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EFFECT OF USE OF DERIVATIVE SNAKE TEACHING AIDS ON MATHEMATICS LEARNING OUTCOMES Muhammad Arif Satria Nasution; Herman Mawengkang; Mardiningsih Mardiningsih
JISTech (Journal of Islamic Science and Technology) Vol 3, No 2 (2018)
Publisher : UIN Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (199.053 KB) | DOI: 10.30829/jistech.v3i2.4011

Abstract

This study aims to determine the effect of student learning outcomes using snake props derived from derivative material functions in class XI of SMA 1 Meranti. The study sample was determined randomly and there were 4 classes available so the study population consisted of 2 classes, each of which consisted of 34 students and XI Science-1 experimental class and class XI Science-2 control class. The test instruments in this study consisted of 5 questions essay tests. From the data analysis the average and standard deviation in the experimental class were obtained to pretest 46,471 and 10,282, while for posttest 74,00 and 10,708. For the average value and standard deviation of the control class to pretest 43,059 and 10,790 and posttest data 66,471 and 10,329. From the data analysis using the t-test at the level of α = 0.05, obtained tcount = 2.951 for t table = 1.668 it turns out ttable < t1-α, then H0 is rejected and Ha is accepted. Thus the conclusion is that there is an influence of student learning outcomes using snake props derived from derivative material functions in class XI of SMA 1 Meranti.
STABILITY ANALYSIS OF EQUALITY POINT MATHEMATICS MODEL OF INFLUENZA VIRUS IN THE HUMAN BODY WITH HERBAL TREATMENT THERAPY Maharany Maharany; Mardiningsih Mardiningsih
MES: Journal of Mathematics Education and Science Vol 8, No 1 (2022): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v8i1.5982

Abstract

This study discusses a mathematical model for the transmission of influenza virus in the human body. The mathematical model used is the SITR model. As an effort to inhibit the influenza virus, the model is considered as herbal treatment therapy.The purpose of this study was to analyze the stability of the equilibrium point of the mathematical model of the influenza virus in the human body with herbal medicine therapy. The method used in analyzing the problem is literature study. The steps taken are determining the problem, literature study, analysis and problem solving and drawing conclusions. As a result of the research, the model obtained is. . From this model, there are two equilibrium points, namely the disease-free equilibrium point and the endemic equilibrium point. The analysis carried out resulted in the basic reproduction ratio number . After analyzing the two equilibrium points, it can be concluded that the disease-free equilibrium point will be locally asymptotically stable if . Meanwhile, the endemic equilibrium point will be locally asymptotically stable . Furthermore, to illustrate the model, a model simulation is carried out using the Maple.
Kajian Metode Analytical Hierarchy Process (AHP) Dan Technique For Order Preference By Similarity To Ideal Solution (TOPSIS) Serta Penerapannya Dita Fitria; Mardiningsih Mardiningsih
Pendekar : Jurnal Pendidikan Berkarakter Vol 2 No 1 (2024): Februari : Jurnal Pendidikan Berkarakter
Publisher : LPPM Politeknik Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pendekar.v2i1.578

Abstract

The Analytical Hierarchy Process (AHP) approach and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method are two methods that are commonly used to handle multicriteria problems. The AHP technique uses a matrix of pairwise comparisons and a hierarchical approach to criteria in order to obtain the final criteria weights. In contrast, the TOPSIS approach incorporates the concepts of proximity to the ideal solution and preference. Next, TOPSIS uses the previously established criterion weights to compute each option's relative closeness score to the ideal answer. In order to determine how effectively the AHP and TOPSIS methodologies complement one another, this study aims to assess the protocols and underlying assumptions of the two approaches. When decision makers are aware of the benefits and drawbacks of each approach, they may choose the best course of action from a mix of the two. The results of the study indicate that the process may be streamlined, subjectivity can be reduced, and criterion weights can be stabilized by combining the AHP and TOPSIS approaches.The Analytical Hierarchy Process (AHP) approach and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method are two methods that are commonly used to handle multicriteria problems. The AHP technique uses a matrix of pairwise comparisons and a hierarchical approach to criteria in order to obtain the final criteria weights. In contrast, the TOPSIS approach incorporates the concepts of proximity to the ideal solution and preference. Next, TOPSIS uses the previously established criterion weights to compute each option's relative closeness score to the ideal answer. In order to determine how effectively the AHP and TOPSIS methodologies complement one another, this study aims to assess the protocols and underlying assumptions of the two approaches. When decision makers are aware of the benefits and drawbacks of each approach, they may choose the best course of action from a mix of the two. The results of the study indicate that the process may be streamlined, subjectivity can be reduced, and criterion weights can be stabilized by combining the AHP and TOPSIS approaches.