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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Pengajaran MIPA TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Ilmu Komputer (JIK) Indonesian Journal of Disability Studies Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Sosioteknologi Journal of Engineering and Technological Sciences ELINVO (Electronics, Informatics, and Vocational Education) Jurnal Penelitian dan Pembelajaran IPA Indonesian Journal of Science and Technology Pedagogia: Jurnal Pendidikan 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 Kappa 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 Bulletin of Social Informatics Theory and Application Jurnal Guru Komputer Journal of Deep Learning, Computer Vision and Digital Image Processing Journal of Computers for Society Cadika Journal. IJIES (International Journal of Innovation in Enterprise System) Curricula: Journal of Curriculum Development THABIEA : JOURNAL OF NATURAL SCIENCE TEACHING
Lala Septem Riza
Universitas Pendidikan Indonesia, Bandung, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Astronomy 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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Game untuk Meningkatkan Hasil Belajar Siswa SMK pada Pembelajaran Algoritma Pengurutan dengan Metode Drill Olyan, Warzuqni; Prabawa, Harsa Wara; Riza, Lala Septem; Wahyudin, Wahyudin
Jurnal Pendidikan Tambusai Vol. 8 No. 3 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Abstrak Pemrograman Dasar merupakan salah satu mata pelajaran kompetensi untuk jurusan Rekayasa Perangkat Lunak (RPL). Permasalahan mendasar yang umumnya dihadapi oleh siswa adalah lemahnya kemampuan siswa dalam mengekspresikan pemecahan masalah dalam bentuk algoritma secara terurut dan benar. Lemahnya kemampuan siswa ini berdampak pada rendahnya tingkat pemahaman konsep mereka di kelas dan hasil belajar mereka. Latihan yang berpola dan berulang-ulang dapat membantu siswa untuk mengerti materi. Penelitian ini bertujuan untuk merancang dan mengembangkan media intreraktif dengan metode drill untuk meningkatkan hasil pembelajaran siswa pada materi Pengurutan Algoritma. Penelitian ini menggunakan metode penelitian Siklus Hidup Menyeluruh dengan tahapan-tahapan meliputi: (1) analisis, (2) desain, (3) pengembangan, (4) implementasi dan (5) penilaian. Dari penelitian ini didapatkan hasil: 1) Media interaktif pengurutan algoritma telah dikembangkan serta dinilai baik oleh ahli media dan ahli materi dengan rata-rata persentase kelayakan sebesar 83% dan 89% 2) Respon siswa terhadap media interaktif pengurutan algortima didapatkan penilaian dengan persentase 90% dengan kriteria sangat baik, 3) Penggunaan multimedia meningkatkan pemahaman kognitif siswa, dibuktikan dari rata-rata nilai sebesar 36,00. Kemudian mengalami kenaikan setelah menggunakan multimedia, rata-rata nilai menjadi sebesar 74.67. Selain itu berdasarkan hasil pretest dan posttest, diperoleh rata-rata n-gain sebesar 0,61 dengan kriteria efektivitas “Sedang”.
Implementation of multimedia interactive learning through a STEM approach based on computational thinking to improve student learning outcomes Rambari Apandi, Anjar; Munir, Munir; Riza, Lala Septem
Cendikia : Media Jurnal Ilmiah Pendidikan Vol 14 No 4 (2024): March : Education Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cendikia.v14i4.4936

Abstract

This research was conducted to measure student learning outcomes using interactive multimedia with a STEM approach based on computational thinking in the informatics subject on binary numbers in class VII SMPN 1 Batujajar. The type of research used is quasi-experimental. The sample used was class VII D with a total of 32 students. The data used in this research used a pretest and posttest by giving 20 questions. Test testing is carried out by testing validity, reliability, difficulty index, and distinguishing power of questions. Data analysis uses score gain. The average pretest score before being given treatment using interactive multimedia was 50.5 and the average posttest score after being given treatment using interactive multimedia with a problem based learning model was 84.2. Thus, a gain value of 0.6814 is obtained in the medium category. It can be concluded that interactive multimedia with a STEM approach based on computational thinking can improve the learning outcomes of class VII D students at SMPN 1 Batujajar in the informatics subject on binary numbers.
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.
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.
Comprehensive Review: Transforming Self-Education through Automatic Question Generation Technology Erry Fuadillah; Lala Septem Riza; Rani Megasari
Master Journal of Future Education Vol. 2 No. 1 (2025): Oktober
Publisher : CV. Master Literasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63461/cadikajournal.v21.296

Abstract

Automatic question generator (AQG) technology is a system developed to create questions automatically from input in the form of text, images, and videos. AQG has been developed using various approaches such as natural language processing (NLP), statistical approaches, and other machine approaches. AQG has a very important role in the world of education, especially in independent education, because it can be used as a good evaluation medium for students. Utilizing AQG in independent education gives students full control to determine their learning. AQG turns learning into a more interactive experience by generating questions that can trigger critical thinking and problem-solving skills. AQG technology developed in independent learning will encourage students to respond actively to the material and understand concepts more deeply. Approximately 60% of research related to AQG has been conducted for assessment, 18% for knowledge acquisition, and the remainder for validation and other purposes. This research was conducted by conducting a comprehensive review of 63 articles related to AQG in education.
Evaluating Research Trends and Gaps in Disaster Literacy within Science Education: A Bibliometric Perspective Prasetyaningsih Prasetyaningsih; Ida Kaniawati; Lala Septem Riza; Judhistira Aria Utama
Journal Evaluation in Education (JEE) Vol 6 No 1 (2025): January
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jee.v6i1.1248

Abstract

Purpose of the study: This study aims to evaluate research trends, gaps, and global patterns in disaster literacy within science education to identify areas for improvement and provide actionable recommendations for enhancing education strategies in disaster-prone regions. Methodology: A bibliometric analysis was conducted using data from the Scopus database (2000-2024). Tools used include R Studio with the Bibliometrix package for generating visualizations such as co-occurrence networks, word clouds, and trend analyses. The dataset comprises 315 articles selected using “disaster literacy” and "science education". Main Findings: Findings indicate an increasing focus on disaster literacy research, with eminent themes such as technology integration and project-based learning. However, significant gaps remain in contributions from developing nations and the long-term evaluation of disaster literacy programs. Collaborative international research has been identified as a growing trend. Novelty/Originality of this study: This study uniquely combines bibliometric analysis with an evaluative approach to highlight disparities in disaster literacy research and propose strategies for improving curriculum integration and global collaboration. It advances understanding by identifying underexplored areas and providing a foundation for targeted educational interventions.
Stock Price Prediction Using the ETSFormer Model Case Study: PTBA Muhammad Azka Atqiya; Lala Septem Riza; Ani Anisyah
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.6729

Abstract

The capital market in Indonesia is currently experiencing very rapid development. This growth is significantly evidenced by the increasing number of investors, especially from the millennial and Gen Z demographics. However, this growing investor base also faces a major challenge: high stock price volatility. These fluctuations are triggered by various factors, ranging from domestic economic policies and global geopolitical conditions to rapidly changing market sentiment. This research aims to build a stock price prediction model for PT Bukit Asam Tbk (PTBA) using the ETSFormer architecture, a modern Transformer-based method designed for time-series data. The historical stock price data used in this study covers a five-year period from 2020 to 2025. To ensure optimal model performance, the best model was identified using the Grid Search technique to find the most effective combination of hyperparameters. The results of this study determined that the best model was achieved with the hyperparameters model dimension = 16, batch size = 16, and a learning rate = 0.01, which yielded a validation loss of 0.0074. In the evaluation phase, this model demonstrated solid performance with a MAPE score of 3.28%, an MAE of 86.76, and an RMSE of 117.2. Although the resulting model is quite good at reading long-term trend directions, observations indicate limitations in capturing short-term price volatility. This implies that the model is more suitable for strategic trend analysis than for predicting daily fluctuations.
Differentiated Problem Based Learning Elevates Vocational Student Collaboration Skills: Pembelajaran Berbasis Masalah Berdiferensiasi Meningkatkan Kolaborasi Siswa Vokasi Al Husaeni, Dwi Fitria; Rahman, Eka Fitrajaya; Mulyanti, Budi; Riza, Lala Septem; Sulistiyono, Yakub Eriyanto; Pratiwi, Pratiwi
Pedagogia : Jurnal Pendidikan Vol. 15 No. 2 (2026): August
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pedagogia.v15i2.1886

Abstract

General Background Collaboration skills are essential competencies in contemporary education, particularly within problem-based and interactive learning environments. Specific Background Problem-Based Learning integrated with deep learning and differentiated approaches has been proposed to support meaningful engagement and teamwork among vocational students. Knowledge Gap However, empirical evidence on how differentiated PBL combined with deep learning systematically strengthens collaboration skills in formal vocational education remains limited. Aims This study aims to examine the application of differentiated PBL with deep learning to strengthen students’ collaboration skills through iterative classroom action cycles. Results The findings show a progressive increase in collaboration skills from 30.22% in the first cycle to 87.21% in the third cycle, accompanied by improved teaching quality from 46% to 87%, indicating a strong positive relationship between instructional quality and collaborative performance. Novelty The study introduces the integration of differentiation across material, process, and product within PBL and combines qualitative and quantitative observations in a vocational classroom context. Implications These results highlight the importance of adaptive instructional design, learning style mapping, and structured group interaction to foster inclusive, collaborative learning aligned with 21st-century competencies. Highlights• Progressive cycles demonstrate substantial growth in cooperative performance indicators• Adaptive grouping and varied learning products support inclusive participation dynamics• Instructional quality aligns consistently with improved teamwork engagement KeywordsCollaboration Skills; Problem Based Learning; Differentiated Learning; Deep Learning; Vocational Education
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 Agus Setiawan Ahmad Firdaus Ahmad Fadzil Ahmad Zainal Abidin Al Husaeni, Dwi Fitria Al Husaeni, Dwi Novia Aldi Zainafif Alejandro Rosales Pérez Alejandro Rosales-Pérez Amay Suherman Amirah Misdan, Nur Farhanah Amni Munira Khidir Andre Rangga Gintara Ani Anisyah Ani Anisyah anne Hafina, anne Anthonio Akbar Aqhbar Habib Aria Sastra Wisesa Arianti, Andini Setya Asep Bayu Dani Nandiyanto Asep Wahyudin Asep Wahyudin AZ Pranata Budi Mulyanti Budiana, Dian Cep Ubad Abdullah Dadang Lukman Hakim Destian, Rangga Dewini Dewini Dwi Novia Al Husaeni E. Erlangga Edy Soewono Eka Fitrajaya Rahman Eki Nugraha Eliyawati Eliyawati Enjang Ali Nurdin Enjun Junaeti Erna Piantari Faisal Syaiful Anwar Farhan Dhiyaa Pratama Fathimah, Nusuki Syari'ati Fatimah, Nusuki Syariati Ferry Mukharradi Simatupang Fidela Zhafirah Fuadillah, Erry Gerraldi, Alief Gunarso Hasanah , Lilik Nur Hasrol Jono, Mohd Nor Hajar Hayati , Nurlaila Herbert Siregar Homdijah, Oom Siti Husni Firmansyah Ida Kaniawati Ilhamdaniah Ilhamdaniah Irsyad Fauzan Nurdin ISKANDAR, AYSHA ALIA Isma Widiaty Jaja Kustija Jajang Kusnendar Judhistira Aria Utama Kafilli, Muhammad Fikri Kennedy Barfi Yaw Agyeibi Kenny David Kenny David Khairul Nurmazianna Ismail Khyrina Airin Fariza Abu Samah Khyrina Airin Fariza Abu Samah Kuntjoro Adji Sidarto Liliasari Mahmoud Fahsi Masnur Ali Mediayani, Melani Mohamad Faiz Dzulkalnine Mohd Nor Hajar Hasrol Jono Mohd Nor Hajar Hasrol Jono Muhamad Nabil Fahruddin Muhammad Afif Auliya Muhammad Alam Basallamah Muhammad Aziz Muhammad Azka Atqiya Muhammad Hazmi Zuhdi Muhammad Irfan Firmansyah Muhammad Rafi Valliansyah Muhammad Ramdan Pamungkas Muhammad Syafri Syamsudin Mumu Komaro Munir Munir Munir Munir Munir, Munir N. Nurjanah Nabila, Ghina Firdha Nanang Dwi Ardi Naufal Rabah Wahidin Nazir, Shah Nor Aiza Moketar Nor Intan Shafini Nasaruddin Novi Sofia Fitriasari Novitasari , Eka Fitri Novri Asri Nur Maisarah Nor Azharludin Nur Maisarah Nor Azharludin Nuraulia, Anti Nurhayati, Ai Siti Nurqueen Sayang Dinnie Wirakarnain Nusratullo, Samialloi Olyan, Warzuqni Parlindungan Sinaga Pérez, Alejandro Rosales Pertiwi, Anita Dyah Piantari, Erna Prabawa, Harsa Wara prasetyaningsih prasetyaningsih Prasetyaningsih, Prasetyaningsih Pratiwi Pratiwi Pudjo Sukarno Pudjo Sukarno Putri , Ananda Hafizhah Putri , Liandha Arieska Putri Amelia Solihah Putri, Iffa Ichwani Qobus, Muhammad Shofwan Rahman, M Ammar Fadhlur Raihah Aminuddin Rambari Apandi, Anjar Rani Megasari Raseeda Hamzah Raseeda Hamzah Rasim Rasim, Rasim Rena Zaen Rendi Adistya Rosdiyana Riandi Riandi Riezqa Andika Rika Rafikah Agustin Rizky Rachman Judie Rooseno Rahman Dewanto Rosa, Elisa Rosi Oktiani Rosniza Roslan Rosniza Roslan Rosyda, Miftahurrahma Sabila Fauziyya Safitri, Fibriyana Sahidin, M. Zaenal Iskandar Samah, Khyrina Airin Fariza Abu Sapiruddin, Sapiruddin Selvi Marcellia Shah Nazir Shah Nazir Shah Nazir Sigit Nugroho Siregar, Herbert Siregar, Nofi Marlina Solihat, Syifa Sugeng Rifqi Mubaroq Sulistiyono, Yakub Eriyanto Suratno Susilawati - Tarpin Juandi Tarpin Juandi Taufiq Hidayat Topik Hidayat Tutuka Ariadji Tyas Farrah Dhiba W. Wahyudin 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