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<![CDATA[PENENTUAN PREMI DAN CADANGAN PADA ASURANSI PENDIDIKAN DENGAN MEMERHATIKAN PELUANG HIDUP ANAK ]]>
<![CDATA[NI LUH DE SISKA SARI DEWI]]>;
<![CDATA[I NYOMAN WIDANA]]>;
<![CDATA[KETUT JAYANEGARA]]>
<![CDATA[ E-Jurnal Matematika Vol 10 No 4 (2021) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/MTK.2021.v10.i04.p350
<![CDATA[Education insurance provides services in the field of education. In education insurance, the insured not only gets protection benefits but also education funds. These benefits will be received if they have paid premiums. Insurance companies also need to set the exact amount of policy value. The purpose of this study is to determine the premium and policy value of education insurance by taking into account the child's life chances. In this study, used secondary data from the 2011 Indonesian Mortality Table and illustrated data in the form of education fund data. Premium is obtained using the equivalence principle and policy value is obtained using the prospective method. In the calculation of premiums and policy values for education insurance premiums by taking into account the child's life chances, modifications are made, the amount of education funds multiplied by the child's life chances. The results given in this study are the amount of education insurance premium by taking into account the child's life chances is Rp 6.946.456,00. Policy value increases during the disbursement of education funds and decreases at the end of coverage.]]>
<![CDATA[PENENTUAN CADANGAN PREMI UNTUK ASURANSI PENDIDIKAN ]]>
<![CDATA[MADE PUTRI ARIASIH]]>;
<![CDATA[KETUT JAYANEGARA]]>;
<![CDATA[I NYOMAN WIDANA]]>;
<![CDATA[I PUTU EKA N. KENCANA]]>
<![CDATA[ E-Jurnal Matematika Vol 4 No 1 (2015) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/MTK.2015.v04.i01.p082
<![CDATA[This aims of this research is determine the insurance premium reserve for education with retrospective calculations and determine the premium reserves who acquired during the period of guarantee for insurance education. This research observes the premium reserve for persons aged 40 years with a coverage period of 17 years. The secondary data used is an education insurance data product from the insurance company that issued the insurance product. Premium reserve is determined by using the retrospective calculation, the calculation using the annuity value, net single premium value, net annual premiums, the value of net monthly premium, CSO 1980 mortality and fixed interest rate at 9%. Retrospective calculations produce a faster value backup and sequentially in each year. The results showed that the premium reserve with retrospective calculation should be close up to the cash price owned by insurance company and must be the same at the end of the insurance period is Rp 7.000.000,00.]]>
<![CDATA[APLIKASI ALGORITMA GENETIKA UNTUK MERAMALKAN KONSUMSI PREMIUM KOTA DENPASAR ]]>
<![CDATA[VICTOR MALLANG]]>;
<![CDATA[KETUT JAYANEGARA]]>;
<![CDATA[NI MADE ASIH]]>;
<![CDATA[I PUTU EKA N. KENCANA]]>
<![CDATA[ E-Jurnal Matematika Vol 3 No 4 (2014) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/MTK.2014.v03.i04.p079
<![CDATA[This research aimed to forecast the gasoline demand at Denpasar using genetic algorithm method. This algorithm was selected because of easy to implement and its ability to find acceptable solution quickly. This algorithm works by searching the best individu according to fitness function defined. The series data used in the research were 60 observations of monthly gasoline demand at Denpasar for period January 2009 through December 2013. By observing the Partial Autocorrelation Function (PACF) plot, we found the last lag before the series become stationer was sixth lag. Based on this finding, we decided the best individu was represented by six genes. This individu, in addition, was used to make in-sample forecasting. The forecasted data had mean absolute error (MAE) as much as 553,27 kiloliters. For one semester out-of sample forecast, we found gasoline consumption fluctuated with lowest and highest consumption were for February 2014 and June 2014, respectively.]]>
<![CDATA[ANALISIS PRODUK ASURANSI UNIT LINK DI INDONESIA ]]>
<![CDATA[I NYOMAN WIDANA]]>;
<![CDATA[KETUT JAYANEGARA]]>
<![CDATA[ E-Jurnal Matematika Vol 8 No 1 (2019) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/MTK.2019.v08.i01.p233
<![CDATA[This paper presents a unit-linked insurance which is a modern insurance. The policyholders will get benefits of insurances and investment. The aim of this research is to analysis of unit link insurance products in Indonesia. Especially to analysis the mortality cost, premium, return, and profit of the product. The method used is a stochastic profit testing method and the results of the study show that mortality cost offered by the three unit link companies selected as the sample of this study are greater than the insurance costs calculated based on the Indonesian Mortality Table. From comparing different unit linked insurance plans, only one plan is sufficient to fund the guarantee. While others have to do a Top-up premium.]]>
<![CDATA[PEMODELAN STRUKTURAL DARI EMOSI POSITIF SEBAGAI PEMEDIASI TERHADAP PEMBELIAN TIDAK TERENCANA ]]>
<![CDATA[NI WAYAN ARNI YANITA]]>;
<![CDATA[KETUT JAYANEGARA]]>;
<![CDATA[I PUTU EKA N. KENCANA]]>
<![CDATA[ E-Jurnal Matematika Vol 4 No 3 (2015) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/MTK.2015.v04.i03.p096
<![CDATA[Latent variables are variables that can not be observed directly. Latent variables can be observed with constituent indicators. One of the methods used to analyze the latent variables are Structural Equation Modeling (SEM). This research raised the case of impulse buying to be applied to the SEM method. Impulse buying influenced by the characteristics of the hypermarket, situational factors, the characteristics of the product, promotion and positive emotions. The purpose of this research was to determine the effect dari positive emotions as mediation to impulse buying.The results obtained indicate that positive emotions directly affect the impulse buying of 0.302, promotion directly affects the positive emotions of 0.367, and the promotion of indirect effect to impulse buying of 0.111. So positive emotions can mediate to impulse buying of 0.020. Goodness of fit mediation models not good with value 0.39.]]>
<![CDATA[FAKTOR-FAKTOR KEPUASAN PENGGUNA TERHADAP KUALITAS PELAYANAN DI TERMINAL MENGWI BADUNG ]]>
<![CDATA[ZANUAR SEPTYADI]]>;
<![CDATA[I GUSTI AYU MADE SRINADI]]>;
<![CDATA[KETUT JAYANEGARA]]>
<![CDATA[ E-Jurnal Matematika Vol 9 No 2 (2020) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/MTK.2020.v09.i02.p290
<![CDATA[Customer satisfaction is the level of customer feeling towards the evaluation of perceived discrepancies between performance or perceived results compared to expectations. Quality is the level of excellence expected to meet customer desires which is a dynamic condition related to products, services, people, processes and the environment that meets or exceeds expectations. Factor analysis is a multivariate analysis method based on correlations between variables. This study discusses the factors of customer satisfaction with service quality in the Mengwi Badung Station. The factors of user satisfaction with the quality of service at the Mengwi Badung Station are caring, physical condition, guarantee, reliability, and responsibility factors.]]>
<![CDATA[PERHITUNGAN PREMI ASURANSI JOINT LIFE DENGAN MODEL VASICEK DAN CIR ]]>
<![CDATA[I MADE WAHYU WIGUNA]]>;
<![CDATA[KETUT JAYANEGARA]]>;
<![CDATA[I NYOMAN WIDANA]]>
<![CDATA[ E-Jurnal Matematika Vol 8 No 3 (2019) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/MTK.2019.v08.i03.p260
<![CDATA[Premium is a sum of money that must be paid by insurance participants to insurance company, based on insurance contract. Premium payment are affected by interest rates. The interest rates change according to stochastic process. The purpose of this work is to calculate the price of joint life insurance premiums with Vasicek and CIR models. The price of a joint life insurance premium with Vasicek and CIR models, at the age of the insured 35 and 30 years has increased until the last year of the contract. The price of a joint life insurance premium with Vasicek model is more expensive than the premium price using CIR model.]]>
<![CDATA[PENERAPAN ALGORITMA GLOWWORM SWARM OPTIMIZATION PADA MODEL GEOGRAPHICALLY WEIGHTED REGRESSION DENGAN KERNEL ADAPTIF ]]>
<![CDATA[I GEDE HARDI KARMANA]]>;
<![CDATA[LUH PUTU IDA HARINI]]>;
<![CDATA[KETUT JAYANEGARA]]>;
<![CDATA[I PUTU EKA NILA KENCANA]]>
<![CDATA[ E-Jurnal Matematika Vol 9 No 1 (2020) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/MTK.2020.v09.i01.p282
<![CDATA[This study aimed to apply glowworm swarm optimization (GSO) algorithm as an alternate way to obtain optimal bandwidth in geographically weighted regression (GWR) model with adaptive kernel function. The result showed that GSO was able to obtain optimal bandwidth with lower cross validation (CV) value than the traditional way that was using k-nearest neighbor (KNN) algorithm. Unfortunately, the running time of GSO was far slower than KNN was.]]>
<![CDATA[IDENTIFIKASI FAKTOR-FAKTOR PEMICU KEKERASAN DALAM RUMAH TANGGA DI KOTA DENPASAR ]]>
<![CDATA[LAILY A.A. ARIFIANTI]]>;
<![CDATA[KETUT JAYANEGARA]]>;
<![CDATA[G.K. GANDHIADI]]>;
<![CDATA[EKA N. KENCANA]]>
<![CDATA[ E-Jurnal Matematika Vol 6 No 1 (2017) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/MTK.2017.v06.i01.p151
<![CDATA[Family or domestic violence is meant as a pattern of someone behavior that abuse his/or her power against another member(s) in a family or domestic setting. Knowing the underlying factors that trigger family violence are important to keep family members form a harmonious relationship. This work is aimed to elaborate those factors. By analyzing primary data from 120 respondents whom witness and well informed about family violence in their neighborhoods, factor analyzes is applied. Data are collected by using tested questionnaires. The results showed they were six underlying factors for family violence with total accounted for all factors were 65.19 percent. Those factors are (a) social relationship, (b) job description, (c) past experience, (d) supporting factor, (e) economics’ status, and (f) harmonious relationship level. From these factors, social relationship dominates the others with variance explained for family violence as much as 21.39 percent.]]>
<![CDATA[PENERAPAN HUKUM DE MOIVRE PADA PENENTUAN NILAI CADANGAN PREMI ASURANSI JIWA JOINT LIFE ]]>
<![CDATA[RIZKA AULIA NOVALINDA]]>;
<![CDATA[I NYOMAN WIDANA]]>;
<![CDATA[KETUT JAYANEGARA]]>
<![CDATA[ E-Jurnal Matematika Vol 11 No 1 (2022) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/MTK.2022.v11.i01.p355
<![CDATA[Joint life insurance is a single policy that covers two lives. The benefit is paid out when the first person dies. Insurance companies need to calculate and assign premiums and a policy value in order to know. the expected value of the future loss. The study used the quantitative data of mortality for men and women obtained from the Indonesian Mortality Table (TMI) 2011. Data analysis techniques use the New Jersey method of prospects and a legal approach of mortality that is De Moivre’s law. The purpose of this study is to determine policy value on joint life insurance that applies to De Moivre's laws and compare policy value on joint life insurance that applies De Moivre's laws and without the application of De Moivre's laws. Research shows that joint life insurance policy value with New Jersey methods of prospective and application of De Moivre's law always come into value smaller than those without an application of De Moivre's law, but at the end of period both are worth the same according to the value of their benefits.]]>
