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All Journal Mimbar PGSD Undiksha Jurnal Kata: Bahasa, Sastra, dan Pembelajarannya Numeracy : Jurnal Ilmiah Pendidikan Matematika Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Cendekia : Jurnal Pendidikan Matematika Jurnal Basicedu JUMLAHKU: Jurnal Matematika Ilmiah STKIP Muhammadiyah Kuningan Eksponen Hipotenusa: Journal of Research Mathematics Education (HJRME) Indonesian Journal Of Educational Research and Review Jurnal Basicedu Jurnal Pemantik Indonesian journal of teaching and learning Al-Irsyad: Journal of Education Science Jurnal Ilmiah Research Student Pengabdian Kepada Masyarakat Cendekia Jurnal Matematika Ilmiah Universitas Muhammadiyah Kuningan
Darwanto Darwanto
Universitas Muhammadiyah Kotabumi
Religion Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Social Sciences Other

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DAMPAK KETERGANTUNGAN KECERDASAN BUATAN (AI) TERHADAP HASIL BELAJAR KOGNITIF SISWA SEKOLAH DASAR: SYSTEMATIC LITERATURE REVIEW Meilani, Santika; Marsya Wulandari; Fatimahtuz Zahra; Rita Sari; Darwanto
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 Nomer 03, September 2026 Publication
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.59245

Abstract

The integration of Artificial Intelligence (AI) into elementary education has fundamentally altered student learning frameworks. While offering efficiency, easy access to instant solutions triggers a critical dependency that threatens children’s natural cognitive structure. This study aims to identify, analyze, and evaluate the specific impacts of AI dependency on the cognitive learning outcomes of elementary school students. Operating a Systematic Literature Review (SLR) method strictly adhering to the PRISMA 2020 protocol, metadata tracking was comprehensively executed using the Google Scholar database for articles published between 2021 and 2025. Following rigorous inclusion and exclusion screenings, 14 relevant scientific articles were ultimately selected for qualitative content analysis. The synthesis highlights a bifurcated impact of AI implementation. When systematically directed, AI significantly operates as a positive learning assistant by clarifying abstract concepts through visualization and tailored instructional personalization. Conversely, unregulated usage induces a severe dependency pattern that distinctly degrades critical thinking, analytical reasoning, and long-term memory retention. This decline heavily restricts opportunities for autonomous problem-solving and hampers Higher Order Thinking Skills (HOTS). Conclusively, AI must be strictly stationed as a learning assistant rather than a surrogate for human cognitive processing. Maximizing AI’s pedagogical potential requires a robust synergy of instructional supervision by teachers and parents, alongside cultivating foundational digital literacy from an early age.
PERAN GENERATIVE ARTIFICIAL INTELLIGENCE DALAM MENGEMBANGKAN KETERAMPILAN BERPIKIR KREATIF SISWA SEKOLAH DASAR: A SYSTEMATIC LITERATURE REVIEW Nabila Putri Azzahra; Nadin Septiani; Siti Zahra; Riscka; Darwanto
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 Nomor 03, September 2026 Posted
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.62274

Abstract

The rapid development of generative artificial intelligence (generative AI) has created new opportunities to enhance the quality of learning in elementary schools, particularly in fostering students’ creative thinking skills. This study aims to analyze the implementation of generative AI through a Systematic Literature Review (SLR). The review followed the PRISMA guidelines, including identification, screening, eligibility assessment, and article inclusion. Literature was collected from Google Scholar, focusing on publications from 2025–2026. Of the 23 articles identified, 21 met the inclusion criteria, comprising 14 primary studies and 7 supporting studies. The findings indicate that generative AI promotes creative thinking through instructional approaches such as project-based learning, game-based learning, STEM, contextual teaching and learning, and digital scaffolding. In addition, generative AI enhances student engagement, conceptual understanding, and teachers’ instructional efficiency. However, its implementation is still challenged by limited teachers’ digital literacy, inadequate technological infrastructure, and the need for continuous professional development. Therefore, pedagogically appropriate integration of generative AI is essential to support innovative learning and the development of twenty-first-century competencies in elementary education.
THE LITERARY APPRECIATION OF DRAMA APPLIES SEVEN READER RESPONSE STRATEGIES TO ENCOURAGE STUDENTS' LITERACY ABILITY THROUGH LESSON STUDY Rulik Setiani; Elis Susanti; Darwanto
Indonesian Journal of Teaching and Learning (INTEL) Vol. 2 No. 1 (2023)
Publisher : Edupedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (274.239 KB) | DOI: 10.56855/intel.v2i1.55

Abstract

The aim of the research is find out seven reader response strategies can encourage students’ literacy ability through lesson study. The method of research is Lesson Study-based Action Research. While the subjects in the action research in this lesson study are the fifth semester students of English education study program which consist of 28 students. The instruments used are observation and test. The data used in this study are qualitative and quantitative data. Related to the result of students score in cycle one shows that there are 3 students who categorized in very good, 10 students who categorized in good, 15 students who categorized in enough, and there were not categorized in poor and very less. Based on the result of observation and students score have not good enough categorized so it needed improvement on the next stage or next cycle that is second cycle. Related to the result of students score in cycle one shows that there are 10 students who categorized in very good, 13 students who categorized in good, 5 students who categorized in enough, and there were not categorized in poor and very less. Based on the result of observation and students score have mostly very good and good categorized so it means that there are improvement from cycle one to cycle two.
Shortest route analysis from Candimas to universitas muhammadiyah kotabumi using graph theory Aghnia Nasywa Nur Rendra; Cintia Marantika; Rosiyana Rosiyana; Gigih Aditiya; Darwanto Darwanto
Hipotenusa Journal of Research Mathematics Education (HJRME) Vol 9, No 2 (2026): Hipotenusa Journal of Research Mathematics Education (HJRME)
Publisher : Universitas Muhammadiyah Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36269/hjrme.v9i2.5502

Abstract

Suboptimal route selection within the road network leading to Universitas Muhammadiyah Kotabumi (UMKO) can result in longer and less efficient journeys; therefore, a systematic analysis method is required to determine the shortest path. This study aims to identify the shortest route from Candimas Medical Center (CMC) Kotabumi to UMKO using Dijkstra's algorithm. A quantitative approach was employed, utilizing inter-node distance data obtained through field observations and digital measurements via Google Maps on June 7, 2026. The transportation network was modeled as a weighted graph comprising nine nodes (vertices) and eleven edges, with weights representing the travel distance between nodes in meters. Dijkstra's algorithm was applied to determine the path with the minimum accumulated weight (distance) from the starting node to the destination node. The results indicate that the shortest path is A → B → C → E → H → I, covering a total distance of 7,750 meters. These findings demonstrate that Dijkstra's algorithm can be systematically applied to determine the shortest path within the CMC–UMKO transportation network.
The Effectiveness of Using Animated Videos in Learning Mathematics to Improve Student Learning Outcomes in Elementary Schools: A Systematic Literature Review Ranti Ayu Kartika; Berta Apriza; Darwanto
Indonesian Journal of Educational Research and Review Vol. 8 No. 1 (2025): April
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ijerr.v8i1.88016

Abstract

Students’ low interest in learning mathematics and their difficulties in understanding abstract concepts remain significant challenges in elementary education. This study aims to analyze the effectiveness of animated videos as a medium for mathematics instruction by employing a Systematic Literature Review (SLR) method. Data were gathered through a structured search of relevant peer-reviewed articles published within the last five years, applying specific inclusion criteria to ensure the quality and relevance of the selected sources. The SLR process was carried out systematically, involving stages of identification, screening, data extraction, and thematic analysis. The findings reveal that animated videos facilitate the delivery of mathematical content in a visual and interactive manner, which enhances students’ conceptual understanding, fosters learning motivation, and improves learning outcomes. This medium proves especially effective in supporting meaningful learning of complex and abstract mathematical topics. The study highlights the importance of content quality, curriculum alignment, and the use of contextually appropriate instructional strategies in maximizing the benefits of animated media. It is concluded that animated videos represent a promising tool for enriching mathematics instruction in elementary classrooms. The study suggests that educators design creative and well-structured animations and encourages future research to further explore technical and pedagogical factors influencing the success of animation-based learning approaches.
Teknologi dan Pembelajaran : Memanfaatkan Macromedia Flash dalam Model Learning Cycle 5E untuk Mendukung Pemahaman Konsep Matematis Muinah Muinah; Affrylia Sari; Darwanto Darwanto; Fhela Vhantoria Ningrum
Eksponen Vol. 15 No. 1 (2025): Eksponen: Volume 15 Nomor 1 April 2025
Publisher : Universitas Muhammadiyah Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47637/eksponen.v15i1.1719

Abstract

This study aims to determine the effect of applying the Learning Cycle 5E model assisted by Macromedia Flash media on the understanding of quadrilateral concepts by seventh-grade students at SMP Islam Alfalah Abung Tinggi. This research uses a quasi-experimental design with the Nonequivalent Control Group Design method. The sample consists of two classes, with the experimental class taught using the Learning Cycle 5E model assisted by Macromedia Flash, and the control class taught using traditional learning models with PowerPoint. Data were collected using a validated descriptive test and analyzed using t-test to examine the differences between pretest and posttest scores. The analysis results show a significant effect of the Learning Cycle 5E model assisted by Macromedia Flash on improving students' concept understanding, with a t-value = 2.863 > t-table = 1.671, indicating that the alternative hypothesis is accepted, and the null hypothesis is rejected. This finding contributes to the development of mathematics education, specifically in enhancing the understanding of quadrilateral concepts through more interactive and engaging teaching methods.
Analisis Konektivitas dan Optimasi Rute Perjalanan Mahasiswa UMKO: Integrasi Jarak, Aksebilitas, dan Biaya Transportasi Berbasis Teori Graf Dena Aulia; Elsa Amalia; Meilinda Nacwa Azzahra; Nur Latifah; Yolanda Aprilia; Darwanto Darwanto
Jurnal Cendekia : Jurnal Pendidikan Matematika Vol 10 No 3 (2026): Jurnal Cendekia: Jurnal Pendidikan Matematika Volume 10 Nomor 3 Tahun 2026
Publisher : Mathematics Education Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cendekia.v10i3.5236

Abstract

This study focuses on spatial connectivity analysis and determining optimal travel routes for students of Muhammadiyah University of Kotabumi (UMKO), by integrating factors such as distance, accessibility, and transportation costs. A quantitative approach is applied using a graph theory framework, where location points are nodes (vertices), and road connections are edges (edges). Route optimization is performed using a weighted graph and shortest paths with multi-criteria weighting to generate the most efficient routes. The results show that transportation connectivity patterns to the UMKO campus exhibit varying degrees of centrality. The combination of cost and accessibility factors substantially influences route preferences, such that the physically shortest route is not always optimal when traffic congestion and road quality are considered as additional cost factors. The results of this study offer recommended strategies for students in managing their daily travel, as well as for universities and local governments in formulating more rational and effective transportation policies. This research contributes to the broader debate on urban mobility optimization and graph-based spatial analysis, highlighting the significance of multi-criteria evaluation in transportation planning in within the framework of higher education. Keywords: Graph Theory, Shortest Path, Spatial Connectivity, Transportation Optimization, UMKO
Co-Authors Adinda Siti Arafah Adjeng Diahmart Venta Affrylia Sari Aghnia Nasywa Nur Rendra Anabila Zahra Ani Fadhilah Annisa Nur Azkia Annisa Ramadhani Arisa Nur Anggraini Asep Hardiyanto Asmita Ningsih Astrilia Berta Apriza Berta Dinata, Karsoni Cintia Marantika Dena Aulia Dewi Ratnaningsih Dewi Tiarma Dila Hana Isromi Dina Sela Aprilia Elis Susanti Elsa Amalia Fatimahtuz Zahra Feby Musti Ariska Fhela Vhantoria Ningrum Gigih Aditiya Hafidatul Sahiba Hani Savitriana Indri Yani Intan Fadhilah Sahri Intan Nurmala Isma Dewi Ita Paramita Junaidi Junaidi Khomairah Khusnul Khotimah Kiki Herdiansyah Maela Rahma Devita Mar'atun Khasanah Marsya Wulandari Meilinda Nacwa Azzahra Mira Puspita Mufidatun Muinah, Muinah Mutiara Yumeida Nusa Nabila Putri Azzahra Nadin Septiani Nova Sari Nur Latifah Purna Bayu Nugroho Putri Dea Pelangi Putri Destawati Rahma Aulia Ranti Ayu Kartika Ratih Handayani Riscka Rita Sari Rosiyana Rosiyana Rulik Setiani Sania Zahra Santika Meilani, Santika Selvi Rahma Anggraini Sevia Utama Putri Siti Sopiani Siti Zahra Tania Erika Saputri Venty Meilasari WAHYUNI Windo Dicky Irawan Yolanda Aprilia Yurida Junaidah Zaniyati Hazmi, Nailah