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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 17 Documents
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Search results for , issue "Vol 2, No 4 (2013): Jurnal Gaussian" : 17 Documents clear
REGRESI ROBUST MM-ESTIMATOR UNTUK PENANGANAN PENCILAN PADA REGRESI LINIER BERGANDA Sherly Candraningtyas; Diah Safitri; Dwi Ispriyanti
Jurnal Gaussian Vol 2, No 4 (2013): 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 (474.953 KB) | DOI: 10.14710/j.gauss.v2i4.3806

Abstract

The multiple linear regression model is used to study the relationship between a dependent variable and more than one independent variables. Estimation method which is the most frequently be used to analyze regression is Ordinary Least Squares (OLS). OLS for linear regression models is known to be very sensitive to outliers. Robust regression is an important method for analyzing data contaminated by outliers. This paper will discuss the robust regression MM-estimator. This estimation is a combined estimation method which has a high breakdown value (LTS-estimator or S-estimator) and M-estimator. Generally, there are three steps for MM-estimator: estimation of regression parameters initial using LTS-estimators, residual and robust scale using M-estimator, and the final estimation parameter using M-estimator. The purpose of writing this paper are to detect outliers using DFFITS and determine the multiple linear regression equations containing outliers using robust regression    MM-estimator. The data used is the generated data from software Minitab 14.0. Based on the analysis results can be concluded that data 21st, 27th, 34th are outliers and equation of multiple linear regression using robust regression MM-estimators is .
METODE PERAMALAN DENGAN MENGGUNAKAN MODEL VOLATILITAS ASYMMETRIC POWER ARCH (APARCH) Cindy Wahyu Elvitra; Budi Warsito; Abdul Hoyyi
Jurnal Gaussian Vol 2, No 4 (2013): 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 (583.385 KB) | DOI: 10.14710/j.gauss.v2i4.3786

Abstract

Exchange rate can be defined as a ratio the value of currency. The exchange rate shows a currency price, if it exchanged with another currency. Exchange rates of a currency fluctuate all the time. Rise and fall exchange rates of a currency in the money market shows the magnitude of volatility occurred in a country currency to other's. To estimate the volatility behavior of the data gave rise to volatility clustering or heteroscedasticity problems, can’t be modeled using ARMA model and asymmetric effects that can‘t be modeled by ARCH or GARCH, can be modeled by Asymmetric Power ARCH (APARCH). In determining the estimated parameter values of APARCH model, used the maximum likelihood method, followed by using the iteration method is Berndt, Hall, Hall and Hausman (BHHH). The APARCH model used to the data return of exchange rate against dollar is APARCH(2,1) or in the form as follows :  = 0,00000268 + 0,830902 + 0,130516  + 0,074784  + 0,151157
ANALISIS PREFERENSI KONSUMEN TERHADAP PRODUK SUSU BERBASIS ANALISIS CONJOINT MENGGUNAKAN METODE PRESENTASI PAIRWISE-COMPARISON (Studi kasus di Beberapa SMP di Kecamatan Banyumanik Kota Semarang) Trianita Resmawati; Moch. Abdul Mukid; Diah Safitri
Jurnal Gaussian Vol 2, No 4 (2013): 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 (408.153 KB) | DOI: 10.14710/j.gauss.v2i4.3811

Abstract

In this study aims to help producer or milk companies to know and understand consumer preferences for attributes combination of milk products specifically for adolescent. The method used in this study is the conjoint analysis using pairwise-comparison as a method of presentation. In this research, the attributes that used are the type of milk, flavor, packaging, and fat content. The result of this reserach shows that the packaging is the most important attribute between the other attributes with a relative importance value of 56.13%. The second most importance attribute is flavor of milk with a relative importance value of 38.55%. Fat content was ranked in the third place with a relative importance value of 4.28%, and the type of milk as the fourth attribute with a relative importance value of 1.05%. In addition, the stimuli is desired by consumers for milk products specifically for adolescent are condensed milk, chocolate, canned, and non fat.
SEGMENTASI PASAR PADA PUSAT PERBELANJAAN MENGGUNAKAN FUZZY C-MEANS (STUDI KASUS: RITA PASARAYA CILACAP) Nurhikmah Megawati; Moch. Abdul Mukid; Rita Rahmawati
Jurnal Gaussian Vol 2, No 4 (2013): 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 (212.041 KB) | DOI: 10.14710/j.gauss.v2i4.3798

Abstract

RITA Pasaraya Cilacap is the first supermarket in Cilacap. Previously, RITA Pasaraya become a shopping center for all people in Cilacap. Now, more and more supermarket is standing. To find this target, RITA Pasaraya needs grouping or market segmentation. Grouping method used  fuzzy cluster means (FCM). For an optimal cluster number using the accuracy of the measurement criteria is Xie Beni Index. Research data obtained by questionnaire on RITA Pasaraya Cilacap with 10 psikografik variables. Results of the research, consumer segmentation more accurate if grouped into 2 clusters. The final result is respondents in cluster 1 more attention to low price levels, complete goods, big discounts, satisfactory service, strategic location, roomy parking, comfortable for shopping, adequate public facilities, complete payment facilities, and cleaner room than to respondents in cluster 2. Basically, similar profiles cluster in cluster 1 and cluster 2. Mainly RITA Cilacap Supermarkets are women, with the range age of 16-29 years, with a frequency of shopping 2-4 times per month. Only last education and income are different. In cluster 1, dominated b senior high school with income of 2-5 million every month,  and in  cluster 2 dominated by  bachelor with income <2 million every month.
ANALISIS ANTRIAN PASIEN RAWAT INAP BERDASARKAN SPESIALISASI PENYAKIT DI RSUP Dr KARIADI SEMARANG Rahayu, Anisa Alfiani; Sugito, Sugito; Sudarno, Sudarno
Jurnal Gaussian Vol 2, No 4 (2013): 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 (307.147 KB) | DOI: 10.14710/j.gauss.v2i4.3766

Abstract

The arrival rate of inpatients at the Dr Kariadi Hospital very much in every day, either derived from poly outpatient and the ER (emergency room). With limited bed capacity, the hospital often refer patients to the hospital inpatient others who still have bed capacity. But many patients who do not want to refer to others hospitals and they will waiting for a inpatient ward. Therefore, it is necessary to determine the queuing system model according to the conditions and characteristics of the queue service facilities in Dr Kariadi hospital based specialization disease patients. Based on the analysis of data obtained for each specialization disease models queuing system that occurs in hospital based specialties Dr Kariadi hospital disease is (M / M / c): (GD / ∞ / ∞) and the model of the queue at the payment system is (M / M / 4): (GD / ∞ / ∞). Number of inpatient services by specialist have been effective because of the amount of each disease have many specialists. As for the payment / checkout number of officers who perform duties detailed breakdown of costs need to be added so that patients who come do not wait too long to get service.
ANALISIS ANTRIAN RAWAT JALAN POLIKLINIK LANTAI 1, LANTAI 3 DAN PENDAFTARAN RSUP Dr. KARIADI SEMARANG Vita Dwi Rachmawati; Sugito Sugito; Hasbi Yasin
Jurnal Gaussian Vol 2, No 4 (2013): 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 (610.151 KB) | DOI: 10.14710/j.gauss.v2i4.3807

Abstract

Hospital is an organization social and health that provides complete (comprehensive), the healing of disease (curative) and disease prevention (preventive) to the public. Hospital quality can be know from the professionality hospital personnel, efficiency, and effectiveness of services.The duration of registration procedure  and service for doctor consultation can affect patient satisfaction of Outpatient Hospital Dr. Kariadi Semarang in obtaining health care. Therefore, it’s necessary queuing models that suitable. so as to obtainable an effective service, balance and efficient which can reduce the long queues and long waiting time. From the analysis, obtainable queuing models at the registration that is (M/M/8):(GD/∞/∞) with the counter number 8 server. In the vct-cst polyclinic and child development polyclinic the model is (M/M/1):(GD/∞/∞) with the number of server 1 doctor while for the nervers polclinic, child health, internal disease, gynecologic and obstetrics, cdc, general surgery, hemodialysis and kb, fertility and the test tube babies that is (M/M/c): (GD/∞/∞) with the number of servers depending on each clinic.
ANALISIS PREFERENSI SISWA SMA DI KOTA SEMARANG TERHADAP PROGRAM STUDI DI PERGURUAN TINGGI DENGAN METODE CHOICE-BASED CONJOINT Anggreani, Dini; Mukid, Moch. Abdul; Rusgiyono, Agus
Jurnal Gaussian Vol 2, No 4 (2013): 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 (445.987 KB) | DOI: 10.14710/j.gauss.v2i4.3789

Abstract

This research aims to determine the design of study program that has the biggest opportunity to be chosen by the students. One method can be used to determine the preferences of high school students on existing study program in college is choice-based conjoint method. Variables used in this research are a minimum value of accreditation of selected study program that consist of three categories (A, B, and C), field of science study program that consist of two categories (exact sciences and not exact sciences), type of study program that consist of two categories (educational and not educational), and education level that consist of three categories (S1, D4, and D3). Data analysis techniques used in the choice-based conjoint method is conditional logit model. Variables order starting from the biggest contribution in influencing students preferences is accreditation of study program, level of education, type of study program, and field of science. The design of study program most likely to be chosen by the students is a study program with accreditation A, not exact sciences field, not educational type, and S1 level.

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