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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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Natural Language Processing and Levenshtein Distance for Generating Error Identification Typed Questions on TOEFL Lala Septem Riza; Faisal Syaiful Anwar; Eka Fitrajaya Rahman; Cep Ubad Abdullah; Shah Nazir
Journal of Computers for Society Vol 1, No 1 (2020): JCS: June 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jcs.v1i1.24940

Abstract

Test of English as a Foreign Language (TOEFL) is one of the evaluations requiring good quality of the questions so that they can reflect the English abilities of the test takers. However, it cannot be denied that making such questions with good quality is time consuming. In fact, the use of computer technology is able to reduce the time spent in making such questions. This study, therefore, develops a model to generate error identification typed questions automatically from news articles. Questions from the sentences on news sites are created by utilizing Natural Language Processing, Levenshtein Distance, and Heuristics. This model consists of several stages: (1) data collection; (2) preprocessing; (3) part of speech (POS) tagging; (4) POS similarity; (5) choosing question candidates based on ranking; (6) determining underline and heuristics; (7) determining a distractor. Testing ten different news articles from various websites, the system has produced some error identification typed questions. The main contributions of this study are that (i) it can be used as an alternative tool for generating error identification typed questions on TOEFL from news articles; (ii) it can generate many questions easily and automatically; and (iii) the question quality are maintained as historical questions of TOEFL.
Correlation Analysis of Open Street Map, Demography, and Vaccination on the Number of Covid-19 Cases Using Multiple Linear Regression and Pearson Correlation Product Moment Aqhbar Habib; Erna Piantari; Lala Septem Riza
Journal of Computers for Society Vol 5, No 2 (2024): JCS: September 2024
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jcs.v5i2.70798

Abstract

At the beginning of 2020, the world was shocked by the spread of Coronavirus Disease 2019 (Covid-19). The resulting losses cover various areas. This research aims to analyze the correlation between spatial data, demographic data, and vaccination data on the spread of Covid-19 in Bandung City using Multiple Linear Regression (MLR) and Pearson Correlation Product Moment (Pearson's r). The results show that there are only 3 variables that are significantly correlated with Covid-19 cases. The lowest variables are Residential, Population Density, and Healthy Homes. Has a significant simultaneous correlation with Covid-19 cases with a coefficient of determination (R^2) of 0.55404. The model built also passed the 3 Classical Assumptions test so that the results can be trusted for their level of truth and feasibility. The results of experiments using the Pearson's r model involving 5 vaccination periods show that out of 30 sub-districts in Bandung City, there are 20 sub-districts that have a significant correlation between vaccination and the addition of Covid-19 cases and have a negative correlation direction of 80.54%. The results of the Pearson's r model experiment involving 6 vaccination periods show that there are 9 sub-districts that have a relationship. With a negative correlation direction of 72.93%.
Apache Spark Implementation on Algorithms Boyer-Moore Horspool for Case Studies Internal Transcribed Spacer and Restriction Enzyme Fidela Zhafirah; Topik Hidayat; Lala Septem Riza
Journal of Computers for Society Vol 5, No 1 (2024): JCS: June 2024
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jcs.v5i1.70790

Abstract

The huge increase in the amount of data is a problem today. The increase in large amounts of data makes storage very large and processing data becomes very long. Meanwhile, the speed of the process is very necessary to streamline time. This research is dedicated to solving storage and process problems as a big data processing solution by creating a string matching computational model using the Boyer-Moore Horspool algorithm using the Big Data platform, Apache Spark where the Hadoop Distributed File System as data storage on the cluster. In this study, a comparison of string matching process time between stand-alone, the use of Apache Spark single nodes, the use of Apache Spark 3 nodes, 5 nodes, 11 nodes and 16 nodes using Hadoop Distributed File System storage on clusters on Google Cloud Platform. The case study used is bioinformatics by solving two problems in the field of biology, namely the search for motives related to determining the group of flowering plants with other plant groups and the search for motives as detection of begomovirous symptoms as the cause of curly leaf disease. In the results of the study, insignificant time was obtained because the data used could still be processed by classical programs so that the execution time was not much different. The accuracy of the program run on Apache Spark is 83.5%.
Utilizing Learning Media In Biology: A Step Towards Interactive Media Development Putri, Iffa Ichwani; Rahmat, Adi; Riandi, Riandi; Riza, Lala Septem
Journal of Natural Science and Integration Vol 7, No 2 (2024): Journal of Natural Science and Integration
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jnsi.v7i2.29493

Abstract

The study addresses the complexities inherent in teaching and learning biology, a subject that is often challenging for students due to its intricate concepts. Focusing on the intersection of pedagogy and technology, this research evaluates the perceptions of high school teachers and students towards the integration of contemporary learning media in biology instruction. Utilizing a descriptive and quantitative approach, the research engaged a purposively sampled cohort of educators and learners to explore their views. this study involved 56 teachers and 133 students spread across several schools. Data were gleaned through a combination of structured questionnaires and interviews, subsequently subjected to quantitative analysis. The findings reveal a consensus on the critical role of media in facilitating biology education. Teachers and students agree that technology-based media can improve understanding of biological concepts and strengthen student engagement. While there is a significant reliance on media to convey biological concepts, the findings indicate that the potential of technology-based media. However, the study uncovers a lag in the effective deployment of technological resources, with interactive multimedia being underutilized by a notable fraction of educators. This gap underscores the need for enhanced strategies to foster the adoption of technology-enhanced learning tools in the biological sciences.Keywords: interactive, multimedia, science, technology
The Implementation of Project-Based Learning (PBL) with ADDIE Model to Improve Students' Creative Thinking Ability Wahyudin, Wahyudin; Qobus, Muhammad Shofwan; Fatimah, Nusuki Syariati; Riza, Lala Septem; Adedokun-Shittu, Nafisat Afolake
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 9 No. 2 (2024): November 2024
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v9i2.77240

Abstract

Creative thinking ability is one of the thinking concepts used to find ideas that people are starting to be interested in. Creative thinking can be used as a relevant tool in building innovation and as a method for building innovation models, one of which is a learning model. The project-based learning model is a solution that influences students' activeness and creativity in learning. The purpose of this research is to apply a project-based learning model that is expected to improve students' creative thinking abilities on creative product and entrepreneurship subjects on the Internet of Things material. The development model used in this research is ADDIE (Analyze, Design, Development, Implementation, Evaluation) with a One Group Pretest-Posttest research design. Based on the research results, there are several conclusions, including the following: 1) Students' creative thinking abilities by implementing the project-based learning model can be seen from the average pretest score of 38.24 and the average posttest score of 70.15. 2) The normalized gain test results obtained a mean of 0.517 with the "Medium" criteria, which means there is a difference in creative thinking abilities after the treatment process. There are four aspects given when giving the TAM questionnaire to students, namely the user's perception of usefulness with a percentage of 86.67%, the user's perception of ease of use with a percentage of 84.71%, attitude towards use with a percentage of 83.53 and attention. With a percentage of 86.27%, and the average obtained for the four aspects was 85.29% in the "Very Good" category.
Prediction of House Price using the Multivariate Adaptive Regression Spline Method ISKANDAR, AYSHA ALIA; Al Husaeni, Dwi Fitria; Sahidin, M. Zaenal Iskandar; Riza, Lala Septem; Wahyudin, W.
Jurnal Tekno Insentif Vol 19 No 1 (2025): Jurnal Tekno Insentif
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah IV

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36787/jti.v19i1.1858

Abstract

Kekritisan lingkungan adalah kondisi suatu wilayah yang menunjukkan tingkat kerusakan atau kekritisan yang dapat memengaruhi kemampuan lingkungan dalam mendukung kehidupan manusia dan ekosistem. Faktor penyebabnya meliputi rendahnya vegetasi (NDVI), meningkatnya lahan terbangun (NDBI), suhu permukaan tinggi (LST), dan kepadatan penduduk. Tujuan penelitian ini menganalisis tingkat kekritisan lingkungan di Kota Bandar Lampung serta hubungan antara parameter tersebut terhadap kekritisan lingkungan. Metode yang digunakan adalah algoritma Environmental Critical Index (ECI) yaitu pendekatan integratif yang menggabungkan beberapa parameter lingkungan untuk menilai tingkat kekritisan wilayah secara spasial dan kuantitatif dengan data citra Landsat 8 (2014) dan Landsat 9 (2023). Hasil penelitian menunjukkan adanya peningkatan kekritisan cukup signifikasan sebesar 50% terjadi pada area sangat kritis seluas 1.447,74 ha. Sebaliknya terjadi penurunan pada area tidak kritis sebesar 35% atau seluas 1.029,16 ha dan pada area kritis sebesar 15% atau seluas 418,58 ha. Faktor yang paling berpengaruh terhadap kekritisan lingkungan adalah NDBI.
A Content Analysis of Digital Edutainment for Disaster Literacy in Higher Education Prasetyaningsih, Prasetyaningsih; Kaniawati, Ida; Riza, Lala Septem; Utama, Judhistira Aria
Jurnal Penelitian dan Pembelajaran IPA Vol 11, No 1 (2025): Available Online in May 2025 (Web of Science Indexed)
Publisher : Department of Science Education, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30870/jppi.v11i1.29857

Abstract

Disaster literacy is a crucial competency for communities at risk of natural hazards, especially for higher education students who will significantly contribute to future preparedness efforts.  This research aimed to examine the efficacy of digital edutainment, including films and interactive content on platforms such as YouTube, TikTok, Instagram, and Coursera, in improving disaster literacy.  We conducted a qualitative content analysis of materials concerning disaster knowledge, attitudes, and practical skills pertinent to mitigation and emergency response. Results indicate that edutainment effectively enhances foundational knowledge and promotes proactive attitudes; however, practical skills, including evacuation procedures and preparedness drills, are inadequately represented.  It is advisable to collaborate with scientific agencies such as BMKG and BNPB to ensure the accuracy and relevance of content.  This research emphasises the importance of incorporating edutainment into higher education curricula as an effective combination of learning and entertainment, supporting a comprehensive approach that integrates knowledge, attitudes, and skills to enhance societal preparedness for future disasters.
Deteksi Aksi Kekerasan pada Video CCTV Berbasis Skeleton dan Frame Grouping Menggunakan ConvLSTM Kafilli, Muhammad Fikri; Riza, Lala Septem; Wihardi, Yaya
JATISI Vol 12 No 3 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i3.12873

Abstract

Manual monitoring of surveillance video (CCTV) is inefficient and prone to human oversight. This drives the need for an automated violence detection system that is fast and accurate. Existing deep learning models are often too computationally heavy for real-time implementation, creating a dilemma between accuracy and efficiency. This research proposes a lightweight two-stream ConvLSTM architecture to address this dilemma. The method efficiently models spatio-temporal relationships by combining skeleton representation and change detection, which is then packaged through a frame grouping technique. The ConvLSTM layer serves as the main temporal model, supported by a SeparableConv2D backbone for efficient feature extraction. The model is trained on the RWF-2000 dataset and evaluated using cross-dataset validation on the Surveillance Camera Fight Dataset to test its generalization capability. The results show that the proposed model achieves superior performance with an accuracy and F1-Score of 74.00%, and is highly efficient with an inference speed of 518.45 FPS. This research demonstrates that the two-stream architecture combining skeleton representation, frame grouping, and ConvLSTM modeling successfully creates a robust, fast violence detection system, offering a practical solution for real-world monitoring applications.
Development of a Drill-and-Practice Chatbot for Enhancing English Pronunciation through Interactive Dialogue Exercises Iskandar, Aysha Alia; Megasari, Rani; Nazir, Shah; Riza, Lala Septem
Jurnal Paedagogy Vol. 12 No. 4 (2025): October
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jp.v12i4.17760

Abstract

This study aims to implement a drill and practice-based chatbot to improve English speaking skills, particularly in the aspect of pronunciation. The research employed a mixed-methods approach by combining the Research and Development (ADDIE) model with a quasi-experimental design using a pretest-posttest control group pattern. The participants consisted of 76 eighth-grade students from SMPN 5 Cirebon, divided into experimental and control groups. The instruments used included a pronunciation assessment rubric based on the Cambridge English Linguaskill Speaking Global Assessment Criteria, observation sheets, and student perception questionnaires. Data analysis was conducted through normality tests, the Wilcoxon Signed Rank Test, the Mann-Whitney U Test, and N-Gain calculation, complemented by qualitative analysis from observations and questionnaires. The findings revealed that the use of a drill and practice-based chatbot had a positive impact on improving students' pronunciation skills, although the improvement achieved remained merely in the low category, with an N-Gain score of 0.25. The chatbot was proven to provide broader, more flexible, and personalized practice opportunities for students, as well as facilitate instant feedback that is difficult to obtain in conventional learning. These results indicate that chatbots can serve as an effective supplementary medium in English language learning, particularly for practicing pronunciation both independently and in integration with classroom learning, suggesting the potential for further development and integration of chatbot technology in language education.
Penerapan Computational Thinking melalui Aktifitas Unplugged dalam Materi Pengelolaan Sampah pada Pendidikan Anak Usia Dini Rosa, Elisa; Nuraulia, Anti; Destian, Rangga; Riza, Lala Septem
Jurnal Pendidikan Tambusai Vol. 8 No. 1 (2024): April 2024
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v8i1.14509

Abstract

Pembelajaran yang mengintegrasikan computational thinking untuk tingkat anak usia dini masih jarang ditemukan di Indonesia, padahal kemampuan ini dipercayai para ahli sebagai kemampuan yang dibutuhkan pada abad 21. Dengan computational thinking proses belajar menjadi lebih bermakna dan diharapkan dapat melatih kemampuan menyelesaikan permasalahan dengan langkah-langkah yang logis, terstruktur, dan efektif bagi anak usia dini. Guru dituntut memiliki kemampuan merancang pengalaman pembelajaran dengan menggabungkan konsep computational thinking. Dalam mengenalkan computational thinking pada anak usia dini salah satunya dapat dilakukan dengan aktifitas unplugged. Tujuan dari penelitian adalah menerapkan computational thinking melalui aktifitas unplugged untuk meningkatkan pemahaman anak usia dini dalam pengelolaan sampah khususnya memilah jenis sampah yang berbeda baik organik,non organik dan residu. Metode yang digunakan adalah metode kuantitatif jenis eksperimen dengan One-Group Pre-test-Post-test design yang melibatkan siswa siswi TK Baiti Kids bandung. Dari hasil uji t, dapat disimpulkan bahwa terdapat peningkatan pemahaman siswa terhadap pengelolaan sampah. Peningkatan skor yang signifikan juga terlihat berdasarkan analisis dekriptif dimana nilai rerata pretest sebesar 45,91 dan nilai rerata postest sebesar 81,82.
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