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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-Based Training Model: Does It Improve Fundamental Badminton Young Athletes' Skills? Eka Fitri Novita Sari; Nofi Marlina Siregar; Sigit Nugroho; Lala Septem Riza; Masnur Ali; Novri Asri
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.
Analysis Of The Validity And Reliability Of A Critical Thinking Skills Instrument On The Topic Of Wave-Particle Duality Using Rasch Model Tarpin Juandi; Ida Kaniawati; Achmad Samsudin; Lala Septem Riza; Susilawati Susilawati; Sapiruddin Sapiruddin
QUANTUM: Jurnal Inovasi Pendidikan Sains Vol 15, No 2 (2024): Oktober 2024
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/quantum.v15i2.19996

Abstract

This study aims to analyse the validity and reliability of a critical thinking skills instrument on the topic of wave-particle dualism using the Rasch model. Data collection was carried out by administering a critical thinking skills test to students enrolled in a modern physics course. A total of 36 students from a university in West Nusa Tenggara participated. Data analysis was performed using the Rasch model through the Winsteps 4.6.1 software. The results indicated that the instrument is valid and reliable. The instrument's validity was tested by examining the data's fit to the Rasch model through infit and outfit MNSQ values and ZSTD, all of which were within the expected acceptance range. Construct validity was analysed through standardized residual variance, showing that the Rasch model can explain most of the variance in the data. Similarly, the instrument's reliability showed that the item reliability was in the very good category (0.93) and the person reliability was in the moderate category (0.68), with a Cronbach's alpha value of 0.86, indicating very good internal reliability. These findings confirm that the Rasch model is effective in assessing and improving the quality of critical thinking skills evaluation instruments in the context of modern physics education.
Analyzing Critical Thinking Skills of Physics Preservice Teachers on Electricity and Magnetism M. Furqon; Parlindungan Sinaga; Liliasari; Lala Septem Riza
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.
A Pengembangan Chatbot Informasi Kesehatan Ibu dan Anak Jawa Barat Berbasis Hybrid RAG dan TextToSQL Muhammad Alam Basallamah; Lala Septem Riza; Ani Anisyah
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 3 (2026): Februari 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i3.783

Abstract

The high Maternal Mortality Rate and stunting prevalence in West Java hinder the achievement of SDGs. Information accessibility remains a key constraint as data is scattered in narrative formats within Health Profiles and MCH Books. This study develops a hybrid chatbot based on Retrieval-Augmented Generation (RAG) and Text-to-SQL using the Google Gemini Large Language Model. The system integrates hierarchical chunking, intelligent routing, conversational memory, and automatic data visualization to present factual and statistical information precisely. System evaluation demonstrates high performance: Text-to-SQL reached 93.33% execution accuracy and 85% Router accuracy. In the RAG module, testing on 60 questions yielded scores of 0.990 Faithfulness, 0.883 Context Recall, and 0.950 Answer Relevancy. The system achieved a perfect score of 1.000 for out-of-context handling, proving safety from hallucinations. User Acceptance Testing (UAT) recorded a 80% success rate, where the chart feature was rated significant in aiding data understanding. The study concludes that the hybrid approach effectively enhances health insight accessibility for the public and stakeholders, although complex table extraction requires further optimization.
The Application of Rasch Model to Analyse the Validity and Reliability of an Instrument for Reflective Thinking Skills on Topic of Wave-Particle Dualism Tarpin Juandi; Ida Kaniawati; Achmad Samsudin; Lala Septem Riza
Kappa Journal Vol 8 No 2 (2024): Kappa Journal
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v8i2.27049

Abstract

This study aims to analyse the validity and reliability of an instrument for assessing reflective thinking skills on the topic of wave-particle dualism in modern physics lectures using the Rasch model. The Rasch model was selected for its capability to provide a more in-depth analysis of item performance and respondent ability, as well as to identify misfitting or biased items. The research method employed is a descriptive quantitative approach, utilizing Winsteps software for data analysis. The sample consists of 36 students enrolled in modern physics lectures at a university in West Nusa Tenggara. The results indicate that the instrument has excellent item reliability (0.91) and excellent internal consistency (Cronbach's Alpha 0.86), although the respondent reliability falls into the weak category (0.62). The instrument's validity also meets the Rasch model's acceptance criteria, with infit MNSQ and outfit MNSQ values ranging from 0.5 to 1.5. Further analysis reveals that some items are misfitting and need revision to ensure fairness and consistency in measuring reflective thinking skills. These findings make a significant contribution to the development of more accurate and reliable assessment tools in physics education
NLP-Based Quranic Verse Retrieval In Islamic Education: A Development Model And Preliminary Evaluation Of Computational Thinking Irsyad Fauzan Nurdin; Lala Septem Riza; Rani Megasari
Jurnal Paedagogy Vol. 13 No. 3 (2026): July
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jp.v13i3.20755

Abstract

This study aims to develop a Natural Language Processing (NLP)-based Quranic verse retrieval model to support Quranic verse exploration and Computational Thinking (CT)-oriented learning in Islamic Education. The study employed the ADDIE development framework, and the model was implemented with Grade XI students and Islamic Education teachers at a private high school. Data were collected using a mixed-methods approach, including pre- and post-tests, perception questionnaires, expert validation, and teacher interviews. Quantitative data were analyzed using descriptive statistics, the Shapiro–Wilk test, the Wilcoxon signed-rank test, N-gain analysis, and descriptive percentage analysis of questionnaire responses, while qualitative data were analyzed through thematic analysis. The results demonstrated a significant improvement in students’ mean scores, increasing from 74.40 to 96.40 (*p* < 0.001), with a high average N-gain of 0.882. Student and teacher responses reached 90.19% and 77.50%, respectively, indicating positive acceptance of the proposed model. Although the one-group pretest–posttest design limits causal inference and CT was operationalized through learning-process indicators and user perceptions rather than comprehensive performance-based assessment, the findings suggest that the model has considerable potential as a technology-enhanced medium for exploratory learning in Islamic Education. Future research should focus on expanding the Quranic corpus, integrating tafsir resources, validating retrieval performance using standard information retrieval metrics, and incorporating performance-based assessments to measure Computational Thinking more comprehensively.
Diagnosing Object-Oriented Programming Difficulties: Association Rule Mining and Block-Based Scaffolding Andre Rangga Gintara; Lala Septem Riza; Wahyudin
IJIES (International Journal of Innovation in Enterprise System) Vol 10 No 1 (2026): International Journal of Innovation in Enterprise System - Article in Press
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v10i01.10530

Abstract

Logical thinking is fundamental for Object-Oriented Programming, yet vocational students frequently struggle with its abstract concepts. This study aims to overcome these cognitive barriers through a data-driven diagnostic approach and targeted intervention. Utilizing Educational Data Mining techniques, specifically Association Rule Mining, this research analyzed pretest patterns to map learning difficulties among 35 software engineering students in Indonesia. A Research and Development method with a One-Group Pretest-Posttest design was employed. The analysis revealed a "cognitive domino effect," identifying that failures in advanced topics are rooted in specific prerequisite weaknesses. Based on these findings, a remedial intervention using a Scaffolding model assisted by Block-Based Programming was implemented. The results demonstrated that this data-driven intervention significantly enhanced students' logical thinking skills (p<0.001), with a substantial increase in N-Gain scores. It is concluded that integrating algorithmic diagnosis with visual scaffolding effectively bridges the gap between abstract concepts and practical coding skills, offering a scalable model for vocational education.
Malaysian fibre internet service provider: a naïve Bayes classification Twitter sentiment analysis Khyrina Airin Fariza Abu Samah; Muhamad Nabil Fahruddin; Raseeda Hamzah; Lala Septem Riza; Khairul Nurmazianna Ismail; Rosniza Roslan; Raihah Aminuddin; Nor Intan Shafini Nasaruddin
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 22, No 6: December 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v22i6.25990

Abstract

In the highly competitive landscape of Malaysian internet service providers (ISPs), users seek efficient ways to assess service quality. While various websites allow visual comparisons of fiber ISPs, a direct side-by-side evaluation remains elusive. A survey of 101 respondents revealed that 92.1% found researching a company’s reputation time-consuming. Additionally, relying on English-centric online ratings may lead to skewed outcomes, disregarding reviews in diverse languages. In response, we developed a web-based dashboard utilizing Twitter sentiment analysis (SA) and the naïve Bayes (NB) algorithm to classify Malaysia’s best fiber ISPs. The SA focused on four key factors: package price, internet speed, coverage area, and customer service, simplifying the comparison process. The system’s usability and functionality tests showed that both the English and Malay models could classify scraped Twitter data with an accuracy of 80%. The system’s remarkable usability score of 94.58% on the system usability scale (SUS) confirms its acceptability and excellent performance in achieving research goals.
Genomic repeats detection using Boyer-Moore algorithm on Apache Spark Streaming Lala Septem Riza; Farhan Dhiyaa Pratama; Erna Piantari; Mahmoud Fahsi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14883

Abstract

Genomic repeats, i.e., pattern searching in the string processing process to find repeated base pairs in the order of Deoxyribonucleic Acid (DNA), requires a long processing time. This research builds a big-data computational model to look for patterns in strings by modifying and implementing the Boyer-Moore algorithm on Apache Spark Streaming for human DNA sequences from the Ensemble site. Moreover, we perform some experiments on cloud computing by varying different specifications of computer clusters with involving datasets of human DNA sequences. The results obtained show that the proposed computational model on Apache Spark Streaming is faster than standalone computing and parallel computing with multicore. Therefore, it can be stated that the main contribution in this research, which is to develop a computational model for reducing the computational costs, has been achieved.
Comparative analysis of ensemble learning algorithms in enhanced confidence-based assessments Nur Maisarah Nor Azharludin; Khyrina Airin Fariza Abu Samah; Mohamad Faiz Dzulkalnine; Ahmad Firdaus Ahmad Fadzil; Mohd Nor Hajar Hasrol Jono; Lala Septem Riza
Bulletin of Electrical Engineering and Informatics Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i2.9935

Abstract

This paper provides a comparative analysis of ensemble learning (EL)algorithms to enhance the confidence-based assessment (CBA) in evaluating student performance. Traditional CBA often suffers from misclassification caused by overconfidence and underconfidence, limiting its accuracy and fairness. To address these challenges, an enhanced CBA-EL model integrating bagging and boosting ensemble algorithms is proposed. Five bagging algorithms, which are random forest (RF), decision tree (DT)support vector machine (SVM), K-nearest neighbors (KNN), Naïve Bayes(NB), and four boosting algorithms, which are adaptive boosting(AdaBoost), eXtreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), and categorical boosting (CatBoost), were evaluated using a dataset of 276 responses collected from Pre- and Post-Quiz CBA in a discrete structures course. Algorithm performance was evaluated using accuracy, correlation, weighted mean precision (WMP), and weighted mean recall (WMR). RF achieved 73.19% accuracy, 0.725 correlation, 0.751 WMP, and 0.766 WMR, while CatBoost outperformed all with 86.23% accuracy and the highest correlation, WMP, and WMR values, with 0.842, 0.843, and 0.862, respectively. The findings indicate that integrating EL into CBA improves prediction accuracy and supports bias-aware student evaluation. This research advances reliable assessment practices and informs the development of adaptive learning systems.
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