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All Journal Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini Jurnal Kiprah Kebudayaan Otopro Jurnal Ilmiah Profesi Pendidikan Mattawang: Jurnal Pengabdian Masyarakat Jurnal Kesehatan Tambusai Prosiding Konferensi Nasional PKM-CSR Journal of Vocational and Technical Education (JVTE) JURNAL PENDIDIKAN INDONESIA: Teori, Penelitian, dan Inovasi Jurnal Kajian Ilmu Pendidikan (JKIP) Jurnal Pengabdian Masyarakat dan Inovasi Teknologi Journal of Artificial Intelligence and Digital Business Innovative: Journal Of Social Science Research
Dewanto Dewanto
Fakultas Bahasa dan Sastra Inggris Universitas Wijaya Putra Surabaya
Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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The Effectiveness of SAVI Learning Model Based on Flipped Classroom on Children's Problem Solving Ability Happy, Nurina; Mardiati, Mardiati; Hidayati, Nur; Latifah, Nur; Safira, Ifa; Sukini, Sukini; Sarnoto, Ahmad Zain; Sari, Windy Dian; Wantu, Hasyim Mahmud; Nugraha, Aat Ruchiat; Dewanto, Dewanto; Yastanti, Unpris; Santosa, Tomi Apra; Solissa, Everhard Markiano
Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini Vol. 9 No. 1 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/obsesi.v9i1.6753

Abstract

This study aims to determine the effectiveness of the flipped classroom-based SAVI learning model on children's problem-solving skills. This research is a type of meta-analysis research. The eligibility criteria in this study are: a) the research must be published in 2022-2024; b) this research was obtained through the Google Scholar database; Mendeley; ScienceDirect; and Wiley; c) the research must be relevant; d) the research must have complete data to calculate the effect size value; and the sample size > 30 participants. The data in this meta-analysis is analyzed with the help of JASP and Microsoft Excel applications. The results of the analysis of 19 effect sizes concluded that the summary effect size value ( d = 1.077 ; z = 8.172 ; p < 0.001) of the effect size category was strong. These findings show that the application of the effectiveness model of the flipped classroom-based SAVI learning model has a positive influence on children's problem-solving skills
Supervision of the Development of Higher-Order Thinking Skills (HOTS)-Based Assessment of Learning in Wijaya Putra School: Supervisi Penyusunan Assessment of Learning Berbasis HOTS di SMA Wijaya Putra Surabaya Setyowati, Yulis; Priambudi, Surya; Dewanto, Dewanto
Mattawang: Jurnal Pengabdian Masyarakat Vol. 4 No. 4 (2023)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.mattawang2240

Abstract

As an educator, a teacher ideally should have a strong understanding of the concept of Higher Order Thinking Skills (HOTS) in learning and assessment. This understanding is crucial to support the implementation of teaching and assessment in the era of Society 5.0. Higher Order Thinking Skills, commonly known as HOTS, refer to an individual's ability to think in a more complex manner. Indicators used in HOTS questions include three aspects within the context of Bloom's taxonomy, namely analysis (C4), evaluation (C5), and creation (C6). This community service activity aims to illustrate the steps and analyze the results of supervision in enhancing the competence of teachers in developing HOTS-based learning assessments at SMA Wijaya Putra in Surabaya. The supervision method employed is participative, utilizing direct guidance and Focus Group Discussions. The results of this supervision show an improvement in teachers' ability to create assessments of learning.This improvement is evident in the initial observation of learning assessments, where only ability increased to 75%, indicating a substantial improvement from the initial condition. In conclusion, this community service activity successfully enhanced the skills of teachers in developing HOTS-based assessments.".
The Impact Of Artificial Intelligence Integration On Students’ Critical Thinking And Problem-Solving Skills In Higher Education Sopacua, Fryan; Apra Santosa, Tomi; Aprianto, Muhammad Chusnan; Dewanto, Dewanto; Safira, Ifa; Wijoyo, Hadion
Jurnal Kajian Ilmu Pendidikan (JKIP) Vol. 7 No. 1 (2026): Jurnal Kajian Ilmu Pendidikan (JKIP)
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jkip.v7i1.1898

Abstract

The rapid advancement of Artificial Intelligence (AI) has significantly transformed the educational landscape, particularly in higher education. This study aims to investigate the impact of AI integration on students’ critical thinking and problem-solving skills through a meta-analysis approach. Data were collected from 12 empirical studies published between 2015 and 2025 that examined the implementation of AI-assisted learning environments in universities. Using a random-effects model, the study analyzed effect sizes to determine the overall impact of AI-based interventions. The results reveal a moderate to strong positive effect (Hedges’ g = 0.64) of AI integration on critical thinking skills, and a significant improvement in problem-solving. Subgroup analysis further indicates that adaptive learning systems and AI-driven feedback tools produce the greatest enhancement in cognitive performance compared to traditional instruction. Moreover, the effectiveness of AI integration is influenced by factors such as duration of implementation, discipline area, and the level of technological literacy among students and instructors. These findings underscore the potential of AI as a transformative pedagogical tool that fosters higher-order thinking and learner autonomy in higher education. The study concludes by recommending that universities adopt AI technologies strategically, emphasizing instructional design that aligns with cognitive development principles to ensure sustainable and equitable learning outcomes.
The Effect of Deep Learning Through Canva on English Achievement of SMA Class X Students Marhamah, Marhamah; Ismail, Syofianis; Zetriuslita, Zetriuslita; Hudjimartsu, Sahid Agustian; Kurniawan, Kurniawan; Dewanto, Dewanto; Abshor, Febri
Jurnal Ilmiah Profesi Pendidikan Vol. 11 No. 1 (2026): Februari
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jipp.v11i1.4428

Abstract

The lack of student interest in learning English significantly influences their learning outcomes. During the learning process, students greatly require media and learning approaches that can support their engagement and activeness in the classroom. The deep learning approach and Canva Magic AI media can serve as a potential solution to the problems faced by these students. This research aims to investigate the effect of deep learning aided by the Canva on the English achievement of Class X students at SMA IT Imam Syafi’i 2 Pekanbaru. The research method used is a quasi-experiment with a non-equivalent control group design. A total of classes was randomly selected, consisting of 40 students. One class served as receiving English learning integrated with deep learning and Canva, and the other as receiving conventional learning. The data collection instrument was an English achievement test administered before and after the treatment. The collected data were analyzed using inferential statistical tests to compare the improvement in learning achievement between the two groups. The results of this study are expected to provide the effectiveness of combining deep learning and Canva in improving the English learning outcomes of SMA students, as well as its implications for innovation in language teaching practices.
Performance Analysis of Internet of Things Architecture for Smart City Aplication Rahanra, Nicodemus; Santosa, Tomi Apra; Dewanto, Dewanto; Satriawansyah, Tri; Nurtamam, Mohammad Edy
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 1 (2026): Februari - April
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i1.6792

Abstract

The rapid development of Internet of Things (IoT) technology has significantly transformed the conceptualization and implementation of smart city applications. This study aims to analyze the performance of Internet of Things (IoT) architecture in supporting smart city applications across various urban service domains, including transportation, environmental monitoring, public safety, and energy management. The research focuses on evaluating key performance indicators such as latency, throughput, scalability, reliability, and energy efficiency within a multilayer IoT architecture consisting of perception, network, middleware, and application layers.A quantitative experimental approach was employed by simulating smart city scenarios using heterogeneous sensors and communication protocols. Performance metrics were collected and analyzed under varying traffic loads and data transmission frequencies. The results indicate that network latency and bandwidth utilization significantly affect real-time data processing capabilities, particularly in time-sensitive services such as intelligent traffic systems and emergency response monitoring. Furthermore, the study found that edge computing integration enhances response time and reduces cloud dependency, thereby improving overall system efficiency and scalability.The findings suggest that optimizing network configuration, adopting lightweight communication protocols, and implementing distributed processing mechanisms are critical factors in enhancing IoT architectural performance for smart city applications. This research contributes to the development of a more reliable and efficient IoT infrastructure framework to support sustainable and data-driven urban governance. Future studies are recommended to explore security resilience and interoperability challenges in large-scale smart city deployments.
Co-Authors Aat Ruchiat Nugraha Abdul Ghofur Abdul Muis Abshor, Febri Achmad Imam Agung Ade Harahap, Muhammad Kurnia Adrie Oktavio Ahmad Zain Sarnoto Ali, Makhrus ANDRI KURNIAWAN Apra Santosa, Tomi Aprianto, Muhammad Chusnan Aris Krisdiyanto Asrul Sani Baso Intang Sappaile, Baso Intang Daberty, Sherly DOORVINA, DOORVINA Elfa Oprasmani Ellina Rienovita Esthernita F, Naomi Fauzi, Rizal Ula Ananta Handayani, Ochivia Hayati, Noorfah Hilmiyati, Fitri Hiola, Siti Fatimah Ifa Safira Ismail, Syofianis Karya Guna, Bucky Wibawa Kemmala Dewi Komari Komari Kurniawan Kurniawan Manahor, Anwar Mardiati Mardiati Marhamah Marhamah Mohammad Edy Nurtamam, Mohammad Edy Muhandhis, Isnaini Nevrita, Nevrita Nungraha, Aat Ruchiat Nur Hidayati Nur Latifah, Nur Nurina Happy Prasetio, Vio Jhondan Priambudi, Surya Priyambudi, Surya Rachmaningsih, , Dewi Maharani Raden Mohamad Herdian Bhakti Rahanra, Nicodemus Rahman, Taufik Nur Riza Noviana Khoirunnisa rizkya, rizkya Rofiah, Ika Aliyatur R. Sahid Agustian Hudjimartsu Santosa, Tomi Apra Sapulete, Heppy Sari, Mamik Usniyah Sari, Windy Dian Satriawansyah, Tri SETYAWAN, BAGUS Sinaga, Nenni Triana Siregar, Muhammad Sapril Solissa, Everhard Markiano Sondang, Meini Sondang Sopacua, Fryan Sukini, Sukini Susanto, Yusak Noven Sutarto Sutarto Syafruddin Syafruddin Tarmizi, Rasyid Tongam E Panggabean Tri Suparyanto, Tri Via Yustitia Wantu, Hasyim Mahmud Wibowo , Theodorus Wiyanto Widiastuti, Rini WIJOYO, HADION Wulandari, Andi Sri Rezky Wulandary, Andi Sri Rezky yulis setyowati Zahroh, Fatmah Lailatul Zetriuslita