cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Hengki Tamando Sihotang
Contact Email
hengkitamando26@gmail.com
Phone
+6281381251442
Journal Mail Official
hengkitamando26@gmail.com
Editorial Address
Romeby Lestari Housing Complex Blok C, No C14 Deliserdang, North Sumatra, Indonesia
Location
Unknown,
Unknown
INDONESIA
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 126 Documents
 5   6   7   8   9 
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)

Show Abstract | Download Original | Original Source | Check in Google Scholar

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%.
The pattern of buddhist teachers strategies management for religious behavior conflicts in Lombok I Ketut Damana
International Journal of Basic and Applied Science Vol. 11 No. 2 (2022): Sep: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v11i1.87

Abstract

The Buddhist teacher's goal of conflict is of course required to use a psychological approach. The less than ideal conditions of the teacher's purposeful behavior in the managed lesson process are not opposite. The importance of the strategy of religious teachers tends to be seen in the character education of the attendees. Descriptive qualitative research method is used on this research. The research instruments were interviews, observations, documentation, and respondents with several related devices. In reality, not all Buddhist teachers deliver material with curriculum. This has an impact on improving the continuity of education, i.e. there are students who are not taught Buddhism. Data analysis is using Iceberg model. The results of the study can be concluded as; the innovation process occurs from the conflict of teacher behavior, the implementation of the innovation pattern of the teacher's strategy, the structure of the advantages and disadvantages of teacher management and the mental model of teacher behavior.
Classification of marine mammals based on nucleotide using machine earning Lukman; Tiara Dinda Hapsari; Abdul Malik; Ester Frescilla Simbolon; Ishak Ariawan; Nadia Yusuf Istiqomah
International Journal of Basic and Applied Science Vol. 11 No. 2 (2022): Sep: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v11i1.90

Abstract

This study analyzing the nucleotide of marine mammals using machine learning techniques. Analysis on a nucleotide scale in marine mammals can help facilitate the identification process if done properly. Three types of marine mammals used for nucleotide analysis were Delphinus capensis, Dugong dugon, and Orcaella brevirostris. The solutions offered by machine learning provide a more elegant and effective solution for species identification at the nucleotide scale. This study analyzed the nucleotide s of marine mammals using various classification techniques. Based on this research, it can be concluded that the identification of marine mammals can be done easily based on nucleotide. Different classifiers have been used for analytical purposes such as Random Forest, Decision Tree, Naïve Bayes, K-Nearest Neighbor, and Multilayer Perceptron. Based on the analysis of the results, it was found that the classification method that had been applied had sufficient performance by being tested on several model performance metrics such as accuracy, precision, recall and f1 score. The study also highlights the best classifiers in the various scenarios and recommendations are given.
Forecasting of jansen's rice inventory control using monte carlo and markov chain techniques Hasni Indah Sari; Sajaratud Dur; Hendra Cipta
International Journal of Basic and Applied Science Vol. 11 No. 2 (2022): Sep: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v11i2.99

Abstract

Rice is an essential commodity in Indonesia because of its role as a staple food, which most Indonesians consume daily as a carbohydrate intake. In its development to meet these needs, many things affect the stability of the availability and price of this rice. They are starting from climatic conditions, logistics systems, and the state of the domestic market and the international rice market. On the other hand, the increase in national rice consumption from year to year will continue to grow along with the rise in population. This research aims to apply the Monte Carlo and Markov Chain method to control Jansen rice supplies at the Jansen Rice Mill, Paluh Wave Street, Percut Sei Tuan District, Deli Serdang Regency, North Sumatra Province. The data used is data on rice demand from 2016 to 2021. Monte Carlo forecasts for the next few years, and Markov Chain provides what percentage of opportunities for rice demand to increase or decrease.
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%.
Flavonoid content analysis of Brebes red 0nion skin waste flour as a low-cholesterol duck fodder mixture Yan El Rizal Unzilatirrizqi; Syahidah Mutmainah; Akh Khotib Kurniawan
International Journal of Basic and Applied Science Vol. 11 No. 2 (2022): Sep: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v11i1.104

Abstract

Brebes is one of the district regency in Central Java province which is famous for the production of red onions and salted eggs. This affects the percentage of onion waste produced and the need for duck fodder which is always increasing in price. The aim of this research is to make flour from raw material of red onion skin as a mixture of duck fodder. The research was done experimentally by testing the flavonoid content in red onion skin, making red onion skin flour, and testing the flavonoid content of red onion skin flour. The results showed that the flavonoid content of red onion skin was 3.54% and the flavonoid content of red onion skin flour was 4.35%. So, it can be concluded that red onion skin flour is suitable for mixed with duck fodder to get low-cholesterol duck.
Susceptibility of Escherichia coli isolates from mares to ozonated sunflower oil Gabriel Souza dos Santos; Arthur Azevedo Perpétuo; Tiago Santos Fonseca; Marcus Vinícius Dias-Souza
International Journal of Basic and Applied Science Vol. 11 No. 3 (2022): December: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v11i3.101

Abstract

Sunflower oil is known for its therapeutic properties and culinary use. It is an important alimentary source of tocopherol and unsaturated fatty acids, and is used especially for wound healing. Studies indicate that it also has antimicrobial potential. The ozonation of oils of vegetable sources has been explored as a way to enhance their therapeutic properties; however, studies that provide evidence of such benefits are still lacking. In the field of veterinary medicine, such data are even more scarce. In this study, the antimicrobial activity of ozonated sunflower oil was compared to that of non-ozonated oil, in an in vitro system. We used clinical isolates of Escherichia coli, obtained from intrauterine lavages of mares with endometritis. Tests were conducted using the minimum inhibitory concentration method. Our data open doors for discussion on the use of sunflower oil, with or without ozone treatment, for therapeutic purposes in veterinary medicine.
Radiation levels of isolation rooms used by radio-iodine ablation patients during hospitalization Muhammad Waqar; Touqir Ahmad Afridi; Quratulain Soomro
International Journal of Basic and Applied Science Vol. 11 No. 4 (2023): March: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v11i4.110

Abstract

The use of RAI-131 in thyroid carcinoma patients presents a special concern on the environmental radiation safety for those who come in contact with the patients especially after discharge from the facility because of excretion of I131 through perspiration, salivation, breathing and urination. Methods & Materials: The present study was conducted at Nuclear Medicine Oncology and Radiotherapy Institute Nawabshah (NORIN) Sindh from 2017 to 2021 with the objective to evaluate contamination hazards by Excretion made by thyroid cancer patients received iodine therapy stayed in isolation room with doses ranging from 80–200 mCi. The areas included corridor, sink, patient bed, and toilet bowl of isolation rooms before admission and after discharge using LAMSE RM-1001 survey meter. The minimum background radiation level measured before patient stay in isolation room was 0.07 μSv/h while the maximum was 0.40 μSv/h and the mean background reading was 0.18 ± 0.072 μSv/h. The maximum dose rate after discharge was observed at toilet bowl with mean of 9.69 ± 1.98 µSv/hr and minimum of 5.0 µSv/hr and maximum value 13.77 µSv/hr. The readings recorded for the sink were: 2.0 μSv/h minimum, 20.0 μSv/h maximum with a mean of 5.55 ± 1.57 μSv/h while those for the patient bed 0.41 μSv/h minimum, 6.92 μSv/h maximum and a mean of 2.83 μSv/h. the least dose rate was found in isolation room corridor (1.53 ± 0.78 μSv/h) with maximum and minimum values 0.28 & 3.20 μSv/h respectively. Radiation is harmful; safety measures must be ensured to minimize radiation exposure to the family members as well as community either during hospitalization or after discharge of RAI-131 patients. The radiation levels from toilet bowls, beds, sinks, and corridor of isolation rooms were well within the acceptable limits and hence, do not pose significant hazard to the public

Page 7 of 13 | Total Record : 126

 5   6   7   8   9 

Filter by Year

2019 2026


Reset
Filter By Issues
All Issue Vol. 14 No. 4 (2026): March: Computer Science Vol. 14 No. 3 (2025): Optimization and Artificial Intelligence Vol. 14 No. 2 (2025): Optimization and Computer Science Vol. 14 No. 1 (2025): Computer Science, Engineering, Basic and Applied mathematics Science Vol. 13 No. 4 (2025): Computer Science, Engineering, Basic and Applied mathematics Science Vol. 13 No. 3 (2024): Dec: Optimization and Artificial Intelligence Vol. 13 No. 2 (2024): Sep: Basic and Applied Science Vol. 13 No. 1 (2024): June: Basic and Aplied Science Vol. 12 No. 4 (2024): March: Basic and Applied Science Vol. 12 No. 3 (2023): December: Basic and Applied Science Vol. 12 No. 2 (2023): Sep: Basic and Applied Science Vol. 12 No. 1 (2023): June: Basic and Applied Science Vol. 11 No. 4 (2023): March: Basic and Applied Science Vol. 11 No. 3 (2022): December: Basic and Applied Science Vol. 11 No. 2 (2022): Sep: Basic and Applied Science Vol. 11 No. 1 (2022): June: Basic and Applied Science Vol. 10 No. 4 (2022): March: Basic and Applied Science Vol. 10 No. 3 (2021): December: Basic and Applied Science Vol. 10 No. 2 (2021): September: Basic and Applied Science Vol. 10 No. 1 (2021): June: Basic and Applied Science Vol. 9 No. 4 (2021): March: Basic and Applied Science Vol. 9 No. 3 (2020): December: Basic and Applied Science Vol. 9 No. 2 (2020): September: Basic and Applied Science Vol. 9 No. 1 (2020): June: Basic and Applied Science Vol. 8 No. 4 (2020): March: Basic and Applied Science Vol. 8 No. 3 (2019): December: Basic and Applied Science Vol. 8 No. 2 (2019): September: Basic and Applied Science More Issue