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Asian Journal of Science, Technology, Engineering, and Art
Published by Lembaga Yasin Alsys
ISSN : 30255287     EISSN : 30254507     DOI : https://doi.org/10.58578/AJSTEA
Core Subject : Science, Art, Social, Engineering,
Arts Computer Science & IT Engineering Social Sciences
Asian Journal of Science, Technology, Engineering, and Art [3025-5287 (Print) and 3025-4507 (Online)] is a double-blind peer-reviewed, and open-access journal to disseminating all information contributing to the understanding and development of Science, Technology, Engineering, and Art. Its scope is international in that it welcomes articles from academics, researchers, graduate students, and policymakers. The articles published may take the form of original research, theoretical analyses, and critical reviews. AJSTEA publishes 6 editions a year in February, April, June, August, October and December. This journal has been indexed by Harvard University, Boston University, Dimensions, Scilit, Crossref, Web of Science Garuda, Google Scholar, and Base. AJSTEA Journal has authors from 5 countries (Indonesia, Nigeria, Pakistan, Nepal, and India).
Arjuna Subject : Umum - Umum
Articles 231 Documents
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Use of Differential Equations in Population Growth Analysis Sah, Sarswati Kumari; Sahani, Suresh Kumar
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 6 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i6.3951

Abstract

In this assignment we discussed differential equation applications in real-world scenarios. Differential equations are a significant area of mathematics with applications in many fields, including engineering, astronomy, biology, chemistry, physics, economics, and finance. Differential equations are used in economics to explain many concepts such as restricted and infinite growth, equilibrium and stability, and the dynamics of supply and demand in an economy. Differential equations will be used to examine several facets of Nepal in this research assignment.
Comparative Study on Forecast Performance from Decomposition, Winter’s and Sarima Models Stephen, Mathew; Ogunmola, Adeniyi; Akobi, Clement Ogbeche; Michael, Ibrahim
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 6 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i6.4040

Abstract

This study investigates the forecasting accuracy of three univariate time series models—Decomposition, Winter’s method, and Seasonal Autoregressive Integrated Moving Average (SARIMA) to predict the Agricultural GDP of Nigeria. Quarterly data on Nigeria's Agricultural GDP from 2010 to the first quarter of 2023, obtained from the National Bureau of Statistics, were analyzed. The study applied Box-Jenkins SARIMA modeling, time series decomposition, and Winter’s method to compare their forecasting accuracy using Root Mean Square Error (RMSE) as the selection criterion. The results revealed that the SARIMA (0, 0, 2)(2, 1, 0) model outperformed the other methods, with the lowest RMSE, indicating its superior accuracy in forecasting Agricultural GDP. Winter’s method and the Decomposition method. The forecast from the SARIMA model indicated a positive trend in Nigeria’s Agricultural GDP over the study period, reinforcing the sector’s critical role in economic growth.
Application of ARIMA Methods on Unemployment and Inflation Rates in Nigeria Akobi, Clement; Ogunmola, Adeniyi
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 6 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i6.4087

Abstract

In Nigeria, Unemployment and inflation rate are some of the problems bedeviling the economy. The inability of Job seekers to secure gainful employment tends to create disaffection among these people and cause some of them especially the youth, to resort to social vices. In the motivation to experience low unemployment rate and inflation rate which are economic indicators in Nigeria, deriving appropriate ARIMA model to give insight into future occurrence of these indicators for intervention calls for the application of ARIMA model. This study seek to fit ARIMA model to unemployment rate and inflation rate and forecast future values for both unemployment rate and inflation rate. Utilizing secondary data sourced from the National Bureau of Statistics (NBS) from 1991 to 2020. The findings reveal that, for each of the two series, to obtain the appropriate ARIMA model that fits the data, ten closely suitable ARIMA models were identified. Using the least values of AIC, AICc and BIC as selection criteria, ARIMA (0, 1, 1) was found to be the best fitted model for each of the two series. Subsequent diagnostic checks confirm the adequacy of the fitted models, with residual analyses indicating no significant autocorrelation or heteroscedasticity. The forecasted values for the unemployment rate series and inflation rate series maintain a constant point forecast. This implies that unemployment rate and inflation rate in Nigeria does not reveal a noticeable increase nor decrease but will be constant in Nigeria. Due to the unchanging forecasted value which appears not to be decreasing, there is need for interventions that will lead to the visible reduction of present unemployment rate and inflation rate in Nigeria.
Clinical Characteristics and Mortality Risk Factors of Hospitalized COVID-19 in Children: An Experience of Two Years Pandemic in Regional Referral Hospital Rabbani, Gefaritza; Putra, David Anggara; Andarini, Ismiranti
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 6 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i6.4105

Abstract

Coronavirus disease 2019 (COVID-19) has spread worldwide rapidly. COVID-19 in children is relatively mild compared to adults. However, several studies showed high mortality rates in children with underlying diseases. This study aimed to describe the clinical characteristics and outcomes of pediatric COVID-19 cases in regional referral hospital. This study was retrospective observational study using data from Medical Record Dr. Moewardi General Hospital between October 1st, 2020 and October 30th, 2022. The epidemiological and clinical data were extracted from the database and were compared with outcomes of patients. All statistical analyses were performed by SPSS software version 27. This study enrolled 371 (19,9%) children with confirmed RT-PCR SARS CoV-2 from 1856 hospitalized suspected children whereas 55% were males, and 63% aged under 5 years old. Moderate-severe patients accounted for 18% of the cases. Cough (74,4%), fever (66,6%) and shortness of breath (22,6) are the most common symptoms while 99 (26,7%) patients who had chronic diseases with the most common diseases being congenital heart disease, hematological malignancy and neurological disorders. Patient outcomes were significantly related to age, degree of severity and chronic disease with p=0.004, p< 0.001, and p< 0.001 respectively. After performing multivariate regression analysis, degree of severity [p<0.001; adjusted OR = 28.03, 95% CI (10.73–73.21)] was found to be significant predictors for mortality. The clinical and epidemiological data revealed that the majority symptom were cough, fever and shortness of breath. Mortality rate during hospitalization was higher in children with moderate-to-severe COVID-19.
WSN Localization in Smart Cities Using Hybrid (TDOA & RSSI) Localization Techniques with Extended Kalman Filter Jude, Ishiwu Ifeanyichukwu; Omotayo, Oshiga; Karataev, Tologon; Awunde, Peter Igba; Kurfi, Nusaiba Bashir; Okpe, Michael Paul; Ejire, Ollor Abee; Ogheneovo, Odivwofene Excel
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 6 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i6.4109

Abstract

In the context of smart cities, localization technologies are essential for tracking objects in both indoor and outdoor environments. The characteristics of urban settings such as building density, signal interference, and multipath propagation significantly impact the accuracy of localization algorithms. This paper reviews existing localization techniques, categorizing them into range-based and range-free methods, and discusses key algorithms including trilateration, multilateration, and triangulation. We propose a hybrid localization framework that combines Time Difference of Arrival (TDOA) and Received Signal Strength Indicator (RSSI) techniques, enhanced by an Extended Kalman Filter (EKF) for improved accuracy and robustness. Additionally, we present a design architecture for a transmitter and receiver system utilizing Long Range (LoRa) technology, facilitating the development of low-cost, low-power tracking devices that operate independently of Global Positioning System (GPS). Our approach aims to enhance the efficacy of localization in smart city applications, ultimately contributing to improved urban management and safety.
A Statistical Evaluation of the Occurence of Meningitis in Takum, Taraba State, Nigeria Idi, Danjuma; Akobi, Clement; Stephen, Mathew; Bamigbala, Olateju Alao
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 6 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i6.4112

Abstract

Meningitis remains a critical public health issue in Nigeria, particularly within the dry season when environmental factors such as low humidity and dust elevate transmission risks. Using historical incidence data from 2012 to 2021, this study utilizes the Autoregressive Integrated Moving Average (ARIMA) model estimate and predict the occurrence of meningitis occurrences. Findings frm the study revealed that the ARIMA(1,1,0) model emerged as the optimal fit, capturing the seasonal patterns and temporal trends in meningitis cases. This study recommends the integration of ARIMA-based forecasting into Nigeria’s public health strategies to strengthen early warning systems, optimize resource deployment, and enable more proactive responses during high-risk periods.
Predictive Autoregressive Integrated Moving Average Model; Meningitis Death and Alzheimer Death Ogunmola, Adeniyi Oyewole; Onowuzou, James Oruarooghene; Idi, Danjuma
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 6 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i6.4126

Abstract

Nigeria, being a developing country and by its limited resources, priority must be placed on deaths due to ill-health-related research. This study aims to investigate the temporal pattern and forecast mortality associated with Alzheimer’s disease and meningitis using ARIMA model techniques. Results showed that the best fitted for the Alzheimer series is the ARIMA (1, 2, 0) model and the best for the meningitis series is the ARIMA(1,1,0) model. The forecasted values revealed that there will be an inconsistent slight decrease in meningitis deaths while there will be an increase in Alzheimer's deaths over the years. For meningitis, the predicted deaths for 2020, 2021, and 2022 respectively, were 45401, 45216, and 45287, and their 95% confidence intervals were obtained. For Alzheimer's, predicted deaths for 2020, 2021, and 2022 respectively, are 12472, 12832, and 13191, and their corresponding 95% confidence intervals were also obtained. Diagnostic checks for the predictive models were carried out and assumptions were sastisfied.
Analysis of Consumer Behavior in Using E-Wallet with Structural Equation Model Method Yuniarti, Desi; Sari, Nariza Wanti Wulan; Mutmainnah, Dalfa Diandra; Palilu, Dryan Putra; Budi, Ennesya Estya; Hambali, Nidaa Rifdah Rahima
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 6 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i6.4207

Abstract

Current technological advances have changed people's needs for fast, practical, and secure payment systems. Indonesia has now entered the era of the digital economy, where economic activities increasingly rely on digital information and communication technology. In this digital economy, the use of electronic money is on the rise, and Indonesians are starting to adopt payment systems that utilize it. When choosing a digital service, individuals consider factors such as perceived benefits, ease of use, and trust. The purpose of this study is to analyze consumer behavior in using e-wallets through the Structural Equation Model method. This study uses sample data from 55 e-wallet users who are students at Mulawarman University. The results of the analysis show that perceived benefits have a significant influence on consumer behavior; however, ease of use and trust do not significantly affect consumer behavior.
Functional Outcome of K-Wire Fixation of Supracondylar Fracture of Humerus (Type-III) in the Children Following Six Months Mushtaq, Komal; Mehak, Shareen; Fatima, Laraib; Arshad, Humaira; Rehman, Muheebur; Saif, Kainat; Mateen, Aleena
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 6 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i6.4230

Abstract

Supracondylar fracture is an injury to the humerus or upper arm bone just above the elbow. It is most common type of upper arm injury in children. Mostly caused by fall on outstretched elbow or direct blow to the elbow and mostly treated by k-wire in the children due to good results post-operatively. The objective of my study was to assess the functional outcome of k -wire fixation after supracondylar fracture of humerus (type-III) following six months. A descriptive case-series, a total sample of 20 cases of k-wire fixation after supracondylar fracture of humerus following six months in the children were included in the study, whose functional range were within 90-120 children of both sex, between age under 12 years were included. Study results showed 40% children with no difficulty, 45% with mild difficulty, and 15% with moderate difficulty. Overall, there were good functional outcome. The Current study concluded that, there was good Functional outcome of supracondylar fracture of humerus (type-III) with k-wire fixation following six months in children.
Image Contrast Enhancement Using General Histogram Equalization and Homomorphic Filtering Olobo, Neibo Augustine
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 1 (2025): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v3i1.4244

Abstract

The realm of image processing is characterized by the judicious application of mathematical operations to facilitate image transformation and refinement. By synergizing signal processing techniques, image processing can culminate in an enhanced image or the extraction of salient parameters. This research concentrates on ameliorating the contrast of images beset by low contrast, concomitantly extracting relevant image parameters. Images with subpar contrast can engender flawed outcomes in myriad disciplines, highlighting the necessity of contrast enhancement. This study introduces an innovative image processing system, conducting a comparative analysis of General Histogram Equalization and Homomorphic Filtering. The results unequivocally demonstrate the superiority of Homomorphic Filtering. The system's output manifests pronounced efficiency in elevating image contrast, heralding far-reaching implications.

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