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International Journal of Integrative Research (IJIR)
Published by MULTITECH PUBLISHER
ISSN : -     EISSN : 29882184     DOI : https://doi.org/10.59890/ijir.v1i6
Core Subject : Economy, Health, Science, Education,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions
The International Journal of Integrative Research (IJIR) is published by the Multitech Publisher. IJIR provides a supportive environment for multidisciplinary researchers to publish their contributions to the academy of knowledge and wisdom. The Focus of the journal is on multidisciplinary research which should cover at least two distinct disciplines that aim to solve a real-life problem that contributes to the development of knowledge and wisdom.
Arjuna Subject : Umum - Umum
Articles 5 Documents
 1 
Search results for , issue "Vol. 1 No. 7 (2023): July 2023" : 5 Documents clear
Statistical Optimization of Process Variables for Biodiesel Production from Lagenaria Siceraria Seed Oil Usman Rufai Fakai
International Journal of Integrative Research Vol. 1 No. 7 (2023): July 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijir.v1i7.40

Abstract

Rising energy demand has led to progressive increase in the cost of fossil fuel globally. The exploration and exploitation of fossil fuel has led to depletion of oil reserves, moreover these fossil fuels are not only expensive but also has severe environmental consequences. Renewable and sustainable energy resources gained greater importance in the current situation to supplement and minimize the environmental pollution load and to compensate the energy demand worldwide. Biodiesel can be produced from myriad sources such as waste or virgin oil, algae, and animal fats. Optimization of process variables to produce biodiesel proves to be economic and effective way of producing biodiesel. In this study RSM based optimization was carried out using five-level, four-factorial central composite design in thirty (30) runs. Design expert version 6.0 was used for the study. The four processing variables under study are A: catalyst concentration, B: methanol to oil molar ratio, C: reaction time and D: temperature. The optimum conditions for maximum biodiesel (88.40%) was; methanol to oil molar ratio (9.07:1), reaction time (70.59min), reaction temperature (53.090C), and amount of catalyst (0.88). The regression equation obtained for the model having a coefficient of correlation (R2), and adjusted coefficient of correlation (R2adj) are “Pred R-Squared" of 0.927 is in reasonable agreement with the "Adj R-Squared" of 0.911. "Adeq Precision" measures the signal to noise ratio.  A ratio greater than 4 is desirable. Ratio of 13.200 reported for this work indicates an adequate signal.
Assessing the Impact of Oil Price Volatility on Nigeria's Economic Growth and Stability 2006 to 2022: a Quantitative Analysis Augustine Okon Jacob Jacob; Okon Joseph Umoh Umoh
International Journal of Integrative Research Vol. 1 No. 7 (2023): July 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijir.v1i7.77

Abstract

This research use time series analysis to examine Nigeria's economic dynamics, concentrating on the link between Real Gross Domestic Product (RGDP), Inflation (IFR), Interest (INT), and Crude Oil Price. The information covers the years 2006 to 2022 and gives insights into how the country has changed over time. The results show a positive trend in RGDP, indicating economic expansion. Inflation rates vary, suggesting the presence of both inflationary and deflationary influences. Interest rates are constant, while crude oil prices are volatile, affecting Nigeria's oil-dependent economy. A somewhat positive association between Crude Oil Price and independent variables is revealed using regression analysis. The statistical significance of the independent variables, on the other hand, is only slightly supported. The ANOVA table validates the regression model's overall significance, indicating an influential independent variable. The influence of independent factors on the dependent variable is demonstrated by coefficients, but their significance falls short of traditional values. The correlation matrix reveals an inverse link between RGDP and output/crude oil exports. There are weak positive connections between RGDP and inflation, as well as crude oil prices and inflation. Interest rates and crude oil exports do not have a strong relationship with crude oil prices. These findings helped to comprehend Nigeria's economic dynamics and illustrate the complexities of varied interactions. To go deeper into certain hypotheses, more study is required. The study emphasizes the significance of understanding the impact of oil price changes on the Nigerian economy in order to drive appropriate policy responses and the necessity for economic diversification.
An Investigation into Deep Learning and Machine Learning Approaches for Securing the Internet of Things (IOT) A. Y. Gital; A. A. Ibrahim; H. Sunusi
International Journal of Integrative Research Vol. 1 No. 7 (2023): July 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijir.v1i7.81

Abstract

The study explores machine learning and deep learning (ML) (DL) model helped in solving IoT the computation problem, which led to the adoption of many domains for its application in the problem-solving task. Solving a specific problem, this has led to the idea that deep and machine learning (DL) (ML) are two powerful approaches to data. Therefore, the purpose of this article is to provide a systematic review of “Scanning Machines and Deep Learning Methods for Internet of Things (IOT) Security and Privacy” on the current state of research on IoT and its joint venture with DL. This technique uses discrepancy privacy to prevent the adversary from understanding the use cases used to build the target model. The paper concluded that algorithms deep learning and machine learning were only developed recently and are not intended for use in cryptographic applications. However, for researchers who can implement cryptography, deep learning and machine learning can be used to implement cryptography.
Case Study: Analysis of the Effect of Food Texture on Baby’s Language Acquisition Fitri Ayu
International Journal of Integrative Research Vol. 1 No. 7 (2023): July 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijir.v1i7.127

Abstract

This research was purposed to analyze the effect of baby’s food texture on baby’s language acquisition. The method used in this research was qualitative method especially case study on two babies who are siblings. This research was focused on their language acquisition when their age was 9-24 months. The data earned was primary data from the mother and her children Au and Mu through interview, observation and diary notes. The result of this research showed that the food texture brought many effects of baby’s language acquisition.
The Effect of Project Based Learning Model on Student Satisfaction Fitria; Emy Iryanie
International Journal of Integrative Research Vol. 1 No. 7 (2023): July 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijir.v1i7.135

Abstract

Advances in learning media technology, previously in the form of visual and audio displays, can now be put together in multimedia. The data analysis used in this research was regression analysis. This research aims to be a consideration in the application of methods to learning. The first data analysis in this study was to test the quality of the data. The second data analysis involved testing the classical assumptions. The third was to test multiple linear regression analysis to determine the Goodness of Fit Model to show whether the regression model formed is feasible or not to be used to predict the dependent variable. In several tests that have been carried out, the PBL method variable in the learning process variable in the course has an effect on student satisfaction, which means that the model used in this study is feasible.

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