Article Per Year (5 Year)
p-Index From 2020 - 2025
4.084
P-Index
This Author published in this journals
All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Neutrino : jurnal fisika dan aplikasinya Jurnal IPTEK Jurnal Pendidikan Fisika Journal of Mechanical Engineering Science and Technology Jurnal Penelitian Pendidikan IPA (JPPIPA) Spektra: Jurnal Fisika dan Aplikasinya JRST (Jurnal Riset Sains dan Teknologi) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Jurnal Ilmu Fisika Jurnal Pendidikan Fisika dan Teknologi Eksakta : Berkala Ilmiah Bidang MIPA Kappa Journal Indonesian Review of Physics (IRiP) Journal of Information Technology Ampera Indonesian Science Education Research (ISER) EINSTEIN (E-JOURNAL) Wahana Fisika : Jurnal Fisika dan Terapannya
Budiman Nasution
Department Of Physics, Faculty Of Mathematics And Natural Science (FMIPA), Universitas Negeri Medan, Medan, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

Published : 31 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : Jurnal Penelitian Pendidikan IPA (JPPIPA)

 1 
Basic Mechanics of Lagrange and Hamilton as Reference for STEM Students Budiman Nasution; Lulut Alfaris; Ruben Cornelius Siagian
Jurnal Penelitian Pendidikan IPA Vol 9 No 2 (2023): February
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i2.2920

Abstract

This paper discusses the use of Lagrangian and Hamiltonian dynamics as alternative approaches for understanding the motion of objects in classical mechanics. These approaches, which are based on different mathematical techniques, can provide a deeper understanding of the principles of classical mechanics and the motion of objects, but may not be covered in high school physics curricula or undergraduate STEM courses. The review paper approach is used to combine information from a variety of sources, and the material is conceptualized to aid reader understanding. These advanced topics may be of interest to advanced high school students who are interested in exploring topics beyond the high school physics curriculum, and can be studied independently by those with a strong foundation in classical mechanics and familiarity with advanced mathematical concepts.
Relationship Between BE4DBE2 and Variables n and z: A Comprehensive Analysis Using Linear Regression, Nonparametric Regression, Naive Bayes Classification, Decision Tree Analysis, SVM Analysis, K-Means Clustering, and Bayesian Regression Budiman Nasution; Winsyahputra Ritonga; Ruben Cornelius Siagian; Paulus Dolfie Pandara; Lulut Alfaris; Aldi Cahya Muhammad; Arip Nurahman
Jurnal Penelitian Pendidikan IPA Vol. 9 No. 11 (2023): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i11.4483

Abstract

This research employed various statistical techniques, including linear regression, nonparametric regression, Naive Bayes classification, decision tree analysis, Support Vector Machine (SVM) analysis, k-means clustering, and Bayesian regression, to analyze nuclear data. The research aims to explore the relationships between variables, predict binding energy, classify nuclear data, and identify similar groups. The research results revealed that linear regression indicated a significant influence of the intercept and predictor variable 'n' on the variable 'BE4DBE2,' while the variable 'z' was not significant. However, the overall model had limited explanatory power. Nonparametric regression with smoothing functions effectively modeled the relationship between 'BE4DBE2' and variables 'n' and 'z,' explaining approximately 11% of the variability in the response variable. Classification using Naive Bayes successfully categorized nuclear data based on 'n' and 'z,' revealing their relationship. Decision tree analysis evaluated the performance of this classification model and provided insights into accuracy, agreement, sensitivity, specificity, precision, and negative predictive value. SVM analysis successfully built an accurate SVM model with a linear kernel, classifying nuclear data while depicting decision boundaries and support vectors. K-means clustering grouped nuclear data based on 'n' and 'z,' revealing distinct characteristics and enabling the identification of similar clusters. The Bayesian regression model predicted binding energy using 'n' and 'z' as independent variables, capturing the Gaussian distribution of 'BE4DBE2' and providing statistical measures for parameter estimation. Ccomprehensives nuclear data analysis using various statistical approaches provides valuable insights into relationships, predictions, classification, and clustering, contributing to the advancement of nuclear science and facilitating further research in this field.
Relationship Between BE4DBE2 and Variables n and z: A Comprehensive Analysis Using Linear Regression, Nonparametric Regression, Naive Bayes Classification, Decision Tree Analysis, SVM Analysis, K-Means Clustering, and Bayesian Regression Budiman Nasution; Winsyahputra Ritonga; Ruben Cornelius Siagian; Paulus Dolfie Pandara; Lulut Alfaris; Aldi Cahya Muhammad; Arip Nurahman
Jurnal Penelitian Pendidikan IPA Vol 9 No 11 (2023): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i11.4483

Abstract

This research employed various statistical techniques, including linear regression, nonparametric regression, Naive Bayes classification, decision tree analysis, Support Vector Machine (SVM) analysis, k-means clustering, and Bayesian regression, to analyze nuclear data. The research aims to explore the relationships between variables, predict binding energy, classify nuclear data, and identify similar groups. The research results revealed that linear regression indicated a significant influence of the intercept and predictor variable 'n' on the variable 'BE4DBE2,' while the variable 'z' was not significant. However, the overall model had limited explanatory power. Nonparametric regression with smoothing functions effectively modeled the relationship between 'BE4DBE2' and variables 'n' and 'z,' explaining approximately 11% of the variability in the response variable. Classification using Naive Bayes successfully categorized nuclear data based on 'n' and 'z,' revealing their relationship. Decision tree analysis evaluated the performance of this classification model and provided insights into accuracy, agreement, sensitivity, specificity, precision, and negative predictive value. SVM analysis successfully built an accurate SVM model with a linear kernel, classifying nuclear data while depicting decision boundaries and support vectors. K-means clustering grouped nuclear data based on 'n' and 'z,' revealing distinct characteristics and enabling the identification of similar clusters. The Bayesian regression model predicted binding energy using 'n' and 'z' as independent variables, capturing the Gaussian distribution of 'BE4DBE2' and providing statistical measures for parameter estimation. Ccomprehensives nuclear data analysis using various statistical approaches provides valuable insights into relationships, predictions, classification, and clustering, contributing to the advancement of nuclear science and facilitating further research in this field.
Pemahaman Guru IPA Terhadap Pengajaran Responsif Budaya pada Kurikulum Merdeka Belajar Abubakar; Tanjung, Yul Ifda; Sani, Ridwan Abdullah; Nasution, Budiman; Yohandri; Festiyed
Jurnal Penelitian Pendidikan IPA Vol 10 No 1 (2024): January
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i1.4821

Abstract

This research aims to describe teachers' understanding of Culturally Responsive Teaching (CRT), difficulties to implement it, and its relation to higher order thinking skills through descriptive qualitative method using interview instrument. The research subjects were twenty science teachers from three senior high schools that have implemented Independent Learning Curriculum in Medan City and Deli Serdang Regency in North Sumatera. The results revealed that 70% of teachers have limited understanding and only 30% of the teachers who understand the concept of this learning correctly. The research results also showed that only 20% had ever implemented CRT in their classrooms and 80% had never implemented. This is all due to difficulties. Based on previous research, it shows that CRT make many positive contributions to learning processes and outcomes, improving the learning process and outcomes, improving higher order thinking skills and building student’s character. Therefore, teachers need to understand, be able to design and implement learning model based on CRT to serve diverse students.
Co-Authors Abubakar Aldi Cahya Muhammad Aldi Cahya Muhammad Aldi Cahya Muhammad Aldi Cahya Muhammad Alfia Delmi Siregar Alkhafi Maas Siregar Amelia, Mira Andini, Khairanum Aningsih, Sri Arip Nurahman Arip Nurahman Arip Nurahman Arip Nurahman Arip Nurahman Bara, Agung Setia Batu Dolfie Paulus Pandara Ella Amanda Fahrijal Wahid Siregar Fauziyah Harahap Febriza, Tiara Rizka Festiyed Gea, Mitra Lestari Gendewa Tunas Rancak Ghulab Nabi Ahmad Goldbert Harmuda Duva Sinaga Habibi Azka Nasution Harahap, Veryyon Howard Situmorang Indah Indah Irfandi Irfandi Irham Ramadhani Jeremia SP Sibarani Jubaidah, Jubaidah Khoir, Aji Ibnu Laeiq, Nazish Lubis, Nur Saimah Lulut Alfaris Mesyadi . Mudatsir Kencana Muhammad, Aldi Cahya Nasution, Habibi Azka Nazish Laeiq Nurahman, Arip Nyuswantoro, Ukta Indra Pandara, Dolfie Paulus Pandu Pribadi Rahmatsyah Rahmatsyah, Rahmatsyah Rajo Hasim Lubis Ratih Irma Sari Rezeki Nurkhalizah Ridwan Abdullah Sani Rita Juliani Ruben Cornelius Siagian Ruben Cornelius Siagian Ruben Cornelius Siagian Ruben Cornelius Siagian Sadion Tumpal Damanik Shiti Indriani Shofia Ummi Siagian , Ruben Cornelius Siagian, Ruben Cornelius Sinaga, Mardame Pangihutan Siti Aulia Hutahuruk Situmorang, Howard Sri Mulyana Syahdila, Tiara Ukta Indra Nyuswantoro Ukta Indra Nyuswantoro Wanri Lumbanraja Winsyahputra Ritonga winsyahputra Ritonga Winsyahputra Ritonga Winsyahputra Ritonga Yohandri Yul Ifda Tanjung, Yul Ifda