Kristina Wijayanti
Department Of Mathematics, Faculty Of Mathematics And Natural Sciences Semarang State University

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MODEL PROBLEM BASED LEARNING FLIPPED CLASSROOM UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR MATEMATIS TINGKAT TINGGI Agoestanto, Arief; Rochmad, Rochmad; Wijayanti, Kristina
Bookchapter Pendidikan Universitas Negeri Semarang No. 7 (2024)
Publisher : Bookchapter Pendidikan Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1529/kp.v1i7.172

Abstract

Kemampuan berpikir tingkat tinggi merupakan salah satu bekal penting bagi mahasiswa dalam menghadapi permasalahan dan tantangan kehidupan bermasyarakat. Oleh karena itu, membiasakan supaya mahasiswa tahun pertama memiliki kemampuan ini sangat diperlukan. Penelitian ini bertujuan menganalisis peningkatan kemampuan berpikir matematis tingkat tinggi melalui penerapan model pembelajaran problem based learning flipped classroom berdasarkan kemampuan matematis awal, menguji perbedaan kemampuan berpikir matematis tingkat tinggi melalui implementasi problem based learning flipped classroomberdasarkan kemampuan matematis awal, menguji perbedaan kemampuan berpikir matematis tingkat tinggi mahasiswa melalui implementasi model pembelajaran problem based learning, tanpa dan dengan flipped classroom. Metode penelitian menggunakan kuantitatif jenis kuasi eksperimen, dengan populasi mahasiswa yang mengikuti perkuliahan Pengantar Probabilitas tahun perkuliahan 2020/2021, yang terbagi menjadi lima kelas. Sampel terdiri dari dua dari lima kelas yang dipilih secara acak karena tidak ada rombel unggulan. Pengumpulan data dilakukan dengan tes kemampuan berpikir matematis tingkat tinggi. Hasil penelitian menunjukkan ada peningkatan kemampuan berpikir matematis tingkat tinggi pada mahasiswa melalui penerapan problem based learning flippedclassroom yang berada dalam kemampuan matematis awal rendah, ada peningkatkan kemampuan berpikir matematis tingkat tinggi pada mahasiswa melalui penerapan problem based learning flipped classroom berdasarkan kemampuan matematika awal, serta kemampuan berpikir matematis tingkat tinggi dengan penerapan problem based learning lebih baik menggunakan flipped classroomdari pada tanpa flipped classroom.
Mathematical Connections of Students Viewed from Adversity Quotient in Problem-Based Learning Using Math City Map Supono, Lilik; Agoestanto, Arief; Wijayanti, Kristina
AlphaMath : Journal of Mathematics Education Alphamath: Vol. 10, No. 1, May 2024
Publisher : Department of Mathematics Education, Universitas Muhammadiyah Purwokerto, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/alphamath.v10i1.21662

Abstract

The connection between mathematics and adversity quotient (AQ) has an important role in a person's ability to make decisions to solve problems in life. One of the efforts to improve it is through the application of technology in learning. The Math-City Map (MCM)-assisted Problem-based learning (PBL) model is one of the learnings that utilizes technology combining the PBL model and MCM-assisted learning. This study aims to (1) the quality of learning with a problem-based learning model using a math city map on mathematical connection ability (KKM, (2) test the effect of AQ on students' mathematical connection ability in MCM-assisted PBL learning. This research is a mixed method research with an explanatory sequential design with a quantitative portion greater than qualitative. The population of this study was grade VII students of SMPN 2 Ambarawa. Qualitative data was taken based on students' AQ, namely the climber, camper, and quitter categories. Quantitative data analysis techniques with parametric statistics such as mean tests, classical due diligence, and regression tests. Qualitative data analysis techniques use data reduction, presentation, and conclusions. The results showed that (1) MCM-assisted PBL learning was effective in improving students' mathematical connections (2) there was an influence of AQ on students' mathematical connection abilities in MCM-assisted PBL learning
Kemampuan Pemecahan Masalah Matematis Ditinjau dari Metakognisi Siswa Melalui Problem-Based Learning dengan Soal Open Ended Berbantuan Sevima Edlink Saodah, Nursaodah; Pujiastuti, Emi; Wijayanti, Kristina
Jurnal Cendekia : Jurnal Pendidikan Matematika Vol 8 No 1 (2024): Jurnal Cendekia: Jurnal Pendidikan Matematika Volume 8 Nomor 1
Publisher : Mathematics Education Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cendekia.v8i1.2624

Abstract

Tujuan penelitian ini adalah menganalisis kemampuan pemecahan masalah matematis ditinjau dari metakognisi siswa melalui PBL dengan soal Open Eded berbantuan Sevima Edlink. Metode penelitian adalah mix method dengan desain penelitian Concurrent Mixed Methods. Populasi dalam penelitian ini adalah siswa kelas VIII di SMP Negeri 2 Ciwaringin. Hasil penelitian menunjukkan bahwa (1) kemampuan pemecahan masalah matematis siswa kelompok eksperimen mencapai batas tuntas aktual; (2) proporsi ketuntasan kemampuan pemecahan masalah matematis kelompok eksperimen lebih dari 75%; (3) kemampuan pemecahan masalah matematis siswa kelompok eksperimen lebih baik daripada kemampuan pemecahan masalah matematis siswa kelompok kontrol; (4) peningkatan kemampuan pemecahan masalah matematis kelompok eksperimen lebih baik daripada peningkatan kemampuan pemecahan masalah matematis kelompok kontrol; (5) terdapat pengaruh positif metakognisi terhadap kemampuan pemecahan masalah matematis pada kelompok eksperimen; (6) siswa kategori metakognisi tinggi optimal dalam menerapkan empat indikator kemampuan pemecahan masalah. Namun, kurang optimal dalam menafsirkan hasil pemecahan masalah; (7) siswa metakognisi sedang optimal pada indikator memilih strategi pemecahan masalah. Kemudian, cukup optimal dalam menerapkan indikator merumuskan masalah, menerapkan strategi pemecahan masalah, dan memecahkan masalah matematika dengan berbagai cara. Sementara itu, kurang optimal dalam menerapkan indikator menafsirkan hasil pemecahan masalah; dan (8) siswa metakognisi rendah cukup optimal pada indikator merumuskan masalah dan memilih strategi pemecahan masalah. Selain itu dalam indikator menerapkan strategi pemecahan masalah, menafsirkan hasil pemecahan masalah, dan memecahkan masalah matematika dengan berbagai cara dengan kurang optimal.
Students' Mathematical Problem Solving Ability in View of Learning Motivation Through the MURDER Learning Model Assisted by Animation Videos Faza, Safana Aulia; Wijayanti, Kristina
Unnes Journal of Mathematics Education Vol 12 No 3 (2023): Unnes Journal of Mathematics Education
Publisher : Department of Mathematics, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujme.v12i3.78882

Abstract

This research was carried out with the aim of analyzing the effectiveness of the MURDER learning model assisted by animated videos on students' mathematical problem solving abilities and describing mathematical problem solving abilities in terms of student learning motivation through the MURDER learning model assisted by animated videos. This research employed a mixed-method research approach with a sequential explanatory design model. The study population consisted of students from all Class VIII of SMP Negeri 6 Semarang for the academic year 2022/2023, comprising eight classes. The research sample was class VIII G, with 32 students, and class VIII F, with 32 students. The results of this research indicate that the MURDER learning model assisted by animated videos is effective for mathematical problem solving abilities. In addition, a description of students' mathematical problem solving abilities was obtained in terms of learning motivation. Students with high learning motivation meet all indicators of mathematical problem solving abilities. Students with moderate learning motivation tend to be able to meet the indicators of mathematical problem solving ability. Students with low learning motivation tend to be unable to meet indicators of mathematical problem solving ability.
A SYSTEMATIC LITERATURE REVIEW LITERASI MATEMATIKA: TINJAUAN PENELITIAN ANTARA 2019-2023 : SYSTEMATIC LITERATURE REVIEW LITERASI MATEMATIKA: TINJAUAN PENELITIAN ANTARA 2019-2023 Priscilia, Priscilia Monica Praneswari; Wijayanti, Kristina; Rachmani Dewi, Nuriana; Junaedi , Iwan; Noriza Munahefi, Detalia; Mariani, Scolastika; Rosyida, Isnaini
Symmetry: Pasundan Journal of Research in Mathematics Learning and Education Vol. 9 No. 2 (2024): Symmetry: Pasundan Journal of Research in Mathematics Learning and Education
Publisher : Mathematics Education Study Program, FKIP, Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/symmetry.v9i2.19585

Abstract

Mathematical literacy plays an important role in the success of mathematics learning. Mathematical literacy is closely related to several mathematical abilities such as mathematical reasoning and problem solving. Therefore, mathematical literacy is an important focus in mathematics learning. This study aims to analyze and identify trends in the novelty of research on mathematical literacy in the last 5 years. This research was conducted with a systematic literature review. The data sources for this study are from Google Scholar and Scopus. The tool used in data collection is Publish or Perish software with the keyword mathematical literacy with a publication range from 2019 to 2023. The data analysis uses the help of the Covidence website, Microsoft Excel, and Vos Viewer. The research found in the data collection process was 400 articles which were then analyzed by adjusting the inclusion and exclusion categories, title, abstract and article content using the help of the Covidence website. The results obtained from the data analysis were 13 studies indexed by Scopus and 13 other studies accredited by Sinta. The results of this study indicate that the trend of new mathematical literacy research is related to augmented reality, guided inquiry learning, and mathematical self-efficacy.
EFEKTIVITAS MODEL PEMBELAJARAN RELATING, EXPERIENCING, APPLYING, COOPERATING, AND TRANSFERRING (REACT) DENGAN PENDEKATAN MATEMATIKA REALISTIK (PMR) TERHADAP LITERASI MATEMATIKA SISWA Maulana, Mukhamad Riziq; Mariani, Scolastika; Wijayanti, Kristina
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 2 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i2.700

Abstract

Mathematical literacy is a very important ability that students must have because mathematical literacy supports students' mathematical abilities in many contexts that will be used in everyday life. This research aims to analyze the effectiveness of REACT learning with a realistik mathematics approach (PMR) on students' mathematical literacy. The method used in this research is quasi-experimental research with a pretest-posttest design. The sample used was students of Class IXA and IXB Mts Miftakhul Khoirot Branjang, Ungaran, Semarang Regency. The data used is the results of the mathematics literacy test before learning (pretest) and the results of the mathematics literacy test after learning (posttest). The data that has been collected is analyzed using statistical analysis in the form of a t-test, z-test, paired sample t-test, and N-gain test. The results of this research showed that the average value of students' mathematical literacy in the REACT learning model with PMR achieved minimum completeness, the proportion of students who achieved the average value in the REACT learning model with PMR was more than 75%, the average value of mathematical literacy in classes using the model REACT learning with PMR is higher than the average value of the class using the direct learning model, the increase in the average value of mathematics literacy for the class using the REACT learning model with PMR is higher than the increase in the average value of the class using the direct learning model. These results can be concluded that the REACT learning model with PMR is effective for students' mathematical literacy
Analysis of Mathematical literacy through the lens of students' spatial geometry aptitude Wijayanto, Zainnur; Sukestiyarno, Sukestiyarno; Wijayanti, Kristina; Pujiastuti, Emi
Jurnal Cakrawala Pendidikan Vol 43, No 3 (2024): Cakrawala Pendidikan (October 2024)
Publisher : LPMPP Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/cp.v43i3.65013

Abstract

Mathematical literacy assumes a significant role in assisting students in resolving everyday problems. The research design utilized in this study is a descriptive qualitative method, which aims to assess students' literacy skills by categorizing them as high, moderate, or low based on various mathematical literacy indicators on the spatial facets of geometry. Research results were analyzed and sorted into categories denoting high, moderate, and low mathematical abilities, with one research subject chosen from each category from a total of 32 students. The outcomes reveal that students with high mathematical test abilities could formulate and apply appropriate formulas, interpret and effectively communicate results, and draw accurate conclusions. Students with moderate abilities were only formulating and interpreting while needing more ability to effectively communicate, provide suitable conclusions, or evaluate the problems encountered. Lastly, the low ones needed help to solve the given problems and indicators.
Mathematical Connections of Students Viewed from Adversity Quotient in Problem-Based Learning Using Math City Map Supono, Lilik; Agoestanto, Arief; Wijayanti, Kristina
AlphaMath : Journal of Mathematics Education Alphamath: Vol. 10, No. 1, May 2024
Publisher : Department of Mathematics Education, Universitas Muhammadiyah Purwokerto, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/alphamath.v10i1.21662

Abstract

The connection between mathematics and adversity quotient (AQ) has an important role in a person's ability to make decisions to solve problems in life. One of the efforts to improve it is through the application of technology in learning. The Math-City Map (MCM)-assisted Problem-based learning (PBL) model is one of the learnings that utilizes technology combining the PBL model and MCM-assisted learning. This study aims to (1) the quality of learning with a problem-based learning model using a math city map on mathematical connection ability (KKM, (2) test the effect of AQ on students' mathematical connection ability in MCM-assisted PBL learning. This research is a mixed method research with an explanatory sequential design with a quantitative portion greater than qualitative. The population of this study was grade VII students of SMPN 2 Ambarawa. Qualitative data was taken based on students' AQ, namely the climber, camper, and quitter categories. Quantitative data analysis techniques with parametric statistics such as mean tests, classical due diligence, and regression tests. Qualitative data analysis techniques use data reduction, presentation, and conclusions. The results showed that (1) MCM-assisted PBL learning was effective in improving students' mathematical connections (2) there was an influence of AQ on students' mathematical connection abilities in MCM-assisted PBL learning
Analisis Kemampuan Pemecahan Masalah Matematis Ditinjau dari Self Confidence Siswa Kelas VIII Rohmatin Zukhriya; Kartono Kartono; Kristina Wijayanti
Edumatica : Jurnal Pendidikan Matematika Vol 14 No 3 (2024): Edumatica: Jurnal Pendidikan matematika (Desember 2024)
Publisher : Department of Mathematics Education, Faculty of Teacher Training and Education, Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/edumatica.v14i3.38204

Abstract

Mathematical problem-solving ability is one of the basic skills that helps students solve mathematical problems. This study aims to describe mathematical problem-solving skills based on the level of self-confidence. The research method is descriptive and qualitative. In this study, testing instruments and questionnaires were used for data collection. The study participants were six students which students representing high, medium, and low self-confidence categories with the sampling technique using a purposive sampling technique. The data analysis techniques in this study are data reduction, data presentation, and conclusion. The study findings show that students in the high confidence category could meet all the indicators of mathematical problem-solving ability. Students in the medium confidence category can meet three indicators of mathematical problem-solving ability, namely, constructing new knowledge through problem-solving, implementing and adapting appropriate plans/strategies to solve problems, and solving problems that arise in mathematics and other situations. Meanwhile, students in the low confidence category can meet the indicator of the mathematical problem-solving ability to construct new knowledge through problem-solving. Therefore, this research is expected to provide input for teachers to design lessons that can help students develop their mathematical problem-solving skills.
Determine the Determinant of 4xn Non-Square Matrix Using Radić’s Determinant Intan Wahyuningsih; Kristina Wijayanti
Unnes Journal of Mathematics Vol. 13 No. 2 (2024): Unnes Journal of Mathematics Volume 2, 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v13i2.6698

Abstract

A non-square matrix is a matrix that has a different number of rows and columns. In the modified double-guard Hill cipher algorithm, a non-square matrix is used as the private key matrix that plays a role in the message encryption and decryption process. Therefore, the determinant of the key matrix is needed to obtain the inverse of the key matrix. Mirko Radić defined the determinant of matrix Amxn, m<=n as the signed sum of the determinants of the mxm submatrices as many as C (n, m). Radić’s determinant can be used to determine the general formula for the determinant of certain non-square matrices. The purpose of this research is to find out the determinant of matrix  R = [\matrix (1&0&0&...&0&0@0&1&0&...&0&0@0&a_1&a_2&...&a_i&0@0&0&0&...&0&1)], ai ∈ R, ∀i=1,2,...,n-2 where n>4, using Radić’s determinant and an example of its use. The result of this research are the following theorem. If a non-square matrix R = [\matrix (1&0&0&...&0&0@0&1&0&...&0&0@0&a_1&a_2&...&a_i&0@0&0&0&...&0&1)], ai ∈ R, ∀i=1,2,...,n-2 where n>4 then |R|= Σ (-1)i+1 ai , for n odd and Σ (-1)i ai, for n even  where i=2 to n-2. The use of the theorem is shown in an example problem using the modified double-guard Hill cipher where matrix R is chosen as the private key matrix. Several conditions must be met by the matrix R  to be selected as the key matrix, including all elements of matrix R being positive integers, |R|\neq 0 , and R invertible in modulo 128.