Articles
<![CDATA[Analisis Premi dari Asuransi Pengangguran ]]>
<![CDATA[I Nyoman Widana]]>;
<![CDATA[Ketut Jayanegara]]>
<![CDATA[ Jurnal Matematika Vol 9 No 1 (2019) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JMAT.2019.v09.i01.p111
<![CDATA[Unemployment insurance is designed to overcome some of the financial problems faced by workers who have been involuntarily terminated from their jobs. The benefit insurance is financed based on the contributory from an employer, employee or government in recent times, some developing countries have been establishing unemployment insurance. This research aims to analyze the unemployment insurance products in Indonesia. Especially to analyze the financial viability of the product. The method used is the equivalence premium principle. Based on data sourced from BPJS Ketenagakerjaan and a claim rate of 10%, it is found that a premium rate of 5% of insured wages would support a benefit level of 50% of the wages for 43 weeks. This premium rate would also support 70% of the wages for 32 weeks. Meanwhile, the premium rate of 1% of the participant wages would guarantee a benefit level of 50% for 6 weeks.]]>
<![CDATA[Memodelkan Impor Beras Menggunakan Regresi Data Panel ]]>
<![CDATA[Eka N Kencana]]>;
<![CDATA[Darma Arnawa]]>;
<![CDATA[Ketut Jayanegara]]>
<![CDATA[ Jurnal Matematika Vol 10 No 2 (2020) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JMAT.2020.v10.i02.p130
<![CDATA[Abstract Rice is one of the world’s most important commodities. The Food and Agri-cultural Organizations estimates about 90 percent of the world’s rice is produced bycountries in the Asian continent with the rice production centers located in the ASEANregion. As an agricultural country, Indonesia is ranked third in the world rice producersafter China and India, and in the first rank of ASEAN rice producers. However, Indone-sia along with other producing countries in ASEAN also import rice. This article aimsto model rice imports from 5 ASEAN countries. Using data from FAO for the period2009–2018, 3 types of Panel Data Regression models were applied to model rice imports.The results of the analysis show Random Effect Model (REM) is the most appropriatemodel for rice imports in 5 ASEAN countries with the difference for two consecutiveyears import, consumption, and rice production was used as explanatory variables .Keywords: import, panel data, random effect, regression, rice.]]>
<![CDATA[Analisis Komponen Biaya Asuransi Jiwa Dwiguna (Endowment) ]]>
<![CDATA[Desak Nyoman Trisnawati]]>;
<![CDATA[I Nyoman Widana]]>;
<![CDATA[Ketut Jayanegara]]>
<![CDATA[ Jurnal Matematika Vol 4 No 1 (2014) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JMAT.2014.v04.i01.p41
<![CDATA[Asuransi adalah suatu istilah penyediaan jasa yang bergerak dalam bidang pertanggungan atau perlindungan. Seseorang yang telah mengasuransikan dirinya akan menyetujui kontrak yang disebut dengan polis. Di Indonesia terdapat beberapa jenis asuransi jiwa, salah satunya adalah asuransi jiwa dwiguna. Asuransi jiwa dwiguna adalah asuransi jiwa yang kepada tertanggung akan diberikan sejumlah uang pada akhir asuransi sesuai dengan polis. Jika tertanggung meninggal selama masa asuransi atau setelah akhir asuransi, kepada tertanggung akan diberikan uang sebesar uang pertanggungan. Untuk memenuhi pertanggungan, akan dibayarkan sejumlah uang yang disebut dengan premi. Premi terdiri dari premi netto dan premi bruto, premi netto adalah premi yang perhitungannya hanya berdasarkan faktor mortalita, sedangkan premi bruto adalah gabungan dari premi netto dengan faktor-faktor lain seperti faktor biaya. Penelitian ini membahas tentang analisis komponen biaya pada asuransi jiwa dwiguna. Komponen dari biaya asuransi jiwa dwiguna ini adalah biaya penutupan awal, biaya pengumpulan premi dan biaya pemeliharaan.Semua perhitungan aktuaria menggunakan tabel CSO 1980 dengan bunga 9%. Dengan menerapkan metode Eliminasi Gauss Jordan besarnya komponen biaya dari asuransi jiwa dwiguna masing-masing, biaya penutupan awal sebesar dan , biaya pengumpulan premi sebesar 0,075 dan biaya pemeliharaan sebesar 2.]]>
<![CDATA[EVALUASI KINERJA JARINGAN SYARAF TIRUAN PADA PERAMALAN KONSUMSI LISTRIK KELOMPOK TARIF RUMAH TANGGA ]]>
<![CDATA[I Putu Eka N. Kencana]]>;
<![CDATA[Ketut Jayanegara]]>
<![CDATA[ Jurnal Matematika Vol 2 No 1 (2012) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JMAT.2012.v02.i01.p22
<![CDATA[Many methods have been applied in forecasting technics, varied fromStatistical Forecasting Methods (SFM) or Mathematical Modelling and ForecastingMethods (MMFM) to Artificial Neural Methods (ANM). This research aimedto implement and evaluate performance of Artificial Neural Network (ANN), onemethod in ANM group; for forecasting electricity consumption by household inProvince of Bali. This research used electricity consumption data from January2001 to December 2009 as basis for network’s training and validating its result.The actual data from January to December 2010 is used to evaluate the performanceof network prediction. Research shows the Mean Absolute Prediction Error(MAPE) of the ANN’s prediction is 7,56%.]]>
<![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.]]>
