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Kota ambon,
Maluku
INDONESIA
VARIANCE : Journal of Statistics and Its Applications
Published by Universitas Pattimura
ISSN : 26858738     EISSN : 2685872X     DOI : -
Core Subject : Education,
Jurnal ini diterbitkan oleh Program Studi Statistik Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pattimura, Ambon. Jurnal ini diterbitkan 2 kali pada bulan Juni dan Desember.
Arjuna Subject : -
Articles 5 Documents
ANALISIS PENGARUH DAERAH ASAL SMA TERHADAP NILAI UJIAN MAHASISWA DENGAN MENGGUNAKAN UJI WALD-WOLFOWITZ Lendert, Rola M.; Aulele, S. N.; Lesnussa, Y. A.
VARIANCE : Journal of Statistics and Its Applications Vol 1 No 1 (2019)
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (485.104 KB) | DOI: 10.30598/variancevol1iss1page11-15

Abstract

Origin is a factor that influences one's behavior about the value of the Mathematics Student's exam that comes from the Ambon city area and outside the city of Ambon. In this research, the method used to look at two independent samples is the Wald-Wolfowitz Test in the academic year 2016/2017. The purpose of this study to determine the influence of the origin of high school to the value of the middle exam of Elementary Linear Algebra in Department Mathematics FMIPA Unpatti. The result shows that there is no difference in the middle exam of Elementary Linear Algebra value between students who are in Ambon city and students who are outside Ambon city.
PEMODELAN FAKTOR - FAKTOR PENYEBAB KEPARAHAN KORBAN KECELAKAAN LALU LINTAS DI KOTA AMBON DENGAN MENGGUNAKAN MODEL REGRESI LOGISTIK MULTINOMIAL Miranti, Miranti; Rumlawang, F. Y.; Kondolembang, F.
VARIANCE : Journal of Statistics and Its Applications Vol 1 No 1 (2019)
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (639.46 KB) | DOI: 10.30598/variancevol1iss1page17-26

Abstract

Traffic accidents are one of the main causes of the highest increase in mortality in Indonesia. This problem needs attention to anticipate the fall of the death toll in a traffic accident. So in this study, there are response variables and several predictor variables. The purpose of this study was to find out what factors influence the severity of traffic accident victims in Ambon city based on categories and model the severity of traffic accident victims in Ambon city based on significant factors using the Multinomial Logistic Regression method. In this study, the results obtained are factors that significantly affect the severity of the traffic accident victims are sex variables (X1), age (X1), education (X3) and type of vehicle (X5).
MODEL REGRESI LINIER DENGAN METODE BACKWARD DAN FORWARD Noya Van Delsen, M. S.; Patty, H. W. M.; Lalurmele, N.
VARIANCE : Journal of Statistics and Its Applications Vol 1 No 1 (2019)
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (616.488 KB) | DOI: 10.30598/variancevol1iss1page1-10

Abstract

Obligations are undertaken by the community before claiming their rights as citizens one of them is by paying taxes. Local tax is a compulsory fee imposed by the local government that is forced and used as much as possible to run the government. In determining the regression model, the factors involved by local taxes are Gross Regional Domestic Product (GRDP), Inflation and Population. The discussion in this research is about the comparison of a backward and forward method on multiple linear regression, and make a model with the program expected to be used to model the regression model on local taxes appropriately. Comparison of a regression model based on the GRDP in Ambon method backward and forward processed with the help of SPSS produce a model of the same, that is . The regression model generated by the method backward and forward involves only one variable (GRDP) with the value of R2 the same is equal to, 0,972 or 97.2%. So there is no difference between the regression model using either method backward or forward.
PEMODELAN REGRESI NONPARAMETRIK SPLINE TRUNCATED PADA FAKTOR-FAKTOR YANG MEMPENGARUHI PERTUMBUHAN EKONOMI DI PROVINSI MALUKU Matdoan, Muhammad Yahya; Balami, A. M.; Talakua, M. W.
VARIANCE : Journal of Statistics and Its Applications Vol 1 No 1 (2019)
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (636.671 KB) | DOI: 10.30598/variancevol1iss1page27-37

Abstract

Economic growth is a benchmark for the success of a region's development, especially in the economic field. The purpose of economic development in an area is basically to improve the welfare and prosperity of the community. Economic growth in Maluku Province experienced a positive increase. However, there is still a disparity between districts/cities in Maluku Province, which has an impact on increasing unemployment and an increasingly poor population. This is inseparable from the influencing factors so that it can be precisely done by modeling these factors using the truncated nonparametric spline regression method. the advantages of this method occur because in nonparametric spline truncated regression has knot points, which are joint fusion points that indicate changes in data behavior patterns. Besides, this method can be used to model data patterns that change at certain sub-intervals. The best model is very dependent on determining the optimal knot point by using the minimum Generalized Cross-Validation (GCV) value. The results obtained in this study were the highest percentage of economic growth in Maluku Province, Ambon City with a percentage of 6.17%, and the lowest economic growth was in the East Seram District (SBT) with a percentage of 5.03%. Furthermore, the best model is obtained with a model with three knots and a GCV value of 11.61, a value of 2 of 0.94 and an MSE value of 0.005. This means that statistically, the variables used in this study affect economic growth by 94%. While the rest is influenced by other variables outside the research.
PERHITUNGAN PREMI DENGAN PENERAPAN DEDUCTIBLE PADA MODEL AKTUARIA UNTUK SICKNESS INSURANCE PERTANGGUNGAN SATU TAHUN Lewaherilla, Norisca; Haumahu, G.
VARIANCE : Journal of Statistics and Its Applications Vol 1 No 1 (2019)
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (503.081 KB) | DOI: 10.30598/variancevol1iss1page39-45

Abstract

Health insurance is an insurance product that provides benefits if the insured is exposed to the risk of an accident or illness and causes loss of income, thus requiring costs. The most important benefit in this study from sickness insurance is the reimbursement of medical expenses. The design of determining premiums by applying deductibles (flat deductibles) is seen as one of the insurance policy policies that meet the principles of determining premiums. The actuarial aspects considered in the health insurance model in this study for the calculation of premiums relating to the type of insurance benefits with expense reimbursement for a period of one year coverage, with due regard to the type of work. The purpose of this study is to see the applied of deductible to the premiums that must be paid to insurance companies that provide benefits for claims submitted. The policy of applying deductibles certainly makes the amount of reimbursement change.

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