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All Journal Journal of Education and Learning (EduLearn) Jurnal S2 Pendidikan Matematika Jurnal Karya Pendidikan Matematika AKSIOMA: Jurnal Program Studi Pendidikan Matematika AlphaMath: Journal of Mathematics Education Jurnal Mercumatika : Jurnal Penelitian Matematika dan Pendidikan Matematika Jurnal Pembelajaran Matematika JCES (Journal of Character Education Society) Buana Matematika : Jurnal Ilmiah Matematika dan Pendidikan Matematika Ideas: Jurnal Pendidikan, Sosial dan Budaya Ed-Humanistics : Jurnal Ilmu Pendidikan Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Edudikara: Jurnal Pendidikan dan Pembelajaran Jurnal Litbang Provinsi Jawa Tengah Mosharafa: Jurnal Pendidikan Matematika Jurnal Abdimas Bina Bangsa Dedikasi: Jurnal Pengabdian kepada Masyarakat Unnes Journal of Mathematics Education Prosiding Seminar Nasional Pascasarjana Al-'Adad: Jurnal Tadris Matematika Journal of Mathematical Pedagogy (JOMP) Prosiding Seminar Nasional Unimus Riemann : Research of Mathematics and Mathematics Education E-Amal: Jurnal Pengabdian Kepada Masyarakat Hipotenusa: Journal of Mathematical Society Konstruktivisme : Jurnal Pendidikan dan Pembelajaran
Siti Suprihatiningsih
Universitas Katolik Santo Agustinus Hippo
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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Analysis of Artificial Intelligence Assisted Proof Process Through Principle of Mathematical Induction in Real Analysis Course Lestari, Isnawati Lujeng; Sari, Mayang; Uripno, Gusti; Suprihatiningsih, Siti; Hariyanti, Firda; Bonyah, Ebenezer
Journal of Mathematical Pedagogy (JoMP) Vol. 6 No. 2: July 2025
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jomp.v6n2.p94-102

Abstract

The low proficiency of Mathematics Education students in constructing mathematical proofs, especially using the principle of mathematical induction, highlights the need for enhanced learning approaches. One promising method is the integration of Artificial Intelligence (AI) into the proof process within Real Analysis courses. This study aims to describe how students carry out mathematical induction proofs with the assistance of AI. Ten voluntary students enrolled in Real Analysis participated in an initial test involving divisibility problem. From this group, two students were selected through maximum variation sampling based on their answer diversity and communication skills. One student employed a modulo-based approach, while the other used the divisibility-definition concept. Overall, the results demonstrate that AI significantly supports students in understanding problems, planning proofs, implementing strategies, and revising their reasoning. AI played a critical role in concept generation, solution evaluation, and embedded reflection across each stage of Polya’s problem-solving framework, combined with the three aspects of AI-assisted proof: construction, evaluation, and revision
Analisis Kemampuan Literasi Statistik Mahasiswa dalam Penyelesaian Masalah Statistika Marfuah, Iim; Suprihatiningsih, Siti; Kurniawan, Indra
Konstruktivisme : Jurnal Pendidikan dan Pembelajaran Vol 17 No 2 (2025): Juli 2025
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/konstruk.v17i2.4648

Abstract

Penelitian ini bertujuan untuk menganalisis kemampuan literasi statistik mahasiswa dalam menyelesaikan permasalahan statistika. Penelitian ini menggunakan pendekatan kualitatif deskriptif untuk menganalisis kemampuan literasi statistik. Subjek penelitian adalah 25 mahasiswa semester 3 Th 2024/2025 Universitas Indraprasta PGRI Jakarta. Instrumen yang digunakan berupa tes uraian terkait materi statistika dasar. Analisis yang dilakukan adalah ditinjau dari kategori kemampuan literasi statistik tinggi, sedang dan rendah. Hasil penelitian menunjukkan bahwa 16% mahasiswa berada pada kategori kemampuan tinggi, 60% pada kategori sedang, dan 24% pada kategori rendah. Kemampuan literasi statistik mahasiswa dengan kemampuan tinggi adalah mampu membaca, menafsirkan, dan mengkomunikasikan data secara baik, meskipun masih ditemukan kesalahan minor dalam pembulatan angka. Mahasiswa kategori sedang menunjukkan beberapa kesalahan dalam membaca simbol dan operasi statistik, sedangkan mahasiswa kategori rendah mengalami kesulitan dalam memahami konsep dasar statistika dan pembacaan data. Temuan ini dapat digunakan sebagai acuan para pengajar agar dapat menerapkan pembelajaran sesuai dengan masing-masing kategori kemampuan literasi statistik sehingga mahasiswa dapat penguatan konsep sehingga literasi statistik mahasiswa dapat lebih baik.
Bibliometrics Analysis of AI Integration in Mathematics Teaching Tupulu, Nasri; Konstansia Hermiati; Gusti Uripno; Siti Suprihatiningsih; Rangkuti, Rizki Kurniawan
Mosharafa: Jurnal Pendidikan Matematika Vol. 13 No. 2 (2024): April
Publisher : Department of Mathematics Education Program IPI Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/mosharafa.v13i2.1699

Abstract

Studi literatur ini bertujuan untuk menganalisis tren penelitian dengan menggunakan analisis bibliometrik yang terkait dengan Kecerdasan Buatan (AI) dalam pengajaran matematika. Pentingnya AI dalam pengajaran matematika tidak sesuai dengan banyaknya penelitian tentang hal tersebut. Sehingga penelitian ini disusun dengan tujuan untuk mengidentifikasi penelitian berkaitan dengan integrasi AI dalam pengajaran matematika selama 10 tahun terakhir.  Kata kunci yang digunakan untuk mengumpulkan artikel adalah “artificial intelligence” dan “mathematics teaching” dan diperoleh 460 dokumen di database scopus. Penelitian ini dilakukan dengan membatasi jumlah dokumen tergantung pada tahun, bahasa, dan jenis artikel. Batas tahun pada tahun 2014 hingga 2024, bahasa dibatasi hanya bahasa Inggris, dan dokumen dibatasi hanya pada jenis artikel. Jumlah dokumen dalam dekade terakhir meningkat dari 6 dokumen menjadi 26 dokumen. Zhongda Sun, yang berkecimpung dalam kecerdasan komputer, adalah penulis yang paling banyak dikutip. Negara paling produktif adalah Tiongkok yang menyalip jumlah publikasi Australia pada tahun 2021. Kecerdasan buatan dalam pengajaran matematika populer dalam ilmu sosial dan ilmu komputer dengan topik yang paling populer adalah siswa, kecerdasan buatan, dan guru. This literature study aims to analyze research trends by using bibliometrics analysis that related to Artificial Intelligence (AI) in mathematics teaching. The impact of AI in mathematics teaching did not match to the number of mathematics teaching research. So, this bibliometric study conducted in order to identify AI integration in mathematics teaching in last decade. Article gathered by two keywords, which are “artificial intelligence” and “mathematics teaching”and found 460 documents in scopus database. This study conducted by limiting the number of documents depend on years, language, and article type. The years limit in 2014 to 2024, languages limit to english only, and the documents limit to article type only. The number of documents in the last decade is increasing from 6 documents into 26 documents. Zhongda Sun, that concern in computer intelligence, is the most cited author. The most productive country was China that overtake Australia’s number of publications in 2021. Artificial intelligence in mathematics teaching was popular in social science and computer science and the most popular topics are students, artificial intelligence, and teacher.
Analysis of Mathematical Logic and Computational Thinking Abilities of Informatics Engineering Students on Learning Achievement in Calculus Courses Triana Harmini; Siti Suprihatiningsih
Mosharafa: Jurnal Pendidikan Matematika Vol. 13 No. 4 (2024): October
Publisher : Department of Mathematics Education Program IPI Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/mosharafa.v13i4.1787

Abstract

Abstrak Penelitian ini bertujuan untuk mengkaji hubungan antara kemampuan logika matematika dan berpikir komputasional dengan prestasi belajar mahasiswa dalam mata kuliah Kalkulus. Studi ini melibatkan 66 siswa semester pertama Program Studi Teknik Informatika pada tahun akademik 2022/2023.  Tes untuk mengukur kemampuan berpikir logika dan komputasional serta instruksi untuk mengumpulkan data tentang prestasi belajar adalah bagian dari metode pengumpulan data. Analisis data dilakukan menggunakan korelasi Pearson bivariat dan regresi linear berganda, dengan pengujian prasyarat yang mencakup uji normalitas, homoskedastisitas, multikolinearitas, dan autokorelasi. Hasil analisis menunjukkan terdapat hubungan yang signifikan antara berpikir komputasional dengan prestasi belajar (r = 0,715), antara logika matematika dengan prestasi belajar (r = 0,781), serta antara berpikir komputasional dan logika matematika (r = 0,661). Temuan ini mengindikasikan pentingnya integrasi kemampuan logika matematika dan berpikir komputasional dalam proses pembelajaran Kalkulus, yang dapat diupayakan melalui pendekatan pedagogis yang tepat serta pengembangan media pembelajaran yang mendukung. Abstract This study aims to examine the relationship between mathematical logic skills and computational thinking with students' academic performance in the Calculus course. This study involved 66 first-semester students of the Computer Engineering Study Program in the 2022/2023 academic year. Tests to measure logical and computational thinking abilities, as well as instructions for collecting data on learning achievements, are part of the data collection methods. Data analysis was conducted using bivariate Pearson correlation and multiple linear regression, with prerequisite tests including normality, homoscedasticity, multicollinearity, and autocorrelation tests. The analysis results show a significant relationship between computational thinking and academic achievement (r = 0.715), between mathematical logic and academic achievement (r = 0.781), as well as between computational thinking and mathematical logic (r = 0.661). These findings indicate the importance of integrating mathematical logic skills and computational thinking in the learning process of Calculus, which can be pursued through appropriate pedagogical approaches and the development of supportive learning media.
Exploring Students' Visualization Skills concerning Learning Styles Konstansia Hermiati; Tupulu, Nasri; Suprihatiningsih, Siti
Mosharafa: Jurnal Pendidikan Matematika Vol. 13 No. 4 (2024): October
Publisher : Department of Mathematics Education Program IPI Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/mosharafa.v13i4.1970

Abstract

Abstrak Kemampuan visualisasi merupakan aspek krusial dalam memahami materi dimensi tiga. Tujuan penelitian ini yaitu menggambarkan kemampuan visualisasi siswa sekolah menengah atas dalam pembelajaran materi dimensi tiga berdasarkan gaya belajar. Subjek penelitian kualitatif ini dipilih dengan metode purposive sampling. Teknik pengumpulan data menggunakan tes essay berdasarkan indikator ketrampilan visualisasi. Teknik analisis data meliputi pengumpulan data, kategorisasi data, penyajian data dan penarikan kesimpulan. Hasil penelitian menunjukkan kemampuan visualisasi siswa berbeda berdasarkan gaya belajar. Siswa dengan gaya belajar visual menunjukkan kemampuan visualisasi yang sangat baik yaitu menyelesaian masalah, pencarian pola, pengonsepan, pengimajinasian, dan memvisualkan. Siswa dengan gaya belajar auditori menyelesaikan masalah, pencarian pola, dan memvisualkan, namun belum optimal dalam pengimajinasian dan pengonsepan. Siswa dengan gaya belajar kinestetik menyelesaian masalah dan pencarian pola, sedangkan mengimajinasikan hanya tercapai sebagian, dan pengonsepan serta memvisualkan belum terpenuhi secara memadai. Temuan ini menunjukkan adanya hubungan erat antara gaya belajar dan pencapaian kemampuan visualisasi dalam memahami materi dimensi tiga. Abstract Visualization ability is a crucial aspect in understanding three-dimensional material. The purpose of this study is to describe the visualization ability of high school students in learning three-dimensional material based on learning styles. The subjects of this qualitative study were selected using the purposive sampling method. The data collection technique used an essay test based on visualization skill indicators. Data analysis techniques include data collection, data categorization, data presentation and drawing conclusions. The results of the study showed that students' visualization abilities differed based on learning styles. Students with a visual learning style showed very good visualization abilities, namely solving problems, finding patterns, conceptualizing, imagining, and visualizing. Students with an auditory learning style solved problems, finding patterns, and visualizing, but were not optimal in imagining and conceptualizing. Students with a kinesthetic learning style solved problems and searching for patterns, while imagining was only partially achieved, and conceptualizing and visualizing had not been adequately fulfilled. These findings indicate a close relationship between learning styles and the achievement of visualization abilities in understanding three-dimensional material.
Implementing Mobile Learning with Differentiated Instruction in Calculus: Student Learning Styles Analysis Triana Harmini; Dihin Muriyatmoko; Siti Suprihatiningsih; Ebenezer Bonyah
Hipotenusa: Journal of Mathematical Society Vol. 7 No. 1 (2025): Hipotenusa : Journal of Mathematical Society
Publisher : Program Studi Tadris Matematika Universitas Islam Negeri (UIN) Salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18326/hipotenusa.v7i1.3883

Abstract

This study aims to examine: (1) differences in Calculus learning achievement between students using mobile learning with differentiated instruction (DI) and those using modules, (2) differences in achievement based on students' learning styles, and (3) the interaction between instructional methods and learning styles on learning outcomes. The participants were 112 Informatics Engineering students at Universitas Darussalam Gontor in the 2023/2024 academic year, divided into two groups: 59 students in the experimental group (using mobile learning) and 53 in the control group (using modules). The study was conducted over five sessions on the topic of Absolute Value Equations and Inequalities. A quasi-experimental method with a 2x3 factorial design was used. The research instruments included an achievement test and a learning style questionnaire. Data were analyzed using two-way ANOVA after confirming normality and homogeneity assumptions. The results showed that: (1) mobile learning with DI is more effective than modules, (2) learning styles significantly affect learning achievement, and (3) there is no interaction between instructional method and learning style. These findings suggest that mobile learning with DI can be effectively implemented regardless of students' learning styles and supports the development of inclusive digital learning environments in higher education.
EFEKTIVITAS MODEL PEMBELAJARAN KOOPERATIF TIPE PAIR CHECKS TERHADAP PRESTASI BELAJAR SISWA SMA NEGERI 1 JELIMPO KABUPATEN LANDAK Suprihatiningsih, Siti
Ed-Humanistics : Jurnal Ilmu Pendidikan Vol 4 No 1 (2019): Ed-Humanistics
Publisher : Fakultas Ilmu Pendidikan (FIP) Universitas Hasyim Asy'ari (Unhasy) Tebuireng Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/ed-humanistics.v4i1.354

Abstract

AbstractThe low level of mathematics learning achievement is one of the problems that is difficult tosolve. Many factors are related to these problems, one of which is the use of appropriate learningmethods in learning. The purpose of this study is to determine the effectiveness of mathematicslearning using the pairs checks method on mathematics learning achievement. The method used inthis study is a quantitative method with comparative studies, with a prerequisite test of the analysisof the normality test and homogeneity test and hypothesis testing using the t-test. The resultsshowed that the pairing type cooperative learning model was more effective than the directlearning model of learning achievement, it can be seen from the average value of students whowere taught using the pair checks type cooperative learning model that is 73.50 while studentswho were taught with direct learning models has the average value which is 54.18. This isreinforced by the hypothesis testing based on the ratio t_count to t_ (1-α) at a significant level of5% or α = 0.05 indicating that t_count is greater than t_ (1-α) (1.731585> 1.67022).Keywords: methods, pair checks, mathematics.
Co-Authors Anggraeni, Rani Anisatul Farida Aprilia Mercy Ardymulya Iswardani Arif S, Nugroho Aziz Musthafa Bernadeta Ritawati Bonyah, Ebenezer Dewi Retno Sari S Dewi Retno Sari S Dihin Muriyatmoko Ebenezer Bonyah Firda Hariyanti Friantini, Rizki Nurhana Happy Oktaviani Hendra Yulianto Iim Marfuah Imam Sujadi Imam Sujadi Indra Kurniawan Iren Kartika Sari Kintoko Kintoko Kintoko, Kintoko Konstansia Hermiati Lestari, Isnawati Lujeng Lisa Levia Miranda MASRIYAH Mayang Sari Miftah Ar Razy Muhammad Firman Annur Nabiila Fatimatuz Zahra Nugroho Arif Sudibyo Panyule, Selvinus Lando Pradipta Annurwanda Pradipta Annurwanda Pradipta Annurwanda, Pradipta Rahmat Winata Rian Rian Richatul Asmah Rizki Kurniawan Rangkuti Rizki Nurhana Friantini Rizki Nurhana Friantini Rizki Nurhana Friantini Rooselyna Ekawati Sangkot Idris Ritonga Sary Oktalita Sumantupang Selvinus Lando Panyule Sri Maya Lestari SRI RAHAYU Triana Harmini Tupulu, Nasri Uripno, Gusti Wahyu Azhar Ritonga Zakaria Susanto ZUNAEDY PASARIBU, ENDI