Jurnal Ilmu Fisika dan Pembelajarannya (JIFP)

Implementation of-E-Modules STEM Based Assisted by LMS to Improve Student Learning Outcomes in theEra Covid-19

Umu Nailil Alaini — 2023-05-31

This study aims to describe the effect of using E-Modul LMS-assisted STEM-based on Business and Energy materials on improving learning outcomes in the cognitive aspects of students in the era Covid-19. This research was conducted at MAN 1 Metro using the research design One Group Pretest-Posttest. The sample of this research is students of class X IPA 2, IPA 3 and IPA 5 MAN 1 Metro. The research data were analyzed using normality test, hypothesis testing using Paired Sample T-Test, and test N-Gain. Based on the results of hypothesis testing using Paired Sample T-Test , it shows the value of Sig.(2-Tailed) is less than 0.05, which is 0.00. So it can be stated that there is an effect of using E-Modul STEM-based assisted by LMS in the form of Google Classroom on student learning outcomes in the cognitive aspect. This can also be seen from the results of the N-Gain pretest-posttest of students, the average value is 0.59 in the medium category. Thus, it can be concluded that the use of E-Modules STEM-based assisted by LMS in the form of Google Classroom is able to improve student learning outcomes in cognitive aspects.

Identification Of Misconceptions Of Eighth Grade Students On Light Materials And Optical Devices

amanah firansilady — 2023-05-31

This study is a descriptive study that aims to analyze the understanding of the concept of students in science subjects on the material of light and optical devices as well as the causes of student misconceptions. This study was conducted on VIII grade students in SMP Negeri 5 Palembang. The subjects of this study were 100 eighth grade students in SMP Negeri 5 Palembang. The instrument used is a set of diagnostic tests consisting of 10 items of questions from physpot which has been translated and tested for validity. Data retrieval method is done by providing a test of understanding the concept of multiple choice questions as many as 10 items equipped with CRI (Certainty if Response Index) with a scale (0-5). In this study it was found that the average score obtained by students from the test is quite low at 50%. In addition, 9.28% had misconceptions, 38.5% did not understand the concept, and 28.5% had understood the concept. Some of the findings identified misconceptions include: (1) only white objects that can reflect light in a dark room, (2) points near the eyes of patients with hypermetropy, (3). light propagates about transparent objects and (4). light reflected from smooth surfaces.

Development of Electronic Student Worksheets Based on The Theory of Conceptual Change in Thermodynamics

Innas Amalia Utami — 2022-12-29

The development of valid and practical electronic student worksheets based on the theory of conceptual change in thermodynamics material has been completed. This development research uses the Rowntree development model which consists of three stages, namely the planning stage, the development stage, and the evaluation stage. At the evaluation stage, the researcher used Tessmer's formative evaluation in the form of self-evaluation, expert review, one-to-one evaluation, and small group evaluation. Data collection instruments used expert validation sheets and questionnaires. The results of data analysis at the expert review stage obtained an average expert validation of 4.4 with a very valid category. The average of the student questionnaire sheets in the one-on-one evaluation and small group evaluation phases was 4.4 and 4.5, respectively, with a very practical category. Thus, an electronic student worksheet based on the theory of conceptual change has been successfully developed on valid and practical thermodynamic material. This electronic student worksheet can be used to clarify conceptual understanding and correct thermodynamics misconceptions.

Keywords: Development of Electronic Student Worksheets, Overcoming Misconceptions, Physics

Analisis Curah Hujan Menggunakan Machine Learning Metode Regresi Linier Berganda Berbasis Python dan Jupyter Notebook

jesi pebralia — 2022-12-29

Indonesia is a country located on the equator. As a result, Indonesia has a dry season and a rainy season. Rainfall prediction is very useful in various fields. The prediction method that is currently developing rapidly is the prediction method using artificial intelligence (AI) techniques. Machine learning is a subset of AI. The application of multiple linear regression algorithms in machine learning can be used to predict a dependent variable with various types of independent variables that affect it. In this study, rainfall prediction has been carried out involving three independent variables, namely wind speed, maximum air temperature, and minimum air temperature with dataset obtained from the kaggle.com site. The dataset used is 6,574 data, where the data is grouped into training data as much as 80% and test data as much as 20%. Multiple linear regression algorithm is written in Python programming language and implemented using jupyter notebook. In this study, a multiple linear regression model was produced with the equation ,, MSE value was 14.02, RMSE was 3.74, and MAE was 2.27.

The Effect of El Niño Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) on Rainfall and Its Correlation with Consecutive Dry Days (CDD) of South Sumatra Province from 1981-2020

Melly Ariska — 2022-12-29

El Niño Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD)` are events where the phenomenon of rising and falling sea surface temperatures becomes unnatural. Stronger events where the sea surface temperature anomaly becomes large, then this disrupts local fish and bird populations. The ENSO and IOD phenomena also affect rainfall in several parts of Indonesia. This study analyzed the effect of ENSO and IOD phenomena on rainfall in South Sumatra Province from 1981 to 2020 and the correlation between Consecutive Dry Days (CDD) and Rainfall in South Sumatra Province for the last 40 years. ENSO data and IOD data were analyzed against rainfall data analyzed using a simple linear regression method and associated with CDD in South Sumatra Province with the correlation method. In addition, a correlation analysis was also carried out between the Niño 3.4 index and the Dipole Mode Index (DMI) with rainfall at two stations, namely the Palembang Climatology Station and the Sultan Mahmud Badaruddin II Meteorological Station to determine how much influence the ENSO and IOD phenomena had on rainfall in the Sumatra Province. South. The results of the analysis show that the effect of ENSO and IOD on rainfall at each station is generally not significant. The state of rainfall in the Province of South Sumatra for the last 40 years is almost not influenced by El Nio and La Nia. This is presumably due to the location of the South Sumatra Region which is in the Munsonal area. Monsoon areas are characterized by a unimodial type of rainfall (one peak of the rainy season) where in June, July and August the dry season occurs, while December, January and February are the wet months. The remaining six months is a transitional or transitional period (three months of transition from dry season to rainy season and three months of transition from rainy season to dry season).

Analisis Miskonsepsi Pada Materi Suhu dan Kalor Menggunakan Metode CRI

fima ratna sari — 2022-12-29

This study aims to analyze the misconceptions that occur in the material of temperature and heat, high school students in class XI IPA1. The research design used survey research with sampling using simple random sampling. The research data were obtained through a multiple-choice test of concept questions with a response index certainty answer sheet (CRI, and open interviews with 3 students. The sample was collected again by 20 students of SMAN 2 OKU. The findings of this study are, the misconceptions contained in each temperature sub-concept and heat. The highest percentage of misconceptions is found in the increase sub-concept by 53.3% with the medium misconception category, and the lowest is in the heat transfer sub-concept by 20% with the low misconception category. It has been found that the causes of misconceptions, among others, students rarely get teaching about the concept, wrong prior knowledge, counting and memorizing, and teachers who teach also facilitate students to think analytically Teachers are expected to be able to change the process of learning activities into a meaningful process for students through varied methods and models, one way is by using student centered conceptual text learning.