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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.
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Penerapan Metode Pembelajaran Computer Science Unplugged (CSU) Pada Mata Pelajaran Administrasi Infrastruktur Jaringan Terhadap Hasil Belajar Siswa (Studi Kasus: SMK N Pekerjaan Umum Bandung) Dewini Dewini; Eka Fitrajaya Rahman; Lala Septem Riza
Jurnal Guru Komputer Vol 1, No 2 (2020): JGrKom: September 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jgrkom.v1i2.27999

Abstract

Penelitian ini dilatarbelakangi oleh permasalahan yang ada terkait sarana prasarana yang kurang merata sebagai salah satu penyebab rendahnya kualitas siswa dan mutu pendidikan di Indonesia. Penelitian ini bertujuan untuk merancang, menerapkan dan mendokumentasikan metode pembelajaran Computer Science Unplugged (CSU) untuk mata pelajaran Administrasi Infrastruktur Jaringan pada materi routing, untuk mengetahui pengaruh metode pembelajaran CSU terhadap peningkatan kognitif siswa.Terdapat tahapan yang disusun untuk pembuatan ide CSU antara lain penentuan tahap dan pemilihan topik materi, pemilihan ide CSU, penentuan ide CSU untuk Materi Routing, Penyusunan Langkah-langkah Pembelajaran, Alat dan bahan peraga. Dari penelitian ini didapatkan hasil: (1) Metode Pembelajaran CSU dalam materi Routing didapatkan dari hasil angket siswa sebesar 85,3% dan hasil angket guru sebesar 82,5% yang diinterpretasikan “Sangat Baik”. 2) Metode Pembelajaran CSU dapat meningkatkan hasil kognitif siswa diperoleh dari rata-rata indeks gain sebesar 0,52 dengan kriteria efektivitas “Sedang”
Developing Question-Based Learning Media by Applying Computational Thinking for Elementary School Students Muhammad Hazmi Zuhdi; Lala Septem Riza; Erna Piantari
Jurnal Guru Komputer Vol 2, No 1 (2021): JGrKom: July 2021
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jgrkom.v2i1.63945

Abstract

This study aims to introduce question-based computational thinking to elementary school students. The background is the study that education in Indonesia needs to be improved in order to answer the global competition in the 21st century which is full of technological and information developments. In today's era everything is integrated with computers and technology, therefore it is necessary to be equipped with Computational Thinking which is believed to be able to train the brain to get used to thinking logically and structurally so that they are faster. Therefore, the development of Computational Thinking learning media was carried out by teaching using questions consisting of 4 categories and totaling 17 questions which were applied to the media. The media development model used was ADDIE (Analyze, Design, Development, Implementation, Evaluate) with a sample of 6 students from grade 6 SDIT 'Alamy Subang. The results of this study indicate that: The instructional media has been evaluated and rated "Very Good" by experts with an average percentage of feasibility of 96.19%. Computational Thinking skills possessed by students vary and have different abilities in each question category and have different levels of difficulty according to the abilities possessed by each student. Students' responses to learning media are enabling students to learn new things and get an average percentage score of 87.11% and are included in the "Very Good" category.
Pembangunan Multimedia Pembelajaran Bagi Siswa Tunanetra Untuk Pengembangan Orientasi Mobilitas Dengan Pendekatan Model Field Trip AZ Pranata; Lala Septem Riza; Rizky Rachman Judie
Jurnal Guru Komputer Vol 1, No 2 (2020): JGrKom: September 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jgrkom.v1i2.28123

Abstract

Penelitian ini dilatarbelakangi oleh dampak ketunanetraan yang menyebabkan anak tunanetra mengalami keterbatasan  dalam interaksi dengan lingkungan, melakukan orientasi mobilitas, dan belajar pada bahan ajar yang bersifat visual. Tujuan dari penelitian ini adalah untuk merancang, mengimplementasikan, dan menganalisis respon siswa tunanetra terhadap konsep multimedia pembelajaran yang digunakan untuk pengembangan orientasi mobilitas dengan mempertimbangkan aspek multimedia anak tunanetra, prinsip orientasi, komponen orientasi, model pembelajaran field trip, dan game. Pembangunan multimedia pembelajaran dalam penelitian ini dilakukan dengan menggunakan metode waterfall. Eksperimen dilakukan dilakukan kepada 3 orang siswa SLB Negeri A Kota Bandung. Hasil dari eksperimen kemudian diolah dan dianalisis berdasarkan metode kualitatif. Temuan penelitian menunjukkan bahwa penggunaan multimedia pembelajaran, tanggapan siswa, dan peroleh nilai setelah menggunakan multimedia pembelajaran sangatlah baik. Multimedia pembelajaran yang dibangun dapat digunakan, diterima, dianggap menyenangkan, dan memberikan dampak positif untuk siswa tunanetra
Educational technology using multimedia in science learning: A systematic review Riza, Lala Septem; Hasanah , Lilik Nur; Putri , Ananda Hafizhah; Budiman, Budiman; Safitri, Fibriyana; Putri , Liandha Arieska; Hayati , Nurlaila; Solihah, Putri Amelia; Samah, Khyrina Airin Fariza Abu
Bulletin of Social Informatics Theory and Application Vol. 7 No. 2 (2023)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v7i2.661

Abstract

This systematic review aims to provide a systematic review of the scientific published studies that examined different multimedia tools in the science teaching and learning process to identify the existing multimedia-based tools and understand their usage, application areas, and impacts on the education system. There are 60 articles extracted from the Scopus database from 2012 to 2022. This review generates six averments about the current study; (1) The most numerous multimedia components are text components; (2) the learning process and application of the use of multimedia in science education can be applied at various levels of education; (3) The majority of the study was conducted in the United States; (4) the current use of technology that is most widely used is the use of power points; (5) the role of technology in the learning process as learning tools, teaching tools, assessment, and evaluation; and (6) the most science content conducted in multimedia research is chemistry.
Inovasi Pembelajaran Daring: Strategi Pelatihan dalam Penyusunan Modul Digital Berbasis Microlearning Junaeti, Enjun; Piantari, Erna; Fathimah, Nusuki Syari'ati; Arianti, Andini Setya; Riza, Lala Septem; Wahyudin, Wahyudin
UN PENMAS (Jurnal Pengabdian Masyarakat untuk Negeri) Vol 4 No 1 (2024): UN PENMAS Vol 4 No 1
Publisher : LPPM Universitas Narotama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/un-penmas.v4i1.2729

Abstract

Kegiatan ini bertujuan untuk mengenalkan konsep dan penerapan strategi pelatihan dalam penyusunan modul digital berbasis microlearning sebagai bagian dari inovasi dalam pembelajaran daring. Metode pelaksanaan melibatkan serangkaian pelatihan dan workshop yang diselenggarakan untuk tenaga pendidik dan praktisi pendidikan di FPMIPA UPI. Hasil dari kegiatan ini adalah peningkatan keterampilan peserta terkait dengan kemampuan praktis dalam menyusun modul digital berbasis Microlearning terutama dalam pembuatan media presentasi, video explainer, infografik, motion grafik, dan media audio. Solusi yang diperoleh dari pengabdian ini mampu memberikan kontribusi positif dalam meningkatkan kualitas pembelajaran daring dan aksesibilitasnya.
A Learning Media Based on Hands-on Activity in Mathematics for Students Special School Nurjanah, Nurjanah; Rohayati, Ade; Riza, Lala Septem
Indonesian Journal of Disability Studies Vol. 8 No. 2 (2021)
Publisher : The Center for Disability Studies and Services Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (305.047 KB) | DOI: 10.21776/ub.ijds.2021.008.02.02

Abstract

The use of hands-on activity-based mathematics learning media for mentally retarded children and cerebral palsy is largely unexplored. Meanwhile, observations of children with special needs (mental retardation and cerebral palsy) at school have not shown good basic math skills, such as counting, recognizing numbers, recognizing letters, performing math operations (for example, addition and subtraction). This study aims to develop a hands-on activity-based learning media model for mentally retarded children and cerebral palsy to improve understanding of mathematics in reading, writing, and arithmetic subjects. The method used is Research and Development, where the subject is the Special School in Bandung, Indonesia. The instruments used in this study were documentation, classroom observation, interviews, and tests of mathematical comprehension abilities. The results showed that a hands-on activity-based learning model could be used to improve basic math skills in reading, writing, and arithmetic for children with mental retardation and cerebral palsy.
Assessing Undergraduate Cognitive System Thinking Instruments in Genetics Lectures: A Rasch Model Analysis Putri, Iffa Ichwani; Rahmat, Adi; Riandi, Riandi; Riza, Lala Septem
AL-ISHLAH: Jurnal Pendidikan Vol 16, No 3 (2024): AL-ISHLAH: JURNAL PENDIDIKAN
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v16i3.5621

Abstract

This study aims to test the reliability, validity and wright person-items of the test instrument. It used to measure students' cognitive system thinking in genetics lectures. This cognitive system dimension (New Marzano Taxonomy) consists of 4 levels: retrieval, comprehension, analysis, and knowledge utilization. The research method used was descriptive quantitative, with respondents as many as 116 undergraduate students who had attended genetics lectures. The instrument used consisted of 20 multiple-choice questions developed from 4 levels of the cognitive dimension of the system. Data analysis using the Rasch Model-Dichotom to generate more accurate estimates based on individual abilities and difficulty levels of question items. The results showed that the Alpha Cronbach and Item Reliability value on the instrument was 0.81 (Very Good) to 0.92 (Best). Furthermore, person reliability is 0.63 (Moderate). It can be concluded the interaction between the question items and the quality of the question items on the test instrument indicates that the instrument effectively assesses constructs and is relevant for measuring the level of cognitive system thinking. Revisions are made to items that are too easy or too difficult, as well as a review of items with similar difficulties. So it can be assessed that this test has the potential to be widely used in measuring cognitive ability, but some improvements are needed to further improve its reliability for other population.
Development of a data-to-text (D2T) system to generate news on streaming data Ahmad Zainal Abidin; Enjang Ali Nurdin; 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.v5i2.70799

Abstract

This research aims to develop a Data-to-Text system with input in the form of streaming data in batch form, to generate news in general. The development of a Data-to-Text system model is carried out by applying Machine Learning to overcome Streaming data, with the Piecewise Linear Approximation technique using the Least Square method. The developed system produces data summary information, current data information, and prediction information. System development is carried out in the R programming language by utilizing several available packages. The experiment was conducted by measuring the Readability level of the news raised, Computation Time, and comparing the results withrelated research. The experimental results show that the information produced is proven to represent the data provided and can be understood by the student level or above, and the computational time is quite good. The system can generate information based on meteorological data, climatological data, and financial data.
Predicting Solar Flares Using Data Products Vector Magnetic SDO/HMI dan Random Ferns Rooseno Rahman Dewanto; Lala Septem Riza; Judhistira Aria Utama
Journal of Computers for Society Vol 4, No 2 (2023): JCS: September 2023
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jcs.v4i2.71184

Abstract

Solar flares (SFs) are the most powerful bursts of energy in the solar system that often have a bad effect on space weather. Until now, the cause of its appearance is not known for sure. Nevertheless, SFs are known to have magnetic properties attached to them. Therefore, understanding the configuration of the magnetic field on the sun plays an important role in SFs prediction efforts. Using SFs flux data recorded by X-ray Sensors on the Geostationary Operational Environmental Satellite (GOES) which is mapped with 13 parameters of the magnetic vector data of the solar photosphere layer recorded by the Helioseismic and Magnetic Imager (HMI) at the Solar Dynamic Observatory (SDO) and the Machine Learning (ML) Random Ferns (RFe) algorithm,  This study tries to predict the emergence of multiclass SFs (B, C, M, and X) along with binary SFs (BC and MX). This study uses data from May 1, 2010 to May 10, 2020, with a total of 30 classes X, 443 classes M, 1032 classes C, 751 classes B, 473 classes MX, and 1783 classes BC. This study also applies the oversampling method to handle the imbalanced nature of the data on SFs data. Overall, it can be seen that predicting the occurrence of SFs using RFe is a valid effort. The highest average scores achieved by this study for sensitivity/recall, precision, and True Skill Statistics (TSS) in multiclass SFs were 74.4%, 50.3%, and 58.7%, respectively; and in binary SFs are 87.7%, 77.7%, and 72.8%.
Implementation of Internet of Things Using Electrocardiogram Sensors to Identify Atrial Fibrillation Heart Disease Muhammad Ramdan Pamungkas; Wawan Setiawan; Lala Septem Riza
Journal of Computers for Society Vol 4, No 1 (2023): JCS: June 2023
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jcs.v4i1.71177

Abstract

Atrial Fibrillation (AF) is one of the most common heart diseases and increases the risk of stroke and heart failure up to five times. The symptoms of AF are very diverse and often asymptomatic, so an immediate examination is needed to detect it. Given the dangers of AF that could lead to heart failure or death, a diagnosis that can record daily heart rhythms is urgently needed. Research trends show increased use of the Internet of Things (IoT) due to its efficiency and real-time monitoring capabilities. The purpose of this study is to utilize the IoT concept by designing a prototype AF detection device called Atrial Fibrillation Detector (AFD) using a ESP8266 microcontroller device and an AD8266 Electrocardiogram (ECG) sensor. The results of the study show that AFD can identify AF through 4 main stages, including the process of recording ECG data, the process of sending data from the AFD device to the server, the process of processing data to identify the appearance of AF and the process of sending notifications if there is an indication of the appearance of AF. To further test AFD, two experimental scenarios were applied; blackbox testing and comparison of the suitability of AF detection results. In the first experiment, AFD managed to pass the total number of scenarios that existed at 16 scenarios. In the second experiment, AFD only managed to identify exactly 9 out of 15 scenarios.
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