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All Journal Jurnal Gaussian Jurnal Statistika Universitas Muhammadiyah Semarang

Yuciana Wilandari

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Author-ID : 475549

Decision Sciences, Operations Research & Management Other

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PENGGUNAAN METODE PROJECTED UNIT CREDIT DAN ENTRY AGE NORMAL DALAM PEMBIAYAAN PENSIUN Ayu Hapsari Budi Utami; Yuciana Wilandari; Triastuti Wuryandari
Jurnal Gaussian Vol 1, No 1 (2012): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

One effort to anticipate the risk of old age is to include every worker in a pension plan. From that pension plan, workers will get a pension benefit at retirement. Before reaching retirement age, there should be an actuarial cost, which includes the normal cost and actuarial liabilities. Both are calculated using actuarial cost methods. Actuarial cost methods are divided into two major categories, are Accrued Benefit Cost Method and Projected Benefit Cost Method. One example of the methods included in Accrued Benefit Cost Method is Projected Unit Credit Method, and one of the methods included in Projected Benefit Cost Method is Entry Age Normal Method. The data used in this thesis are secondary data from PT Taspen (Persero) KCU Semarang. The results of the calculation shows normal cost using Projected Unit Credit method continues to increase with increased salary. Whereas if using Entry Age Normal Method the same amount for each year on an employee. Besides, actuarial liability using Projected Unit Credit Method is smaller than using Entry Age Normal for each employee in each year.

PEMODELAN PERTUMBUHAN EKONOMI JAWA TENGAH MENGGUNAKAN PENDEKATAN LEAST ABSOLUTE SHRINKAGE AND SELECTION OPERATOR (LASSO) Feby Kurniawati Heru Prabowo; Yuciana Wilandari; Agus Rusgiyono
Jurnal Gaussian Vol 4, No 4 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The economic growth recently become more important because of its implementation widely, the economic growth concept is a measure of country or regional economy valuation. The economic growth data in this research that is measured by Gross Regional Domestic Product (GRDP) are susceptible of multicollinearity. Multicollinearity become a problem in regression analysis, especially in Ordinary Least Square (OLS) because it causes the regression coefficient estimates become not efficient. One of method to overcome multicollinearity is using Least Absolute Shrinkage and Selection Operator (LASSO). LASSO is a shrinkage method to estimate regression coefficients by minimazing residual sum of squares subject to a constraint. Because of that constraint, LASSO can shrinks coefficients towards zero or set them to exactly zero so it can do variable selection too. Based on Variance Inflation Factor (VIF), there are high correlations between predictor variables, so there is multicollinearity in growth economic data of Jawa Tengah 2013 if we use OLS. In this research, LASSO shrinks eleven coefficients estimator of predictor variables to exactly zero, so that variables considered to have not a significant influence toward model. Keywords : LASSO, Multicollinearity, Shrinkage, Gross Regional Domestic Product (GRDP)

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

PERHITUNGAN PEMBIAYAAN DANA PENSIUN DENGAN METODE ATTAINED AGE NORMAL DAN PROJECTED UNIT CREDIT (STUDI KASUS : PT. TASPEN (PERSERO) KANTOR CABANG UTAMA SEMARANG) Musandingmi Elok Nurul Islam; Yuciana Wilandari; Suparti Suparti
Jurnal Gaussian Vol 5, No 3 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Welfare in the future is something that all people dreamed, including goverment employees. As a government's concern for welfare in the future for the goverment employees so the government give pension program. The pension program will give pension benefit to the goverment employees on their retirement age. Pension funding requires actuarial computation which normal cost and actuarial liability. Actuarial computation is divided into two major parts, Accrued Benefit Cost Method and Projected Benefit Cost Method. One of Accrued Benefit Cost Method example is Projected Unit Credit and for the Projected Benefit cost one of the method is Attained Age Normal. This research uses secondary data from PT. TASPEN (Persero) KCU Semarang. Computation result shows on the both second normal cost the method tends to increase each year. Projected Unit Credit Method exhibits substansial increment, meanwhile on Attained Age Nornal Method the increment is relatively slow. The amount of both second actuarial liability method will always increase each year, by using Attained Age Normal Cost produces bigger actuarial liability than Projected Unit Credit Method. Projected Unit Credit Method give final normal cost less than Attained Age Nornal Method. Keywords: Pension, Normal Cost, Actuarial liability, Attained Age Normal, Projected Unit Credit.

PENGELO MPOKAN KUALITAS UDARA AMBIEN MENURUT KABUPATEN/KOTA DI JAWA TENGAH MENGGUNAKAN ANALISIS KLASTER Rizki Taher Dwi Kurniawati; Rita Rahmawati; Yuciana Wilandari
Jurnal Gaussian Vol 4, No 2 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Ambient air is free of air inhaled daily by living creatures. Ambient air quality can be said to be decreased which is known from the results of measuring the quality of ambient air. The measurements carried out on residential areas, industrial areas, and traffic congested area and to SO2, NO2, CO, and HC. To help find solutions used cluster analysis of air pollution. Cluster analysis classifying objects based on object similarity. Similarities object seen by the small size of the Euclidean distance. The process of clustering with average linkage method performed on the data type of the region and type of pollutants. Clustering process produces two clusters for different kinds of land and 2 clusters for these types of pollutants. From the analysis on the type of region, cluster 1 is composed of 33 districts/cities with the results of measuring between 507 to 6760 can be said to have a good air quality conditions and in cluster 2 consists of two districts/cities with the results of measuring 11856.6 and 10594.8 is said to have poor air quality conditions. On the type of pollutant, Cluster 1 consists of 34 districts/cities with the measuring between 30 to 10810 which is said to have good air condition and the second cluster consists of one district/cities that have poor air conditions with a value of 20095 HC pollutants Keywords: ambient air, euclidean, average linkage, cluster analysis.

ANALISIS SISTEM ANTRIAN PELAYANAN NASABAH BANK X KANTOR WILAYAH SEMARANG Prizka Rismawati Arum; Sugito Sugito; Yuciana Wilandari
Jurnal Gaussian Vol 3, No 4 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Waiting is very boring for many people because it will only waste a lot of their time. This situation is common happen in a queue, for example customers who will conduct the transaction in the bank. Bank X Semarang Regional Office is the largest branch of Bank X is in Semarang is also not free from this problem. Therefore, the queuing model search is very important in order to improve the quality of service to customers / clients. Based on the analysis of data in the Customer Service and Teller obtained the appropriate queuing models which, for Customer Service and Public Teller queuing model is (M / M / 6): (GD / ∞ / ∞) queuing model for the Teller Express is (M / M / 2): (GD / ∞ / ∞) and for Special Teller model of the queue is (M / G / 1): (GD / ∞ / ∞). Based on the calculations and analyzes that have been done, it can be concluded that the customer service system to the Customer Service and teller at Bank X Semarang Regional Office has been good. Keywords: Queue, Queuing System Model, Bank, Customer Service, Teller.

ANALISIS VARIAN DUA FAKTOR DALAM RANCANGAN PENGAMATAN BERULANG ( REPEATED MEASURES ) Alif Hartati; Triastuti Wuryandari; Yuciana Wilandari
Jurnal Gaussian Vol 2, No 4 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The experimental design is a series of tests, both using descriptive statistics and inferential statistics that aims to transform the input variables into an output which is the response of the experiment. In one study, the response sometimes observed in every experiment performed more than once at different times during the study called with Repeated Measures. Observation time as if viewed as an additional factor, resulting in a repeated measures seen as a two-factor design with split-plot patterns. Factors that attempted allocated as main plots and allocated observation time as a subplot. Step-by-step analysis to test the normality of the error, test the homogeneity of variance, determine the degrees of freedom, sum of squares and mean squares of each factor. The next hypothesis to test for factor a, factor b and interaction affect both whether the observed response. If any effect, it is necessary to further test the Duncan test. The data used are secondary data on the effect of temperature, time of observation and interaction both the amylase enzyme produced by the bacterium bacillus subtilis. Results obtained by the analysis of temperature, time of observation and interaction both significantly influence the observed response.

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENERIMAAN PESERTA DIDIK SMA NEGERI 2 SEMARANG MENGGUNAKAN METODE REGRESI LOGISTIK ORDINAL Galuh Riani Putri; Yuciana Wilandari; Triastuti Wuryandari
Jurnal Gaussian Vol 5, No 3 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Education can be used to determine the standard quality of life. One way to get an education is studying in the schools. In Semarang, there are several schools, one of which is SMAN 2 Semarang. In order to pass the admission selection of students at SMAN 2 Semarang, students must fulfill the requirements that had specified by the school. To determine the factors that affect the acceptance of students, the author uses ordinal logistic regression method. Ordinal logistic regression method is used to model the relationship between the response variable that consists of more than two categories and there are levels in that category with several independent variables that are categories or continuous. After doing research using ordinal logistic regression method, the result is that the factors that affect the acceptance of students of SMAN 2 Semarang is Indonesian scores, English scores, Mathematics scores, Science scores, Benefit scores, Achievement scores and also Rayon with the accuracy of the classification by 89, 63%. Keywords: Education, Admission of Students, Ordinal Logistic Regression

PERBANDINGAN METODE VARIANCE COVARIANCE DAN HISTORICAL SIMULATION UNTUK MENGUKUR RISIKO INVESTASI REKSA DANA Bayu Heryadi Wicaksono; Yuciana Wilandari; Agus Rusgiyono
Jurnal Gaussian Vol 3, No 4 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

One of the instruments of financial assets are investments in mutual funds. Every day of the total fair value of the assets in the mutual fund is always changing because the market value of each type of asset that is changing. Thus causing mutual fund has a risk. It is necessary for the measurement of risk in mutual funds using the Value at Risk (VaR). There are three methods of calculating the VaR Variance-covariance method, Monte Carlo simulation methods and methods Historical Simulation. In this study, the variance-covariance method used and the Historical Simulation method to measure potential losses on investments largest mutual fund shares at 95% confidence level. The test used is the Kolmogorov-Smirnov normality test and Kupiec test return data to test the accuracy of the calculation of VaR. Because the data are not normally distributed returns, the adjustment is then performed using the Cornish-Fisher Expansion. By using the t test results show that the calculation of VaR with variance-covariance and Historical Simulation did not differ significantly. The test results show that the accuracy of the VaR VaR accurately all used to measure the magnitude of the maximum potential loss on investments in mutual fund shares. Keywords : Value at Risk (VaR), Variance-covariance, Historical Simulation, Mutual Fund, Risk.

ANALISIS PENGENDALIAN KUALITAS MENGGUNAKAN DIAGRAM KENDALI DEMERIT (Studi Kasus Produksi Air Minum Dalam Kemasan 240 ml di PT TIW) Gita Suci Ramadhani; Yuciana Wilandari; Suparti Suparti
Jurnal Gaussian Vol 3, No 3 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The efforts to maintain and improve the quality of the resulting product with statistical process control. Demerit control chart is a control chart in which the defect type is categorized into several classes according to the level of disability interests. Types of defects in the production processes of bottled water 240 ml in PT TIW divided into critical defects, major defects and minor defects. Based on the results of the analysis that has been done shows that the production process has been controlled statistically using demerit control charts on the third iteration for each line 1 and line 2. Capability of production processes in line 1 and line 2 shows that although the production process has been controlled statistics, but the process still produces a product that is not in accordance with specifications. But in the end all defective products are produced, will be immediately discarded and will not be marketed or sold to the consumer. This is done for the commitment PT TIW who always maintain the best quality products. Based on pareto chart for this type of defect on line 1 and line 2, it is known that 20% of the total types of defects, obtained two types of defects which constitute 80% of disability of the entire production process. The defect type is slanted lid and reject filler. The factors that cause this type of defect are slanted lid and reject filler among others, there is a worn machine components and uncorrect machine settings, the operator has not been retrained and lack of focus so not accordance with the procedure in the work, the composition of the materials is uncorrect, and methods or procedures are less well executed.

Co-Authors Abdul Hoyyi Adhitya Ronnie Effendie, Adhitya Ronnie Afifah Alrizqi Agus Rusgiyono Aisha Shaliha Mansoer Alfiyatun Rohmaniyah Alif Hartati Ariyo Kurniawan Ayu Hapsari Budi Utami Bayu Heryadi Wicaksono Candra Silvia Dhinda Amalia Timur Diah Budiati Diah Safitri Dini Puspita Dwi Ispriyanti Feby Kurniawati Heru Prabowo Fiki Farkhati Fitrian Fariz Ichsandi Galih Maraseta W H Prasaja Galuh Riani Putri Gita Suci Ramadhani Gustriza Erda Hasbi Yasin Iantazar Rezqitullah Maharsi Icha Puspitasari Indradewa, Rhian Iyan Antono Kelik Isbiyantoro Lintang Ratri Wardhani Maharani Febriana Putri Maralika Yundya Sari Marlia Aide Revani Marta Widyastuti Moch. Abdul Mukid Muh Najib Hilmi Muhammad Fitri Lutfi Anshari Musandingmi Elok Nurul Islam Niken Nindyaiswari Novia Dian Ariyani Prizka Rismawati Arum Rahayu Ningtyas Ratih Binadari Rita Rahmawati Rizki Taher Dwi Kurniawati Rosita Wahyuningtyas Rukun Santoso Safitri Daruyani Siti Lis Ina Atul Hidayah Sudarno Sudarno Sugito Sugito Suparti Suparti Tarno Tarno Tatik Widiharih Taufan Fahmi Tina Diningrum Triastuti Wuryandari Tyas Estiningrum Wasis Wicaksono Wella Rumaenda Yuyun Naifular

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