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International Journal of Basic and Applied Science
Published by Institute of Computer Science
ISSN : 23018038     EISSN : 27763013     DOI : https://doi.org/10.35335/ijobas
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Physics
International Journal of Basic and Applied Science provides an advanced forum on all aspects of applied natural sciences. It publishes reviews, research papers, and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files and software regarding the full details of the calculation or experimental procedure, if unable to be published in a normal way, can be deposited as supplementary electronic material.
Arjuna Subject : Umum - Umum
Articles 6 Documents
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Search results for , issue "Vol. 11 No. 1 (2022): June: Basic and Applied Science" : 6 Documents clear
Implementation of Physics Learning by Using the Guided Inquiry Method on the subject matter of Ohm's Law and Series-parallel Circuits, Effectiveness in terms of Learning Outcomes, Involvement and Constraints Maria Goretti Molla
International Journal of Basic and Applied Science Vol. 11 No. 1 (2022): June: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

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Abstract

This study aims to determine: (1) the effectiveness of the learning of physics using guided inquiry methods in terms of improving student learning outcomes, (2) Does the implementation of learning physics using guided inquiry on the subject of ohms law, series and parallel circuits can be involve students, (3) what obstacles or difficulties experienced by students in the implementation of learning physics using guided inquiry on the subject of ohms law, series and parallel circuits and how it can help students to overcome obstacles or difficulties faced by students in learning. The research was carried on in high school Karanu Waikabubak Sumba Barat-NTT on 29 April 2011 until 11 May 2011. Object of research are 15 students in select classes Xd researchers based on the results of a pretest that was done of students as treament or treatment that is given researcher. Data collection include: pretest, postest, learning activities with guided inquiry method using worksheets, student involvement Sheet observations, and interviews. The results showed that the learning of physics using guided inquiry on the subject of ohms law, series and parallel circuits: (1) The effectiveness of learning physics using guided inquiry methods in terms of student learning outcomes by using a test analysis of dependent T-test level α = 0.05 (2) lack of involving students in all learning activities using the methods of guided inquiry, (3) know the obstacles or difficulties the student and knowing how to cope with natural constraints on students.
Design of A Tool to Counter Objects with A Pear Sensor as A Fan and Light Controller Based on An Rtc Based on An ATmega 8535 Microcontroller Faisal Ari Fitra
International Journal of Basic and Applied Science Vol. 11 No. 1 (2022): June: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

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Abstract

The need for a sense of comfort is one that is very important in human life. Likewise with comfort in a room, especially in the comfort of the office, especially in the boardroom, on campus. The purpose of the design and manufacture of the PIR sensor is as a controller and counter the man when it went into a room, the fan in the living room with a temperature above normal. Hopefully, by the automation system controls the fan and lights in the room temperature can be maintained to keep the temperature stable, and live according to the light intensity of the light that has been programmed.
Oxidation of 1,2,3 –Propanatriol with Molecular Oxygen Using Pd/Γ-Al2o3 Catalyst in Water Solvent Henny Theresia V
International Journal of Basic and Applied Science Vol. 11 No. 1 (2022): June: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

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Abstract

1,2,3-Propanetriol has been oxidized with molecular oxygen and catalysed by heterogeneous catalyst Pd/γ-Al2O3 in water solvent to produce glyceric acid ( 32,62%w ). Glyceric acid was formed then reacted with sodium hydroxide in methanol to produce sodium glycerate ( 27% ). Product of reaction were characterized by FT-IR and 1H-NMR spectroscopy.
Determination of the Best Accuracy Model for Predicting Average Years of Schooling using the Fletcher Reeves Algorithm Ihsan Daulay; Mochamad Wahyudi; Solikhun; Lise Pujiastuti
International Journal of Basic and Applied Science Vol. 11 No. 1 (2022): June: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v11i1.78

Abstract

The average length of schooling is an important and significant factor in looking at the quality of an individual human being, with increasing the quality of human resources it can increase access to decent work which also promises a stable economic income, and to some extent affects the economy in a country. Therefore, a prediction was made. This prediction method uses the Fletcher Reeves algorithm which is an artificial neural network algorithm method for data prediction. However, this paper does not discuss the results of the prediction, but discusses the ability of the Fletcher Reeves neural network algorithm to predict data. The research dataset used in this study is data on the average length of schooling in North Sumatra Province from 2015-2020, this dataset was taken from BPS North Sumatra. The data is then formed into 5 models, namely 2-10-1, 2-15-1, 2-20-1, 2-25-1, 2-30-1. -30-1 with an MSE value of 0.000430727. With these results the 2-30-1 architectural model gets the lowest score, so it can be concluded that the model can be used to predict the average length of schooling in North Sumatra Province.
Performance Analysis Of Support Vector Machine In Identifying Comments And Ratings On E-Commerce Mutiara S. Simanjuntak; Nurafni Damanik; Allwine
International Journal of Basic and Applied Science Vol. 11 No. 1 (2022): June: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v11i1.79

Abstract

Consumers who have shopped at E-Commerce will provide reviews/comments on products that have been purchased. Customer confidence in the rating is hampered due to inconsistency of answers such as reviews that have negative text with a positive rating value. For this reason, a technique is needed to adjust the rating with comments or reviews of purchased goods to make it easier for consumers when shopping to see the rating directly without reading the reviews/comments of previous buyers. purpose of this study is to classify comments and ratings and then obtain the results of the accuracy of the classification system so that the above problems can be answered.This study uses Support Vector Machine classification technique because this algorithm is better in classification’s terms. Data used are 1044 comment data and 1044 rating. Data are grouped into Good, Neutral, Less good categories using Python by Google Colab and divided into training and test data. To test capability of system, data that has been classified then analyzed using Confusion matrix. Results showed that SVM Algorithm was able to classify with an accuracy rate of 71.14%, 88% precision, and 79% recall.SVM algorithm is able to formulate training data with an accuracy of 91.3%.
Analysis of Student Learning Interest by Using Google Classroom on Online Learning for Engineering Physics Courses Inung Diah Kurniawati
International Journal of Basic and Applied Science Vol. 11 No. 1 (2022): June: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v11i1.102

Abstract

Online learning has been implemented since the COVID-19 pandemic hit the world. Google Classroom is one of the media that can be used for online learning. By utilizing Google Classroom, it is expected to increase student learning interest. The purpose of this study was to analyze student interest in learning by utilizing google classroom in Engineering Physics course. This type of research is descriptive quantitative research. The subjects of this research are students of Electrical Engineering, PGRI Madiun University who are taking Engineering Physics courses. Research data obtained by distributing questionnaires to respondents. The questionnaire contains indicators of learning interest which consists of 4 indicators. The data obtained were then analyzed using a descriptive percentage analysis technique, which was then interpreted by category to then get a good conclusion. The results showed that the interest in learning of Electrical Engineering students in online lectures using Google Classroom was in a good position with a percentage value of 65.74%.

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