Ratna Herdiana
Departemen Matematika, Universitas Diponegoro

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Penerapan Orbits Mode Data Fitting Untuk Kalibrasi Dipstick Jovian Dian Pratama; A Nafis Haikal; Ratna Herdiana; Susilo Hariyanto
Jurnal Pendidikan Matematika:Judika Education Vol 4 No 2 (2021): Jurnal Pendidikan Matematika:Judika Education
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/judika.v4i2.2576

Abstract

ABSTRACT The purpose of writing this article is to examine how mathematical literacy is during the Covid-19 period. The method used is to conclude theoretical studies by reviewing, analyzing, and concluding previous and developed research in the conditions of the Covid-19 pandemic. The author examines learning problems in the Covid-19 era related to mathematical literacy. The results of the study, mathematical literacy is related to real problems. The kinds of mathematical literacy are: spatial literacy, numeracy, and quantitative literacy or data literacy. In conclusion, the existence of learning barriers during the Covid-19 pandemic created solutions and learning strategies to improve mathematical literacy. Keywords: Covid-19, Mathematical Literacy, Pandemic
NUMERICAL SIMULATION OF STOCHASTIC DIFFERENTIAL EQUATIONS USING IMPLICIT MILSTEIN METHOD Ratna Herdiana
Journal of Fundamental Mathematics and Applications (JFMA) Vol 3, No 1 (2020)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1562.945 KB) | DOI: 10.14710/jfma.v3i1.7416

Abstract

Stiff stochastic differential equations arise in many applications including in the area of biology. In this paper, we present numerical solution of stochastic differential equations representing the Malthus population model and SIS epidemic model, using the improved implicit Milstein method of order one proposed in [6]. The open source programming language SCILAB is used to perform the numerical simulations. Results show that the method is more accurate and stable compared to the implicit Euler method.