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Intuitionistic Anti Fuzzy Vector Spaces with Respect to t-norm and t-conorm 关于t范数和t保形的直觉反模糊向量空间
O. Wijaya, A. Alghofari, N. Hidayat
In this paper, we introduce about intuitionistic anti fuzzy vector spaces with respect to t-norm and t-conorm (IAFVSTC). We discuss some properties of IAFVSTC. We investigate IAFVSTC together with characteristic function intuitionistic fuzzy sets (IFS). We obtain properties of some operation and relation between IAFVSTC, and submodule of R-module which the IFS is an IAFVSTC.
本文介绍了关于t范数和t保形的直觉反模糊向量空间(IAFVSTC)。讨论了IAFVSTC的一些性质。我们将IAFVSTC与特征函数直觉模糊集(IFS)结合起来研究。我们得到了一些运算的性质和IAFVSTC与r -模的子模之间的关系,其中IFS是IAFVSTC。
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引用次数: 0
An Analysis Conceptual Understanding and Student’s Learning Self-Reliance in the New Normal Era Assisted by Photomath on SLETV Material 新常态下SLETV材料的Photomath辅助下的概念理解与学生自主学习分析
Nurhayati, Rofiroh, Desi Riski
This study is purposed to determine the student's conceptual understanding and learning self-reliance in New Normal era assisted by Photomath on SLETV materials. This study implements quantitative approach of quasiexperimental design and One Group Pre test-Post test Design. The population of this study is all 7th grade students in SMPN 3 Jeumpa, Bireuen. The sample is selected using purposive sampling, they are 29 of 7th grade students in SMPN 3 Jeumpa, Bireuen who attend when this study is conducted. The instrument adopted to measure the student’s understanding level is a test. Meanwhile, to determine the student’s learning self-reliance, this study uses questionnaire. N-Gain is calculated to know the student’s conceptual understanding level, and the percentage technique is also applied to determine the student’s self-reliance level. The research findings show that teaching and learning process assisted by Photomath on SLETV materials can improve the student’s conceptual understanding, although the improvement is still considered in the low category. Besides, the improvement of the student’s conceptual understanding achieves the middle category. Additionally, 80% students agree that Photomath use can create the students more self-reliant in mathematics teaching and learning process, particularly on SLETV materials.
本研究的目的是在SLETV资料的Photomath辅助下,探讨新常态下中学生的概念理解与学习自立。本研究采用准实验设计和一组前-后测试设计的定量方法。本研究的人群为bireen Jeumpa SMPN 3的所有七年级学生。样本采用有目的抽样的方法,选取在本研究进行时就读于Jeumpa, bireen SMPN 3的7年级学生29名。用来衡量学生理解水平的工具是测验。同时,为了确定学生的学习自立程度,本研究采用问卷调查的方法。通过计算N-Gain来了解学生的概念理解水平,并采用百分比技术来确定学生的自力更生水平。研究结果表明,在SLETV材料上,Photomath辅助的教学过程可以提高学生的概念理解,但这种提高仍然属于低水平。此外,学生概念理解的提高达到了中间范畴。此外,80%的学生同意使用Photomath可以使学生在数学教学和学习过程中更加自主,特别是在SLETV材料上。
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引用次数: 0
Sumatra Land Surface Temperature Increase 苏门答腊岛地表温度升高
M. Munawar, Tofan Agung Eka Prasetya, R. McNeil, R. Jani
Climate change in Sumatra island is likely a result of widespread land-use changes by the plantation industry. This study aims to investigate trends in land surface temperatures in Sumatra island. Land surface temperatures from 20012020 were downloaded from the National Aeronautics and Space Administration moderate resolution imaging spectroradiometer Terra satellite and divided into 5 regions and 45 sub-regions spread equally across the island. The statistical method that used to analyzed the data was cubic spline and multiple regression. The seasonal pattern and variation in the land surface temperature were examined using a cubic spline method and the seasonally adjusted land surface temperature was analyzed using a multiple regression model. On average, the land surface temperature on Sumatra island significantly increased over the ten years by 0.076C with a 95% confidence interval of [0.010, 0.141]C.
苏门答腊岛的气候变化很可能是种植业广泛改变土地利用的结果。这项研究的目的是调查苏门答腊岛陆地表面温度的趋势。从美国国家航空航天局中分辨率成像光谱辐射计Terra卫星下载了2001 - 2020年的地表温度,并将其分为5个区域和45个次区域,均匀分布在岛上。数据分析采用三次样条和多元回归的统计方法。采用三次样条法分析地表温度的季节变化特征,采用多元回归模型分析经季节调整后的地表温度。平均而言,苏门答腊岛的地表温度在10年内显著升高了0.076C, 95%可信区间为[0.010,0.141]C。
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引用次数: 0
Determinants of Stunting Among Under-Five Years Children Using the Ordinal Logistic Regression Model 五岁以下儿童发育迟缓的决定因素使用有序逻辑回归模型
M. Rifada, N. Chamidah, Putri Nuraini, Faris Dwiki Gunawan, L. Muniroh
Stunting is a kind of chronic nutritional problem among under-five years children that characterized by a shorter height compared to other children of their age. The ordinal logistic regression is one statistical method that used to analyze the ordinal response variable with three or more categories and predictor variables that are categorical or continuous. This method has been used in various fields, one of them is in the health field. In this study, ordinal logistic regression is used to describe the correlation between stunting status of children and birth weight, birth length, mother's age, mother's height, mother's knowledge about nutrition, parenting, health services, hygiene and sanitation, number of children and number of family members. The stunting status of children in this study is divided into three kind which are severely stunted, moderately stunted, and normal stunted. The aim of this study is to describe the characteristics of children and to determine the factors that influence the stunting status of children in priority villages for stunting prevention i.e. Bucorwetan and Alaspandan village in the Probolinggo district, East Java, Indonesia. The prevalence of stunting was 30% (22.5% moderately, 7.5% severely). The mother's height and health services were the important determinants of stunting.
发育迟缓是五岁以下儿童的一种慢性营养问题,其特点是身高低于其他同龄儿童。有序逻辑回归是一种用于分析具有三个或三个以上类别的有序响应变量和分类或连续预测变量的统计方法。该方法已应用于各个领域,其中之一是在卫生领域。本研究采用序贯logistic回归方法描述儿童发育迟缓状况与出生体重、出生长度、母亲年龄、母亲身高、母亲营养知识、养育方式、保健服务、卫生与环境卫生、子女数量、家庭成员数量之间的相关关系。本研究中儿童发育不良状况分为重度发育不良、中度发育不良和正常发育不良三种。本研究旨在描述印度尼西亚东爪哇省Probolinggo县Bucorwetan村和Alaspandan村预防发育迟缓重点村庄儿童的特征,并确定影响儿童发育迟缓状况的因素。发育迟缓患病率为30%(中度22.5%,重度7.5%)。母亲的身高和保健服务是发育迟缓的重要决定因素。
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引用次数: 2
ARIMA Model for Forecasting COVID-19 in East Java 东爪哇地区新冠肺炎预测的ARIMA模型
E. S. Nugraha, A. Ulya
Coronavirus is a group of viruses that can cause disease in both humans and animals. The newly discovered coronavirus triggers COVID-19 disease. COVID-19 is now a pandemic that is emerging in many countries around the world, including Indonesia. Several sectors have been affected as a result of this pandemic, such as medical, economics, government, industry, etc. By using ARIMA model, we try to predict the daily cases of COVID-19 that occur in East Java. We obtained this model with the help of R software. The best model we obtained was the ARIMA model (7,1,7), which we used to predict the next 14 days from November 1, 2020, to November 14, 2020. The results of forecasting obtained by comparing real data with a 99% confidence interval, we obtained that the forecasting results are close to the real data that has occurred until November 14, 2020. This prediction is expected to help various sectors affected by this pandemic, such as government, economy, health especially in East Java.
冠状病毒是一组可以引起人类和动物疾病的病毒。新发现的冠状病毒会引发COVID-19疾病。COVID-19现在是一种大流行,正在包括印度尼西亚在内的世界许多国家出现。由于这次大流行,医疗、经济、政府、工业等多个部门受到了影响。利用ARIMA模型对东爪哇地区的日新冠肺炎病例数进行了预测。我们借助R软件得到了这个模型。我们得到的最好的模型是ARIMA模型(7,1,7),我们用它来预测从2020年11月1日到2020年11月14日的未来14天。通过对真实数据进行99%置信区间的对比得到的预测结果,我们得到的预测结果接近于发生在2020年11月14日的真实数据。预计这一预测将有助于受这一流行病影响的各个部门,如政府、经济和卫生部门,特别是在东爪哇。
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引用次数: 0
Gedhek, When Culture Teaches Mathematical Concepts Gedhek,当文化教授数学概念
R. M. Hariastuti, M. T. Budiarto, M. Manuharawati
Gedhek, a wall material for Using’s house, which is still used in Banyuwangi, Indonesia. The existence of gedhek in The Banyuwangi Community has never been associated with school knowledge. This makes gedhek known only as objects that are dividing the house (wall). Even though the process of making up to installing gedhek contains various learning concepts, especially mathematics. These mathematical concepts need to be identified through a qualitative research framework. Research data obtained by the method of participatory observation, in-depth interviews, and cultural documentation, then analyzed according to the steps of the ethnographic approach. The results showed that gedhek included mathematical activities, such as: counting, measuring, designing, locating, and explaining.
Gedhek,一种用于Using房子的墙面材料,在印度尼西亚的Banyuwangi仍在使用。Banyuwangi社区中gedhek的存在从未与学校知识联系在一起。这使得gedhek只被称为分割房屋(墙壁)的物体。尽管化妆到安装gedhek的过程包含各种学习概念,尤其是数学。这些数学概念需要通过定性研究框架来确定。通过参与式观察、深度访谈、文化文献等方法获取研究数据,然后按照民族志方法的步骤进行分析。结果表明,数学活动包括:计数、测量、设计、定位和解释。
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引用次数: 0
Estimation of Average Value at Risk (AVaR) on Sharia Joint-Stock Index Using Glosten, Jaggnathan and Runkle (GJR) model 利用Glosten, Jaggnathan和Runkle (GJR)模型估计Sharia股份指数的风险均值(AVaR)
Sri Muslihah Bakhtiar, Ermawati, Ilham Syata, Wahidah Alwi, Risnawati Ibnas, Sri Dewi Anugrawati
The average value at risk (AVaR) is a measuring tool used to assess the worst loss experienced by an investor on a portfolio investment at a certain time. Furthermore. AVaR’s level of confidence needs to fulfill all the axioms regarding the nature of risk for risk-varse investors. This is because the possibility of an asymmetric volatility response can be overcomed by estimating the risk of loss using the Glosten. Jagganathan. and Runkle (GJR) models. In this study. the stock price data for the period January 1-28 December 2018 were used for the response. Therefore. this study aims to determine the risk estimation of stock price loss using the Average Value at Risk with the Glosten Jagganathan and Runkle models. The results showed that the stock price obtained from the AVaR estimation with a 95% confidence level of 0.1627% may be experienced one day ahead.
风险平均价值(AVaR)是一种衡量工具,用于评估投资者在一定时间内对证券投资经历的最大损失。此外。AVaR的信心水平需要满足所有关于风险投资者风险性质的公理。这是因为可以通过使用Glosten来估计损失风险来克服不对称波动响应的可能性。Jagganathan。和朗克尔(GJR)模型。在这项研究中。该调查采用了2018年1月1日至12月28日期间的股价数据。因此。本研究旨在利用Glosten Jagganathan和Runkle模型的平均风险值来确定股票价格损失的风险估计。结果表明,在95%置信水平为0.1627%的AVaR估计中得到的股票价格可能提前一天经历。
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引用次数: 3
Analysis of Introverted Students’ Error Based on Newman in Solving Arithmetic Sequences and Series Problems 基于纽曼的内向型学生等差数列解题错误分析
D. Trapsilasiwi, R. P. Murtikusuma, Hobri, E. Oktavianingtyas, I. Wiliandani, D. M. Widodo
Mathematics is a universal field of science and has a very important role in human life. However, facts in the field show that students’ reasoning power is still weak in the learning process of mathematics. It is because of one of the abstract characteristics of mathematics. This feature causes many students to experience errors in solving math problems. This study aims to analyze students’ errors in solving arithmetic sequences and series material based on Newman’s error analysis in grade VIII Junior High School 11 Jemberin terms of Jung’s personality type. This research is qualitative descriptive research. The subjects in this study were 3 students with introverted personality types. The instrument used in this study was to collect data comprising an MBTI questionnaire, a test regarding the arithmetic sequence and series material, an interview guide and a validation sheet. Based on the research results, introverted students make mistakes in understanding, process skills, and perform mistakes in writing the final answer.
数学是一门普遍的科学领域,在人类生活中起着非常重要的作用。然而,现场事实表明,在数学学习过程中,学生的推理能力仍然较弱。这是因为数学的抽象特征之一。这个特性导致许多学生在解决数学问题时出现错误。本研究旨在基于Newman对初中11年级Jemberin的错误分析,从荣格人格类型的角度分析学生在等差数列和级数材料上的错误。本研究为定性描述性研究。本研究的研究对象为3名性格内向的学生。本研究使用的数据收集工具包括MBTI问卷、等差数列材料测试、访谈指南和验证表。从研究结果来看,内向型学生在理解、处理技巧、写作最终答案时出现错误。
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引用次数: 2
Learning Mathematical Modeling: How is Junior High School Students’ Motivation Through Visual_Formed Problems? 学习数学建模:初中生如何通过形象化问题激发动机?
F. Arni, Darmawijoyo, R. H. Simarmata
The purpose of this descriptive research was to see the effects of visual-formed problems on junior high school students’ motivation to learn mathematics using a mathematical modeling framework measured using several learning motivation indicators. This research was conducted to 27 students grade VII.2 of SMP Adabiyah Palembang. The questionnaire analysis results showed that the average student learning motivation on mathematics had increased with 51,85% of students having high learning motivation, 48,15% of students having medium motivation, and 0% of students having low motivation.
本描述性研究的目的是利用数学建模框架,使用几个学习动机指标来衡量视觉形成的问题对初中生学习数学动机的影响。本研究以27名阿达比耶-巨港中学七、二年级学生为研究对象。问卷分析结果显示,学生数学学习动机的平均水平有所提高,学习动机高的学生占51.85%,学习动机中等的学生占48.15%,学习动机低的学生占0%。
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引用次数: 0
Fuzzy Left Almost Semihyperring 模糊左几乎半超环
S. Rahman, N. Hidayat, A. Alghofari
The left almost semihyperring (LA) is an algebraic hyperstructure satisfying two axioms, these are the left inverse hyperoperation and the distributive axiom between multiplication and addition hyperoperation. In this article, the concept of fuzzy sets is applied to these structures so that we get a new algebraic structure, and it is called fuzzy left almost semihyperring. We show that the set of all fuzzy subsets in LA-semihyperring is also LA-semihyperring. Furthermore, the LA-subsemihyperring and hyperideal fuzzy properties and their relationship to the characteristic function and level set are analyzed.
左概半超环(LA)是满足两个公理的代数超结构,即左逆超运算和乘加超运算之间的分配公理。本文将模糊集的概念应用到这些结构中,得到了一个新的代数结构,称为模糊左几乎半超环。证明了la -半超环中所有模糊子集的集合也是la -半超环。进一步分析了la -亚半超环和超处理模糊性质及其与特征函数和水平集的关系。
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引用次数: 0
期刊
Proceedings of the 1st International Conference on Mathematics and Mathematics Education (ICMMEd 2020)
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