Agus Rusgiyono
Departemen Statistika, Fakultas Sains Dan Matematika, Universitas Diponegoro

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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
PENERAPAN GRAFIK PENGENDALIAN DEMERIT TERHADAP DATA KUALITATATIF Rusgiyono, Agus
MEDIA STATISTIKA Vol 2, No 1 (2009): 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 (196.071 KB) | DOI: 10.14710/medstat.2.1.49-56

Abstract

A product is represented as inappropriate considered into minor category up to critical, which than given by weight at characteristic of the inappropriate as a according to its importance level. Ploting all amount of inappropriate at one controller graph regardless of type will mislead. To solve it used by graph controller of demerit. Analysis step represent one of the operational step in program operation of quality with a purpose to understand stability and capability of proces wich underway. Expectation of phase analyse can identify the root problem that caused incidence of variation of quality so that can be continued to repair phase. To understand the stability and capability of process which underway can be depicted with controller graph and analysis its. At this article will be studied demerit graph controller and analysis of capability at data qualitative. Keyword : Stability, Capability and Weighted Graph Controller  
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (525.945 KB) | DOI: 10.14710/medstat.6.2.71-80

Abstract

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.   Keywords: Health Aspects of the Bank, Commercial Banks, Canonical Variate Analysis (CVA) Biplot.
PROSES INFERENSI PADA MODEL LOGIT Rusgiyono, Agus
MEDIA STATISTIKA Vol 1, No 2 (2008): 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 (68.013 KB) | DOI: 10.14710/medstat.1.2.91-98

Abstract

Let represent the response on a nominal random variable of Bernoulli distribution, with    ,  where is a parameter with unknown value. Problems of estimating used smallest square methods in  linier regression model  can overcome with used maximum likelihood method in  logistic regression.. Suppose  is maksimum likelihood estimstors of . In case can be obtained  from first condition, ln(Ln(p)) to be maximum  at point then be obtained and that is unbiased estimator because To be test hipothesis that , with a large sample size used fact that    Keywords : Estimator, unbiased estimator, test statistic
ANALISIS KORESPONDENSI UNTUK PEMETAAN PERSEPSI Rusgiyono, Agus
MEDIA STATISTIKA Vol 3, No 2 (2010): 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 (283.977 KB) | DOI: 10.14710/medstat.3.2.117-123

Abstract

Correspondence analysis used to investigate the relationship between two or more qualitative variables. This technique could shrink the dimensions of variables and describe the profile vector of rows and columns of a matrix vector data from the contingency table. Target correspondence analysis is to show the relationship variables rows and columns as well as visualization variables in R2-dimensional space, using the Chi square of the distance definition in sub-Euclidean space. Keywords: Profile of Row and Column Vectors, Chi Square Distance, Euclidean Subset
PENGUKURAN RISIKO PADA RETENSI OPTIMAL UNTUK REASURANSI STOP LOSS DENGAN VALUE AT RISK Sunarwatiningsih, Agustina; Wilandari, Yuciana; Rusgiyono, Agus
MEDIA STATISTIKA Vol 4, No 1 (2011): 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 (440.774 KB) | DOI: 10.14710/medstat.4.1.23-32

Abstract

Reinsurance is an effective risk management tool for an insurer to minimize the risk of loss. Optimization criteria is based in a minimum VaR of the total risk of in insurer, to derive the optimal retention in stop loss reinsurance. The resulting optimal solution of optimization criterion has several important characteristics, such as: the optimal retention has a very simple analytic form; the optimal retention depends only on the assumed loss distribution and the reinsurer’s loading factor; if optimal solution exist, then VaR based optimization criteria yield the same optimal retentions; there exist a exceeds risk tolerance level which the insurer optimally should not reinsure her risks. The approach allows us  to obtain different results of the optimization problem depends on the measurement of risk used. Furthermore, with optimal retention of risk measurement and minimum of VaR to the total risk, the companies be able to minimize or reduce the loss ratio of claims own retention ceding company. One way to show the existence of an optimal retention used survival function distribution exponensial.   Key words: Stop Loss Reinsurance, Optimal Retention, Value at Risk (VaR)
ANALISIS KUALITAS PELAYANAN DAN PENGENDALIAN KUALITAS JASA BERDASARKAN PERSEPSI PENGUNJUNG Sudarno, Sudarno; Rusgiyono, Agus; Hoyi, Abdul; Listifadah, Listifadah
MEDIA STATISTIKA Vol 4, No 1 (2011): 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 (735.536 KB) | DOI: 10.14710/medstat.4.1.33-45

Abstract

One of the factors which determine customer safisfaction is costumer perceive about service quality that focus to five service quality dimension that are tangible, reliability, responsiveness, assurance, and empathy. This research study service serve quality at UPT Perpustakaan Universitas Diponegoro Semarang with object to know customer perceive with respect to some variables in service quality dimension and satisfaction level. Importance-Performance Analysis used to map relation between importance with performance of respective variables to be and see gap between performance with importance of them variables. Customer Satisfaction Index (CSI) used to analyze all satisfaction respondent level. The T2 Hotelling control chart to know servicing process stability with respect to costumer perceive. Research result shows that the gap is all negative value. It means library performance that represented by 21 variables include 5 service quality dimension still under expected costumer. The value CSI is 62,903% that meaning at enough satisfaction criterion. There are five points at above upper control limit in the T2 Hotelling control chart. Therefore it can be said that process haven’t been controlled by statistical.   Keywords: Service Quality, Importance-Performance Analysis, Customer Satisfaction Index, Hotelling T2 Control Chart.
PEMODELAN GENERAL REGRESSION NEURAL NETWORK UNTUK PREDIKSI TINGKAT PENCEMARAN UDARA KOTA SEMARANG Warsito, Budi; Rusgiyono, Agus; Amirillah, M. Afif
MEDIA STATISTIKA Vol 1, No 1 (2008): 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 (86.16 KB) | DOI: 10.14710/medstat.1.1.43-51

Abstract

This paper is discuss about General Regression Neural Network (GRNN) modelling to predict time series data, i.e. the air pollution rate in Semarang City comprises the floating dust, carbon monoxide (CO) and nitrogen monoxide (NO). The GRNN model have four processing layer that are input layer, pattern layer, summation layer and output layer. The input variable is determined by the ARIMA model. The result of GRNN modelling shows that the network have a good performance both at predict in sample and predict out of sample, that can be seen from the mean square error.   Keywords: GRNN, predict, air pollution  
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (428.078 KB) | DOI: 10.14710/medstat.3.1.49-57

Abstract

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.  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.   Keywords: Corporate Perception, Fresh Graduate, Multidimensional Unfolding
ANALISIS DISKRIMINAN BERGANDA DENGAN PEUBAH BEBAS CAMPURAN KATEGORIK DAN KONTINU PADA KLASIFIKASI INDEKS PRESTASI KUMULATIF MAHASISWA Walidaini, Nur; Mukid, Moch. Abdul; Prahutama, Alan; Rusgiyono, Agus
MEDIA STATISTIKA Vol 10, No 2 (2017): 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 (338.333 KB) | DOI: 10.14710/medstat.10.2.71-83

Abstract

Multiple discriminant analysis is one of the discriminant analysis techniques where the dependent variable  are grouped into more than two groups. This paper discussed how to categorize Grade Point Average (GPA) of undergraduate student of Faculty of Sciences and Mathematics Diponegoro University based on categorical and continuous independent variable including gender, internet usage, time per week for learning, average score in national examination, amount of pocket money per month and the way to enter to Diponegoro University. The GPA grouping refers to the Academic Regulations of Diponegoro University i.e. satisfactory GPA (2,00 to 2,75), very satisfactory (2,76 to 3,50) and with honors (cum laude) (3,51 to 4,00). By using the multiple discriminant analysis with mixture variables, the accuration of classification based on training and testing data reach to 71,875% and 41,667% respectively. 
Co-Authors Abdul Hoyi Abdul Hoyyi Agustina Sunarwatiningsih Alan Prahutama Alan Prahutama Andreanto Andreanto Anggita, Esta Dewi Anifa Anifa Anindita Nur Safira Annisa Rahmawati ANNISA RAHMAWATI Arief Rachman Hakim Aulia Putri Andana Aulia Rahmatun Nisa Bayu Heryadi Wicaksono Bellina Ayu Rinni Besya Salsabilla Azani Arif Bramaditya Swarasmaradhana Budi Warsito Dede Zumrohtuliyosi Dermawanti Dermawanti Desy Tresnowati Hardi Di Asih I Maruddani Diah Safitri Diah Safitri Dian Mariana L Manullang Dini Anggreani Diyah Rahayu Ningsih Dwi Asti Rakhmawati Dwi Ispriyansti Dwi Ispriyanti Eis Kartika Dewi Ely Fitria Rifkhatussa'diyah Enggar Nur Sasongko Etik Setyowati Etik Setyowati, Etik Farisiyah Fitriani fatimah Fatimah Febriana Sulistya Pratiwi Feby Kurniawati Heru Prabowo Fitriani Fitriani Hana Hayati Hanik Malikhatin Hanik Rosyidah, Hanik Hasbi Yasin Hasbi Yasin Hildawati Hildawati Hindun Habibatul Mubaroroh Ika Chandra Nurhayati Ilham Muhammad Imam Desla Siena Inas Husna Diarsih Iwan Ali Sofwan Kevin Togos Parningotan Marpaung Listifadah Listifadah M. Afif Amirillah M. Atma Adhyaksa Marthin Nosry Mooy Maryam Jamilah An Hasibuan Maulana Taufan Permana Merlia Yustiti Moch. Abdul Mukid Moch. Abdul Mukid Muhammad Rizki Muhammad Taufan Mustafid Mustafid Mustafid Mustafid Mustofa, Achmad Nabila Chairunnisa Nor Hamidah Noveda Mulya Wibowo Novie Eriska Aritonang Nur Khofifah Octafinnanda Ummu Fairuzdhiya Puji Retnowati Puspita Kartikasari Putri Fajar Utami Rengganis Purwakinanti Revaldo Mario Ria Sulistyo Yuliani Riana Ikadianti Riszki Bella Primasari Rita Rahmawati Rita Rahmawati Rizal Yunianto Ghofar Rizky Aditya Akbar Rosita Wahyuningtyas Rukun Santoso Salsabila Rizkia Gusman Setiyowati, Eka Shella Faiz Rohmana Siti Lis Ina Atul Hidayah Sudargo Sudargo Sudarno Sudarno Sudarno Sudarno Sudarno Sudarno Sugito - Sugito Sugito Sugito Sugito Suparti Suparti Suparti Suparti Susi Ekawati sutimin sutimin Tarno Tarno Tarno Tarno Tarno Tarno Tatik Widiharih Tiani Wahyu Utami Tika Dhiyani Mirawati Tika Nur Resa Utami, Tika Nur Resa Titis Nur Utami Tri Ernayanti Tri Yani Elisabeth Nababan Triastuti Wuryandari Triastuti Wuryandari Tyas Ayu Prasanti Tyas Estiningrum Ulfi Nur Alifah Ungu Siwi Maharunti Uswatun Hasanah Vierga Dea Margaretha Sinaga Viliyan Indaka Ardhi Walidaini, Nur Winastiti, Lugas Putranti Yogi Isna Hartanto Yuciana Wilandari Yuciana Wilandari Yuciana Wilandari