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INDONESIA
Media Statistika
Published by Universitas Diponegoro
ISSN : -     EISSN : 24770647     DOI : -
Core Subject : Science,
Decision Sciences, Operations Research & Management
Arjuna Subject : -
Articles 6 Documents
 1 
Search results for , issue "Vol 7, No 1 (2014): Media Statistika" : 6 Documents clear
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
BIPLOT UNTUK MENGETAHUI KARAKTERISTIK KABUPATEN/KOTA DI JAWA TENGAH BERDASARKAN PRODUKSI BAWANG PUTIH, BAWANG MERAH, CABE BESAR DAN CABE RAWIT Safitri, Diah; Suparti, Suparti; Pratiwi, Esti; Estiningrum, Tyas
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 (124.049 KB) | DOI: 10.14710/medstat.7.1.47-52

Abstract

Biplot is a graphical representation of a data matrix. Garlic, onions, chili, and thai pepper are important plant in Indonesia because most people in Indonesia especially in Central Java consume garlic, onions, chili, and thai pepper every day. In this research, districts in Central Java seen characteristics are based on the productions of garlic, onions, chili, and thai pepper using biplot. There are highly correlation between chili and thai pepper, which means districts that have highly productions of chili will also tend to have highly production of thai pepper. There are some districts have the production of  garlic, onions, chili, and thai pepper relatively low, and there are some of the city has zero production of  garlic, onions, chili, and thai pepper.   Keywords: Biplot, Production of  garlic, onions, chili, thai pepper
GRAFIK PENGENDALI RAGAM SAMPEL UNTUK MONITORING VARIABILITAS PROSES PRODUKSI Sudarno, Sudarno
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 (307.261 KB) | DOI: 10.14710/medstat.7.1.11-19

Abstract

The control chart is a graphical display or a quality characteristic that has been measured or computed from a sample versus the sample number or time. The variance chart is used to monitoring variability of production process. It is an altenative way to check variability process rather than R chart or s chart. The problems will be done are find the parameters of variance chart, predict process capability, verify defect per million opportunities (DPMO) of process result and simulation kinds of shift sigma values. This result could be used as information to production process at the future time. The result of discussion that upper conrol limit = 0.0014, center line = 0.00073, lower control limit = 0.00028, process capability = 1.003 and DPMO = 2,620 part per million. These parameters used for information in the next production process. Keywords: Variance Chart, Process Capability, Defect per million opportunities, Shift.
PENGELOMPOKAN DAERAH PENGHASIL BAHAN DASAR TEPUNG KOMPOSIT DI INDONESIA MENGGUNAKAN METODE LATENT CLASS CLUSTER ANALYSIS (LCCA) Budiati, Shinta; Susanto, Irwan; Wibowo, Supriyadi
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 (522.365 KB) | DOI: 10.14710/medstat.7.1.21-28

Abstract

Wheat as a base substance of flour, is a source of carbohydrate which is most used for the manufacturing of variety of foodstuffs. Substitution a part of flour with composite flour for manufacturing food will decrease dependency of imported wheat.This research aims to classify the area which produce base substance of composite flour in Indonesia.For this research we will know a group of provinces which become center of production and development target of local resources potency. One way that is used to grouping the object is cluster analysis. In development, there is another grouping technique used, namely Latent Class Cluster Analysis (LCCA).The results show that the selected model from grouping using LCCA is 3groups. The first group is the enough potential area as a production development center. While the second group have the greatest potential area. Meanwhile the last group is the less potentially area.   Keywords: Composite Flour, Cluster Analysis, Latent Class Cluster Analysis (LCCA)  
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (335.209 KB) | DOI: 10.14710/medstat.7.1.29-35

Abstract

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.  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.   Keywords: Stock price, SVR, Grid Search, Linear kernel function.
ANALISIS MODEL PASIEN RAWAT JALAN RUMAH SAKIT KARIADI DENGAN PENDEKATAN POISSON-EKSPONENSIAL Dwi Ispriyanti; Sugito Sugito; Agus Rusgiyono
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 (598.673 KB) | DOI: 10.14710/medstat.7.1.37-46

Abstract

In daily activities, we often face in a situation of queuing. Most people have experiences in a queuing situation  or a waiting  situation . The queuing can be found easily in a human life. For example is the queuing  in the Kariadi Hospital. The Queuing occur from the registration to the service stage. Similarly, in ambulatory patients of Kariadi Hospital, so it is necessary to analyze the queuing effectivity, whether   the queueing   system is optimal or not. One of the statistical methods to analyze the things mentioned above are queuing theory. This research is used  to analyze the queuing service system at the Kariadi hospital Keywords: Kariadi Hospital, The Queuing

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