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An Analysis of Students Error In Solving PISA 2012 And Its Scaffolding Sari, Yurizka Melia; Valentino, Erik
(JRAMathEdu) Journal of Research and Advances in Mathematics Education Vol. 1, No. 2, July 2016
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jramathedu.v1i2.3380

Abstract

Based on PISA survey in 2012, Indonesia was only placed on 64 out of 65 participating countries. The survey suggest that the students’ ability of reasoning, spatial orientation, and problem solving are lower compare with other participants countries, especially in Shouth East Asia. Nevertheless, the result of PISA does not elicit clearly on the students’ inability in solving PISA problem such as the location and the types of student’s errors. Therefore, analyzing students’ error in solving PISA problem would be essential countermeasure to help the students in solving mathematics problems and to develop scaffolding. Based on the data analysis, it is found that there are 5 types of error which is made by the subject. They consist of reading error, comprehension error, transformation error, process skill error, and encoding error. The most common mistake that subject do is encoding error with a percentage of 26%. While reading is the fewest errors made by the subjects that is only 12%. The types of given scaffolding was explaining the problem carefully and making a summary of new words and find the meaning of them, restructuring problem-solving strategies and reviewing the results of the completion of the problem.
Analisis Generalisabilitas Multi Faset pada Instrumen Penalaran Matematika SMP Fiangga, Shofan; Sari, Yurizka Melia
Jurnal Elemen Vol 3, No 2 (2017): Jurnal Elemen
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (436.134 KB) | DOI: 10.29408/jel.v3i2.398

Abstract

The aims of this study is to determine the internal consistency or reliability coefficient of the developed mathematics reasoning instruments in Junior High School by using generalizability theory multi facet, px(i:r). The instrument are consisting 5 indicator which each of that are valued by each rater. This research method is three-way analysis of variance of multi facet design on G-Study by which the variance comonents are person, rater, item and the interaction between person and items, and the error. Both of G-Study and D-Study design is nested design. The result shows that the coefficient of G-Study is 0.66898. Hence, the next step is using those coefficient for D-Study analysis which lead the conclusion that mathematics reasoning instrument has satisfied the level of observation on large facet and its coefficient is 0.73834 or 74%. To sum up, raters have to use the indicators of reasoning instrument which consist of 1,2,3,4 and 5 components. The design of P x (I:R) – I Random, R Fixed (P = 30, R = 5 dan I = 4) has been satisfied the minimum criteria of conclusion which has been reach 0.70.
Analisis Generalisabilitas Multi Faset pada Instrumen Penalaran Matematika SMP Shofan Fiangga; Yurizka Melia Sari
Jurnal Elemen Vol 3, No 2 (2017): July
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jel.v3i2.398

Abstract

The aims of this study is to determine the internal consistency or reliability coefficient of the developed mathematics reasoning instruments in Junior High School by using generalizability theory multi facet, px(i:r). The instrument are consisting 5 indicator which each of that are valued by each rater. This research method is three-way analysis of variance of multi facet design on G-Study by which the variance comonents are person, rater, item and the interaction between person and items, and the error. Both of G-Study and D-Study design is nested design. The result shows that the coefficient of G-Study is 0.66898. Hence, the next step is using those coefficient for D-Study analysis which lead the conclusion that mathematics reasoning instrument has satisfied the level of observation on large facet and its coefficient is 0.73834 or 74%. To sum up, raters have to use the indicators of reasoning instrument which consist of 1,2,3,4 and 5 components. The design of P x (I:R) - I Random, R Fixed (P = 30, R = 5 dan I = 4) has been satisfied the minimum criteria of conclusion which has been reach 0.70.
An Analysis of Students Error In Solving PISA 2012 And Its Scaffolding Yurizka Melia Sari; Erik Valentino
JRAMathEdu (Journal of Research and Advances in Mathematics Education) Vol. 1, No. 2, July 2016
Publisher : Department of Mathematics Education, Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jramathedu.v1i2.3380

Abstract

Based on PISA survey in 2012, Indonesia was only placed on 64 out of 65 participating countries. The survey suggest that the students’ ability of reasoning, spatial orientation, and problem solving are lower compare with other participants countries, especially in Shouth East Asia. Nevertheless, the result of PISA does not elicit clearly on the students’ inability in solving PISA problem such as the location and the types of student’s errors. Therefore, analyzing students’ error in solving PISA problem would be essential countermeasure to help the students in solving mathematics problems and to develop scaffolding. Based on the data analysis, it is found that there are 5 types of error which is made by the subject. They consist of reading error, comprehension error, transformation error, process skill error, and encoding error. The most common mistake that subject do is encoding error with a percentage of 26%. While reading is the fewest errors made by the subjects that is only 12%. The types of given scaffolding was explaining the problem carefully and making a summary of new words and find the meaning of them, restructuring problem-solving strategies and reviewing the results of the completion of the problem.
EXPLORING STUDENTS’ MATHEMATICAL PROBLEM-SOLVING ABILITY ON SET TOPICS BASED ON SELF CONFIDENCE Ali Shodikin; Yurizka Melia Sari; Alvenna Nursyafira
AKSIOMA: Jurnal Program Studi Pendidikan Matematika Vol 12, No 2 (2023)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/ajpm.v12i2.6338

Abstract

Students’ problem-solving abilities are influenced by their self-confidence in learning mathematics. This study intends to investigate junior high school students' mathematics problem-solving abilities in terms of their self-confidence in the set content. Descriptive qualitative research methodology is employed. This research involved 32 students in 7th grade at SMP Negeri 2 Sukodadi, Lamongan. To focus on data analysis, 3 students were selected representing different levels of self-confidence, namely high, medium and low. Subject taking is based on the results of the scores on the self-confidence questionnaire that has been given. Questionnaires on self-confidence, tests of mathematical problem-solving abilities, and interview guidelines were the instruments employed. Based on the data analysis, it was found that there is a close relationship between self-confidence and mathematical problem-solving ability, that is, the higher the level of student self-confidence, the better the ability to solve mathematical problems. Conversely, if students’ self-confidence is lower, their mathematical problem-solving abilities will also be lower. This study emphasizes the importance of students' self-confidence to be grown in learning to support their mathematical problem-solving abilities.
Designing mathematics problem-solving assessment with GeoGebra Classroom: proving the instrument validity Abdul Haris Rosyidi; Yurizka Melia Sari; Dini Kinati Fardah; Masriyah Masriyah
Journal of Education and Learning (EduLearn) Vol 18, No 3: August 2024
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/edulearn.v18i3.21191

Abstract

Mathematics education is looking for innovative methods to foster problem-solving skills in students. This research develops a problem-solving assessment using GeoGebra Classroom, a versatile interactive mathematics software, to revolutionize mathematics formative assessment and improve students' problem-solving skills. This study adopted the analysis, design, development, implementation, and evaluation (ADDIE) instructional design model stages. The design stage created a comprehensive assessment blueprint, incorporating GeoGebra Classroom functions to create interactive problem-solving tasks. Data analysis used both quantitative and qualitative approaches. Qualitative data consisted of feedback and suggestions from assessment experts, mathematicians, and GeoGebra specialists. Meanwhile, quantitative data included expert scores and cognitive tests that measured students' problem-solving abilities. A cognitive post-test was conducted to measure the progress of students' understanding while using the assessment product. The results of the content validity analysis, assessed using Aiken's V, ranged from 0.85 to 0.92, indicating a high level of validity for the problem-solving skills assessment in terms of content and construction. Some revisions were made to the design of the developed media to make it more interactive for students. These findings suggest that we can further use problem-solving questions integrated with GeoGebra Classroom to uncover the problem-solving skills of junior high school students.
Development of Teaching Materials Based on Pjbl-Abmh (Preserved Bioplastic Materials Set) To Improve Students' Creative Thinking Skills Auni, Anggita; Farida, Siti; Arfiansyah, Noval Ilham; Sari, Yurizka Melia
Jurnal Riset Pendidikan dan Inovasi Pembelajaran Matematika Vol. 7 No. 2 (2024): JRPIPM ARPIL 2024
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jrpipm.v7n2.p 117-139

Abstract

This research describes the process and results of developing PJBL-ABMH-based learning tools to improve students' creative thinking abilities on set material. This research uses the Plomp development model to develop learning tools through teaching modules and project worksheets, setting material with the PJBL-ABMH project learning design. The trial was conducted on 6 grade 7 students at a junior high school in Surabaya, East Java. Data collection and analysis techniques are carried out using validation sheets to determine the validity of the learning tools tested on the validator. Pre-test and posttest sheets measure effectiveness regarding students' creative thinking abilities on set material. Apart from that, student response sheets are also used to determine the practicality of the learning tools that have been developed. Data analysis was carried out using the constant comparative method technique. The results of the data analysis showed that the learning tools obtained a validity criterion of 75.5%, and each was classified as valid. The n-gain was obtained at 0.736 for the effectiveness criteria, and each obtained high effectiveness criteria. The learning tools were efficient to implement, with an average student response of 90% for the project learning design. Thus, PJBL-ABMH-based learning tools are declared valid, effective, and practical.
The potential of virtual representations to help students in learning mathematics Sari, Yurizka Melia; Arlinwibowo, Janu; Fatima, Gupita Nadindra; Purwoko, Dwi; Suprapto, Suprapto
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i6.pp6411-6422

Abstract

The study aims to conclude the benefits of virtual representation in helping students learn mathematics. To answer this goal, this research utilizes the meta-analysis method of two-group difference design. The data collection process used inclusion criteria. The data collection process was carried out with the PRISMA. The results of the effect analysis of the p-value < 5% (95% confidence interval) and the total effect of 1.1761 so that virtual representation has a significant influence. The analysis showed that i) implementation in each continent showed identical positive effects, ii) the number of students subjected to the treatment did not make a difference, iii) themes in mathematics were equally well affected with the help of virtual representation, iv) the effect of virtual representation in junior high school, high school, and university was identical, v) the development of competencies in attitude, knowledge, and skills was equally good, vi) among the many applications, GeoGebra was the application that had the greatest impact in helping students understand mathematics subject matter, and vii) the use of smartphones had a greater effect than other devices such as computers and calculators. To produce the maximum effect in understanding students, it is recommended to use mobile devices and GeoGebra software.
Validitas Game Edukatif Terintegrasi Audio-Augmented Reality untuk Meningkatkan Literasi Matematis Siswa Diskalkulia Alfianita, Nova Febrian; Afsari, Fadilla; Dewi, Alvi Setya Kurnia; Rahmawati, Nabila Neva; Nafis, Tazkiyatun; Sari, Yurizka Melia
MATHEdunesa Vol. 13 No. 3 (2024): Jurnal Mathedunesa Volume 13 Nomor 3 Tahun 2024
Publisher : Program Studi S1 Matematika UNESA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathedunesa.v13n3.p765-778

Abstract

Proving content validity of android-based higher order thinking skill assessment for science and mathematics preservice teacher Susantini, Endang; Sari, Yurizka Melia; Asteria, Prima Vidya; Marzuqi, Muhammad Ilyas
Journal of Education and Learning (EduLearn) Vol 19, No 1: February 2025
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/edulearn.v19i1.21207

Abstract

Assessing preservice' higher order thinking skills (HOTS) in science and mathematics is essential. Teachers' HOTS ability is closely related to their ability to create HOTS-type science and mathematics problems. Among various types of HOTS, one is Bloomian HOTS. To facilitate the preservice teacher to create problems in those subjects, an Android app called EduAssess was developed as a Bloomian HOTS test for junior high school preservice teachers. This study aims to validate the problems in the EduAssess app through content validity. Content validity was analyzed using Aiken's V formula and expanded Gregory formula. EduAssess comprised three test sets for science and mathematics, each comprising 9 items. The instrument validated by three experts in each subject. The study results demonstrate that EduAssess, for both mathematics and science, has achieved content validity. Expert judgments confirmed the validity of EduAssess items, with Aiken's V index ranging from 0.67 to 1.00, meanwhile expanded Gregory index ranging from 0.78-1.00. The results showed that EduAssess includes analysis, evaluation, and creation. The findings highlight that the application instrument in facilitating pre-service teachers by measuring their ability to analyze, evaluate and create HOTS problems in science and mathematics subjects was proven valid and ready for data collection.