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Jurnal Gaussian

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Published by Universitas Diponegoro

ISSN : - EISSN : 23392541 DOI : -

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Jurnal Gaussian terbit 4 (empat) kali dalam setahun setiap kali periode wisuda. Jurnal ini memuat tulisan ilmiah tentang hasil-hasil penelitian, kajian ilmiah, analisis dan pemecahan permasalahan yang berkaitan dengan Statistika yang berasal dari skripsi mahasiswa S1 Departemen Statistika FSM UNDIP.

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Search results for , issue "Vol 4, No 3 (2015): Jurnal Gaussian" : 30 Documents clear

ANALISIS ANTRIAN ANGKUTAN PENYEBERANGAN PELABUHAN MERAK Ariyo Kurniawan; Sugito Sugito; Yuciana Wilandari
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Marine transportation has an important role on economy and migration from one island to another island. Port is a gateway to enter an area and connecting infrastructure between islands. Merak port as the connector of traffic lanes between Java’s island and Sumatra’s island with Ro-Ro ship. Ro-Ro ship is marine transportation that can load a vehicle rolling on and rolling off the ship with its auto-movement (Roll on Roll off). As a service provider of the Ro-Ro ships, the port of Merak trying to serve Ro-Ro ship as good as possible. Measurement of performance system can be analyzed with direct research in the port. The research is being done by observation and recording of the Ro-Ro ships at the pier port of Merak. Based on the results of the analysis, queue model at the port of Merak is (G/G/5) :(GD/∞/∞). Queuing system simulation and ship docking’s cost analysis can be a reference for the port in optimizing management performance the port of Merak crossing. Keywords: supplemental cost, defined benefit plans, accrued benefit cost.

PEMODELAN JUMLAH UANG BEREDAR MENGGUNAKAN PARTIAL LEAST SQUARES REGRESSION (PLSR) DENGAN ALGORITMA NIPALS (NONLINEAR ITERATIVE PARTIAL LEAST SQUARES) Riana Ikadianti; Rita Rahmawati; Agus Rusgiyono
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Money supply has a tendency to increase or decrease the price level. Because of it, it is important to do a restraint and control action on money supply through its affecting factors include net foreign assets, net claims on central government, claims on region government, claims on the other finances institution, claims on nonfinances enterprise of state-owned corporation, and claims on private sector. In this study, a model has done between money supply and its affecting factors using Partial Least Squares Regression (PLSR) with NIPALS (Nonlinear Iterative Partial Least Squares) algorithm because the affecting factors of money supply data is detected multicollinearity. In the PLSR, regression coefficient is obtained iteratively. Three stage iteration process in PLSR produce weight vector, loading vector, and parameter estimation that produce PRESS and R2 values later. Based on the analysis, PLSR model to the money supply data in July 2012 until December 2014 is obtained at the fourth iteration with minimum PRESS value as 2,10815x1010. That PLSR model has R2 value as 99,47%, so it is very good for explaining the money supply. By means of bootstrap technique, concluded that all of the affecting factors of money supply on PLSR model influence money supply significantly. Keywords: money supply, multicollinearity, PLSR, NIPALS

OPTIMALISASI PARAMETER TEKNIK PENGELASAN FLUX CORED ARC WELDING (FCAW) MENGGUNAKAN METODE TAGUCHI MULTIRESPON PCR-TOPSIS Kusumawardani, Meilia; Mustafid, Mustafid; Yasin, Hasbi
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Multi response optimization case has encountered in industrial. Multirespon Taguchi TOPSIS PCR method is used to determine the optimal combination of factors/level and calculate the optimum performance for each response. Purpose of Taguchi method is to reduce the variability, and theory Process Capability Ratio (PCR) shows the process situation in which the parts produced are good or defective. Then Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) to determine the optimal combination multi response case. The case study using the technique of Flux Cored Arc Welding welding (FCAW) using characteristic larger is better. Performance optimal conditions for factor Welding current at 280 ampere and factor Electrode stickout at 21 mm. Then optimal performance conditions for each responses are hardness=481.145 and deposition rate=3.813. These results have a higher value when compared with the initial conditions. So the case results meet the characteristics of larger is better. Keywords : Taguchi Method, PCR, TOPSIS, FCAW

ANALISA FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN PEMBELIAN DAN KEPUASAN KONSUMEN PADA LAYANAN INTERNET SPEEDY DI KOTA SEMARANG MENGGUNAKAN PARTIAL LEAST SQUARE (PLS) Bella Cynthia Devi; Abdul Hoyyi; Moch. Abdul Mukid
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Persepsi konsumen terhadap tuntutan kebutuhan layanan internet Speedysangat beragam. Terdapat beberapa faktor yang dipertimbangkan konsumen sebelum menggunakan layanan akses internet, faktor tersebut diantaranya harga, merek dan kualitas. Di lain pihak, konsumen akan merasa puas jikalayanan internet Speedy melebihi harapan konsumen. Faktor-faktor yang mempengaruhi keputusan pembelian dan kepuasan layanan internet Speedy diungkapkan secara komprehensif dengan persamaan struktural berbasis komponen, Partial Least Square (PLS). PLS mengestimasi model hubungan antar variabel laten dan antar variabel laten dengan indikatornya. Dari hasil analisis diperoleh kesimpulan bahwa keputusan pembelian layanan internet Speedy dipengaruhi oleh harga, merek dan kualitas, sedangkan kepuasan konsumen dipengaruhi oleh keputusan pembelian dan kualitas. Kata kunci : Partial Least Square, Speedy, keputusan pembelian, kepuasanANALISA FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN PEMBELIAN DAN KEPUASAN KONSUMEN PADA LAYANAN INTERNET SPEEDY DI KOTA SEMARANGMENGGUNAKAN PARTIAL LEAST SQUARE (PLS)

PENERAPAN REGRESI LINIER MULTIVARIAT PADA DISTRIBUSI UJIAN NASIONAL 2014 (Pada Studi Kasus Nilai Ujian Nasional 2014 SMP Negeri 1 Sayung) Vica Nurani; Sudarno Sudarno; Rita Rahmawati
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

National Exam is a measurement and assessment activities accession of national competency standards on specific subjects as well as a requirement that a student continue to pursue higher education. If we want to know the relationship between national exam score and semester score using multivariate linear regression analysis. Multivariate linear regression is the linear regression model with more than one response variables Y correlated and one or more predictor variables X. In the multivariate linear regression analysis, model selection is the important thing. This is because the selection of the best models in the multivariate linear regression analysis depends on the number of predictor variables involved in the model. The purpose of this study was to determine the best model in the multivariate linear regression analysis using the criteria of Mean Square Error (MSE). The result showed using MSE criterion obtained the best model with the smallest MSE value for 17424540. The best model obtained consists of six predictor variables and four response variables. The effect from response to predictor is 74,512%. Keywords : National Exam, Multivariate Linear Regression, MSE Criterion, Best Model.National Exam is a measurement and assessment activities accession of national competency standards on specific subjects as well as a requirement that a student continue to pursue higher education. If we want to know the relationship between national exam score and semester score using multivariate linear regression analysis. Multivariate linear regression is the linear regression model with more than one response variables Y correlated and one or more predictor variables X. In the multivariate linear regression analysis, model selection is the important thing. This is because the selection of the best models in the multivariate linear regression analysis depends on the number of predictor variables involved in the model. The purpose of this study was to determine the best model in the multivariate linear regression analysis using the criteria of Mean Square Error (MSE). The result showed using MSE criterion obtained the best model with the smallest MSE value for 17424540. The best model obtained consists of six predictor variables and four response variables. The effect from response to predictor is 74,512%. Keywords : National Exam, Multivariate Linear Regression, MSE Criterion, Best Model.

ANALISIS REGRESI KEGAGALAN PROPORSIONAL DARI COX PADA DATA WAKTU TUNGGU SARJANA DENGAN SENSOR TIPE I (Studi Kasus di Fakultas Sains dan Matematika Universitas Diponegoro) Oka Afranda; Triastuti Wuryandari; Dwi Ispriyanti
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

One of the goals of studying in Higher Education Institutionis to obtain a job as soon as possible. A graduate is not required to be an unemployed. In Indonesia, the average period of waiting time for undergraduate (S1) to get the first job is 0 (zero) to 9 (nine) months. There are several factors have influenced the length of an undergraduate to get a job. They are Grade Point Average (GPA), Length of Study, etc. Therefore, it is important to know the factors influencing the waiting time of undergraduates to get a job. One method that can be used is the analysis of survival. Survival analysis is the analysis of survival time data from the initial time of the study until certain events occur. One method of survival analysis is Cox Proportional Hazard Regression. It is used to determine the relationship between one or more independent variables and the dependent variable. Cases raised in this study were the factors influencing the waiting time of graduates of the Faculty of Science and Mathematics, University of Diponegoro by using Type I data censoring. The conclusions state that the factors influencing the waiting time of graduates are Organization, Department, and Gender.Keywords: Waiting time of undergraduate, survival analysis, Cox Proportional Hazard, Regression, University of Diponegoro.

PEMODELAN KURS RUPIAH TERHADAP DOLLAR AMERIKA SERIKAT MENGGUNAKAN REGRESI PENALIZED SPLINE BERBASIS RADIAL Kartikaningtiyas Hanunggraheni Saputri; Suparti Suparti; Abdul Hoyyi
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Exchange rate is the price of a currency from a country that is measured or expressed in another country's currency. A country's currency exchange rate has fluctuated due to exchange rate determined by the demand and supply of the currency. One of method that can be used to predict the exchange rate is the classical time series analysis (parametric). However, the data exchange rate that fluctuates often do not fulfill the parametric assumptions. Alternative used in this research is penalized spline regression which is nonparametric regression and not related to the assumption of regression curves. Penalized spline regression is obtained by minimizing the function Penalized Least Square (PLS). To handle the numerical instability and changing data then used radial basis at Penalized spline estimator. Selection of the optimal models is rely heavily on determining the optimal lambda and optimal knot point that is based on the Generalized Cross Validation (GCV) minimum. Using data daily exchange rate of the rupiah against the US dollar in the period of June 2, 2014 until February 27, 2015, the optimal penalized spline bases on radial model in this study is when using 2 order and 13 knots point, those points are 11625; 11669; 11728; 11795; 11911; 11974; 12069; 12118; 12161; 12372; 12452; 12550; 12667 with GCV = 3904.8.Keywords: exchange rate, penalized spline, radial bases, penalized least square, generalized cross validation

KETEPATAN KLASIFIKASI TINGKAT KEPARAHAN KORBAN KECELAKAAN LALU LINTAS MENGGUNAKAN METODE REGRESI LOGISTIK ORDINAL DAN FUZZY K-NEAREST NEIGHBOR IN EVERY CLASS Candra Silvia; Yuciana Wilandari; Abdul Hoyyi
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Traffic accident is an accidental event on the road involving vehicles with or without another road users which causes damage for the victims. Semarang has quite high number of traffic accidents, which in 2014 occured 801 cases of traffic accidents. Based on the government regulation number 43 of 1993 about highway infrastructure and traffic, the impact of traffic accidents can be classified based on victims conditions such as minor injuries, serious injuries, and died. In this research will discuss about the accuracy of severity traffic accidents victim classification in Semarang in 2014 using Ordinal Logistic Regression method and Fuzzy K-Nearest Neighbor in Every Class (FK-NNC). The result of Ordinal Logistic Regression method analysis produces the accuracy of classification value is 90,5405%, meanwhile Fuzzy K-Nearest Neighbor in Every Class method produces the accuracy of classification method is 89,19%. Keywords: Traffic accidents, Ordinal Logistic Regression, Fuzzy K-Nearest Neighbor in Every Class

ANALISIS ANTRIAN DALAM OPTIMALISASI SISTEM PELAYANAN KERETA API DI STASIUN PURWOSARI DAN SOLO BALAPAN Siti Anisah; Sugito Sugito; Suparti Suparti
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Train is one of mass transportation’s mode in great demand by the people of Indonesia. Purwosari and Solo Balapan stations are place which often visited by the public to travel long distances by using the train from economy class, business and executive. With so many types of trains that pass through the station, so the queuing analysis needs to be done to find out how the train service system at the station. From the results obtained, the queuing model at the Purwosari station is (M/M/2):(GD/∞/∞) for model lanes of 1 and 4 and lanes of 2 and 3. For the queuing model from lanes of 1 and 5 in the Solo Balapan station obtained models (M/M/2):(GD/∞/∞). Later models of queuing lanes of 2,3, and 4 at the station Solo Balapan is (M/M/3):(GD/∞/∞), while lane of 6 is (M/M/1):(GD/∞/∞). Keywords: Train, Purwosari and Solo Balapan Stations, Queuing models.

PENERAPAN DIAGRAM KONTROL T2 HOTELLING PADA PROSES PRODUKSI KACA Muhammad Hilman Rizki Abdullah; Rita Rahmawati; Hasbi Yasin
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

SPC (Statistical Process Control) is a method used to monitoring the process of identifying the causes of variance and improve processes. In term of its variable characteristic, quality control in SPC can be divided into two kinds of univariate control charts and multivariate control charts. T2 Hotelling control chart is a multivariate control charts used in quality control process mean. In the process of glass production, This research was conducted in two stages by making use three major characteristics of quality, those are thickness, length and width. Application of T2 Hotelling control chart on the first phase of the signal are out of control, so it is necessary to identify the variable signal causes the uncontrolled use Decomposition MYT (Mason, Young and Tracy). Based on the identification of variables obtained that the variable width is the cause of the signal out of control. In the second phase is stable glass production process it shows the company has made improvements to the production process of phase II. Keywords: Statistical Process Control, Quality Control, Hotelling T2 control chart, signal out of control

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Department of Statistic, Faculty of Science and Mathematics , Universitas Diponegoro Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro Gedung F lt.3 Tembalang Semarang 50275

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Jawa tengah

INDONESIA