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    <title>DSpace Collection:</title>
    <link>http://repository.umnaw.ac.id/jspui/handle/123456789/2488</link>
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        <rdf:li rdf:resource="http://repository.umnaw.ac.id/jspui/handle/123456789/2581" />
        <rdf:li rdf:resource="http://repository.umnaw.ac.id/jspui/handle/123456789/2491" />
        <rdf:li rdf:resource="http://repository.umnaw.ac.id/jspui/handle/123456789/2490" />
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    <dc:date>2026-04-09T03:36:36Z</dc:date>
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  <item rdf:about="http://repository.umnaw.ac.id/jspui/handle/123456789/2581">
    <title>Improvement habits of minds in constructing mathematical proof using DNR-model</title>
    <link>http://repository.umnaw.ac.id/jspui/handle/123456789/2581</link>
    <description>Title: Improvement habits of minds in constructing mathematical proof using DNR-model
Authors: Mujib, Abdul; Firmansyah
Abstract: Abstract. This study aims to improve students' mind habits in constructing mathematical proof through DNR-Model. DNRModel consists of three main stages: Duality (how to understand and how to think), necessity, and repeated reasoning. This&#xD;
research is a quantitative study with a quasi-experimental design. The samples were then second-year students of the&#xD;
mathematics education department; the Muhammadiyah University of Tangerang consists of 60 students who were divided&#xD;
into two class groups. Two classes were selected as an experimental class that provides learning models for DNR-Model,&#xD;
and one other class as a control class that subjects are given conventional learning. The results showed that there aren't&#xD;
differences in the increase in the habits of minds of students in constructing mathematical proof based on MPK&#xD;
(Mathematical Prior Knowledge) levels of both high, medium, low, and overall learning based on DNR-Model and&#xD;
conventional learning. The experimental group's average n-gain habits of mind are 0.27, or the lower category than the&#xD;
average n-gain of the control group is 0.28 or the low category. The low Habits of Mind of students has less influence on&#xD;
the ability to construct mathematical proofs.</description>
    <dc:date>2022-07-20T00:00:00Z</dc:date>
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  <item rdf:about="http://repository.umnaw.ac.id/jspui/handle/123456789/2491">
    <title>Numerical Solution of SEIR Model of The MERS-CoV Disease using Homotopy Analysis Method</title>
    <link>http://repository.umnaw.ac.id/jspui/handle/123456789/2491</link>
    <description>Title: Numerical Solution of SEIR Model of The MERS-CoV Disease using Homotopy Analysis Method
Authors: Rangkuti, Y.M.; Firmansyah; Ginting,  E.; Landong, A
Abstract: The spread of MERS-Cov disease which was modelled by Susceptible Exposed&#xD;
Infected Recovered (SEIR) model has been solved by a reliable method so-called Homotopy&#xD;
Analysis Method (HAM). The solution using HAM is done by constructing the zero order&#xD;
deformation equation of SEIR model into a high order equation and selecting the convergence&#xD;
control (ℏ). The closeness of HAM and Fourth order Runge Kutta (RK4) solutions and also the&#xD;
existence of residual error showa benchmark of the success of the HAM. The result shows that&#xD;
the minimum errors of the closeness of HAM and fourth order Runge Kutta (RK4) solutions&#xD;
are 10−7while the minimum residual error of HAM solutions are10−18 . Therefore, HAM has&#xD;
successfully obtained solution of SEIR model approximately. Overall, HAM can be an&#xD;
alternative method for solving more complex models.</description>
    <dc:date>2021-03-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://repository.umnaw.ac.id/jspui/handle/123456789/2490">
    <title>Control optimal analysis of SEIR model of covid 19 spread in Indonesia</title>
    <link>http://repository.umnaw.ac.id/jspui/handle/123456789/2490</link>
    <description>Title: Control optimal analysis of SEIR model of covid 19 spread in Indonesia
Authors: Rangkuti, Y.M.; Firmansyah; Landong, A
Abstract: In this paper we use optimal control techniques, SEIR model of Covid 19 in case&#xD;
Indonesia, in order to establish vaccination, personal protective measures and treatment&#xD;
plans to control the spread of an infectious disease. We validate them by the use of the&#xD;
Maximum Principle. The findings revealed that the best practice of combining all three&#xD;
intervention measures considerably reduces the proportion of people who are exposed and&#xD;
symptomatic, as well as those who are asymptomatic.
Description: 1-6</description>
    <dc:date>2022-02-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://repository.umnaw.ac.id/jspui/handle/123456789/2489">
    <title>Sensitivity analysis of SEIR epidemic model of Covid 19 spread in Indonesia</title>
    <link>http://repository.umnaw.ac.id/jspui/handle/123456789/2489</link>
    <description>Title: Sensitivity analysis of SEIR epidemic model of Covid 19 spread in Indonesia
Authors: Rangkuti, Y.M.; Firmansyah; Landong, A
Abstract: Epidemiological models may provide public health practitioners with some&#xD;
fundamental guidelines, allowing for the examination of issues that may influence disease&#xD;
prevention and treatment techniques. On establish the relative impact of the model parameters&#xD;
to disease transmission, a sensitivity analysis of the epidemiological model is undertaken. A&#xD;
sensitivity analysis of the Susceptible, Exposed, Infectious, and Recovered (SEIR) model of&#xD;
corona virus 2019 (COVID 19) was undertaken to determine the parameters' influence on the&#xD;
basic reproduction number and endemic equilibrium. The rate of contact between susceptible&#xD;
individual and exposed individuals and rate of exposed to infected individuals are the most&#xD;
impactful parameters on the basic reproduction number and the number of infectious&#xD;
individuals, according to our findings. Furthermore, the number of people who have been&#xD;
exposed is affected by the rate at which they proceed from exposed to infect. The findings&#xD;
show that if infectious people recover faster, the number of contagious people will decrease.
Description: 1-7</description>
    <dc:date>2022-02-01T00:00:00Z</dc:date>
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