distribution. A Gaussian Process is fully specified by its mean and its covariance function. One of the popular covariance functions is squared exponential that has two hyperparameters. In this paper Gaussian Process is used to made a prediction of Â the number of clothes produced by PT. APAC INTI CORPORA based on the number of attending employes, the number of overtime employes, the number of brokendown machines and used materials. Â Â Keywords: Gaussian Process, Covariace Functions, Squared Exponential

PERSEPSI DUNIA KERJA TERHADAP LULUSAN FRESH GRADUATE S1 MENGGUNAKAN MULTIDIMENSIONAL UNFOLDING (Studi Kasus: Dunia Usaha di Kabupaten Batang) Adhyaksa, M. Atma; Rusgiyono, Agus
MEDIA STATISTIKA Vol 3, No 1 (2010): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Corporate perception of college graduates S1 fresh graduate is a viewpoint held by the world of work regarding the criteria considered in selecting candidates for most job applicants from graduates S1 fresh graduate based on his resume. Perceptions are reviewed based on the configuration of unfolding multidimensional mapping between business entities with the most preferred criteria in the selection process beginning college graduates S1 fresh graduate. Multidimensional unfolding was one of the techniques used in analyzing the proximity between objects is visualized in graphical form in which individuals and stimuli presented in one graph. Â The result is a grade point average, ability and suitability of computer applications course with the working position is most noticed by companies in selecting a job application letter from the college graduates S1 fresh graduate. Â Keywords: Corporate Perception, Fresh Graduate, Multidimensional Unfolding

KOMPONEN UTAMA UNTUK PENGENDALIAN KUALITAS SECARA STATISTIK Nurhasanah, Nunik; Safitri, Diah
MEDIA STATISTIKA Vol 3, No 1 (2010): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Statistically Quality Control is a problem solving technique that used to check, control, analyze, bring off and repair product with statistical methods. One of the method that used statistically control quality is Principal Component Analysis. Principal Component Analysis is a multivariate technique that used to reduce the dimension of data. Principal component is concerned with explaining the variance-covariance structure of a set of variables through a few linear combinations of these variables. Statistically quality control with principal components is used by constructing multivariate control charts which consist of Ellipse Chart for first two principal components and Â Chart for unexplained principal components in Ellipse Chart. Â Keywords : Principal Component Analysis, Ellipse Chart, Â Chart

PREDIKSI TERJANGKITNYA PENYAKIT JANTUNG DENGAN METODE LEARNING VECTOR QUANTIZATION Hidayati, Nurul; Warsito, Budi
MEDIA STATISTIKA Vol 3, No 1 (2010): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Learning Vector Quantization (LVQ) is a method that train the competitives layer with supervised. The competitives layer will learn automatically to classify the input vector given. If some input vectors has the short distance then the input vector will be grouped into the same class. The LVQ method can be used to classify the data into some classes or categories. At this paper, the LVQ method will be applied to classify if someone is suffer potenciate of heart desease or not. The data that be trained are 268 data of heart desease patient from UCI (University of California at Irvine) with 10 variables that are factors influence that infected of heart desease. From some trials showed that the learning rate (Î±) = 0.25, decrease of learning rate (DecÎ±) = 0.1, and the minimum learning rate (MinÎ±) = 0.001 are values that give a good prediction with level of accuracy is about 66.79 %. Â Keywords: Learning Vector Quantization, Classify, Heart Desease

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