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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Pengajaran MIPA TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmu Komputer (JIK) Indonesian Journal of Disability Studies Journal of Engineering and Technological Sciences ELINVO (Electronics, Informatics, and Vocational Education) Jurnal Penelitian dan Pembelajaran IPA Indonesian Journal of Science and Technology QUANTUM: Jurnal Inovasi Pendidikan Sains JOIV : International Journal on Informatics Visualization Al Ishlah Jurnal Pendidikan Knowledge Engineering and Data Science Jurnal Penelitian Pendidikan IPA (JPPIPA) Momentum: Physics Education Journal MUST: Journal of Mathematics Education, Science and Technology Journal of Natural Science and Integration JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL PENDIDIKAN TAMBUSAI Journal of Education Technology Jurnal Tekno Insentif Jurnal Sains Dirgantara Education and Human Development Journal Jurnal Paedagogy Cendikia : Media Jurnal Ilmiah Pendidikan Journal Evaluation in Education (JEE) Brilliance: Research of Artificial Intelligence Jurnal Pengabdian Masyarakat untuk Negeri (UN-PENMAS) Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Digital Transformation Technology (Digitech) Journal of Coaching and Sports Science IJOEM: Indonesian Journal of Elearning and Multimedia Finger : Jurnal Ilmiah Teknologi Pendidikan Bulletin of Social Informatics Theory and Application Jurnal Guru Komputer Jurnal Pendidikan Teknologi Informasi dan Komunikasi Jurnal Ilmiah Sistem Informasi Journal of Computers for Society Cadika Journal.
Lala Septem Riza
Universitas Pendidikan Indonesia, Bandung, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Analyzing Critical Thinking Skills of Physics Preservice Teachers on Electricity and Magnetism Furqon, M.; Sinaga, Parlindungan; Liliasari; Riza, Lala Septem
Jurnal Penelitian Pendidikan IPA Vol 9 No 6 (2023): June
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i6.3581

Abstract

The primary objective of education is to equip students with the necessary skills and knowledge to effectively engage in their chosen professions and make meaningful contributions to their respective communities. One of the skills needed is critical thinking skills. The mastery of critical thinking skills is deemed essential for preservice physics teachers in the 21st century. This study aims to analyze the critical thinking skills of preservice physics teacher on electricity and magnetism. The research involved 38 preservice physics teacher students at one of the LPTK’s in Indonesia. The research method applied is descriptive quantitative. The research instrument used was a description test, namely the Critical Thinking Skills in Electricity and Magnetism (CTEM). Test yang didiadopsi dari Tiruneh et al. (2017). The results showed that the critical thinking skills of physics teacher candidates were low. Efforts are needed to improve critical thinking skills through methods, models, media, and other interventions in learning.
Media Pembelajaran Berbasis Film dalam Materi Konversi Bilangan untuk Meningkatkan Kemampuan Siswa Gerraldi, Alief; Riza, Lala Septem; Wahyudin, Wahyudin
Digital Transformation Technology Vol. 5 No. 1 (2025): Periode Maret 2025
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v5i1.6437

Abstract

Pembelajaran konversi bilangan sering kali dipandang sebagai hal yang abstrak dan sulit dimengerti saat diajarkan dengan metode konvensional seperti ceramah, sehingga mengakibatkan rendahnya motivasi dan partisipasi mahasiswa. Dalam konteks pendidikan, pemahaman tentang konversi bilangan sangat krusial, terutama dalam bidang pemrograman komputer, di mana peserta didik harus mengkonversi nilai dari desimal ke biner untuk berinteraksi dengan perangkat keras. Studi ini bertujuan untuk merancang, melaksanakan, dan menganalisis efektivitas media pembelajaran yang berbasis film guna meningkatkan pemahaman tentang konversi bilangan. Metode yang diterapkan adalah kuasi eksperimen dengan desain Pretest-Posttest Satu Kelompok pada 6 mahasiswa Teknik Informatika di STMIK Cilegon Rajawali. Media film dibuat dengan mengikuti langkah-langkah dari model ADDIE (Analisis, Desain, Pengembangan, Implementasi, dan Evaluasi). Data kuantitatif diperoleh dari hasil pre-test dan post-test yang selanjutnya dianalisis dengan menggunakan uji normalitas, uji-t, dan N-Gain. Implementasi media pembelajaran film terbukti dapat meningkatkan pemahaman mahasiswa secara signifikan. Peningkatan ini terjadi karena media film mampu menyajikan konsep abstrak secara visual dan terstruktur, yang secara tidak langsung melatih mahasiswa untuk berpikir algoritmik
Mediating Role of Artificial Intelligence in Linking Self-Efficacy and Learner Performance Siregar, Herbert; Munir, Munir; Sobandi, Ade; Riza, Lala Septem; Nusratullo, Samialloi
JURNAL PENDIDIKAN DAN PENGEMBANGAN MANUSIA Vol 10 No 2 (2025): Education and Human Development Journal
Publisher : Universitas Nahdatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/ehdj.v10i2.7936

Abstract

The integration of Artificial Intelligence (AI) into education continues to expand, yet its effectiveness in improving learning outcomes requires further examination, particularly with regard to the role of self-efficacy in digital learning in Indonesia. This study extends Bandura’s self-efficacy construct by conceptualizing AI as a latent mediating variable functioning as an adaptive educational mechanism through feedback, personalized resources, and dynamic scaffolding. A quantitative approach was employed via an online survey conducted between February and May 2024, yielding 279 valid responses from secondary and higher education students across several Indonesian provinces. Data were analyzed using SEM-PLS with SmartPLS 3.0. The results show that self-efficacy moderately predicts AI adoption (β = 0.373), AI integration strongly predicts learning behavior and performance (β = 0.649), while the direct pathway from self-efficacy is relatively weak (β = 0.144), with the indirect pathway mediated by AI substantially stronger (mediation effect = 0.242). Theoretically, these findings enrich Bandura’s framework of self-efficacy in the context of digital learning by highlighting AI as a central mediating construct, while practically they provide implications for adaptive learning strategies, digital education policy, and technology-driven pedagogical innovation.
Development of Virtual Reality Media for Earthquake Simulation Ulum, Muhammad Bahrul; Prasetyaningsih, Prasetyaningsih; Akbar, Anthonio; Hamzah, Raseeda; Wahyudin, Wahyudin; Riza, Lala Septem
FINGER : Jurnal Ilmiah Teknologi Pendidikan Vol. 4 No. 3 (2025): Finger : Jurnal Ilmiah Teknologi Pendidikan
Publisher : CV. Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/finger.v4i3.460

Abstract

Background: Indonesia has a high risk of earthquakes, necessitating innovative approaches to disaster mitigation education.Aims: This study aims to develop Virtual Reality (VR)-based learning media to enhance students’ understanding and preparedness, particularly among students, in facing earthquake scenarios.Methods: The development process comprises four main stages: identifying educational content, designing interactive scenarios, creating 3D assets and interactive elements, and developing the virtual reality application using Unity.Results: The developed interactive VR media includes a tutorial feature, selectable earthquake location scenario (classroom, library, laboratory), and adjustable earthquake magnitude settings. It enables users to experience immersive and safe earthquake simulations while actively practicing appropriate  emergency response procedures.Conclusion: The application of VR-based learning media offers substantial potential to enhance disaster literacy, increase student engagement, and create more meaningful learning experiences. The implementation of this media in educational settings is expected not only to strengthen a culture of disaster awareness but also to contribute to reducing casualties and losses caused by earthquakes in the future.
The Best Malaysian Airline Companies Visualization through Bilingual Twitter Sentiment Analysis: A Machine Learning Classification Abu Samah, Khyrina Airin Fariza; Amirah Misdan, Nur Farhanah; Hasrol Jono, Mohd Nor Hajar; Riza, Lala Septem
JOIV : International Journal on Informatics Visualization Vol 6, No 1 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.1.879

Abstract

Online reviews are crucial for business growth and customer satisfaction. There is no exception for the airlines’ company, which places third as the biggest contributor to Malaysia’s Gross Domestic Product. Customer opinions play an important role in maintaining the reputation and improving the quality of service of the airlines. However, there is no specific platform for online review. Most online ratings obtain English, leading to inaccurate results as not all reviews regarding different languages are considered. Airlines currently have no specific platform for online reviews despite being critical for business growth, performance, and customer experience improvement. Hence, this paper proposed implementing a web-based dashboard to visualize the best Malaysian airline companies. The airline companies involved are AirAsia, Malaysia Airlines, and Malindo Air. We designed and developed the proposed study through the bilingual analysis of Twitter sentiment using the Naïve Bayes algorithm. Naïve Bayes algorithm is a machine learning approach to do classification. The tweets extracted were analyzed as metrics that advance airline companies’ online presence. Testing phases have shown that the classifier successfully classified tweets’ sentiment with 93% accuracy for English and 91% for Bahasa. Every feature in the web-based dashboard functions correctly and visualizes a detailed analysis of sentiment. We applied the System Usability Scale to test the study’s usability and managed to get a score of 94.7%. The acceptability score ‘acceptable’ result concluded that the study reflects a good solution and can assist anyone in understanding the public views on airline companies in Malaysia.
Application of Programming Algorithms to Support Computational Thinking in Children with Autism Spectrum Disorder Zsalzsa Puspa Alivia; Jaja Kustija; Lala Septem Riza; Anne Hafina; Munir Munir; Wahyudin Wahyudin
AL-ISHLAH: Jurnal Pendidikan Vol 17, No 4 (2025): DECEMBER 2025
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v17i4.8489

Abstract

Children with Autism Spectrum Disorder (ASD) often experience challenges in logical reasoning and problem-solving, which can hinder their computational thinking (CT) development. This study aimed to examine the effectiveness of programming algorithm-based learning media in enhancing CT skills among children with ASD during Phase C informatics learning. A mixed-method approach combining Design-Based Research (DBR) and Single Subject Research (SSR) was employed. The study involved three children with ASD enrolled at SD BPI Bandung. The DBR process consisted of four stages: needs analysis, media design, development, and implementation. The intervention was conducted through an SSR design with three phases—Baseline 1 (A1), Intervention (B), and Baseline 2 (A2)—to assess changes in CT performance. All participants demonstrated notable improvements in CT skills following the intervention. For example, Participant KA’s score increased from 20% to 60%, KZ’s from 30% to 60%, and SB’s from 20% to 45%. The results indicated consistent upward trends and stable retention during the post-intervention baseline phase, suggesting that the programming algorithm learning media effectively enhanced computational thinking abilities. The findings support the use of structured, technology-assisted learning to promote CT in children with ASD. However, the small sample size limits generalizability, and future studies should include larger, more diverse participants. The study underscores the importance of developing adaptive, inclusive learning media that accommodate individual cognitive and sensory needs.
Game-Based Training Model: Does It Improve Fundamental Badminton Young Athletes' Skills? Sari, Eka Fitri Novita; Siregar, Nofi Marlina; Nugroho, Sigit; Riza, Lala Septem; Ali, Masnur; Asri, Novri
Journal of Coaching and Sports Science Vol. 4 No. 2 (2025): Journal of Coaching and Sports Science
Publisher : CV. FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/jcss.v4i2.905

Abstract

Background: The application of game models in badminton for young athletes is considered very appropriate. Game models incorporate training elements suitable for young athletes, who are still in a developmental stage that requires play, so that training can be maximized, as athletes feel more relaxed and have more fun in the program. Aims: The research aims to examine the effectiveness of the game model in improving young athletes' badminton skills. Methods: This study used a quantitative descriptive quasi-experimental design. The research design used in this study was “The One Group Pretest Posttest Design” with no control group. Results: The Wilcoxon test in Table 3 above shows that the pretest and posttest scores for badminton skills were significantly different (p < 0.05). Thus, the game model is efficacious in improving athletes' badminton skills. Conclusion: The game model applied in this study demonstrates high effectiveness in improving young athletes' badminton skills. Therefore, the researcher recommends using a game-based training model to improve young athletes' badminton skills. Implementing game-based training models can significantly enhance the development of young badminton athletes. By integrating play-oriented activities into training, coaches can create a more engaging and motivating environment that aligns with children's developmental needs. This approach not only improves technical and tactical skills in badminton but also promotes enjoyment, reduces training stress, and fosters long-term athlete participation.
School Feasibility Analysis and Grade Improvement Strategies Using the Random Forest Algorithm Aliyya, Farrel Rahma; Farizi, Syahandhika Naufal; Riza, Lala Septem; Megasari, Rani; Nugraha, Eki; Wahyudin, Asep
JENTIK : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 4 No. 2 (2025): Jurnal Pendidikan Teknologi Informasi dan Komunikasi
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jentik.v4i2.475

Abstract

Background of Study: Educational disparities across Indonesian provinces persist, particularly in infrastructure, teacher quality, and dropout rates, necessitating data-driven analysis for equitable improvements.Aims: This study investigates school feasibility and proposes strategies to enhance provincial education performance using the Random Forest algorithm.Methods: Aggregated provincial education data covering student numbers, dropout rates, teacher qualifications, and classroom conditions were transformed into derivative indicators. A binary classification (Feasible/Not Feasible) based on national dropout median was applied. The model was developed using R with six systematic steps, including training and evaluation of a Random Forest model (ntree = 100, mtry = 3) using accuracy, sensitivity, and specificity.Result: The model accurately classified school feasibility. Key predictors included teacher quality, student-teacher ratios, and classroom conditions. Several provinces were identified as “Not Feasible.”Conclusion: Machine learning proves effective for education policy support. The study offers targeted recommendations such as improving infrastructure, enhancing teacher training, and reducing dropouts to promote equitable education in Indonesia.
Implementing the rasch model to assess the level of students' critical and reflective thinking skills on the photoelectric effect Juandi, Tarpin; Kaniawati, Ida; Samsudin, Achmad; Riza, Lala Septem
Momentum: Physics Education Journal Vol. 7 No. 2 (2023)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/mpej.v7i2.8252

Abstract

This study aims to determine the level of students’ critical and reflective thinking skills on the topic of photoelectric effects. In this study, the cross-sectional survey approach was employed in conjunction with purposive sampling techniques.  The data collection instruments are questionnaires for critical thinking and reflective thinking skills, with 20 critical thinking items and 24 reflective thinking items. A total of 35 students, 6 males and 29 females, with an average age of 20 years, agreed to fill out the questionnaire that was distributed. The acquired quantitative data were evaluated using the Rasch model, with critical thinking skills showing that 11% of students were at a very low level, 49% were at a low level, 26% were at a high level, and 14% were at a very high level. Meanwhile, data analysis of reflective thinking skills revealed that 20% of pupils had low levels, 63% had moderate levels, and 17% had high levels. As a result, it is suggested that critical thinking and reflective thinking skills be continuously debriefed.
Implementasi Power Bi (Business Intelligence) Dalam Pengolahan Dan Visualisasi Data Penelitian Pada Institusi Xyz Kesuma, Muhammad Salman; Riza, Lala Septem; Nursalman, Muhammad; Firdaus, Pipin
Jurnal Ilmiah Sistem Informasi Vol. 5 No. 2 (2026): May: Jurnal Ilmiah Sistem Informasi
Publisher : LPPM Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/v7d7ad61

Abstract

Pengelolaan data penelitian pada Institusi XYZ menghasilkan data dalam jumlah besar dan bersifat historis, sehingga diperlukan sistem yang mampu mengolah dan menyajikan data secara efektif dan terintegrasi. Penelitian ini bertujuan untuk mengimplementasikan Business Intelligence(BI) menggunakan Power BI dalam pengolahan dan visualisasi data penelitian guna mendukung transparansi informasi, proses monitoring, serta pengambilan keputusan yang berbasis data. Metode penelitian meliputi analisis kebutuhan, perancangan model data, proses Extraction, Transformation, and Loading (ETL), serta pengembangan dashboard interaktif menggunakan Power BI tanpa mengubah struktur basis data inti. Hasil penelitian menunjukkan bahwa penerapan Power BI mampu mengintegrasikan data penelitian, pendanaan, luaran, dan data peneliti ke dalam visualisasi yang informatif dan mudah dipahami. Penelitian ini menghasilkan empat dashboard utama, yaitu dashboard proposal penelitian, dashboard pendanaan penelitian, dashboard luaran penelitian, dan dashboard data peneliti, yang dapat membantu pihak institusi dalam memantau dan mengevaluasi kinerja penelitian secara lebih efektif.
Co-Authors Abdullah, Cep Ubad Abu Samah, Khyrina Airin Fariza Achmad Samsudin Ade Gafar Abdullah, Ade Gafar Ade Rohayati Ade Sobandi, Ade Adedokun-Shittu, Nafisat Afolake Adi Rahmat Ahmad Zainal Abidin Akbar, Anthonio Al Husaeni, Dwi Fitria Al Husaeni, Dwi Novia Aldi Zainafif Alejandro Rosales Pérez Alejandro Rosales-Pérez Alfitri, Latifahny Aridia Aliyya, Farrel Rahma Amay Suherman Amirah Misdan, Nur Farhanah Anisyah, Ani anne Hafina, anne Aqhbar Habib Arianti, Andini Setya Asep Bayu Dani Nandiyanto Asep Wahyudin Asep Wahyudin Asri, Novri Atqiya, Muhammad Azka AZ Pranata Basallamah, Muhammad Alam Budiana, Dian Budiman Budiman Cep Ubad Abdullah Dadang Lukman Hakim Destian, Rangga Dewini Dewini Didin Wahyudin, Didin Edy Soewono Edy Soewono Eka Fitrajaya Rahman Eki Nugraha Eliyawati Eliyawati Enjang Ali Nurdin Enjun Junaeti Erlangga, E. Erna Piantari Erry Fuadillah Faisal Syaiful Anwar Farhan Dhiyaa Pratama Farizi, Syahandhika Naufal Fathimah, Nusuki Syari'ati Fatimah, Nusuki Syariati Ferry Mukharradi Simatupang Fidela Zhafirah Firdaus, Pipin Gerraldi, Alief Gintara, Andre Rangga Gunarso Hamzah, Raseeda Hasanah , Lilik Nur Hasrol Jono, Mohd Nor Hajar Hayati , Nurlaila Herbert Siregar Homdijah, Oom Siti Huda, Kirana Syafa Husni Firmansyah Ida Kaniawati ISKANDAR, AYSHA ALIA Isma Widiaty Jaja Kustija Judhistira Aria Utama Kafilli, Muhammad Fikri Kenny David Kenny David Kesuma, Muhammad Salman Khyrina Airin Fariza Abu Samah Kuntjoro Adji Sidarto Kuntjoro Adji Sidarto Liliasari M. FURQON Mahmoud Fahsi Masnur Ali Mediayani, Melani Mohd Nor Hajar Hasrol Jono Muhammad Afif Auliya Muhammad Aziz Muhammad Bahrul Ulum Muhammad Hazmi Zuhdi Muhammad Irfan Firmansyah Muhammad Ramdan Pamungkas Muhammad Syafri Syamsudin Mumu Komaro Munir Munir Munir Munir, Munir N. Nurjanah Nanang Dwi Ardi Naufal Rabah Wahidin Nazir, Shah Nor Aiza Moketar Novi Sofia Fitriasari Novitasari , Eka Fitri Nur Maisarah Nor Azharludin Nuraulia, Anti Nurhayati, Ai Siti Nurqueen Sayang Dinnie Wirakarnain Nursalman, Muhammad Nusratullo, Samialloi Olyan, Warzuqni Parlindungan Sinaga Pérez, Alejandro Rosales Pertiwi, Anita Dyah Piantari, Erna Prabawa, Harsa Wara prasetyaningsih prasetyaningsih Prasetyaningsih Prasetyaningsih, Prasetyaningsih Prasetyaningsih, Prasetyaningsih Pudjo Sukarno Pudjo Sukarno Putri , Ananda Hafizhah Putri , Liandha Arieska Putri Amelia Solihah Putri, Iffa Ichwani Qobus, Muhammad Shofwan Rahman, M Ammar Fadhlur Rambari Apandi, Anjar Rani Megasari Raseeda Hamzah Rasim, Rasim Rena Zaen Rendi Adistya Rosdiyana Riandi Riandi Riezqa Andika Rika Rafikah Agustin Rizky Rachman Judie Rooseno Rahman Dewanto Rosa, Elisa Rosi Oktiani Rosyda, Miftahurrahma Safitri, Fibriyana Sahidin, M. Zaenal Iskandar Samah, Khyrina Airin Fariza Abu Sapiruddin, Sapiruddin Selvi Marcellia Shah Nazir Shah Nazir Sigit Nugroho Siregar, Herbert Siregar, Nofi Marlina Solihat, Syifa Sonjaya, Rebina Putri Sugeng Rifqi Mubaroq Suratno Susilawati, Susilawati Tarpin Juandi Taufiq Hidayat Topik Hidayat Tutuka Ariadji Tyas Farrah Dhiba Wahyudin Wahyudin - Wahyudin Wahyudin Sanusi Rosada Wahyudin Wahyudin Wahyudin, W. Wawan Setiawan Wibisono, Yudi Wihardi, Yaya Yudi Prasetyo Zain, Muhammad Iqbal Zainab Othman Zsalzsa Puspa Alivia