Analysis of Students Learning Difficulties in Advanced Differential Equation Courses Reviewed from the Use of Learning Media During the Covid-19 Pandemic

The inability of students to master the material concept of the advanced differential equation gives rise to internal and external factors that are formed in them so that it needs to require encouragement as effective use of learning media so that learning in the classroom becomes increasingly attractive to students. We used online learning media as zoom, offline or online learning videos, E-learning, and others. This research aimed to identify and describe students learning difficulties in advanced differential equation courses in terms of the use of learning media during the Covid-19 pandemic. The type of research used is qualitative research, with a descriptive approach. Results showed that students have great difficulty learning numerical methods to solve first-order differential equations from all three sub-chapters of matter. In this material, students are still less careful in answering questions (58,1%). Because students could not identify the type of methods used to solve problems, students need online learning media that are effective for math learning, such as offline learning videos (71%), as a solution to save internet quotas. So, this research is useful for educators/lecturers in observing the condition of student learning difficulties given the use of learning media used to motivate students to be active in learning advanced differential equation courses during the Covid-19 pandemic.

Cover and Table of Content

.

Mathematical Reasoning of Vocational High School Students on Mathematical Tasks in the Law of Demand Context

This study aims to describe the mathematical reasoning abilities of vocational high school students in the business and management expertise in solving mathematical tasks in the law of demand context. This research uses the descriptive qualitative method. The participants consisted of six students categorized into three groups: high, medium, and low mathematical abilities. Participants from one of the vocational schools in Ciamis, Indonesia. Mathematical tasks to explore students' mathematical reasoning abilities in the law of demand context. The law of demand is a concept in business economics subjects. The task situation expanded as an alternative to solving more mathematical tasks—data from the results of student answers and interviews. Data analysis refers to the characteristics of mathematical reasoning, which consists of imitative and creative reasoning. The stages of data analysis are reduction, presentation, interpretation, inference, and verification. The results of data analysis show that all students tend to do imitative reasoning on each given task. Students tend to remember the law of demand formulas and perform mathematical procedures that they remember. Students often perform mathematical procedures that are not by the nature of mathematics so that the resulting solution is wrong. The law of demand questions designed to explore creative reasoning abilities has not been able to bring students to the flow of creative mathematical reasoning.

Development Student Worksheet Based on Problem-Based Learning (PBL) on Matrix Materials for Class XI

This study aims to determine the validity of PBL-based worksheets on the XI class matrix material. The type of research used is the research and development method (R & D). This research stage will be based on the ADDIE development stage which consists of the analysis, design, and development stages. The instrument used in this research is the LKPD validation sheet, and the data obtained will be processed descriptively. From the research results, it is known that the results of the LKPD validation are 87.92% with a very valid category. Based on the final results of this study, the Problem Based Learning (PBL) Worksheet on Class XI Matrix Material is very valid.

Visual Thinking Ability of Mathematics Education Students on Geometry Transformation Learning Material

Solving a problem in geometric transformation that is prioritized is the ability to think visually, this is because visualization is the heart of mathematics to solve a problem, besides that visualization can also make it easier to understand abstract mathematics, and can be used as a strategy for solving mathematical problems to be very simple. This study aims to describe the visual thinking ability of mathematics education students on the material of geometric transformation. The type of research used in this research is descriptive qualitative research. The subjects in this study were 5 students. Written tests related to geometric transformation questions, such as questions, reflections, translations, and dilations were used as data sources in this research. By describing each instrument that has been done by students in accordance with the indicators of visual thinking ability, data analysis techniques are used. The results of this study indicate that students' thinking skills only reach the stage of sorting, searching, and finding. It means only to the acquisition and reasoning. This can be seen from the responses of several students, namely students (1) four stages and three principles of visual thinking ability are achieved. Students can sort out the questions given and look for information to get answers, and can describe and visualize the answers that have been obtained. Student response (2) only did not reach the step of describing and the principle of individuation. This means that students cannot explain and describe answers in the form of pictures or graphs correctly. Student responses (3) only reached the stage of sorting and obtaining or in other words only understanding what was asked. Students in response (4) only did not reach the step of describing and the principle of visualizing/illustrating. So that it can be used as a reference related to visual research, especially on geometry material.

Argentine Curriculum in Covid-19 Pandemic

Corona virus disease 2019 (Covid-19) began to spread in Argentina in March 2020, based on data until August 25, 2020, in Argentina there were more than 350,000 people infected with the corona virus -19, ranked in the top 15 countries with the most cases. The purpose of this paper is to prepare curriculum development in Argentina in the face of the COVID-19 pandemic. The research method used is literature study, collecting information and data through various literatures, books, journals, Argentine government regulations, relevant previous research results. as well as other references. The analysis carried out is the process of preparing the curriculum in Argentina in the face of the covid-19 pandemic with the Saylor curriculum formulation model, which consists of curriculum planning, curriculum implementation, and curriculum evaluation. The Argentine government has issued several regulations and curricula in dealing with the COVID-19 pandemic. CFE Resolution No. 362/2020 decree governing the Distance Education Protocol, with Resolution N° 423/2020 the Ministry of Education of the Nation established the “Advisory Council on Current Return to Classroom Planning”. In the Saylor, Alexander and Lewis model, curriculum changes are implemented in three stages, namely; the curriculum design stage, the curriculum implementation stage, and the curriculum evaluation stage, curriculum changes are made to ensure that citizens continue to receive education.

Statistical Literacy Ability Viewed from the Student's Field of Expertise and Curiosity

This study aims to describe statistical literacy skills based on the field of expertise and curiosity of grade XII student of SMK Komputama Jeruklegi. The type of research used is qualitative descriptive research. Sampling was done by purposive sampling technique. The study took four subjects from each category in each field of expertise in SMK Komputama Jeruklegi. Data collection using questionnaires, statistical literacy tests, and interview guidelines. The validation test used is a technical triangulation test. The results showed that of the two fields of expertise taken, students achieved two to four indicators of statistical literacy. For students of information and communication technology with curiosity is very high can meet all indicators of statistical literacy ability. Students with high curiosity meet indicators understand the data, present the data and draw conclusions. Students with curiosity are meeting indicators understanding the data and drawing conclusions. While students with low curiosity meet the indicator presents the data and draws conclusions. Then the results of students in the fields of business expertise and management show that students with very high curiosity and high meet indicators of understanding data, presenting data, and drawing conclusions. Students with curiosity are meeting indicators understanding the data and presenting the data. Whereas students with low curiosity meet the indicators understand the data and draw conclusions. This research is expected to contribute to students' statistical literacy skills, so that they can provide an overview of future research.

Analisis Kemampuan Pemecahan Masalah Matematis Siswa Berdasarkan Disposisi Matematis

This study aims to describe students' mathematical problem-solving abilities based on mathematical dispositions at Riyadlul Mukhlishien Middle School. This type of research used in this research is descriptive qualitative. The research subjects used were 21 students of class VIII A. The data sources of this research are in the form of questionnaires, test descriptions and interviews. The results of the questionnaire were used to classify the level of students' mathematical dispositions. After that, two students from each category of mathematical disposition were selected to be the subject of tests and interviews. The results of tests and interviews of mathematical problem-solving abilities were analyzed based on the mathematical disposition of the students. The results of this study indicate that the mathematical disposition of SMP Riyadlul Mukhlishien students is divided into three categories, high, medium and low. Students who have mathematical problem-solving abilities in the high mathematical disposition category are able to meet the indicators of mathematical problem-solving abilities well and write them down completely. Students who have mathematical problem-solving abilities in the moderate mathematical disposition category are able to meet the indicators of mathematical problem-solving abilities but do not write them down completely. Students who have mathematical problem-solving abilities in the low mathematical disposition category are less able to meet the indicators of mathematical problem-solving abilities because they do not write them down completely and still experience errors in calculations

Prediksi Predikat Kelulusan Mahasiswa dengan Rantai Markov dan Faktor-Faktor yang Mempengaruhi Indeks Prestasi Mahasiswa

Students' Achievement Index (IP) changes each semester, both increase and decrease. This affects the GPA obtained by graduation. IP obtained by students in even semester is only influenced by IP in odd semester. Based on nature of Markov Chain, if there are past and future events, then future events are independent of past events and only tied to current events. Markov chain is used to analyze probability of IP change each semester and to predict the predicate of graduation with state space used, namely: satisfactory predicate with GPA of 2.00 - 2.75 to state 0, satisfactory predicate with GPA of 2.76 - 3, 24 becomes state 1, predicate is very satisfactory with GPA of 3.25 - 3.79 being state 2, and cumlaude predicate with GPA of 3.80 - 4.00 being state 3. This study aims to predict the predicate of student graduation and to analyze factors that have significant effect on IP. Dummy regression is used to analyze factors that have significant effect on IP with the factors studied, namely: campus facilities and infrastructure, friendship, organizational activeness, internet use, and money. Results showed that predicate of graduation with satisfactory predicate, GPA range of 2.00-2.75 was 0.56%, students who graduated with satisfactory predicate GPA range 2.76-3.24 was 7.39%, students who graduated with very satisfactory predicate, GPA ranges 3.25-3.79 was 54.18%, and students who graduated with cumlaude predicate ranged from GPA 3.80-4.00 was 37.87%. Factors that have significant effect on student GPA are activeness in the organization and use of the internet.

Android Mobile Learning: MIT App Inventor dan Pengembangannya pada Pembelajaran Matematika

This study aims to develop mobile mathematics learning media using App Inventor 2. Development using App Inventor 2 will make it easy to access learning because this application is android in nature. The development procedure that will be carried out by the author is using 4D. The data collection techniques I use are interviews, questionnaires and tests. The data processing technique I use is the effect size test. The result of this research is a product, namely mobile learning, which refers to the modified research and development design of the 4D development model. From the results of research using mobile learning with App Inventor 2 student learning outcomes have increased more than before. App Inventor 2 is an application that can be accessed anywhere and anytime it really helps students learn to understand the material first before being taught in class. So, it can be concluded that the media developed by the author is feasible and effective to be used as teaching material to help students in the learning process.