Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal Media Statistika MATEMATIKA SAINS DAN MATEMATIKA Jurnal Gaussian
Yuciana Wilandari
Jurusan Statistika FSM Undip
Decision Sciences, Operations Research & Management Mathematics Other

Published : 20 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 20 Documents
Search

 1   2 
ANALISIS KLASIFIKASI KABUPATEN DI JAWA TENGAH BERDASARKAN POPULASI TERNAK MENGGUNAKAN FUZZY CLUSTER MEANS Wilandari, Yuciana; Mukid, Moch. Abdul; Megawati, Nurhikmah; Sutarno, Yulia Agnis
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 (294.834 KB) | DOI: 10.14710/medstat.7.2.77-88

Abstract

One of the fundamental problems that always exist in a regions in Indonesia is the problem of poverty. Various poverty reduction efforts initiated by the Central Government and the Regions is now experiencing growth and significant shifts in accordance with the direction and context of poverty reduction targets. To overcome poverty, one of the things done by the Central Java provincial government is to help livestock. Livestock types cultivated in Central Java, is a large livestock, namely cattle (beef / dairy), buffalo and horses, while small livestock consists of goats, sheep and pigs. For that conducted the study to classify  cities in Central Java into groups based on livestock population. The grouping using fuzzy cluster analysis means. From this study showed that of the three kinds of clusters obtained many tried to do the most accurate cluster is 3 clusters with Xie-Beni index 0,3279177, with cluster 1 are 20 city, cluster 2 are 12 City and cluster 3 there are 3 City. Keywords: Classification, Fuzzy Cluster Means, Livestock
IDENTIFIKASI POLA DISTRIBUSI CURAH HUJAN MAKSIMUM DAN PENDUGAAN PARAMETERNYA MENGGUNAKAN METODE BAYESIAN MARKOV CHAIN MONTE CARLO Mukid, Moch. Abdul; Wilandari, Yuciana
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 (764.458 KB) | DOI: 10.14710/medstat.5.2.63-74

Abstract

especially for the management of regional water resources. In this study, we not only identify the distribution of maximum rainfall,  but also estimate the parameter of its distribution. The research was conducted in the  Grobogan District. Maximum rainfall in the district of Grobogan from 2006 to July 2012 was very varied, but over the years have a pattern unlikely to change. Highest maximum rainfall ranged in December, January, February and March while the lowest rainfall maskimum normally be in June, July and August. By using the Kolmogorov-Smirnov test on the significance level of 5% is known that the maximum rainfall from 2006 to 2012 in the District Grobogan follow a normal distribution with a value of  D statistics is 0.089. This statistic produces a significance value ​​of 0.518. By using the Bayesian Markov Chain Monte Carlo obtained the value for the parameter mean of normal distribution is 46.269 mm with a standard error reach into 4.005 mm.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (584.089 KB) | DOI: 10.14710/medstat.9.1.51-61

Abstract

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. Keywords : Traffic Accident, Log Linear Model
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KESEMBUHAN PASIEN PENYAKIT FLU BURUNG Wilandari, Yuciana; Safitri, Diah
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 (199.635 KB) | DOI: 10.14710/medstat.2.1.11-18

Abstract

Avian influenza is contagion which caused by influenza virus type H5N1 often cause death. Avian influenza anticipated to be influenced by gender, age, epidemiology and case, to know the factors have a significant effect used by independent test. is later on made model of regresi binary logistics. Then obtained by factor having an effect is case and epidemiology, that is made regression logistics model. Someone which including case of suspect to be able to have probability recover bigger than someone which including confirmation case, someone which contact with dead an avian to be able to have probability  recover smaller than someone which no contact.
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 FAKTOR-FAKTOR YANG MEMPENGARUHI INDEK MUTU BENANG MENGGUNAKAN METODE POHON REGRESI (Studi Kasus di PT. Industri Sandang Nusantara Unit Patal Grati) Dewi, Hesti Sari; Wilandari, Yuciana; Sudarno, Sudarno
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 (262.685 KB) | DOI: 10.14710/medstat.5.2.75-86

Abstract

Quality for ripe material (yarn) really necessary for the company, therefore needs to control the product (ripe material), so we are able to know the unmatched product percentage of the company standard and to know the cause of the unmatched. The appropriate method to know the influential factor to company yarn quality successes, among those regression tree method. Regression tree is one of CART’s classification method. CART is a useful non parametric statistical method to get an accurate data group as distinguishing as of a classification. Because it has continuous type of response variable, so that CART can create regression tree. Regression tree is utilized to figure relationship among one response variable with one or more predictor variable that gets continued character and also category. The variables that have influence for yarn quality index at PT. Industri Sandang Nusantara Patal Grati’s Unit are raw material, machine output year, air humidity (RH) and hall temperature. The result of the research is that the year of machine output variable is the most influence to foot up yarn quality index and has main contribution in the formation of regression tree.   Keywords : Regression tree, CART, Yarn quality index, Rayon.
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
MODEL EKSPONENSIAL GANDA PADA PROSES STOKASTIK (STUDI KASUS DI STASIUN PURWOSARI) Sugito, Sugito; Wilandari, Yuciana
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 (363.109 KB) | DOI: 10.14710/medstat.8.1.49-58

Abstract

In general, mathematical modeling is divided into two, namely the model of deterministic and stochastic models. On stochastic modeling involves several processes among them are the Poisson process, the process of Bernoulli, Gaussian processes, the process of renewal and other processes. Specifically for the Poisson process often found in modeling queuing theory. At Poisson process there are four kinds of sub model that can be formed that is Double Poisson models, Exponential Poisson models, Poisson Exponential model, and Double Exponential models. In this paper will discuss the Double Exponential model in stochastic processes , specifically for the Poisson process. Analysis was performed on the data arrival time and service time. The model is a model (M / M / c) : ( GD / ~, ~) which is a double exponential model in stochastic processes. Keywords: Double Exponential, Poisson Process, Stochastic Process
ANALISIS CLUSTER PADA KABUPATEN/KOTA DI JAWA TENGAH BERDASARKAN PRODUKSI PALAWIJA Safitri, Diah; Widiharih, Tatik; Wilandari, Yuciana; Saputra, Arsyil Hendra
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 (213.891 KB) | DOI: 10.14710/medstat.5.1.11-16

Abstract

Production of palawija, namely maize, cassava, sweet potato, peanut, soybean, and green bean is an important food crop in Central Java. In this article, districts/cities in Central Java are grouped into three groups based on the production of palawija so as to know which group have high potential the production of maize, cassava, sweet potato, peanut, soybean or green bean by using k-means cluster analysis. Cluster 1 consists of District Cilacap, Wonosobo, Magelang, Karanganyar, Semarang, Temanggung, Kendal, and Batang that have a high potential in maize production. Cluster 2 consists of District Banyumas, Purbalingga, Banjarnegara, Kebumen, Purworejo, Boyolali, Klaten, Sukoharjo, Sragen, Blora, Rembang, Pati, Kudus, Jepara, Demak, Pekalongan, Pemalang, Tegal, Brebes, Magelang City, Surakarta City, Salatiga City, Semarang City, Pekalongan City, and Tegal City  that have a high potential in peanut production. Cluster 3 consist of District Wonogiri and Grobogan that have a high potential in soybean production, green bean production, cassava production, and sweet potato production
ASURANSI KESEHATAN INDIVIDU PERAWATAN RUMAH SAKIT Wilandari, Yuciana
MATEMATIKA Vol 10, No 3 (2007): JURNAL MATEMATIKA
Publisher : MATEMATIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (49.747 KB)

Abstract

The Individual Insurance Health of the Hospital Care is a cooperation form to reduce hospital expenses. The calculation of the annual net premium is influenced by age and sex at the policy released time. The premium can be paid once in each year by renewing the premium every year and also cannot be renewed.  
Co-Authors Abdul Hoyyi Agus Rusgiyono Agustina Sunarwatiningsih Alan Prahutama Amanda Lucky Berlian Ana Kristiana, Ana Arsyil Hendra Saputra Candra Silvia, Candra Chrysmandini Pulung Gumauti, Chrysmandini Pulung Di Asih I Marudani Di Asih I Maruddani Diah Safitri Dwi Ispriyanti Eugenia Septri Hutahayan, Eugenia Septri Hasbi Yasin Hesti Sari Dewi Juli Sekar Sari, Juli Sekar Moch. Abdul Mukid Nanci Rajagukguk, Nanci Noor Afifah Nurhikmah Megawati Pusphita Anna Octaviani Riama Oktaviani Samosir, Riama Oktaviani Rita Rahmawati Sudarno Sudarno Sugito - Tarno Tarno Tatik Widiharih Triastuti Wuryandari Trimono, Trimono Utami, Rianti Siswi Yulia Agnis Sutarno