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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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Jurnal Gaussian
Published by Universitas Diponegoro
ISSN : -     EISSN : 23392541     DOI : -
Core Subject : Education,
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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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Articles 36 Documents
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Search results for , issue "Vol 3, No 4 (2014): Jurnal Gaussian" : 36 Documents clear
ANALISIS SISTEM ANTRIAN PADA LAYANAN PENGURUSAN PASPOR DI KANTOR IMIGRASI KELAS I SEMARANG Purina Pakurnia Artiguna; Sugito Sugito; Abdul Hoyyi
Jurnal Gaussian Vol 3, No 4 (2014): 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 (463.608 KB) | DOI: 10.14710/j.gauss.v3i4.8091

Abstract

Queue is something that can not be separated in everyday life. Almost all services will form a queue, including passport treatment services at the Immigration Office Class I Semarang.To solve the problems associated with the queue, queuing system model needs to be determined in accordance with the conditions and characteristics queue of the service facility at the Immigration Office Class I Semarang appropriately. So it can be known the measure of system performance to create an effective and efficient service. Based on the data analysis of the six (6) counters work, obtained queuing system model that occurs at the Immigration Office Class I Semarang is, (M/M/2)   queuing model for Passports Taking Counter and Customer Service Counter,  queuing model for file transfer counter and payment transfer counter, and  queuing model for photos counter and interview counter. The effectiveness of the applicant’s passport service process can be determined by calculating the average number of applicants in the system and queue, calculates the average time spent in the system and queue, and calculates the probability of a server that is not serving an applicant. Keywords : Queuing system model, Passport’s services, Size of system performanceANALISIS SISTEM ANTRIAN PADA LAYANAN PENGURUSAN PASPOR  DI KANTOR IMIGRASI KELAS I SEMARANG
MULTIVARIATE ADAPTIVE REGRESSION SPLINES (MARS) UNTUK KLASIFIKASI STATUS KERJA DI KABUPATEN DEMAK Kishartini, Kishatini; Safitri, Diah; Ispriyanti, Dwi
Jurnal Gaussian Vol 3, No 4 (2014): 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 (491.318 KB) | DOI: 10.14710/j.gauss.v3i4.8082

Abstract

Unemployment is one of the issues relating to economic activities, public relations and also the problems of humanity. Unemployment also occur in Demak and factors suspected as the cause of unemployment in Demak: gender, area of residence, age, status in the household, marriage status and education. Demak BPS records the number of people looking for work (unemployed) as many as 226.228 people, or 29,55% of the working age population. MARS (Multivariate Adaptive Regression Splines) is one of the methods used for classification. MARS is used for high-dimensional data, which is data that has a number of predictor variables for 3 ≤ v ≤ 20 data used in this study is a secondary data from national labor force survey (SAKERNAS) in 2012. To get the best MARS models performed with by combining Maximum Base Function (BF), Minimal Observation (MO), and Maximum Interaction (MI) by trial and error. MARS model is used to classify employment status in Demak are MARS models (BF =24, MI=3, MO=1). Keywords: Unemployment, Classification, MARS
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (577.092 KB) | DOI: 10.14710/j.gauss.v3i4.8073

Abstract

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
ANALISIS VARIAN PERCOBAAN FAKTORIAL DUA FAKTOR RAKL DENGAN METODE FIXED ADDITIVE MAIN EFFECTS AND MULTIPLICATIVE INTERACTION Akhmad Zaki; Triastuti Wuryandari; Suparti Suparti
Jurnal Gaussian Vol 3, No 4 (2014): 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 (509.709 KB) | DOI: 10.14710/j.gauss.v3i4.7960

Abstract

Factorial experiment is an experiment where is in a condition (experiment unit) were attempted simultaneously from several single experiment. Two-factor factorial experiment with the basic design CRBD (Completely Randomized Block Design) is used to assess the interaction of genotype and environment on multi-location trials. The analysis can be applied in multi-location trials is AMMI analysis (additive main effects and multiplicative interaction). AMMI analysis in the calculations using analysis of variance in a factorial experiment to test the effect of the interaction and Principal Component Analysis (PCA)  to elucidate the effect of the interaction with the interpretation of the results using the biplot-AMMI. Based on research with seven genotypes of rice (S382b-2-2-3, 3-2-3-1 S2389d-, S24871-65-4, S2824-1d-6, S2945f-59, Poso, and C22) and four locations (Sukamandi 94, Batang 94, Taman Bogo 94, and Garut 94) there is the influence of genotype, location, and interaction with genotype and location on rice production. Obtained three Principal Component Interactions (KUI1, KUI2 and KUI3) with the contribution of diversity respectively 78.29%, 13.94% and 7.77%. Interpretation of the AMMI Biplot is obtained genotype 1 (S382b-2-2-3) very suitable to be planted in a location 4 (Garut 94), genotype 2 (S2389d-3-2-3-1) very suitable to be planted in a location 3 (Taman Bogo 94), genotype 3 (S24871-65-4) is more suitable to be planted in locations 2 (Batang 94), genotype 4 (S2824-1d-6) are very suitable to be planted in a location 4 (Garut 94), genotype 5 (S2945f-59) is more suitable to be planted in locations 2 (Batang 94), genotype 6 (Poso) very suitable to be planted in a location 1 (Sukamandi 94) and genotype 7 (C22) is very suitable to be planted in locations 2 (Batang 94). Keywords: Factorial Experiment, CRBD, AMMI, Analysis of Variance, PCA, Biplot
ANALISIS SUPPORT VECTOR REGRESSION (SVR) DALAM MEMPREDIKSI KURS RUPIAH TERHADAP DOLLAR AMERIKA SERIKAT Rizky Amanda; Hasbi Yasin; Alan Prahutama
Jurnal Gaussian Vol 3, No 4 (2014): 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 (361.506 KB) | DOI: 10.14710/j.gauss.v3i4.8096

Abstract

In economy, the global markets have an important role as a forum for international transactions between countries in selling or purchasing goods or services on an international scale. Money as legal tender in the trading activities, but the problem is the difference between the state of the currency, the exchange rate will be established. Exchange rate is the value of a country's currency is expressed in another country's currency value. Fluctuations in foreign exchange rates greatly affect the Indonesian economy, so the determination of the exchange rate should be beneficial to a country can run the economy well. To predict the exchange rate of the Rupiah against the United States dollar in this study used methods of Support Vector Regression (SVR) is a technique to predict the output in the form of continuous data. SVR aims to find a hyperplane (line separator) in the form of the best regression function is used to predict the exchange rate against the United States dollar with linear kernel and polynomial functions. Criteria used in measuring the goodness of the model is the MAPE (Mean Absolute Percentage Error) and R2 (coefficient of determination). The results of this study indicate that both the kernel function gives very good accuracy in the prediction results of the exchange rate with R2 of 99.99% with MAPE 0.6131% in the kernel linear and R2 result of 99.99% with MAPE 0.6135% in the kernel polynomial. Keyword : Exchange rate, Support Vector Regression (SVR),  Hyperplane, Linear Kernel, Polynomial Kernel, ε-insensitive, Accuracy
ANALISIS SISTEM ANTRIAN PELAYANAN TIKET KERETA API STASIUN TAWANG SEMARANG Yustiti, Merlia; Sugito, Sugito; Rusgiyono, Agus
Jurnal Gaussian Vol 3, No 4 (2014): 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 (537.661 KB) | DOI: 10.14710/j.gauss.v3i4.8087

Abstract

Semarang Tawang Station is one of the stations visited by customers. As it is known, the train journey is faster than the bus ride. Therefore, it is necessary to analyze queueing models that describe the condition to determine the size of the system performance and to see how the service provided by Customer Service, Ticket Reservation Counters/ Schedule Change/ Refund, Cancellation of the Ticket Counters, and Self Printing Ticket (CTM). Queueing model at the Customer Service and Self Printing Ticket (CTM) is (M/M/2):(GD/∞/∞), Ticket Reservation Counters/ Schedule Change/ Refund is (M/M/4):(GD/∞/∞), and Cancellation of the Ticket Counters is (M/G/1):(GD/∞/∞). Keywords : Arrival Distribution, Queueing Models, Size of the System Performance

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