Triastuti Wuryandari
Departemen Statistika, Fakultas Sains Dan Matematika, Universitas Diponegoro

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Journal : Media Statistika

IDENTIFIKASI AUTOKORELASI SPASIAL PADA JUMLAHPENGANGGURAN DI JAWA TENGAH MENGGUNAKAN INDEKS MORAN Wuryandari, Triastuti; Hoyyi, Abdul; Kusumawardani, Dewi Setya; Rahmawati, Dwi
MEDIA STATISTIKA Vol 7, No 1 (2014): 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 (520.109 KB) | DOI: 10.14710/medstat.7.1.1-10

Abstract

Unemployment is caused by the work force or job seekers are not proportional with the number of existing jobs. Unemployment is often a problem in the interconnected economy due to unemployment, productivity and income will be reduced. The number of unemployed in an are      a expected to be affected by unemployment in the surrounding area. This is made ​​possible because of the proximity factor or adjacency between regions, it is estimated that there are linkages to the regional unemployment rate. To determine the relationship between regional linkages used Moran’s Index method. The number of unemployed in Central Java, obtained Moran’s Index value = 0.0614. Moran's Index values​​ in the range 0 < I ≤ 1 indicating the presence of spatial autocorrelation is positive but small correlation can be said because of near zero, orit can be concluded that the similarity between the district does not have a value or indicate that unemployment among districts in Central Java has a small correlation.Keywords: Unemployment, Moran’s Index, Central Java, Autocorrelation, Spatial
BAGGING CLASSIFICATION TREES UNTUK PREDIKSI RISIKO PREEKLAMPSIA (Studi Kasus : Ibu Hamil Kategori Penerima Jampersal di RSUD Dr. Moewardi Surakarta) Mukid, Moch. Abdul; Wuryandari, Triastuti; Ratnaningrum, Desy; Sri Rahayu, Restu
MEDIA STATISTIKA Vol 8, No 2 (2015): 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 (292.156 KB) | DOI: 10.14710/medstat.8.2.111-120

Abstract

Preeclampsia is a spesific pregnancy disease in which hypertency and proteinuria occurs after 20 weeks of pregnancy. Classification Trees is a statistical method that can be used to identify potency of expectant women suffering from preeclampsia. This research aim to predict the risk of preeclampsia based on some individual variables. They are parity, work status, history of hypertension of preeclampsia, body mass index, education and income. To improve the stability and accuracy of the prediction were used the Bootstrap Aggregating Classification Trees method. By the method, classification accuracy reach to 86%.Keywords : Pre-eclampsia, Bagging CART, Classification Accuracy
RANCANGAN STRIP PLOT MODEL TETAP Wuryandari, Triastuti; Wilandari, Yuciana; Afifah, Noor
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 (123.555 KB) | DOI: 10.14710/medstat.1.1.35-42

Abstract

The experiment involve the study of the effects of two or more factors can be used the factorial designs. The factorial designs have several advantages. They are more efficient than one factor at a time experints. Furthermore, a factorial designs is necessary when interaction may be present to avoid misleading conclutions. In the Strip Plot design is factorial two factors which random factors aren’t  based on main plot or the whole plot but the important is it’s interaction. There are three error in the Strip plot. They are error caused by factor A, error caused by factor B and error by A and B interaction.   Keywords: Factorial, Strip Plot, Interaction
UJI HIDUP DIPERCEPAT PADA DISTRIBUSI EKSPONENSIAL TERSENSOR TIPE II DENGAN TEGANGAN KONSTAN Prayudhani, Oktaviana; Wuryandari, Triastuti
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 (277.309 KB) | DOI: 10.14710/medstat.3.2.69-78

Abstract

Accelerated Life Testing (ALT) is used to obtain information quickly on life distribution, failure rates and reliabilities. ALT is achieved by subjecting the test units to conditions such that the failure occur sooner. Prediction of long term reliability can make within a short periode of time. Result from the ALT are used to extrapolate the unit characteristic at any future time and at given normal operating conditions. ALT using a time varying stess application is often used to induce failure in relatively short times. The most basic and useful type of ALT in which the stress on each unit is increased step by step over time, it can substantially shorten the duration of the reliability test. The life distribution which used in reliability test is exponential distribution. By using Maximum Likelihood Estimation is obtained point estimation of parameter on step stress, and povital quantity is obtained confidence interval for parameter. From this estimation Mean Time to Failure (MTTF) and reliability of product under normal operating condition   Keysword: Accelerated Life Testing (ALT), Step Stress, Exponential Distribution, Maximum Likelihood Estimation, Povital Quantity
PERBANDINGAN KLASIFIKASI NASABAH KREDIT MENGGUNAKAN REGRESI LOGISTIK BINER DAN CART (CLASSIFICATION AND REGRESSION TREES) Waluyo, Agung; Mukid, Moch. Abdul; Wuryandari, Triastuti
MEDIA STATISTIKA Vol 7, No 2 (2014): 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 (338.113 KB) | DOI: 10.14710/medstat.7.2.95-104

Abstract

Credit is the greatest asset managed the bank and also the most dominant contributor to the bank’s revenue. Debtors to pay their credit to the bank may smoothly or jammed. This study aims to identify the variables that affect a debtor’s credit status and compare the acuration of classification method both classification and regression trees (CART)  and logistic regression. The variables used were debtor’s gender, education level, occupation, marital status, and income. By using logistic regression, it was known that only the debtor’s income effect their credit status with the classification accuration reach into 80%. By using CART, there were some variables affect the credit status and the classification accuration 80,9%. This paper showed that the performance of CART in classifying the credit status of debtors was better than logistic regression. Keywords: Credit Status, Logistic Regression, CART  
ANALISIS PENGARUH STRATEGI BAURAN PEMASARAN TERHADAP PEMILIHAN MEREK LAPTOP MENGGUNAKAN REGRESI LOGISTIK MULTINOMIAL (Studi Kasus Mahasiswa Universitas Diponegoro) Himmah, Faiqotul; Wuryandari, Triastuti; Hoyyi, Abdul
MEDIA STATISTIKA Vol 5, No 1 (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 (365.579 KB) | DOI: 10.14710/medstat.5.1.17-26

Abstract

One of necessity is considered very important in this era is necessity for information. The tools that  support necessity of comsumer   for information, such as computer that use battery or better known as laptop. Laptop is a product often used by businessman/enterprise and academic actors also the student are no  exception. There are many laptop brands that revolve in Indonesia, are the Acer brand, Toshiba, Hp, Axioo, Dell, and the brand in addition to those brands. This research aim to know the effect of marketing mix  strategy, which consist of three variable factors: product, price, and promotion to the selection of laptop brand  in  Diponegoro  University  students.  The  sample  of  research  taken  by  using  non probability   sampling,  that  is  purposive  sampling  technique  dan  accidental  sampling technique. Analysis that used is multinomial logistic regression analysis, a regression analysis to  solve  problems  where  dependent  variable  has  more  than  2  categories  with  several independent variables. Based on the significance test for the overall model and the wald test for each parameter coefficient, consider that three of the marketing mix  variables has a relationship with the selection of laptop brand. The biggest probability estimates for the Acer brand in the group with medium product, high price, and high promotion in the amount of 77.461%. The biggest probability estimates for the Toshiba brand in the group with highproduct,  high  price,  and  medium  promotion  in  the  amount  of  49.239%.  The  biggest probability estimates for the Hp brand in the group with medium product, medium price, and medium promotion in the  amount of 46.074%. The biggest probability estimates for the Axioo-Dell brand  in the group with with  medium product,  medium price,  and  medium promotion in the amount of 14.764%. The biggest probability estimates for the other brands in the group with medium product, high price, and medium promotion in the  amount of 22.134%.
METODE TAGUCHI UNTUK OPTIMALISASI PRODUK PADA RANCANGAN FAKTORIAL Wuryandari, Triastuti; Widiharih, Tatik; Anggraini, Sayekti Dewi
MEDIA STATISTIKA Vol 2, No 2 (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 (430.172 KB) | DOI: 10.14710/medstat.2.2.81-92

Abstract

Taguchi methods represent the effort quality improvement which known as off-line quality control  method because the method design quality into every appropriate process and product. Taguchi methods is represent quality repair with attempt “new” methods, its meaning do dissimilar approach giving same belief storey by SPC (Statistical Proces Control), very effective in quality improvement as well as lessening expense of same. Fractional factorial design represent base from Taguchi method by fraction from factorial design. Fractional factorial with  4 factors and defining relations p = 2 is or 81 run become or 9 blocks with each blocks there are 9 run just eligible one block. The block name that is Orthogonal Array which lessen time and attemp fare. Orthogonal Array used to device of factorial attemp 3 level by 4 factors that is Orthogonal Array L9. Optimalitation product of factorial design  can be determinate with tables of anova, table of response and tables of Signal to Noise Ratio.   Keywords: Taguchi Methods, Signal to Noise Ratio, Orthogonal Array
MODEL REGRESI COX PROPORSIONAL HAZARD PADA DATA KETAHANAN HIDUP Hanni, Tuan; Wuryandari, Triastuti
MEDIA STATISTIKA Vol 6, No 1 (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 (500.975 KB) | DOI: 10.14710/medstat.6.1.11-20

Abstract

A lot of events occured in daily life are connected with survival time, for example a time interval that measure the failure of a product, time duration which is needed to recover from disease, the back pain recurred after treatment. Data about survival time duration of an event is called survival data. Survival data can not be observed completely that is called as sensored data. Cox proportional hazard model is employed to analyze and determine the survival rate from cencored data affected one or more explanatory variables. This model assummed that the hazard rate of group is proportional to the hazard rate of another group. In the paper, wants to the factor that affect the survival of patient with cervical cancer. From the result of data processing that affect are age and stadum with cox proportionl hazard model is  hi(t) = exp(-1.848U1i – 1.584U2i – 3.255S2i - 2.108S3i ) h0(t)   Keywords : Cox Proportional Hazard, Survival Rate, Hazard Rate, Cervical Cancer
MODEL CURAH HUJAN EKSTREM DI KOTA SEMARANG MENGGUNAKAN ESTIMASI MOMENT PROBABILITAS TERBOBOTI Rusgiyono, Agus; Wuryandari, Triastuti; Rahmawati, Annisa
MEDIA STATISTIKA Vol 8, No 1 (2015): 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 (451.893 KB) | DOI: 10.14710/medstat.8.1.13-22

Abstract

The methods is used to analyze extreme rainfall is the Extreme Value Theory (EVT). One of the approaches of EVT is the Block Maxima (BM) which it follows the distribution of Generalized Extreme Value (GEV). In this study, the dasarian rainfall data of 1990-2013 in the Semarang City is divided based on block monthly and examined in October, November, December, January, February, March and April. The resulted blocks are 24 with 3 observations each block. Parameter shape, location and scale are estimated  Probability Weight Moments (PWM) methodes The result of this study are January has the greatest occurrence chance of extreme value, estimated of parameter shape 0,3840564, location 138,8152989 and scale 68,6067117. In addition, the alleged maximum value of dasarian rainfall obtained in a period of 2, 3, 4, 5 and 6 years are 243,45753 mm, 308,23559 mm, 357,26996 mm, 397,96557 mm and 433,28889 mm respectively. Keywords: Rainfall, Extreme Value Theory, Block Maxima, Generalized Extreme Value, Probability Weight Moments
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (293.687 KB) | DOI: 10.14710/medstat.9.1.41-49

Abstract

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. Keywords: Central Java, Agricultural Commodities, Cluster Analysis, Non-Hierarchical,     k Medoids, Outlier