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PENDEKATAN METODE SIX SIGMA-TAGUCHI DALAM MENINGKATKAN KUALITAS PRODUK (Studi Kasus PT. Asaputex Jaya Spinning Mill Tegal) Nesvi Intan Oktajayanti; Mustafid Mustafid; Sudarno Sudarno
Jurnal Gaussian Vol 5, No 1 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The main factors to achieve business success in the era of globalization is the quality. In the business world, quality control is the key to maintaining customer loyalty. For a company doing quality control is expected to achieve the company's goals, related to the company's revenue. This is the purpose of PT. Asaputex Jaya Spinning Mill Tegal to make efforts to improve the production activities, especially in improving quality by reducing defects. Six Sigma-Taguchi method can be used to improve quality yarns product. From the analysis we found that the control diagram p, data of defects is uncontrolled, so the capability process is still low with capability value is 0,502. So, it need to be improved to enhance product quality yarns. By using the Taguchi method we can know factors and optimal level to improve the quality of the yarn. That Factor and level is TPI with the optimum level that can be used are Level 2 (13,5 rpm), level 1 (383 tpm) for Delivery Speed factor, for the weight of cotton the optimum level is level 1 (2,0 Kw) and factor Grain the optimal level is level 2 (400 Ne). Keywords: Six Sigma Method, Design Experiment of Taguchi, Capability Process

PENDEKATAN METODE SERVQUAL DAN KLASTER FUZZY K-MEANS UNTUK MENGANALISIS INDEKS KEPUASAN NASABAH BANK X Dewi Erliana; Mustafid Mustafid; Abdul Hoyyi
Jurnal Gaussian Vol 3, No 3 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Servqual (service quality) is a method for measuring the service quality of each dimension attribute. Servqual dimensions include tangibles, empathy, responsiveness, reliability, and assurance. Cluster analysis is a technique for classifying objects that have the same characteristics in a relatively homogeneous group. One method of cluster is Fuzzy k-Means (FKM). Classification object with FkM, the existence each data point in a cluster is determined by the degree of membership. Determination of the optimum number of clusters using the accuracy measure Xie Beni index (XB). XB index calculation depends on the objective function or distance data to each cluster center, the distance between the center of the cluster, and weighted (fuzzifier). Based on the optimum number of clusters, then will be calculated percentage of Customer Satisfaction Index (CSI). This research is based on a case Bank X customers through questionnaires of customer satisfaction based on the servqual dimension. Result of the research showed the optimum number of cluster 4 and weight 1.1. Customers in cluster 1 was 84.36 % very satisfied with most of the service quality Bank X. Customer in cluster 2 was 72.79 % satisfied, but they think there was nothing more conspicuous of service quality in Bank X. Customer in cluster 3 are satisfied with the value of 77.66 % satisfaction primarily to the ease in submitting a complaint.

MODEL REGRESI COX STRATIFIED PADA DATA KETAHANAN Mohamad Reza Pahlevi; Mustafid Mustafid; Triastuti Wuryandari
Jurnal Gaussian Vol 5, No 3 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Stratified Cox model on the events are not identical is a modification of the Cox Proportional Hazard models when there are individuals who experienced more than one incident. This study aims to form a stratified Cox regression models for repeated occurrences of data are not identical and their application to cases of hemorrhagic stroke disease recurrence and to determine the factors that affect the case. Parameter Estimation in Stratified Cox models using Partial Maximum Likelihood Estimation (MPLE). Stratified Cox model building procedure consists of six stages: (1) identification data, which specify the variables that will be used in the Cox models. (2) Estimated Cox Proportional Hazard model parameters. (3) The test parameters for each variable using the Wald test. (4) Testing Proportional Hazard assumptions. (5) stratification variables. (6) Interpretation Stratified Cox models. This study uses data of patients who experienced a hemorrhagic stroke unspecified with 7 independent variables such as age, sex, blood pressure, blood sugar, triglycerides, cholesterol and replications. Based on the testing parameters obtained three variables that influence such as age, cholesterol levels and repeat. Furthermore, in assuming Proportional Hazard showed that replicates variable Proportional Hazard did not meet the assumptions that need to be stratified. Unspecified hemorrhagic stroke patients aged over 50 years admitted to 3.230 times longer than the patients were under 50 years old. Unspecified hemorrhagic stroke patients with high cholesterol levels are treated 0.182 times faster than patients with normal cholesterol levels. Keywords: Stratified Cox, Cox Proportional Hazard, MPLE, Haemorrhagic Stroke, Recurrent Events

METODE SERVQUAL-SIX SIGMA UNTUK PENINGKATAN KUALITAS PELAYANAN PUBLIK (Studi Kasus di Kantor Kecamatan Kedungbanteng, Purwokerto) Dian Andhika Prameswara; Mustafid Mustafid; Alan Prahutama
Jurnal Gaussian Vol 3, No 4 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Implementation public service is the fulfillment of civil rights that must be implemented by the government, so that its implementation must fit and be able to provide comfort and satisfaction for the society. Therefore, the performance of public services should be improved constantly and controlled so as to meet the needs of service users, because of the good and bad of a public service can be public benchmarks to assess the performance of the government. Measuring the quality of services is not as easy to measure the quality of the product, because the services are subjective. Therefore, the dimension of Servqual as a tool used to measure the performance of public services and Six Sigma to improve the performance of the public service. This study aims to apply the Servqual-Six Sigma methods with the aim to improve the performance of public services Kedungbanteng District Office. The results obtained in this study is that the dimensions of Servqual Six Sigma can be applied to improve the quality of public services.. As a whole, the results obtained indicate that the process of public service at the Kedungbanteng District Office not meet the standards of satisfaction targets 8. The process is based on the dimensions of Servqual is tangible, reliability, responsiveness, assurance, and empathy, respectively located in the sigma value 3,089; 3,102; 3,054; 3,195 and 3,219. This means, the number of mismatches that may arise from one million services performed for each dimension is respectively 5,61%; 5,46%; 6,01%; 4,5% and 4,28%. Keywords: Public service, Servqual, Six Sigma

IMPLEMENTASI METODE LEAN SIX SIGMA SEBAGAI UPAYA MEMINIMALISASI CACAT PRODUK KEMASAN CUP AIR MINERAL 240 ml (STUDI KASUS PERUSAHAAN AIR MINUM) Ari Fakhrus Sanny; Mustafid Mustafid; Abdul Hoyyi
Jurnal Gaussian Vol 4, No 2 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Efforts to increase productivity can not be said that the human factor is not the only factor which should be observed, studied, analyzed, and repaired in the effort to increase productivity, but also other factors such as machine, equipment, raw materials, factory buildings, etc. may also affect the productivity improvement efforts remain to be considered. Quality is the customer's main factor to decide products and services. Therefore, quality is a key factor which brings business success and growth, and improves competitive position. Lean six sigma method is a method to identify and eliminate waste or activities which are not value added and analyze defect rate product approaches zero defect products. This study aims to implement lean six sigma methods in quality control with case studies of product quality bottled water cup 240 ml at the quality control process produces eleven types of disabilities. Efforts should be made to improve the quality of products, one of them by monitoring the production process control diagram. The results obtained in this study is the value of DPMO on line 1 of 546 machines produce sigma level of 4.766 and a percentage of 99.95%, which means that in a million products cup 240 ml mineral water contained 0.05% units of a product that does not fit in production line machine 1. The DPMO values on line 2 of 291 machines produce sigma level of 4.932 and a percentage of 99.97%, which means that in a million products cup 240 ml mineral water contained 0.03% units of a product that does not fit in production line machine 2. Keywords : Quality, Quality Control, Lean Six Sigma

PENERAPAN METODE STRUCTURAL EQUATION MODELING UNTUK ANALISIS KEPUASAN PENGGUNA SISTEM INFORMASI AKADEMIK TERHADAP KUALITAS WEBSITE (Studi Kasus pada Website sia.undip.ac.id) Enggar Nur Sasongko; Mustafid Mustafid; Agus Rusgiyono
Jurnal Gaussian Vol 5, No 3 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Quality of website has an important role in giving effect to the website user's satisfaction. The quality of a website is measured by the adjusted WebQual dimensions include the dimensions of the system, dimension of information, dimension of interaction and dimension of services. Structural Equation Modeling is a method that used to examine complicated correlation simultaneously consisting of dependent variables and independent variables. This research aims to apply Structural Equation Modeling and Importance Performance Analysis methods in determining the influence of website quality factors on user satisfaction of academics Information System's website, and to find the performance of variables that need to be improved. This research is conducted at the University of Diponegoro, involving 200 students from Diponegoro University as the respondents. From the test of overall models, it obtained Goodness of Fit with the value of Chi Square = 68.748 and RMSEA = 0.084. From the analysis, it can be concluded that the dimension of interaction has the effect of 35%, dimension of information in amount of 35%, the dimension of service is 22.1%, and the dimensions of system in amount of 8.7%. And variables that need to improve performance are ease of website to be accessed's variable, variable of detail information, and ease of PBM evaluation's variable. Keywords: website quality, user satisfaction, Structural Equation Modeling

SIX SIGMA UNTUK ANALISIS KEPUASAN PELANGGAN TERHADAP PERSEPSI KUALITAS PROVIDER KARTU GSM PRABAYAR Dina Rosmalia Listya Utami; Mustafid Mustafid; Rita Rahmawati
Jurnal Gaussian Vol 4, No 1 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The company is currently competing industry in offering a good product in the form of goods or services in order to attract consumers. Competition industrial companies also occur in companies engaged in the telecommunications sector that influence the cellular telecommunications services company. In 2000 PT Indosat and PT Telkomsel was licensed as an operator National GSM 1800 as mandated by the Telecommunications Act No. 36/1999. In recent years, the Provider of Indosat and Telkomsel occupied the top two in terms of number of customers and the profit generated. This study aimed to analyze the level of customer satisfaction on the perception of the quality of the GSM prepaid card provider used by using six sigma method that becomes an approach to reduce the variability of the process through the use of statistical tools. In this study, the overall process is in a state that has not been well despite being in the category of satisfied but do not meet the targets used. DPMO results obtained from the Provider Indosat and Telkomsel to dimensions of technical quality and functional quality with a target of 8 each is 189718,8; 180625; 102343,8; 105250 with the sigma level 2,37; 2,41; 2,76 and 2,32. As for the dimensions of technical quality and functional quality with the target 9 on each Provider DPMO results obtained for 279750; 271666,7; 202083,3; 204666,7 with sigma level 2,08; 2,41; 2,33 and 2,32. These results are still far from the expected target is 3,4 DPMO and 6-sigma. Keywords: Six Sigma, DPMO, Service Quality, Customer Satisfaction.

MODEL REGRESI DATA PANEL SIMULTAN DENGAN VARIABEL INDEKS HARGA YANG DITERIMA DAN YANG DIBAYAR PETANI Bayyina Zidni Falah; Mustafid Mustafid; Sudarno Sudarno
Jurnal Gaussian Vol 5, No 4 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Interdependent relationship (simultaneity) between endogenous variables, that’s Farmers Recieved and Paid Price Index, can’t be modeled in a single equation, but there are two equations in a system of simultaneous equations. Each of these equations can’t be estimated separately without entering information from other equations. The purpose of this research is modelling panel data regression simultaneously. The method that’s used is Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM) with estimation technique is Two Stages Least Square (2SLS). The modelling is done by a panel data consisting of 32 provinces in 2013, 2014, and 2015. Based on the results of the Chow test, Hausman test, F statistic, and the value of R2, the result is that REM is the most suitable model to model the simultaneity of the panel data. REM has different intercepts in each province. F statistic value for the first equation of 152,658 with a significance of 0.000, and R2 value of 83,2%. For the second equation, statistics F value of 44396,16 with siginifikansi 0,000, and R2 value of 99.9%. From the results of this modelling, the model that’s created can express the interdependent relationship between endogenous variables as well the diversity of variables between provinces.Keywords: Panel data, CEM, FEM, REM, Farmers Recieved Price Index,Farmers Paid Price Index

KAJIAN SIX SIGMA DALAM PENGENDALIAN KUALITAS PADA BAGIAN PENGECEKAN PRODUK DVD PLAYERS PT X Nailatis Shofia; Mustafid Mustafid; Sudarno Sudarno
Jurnal Gaussian Vol 4, No 1 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Increasingly rapid development period, many industry sectors are growing and developing in Indonesia. Quality basic consumer decision factor in selecting goods and services. In the process of checking the audio end section 8 types of defects found on the product DVD players. Damage that occurs due to several factors, including factors human, material factors, and factors machines. If the quality of a company is said to have good production systems with process control. Six Sigma method is a method that can be used for analysis of the defect rate to approach zero defect products. The procedures used for quality improvement towards the target that the concept of Six Sigma DMAIC. This study aims to apply Six Sigma methods in quality control by conducting case studies to improve product quality DVD player at the end of the audio process. The results obtained in this study is on the whole production process mengkasilkan DPMO value of 5487 with sigma quality level of 4.04 means that the product of one million DVD players there are 5487 units of product that does not fit in production. Keywords : Quality, Statistical Quality Control, Six Sigma

PENDEKATAN MIXED GEOGRAPHICALLY WEIGHTED REGRESSION UNTUK PEMODELAN PERTUMBUHAN EKONOMI MENURUT KABUPATEN/KOTA DI JAWA TENGAH Pratama Ganang Widayaka; Mustafid Mustafid; Rita Rahmawati
Jurnal Gaussian Vol 5, No 4 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Global regression models with a multitude of residual variance in each region causing non-homoskedastisitas assumptions are not met. The diversity of the geographic location factors causing spatial heterogeneity. Geographically Weighted Regression (GWR) is a development of linear regression by involving diverse factors geographical location, so that the parameters generated will be local. GWR model is not able to model the combination of local and global influences in a model. So the purpose of forming a GWR Mixed models are able to establish a model GWR with local and global influences simultaneously. GWR Mixed Model is used to estimate the model Gross Regional Domestic Product (GRDP). As independent variables that influence is revenue (PAD/X1), a variable amount of labor (JAK/X2), the human development index (HDI/X3), unemployment rate (TPT/X4) and the regional minimum wage (UMR/X5). Mixed GWR model the variables that are local and which are global variables. Methods for estimating model parameters MGWR using Weighted Least Square (WLS). Weights obtained the appropriate model to estimate the optimal bandwidth by using the reference method Cross Validation (CV) is a minumum. MGWR models with adaptive exponential kernel function weighting on Gross Domestic Product in the districts / cities in Central Java to produce variable JAK, IPM and TPT have the nature of the locality an area that is significant to the later model PAD have a global nature that sigbifikan against the model. To mengengetahui error rate value model is used Akaike Information Criterion (AIC). Keywords: Akaike Information Criterion, Bandwidth Cross Validation, Fungsi Kernel Gaussian, Mixed Geographically Weighted Regression, Weighted Least Square.

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