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 5 Documents
 1 
Search results for , issue "Vol. 12 No. 1 (2023): June: Basic and Applied Science" : 5 Documents clear
Spatial pattern of changes in land surface temperature of seram island based on google earth engine cloud computing Heinrich Rakuasa; Daniel Anthoni Sihasale; Philia Christi Latue
International Journal of Basic and Applied Science Vol. 12 No. 1 (2023): 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.v12i1.172

Abstract

Monitoring land surface temperature in Seram Island using cloud computing-based geospatial technology, Google Earth Engine, could help to understand global climate and weather changes, and provide important information for scientists, governments, and non-governmental organizations to make decisions related to climate change mitigation and natural disaster management. This study aims to analyze the spatial pattern of land surface temperature change on Seram Island based on the cloud computing Google Earth engine. This research uses Moderate Resolution Imaging Spectroradiometer (MODIS) Terra Land Surface Temperature and Emissivity 8-day global satellite image data, which are accessed and analyzed in Google Earth Engine and Arc GIS. The results of this study show that the value of land surface temperature on Seram Island in 2017 is 14.7089ᵒC at the lowest value and 30.1012ᵒ C at the highest value and it increased in 2022 where the lowest temperature value is 14.0452ᵒC and the highest temperature is 32.639ᵒC. Built-up land and open land areas on Seram Island have very high surface temperature values compared to forests and plantations which have low land surface temperatures. Analysis of land surface temperature in Seram Island Regency could provide important information for the local government to make policies and plans for sustainable regional development
Stationary and non-stationary method for solving system of linear equation Ferdinan Rinaldo Tampubolon; Sinta Marito Siagian; Samaria Chrisna; Rischa Devita; Indah Nurhidayati
International Journal of Basic and Applied Science Vol. 12 No. 1 (2023): 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.v12i1.173

Abstract

System of Linear Equation  where  is a non-singular and square matrix .  Method for solving System of Linear Equation consist of direct method and indirect method. Further indirect methods were divided into two, that is stationary and non-stationary. This research will conduct a comparative study of several indirect methods and direct methods in solving several cases of Linear equation systems. Some methods that will be compared in this research are jacobi, gauss-seidel, SOR, conjugate and biconjugate gradient. Testing several methods for some kind of matrix is useful to understand the characteristics of each method in solving different types of matrices. The result show that non-stationary such as conjugate and biconjugate has a less computation and faster to convergence compared to stationary method for several symmetric and non-symmetric matrices
Comparative analysis of linear and quantile regression models in predicting body mass index among students Odoh, C. M; Ugwu, N. D; Charles Aronu
International Journal of Basic and Applied Science Vol. 12 No. 1 (2023): 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.v12i1.184

Abstract

This study applies quantile regression to model the Body Mass Index (BMI) of 152 students from Delta State Polytechnic in Delta State, Nigeria. The BMI serves as the response variable, while skin fold (SK), feeding habit (FH), feeding frequency (FF), and frequency of exercising (FE) are considered as explanatory variables. A comparison is made between the results obtained from the classical linear regression model and quantile regression models at different quantiles (p = 0.1, 0.25, 0.5, 0.75, and 0.9) to examine the impact of the variables on the students' BMI and assess if the relationships differ across quantiles. The findings reveal significant differences between the classical linear regression and quantile regression models, emphasizing the importance of quantile regression in capturing the nuances of the relationship between variables at different points of the BMI distribution. The study highlights the limitations of the classical linear regression model in providing a comprehensive understanding of the data and underscores the value of quantile regression in enhancing our insights into the relationship between BMI and the considered factors. This research contributes to the broader literature on quantile regression and its applications in exploring BMI and related health issues among students
Exploring the role of urine analysis in early detection of chronic kidney disease Frank H.
International Journal of Basic and Applied Science Vol. 12 No. 1 (2023): 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.v12i1.248

Abstract

This study focuses on the development and validation of a urine-based diagnostic model for early detection of Chronic Kidney Disease (CKD). Only urine indicators, hypertension, diabetes mellitus, coronary artery disease, appetite, pedal edema, and anemia, are selected based on their relevance to CKD. A decision tree algorithm is utilized for model development, with specific parameters set for optimal performance. The model is trained and evaluated using two datasets, demonstrating promising results in terms of 100% true positive and true negative rates in validation study. The findings highlight the potential clinical significance and applicability of the developed model for timely interventions in CKD patients.
Insecticide phytocoil production from neem based materials and characterization of neem oil extract Tahiru Saka; Aadil Khursheed; Abdulhalim Musa Abubakar; Gaurav Kumar Pandit; Peter Simon; Mamoudou Hamoudou
International Journal of Basic and Applied Science Vol. 12 No. 1 (2023): 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.v12i1.251

Abstract

Neem based materials are abundant in almost every part of the world. It is allowed to litter the environment and eventually swept and disposed. In this study, neem oil was extracted from neem seeds kernel and its characterization was done by proximate analysis to determine the physico-chemical properties of the oil extracted. From the experiment, the moisture content, oil content, saponification (SAP) value, color and nature at room temperature of the grinded neem seed are 11.4%, 48.4%, 171 mg KOH, golden yellow and liquid, respectively. The primary objective of this work is to formulate an insecticide phytocoil from neem materials. The formulated insecticide phytocoil from both oil and neem leaves can be used as substitute to synthetic insecticides. Examining the repelling ability of the phytocoil confirms its ability to deter mosquitoes for up to 4 hrs in a small toilet room. Packaging as well as the improvement of the methodology of its mass production is suggested to enhance its looks and shape it to acceptable standard

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2023 2023


Reset
Filter By Issues
All Issue Vol. 14 No. 2 (2025): Sep (In Progress) 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