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INDONESIA
E-Jurnal Matematika
Published by Universitas Udayana
ISSN : 23031751     EISSN : -     DOI : -
Core Subject : Education,
Mathematics
E-Jurnal Matematika merupakan salah satu jurnal elektronik yang ada di Universitas Udayana, sebagai media komunikasi antar peminat di bidang ilmu matematika dan terapannya, seperti statistika, matematika finansial, pengajaran matematika dan terapan matematika dibidang ilmu lainnya. Jurnal ini lahir sebagai salah satu bentuk nyata peran serta jurusan Matematika FMIPA UNUD guna mendukung percepatan tercapainya target mutu UNUD, selain itu jurnal ini terbit didorong oleh surat edaran Dirjen DIKTI tentang syarat publikasi karya ilmiah bagi program Sarjana di Jurnal Ilmiah. E-jurnal Matematika juga menerima hasil-hasil penelitian yang tidak secara langsung berkaitan dengan tugas akhir mahasiswa meliputi penelitian atau artikel yang merupakan kajian keilmuan.
Arjuna Subject : -
Articles 14 Documents
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Search results for , issue "Vol 7 No 3 (2018)" : 14 Documents clear
OPTIMALISASI PENGGUNAAN ELSE-U UNTUK MATEMATIKA KONSEPTUAL LUH PUTU IDA HARINI; KARTIKA SARI; EKA N. KENCANA
E-Jurnal Matematika Vol 7 No 3 (2018)
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.2018.v07.i03.p217

Abstract

Udayana University is one of the universities that have developed an e-learning system that is coupled with the IMISSU (Integrated Management Information System of the Udayana) system and is known as the ELSE-U (E-Learning Smart and Elegant of Udayana). This system was built with the aim of accommodating online lectures. But in reality there are still many lecturers, especially in the Mathematics Department who have not utilized the learning media. Many reasons related to the media have not been utilized. In this study, a material development strategy and learning using ELSE-U will be initiated for conceptual mathematics material in order to obtain optimal benefits. In addition, the measurement of the level of acceptance and use of the utilization of ELSE-U in learning is carried out using the Technology Acceptance Model (TAM) method. The results showed that the internal and external factors of students did not affect the perceived ease of use in the use of ELSE-U, organizational factors (study programs, faculties, and universities) had a significant effect on perceived usefulness and perceived ease of use in the use of ELSE-U, while student behavior in addressing the use of ELSE-U has a significant effect on students' intention to use it.
PERHITUNGAN NILAI GARANSI MINIMUM MANFAAT KEMATIAN PADA ASURANSI UNIT-LINK NI KOMANG AYU SEDANA DEWI; I NYOMAN WIDANA; LUH PUTU IDA HARINI
E-Jurnal Matematika Vol 7 No 3 (2018)
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.2018.v07.i03.p208

Abstract

The guarantee minimum on unit-linked insurance applies only to the most extreme situations of very bad rate of return on the fund’s policyholders. One of the investment guarantees commonly used in unit-link is guaranteed minimum death benefit (GMDB). The final value under unit-linked insurance contracts can be expressed in terms of options that can be calculated using the Black-Scholes-Merton method. The purpose of this study is to determine the effect of age to the guarantee minimum value calculated using the Black-Scholes-Merton method. The calculation of GMDB value based on case simulation in this study resulted that the increasing age of the insured the greater the minimum guarantee value to be obtained.
PERAMALAN MENGGUNAKAN METODE BACKPROPAGATION NEURAL NETWORK MADE NITA DWI SAWITRI; I WAYAN SUMARJAYA; NI KETUT TARI TASTRAWATI
E-Jurnal Matematika Vol 7 No 3 (2018)
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.2018.v07.i03.p213

Abstract

The purpose of the study is to forecast the price of rice in the city of Denpasar in 2017 using backpropagation neural network method. Backpropagation neural network is a model of artificial neural network by finding the optimal weight value. Artificial neural networks are information processing systems that have certain performance characteristics similar to that of human neural networks. This analysis uses time series data of rice prices in the city of Denpasar from January 2001 until December 2016. The results of this research, concludes that the lowest rice price is predicted in July 2017 at Rp9791.5 while the highest rice price in April 2017 for Rp9839.4.
MENGKLASIFIKASIKAN DESA PERKOTAAN DAN DESA PERDESAAN DI KABUPATEN KLUNGKUNG MENGGUNAKAN METODE MAMDANI NI KADEK SUMARWATI; G.K. GANDHIADI; TJOKORDA BAGUS OKA
E-Jurnal Matematika Vol 7 No 3 (2018)
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.2018.v07.i03.p204

Abstract

According to Bureau of Statistic, village can be classified into urban and rural village. This classification is useful for planning development, such as security, health, and agriculture plans which have the roles of rural urban linkages. This classification also useful for divide a village into villages. In this research the villages in Klungkung Regency will be classified into urban and rural villages using Mamdani method. The result of classification using Mamdani method is 52 villages classified into urban village and seven villages classified into rural village which has an accuracy of 93% between the Mamdani method output with the original data in 59 villages in Klungkung Regency.

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