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All Journal Jurnal Pendidikan Vokasi JPK (Jurnal Pendidikan Khusus) JPTK: Jurnal Pendidikan Teknologi dan Kejuruan RADIASI: Jurnal Berkala Pendidikan Fisika Jurnal Pendidikan dan Pengajaran Jurnal Pemikiran dan Pengembangan Sekolah Dasar (JP2SD) Prosodi: Jurnal Ilmu Bahasa dan Sastra Jurnal Inovasi Teknologi Pendidikan Jurnal Prima Edukasia Jurnal Ilmiah Pendidikan Dasar AKSIOMA: Jurnal Program Studi Pendidikan Matematika PIONIR: Jurnal Pendidikan Jurnal Inovasi Pendidikan IPA Jurnal Pengukuran Psikologi dan Pendidikan Indonesia (JP3I) Al Ishlah Jurnal Pendidikan Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini REiD (Research and Evaluation in Education) Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Tadris Matematika Premiere Educandum: Jurnal Pendidikan Dasar dan Pembelajaran Cakrawala Dini : Jurnal Pendidikan Anak Usia Dini Kwangsan: Jurnal Teknologi Pendidikan JMIE (Journal of Madrasah Ibtidaiyah Education) Ideas: Jurnal Pendidikan, Sosial dan Budaya KARST : Jurnal Pendidikan Fisika dan Terapannya Loa : Jurnal Ketatabahasaan dan Kesusastraan Jurnal Pedagogi dan Pembelajaran Journal of Innovation in Educational and Cultural Research Proceedings Series on Social Sciences & Humanities Jurnal Tadris Matematika
. Haryanto
Teknologi Pembelajaran, Universitas Negeri Yogyakarta
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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Ensuring Parameter Estimation Accuracy in 3PL IRT Modeling: The Role of Test Length and Sample Size Hasan Djidu; Heri Retnawati; Haryanto Haryanto
JP3I (Jurnal Pengukuran Psikologi dan Pendidikan Indonesia) Vol 12, No 2 (2023): JP3I
Publisher : Fakultas Psikologi UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jp3i.v12i2.34130

Abstract

The objective of this simulation study was to evaluate the accuracy of item parameters estimation when employing the 3PL IRT model, mainly focusing on sample size and the length of the test (number of test items). The investigation used six datasets produced by WinGen, each comprising 5000 responses and varying test lengths within 10 to 40 items. For each dataset, the study conducted simulations and re-analyzed the data 15 times, generating a total of 2025 data subsets and estimating 225 parameters for each item. The results revealed that smaller sample sizes led to more pronounced biases, emphasizing a recommended minimum sample size of 3000 for precise parameter estimation. Additionally, the study found that a limited number of items (short test) yielded biased estimations and proposed a minimum of 25 or 40 test items for accurate estimation using the 3PL IRT model. These findings offer valuable insights for test developers in making informed decisions regarding sample sizes and test length, ultimately ensuring reliable and accurate parameter estimates.
Integrasi Matematika, Nilai-Nilai Keislaman, dan Teknologi: Fenomena di Madrasah Tsanawiyah Wilda Yumna Safitri; Haryanto Haryanto; Imam Rofiki
Jurnal Tadris Matematika Vol 3 No 1 (2020)
Publisher : Universitas Islam Negeri Sayyid Ali Rahmatullah Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21274/jtm.2020.3.1.89-104

Abstract

A study of mathematics integration with technology and Islamic values becomes an interesting topic to be studied by many scholars. The mathematics integration is essential to be applied in learning so that it can make students become Muslim individuals who have excellent character and proficiency in utilizing technology. However, there are still few studies that investigate mathematics integration with technology and Islamic values. Therefore, this study aims to describe phenomena directly related to mathematics learning that contain Islamic values and the use of technology in the learning process. The type of this study was descriptive research using a qualitative approach. The subjects of this study were three mathematics teachers who teach at Madrasah Tsanawiyah (MTs). The study procedure was carried out to find the phenomenon of research subjects that occurred at MTs. The validity of the data used the triangulation of the source and method. Data were collected through literature review, interview, and observation. The study results showed that three MTs had applied Islamic values and technology content in mathematics learning. This study recommends the need for innovation in MTs to design mathematics-integrated learning with Islamic values and the use of technology to help teachers create efficient learning, attract students' learning interest, and create an active learning environment for students.
Applying Unsupervised Possibilistic Fuzzy C-Means to Cluster Teachers' Online Practices Guldana A. Begimbetova; Heri Retnawati; Bruri Moch. Triyono; Haryanto Haryanto; Gulzhaina K. Kassymova; Slamet Suyanto
Journal of Innovation in Educational and Cultural Research Vol 6, No 3 (2025)
Publisher : Yayasan Keluarga Guru Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46843/jiecr.v6i3.2297

Abstract

This research examines the digital literacy skills of teachers in Finnish education using a dataset of 4,988 teachers from 2017 to 2019. The dataset includes variables such as gender, age, level of urbanization, self-efficacy, professional development, digital engagement, and information skills. Teachers were categorized based on their digital competence. The study uses Unsupervised C-Mediums (UPFCM) clustering to analyze teachers' online experiences and identify distinct groups. Descriptive statistics and correlation analyses reveal relationships between key variables, suggesting that self-efficacy, teaching relevance, and digital engagement significantly influence teachers' digital literacy. The results indicate different digital competence profiles, providing insights into professional development needs. The study highlights the importance of personalized learning programs to enhance digital competence and bridge skill gaps. Using an advanced clustering approach, this study contributes to understanding teachers' digital skills. Provides a foundation for data-driven educational advancements aimed at increasing digital literacy in the teaching profession.
Integrating Problem-Based Learning and Flipped Classroom Models: Evaluating Their Impact on Mathematical Problem-Solving Skills Yunianti Risma Imaroh; Haryanto Haryanto; Izza Alfina Cahyani; Albi Anggito
AL-ISHLAH: Jurnal Pendidikan Vol 17, No 2 (2025): JUNE 2025
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v17i2.6839

Abstract

Integrating Problem-Based Learning (PBL) with the Flipped Classroom (FC) model has gained attention as a strategy to enhance students' mathematical problem-solving skills (MPSS). While multiple studies have examined this approach, their findings show considerable variation. A meta-analysis was conducted using Comprehensive Meta-Analysis (CMA) software to synthesize findings from previous studies. A random-effects model was applied to account for variability among studies. The pooled effect size was g = 1.06 with a p-value 0.01, indicating a strong and statistically significant positive impact of the PBL-FC model on MPSS. Moderator analysis showed that the effectiveness varied significantly by media platform used (Qb = 21.98, p = 0.01) and type of publication (Qb = 7.94, p = 0.01). However, no significant differences were found regarding educational level (Qb = 7.45, p = 0.06), experimental group size (Qb = 0.29, p = 0.62), or publication year (Qb = 0.21, p = 0.64). The forest plot indicated consistent positive effects across most studies, although variations in effect sizes suggest heterogeneity due to differences in methodology, populations, or contexts. This meta-analysis confirms that the PBL-FC model significantly improves students' MPSS. Differences in media platform and publication type should be considered in future implementations. These findings provide a foundation for best practices and further research into enhancing critical thinking through PBL-FC integration.
AI in Education: Transforming Student Engagement for the Digital Age Baskara Qazuaini Karim; Haryanto Haryanto; Eny Yulia Susanti
Jurnal Penelitian Pendidikan IPA Vol 11 No 2 (2025): February
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i2.10469

Abstract

This research explores the transformative role of Artificial Intelligence (AI) in enhancing student engagement in higher education, specifically focusing on Educational Technology students at Yogyakarta State University, Indonesia. Through a descriptive quantitative approach, the study investigates how AI integration affects learning motivation, implementation patterns, and overall educational experiences in the digital era. A purposive sample of 25 fourth-semester students completed a structured questionnaire to assess their knowledge, usage patterns, and perceptions of AI in learning. Results revealed a high level of AI awareness (96%) and experience (100%) among students, though only 64% reported regular implementation in academic activities. Student perceptions were overwhelmingly positive, with 96% acknowledging AI's effective impact on learning, 92% reporting significant learning support, and 88% expressing intention to continue using AI in future studies. Despite these positive outcomes, the motivational aspect of AI received a comparatively lower rating (68%), suggesting areas for improvement. The study identifies AI's potential to create personalized, adaptive, and interactive learning environments while addressing concerns about over-reliance and ethical considerations. This research contributes to understanding how AI can be optimally integrated into higher education to enhance student engagement while maintaining fundamental educational values. The findings suggest that AI serves not as a replacement for educators but as a powerful complementary tool that transforms the educational landscape in the digital age.
The Effect of Google Sites Web-Based Learning Media on Students' Science Learning Outcomes Rosita Ningsih; Haryanto
Jurnal Penelitian Pendidikan IPA Vol 11 No 3 (2025): March
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i3.10486

Abstract

This study aims to reveal the effect of Google Sites Web-based learning media on student learning outcomes in science subjects of class X of SMK Negeri 1 Tana Tidung. This study is a quasi-experimental study targeting class X of SMK Negeri 1 Tana Tidung. The research respondents consisted of two groups, namely the experimental group and the control group with the same number of students, namely 11 students determined by the cluster random sampling technique. The data collection instrument was a test. The research data were obtained from the test results before and after learning. The data obtained were then analyzed using the Mann Whitney nonparametric test in the SPSS.16 program to see the differences between the experimental group and the control group. The results showed that there was a difference between the experimental group and the control group with a significance of 0.001 <0.05. These results conclude that there is an effect of Google Sites Web-based learning media on student learning outcomes in science subjects of class X of SMK Negeri 1 Tana Tidung.
ENHANCING MUSICAL INTELLIGENCE USING AMKA APP IN FOURTH GRADE OF SD SUPRIYADI 02 SEMARANG Wawan Priyanto; Ali Mustadi; Haryanto Haryanto
PIONIR: JURNAL PENDIDIKAN Vol. 13 No. 3 (2024): PIONIR: JURNAL PENDIDIKAN
Publisher : Prodi PGMI FTK UIN Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/pjp.v13i3.25540

Abstract

Some problems faced by elementary school teachers in developing their students' musical intelligence included teachers lacking knowledge and skills in music, teachers not optimally utilizing technology in music learning, and there are rarely technology-based learning media for music learning. This study aims to determine the effectiveness of using the AMKA App to improve the musical intelligence of 4th-grade students of SD Supriyadi 02 Semarang. This study is quantitative research using One Group Pre-test Post-test Design. The subjects in this study were 29 4th-grade students of SD Supriyadi 02 Semarang. The post-test results showed that three students belonged to the musical category, 14 students belonged to the Quiet musical category, and 12 students belonged to the less musical category. The N-Gain test results also showed that four students showed no improvement in musical intelligence, 20 students showed improvement in the low category, five students showed improvement in the medium category, and there were no students who entered the effectiveness improvement in the high category. These results prove that the AMKA App as learning media is effective in increasing the musical intelligence of grade 4 students of SD Supriyadi 02 Semarang.Keywords: Musical intelligence, teaching media, music
Pengembangan sistem penilaian hasil belajar mata pelajaran menganalisis rangkaian listrik berbasis computerized adaptive testing Kamaruddin Kamaruddin; Haryanto Haryanto
Jurnal Pendidikan Vokasi Vol. 4 No. 1 (2014)
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (773.733 KB) | DOI: 10.21831/jpv.v4i1.2533

Abstract

Penelitian dan pengembangan ini bertujuan untuk: (1) menghasilkan instrumen tes terstandar untuk mata pelajaran Menganalisis Rangkaian Listrik yang tersimpan dalam bank soal elektronik; (2) menghasilkan perangkat lunak sistem penilaian berbasis CAT (SPBCAT) yang mampu melaksanakan tes secara adaptif; dan (3) SPBCAT yang mampu melakukan proses pengujian dengan unjuk kerja yang layak. Penelitian dan pengembangan ini dilaksanakan dalam empat tahap, yaitu: (1) definisi; (2) desain; (3) pengembangan; dan (4) pengujian. Kesimpulan dari hasil penelitian ini adalah: (1) instrumen tes terstandar yang berhasil dikembangkan berbentuk 105 butir pilihan ganda, tersusun dalam empat KD, dengan reliabilitas empiris, masing-masing 0,9086, 0,9067, 0,9087, dan 0,9086, dan tersimpan dalam bank soal elektronik; (2) SPBCAT mampu melaksanakan tes secara adaptif, dan menampilkan hasil tes dengan tepat; (3) perangkat lunak SPBCAT telah mampu menampilkan unjuk kerjanya secara layak dalam menguji 28 peserta tes secara serempak, dan mendapat penilaian sangat baik oleh pengguna. DEVELOPMENT OF LEARNING OUTCOMES ASSESSMENT SYSTEMS FOR ELECTRIC CIRCUITS ANALYZING SUBJECTS BASED ON COMPUTERIZED ADAPTIVE TESTINGAbstractThis research and development aim to: (1) produce standardized test instruments for Electric Circuits Analyzing subjects which is stored in an electronic item bank; (2) produce a software of learning outcomes assessment system based on CAT (SPBCAT) which able to performs test adaptively; and (3) SPBCAT which is able to perform adaptive testing process with decent performance. This research and development were conducted in four stages, i.e.: (1) the definition; (2) the design; (3) the development; and (4) the testing. The conclusions of this research are: (1) the standardized test instrument which has been successfully developed in the forms of 105 items of multiple choice, arranged in four KD, with empirical reliability is 0.9086, 0.9067, 0.9087, and 0.9086, and stored in the electronic item bank; (2) SPBCAT has been able to perform test adaptively, displays test result precisely; (3) SPBCAT has been able to show its performance properly by present test items simultaneously to 28 students and got a very good appraisal from its user.
Pengembangan tes minat dan bakat dengan metode jaringan syaraf tiruan (JST) untuk memprediksi potensi siswa bidang robotika Andik Asmara; Haryanto Haryanto
Jurnal Pendidikan Vokasi Vol. 5 No. 3 (2015)
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1629.828 KB) | DOI: 10.21831/jpv.v5i3.6483

Abstract

Penelitian pengembangan ini bertujuan untuk: (1) mengembangkan model tes minat dan bakat dengan metode jaringan syaraf tiruan; (2) memperoleh hasil uji fungsionalitas tes minat dan bakat yang dikembangkan dengan model Jaringan Syaraf Tiruan (JST); dan (3) memperoleh hasil unjuk kerja dari pengujian tes minat dan bakat dengan model jaringan syaraf tiruan untuk memprediksi potensi siswa bidang robotika. Penelitian ini merupakan penelitian dan pengembangan. Subjek uji coba dibagi menjadi dua, uji coba secara terbatas pada 10 siswa dan uji coba secara luas sebanyak 31 siswa. Hasil dari penelitian pengembangan ini adalah: (1) keberhasilan produk yang dikembangkan dengan beberapa spesifikasi model yaitu; (a) JST dibangun dengan struktur single layer, jawaban tes sebagai masukan dan kesimpulan hasil tes sebagai keluaran; (b) Model pembelajaran JST menggunakan metode perceptron dengan model aktifasi pada JST menggunakan model bipolar (symmetric hard limit); (2) Proses pembelajaran secara terbimbing dengan 10 pola mendapatkan bobot yang dapat membedakan 10 pola dengan tepat, berdasar pengujian secara terbalik. (3) Pengujian secara luas menunjukan produk yang dibangun mampu memprediksi potensi siswa dalam bidang robotika, dengan membedakan 31 pola hasil tes siswa yang berbeda dengan menggunakan bobot yang didapat dari 10 pola pembelajaran. DEVELOPING INTEREST AND TALENT TEST USING ARTIFICIAL NEURAL NETWORK (ANN) TO PREDICT STUDENTS' APTITUDE IN ROBOTICSAbstractThis investigation was aimed: (1) to develop the model of interest and talent test using ANN; (2) to obtain the results of functionality examination of interest and talent test which is developed using ANN; and (3) to obtain the results of the performance from the examination of interest and talent test which is developed using ANN to predict students' aptitude in robotics. This study was a research and development. Subjects were divided into two trials, limited trial was given to 10 trainee students, and wider trial was tested on the 31 students. From the analysis, it can be concluded that: (1) the success of the products developed had some model specifications as follows; (a) ANN was built with a single-layered structure, the answers to the test was the input and the conclusion of the test was as output. (b) ANN learning model used a neural network perceptron method with activation of the ANN using bipolar model (symmetric hard limit). (2) The learning process was guided by the 10 patterns that could be weighted appropriately to distinguish 10 patterns, based on testing in reverse. (3) Extensive testing showed the developed product was able to predict the aptitude of students in the field of robotics, by distinguishing 31 different student examination result pattern using the weights obtained from the 10 patterns of learning.
Need Assessment of Deep Learning to Improve Critical-Innovative Thinking Abilities from the Perspective of Master Program Students Ali Muhtadi; Haryanto; Christina Ismaniati; Rama Faiz Pangestu
Jurnal Pedagogi dan Pembelajaran Vol. 8 No. 3 (2025): October
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jp2.v8i3.100475

Abstract

The demands of 21st-century education require university students to possess strong critical and innovative thinking skills. However, theoretical learning in higher education remains predominantly conventional, resulting in limited opportunities for students to construct knowledge deeply. This study aims to analyze and evaluate the effectiveness of a deep learning approach in enhancing critical and innovative thinking skills among master's level students. The research employed a convergent parallel mixed-methods design, involving 46 graduate students as research participants. Data were collected using a mixed-form questionnaire consisting of closed-ended and open-ended items, supported by documentation. Quantitative data were analyzed descriptively using percentages, while qualitative responses were interpreted thematically. The results indicate that theoretical learning still lacks variation and consistency, yet 93.5% of students reported that deep learning fosters critical thinking and 87% agreed that it encourages innovative thinking, although only 45.7% frequently apply both during coursework. Students also expect more collaborative, project-based, case-based, and exploratory learning supported by digital media. The study concludes that deep learning is a relevant and potential approach to strengthen critical-innovative thinking skills, addressing existing instructional limitations. This research implies the need for a structured deep learning model to optimize theoretical courses and create more reflective and student-centered learning.
Co-Authors Abdul Kadir Agustian Ramadana Putera Ainun Mahfuzah Albi Anggito Ali Muhtadi Ali Mustadi Apri Damai Sagita Krissandi Apri Yuliana Arfianto Wisnugroho Ari Kusmiatun Ashar Pajarungi Anar Astri Widyasari Atikah Mumpuni Baskara Qazuaini Karim Bruri Moch. Triyono Christina Ismaniati Dewi Rakhmawati Donald Jupply Duden Saepuzaman, Duden Edi Istiyono Eko Swi Damarwan Ela Suryani Endang Priyanti Eny Yulia Susanti Febrialismanto Febrialismanto Francisca Lisa Andriyani Fuaddilah Ali Sofyan Guldana A. Begimbetova Gulzhaina K. Kassymova Haryanto dan Edi Purwanta Suparno Haryanto dan Edi Purwanta Suparno Hasan Djidu Heri Retnawati Imam Rofiki Indri Anugrahaeni Irfan Wahyu Prananto Iyoh Maspiroh Izza Alfina Cahyani Jamiu Temitope Sulaimon Kamaruddin Kamaruddin Karimatus Saidah Komariah Komariah La Tara Laila Fatmawati Linda Feni Haryati Mei Latipah Muhammad Nur Wangid Murdiono Murdiono Nelly Rhosyida Nita Pratiwi Nola Sanda Rekysika Novi Trilisiana Nurhairani Nurhairani Octavian Muning Sayekti Pujiriyanto . Purwoko Haryadi Santoso Ragil Dian Purnama Putri Rama Faiz Pangestu Ratna Hidayah Raysyah Putri Sitanggang Reni Setyaningsih Rosita Ningsih Santi Ratna Dewi Sekar Purbarini Kawuryan Siti Amanah Slamet Suyanto Solly Aryza St. Kartono Suwarjo, Suwarjo Suyanta Suyanta Trisniawati Umar Umar Vera Yuli Erviana Wahyu Kurniawati Wahyu Purwaningsih Wawan Priyanto Wilda Yumna Safitri Windi Widyastuti Woro Tri Hastuti Wuri Wuryandani Wury Wuryandani Yunianti Risma Imaroh Yunita Miftahul Jannah Yustiandi - Yustiandi Yustiandi Yustiandi Yustiandi Zuhdan Kun