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All Journal Jurnal Matematika E-Jurnal Matematika JOURNAL OF APPLIED INFORMATICS AND COMPUTING
I Putu Winada Gautama
Universitas Udayana
Computer Science & IT Mathematics

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Journal : E-Jurnal Matematika

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PERSEPSI KONSUMEN MINUMAN ISOTONIK DI KOTA DENPASAR I PUTU WINADA GAUTAMA; I PUTU EKA NILA KENCANA; LUH PUTU SUCIPTAWATI
E-Jurnal Matematika Volume 1, No 1, Tahun 2012
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2012.v01.i01.p007

Abstract

Isotonic beverages is a drink that has a composition and the same osmotic pressure of body fluids. One of isotonic fluid and electrolyte replacement for the missing body. The main properties caused by consuming isotonic drinks, among others, to restore power after the move which can be exhausting. Denpasar City community largely has activities/jobs that drain a lot of energy. This condition is asufficient condition for both the isotonic beverage market and have many opportunities to promote its products to the city of Denpasar. Therefore, in this study wanted to know the competition some isotonic drinks brands with a range of variables examined in this case represented the city of Denpasar with Multidimensional Scaling Analysis and using Biplot Analysis of the perceptual mapping.
PENGGUNAAN METODE PROJECTED UNIT CREDIT PADA ASURANSI PENSIUN GABUNGAN MODEL VASICEK DAN CIR FARREL WILLIEARDAN; I NYOMAN WIDANA; I PUTU WINADA GAUTAMA
E-Jurnal Matematika Vol 12 No 1 (2023)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2023.v12.i01.p398

Abstract

Pension plan is an investment plan offered by employee company or life insurance companies to help create retirement funds. This research attempts to estimate the normal cost that participants must pay as well as the actuarial liability that must be paid by the insurance company to the participants using Projected Unit Credit method. Projected Unit Credit method uses the present value of the pension benefit and divided it by participant’s years of service. stochastic interest such as the Vasicek model and the CIR model will be used as a comparison. The result of this research is that the estimation of the normal cost and actuarial liability with the CIR model is smaller than the Vasicek model in the initial year, but the CIR model experience a greater increase than the Vasicek model which causes the normal cost and actuarial liability with the CIR model more expensive than the Vasicek model at the end of the contract. Both premiums and the actuarial liabilities increase as participants age.
KLASIFIKASI TINGKAT KESEJAHTERAAN KELUARGA DI KECAMATAN SIDEMEN MENGGUNAKAN BOOTSTRAP AGGREGATING (BAGGING) REGRESI LOGISTIK ORDINAL I GUSTI NGURAH SENTANA PUTRA; MADE SUSILAWATI; I PUTU WINADA GAUTAMA
E-Jurnal Matematika Vol 12 No 2 (2023)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2023.v12.i02.p409

Abstract

This research was conducted to determine the variables that have a significant impact on the stages of a well-off family in Sidemen Sub-district based on indicators obtained from the BKKBN and to classify the stages of a well-off family. This study used secondary data obtained from the stage of well-being data, Sidemen Sub-district, Karangasem Regency from BKKBN, totaling 1796 families. The method used is ordinal logistic regression and bagging ordinal logistic regression. Based on the logit regression model of ordinal logistic regression and ordinal logistic regression bagging, there are fourteen variables that have a significant effect on the dependent variable, namely marital status, type of insurance, age of head of household, occupation of head of household, having a source of income, eating a variety of food, having savings, accessing information from online media, families have ever recreated together, families have ever participated in social/community activities, the largest type of floor, main source of drinking water, ownership of a house/building, and children are still in school. The classification accuracy level in testing data using the ordinal logistic regression method was 79.4%, while the classification accuracy level using the bagging ordinal logistic regression method with 50,000 replications was 82.78%, so bagging showed an increase in classification by 3.38%.
Co-Authors FARREL WILLIEARDAN Hermanto, Koko I GUSTI NGURAH SENTANA PUTRA I Made Eka Dwipayana I Nyoman Widana I Putu Eka Nila Kencana Made Susilawati Manurung, Mikael Triartama Ni Kadek Nova Anggarani Ni Luh Putu Suciptawati Putu Veri Swastika Wijayakusuma, I Gusti Ngurah Lanang