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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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PEMODELAN REGRESI BERGANDA DAN GEOGRAPHICALLY WEIGHTED REGRESSION PADA TINGKAT PENGANGGURAN TERBUKA DI JAWA TENGAH Utami, Tiani Wahyu; Rohman, Abdul; Prahutama, Alan
MEDIA STATISTIKA Vol 9, No 2 (2016): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The problems in employment was the growing number of Open Unemployment Rate (OUR). The open unemployment rate is a number that indicates the number of unemployed to the 100 residents are included in the labor force. The purpose of this study is mapping the data OUR in Central Java and the suspect and identify linkages between factors that cause OUR in the District / City of Central Java in 2014. Factors that allegedly include population density (X1), Inflation (X2), the GDP value (X3), UMR Value (X4), the percentage of GDP growth rate (X5), Hope of the old school (X6), the percentage of the labor force by age (X7) and the percentage of employment (X8). Geographically Weighted Regression (GWR) is a method for modeling the response of the predictor variables, by including elements of the area (spatial) into the point-based model. This research resulted in the conclusion that the OLS regression models have poor performance because the residual variance is not homogeneous. There were no significant differences between GWR models with OLS model or in other words generally predictor variables did not affect the response variable (rate of unemployment in Central Java) spatially. However, GWR model could captured modelling in each region.Â Keywords: multiple linear regression, geographiically weighted regression, open unemployement rate in Central Java.

KEEFEKTIFAN PRAUJIAN NASIONAL MATEMATIKA TAHUN AKADEMIK 2004/2005 (Studi Kasus di SMK Negeri dan Swasta di Jakarta Selatan 06) Hoyyi, Abdul
MEDIA STATISTIKA Vol 2, No 1 (2009): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

National pre-exam is one way of the evaluation to the studentâ€™s ability. Through national pre-exam, it would get information how far the studentâ€™s preparation to have national exam. National pre-exam is expected to improve studentâ€™s score on national exam. In addition, national pre-exam is expected can be used to evaluate studentâ€™s preparation and it can predict national examination score. The improving of studentâ€™s achievement depends on the way the analysis of change of national examination achievement distribution and description statistics analysis national examination score. The statistics of McNemarâ€™s test is used to know studentâ€™s preparation, because the sample is dependent. Correlation and simple linier regression analysis used for analysis prediction. The increase of national examination score not always the effect of pre-national examination. The pre-national examination canâ€™t be used to estimate studentâ€™s preparation. The probability student that pass the national exam is higher than pre-national exam. It is caused by pre-national exam is more difficult than national exam through the same passing limit. The score of national exam prediction is obtained confidence limit wide enough. Therefore, the variant national of examination achievements is quite large. Â Key words: National Pre-exam, National Exam, Description Analysis, McNemarâ€™s Test; Predictionhttp://ejournal.undip.ac.id/index.php/media_statistika/article/view/2481

DETERMINAN IMPOR SERAT KAPAS DI INDONESIA TAHUN 1975-2014 (PENDEKATAN ERROR CORRECTION MECHANISM) Nida'ul Hanifah; Fitri Kartiasih
MEDIA STATISTIKA Vol 11, No 2 (2018): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The activity of textile sector and textile product (TPT) in Indonesia keeps growing from year to year.TPTIndustry has become the main contributor of foreign exchange from non-oil and gas sector. Unfortunately, the domestic supply of cotton fiber, main material of textile product, can’t fulfill textile industry’s demand. It forces the nation to import the raw materials. Based on the problem about the import that still exist until the present, it is necessary to do a research to analyze the development of cotton fiber import in Indonesia and to identify the factors affecting the development of Indonesian cotton fiber imports during 1975-2014. This research uses descriptive analysis and inference analysis. The descriptive analysis method used in this research is graphical analysis, while the inference analysis is Error Correction Mechanism (ECM) method. Based on the estimation made with ECM, it was found that 5 variables significantly affect the cotton import volume in the long term, including: real per capita Gross Domectic Product (GDP), international cotton fiber prices, domestic cotton fiber production, the demand of cotton fiber by domestic yarn spinning industry and textile product exports volume. While in short term, only 4 variables significantly affect thecotton fiber import volume: domestic cotton fiber production,the demand of cotton fiber by domestic yarn spinning industry, real per capita GDP and textile product exports volume. Keywords: import, cotton fiber, Textile Industry and Textile Product (TPT),Error Correction Mechanism (ECM).

PENELUSURAN KARAKTERISTIK PERILAKU KONSUMEN DENGAN METODE AUTOMATIC INTERACTION DETECTION (AID) Rusgiyono, Agus
MEDIA STATISTIKA Vol 1, No 1 (2008): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

AID methods used to see relation between respons variable with a number of variable of predictor and also see related pattern between predictors. In AID procedures data disjointed in two group determined by variable of predictor most explaining of differenceÂ values of respons variables, and this recuring process so that yielded to with refer to splits in data. Every split yield new data sub which its variable values is mutually and exclusiveÂ exhaustive. Its end resultsÂ with refer toing crotch is so-called tree of AID Â Keywords : split, tree of AID

PREDIKSI HARGA SAHAM MENGGUNAKAN SUPPORT VECTOR REGRESSION DENGAN ALGORITMA GRID SEARCH Yasin, Hasbi; Prahutama, Alan; Utami, Tiani Wahyu
MEDIA STATISTIKA Vol 7, No 1 (2014): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The stock market has become a popular investment channel in recent years because of the low return rates of other investment. The stock price prediction is in the interest of both private and institution investors. Accurate forecasting of stock prices is an appealing yet difficult activity in the business world. Therefore, stock prices forecasting is regarded as one of the most challenging topics in business. The forecasting techniques used in the literature can be classified into two categories: linear models and non linear models.Â One of forecasting techniques in nonlinear models is support vector regression (SVR). Basically, SVR adopts the structural risk minimization principle to estimate a function by minimizing an upper bound of the generalization. The optimal parameters of SVR can be use Grid Search Algorithm method. Concept of this method is using cross validation (CV). In this paper, the SVR model use linear kernel function. The accurate prediction of stock price, in telecommunication, is 92.47% for training data and 83.39% for testing data. Â Keywords: Stock price, SVR, Grid Search, Linear kernel function.

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

PENENTUAN MODEL REGRESI TERPOTONG ATAS DENGAN METODE MAKSIMUM LIKEHOOD Jalarno, Dydaestury; Ispriyanti, Dwi
MEDIA STATISTIKA Vol 1, No 2 (2008): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Model regresi terpotong atas merupakan suatu model regresi dengan nilai-nilai variabel dependen y < a, dengan a adalah suatu titik potong atas yang dipilih berdasarkan penelitian. Dengan demikian, model regresi terpotong lebih tepat jika digunakan untuk penelitian yang berorientasi pada suatu karakteristik tertentu dari obyek pengamatan yaitu variabel dependennya. Distribusi yang digunakan untuk model regresi ini adalah distribusi normal terpotong atas. Estimasi parameter regresinya menggunakan metode Maksimum Likelihood dan metode iteratif Newton Raphson sedangkan pengujian signifikansi model menggunakan Uji Likelihood Rasio, uji t dan harga koefisien determinasi (R2)

PENGARUH SKEWNESS DAN KURTOSIS DALAM MODEL VALUASI OBLIGASI Abdurakhman Abdurakhman; Di Asih I Maruddani
MEDIA STATISTIKA Vol 11, No 1 (2018): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The Gram-Charlier expansion, where skewness and kurtosis directly appear as parameters, has become popular in finance as a generalization of the normal density. Non-normal skewness and kurtosis of underlying asset of bond issuer company are significantly contributes to the phenomenon of volatility smile. Hermite polynomial is used to get an expansion of the probability distribution. In this paper, Gram-Charlier model is applied to BTPN Bond which is issued in 2017. The result showed that Gram-Charlier model is more consistent than Black-Scholes model when the skewness and kurtosis are taken into account.Keywords: Skewness, Kurtosis, Gram-Charlier, Hermite polynomial

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

NEW METHOD TO MINING ASSOCIATION RULES USING MULTI-LAYER MATRIX QUADRANT Hakim, R. B. Fajriya
MEDIA STATISTIKA Vol 6, No 2 (2013): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Successful retail organizations utilizing any information they had for managing sales strategies. Most of information about consumerâ€™s retail organization had been stored in transactions database. Discovering knowledge from information stored in the transaction database has led several established methods implemented in many cases with their advantages and disadvantages. One of methodologies to uncover relationship among frequent items purchased in transaction database known as association rules. However, the research of association rules techniques to find knowledge from transaction database still provides a significant opportunity for new methods to participate. In this paper, we proposed a new method of mapping a frequent item set to a multi-layer matrix quadrant. This new method could show the metrics usually used to describe the association rules between items purchased same as any method used in association rules analysis.Keywords: Association Rules, Matrix Quadrant, Support, Confidence, Lift Ratio

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