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All Journal Jurnal Pendidikan Teknologi dan Kejuruan Techno.Com: Jurnal Teknologi Informasi Jurnal Mudarrisuna: Media Kajian Pendidikan Agama Islam JUITA : Jurnal Informatika HISTOGRAM: Jurnal Pendidikan Matematika Tarbawi: Jurnal Keilmuan Manajemen Pendidikan Jurnal Cendekia : Jurnal Pendidikan Matematika JOURNAL OF SCIENCE AND SOCIAL RESEARCH Syntax: Journal of Software Engineering, Computer Science and Information Technology Djtechno: Jurnal Teknologi Informasi Munaddhomah: Jurnal Manajemen Pendidikan Islam Bulletin of Science Education INTERNATIONAL JOURNAL OF CULTURAL AND SOCIAL SCIENCE Relevan Journal of General Education and Humanities Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Nusantara Journal of Multidisciplinary Science Analysis Jurnal Edukatif Pendekar: Jurnal Pendidikan Berkarakter Jurnal Pengabdian Masyarakat Indonesia (JPMI) Jurnal Sistem Informasi dan Teknologi Informasi Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Fatih: Journal of Contemporary Research Young Journal of Social Sciences and Humanities Media Pendidikan Matematika Jurnal Ilmiah Literasi Indonesia Jurnal Teknik Informatika dan Teknologi Informasi Jurnal Ilmu Pendidikan (JIP)
Yahfizham Yahfizham
Universitas Islam Negeri Sumatera Utara
Religion Arts Humanities 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 Mathematics Social Sciences Other

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Studi Kepustakaan: Pengenalan 4 Algoritma Pada Pembelajaran Deep Learning Beserta Implikasinya Jamiah Nurhakiki; Yahfizham Yahfizham
Pendekar : Jurnal Pendidikan Berkarakter Vol. 2 No. 1 (2024): Februari : Jurnal Pendidikan Berkarakter
Publisher : LPPM Politeknik Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pendekar.v2i1.598

Abstract

In the past few years, deep learning has been very popular among IT users. Deep learning is one of the machine learning parts of artificial intelligence (AI). Deep learning has several algorithms in it. So in this paper, we will explain basically about four algorithms owned by deep learning, namely: CNN, RNN, LSTM and SOM along with an explanation of the application of the algorithm. With the explanation, it is hoped that some IT users can understand deep learning algorithms and their implications for work or applications.
Pengantar dan Pengenalan Konsep Dasar Algoritma Pemrograman Selviana Anggreani; Yahfizham Yahfizham
Pendekar : Jurnal Pendidikan Berkarakter Vol. 2 No. 1 (2024): Februari : Jurnal Pendidikan Berkarakter
Publisher : LPPM Politeknik Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pendekar.v2i1.599

Abstract

An introduction to algorithms starts from the basic concepts of algorithms. An algorithm is a series of organized steps to solve a problem, taking into account systematic sequence and logical goals. Meanwhile, a programming algorithm is a combination of instructions that a computer must carry out when solving a problem. Mastering good programming algorithms is absolutely necessary for those who want to master computer science or mathematics. For this reason, this article aims to help understand algorithms through basic concepts through literature methods from various existing sources so that we can also discuss their history, characteristics and properties, algorithm structure, notation including naturalness, pseudocode, and flowcharts.
Algoritma Pemograman : Kunci Efisiensi Dalam Pengelolaan Data Besar Marshanda Suraya; Yahfizham Yahfizham
Pendekar : Jurnal Pendidikan Berkarakter Vol. 2 No. 1 (2024): Februari : Jurnal Pendidikan Berkarakter
Publisher : LPPM Politeknik Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pendekar.v2i1.601

Abstract

This research aims to explain the key role of programming algorithms in improving the efficiency of big data processing. This abstract will discuss the methods used in the research, the results obtained, and the implications of the findings. This research uses an analytical and experimental approach to study various types of programming algorithms used in big data processing. Data collection methods involve literature review and experiments with representative datasets. The results show that selecting the right programming algorithm can significantly improve the efficiency of big data processing. Efficient sorting algorithms, such as merge sort and quick sort, can sort data with a time complexity of O(n log n). In addition, machine learning algorithms have also proven effective in analyzing and making decisions based on big data. The implications of these findings are that the use of the right programming algorithms can optimize big data processing in various fields, such as business, education, and research. By implementing efficient programming algorithms, organizations can save time, resources, and improve decision-making quality.
Systematic Literature Review: Analisis Pemecahan Masalah Matematika Mahasiswa dan Siswa dengan Berpikir Komputasional Syifa Husna Ramadhani; Yahfizham Yahfizham
Pendekar : Jurnal Pendidikan Berkarakter Vol. 2 No. 3 (2024): Juni : Jurnal Pendidikan Berkarakter
Publisher : LPPM Politeknik Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pendekar.v2i3.730

Abstract

Usually thinking is often associated with mathematics. In the 21st century, technological developments are increasingly rapid so that computational thinking is very important for students and students. Computational thinking is thinking that involves understanding problems, reasoning, and also developing solutions automatically. Based on these computational thinking skills, it will help students and students solve problems mathematics by simplifying complex problems into simpler aspects and can also make it easier for students and students to understand and solve problems in mathematics problems that have been given previously. The aim of the research was to analyze the mathematical problem solving abilities of both students and students with computational thinking using the Literature Review Study method which focuses on solving students' and students' mathematical problems with computational thinking.
Studi Literatur Review: Kemampuan Berpikir Komputasi Matematis Siswa Pada Materi Pola Bilangan Sazatul Asmal; Yahfizham Yahfizham
Pendekar : Jurnal Pendidikan Berkarakter Vol. 2 No. 3 (2024): Juni : Jurnal Pendidikan Berkarakter
Publisher : LPPM Politeknik Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pendekar.v2i3.731

Abstract

Computational thinking is something that students must have. At this time, quite a few students have difficulty when they are given problems with high level thinking skills. For this reason, this research focuses on analyzing students' mathematical computational thinking on number pattern material. This research takes the type of literature study research by identifying and evaluating the results of previous research. In this research, 3 previous journals were identified. From the results of this research, it was found that students' mathematical computational thinking abilities were still relatively low. For this reason, in the future we should think about this computing being more applied.
Systematic Literature Review: Analisis Kemampuan Berpikir Komputasional Siswa Sekolah Dasar Menggunakan Scratch Siti Zia Hadatul Hasanah; Yahfizham Yahfizham
Pendekar : Jurnal Pendidikan Berkarakter Vol. 2 No. 3 (2024): Juni : Jurnal Pendidikan Berkarakter
Publisher : LPPM Politeknik Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pendekar.v2i3.732

Abstract

The increasing need for the use of technology in all sectors, especially in the education sector, is the formation of student-oriented learning. This provides new challenges in the 21st century which now require students to mature not only in science and simple thought processes but also the ability to create and develop what is needed in the 21st century. The Ministry of Education, Culture, Research and Technology declares that participants Students must have Computational Skills (CT). To obtain problem-solving skills, students should emphasize computational learning in elementary schools so that students are able to face existing challenges and have computational skills from an early age. One technology that is suitable for application in elementary school learning is Scratch, a programming application designed specifically for beginners, especially children. The author's aim in conducting this research was to analyze the computational abilities of elementary school students using Scarch. The method the author uses is the Review Literature Study method, by reviewing previous journals related to the topic the author discusses.
Studi Literatur: Analisis Berpikir Komputasi Siswa dalam Pembelajaran Matematika Wulan Dari; Yahfizham Yahfizham
Pendekar : Jurnal Pendidikan Berkarakter Vol. 2 No. 3 (2024): Juni : Jurnal Pendidikan Berkarakter
Publisher : LPPM Politeknik Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pendekar.v2i3.735

Abstract

Computational thinking is a way of thinking that students must have. Currently, many students do not yet know how computing can be applied in mathematics learning. For this reason, this research focuses on analyzing students' computational thinking in mathematics learning. This research takes the type of literature study research by identifying and evaluating the results of previous research. Data analysis was carried out using an interactive model which uses 4 steps in the analysis stages, namely: 1) Data collection, 2) Data condensation, 3) Data presentation and 4) Data verification. This research identified 3 previous articles. From the results of this research, it was found that computational thinking in mathematics learning means that students can relate mathematical concepts to the real world, motivate learning and can link mathematics with everyday life.
Systematic Literature Review: Analisis Kemampuan Berpikir Komputasi Siswa Menggunakan Software Matematika Geogebra Cici Wulandari Sitorus; Yahfizham Yahfizham
Pendekar : Jurnal Pendidikan Berkarakter Vol. 2 No. 3 (2024): Juni : Jurnal Pendidikan Berkarakter
Publisher : LPPM Politeknik Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pendekar.v2i3.736

Abstract

Thinking is a way of thinking that involves discussing problems and solutions so that these solutions can be represented in a form that can be completed by someone in processing information. HOTS (High Order Thinking Skill) is closely related to computational thinking skills. This research aims to analyze students’ computational thinking abilities using Geogebra mathematics software. This research is a systematic literature review, in this research the author analyzes and compares several articles obtained from the internet or digital databases, for example Semantic Scholar or Springer Link. The articles that have been found are then selected according to the title researched, so that we get several reference articles. The research results show that the use of Geogebra mathematics software in learning has a great influence on students’ computational thinking abilities. Geogebra is a media with a visual, analytical and numerical approach that can be solved using algorithms that require computational thinking skills to operate. There are five aspects of thinking skills that are in line with mathematics learning based on students’ reasoning abilities, problem solving abilities, critical thinking abilities, and mathematical representation abilities. These five aspects are: (1) Decomposition (decomposing complex problems into simple ones), (2) Pattern recognition (creating and identifying problem patterns), (3) Abstraction (finding concepts that you want to apply to problems), (4) Algorithms (developing solution or algorithm), and (5) Evaluation (analyzing each error).
Penerapan Geogebra terhadap Kemampuan Pemecahan Masalah Matematis Siswa dalam Pembelajaran Matematika Alfito Fatihah; Yahfizham Yahfizham
Pendekar : Jurnal Pendidikan Berkarakter Vol. 2 No. 3 (2024): Juni : Jurnal Pendidikan Berkarakter
Publisher : LPPM Politeknik Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pendekar.v2i3.737

Abstract

Currently, many learning media are used to develop and improve students' mathematical abilities, especially students' problem-solving abilities. One of the learning media that can be used in this case is the Geogebra application. The purpose of this study is to provide a description of the application of geogebra to students' mathematical problem solving abilities in mathematics learning. This study adopted from the Systematic Literature Review Method and selected 15 articles from google scolar data that are relevant to the research focus. The results of the study concluded that the application of geogebra had a positive, effective, and superior impact in improving students' mathematical problem solving abilities in the learning process.
Studi literatur: Penggunaan Software Matematika Scratch terhadap Kemampuan Berpikir Komputasi Siswa tingkat Sekolah Dasar Fitriani Fitriani; Yahfizham Yahfizham
Pendekar : Jurnal Pendidikan Berkarakter Vol. 2 No. 3 (2024): Juni : Jurnal Pendidikan Berkarakter
Publisher : LPPM Politeknik Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pendekar.v2i3.741

Abstract

The aim of this study was to systematically find out the use of scratch arithmetic software against the computational thinking ability of elementary school students using literature study methods. Computational thinking is an important skill that students should develop from an early age to prepare them for the challenges of the 21st century. The method used in this study is a literature sales system to collect, analyze, and synthesize research findings on the use of scratch to improve computing thinking skills in elementary school students. Data sources come from Indonesian and English-language academic journals. Through exciting and fun visual programming activities, Scratch helps students improve their problem-solving skills, creativity, and collaborative skills. Scratch can also boost students’ interest in mathematics and computer science.
Co-Authors Abdullah Fikri Sholehuddin SN Adawiyah Ritonga Adelia Sakinah Rahmah Alfito Fatihah Amira Anindya Putri Amiruddin Siahaan Aninda Muliani Anisah Putri Br Munthe Anita Dwi Rahayu Annisa Aulia Dahlan Dalimunthe Aqilla Sintiya Asnil Aidah Ritonga Asrul Syabana Ayla Septi Ardini Azzuhro Azzuhro Carles Harahap Cici Wulandari Sitorus Dhevy Kartika Ayu Angkat Diah Ayu Dina Selvia dio aryadinata Diva Aulia Fachruddin Azmi Fadya Hamdi Faisal Fahmi Aditya Abdi Fairuz Azzaria Siregar Fitriani Fitriani Hafeasi Pitra Rosmena Imam Adlin Sinaga Indah Aini Wirdia Inom Nasution Intan Sari Daulay Jamiah Nurhakiki Kartika Dewi Pane Kasman Rukun Krismadinata Krismadinata Leoni Wilyam Lola Kamal Siregar Lulu Nuha Khalisah M Ihsan M. Abyan Zhafran Wijaya Marshanda Suraya Mayang Vita Sara Mhd. Akbar Bathnul Wadi Nst Muhamamd Rizki Syahputra Muhammad Abdillah Syam Muhammad Fadhli Muhammad Fadhli Muhammad Yunus Mukhlida Khofipah Hasibuan Nadia Hidayati Nasution, Muhammad Irwan Padli Nisaiy Darussakinah Harahap Nizwardi Jalinus Nurul Ain Asnawati Patimah Hasibuan Putri Nabila Lubis Putri Rahmadani Putri Wardani Rahmah Fadilah Tanjung Raihan Alya Shafira Reni Purnama Sari Rizka Tri Andini Rudi Hasibuan Rusi Ulfa Hasanah Rusydi Ananda Sakinah Siregar Sazatul Asmal Selviana Anggreani Silvia Ramadani Siregar Siti Nurhaliza Lubis Siti Zia Hadatul Hasanah Sri Hari Yanti Sri Rezeki Syafrida Laylani Harahap Syifa Husna Ramadhani Tia Ananda Solin Tulus Abdul Wahid Hrp Wulan Dari Yolanda Olivia Fadillah Dwiyanti Yusti, Irwan Zaini Syarifudin Zamaiyah Zellyka Siti Rahmadani