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All Journal Media Statistika MATEMATIKA Jurnal Gaussian
Tatik Widiharih
Jurusan Statistika FSM Undip

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INFERENSI DATA UJI HIDUP TERSENSOR TIPE II BERDISTRIBUSI RAYLEIGH Widiharih, Tatik; Mardjiyati, Wiwin
MEDIA STATISTIKA Vol 1, No 2 (2008): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Abstract

Abstrak Analisis data uji tahan hidup merupakan salah satu teknik analisis statistika yang banyak digunakan di bidang industri dan kesehatan. Data waktu hidup dapat berupa data lengkap atau data tersensor, dan merupakan variabel random nonnegatif. Estimator titik untuk parameter q digunakan MLE, kemudian MLE tersebut digunakan untuk uji kecocokan distribusi Rayleig dengan metode Anderson Darling. Estimator titik uji tahan hidup meliputi rata-rata waktu kegagalan (mean time to failure / MTTF), fungsi kegagalan h(t), dan fungsi ketahanan S(t). Estimasi interval dilakukan dengan metode besaran pivot. Â  Kata kunci: data tersensor, MLE, rata-rata waktu kegagalan, fungsiÂ Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â  kegagalan, fungsi ketahanan
MODEL PENILAIAN KREDIT MENGGUNAKAN ANALISIS DISKRIMINAN DENGAN VARIABEL BEBAS CAMPURAN BINER DAN KONTINU Mukid, Moch. Abdul; Widiharih, Tatik
MEDIA STATISTIKA Vol 9, No 2 (2016): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Abstract

Credit scoring models is an important tools in the credit granting process. These models measure the credit risk of a prospective client. This study aims to applied a discriminant model with mixed predictor variables (binary and continuous) for credit assesment. Implementation of the model use debitur characteristics data from a bank in Lampung Province which the used binary variables involve sex and marital status. Whereas, the continuous variables that was considered appropriate in the model are age, net income, and length of work. By using the data training, it was known that the misclassification of the model is 0.1970 and the misclassification of the testing data reach to 0.3753.Â Keywords: discriminant analysis, mixed variables, credit scoring
ANALISIS EFISIENSI BANK PERKREDITAN RAKYAT DI KOTA SEMARANG DENGAN PENDEKATAN DATA ENVOLEPMENT ANALYSIS Septianto, Hendi; Widiharih, Tatik
MEDIA STATISTIKA Vol 3, No 1 (2010): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Abstract

The research was conducted to measure rural banks (Bank Perkreditan Rakyat / BPR) efficiency level in Semarang city. The measurement was done using non parametric approach with Data Envolepment Analysis (DEA) method constant return to scale assumption (CCR model). The research was using all rural banks in SemarangÂ  (16 rural banks). The result indicated that 6 rural banks were efficient and 10 rurals banks were inefficient. Â  Keywords: CCR Model, Efficient, Rural Bank
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

Abstract

Taguchi methods represent the effort quality improvement which known as off-line quality control Â method because the method design quality into every appropriate process and product. Taguchi methods is represent quality repair with attempt â€œnewâ€ 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 withÂ  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 Â can be determinate with tables of anova, table of response and tables of Signal to Noise Ratio. Â  Keywords: Taguchi Methods, Signal to Noise Ratio, Orthogonal Array
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

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 onÂ  tv chanels. The process of grouping audiences into each segment whichÂ  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. Â  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

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 CityÂ  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
Rancangan D-Optimal Model Gompertz dengan Maple Widiharih, Tatik; Warsito, Budi
MEDIA STATISTIKA Vol 10, No 1 (2017): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Abstract

Gompertz model is used in many areas including biological growth studies, animal and husbandry, chemistry, and agricultural. Locally D-optimal designs for Gompertz models with three parameters is investigated. We used the Generalized Equivalence Theorem of Kiefer and Wolvowitz to determine D-optimality criteria. Tchebysheff system is used to decide that the D-optimal design is minimally supported design or nonminimally supported design. The result, D-optimal design for Gompertz model is minimally supported design with uniform weight on its support.Keywords:D-optimal, Generalized Equivalence Theorem, Tchebysheff System,Â  Minimally Supported, Uniform Weight.
PENANGANAN MULTIKOLINEARITAS (KEKOLINEARAN GANDA) DENGAN ANALISIS REGRESI KOMPONEN UTAMA Widiharih, Tatik
MATEMATIKA Vol 4, No 2 (2001): JURNAL MATEMATIKA
Publisher : MATEMATIKA

Abstract

Multikolinearitas yang tinggi diantara peubah-peubah bebas, mengakibatkan pendugaan dengan metode kuadrat terkecil tidak dapat diandalkan, ditandai dengan koefisien regresi tidak nyata dan adanya multikolinieritas. Pendeteksian multikolinearitas dapat dilakukan secara informal salah satunya dengan koefisien korelasi lenear antar peubah bebas maupun dengan cara formal dengan faktor inflasi ragam. Analisis regresi komponen utama digunakan untuk menghilangkan multikolinieritas dan semua peubah bebas masuk dalam model, analisis regresi ini merupakan teknik analisis regresi yang dikombinasikan dengan teknik analisis komponen utama . Analisis komponen utama bertujuan menyederhanakan peubah yang diamati dengan mereduksi dimensinya , hal ini dilakukan dengan jalan menghilangkan korelasi diantara peubah-peubah melalui transformasi . Teknik analisis komponen utama dijadikan sebagai tahap analisis antara untuk memperoleh hasil akhir dalam analisis regresi.
MODEL LOGIT KUMULATIF UNTUK RESPON ORDINAL Raharjanti, Robiah Peni Raharjanti; Widiharih, Tatik
MATEMATIKA Vol 8, No 3 (2005): JURNAL MATEMATIKA
Publisher : MATEMATIKA

Abstract

Logit cumulative model is used to discribe the relationship between a response variable and one or more explanatory variables which response variable is of ordinal scale. To estimate the parameters, use maximum likelihood method with Newton Raphson iteration. Testing for the significance of the coefficients is done to fit the model. Test for overall significance of the variables in the model is performed by likelihood ratio test and test on individual coefficient is done using Waldâ€™s test
ESTIMASI DATA HILANG PADA RANCANGAN ACAK KELOMPOK LENGKAP widiharih, Tatik
MATEMATIKA Vol 10, No 2 (2007): JURNAL MATEMATIKA
Publisher : MATEMATIKA

Abstract

Randomized complete block design is a design to reduce the residual error in an experiment by removing variability due to a known and controllable nuisance variable. Missing observations introduce a new problem into the analysis since treatments are no longer orthogonal to blocks, that is, every treatment does not occur in every block, There are two general approaches to the missing values problem. The first is an exact analysis, the second is an approaximate analysis in which the missing observations are estimated and usual analysis of variance is performed just as if the estimated observations were real data, with the error degrees of freedom reduced by the number of missing observations. In this paper was discussed the second approach with completely analysis. Biggerâ€™s method is a simple method for estimating missing observations by using matrix approximation. Â