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All Journal Media Statistika MATEMATIKA SAINS DAN MATEMATIKA Jurnal Gaussian Efficient: Indonesian Journal of Development Economics
Diah Safitri
Departemen Statistika, Fakultas Sains Dan Matematika, Universitas Diponegoro
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Other

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ANALISIS SPASIAL PENGARUH TINGKAT PENGANGGURAN TERHADAP KEMISKINAN DI INDONESIA (Studi Kasus Provinsi Jawa Tengah) Rahmawati, Rita; Safitri, Diah; Fairuzdhiya, Octafinnanda Ummu
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 (507.192 KB) | DOI: 10.14710/medstat.8.1.23-30

Abstract

Poverty is still being one of big problems in Indonesia. Any efforts are done to find a solution for this problem. Poverty itself can be caused of the high unemployment that occurs. With a number of unemployment, it will be lower income thus reducing also purchasing power and the ability to meet the needs of life thus causing poverty. This study analyzed the impact of unemployment to the poverty as involving spatial factors, using spatial regression analysis. Used data on poverty and unemployment in each regency in the central java, the analysis shows that based on likelihood ratio test, obtained LR test value 6,038 or p-value 0,014001 which means there is a spatial correlation. By testing model simultaneously nor individually using Breusch-Pagan test and Wald test, it show that both are significant, with BP = 6,7094; df = 1; p-value = 0,009591 and Wald statistic = 7,0238; p-value = 0,0080434. The results means there are spatial element in the relations between unemployment and poverty in central java so that SEM is more proper used than ordinary linear regression. Keywords: Spatial Error Model (SEM), Spatial Autocorrelation, Spatial Heterogeneity
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
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.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (400.162 KB) | DOI: 10.14710/medstat.3.1.9-20

Abstract

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  Chart for unexplained principal components in Ellipse Chart.   Keywords : Principal Component Analysis, Ellipse Chart,  Chart
ANALISIS KLASTER UNTUK SEGMENTASI PEMIRSA PROGRAM BERITA SORE STASIUN TV SWASTA Rosiatun, Aan; Widiharih, Tatik; Safitri, Diah
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 (481.177 KB) | DOI: 10.14710/medstat.3.2.93-102

Abstract

A procedure market segmentation is designing the market segmentation use the method of cluster k-means analyze which applied in process designing the market evening news audiences on  tv chanels. The process of grouping audiences into each segment which  formed, based on likeness of characteristic owned and it formed 3 market segment evening news audiences, that is audiences group who give low evaluation, audiences group who give enough evaluation, and audiences group who give high evaluation. Result from the market segmentation with case study at Pangkah district Tegal regency got first cluster is 25.2 %, second cluster is 46 %, and third cluster is 28.8 %. Marketing strategy can target be old > 20 years because it has members total of cluster is biggest. The result can be used by a television company to determine marketing strategy.   Keywords: Characteristic, Market Segmentation, Cluster K-Means Analysis
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
ANALISIS KORELASI KANONIK PADA PERILAKU KESEHATAN DAN KARAKTERISTIK SOSIAL EKONOMI DI KOTA PATI JAWA TENGAH Safitri, Diah; Indrasari, Paramita
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 (359.063 KB) | DOI: 10.14710/medstat.2.1.39-48

Abstract

One of the general problem that is social and economics which not yet flatten and still meeting of low health case. To know the correlation between social and economics characteristic and behavior of health in Pati of Central Java is used the canonical correlation analysis. The variable that is taken are  social and economics characteristic and behavior of health variable, which each  consisting of nine indicator variable. Some assumptions like linearity, normal multivariable and do not multicolinearity should be fulfilled. After the assumption have fulfilled, data processing can be done so that obtained a conclusion. The result of canonical correlation analysis indicate that there is a signifikan correlation between social and economics characteristic variable and behavior of health variable. From nine indicator which forming variable of social and economics characteristic, earnings indicator variable, education of mother, expenditure and education of father giving the most dominant of contribution. While from nine behavior of health variable, indicator of balanced nutrient variable, physical activity, eradication of mosquito den, house floor, exclusive ASI, and brush teeth giving the most dominant of contribution.   Keywords   :     Social and Economics Characteristic, Behavioral of Health, Canonical Correlation Analysis
VECTOR AUTOREGRESSIVE (VAR) UNTUK PERAMALAN HARGA SAHAM PT INDOFOOD SUKSES MAKMUR Tbk. Maruddani, Di Asih; Safitri, Diah
MATEMATIKA Vol 11, No 1 (2008): JURNAL MATEMATIKA
Publisher : MATEMATIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (105.777 KB)

Abstract

In simultaneous or structural  equation models, if there is true simultaneity among a set of variables, they should not be any apriori distinction between endogenous and exogenous variables. It is in this spirit of the VAR models. We study  stock value simultaneous model at PT Indofood Sukses Makmur Indonesia Tbk, for the period of 1998–2005. Variables in stock value simultaneous models are stock value, Return of Assets (ROA), Debt to Equity Ratio (DER), and Earning Per Share (EPS). The data is obtained from the Indonesian Capital Market Directory, Jakarta Stock Exchange and PT Indofood Sukses Makmur Indonesia Tbk. Financial Statement. The empirical results showed that the variables under consideration can be said to be integrated of order one, and the residuals have independent and normal distribution. With AIC and SC values, we conclude that each equations contains four lag values of Stock Value, ROA, DER, and EPS. The estimated VAR model can be used for forecasting the future values of stock value. In this study, we forecast the stock value from 2006:1 until 2007:12.  
Model Dinamik Pertumbuhan Ekonomi Indonesia Pasca Krisis Moneter: Suatu Pendekatan Koreksi Kesalahan (Model Koreksi Kesalahan) I Marudani, Di Asih; Wilandari, Yuciana; Safitri, Diah
JURNAL SAINS DAN MATEMATIKA Volume 15 Issue 1 Year 2007
Publisher : JURNAL SAINS DAN MATEMATIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (519.409 KB)

Abstract

ABSTRACT---Salah satu perkembangan utama pada spesifikasi dinamis adalah Error Correction Model (ECM). ECM dapat dipakai untuk menjelaskan mengapa pelaku ekonomi menghadapi ketidakseimbangan (disequilibrium). Secara khusus, Teorema Representasi Gramger menyatakan bahwa ECM dapat dikatakan valid jika memuat himpunan variabel yang memenuhi uji kointegrasi. Pada hubungan keseimbangan antara xt dan yt adalah : yt = β0 + β1 xt maka dari penurunan rumus diperoleh Error Correction Model : ∆ yt= b1 ∆ xt – λ (yt-1 - β0 - β1 xt-1) + et 0 < λ < 1 Pada penelitian ini, akan diselidiki faktor-faktor yang mempengaruhi pertumbuhan ekonomi Indonesia pasca krisis moneter, yaitu periode 1997(III) – 2004(IV), sebagai studi kasus. Hasil empiris digunakan untuk menyelidiki efek jangka pendek dan jangka panjang dari variabel-variabel penjelas pada model pertumbuhan ekonomi. Dari hasil analisis diperoleh ECM : ∆ln(ĝdp)t = 0.004633 – 0.954748∆ln(kre)t + 0.397869∆ln(eks)t + 0.046700 ∆ln(fdi)t + 0.286713∆ln(kre)t-1– 0.183157∆ln(eks)t-1 – 0.360344∆ln(fdi) t-1 + 0.34592ECT Dan model jangka panjang yang dihasilkan adalah : ln (ĝdp)t= 0.013418 + 1.828841 ln(kre) + 0.470522 ln(eks) – 0.041697 ln (fdi) Kata kunci : Model Koreksi Kesalahan, kointegrasi, stasioneritas
PENGGUNAAN REGRESI LOGISTIK BINER DAN ITERATIVE DICHOTOMISER 3 (ID3) DALAM PEMBUATAN KLASIFIKASI STATUS KERJA (Studi Kasus Penduduk Kota Surakarta Tahun 2015) Winastiti, Lugas Putranti; Rusgiyono, Agus; Safitri, Diah
Jurnal Gaussian Vol 6, No 3 (2017): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (370.011 KB) | DOI: 10.14710/j.gauss.v6i3.19343

Abstract

Discussing about the macro economy usually discuss about unemployment. Unemployment basically can not be fully eliminated. Unemployment usually symbolized with an employment status of person. In this research, two methods were used in making the classification of employment status in the population of the city of Surakarta in February 2015, the methods are binary logistic regression and Iterative Dichotomiser 3 (ID3) Algorithm. Predictor variables used in determining employment status were age, gender, status in the household, marital status, education and work training. Comparison of the training data and testing data is 60:40. Based on calculations obtained binary logistic regression variables that significantly affect the employment status are age, gender and marital status and the accuracy using testing data is 75%, while the calculations of a decision tree using iterative dichotomiser 3 algorithm the accuracy using testing data is  75%. Keywords: Classification, Iterative Dichotomiser 3 Algorithm, Binary Logistic Regression
Co-Authors Aan Rosiatun Abdul Hoyyi Agus Rusgiyono Agustifa Zea Tazliqoh Al Qarani, Muhammad Aqajahs Anik Nurul Aini Arsyil Hendra Saputra Bimbi Ardhana Rizky Desy Tresnowati Hardi Di Asih I Marudani Di Asih I Maruddani Dwi Ispriyanti Esti Pratiwi Evi Yulia Handaningrum Hasbi Yasin Imam Nur Sholihin Juria Ayu Handini Kishatini Kishartini Maruddani, Di Asih Maryam Jamilah An Hasibuan Muhamad Faliqul Asbah Mustafid Mustafid Nariswari Diwangkari, Nariswari Nunik Nurhasanah Nurissalma Alivia Putri Octafinnanda Ummu Fairuzdhiya Paramita Indrasari Puput Ramadhani Rita Rahmawati Rita Rahmawati Rose Debora Julianisa, Rose Debora Rukun Santoso Sari, Sasmita Kartika Setya Adi Rahmawan Sucihatiningsih Dian Wisika Prajanti Sudarno Sudarno Sudarno Sudarno Suparti Suparti Tarno Tarno Tatik Widiharih Tatik Widiharih Tyas Estiningrum Vetranella .T.R.A. Sinaga Winastiti, Lugas Putranti Yuciana Wilandari Zia, Nabila Ghaida