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Improving Mathematical Communication Skills Through the Geogebra-helped PBL and Direct Instruction Reviewed from the Level of Learning Independence Hadi Hadi; Wahyudin Wahyudin; Dian Usdiyana
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 12, No 1: January 2024
Publisher : IKIP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v12i1.9689

Abstract

This research aims to analyze the improvement of junior high school students' mathematical communication skills through Problem Based Learning (PBL) assisted by Geogebra and Direct Instruction assisted by Geogebra. The research also considers the level of student learning independence. The research method used was a quasi-experiment with a pretest-posttest design and a control group, involving two treatment groups. groups that underwent the PBL approach with the help of Geogebra and Direct Instruction with the help of Geogebra. Students in this study were divided based on their level of learning independence. Data was collected through an initial test (pretest), implementation of learning, and a final test (posttest). Data analysis involved a comparison between the increase in students' mathematical communication skills before and after treatment in the two treatment groups, as well as the influence of the level of learning independence on increasing mathematical communication skills. The research results show that both learning approaches contribute to improving students' mathematical communication skills. However, the group that took part in PBL assisted by Geogebra showed more significant improvement compared to the Direct Instruction group assisted by Geogebra. In addition, it was identified that the level of student learning independence influences the results of improving mathematical communication skills, where students with a high level of learning independence tend to benefit more from PBL assisted by Geogebra. In order to improve students' mathematical communication skills in learning spatial material, it is recommended that educators consider using Geogebra-assisted PBL and pay attention to students' level of learning independence in designing effective learning strategies. 
Isotherm adsorption characteristics of carbon microparticles prepared from pineapple peel waste Nandiyanto, Asep Bayu Dani; Santiuly Girsang, Gabriela Chelvina; Maryanti, Rina; Ragadhita, Risti; Anggraeni, Sri; Fauzi, Fajar Miraz; Sakinah, Putri; Astuti, Asita Puji; Usdiyana, Dian; Fiandini, Meli; Dewi, Mauseni Wantika; Al-Obaidi, Abdulkareem Sh. Mahdi
Communications in Science and Technology Vol 5 No 1 (2020)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1227.71 KB) | DOI: 10.21924/cst.5.1.2020.176

Abstract

The objective of this study was to investigate isotherm adsorption of carbon microparticles from pineapple peel waste. Carbon microparticles were prepared by carbonizing pineapple peel waste at 215-250°C and grinding using a saw-milling process. To investigate adsorption properties of carbon microparticles, experiments were done by evaluating adsorption of curcumin (as a model of adsorbate) in the ambient temperature and pressure under constant pH condition. To confirm the adsorption characteristics, carbon particles with different sizes (i.e., 100, 125, and 200 ?m) were tested, and the adsorption results were compared with several standard isotherm adsorption models: Langmuir, Freundlich, Temkin, and Dubinin- Radushkevich. To support the adsorption analysis, several characterizations (i.e., optical microscope, sieve test, and Fourier transform infrared analysis) were conducted. The adsorption test showed that the adsorption profile is fit to the Freundlich model for all variations, indicating the multilayer adsorption process on heterogeneous surfaces and interactions between adsorbate molecules. The results from other isotherm models also confirmed that the adsorption process occurs physically via Van der Waals force in binding adsorbate on the surface of adsorbent.
Improving mathematical proof based on computational thinking components for prospective teachers in abstract algebra courses Nurlaelah, Elah; Pebrianti, Aneu; Taqiyuddin, Muhammad; Dahlan, Jarnawi Afgani; Usdiyana, Dian
Jurnal Infinity Vol 14 No 1 (2025): VOLUME 14, NUMBER 1, INFINITY
Publisher : IKIP Siliwangi and I-MES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/infinity.v14i1.p85-108

Abstract

Understanding and constructing mathematical proofs is fundamental for students in abstract algebra courses. The computational thinking approach can aid the process of compiling mathematical proofs. This study examined the impact of integrating computational thinking components in constructing mathematical proofs. The researcher employed a sequential explanatory approach to ascertain the enhancement of algebraic proof capability based on computational thinking through the t- test. A total of 32 prospective teachers in mathematics education programs were provided with worksheets for seven meetings, which were combined with computational thinking components. Quantitative data were collected from initial and subsequent test instruments. Moreover, three prospective teachers were examined through case studies to investigate their mathematical proof capability using computational thinking components, including decomposition, abstraction, pattern recognition, and algorithmic thinking. The study's findings indicated that CT intervention enhanced students' logical reasoning, proof-writing abilities, and overall engagement with abstract algebra concepts. The findings illustrate that integrating computational thinking into learning strategies can provide a framework for developing higher-order thinking skills, especially in proving, which are essential for studies in mathematics education programs.
Problem Solving in Geometry Teaching for Pre-service Mathematics Teacher Students from a Computational Thinking Perspective Jupri, Al; Usdiyana, Dian; Gozali, Sumanang Muhtar
Kreano, Jurnal Matematika Kreatif-Inovatif Vol. 15 No. 2 (2024): Kreano, Jurnal Matematika Kreatif-Inovatif
Publisher : UNNES JOURNAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/b5tvse94

Abstract

Computational thinking and problem-solving skills are necessary for the future careers of pre-service mathematics teacher students in the 21st century. This study aims to analyse problem-solving activities in geometry teaching and corresponding assessment for pre-service mathematics teacher students from a computational thinking perspective. To do so, we carried out a qualitative case study through teaching and learning observations involving 41 pre-service mathematics teacher students from one of the state universities in West Java, Indonesia. In this study, 6 x 50 minutes of geometry teaching were observed, and written work containing problem-solving processes retrieved from the formative assessment was analysed from the computational thinking perspective. The results showed that two types of problem-solving activities are identified from the teaching and learning processes and the corresponding assessment, i.e., problem to find and problem to prove. We view that a problem to prove can typically be considered as a structured problem to find. Both types of problems can be fruitfully analysed using Polya’s problem-solving strategy from the computational thinking perspective. For future research, we recommend investigating each type of problem using more specific characteristics of computational thinking. Keterampilan berpikir komputasi (computational thinking)  dan pemecahan masalah diperlukan untuk karir masa depan mahasiswa calon guru matematika di abad ke-21. Penelitian ini bertujuan untuk menganalisis aktivitas pemecahan masalah dalam proses pembelajaran geometri dan asesmennya untuk mahasiswa calon guru matematika dari perspektif berpikir komputasi. Untuk itu, kami melakukan studi kasus kualitatif melalui observasi proses pembelajaran yang melibatkan 41 mahasiswa calon guru matematika dari salah satu universitas negeri di Jawa Barat, Indonesia. Dalam penelitian ini, kami mengobservasi pembelajaran geometri untuk calon guru matematika selama 6 x 50 menit, dan hasil tes tertulisnya yang berisi proses pemecahan masalah yang dianalisis dari perspektif berpikir komputasi. Hasil penelitian menemukan adanya dua jenis tipe pemecahan masalah, yang diidentifikasi dari pengamatan proses pembelajaran dan penilaian formative, yaitu masalah tipe menemukan dan masalah tipe membuktikan. Kami memandang bahwa masalah tipe membuktikan sebagai masalah terstruktur dari tipe menemukan. Kedua tipe masalah tersebut dapat dianalisis dengan baik menggunakan strategi pemecahan masalah Polya dari perspektif berpikir komputasi. Untuk penelitian mendatang, kami merekomendasikan untuk menelaah lebih lanjut setiap tipe masalah dengan menggunakan karakteristik berpikir komputasi yang lebih spesifik.
MODEL PEMBELAJARAN OSBORN UNTUK MENINGKATKAN KEMAMPUAN PEMECAHAN MASALAH MATEMATIS SISWA Nurafifah, Luthfiyati; Nurlaelah, Elah; Usdiyana, Dian
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 1 No. 2 (2016): Mathline
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v1i2.21

Abstract

The purpose of this research is to find out the increase of student’s mathematical problem solving competence through the implementation of Osborn Learning Model, as well as compare it with the student who earned conventional learning. In addition, the purpose of this research is to find out the increase of mathematical problem solving competence on a group of student with high, middle, and low capability. The next purpose is to find out the attitude of the students against the osborn learning model. Methods used in this research is quasi Experimenter Method with pretest and post-test Marginalized Control Design. Population on this research are all of students of VIII grades in SMPN 1 Bandung. Samples on this research are two classes of VIII grades, one class as Experimental Class and the other one as control class. Research data obtained through the test of student’s mathematical problem solving competence, questionnaire, and observation sheets. The result of this research shows that the increasing of student’s mathematical problem solving competence with Osborn Learning Model better than the increasing of student’s mathematical problem solving competence with conventional learning. There are differences in the increasing competence on the groups of high capability, middle capability and low capability in osborn class and conventional class. In general, the students give a positive attitude against Osborn Learning Model.
Improving mathematical proof based on computational thinking components for prospective teachers in abstract algebra courses Nurlaelah, Elah; Pebrianti, Aneu; Taqiyuddin, Muhammad; Dahlan, Jarnawi Afgani; Usdiyana, Dian
Jurnal Infinity Vol 14 No 1 (2025): VOLUME 14, NUMBER 1, INFINITY
Publisher : IKIP Siliwangi and I-MES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/infinity.v14i1.p85-108

Abstract

Understanding and constructing mathematical proofs is fundamental for students in abstract algebra courses. The computational thinking approach can aid the process of compiling mathematical proofs. This study examined the impact of integrating computational thinking components in constructing mathematical proofs. The researcher employed a sequential explanatory approach to ascertain the enhancement of algebraic proof capability based on computational thinking through the t- test. A total of 32 prospective teachers in mathematics education programs were provided with worksheets for seven meetings, which were combined with computational thinking components. Quantitative data were collected from initial and subsequent test instruments. Moreover, three prospective teachers were examined through case studies to investigate their mathematical proof capability using computational thinking components, including decomposition, abstraction, pattern recognition, and algorithmic thinking. The study's findings indicated that CT intervention enhanced students' logical reasoning, proof-writing abilities, and overall engagement with abstract algebra concepts. The findings illustrate that integrating computational thinking into learning strategies can provide a framework for developing higher-order thinking skills, especially in proving, which are essential for studies in mathematics education programs.
PENERAPAN PENDEKATAN PENDIDIKAN MATEMATIKA REALISTIK INDONESIA UNTUK PENCAPAIAN KEMAMPUAN PENALARAN INDUKTIF MATEMATIS SISWA Adzni Nurul Fajriani; Jarnawi Afgani Dahlan; Dian Usdiyana
Journal on Mathematics Education Research (J-MER) Vol 1, No 1 (2020)
Publisher : Departemen Pendidikan Matematika, FPMIPA, UPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/j-mer.v1i1.24571

Abstract

Penelitian ini bertujuan untuk: 1) Mengkaji perbedaan pencapaian kemampuan penalaran induktif  matematis antara siswa yang memperoleh pembelajaran dengan pendekatan PMRI dan siswa yang memperoleh pembelajaran dengan pendekatan saintifik; 2) Mengetahui sikap siswa terhadap pembelajaran matematika dengan menggunakan pendekatan PMRI; 3) Mengkaji jenis-jenis kesalahan yang dilakukan siswa dalam menyelesaikan soal-soal penalaran induktif matematis. Penelitian ini menggunakan metode kuasi eksperimen dengan desain penelitian post-test only control group design. Populasi pada penelitian ini adalah siswa kelas VIII di salah satu SMP Negeri di Kota Bandung. Sampel yang terpilih adalah siswa kelas VIII-B dan siswa kelas VIII-D. Instrumen yang digunakan adalah tes kemampuan penalaran induktif matematis, angket sikap siswa, dan lembar observasi. Intrumen tes berupa soal uraian sesuai dengan indikator dari kemampuan penalaran induktif memiliki reliabilitas dengan kategori sedang. Data yang digunakan untuk menganalisis pencapaian kemampuan penalaran induktif adalah nilai postes kedua kelas dengan bantuan software SPSS 23. Hasil penelitian menunjukkan bahwa 1) Terdapat perbedaan pencapaian kemampuan penalaran induktif matematis antara siswa yang memperoleh pembelajaran dengan pendekatan PMRI dan siswa yang memperoleh pembelajaran dengan pendekatan saintifik; 2) Siswa menunjukkan sikap positif terhadap pembelajaran matematika dengan menggunakan pendekatan PMRI; 3) Kesalahan-kesalahan yang dilakukan siswa dalam menyelesaikan soal-soal penalaran induktif matematis diantaranya: Kesalahan memahami soal, Kesalahan konsep, Kesalahan prinsip/ langkah pengerjaan soal, dan Kesalahan operasi.
Improving mathematical proof based on computational thinking components for prospective teachers in abstract algebra courses Nurlaelah, Elah; Pebrianti, Aneu; Taqiyuddin, Muhammad; Dahlan, Jarnawi Afgani; Usdiyana, Dian
Jurnal Infinity Vol 14 No 1 (2025): VOLUME 14, NUMBER 1, INFINITY
Publisher : IKIP Siliwangi and I-MES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/infinity.v14i1.p85-108

Abstract

Understanding and constructing mathematical proofs is fundamental for students in abstract algebra courses. The computational thinking approach can aid the process of compiling mathematical proofs. This study examined the impact of integrating computational thinking components in constructing mathematical proofs. The researcher employed a sequential explanatory approach to ascertain the enhancement of algebraic proof capability based on computational thinking through the t- test. A total of 32 prospective teachers in mathematics education programs were provided with worksheets for seven meetings, which were combined with computational thinking components. Quantitative data were collected from initial and subsequent test instruments. Moreover, three prospective teachers were examined through case studies to investigate their mathematical proof capability using computational thinking components, including decomposition, abstraction, pattern recognition, and algorithmic thinking. The study's findings indicated that CT intervention enhanced students' logical reasoning, proof-writing abilities, and overall engagement with abstract algebra concepts. The findings illustrate that integrating computational thinking into learning strategies can provide a framework for developing higher-order thinking skills, especially in proving, which are essential for studies in mathematics education programs.
Exploring pre-service mathematics teachers’ thinking for solving linear programming word problems Jupri, Al; Usdiyana, Dian; Gozali, Sumanang Muhtar
Journal of Honai Math Vol. 7 No. 3 (2024): Journal of Honai Math
Publisher : Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jhm.v7i3.748

Abstract

Solving word problems in linear programming presents significant challenges, not only for secondary school students but also for pre-service mathematics teachers. This study aims to investigate the cognitive processes of pre-service mathematics teachers in solving word problems related to linear programming. To achieve this objective, a comprehensive review of mathematics textbooks designed for pre-service teachers and secondary school students, as well as the corresponding curriculum, was conducted to identify an appropriate learning sequence for this topic. Subsequently, key problems were selected to facilitate learning, and predictions regarding the cognitive processes involved in solving these problems were formulated based on Newman’s error analysis framework. Following this preparatory phase, an individual written assessment was administered to 27 pre-service mathematics teachers to examine their problem-solving approaches in linear programming word problems. The findings of this study include the identification of essential word problems in linear programming and a comparative analysis between the predicted and actual problem-solving processes exhibited by the participants. In conclusion, this study highlights the potential of cognitive process predictions in anticipating learning difficulties and informing instructional strategies. These insights can be leveraged to provide targeted support for pre-service teachers facing challenges in problem-solving and to develop pedagogical interventions aimed at enhancing their problem-solving skills.
Teaching and learning process for mathematization activities: The case of solving maximum and minimum problems Jupri, Al; Usdiyana, Dian; Sispiyati, Ririn
JRAMathEdu (Journal of Research and Advances in Mathematics Education) Volume 6 Issue 2 April 2021
Publisher : Lembaga Pengembangan Publikasi Ilmiah dan Buku Ajar, Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jramathedu.v6i2.13263

Abstract

One of the topics within the course of Essential Concepts in School Mathematics (ECSM) for prospective mathematics teachers concerns maximum and minimum problems. This type of problems requires mathematization, i.e., the activity of transforming a problem into a symbolic mathematics problem and of reorganizing within the mathematical system, in the solution process. This research aims to investigate the implementation of the learning and teaching process of the ECSM course that strengthen prospective mathematics teachers’ conceptual understanding and problem solving abilities through mathematization activities. To reach this aim, this qualitative study was conducted through an observation of the learning and teaching process, including the formative written assessment, for the case of maximum and minimum problems, involving 19 students of mathematics education program. The results of this study revealed that the learning and teaching process is implemented by emphasizing the use of a deductive approach. The written assessment showed students’ strategies and difficulties in dealing with maximum and minimum problems. Main difficulties included constructing visual representations and mathematical models in the mathematization processes. It can be concluded that the learning and teaching processes of the ECSM course need to be improved so as to develop better conceptual understanding and problem solving abilities through mathematization activities.