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All Journal Publikasi Pendidikan Jurnal Sains Dasar Indonesian Journal of Mathematics and Natural Sciences Abdimas Jurnal Penelitian Pendidikan Kreano, Jurnal Matematika Kreatif-Inovatif Lembaran Ilmu Kependidikan Scientific Journal of Informatics Phenomenon : Jurnal Pendidikan MIPA Jurnal TAM (Technology Acceptance Model) CARADDE: Jurnal Pengabdian Kepada Masyarakat JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Symmetry: Pasundan Journal of Research in Mathematics Learning and Education JISKa (Jurnal Informatika Sunan Kalijaga) Vygotsky: Jurnal Pendidikan Matematika dan Matematika Imajiner: Jurnal Matematika dan Pendidikan Matematika J-PiMat : Jurnal Pendidikan Matematika Range : Jurnal Pendidikan Matematika Jurnal Statistika dan Matematika (Statmat) Primatika : Jurnal Pendidikan Matematika Griya Journal of Mathematics Education and Application Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal PKM Manajemen Bisnis Unnes Journal of Mathematics Education Unnes Journal of Mathematics Edukasia: Jurnal Pendidikan dan Pembelajaran Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Hipotenusa: Journal of Mathematical Society CARONG: Jurnal Pendidikan, Sosial dan Humaniora Jurnal Pendidikan MIPA Jurnal TAM (Technology Acceptance Model) Unnes Journal of Mathematics SJME (Supremum Journal of Mathematics Education) E-Jurnal Matematika Eduma : Mathematics Education Learning and Teaching Unnes Journal of Mathematics Education Research
Putriaji Hendikawati
Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Negeri Semarang
Religion Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Physics Social Sciences Other

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A Hypothetical Learning Trajectory Design for Social Arithmetic to Fostering Computational Thinking and Self-Regulated Learning Abilities Santika Lya Diah Pramesti; Scolastika Mariani; Putriaji Hendikawati; Kartono Kartono; Masrukan Masrukan
EDUKASIA Jurnal Pendidikan dan Pembelajaran Vol. 6 No. 2 (2025): Edukasia: Jurnal Pendidikan dan Pembelajaran
Publisher : LP. Ma'arif Janggan Magetan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62775/edukasia.v6i2.1493

Abstract

This study aims to design a Hypothetical Learning Trajectory (HLT) on the topic of social arithmetic to address learning obstacles related to students’ computational thinking (CT) and self-regulated learning (SRL) abilities. Employing an Educational Design Research (EDR) approach, the study developed the Missouri Mathematics Open-Ended Problem-Based Learning (MiMOPBL) model supported by an e-module based on the Predict–Observe–Explain (POE) strategy. The HLT integrates CT and SRL by guiding students through prediction, observation, and explanation stages while solving open-ended contextual problems. Validation results confirmed that the instructional tools—including lesson plans, student worksheets, e-modules, CT and SRL instruments—are both valid and reliable. Content validity assessed using Aiken’s V showed values ranging from 0.80 to 0.98, while reliability testing using Cronbach’s Alpha indicated high internal consistency (SRL: α = 0.85; CT: α = 0.89; observation sheet: α = 0.88). These results indicate that the tools are suitable for use in mathematics classrooms. Although limited to the design phase and one topic, the study offers a structured, competency-based learning design that supports student engagement, problem-solving skills, and independent learning. Future research should explore the effectiveness of this learning design across various topics and student groups.
Mathematical Reasoning Ability in Terms of Self-Efficacy in the CORE Learning Model Assisted by Liveworksheet Yuni Frazwanti; Isnarto Isnarto; Putriaji Hendikawati
Vygotsky: Jurnal Pendidikan Matematika dan Matematika Vol. 7 No. 2 (2025): Vygotsky: Jurnal Pendidikan Matematika dan Matematika
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/voj.v7i2.1276

Abstract

This study aims to analyze the quality of the CORE learning model assisted by Liveworksheet and examine the effect of self-efficacy on students' mathematical reasoning. A quantitative method with a posttest-only control group design was used. Instruments included a reasoning test, self-efficacy questionnaire, student response questionnaire, and observation sheet. The sample consisted of eighth-grade students at SMPN 16 Semarang, selected through cluster random sampling. Data analysis involved planning, implementation, evaluation, and simple linear regression. The results showed the CORE model with Liveworksheet was of good quality, and self-efficacy significantly influenced mathematical reasoning, contributing 71.6%. It is recommended that the interactive CORE model be further developed along with differentiated teaching tools to ensure learning becomes more adaptive to students’ needs.
ANALISIS SENTIMEN PROGRAM MAKAN BERGIZI GRATIS MENGGUNAKAN SVM DAN KNN DENGAN TF-IDF DAN TF-ABS SEVIRA HUKMAN MAJIDAH; PUTRIAJI HENDIKAWATI
E-Jurnal Matematika Vol. 15 No. 1 (2026)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2026.v15.i01.p496

Abstract

The Free Nutritious Meal Program, initiated by the government to improve child and maternal health, has generated varied public responses on social media. This study aims to classify public sentiment toward the program by applying machine learning models to social media text data. The dataset used consists of 9000 tweets from Platform X that have been manually labeled into positive, negative, and neutral categories. Classification was performed using Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) algorithms combined with two term weighting techniques Term Frequency-Inverse Document Frequency (TF-IDF) and Term Frequency-Absolute (TF-ABS). The performance of each model was evaluated using accuracy, precision, recall, and F1-score. The results show that SVM model with TF-ABS achieved the best performance with 99.69% accuracy, precision 99.69%, recall 99.68%, and F1-score 99.68%. The KNN model with TF-ABS also performed well, reaching 95.55% accuracy. In contrast, models employing TF-IDF demonstrated noticeably lower performance, with the SVM achieving an accuracy of [75,53%] and the KNN reaching [70,89%], indicating a clear performance gap compared to the TF-ABS weighting scheme. This research provides insights into suitable machine learning models and term weighting methods for sentiment analysis of public opinion on government programs using social media data.
Meta-Synthesis: The Effect of Problem-Based Learning Model on Students’ Mathematical Connection Ability Syifaa’ Nurhidayah; Putriaji Hendikawati; Scolastika Mariani; Isnaini Rosyida
EduMa: Mathematics education learning and teaching Vol. 14 No. 2 (2025)
Publisher : Jurusan Tadris Matematika UIN Siber Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Mathematical connection ability plays a crucial role in enabling students to understand relationships among mathematical concepts, apply mathematical ideas in real-life contexts, and develop higher-order thinking skills. However, evidence from the field indicates that students’ mathematical connection ability remains relatively low due to instructional practices that emphasize procedural mastery rather than conceptual understanding. This study aims to analyze the effect of the Problem-Based Learning (PBL) model on students’ mathematical connection ability through a meta-synthesis approach. The meta-synthesis reviewed six primary research articles selected systematically from Google Scholar, ERIC, and reputable national and international journals published between 2020 and 2025. The findings reveal that PBL consistently enhances students’ mathematical connection ability through contextual problem-solving activities, the use of visual representations and learning media, and collaborative reflection. These results indicate that PBL is an effective instructional model for strengthening students’ mathematical connections in a meaningful and applicable learning environment.
PEMBELAJARAN BIG DATA DI PERGURUAN TINGGI: POTENSI MASA DEPAN, FAKTOR PENDUKUNG DAN PENGHAMBAT Putriaji Hendikawati; Nur Achmey Selgi Harwanti; Wardono Wardono; Ardi Prabowo; Mega Dea Zahra; Wisatsana Roychan Saefurrochman
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 3 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i3.7711

Abstract

Penelitian ini bertujuan untuk menyelidiki pemahaman mahasiswa terhadap pembelajaran Big Data, mengidentifikasi faktor-faktor yang mempengaruhi keterlibatan dan keberhasilan mahasiswa dalam pembelajaran Big Data, serta memberikan wawasan yang diperlukan bagi institusi pendidikan untuk meningkatkan kurikulum dan pen-galaman pembelajaran, serta mempersiapkan mahasiswa menghada-pi tantangan dan peluang di dunia profesional yang semakin bergan-tung pada data. Metode penelitian meliputi survei, analisis data per-sepsi mahasiswa, dan wawancara mendalam. Hasil penelitian menunjukkan bahwa mahasiswa memiliki pemahaman yang me-madai mengenai konsep Big Data, dengan rata-rata tingkat keakra-ban mencapai 3.6 pada skala 1 hingga 5. Responden menilai pent-ingnya pembelajaran Big Data dengan nilai rata-rata 4.3, menunjuk-kan bahwa pembelajaran ini sangat relevan dalam pendidikan tinggi dan dunia profesional. Faktor penghambat utama yang diidentifikasi meliputi kurangnya sumber daya finansial, keterbatasan akses teknologi dan infrastruktur, perubahan kurikulum, serta minimnya kolaborasi dengan industri. Faktor pendukung dari institusi, ketersediaan teknologi yang memadai, program kursus yang ter-struktur, dan kerjasama dengan industri menunjukkan dampak posi-tif terhadap pembelajaran Big Data. Pengalaman praktis, termasuk kontribusi dari praktisi industri, memperkaya pengalaman belajar mahasiswa. Sebanyak 50 dari 53 responden menunjukkan minat yang tinggi untuk mendalami Big Data lebih lanjut, menandakan potensi besar untuk pengembangan kurikulum. Penelitian ini merekomendasikan pembaruan kurikulum agar sesuai dengan perkembangan terbaru di industri, peningkatan pelatihan bagi dosen, serta penyediaan akses teknologi dan perangkat yang lebih baik.
Model BBL Terhadap Kemampuan Berpikir Kreatif Siswa Ditinjau dari Self Regulated Learning Uswatul Khasanah; Putriaji Hendikawati; Devintha Rukmandani Adisgia
J-PiMat : Jurnal Pendidikan Matematika Vol 7, No 1 (2025): J-PiMat
Publisher : Prodi Pendidikan Matematika STKIP Persada Khatu;istiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/j-pimat.v7i1.4666

Abstract

Tujuan dari penelitian ini adalah untuk mengetahui keefektifan model Brain Based Learning (BBL) terhadap kemampuan berpikir kreatif matematis siswa, untuk menguji apakah self regulated learning (SLR) siswa berpengaruh toto12 terhadap kemampuan berpikir kreatif matematis, dan untuk mendeskripsikan kemampuan berpikir kreatif matematis siswa ditinjau dari self regulated learning (SLR) pada pembelajaran BBL. Penelitian ini menggunakan mixed methods dengan jenis penelitian the explanatory sequential design. Instrumen yang digunakan dalam penelitian ini adalah tes, angket, dan wawancara. Dalam penelitian ini diambil 6 subjek penelitian toto12 berdasarkan tingkat SLR pada siswa kelas VIII SMP Al Islam Gunungpati tahun pelajaran 2024/2025. Hasil penelitian menunjukkan bahwa (1) pembelajaran BBL efektif terhadap kemampuan berpikir kreatif matematis, (2) terdapat pengaruh SLR terhadap kemampuan berpikir kreatif matematis yaitu sebesar 63,3%, dan (3) subjek penelitian dengan kategori SLR tinggi mampu memenuhi indikator fluency, flexibility, dan novelty; subjek dengan SLR sedang mampu memenuhi indikator fluency dan flexibility; dan subjek dengan SLR rendah mampu memenuhi indikator fluency. Untuk penelitian selanjutnya dapat menerapkan dan mengembangkan model BBL dengan mengintegrasikannya dengan variabel lain.Kata Kunci: Brain Based Learning, Berpikir Kreatif Matematis, Self Regulated Learning
Development of Integrated Teaching Materials Articulate Storyline with PBL Model to Improve Students' Statistical Literacy Fradiska Muayana Zulfa; Putriaji Hendikawati
Unnes Journal of Mathematics Education Research Vol. 2 No. 1 (2025): ICT: Learning Innovation
Publisher : Postgraduate, Universitas Negeri Semarang.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujmer.v2i1.49878

Abstract

The rapid development of technology in the 21st century requires students to possess statistical literacy skills in understanding and interpreting data-based information. However, students' statistical literacy skills are still relatively low, so innovative learning approaches are needed to support more active and meaningful learning. This study aimed to develop teaching materials integrated with Articulate Storyline and the Problem Based Learning (PBL) model to improve students' statistical literacy skills. The study used the Research and Development (R&D) method with the 4D development model consisting of define, design, develop, and disseminate stages. The results showed that the developed teaching materials were valid, had a good readability level, and were effective in improving students' statistical literacy skills. The implementation of the PBL model encouraged students to understand, analyze, present, interpret, and conclude data through contextual problem-solving activities. In addition, the integration of Articulate Storyline created a more interactive learning environment through the use of various learning media. Therefore, the developed teaching materials are feasible to support the improvement of students' statistical literacy skills.
Analysis of Students Mathematical Representation Skills in Relation to Self-Efficacy Laeli Utami; Putriaji Hendikawati
Unnes Journal of Mathematics Education Research Vol. 2 No. 1 (2025): ICT: Learning Innovation
Publisher : Postgraduate, Universitas Negeri Semarang.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujmer.v2i1.49886

Abstract

Mathematical representation skills and self-efficacy are two important components that interact with one another in determining success in mathematics learning. This study aims to analyze differences in students mathematical representation skills in relation to their levels of self-efficacy, as well as to describe the characteristics of achievement in mathematical representation indicators at each level. The research method used was a mixed-methods approach with an explanatory sequential design. The sample consisted of 29 eighth-grade students from Class VIII I at SMP Negeri 2 Semarang. Data were collected using a self-efficacy questionnaire and a written test of mathematical representation skills, then analyzed using a One-Way ANOVA test and an analysis of students answer sheets. The results of the quantitative analysis indicate significant differences in mathematical representation ability among students with high, medium, and low self-efficacy. Tukey’s HSD post hoc test confirms that all pairwise comparisons between groups are statistically significant. Furthermore, the qualitative analysis reveals more complex dynamics through 7 combinations of self-efficacy categories with mathematical representation ability. The relationship between the two variables is not always directly proportional; it was found that students with high self-efficacy had high and medium levels of representational ability, students with medium self-efficacy had high,  medium, and low levels of representational ability, and students with low self-efficacy had medium and low levels of representational ability.
A Systematic Literature Review of: Computational Thinking in Mathematics Classrooms Santika Lya Diah Pramesti Pramesti; Scolastika Mariani; Putriaji Hendikawati; Wardono; St Budi Waluya; Emi Pujiastuti; Heni Lilia Dewi
RANGE: Jurnal Pendidikan Matematika Vol. 7 No. 1 (2025): Range Juli 2025
Publisher : Pendidikan Matematika UNIMOR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jpm.v7i1.9440

Abstract

In today’s rapidly evolving digital era, the ability to think computationally is no longer confined to computer science it has become essential across disciplines, including mathematics. This study integrates computational thinking (CT) into mathematics learning by analyze its development, benefits, and implementation challenges. Computational thinking which includes abstraction, algorithms, decomposition, and pattern recognition, is considered a crucial component in improving students' mathematical learning. These insights are intended to inform educators, policymakers, and researchers seeking to align mathematics instruction with contemporary technological and pedagogical advancements. Utilizing a systemic literature review as a qualitative method, by 37 peer-reviewed articles published between 2019 and 2024 in the Scopus database were examined. Through qualitative thematic analysis, key insights were identified across cognitive and affective dimensions. The review suggests that CT may support students’ development in problem-solving, logical reasoning, and conceptual abstraction, while also contributing to affective aspects such as motivation, self-confidence, and self-regulated learning. However, several barriers hinder its effective implementation, including insufficient teacher training, limited infrastructure, and curricular constraints. The study highlights the necessity for targeted teacher training initiatives and institutional support to facilitate CT integration.
Efektivitas Model Pembelajaran Knisley dengan Teknik Storytelling dalam Mengatasi Math Anxiety dan Meningkatkan Minat Belajar Darmayanti, Aniq; Hendikawati, Putriaji
CARONG: Jurnal Pendidikan, Sosial dan Humaniora Vol. 3 No. 3 (2026): July, Emerging Issues in Education, Society, and Humanities.
Publisher : Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62710/19gcjm81

Abstract

Mathematics is a fundamental subject that develops students' logical reasoning and problem-solving skills. However, many students experience math anxiety, which negatively affects their interest in learning. This study aimed to examine the effectiveness of the Knisley learning model integrated with the storytelling technique in reducing math anxiety and improving students' learning interest. A quantitative approach with a quasi-experimental method and a Pretest–Posttest Control Group Design was employed. The study involved 60 students of Walisongo Vocational High School, Semarang, consisting of 30 students in the experimental group and 30 students in the control group. Data were collected using math anxiety and learning interest questionnaires and analyzed using the Shapiro–Wilk normality test, Levene's homogeneity test, Wilcoxon Signed-Rank Test, Mann–Whitney U Test, and effect size analysis. The findings revealed that students in the experimental group showed a significantly greater reduction in math anxiety and improvement in learning interest than those in the control group (p < 0.001). Furthermore, the effect size values of 0.60 for math anxiety and 0.62 for learning interest indicate a large practical effect of the intervention. These findings suggest that integrating the Knisley learning model with the storytelling technique provides an effective instructional approach to creating a more engaging mathematics learning environment, reducing students' math anxiety, and fostering greater interest in learning mathematics.
Co-Authors 'Aina, Maula Qorri Abdurakhman Abdurakhman Adisgia, Devintha Rukmandani AGUSTINA, SELY Ahmad Dzulfikar Ambarwati, Ratna Amin Suyitno Anggriningrum, Dwi Prisita Ardi Prabowo Arief Agoestanto Asriani, Elisa Desi Assidiq, Addinul Astuti, Raras Setya Auliya, Amara Sweetya Aviliana, Firna Bambang Eko Susilo Bambang Eko Susilo Bidayatul hidayah Budi Waluya Budi Waluya Darmayanti, Aniq David Mubarok, David Devintha Rukmandani Adisgia Dewi, Heni Lilia Dr. Masrukan, Dr. Dwijanto Dwijanto, Dwijanto Edy Soedjoko Emi Pujiastuti Farkhan, Feri FAUSTINA, RIZA SILVIA Febrianto, Laeli Sidik Florentina Yuni Arini Fradiska Muayana Zulfa Frazwanti, Yuni Hapsari, Desy Trya Harwanti, Nur Achmey Selgi hengky tri ikhsanto, hengky tri ikhsanto Hilda, Eufrasia Ismail, Abid Khoirul Isnaeni, Ari Isnaini Rosyida Isnaini Rosyida, Isnaini Isnarto Isnarto Isnarto Isnarto Isnarto, Isnarto Juwita, Puspa Karomah, Yuliyanti Kartono Kartono , Khanifah Khanifah Khunaeni, Sirilivia Kiswandi, Kiswandi Kristina Wijayanti Kurniana Bektiningsih Laeli Utami Larasati, Enggar Niken Latifah, Nur Tsani Lestari, Pinta Dian Mashuri - Mashuri Mashuri Mega Dea Zahra Mohammad Asikin Much Aziz Muslim Muhammad Kharis Nafiul Anam, Nafiul Nino Adhi, Nuriana Rachmani Dewi Nitoviani, Nindy Dwi Niyamae, Ade Noorliza Nofiyah, Noni Nur Achmey Selgi Harwanti Nur Hidayati Nur Hidayati Nuriana Rachmani DN Nuriana Rachmani DN, Nuriana Rachmani Nurkaromah Dwidayati, Nurkaromah Nurlazuardini, Novia Nilam Nursiwi Nugraheni, Nursiwi Paradita, Evelyn Pramesti, Santika Lya Diah Pramesti Pratama, Alfian Adi Pratidina, Inung Pratiwi, Yuninda Diah Purbowo, Gallant Alim Purnawan, Dedy Rahayu Budhiati Veronika Rahayu Budhiyati Rina Dwi Setyawati Rina Dwi Setyawati Riza Arifudin Ruliana Ruliana, Ruliana Santika Lya Diah Pramesti Santika Lya Diah Pramesti Pramesti Sanusi, Ratna Nur Mustika Saraswati, Andhina Sari, Ratna Novita Scolastika Mariani Setiani, Ida SEVIRA HUKMAN MAJIDAH St. Budi Waluya Subanar . Sugiman Sugiman Sukestiyarno Sukestiyarno Sukestiyarno Sunarmi Sunarmi Supriyono Supriyono Suryani, Andika Resti Syifaa’ Nurhidayah Tarno Tarno Trimurtini, Trimurtini Ulya, Siti Faiqotul Uswatul Khasanah Utami, Laeli Veronica, Rahayu Budhiati Veronica, Rahayu Budhiati Wahyuningsih, Vebryana Walid Walid Walid, Walid Wardono Wardono Wardono Wardono Wardono Widayanti, Christina Wisatsana Roychan Saefurrochman Yuni Frazwanti Zaenal Abidin Zaenuri Mastur Zoraida, Desti Anisa