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Systematic Literatur Review (SLR) : Pemanfaatan Software Photomath Dalam Pembelajaran Matematika Tasya Aulia Faisal; Yahfizham Yahfizham
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 2 (2024): Juni : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i2.3142

Abstract

This research aims to analyze meta data related to the use of Photomath application as a computational implementation in the form of mathematical software, namely by looking at the research objectives that relate mathematical solutions using the application. This research used the Systematic Literature Review (SLR) method. This systematic review identified 7 studies through the Google Scholar database published in 2020-2024. Data collection was carried out by collecting all articles related to the use of photomath in solving mathematical problems with selection criteria and using the PRISMA protocol as a research instrument guideline. The results showed that math software, namely photomath, can make it easier for students, especially those who are not proficient in learning math, this software can help solve math problems practically by taking pictures, this application can also be used as a virtual learning media, teaching materials related to many materials such as decimals, fractions, arithmetic, simple linear equations, algebra to simple calculus.
Pemanfaatan Media Pembelajaran Matematika Berbantuan Aplikasi Microsoft Mathematics : (Systematic Literature Review) Khairunnisa Tanjung; Yahfizham Yahfizham
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 2 (2024): Juni : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i2.3155

Abstract

This research aims to explore the use of the Microsoft Mathematics application in mathematics learning. Using the Systematic Literature Review (SLR) method, this research summarizes the findings of four related articles. The research results show that the use of Microsoft Mathematics in mathematics learning can facilitate student understanding, simplify complex concepts, encourage independent learning, improve critical thinking skills, and assist in problem solving. The implication of this research is that the use of Microsoft Mathematics in mathematics education can provide significant benefits for student learning outcomes
Studi Literatur: Penerapan Geogebra Terhadap Kemampuan Komunikasi Matematis Siswa Fanny Selfinta Perangin-angin; Yahfizham Yahfizham
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 3 (2024): September : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i3.3836

Abstract

This study aims to explore the application of GeoGebra software in improving students' mathematical communication skills. GeoGebra, as a visualization and interactive tool, is considered to be able to help students understand mathematical concepts more deeply and effectively. This literature study collects and analyzes various studies that have been conducted on the use of GeoGebra at various levels of education, from elementary school to college. The results of the study show that the use of GeoGebra can improve students' mathematical communication skills, both in written and oral form. Students who use GeoGebra tend to have an easier time describing and explaining mathematical concepts, as well as being more actively involved in discussions and problem-solving. In addition, GeoGebra also helps to increase students' motivation to learn and provide a more enjoyable and meaningful learning experience. The conclusion of this study shows that GeoGebra is an effective tool to be used in mathematics learning to improve students' mathematical communication skills.
Mini Tinjauan Literatur Pemanfaatan Software Tibi’s Mathematics Suite untuk Berpikir Komputasi Siswa Nazira Ananda; Yahfizham Yahfizham
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 3 No. 2 (2025): Jurnal Matematika dan Ilmu Pengelatuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v3i2.4940

Abstract

The development of information and communication technology (ICT) has opened up great opportunities in increasing the effectiveness of mathematics learning, especially in supporting students' computational thinking skills. This article presents a mini-literature review related to the use of Tibi's Mathematics Suite (TMS) as interactive software in mathematics learning. Using a descriptive qualitative approach and desk research method, this study analyzes various scientific sources to evaluate the contribution of TMS to the development of computational thinking, which includes decomposition, pattern recognition, abstraction, and algorithms. The results of the study show that TMS is able to increase students' interest in learning, independence, and metacognitive awareness, although its implementation still faces challenges such as limited infrastructure and teacher training. This review recommends the need for further empirical studies and education policy support so that the integration of TMS can be more optimal in the context of the Independent Curriculum and the strengthening of the Pancasila Student Profile.
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.
Co-Authors Adawiyah Ritonga Ahmad Al-hafiz Sagala Ahmed Charelsyah Lbs Alfito Fatihah Alivia Ivo Amirah Ghania Nasution Alya Rahmadani Harahap Annisa Ul Khoiriah Pasaribu Armina Rangkuti Aryadino Anggara Aulia Alsaf Salsabilla Aulia Herdiyanti Avita Salsabila Azra Sabrina Bulan Naysabilla Cici Wulandari Sitorus Cindy Kawilda Hasibuan Cyntia Suarni Arifin Dea Putri Ananda Mahela Desmi Fitri Syahdani Br Sitepu Ega Trianingsih Aksana Ekki Wahyuni Lubis Ella Andhany Elsa Nandita Erlianda Cibro Fahri Rahmadsyah Fanny Selfinta Perangin-angin Fara Syifa Nabila Siregar Farah Ananda Lubis Farizi Aqfi Fatimah Zahra Fauziah Mawaddah Harefa Fitriani Fitriani Friyadi Hamonangan Ghasani Fathonia Halimatussya’diyah Purba Hani Rarti Syahara Harahap Hanif Abrar Hikmah Maulida Sari Nst Icha Amelia Inna Muthmainnah Dalimunthe Intan Vilja Aura Fazia Irda Auliya Hadi Lubis Irmayati Khairiah Jamiah Nurhakiki Khairunnisa Tanjung Lili Saputri Lilis Suryani Nasution Luthviah Aprilliza Utami M Farhan Alyuda Marshanda Suraya Maulia Fadila May Sharah Athifah Mayang Nabila Melinda Azizah Miftah Khairiyah SM Milda Zohra Mirna Annifah Hsb Muhammad Daffa Fahreza Muhammad Farhan Muhammad Murdani Muhammad Raihan Ath Thotiq Mustika Nurbayeni Nabila Rizki Aprilia Naufal Ramadhan Nazira Ananda Nazwa Salsabila Putri Nessa ovia qulsum nicholas faisal simanjuntak Nur Aisyah Nur Elisah Nasution Nuragustin Nuragustin Nurhalimah Nurhalimah Nursania Simbolon Nurul Fatma Dewi Mardianto Nurwijayanti Pinkan Indriani Daulay Putri Khofifah Rambe Qori Aulia Hafni Nasution Qurrata Ayun Sinaga Rafli Aditya Ramadhan S Ridho Ardiansyah Dalimunthe Rindi Fatmawati Riyanti Siregar Rizky Fatih Syahputra Roslina Sahara Sabrina Aisha Putri Lubis Sahnas wulandari Siregar Sahrul Romadona Saputri Saputri Sarah Rizki Pebriani Sarmila Fitri Yanti Nasution Sazatul Asmal Selviana Anggreani Sherly Putri Revika Shilva Syahbina Siahaan, Nafi Beckhamsyah Sintia Situmorang Siti Aqilah Sabita Siti Izzati Sarah Siti Maysarah Siti Nurhaliza Lubis Siti Nurmala Sirait Siti Zia Hadatul Hasanah Sri Damayani Sri Rezeki Suci Dahlya Narpila Suci Miranti Hakiki Syabilla Putri Affani Syasya Aisyah Syifa Husna Ramadhani Syofiah Sinaga Tasya Aulia Faisal Taufik Qurrahman Titin Anisa Tanjung Tuti Harmidah Siregar Vania Retna Syahrani Vina Alliana Winda Winata S. Pane Wulan dari Yolanda Sianturi  Zulayli Syahrani