cover
Contact Name
M. Irwan Hadi
Contact Email
m.h4di@ymail.com
Phone
-
Journal Mail Official
ajstea@yasin-alsys.org
Editorial Address
Jalan Lingkok Pandan No 208 Kwang Datuk, Desa Selebung Ketangga, Kec. Keruak, kab. Lombok Timur, Prov. Nusa Tenggara Barat, Indonesia
Location
Kab. lombok timur,
Nusa tenggara barat
INDONESIA
Asian Journal of Science, Technology, Engineering, and Art
Published by Lembaga Yasin Alsys
ISSN : 30255287     EISSN : 30254507     DOI : https://doi.org/10.58578/AJSTEA
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
Sustainable Transformation of Dairy Farmers in Latin America: A Perspective from Agribusiness Pacheco-Hernández, Armando; Ramírez-Umaña, Mauricio Vladimir; Bonilla-Landaverry, Gesly Aníbal; García-López, Roberto de Jesús
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 5 (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.v3i5.6845

Abstract

This study reports on an intervention conducted in a Cuban dairy farm with structural and technological conditions representative of national production systems, aiming to identify and address key constraints limiting sustainable productivity. The initial diagnosis revealed deficiencies in replacement heifer quality, degraded grazing pastures, and low reproductive efficiency. In response, a four-year strategic transformation plan was implemented, focusing on enhancing productive efficiency and business profitability. The herd comprised predominantly crossbred Holstein cows, with some purebred Holsteins selected for their high milk yield potential. Results demonstrated a marked improvement in performance, with milk yield per hectare increasing from 2,720 to 5,353 liters and reproductive success rising from 70% to 85%. These gains were accompanied by a significant reduction in production costs, achieved through optimized pasture use and reduced dependence on external feed supplements. The intervention transformed the farm into an efficient agribusiness model, characterized by rational input use, sustainable pasture intensification, and genetic and reproductive improvements. Overall, the case study underscores the feasibility of achieving high milk yields under low-input tropical systems by integrating sustainability, productivity, and profitability, offering a replicable model for strengthening the dairy sector in similar environments.
Effects of Online Learning Instruction and Blended Instruction on Academic Performance and Digital Literacy of Pre-Service Teachers in an Educational Technology Course Onwuagboke, Bede Blaise Chukwunyere; Nwakamma, Christiana Onyejuru; Umune, Hope Chinyere
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 5 (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.v3i5.6889

Abstract

This study examined the effects of fully online teaching and a blended teaching approach on the academic performance and digital literacy skills of student-teachers enrolled in an Educational Technology course at Alvan Ikoku Federal University of Education, Owerri. A quasi-experimental pre-test–post-test design was adopted, with a population of 589 level 200 pre-service teachers from the Faculty of Social and Management Sciences. The sample consisted of 92 student-teachers drawn from two intact groups in the Economics and Social Studies departments, taught during the second semester of the 2023/2024 academic year. Data were collected using two researcher-developed instruments: the Educational Technology Achievement Test (ETAT) and the Digital Literacy Skills Scale (DLSS), both validated by experts. Reliability testing yielded coefficients of 0.85 for ETAT (Kuder-Richardson 20) and 0.81 for DLSS (Cronbach’s alpha). Descriptive statistics (mean and standard deviation) were used to address research questions, while analysis of covariance (ANCOVA) tested the hypotheses. Findings showed that both groups achieved substantial learning gains, with the blended learning group outperforming the online-only group in academic performance. Additionally, both groups demonstrated improved digital literacy skills. The study concludes that blended learning offers greater instructional benefits and recommends that educational technology lecturers incorporate online delivery into regular face-to-face teaching to optimize learning outcomes.
RETRACTED: Valorization of Plastic Waste in the Manufacture of Paving Stones in Congo Republic: The Case of Polyethylene Terephthalates (PET) Berry, Ulrich; Nkeletela, Laurette Brigelia; Samba, René Evrard Josué; Motoula, Smäel Magloire Elombo; Mikanou, Olivier Mabiala
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 5 (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.v3i5.6904

Abstract

This study addresses the challenge of plastic waste, one of the major contributors to environmental pollution by proposing its valorization through recycling for construction applications. Specifically, the research explores the use of waste thermoplastics, with emphasis on polyethylene terephthalate (PET) collected from the streets of Brazzaville, as a binder in the production of paving blocks for road surfacing. The methodology involved incorporating 53.33% recycled plastic into a sand matrix to form paving blocks, with performance evaluation focused on water absorption behavior. The results indicate that the paving blocks exhibit very low water absorption rates, which remain nearly constant despite variations in plastic content. These findings suggest that PET-based recycled composites have favorable properties for road surfacing, demonstrating both environmental and practical benefits. The study highlights the potential of such recycling approaches to reduce plastic pollution while contributing to sustainable infrastructure development.
Adaptive Speed Controller for Industrial Gas Turbine Based on Valve Positioner Reference Model Jonathan, A. E.; Olubiwe, M.; Okozi, S. O.; Mbonu, E. S.
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 5 (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.v3i5.7028

Abstract

Research on speed control has advanced considerably, with continued efforts to address challenges related to load–frequency variation in power systems and gas turbines. This paper proposes a novel speed control system for heavy-duty gas turbines (HDGT) using an adaptive-like Proportional–Integral–Derivative (PID) controller integrated with a valve positioner reference model. The dynamic model of HDGT load–frequency operation was developed, alongside control models for model reference adaptive control (MRAC) and conventional PID. A composite multi-loop control structure combining MRAC and PID was then designed. Simulation results demonstrate that the proposed MRAC–PID system achieved rise times of 1.6074 s at no load and 1.5958 s at full load torque, settling times of 4.9584 s and 5.6801 s, and overshoot values of 4.9475% and 6.0385%, respectively. Overall, the composite system outperformed standalone MRAC and PID controllers, offering more adaptive and robust speed regulation under varying load–frequency conditions in HDGT operation. The findings highlight the potential of MRAC–PID control strategies to enhance gas turbine performance and reliability in power systems.
Reduction of Destructive Multipath Signal Effects in Radio Propagation Using Adaptive Equalization Technique N., Nwanoruo M.; A., Okoye J.; B., Mbachu C.
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 5 (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.v3i5.7051

Abstract

Radio signals transmitted through propagation channels are subject to fading, dispersion, and distortion, often resulting in communication errors such as inter-symbol interference. These impairments, largely influenced by atmospheric conditions and physical obstructions, alter signal behavior during transmission. This study evaluates the effectiveness of adaptive equalization techniques in mitigating the adverse effects of destructive multipath signals in wireless and radio communication systems. A Rayleigh fading channel model was employed, and an adaptive algorithm was implemented to approximate the desired filter by minimizing the least mean square error (MSE) of the output signal. System performance was assessed using source recovery error as a cost function to correct delays and recover the transmitted information. Two equalization strategies—decision-directed and dispersion minimization algorithms—were developed to reduce multipath-induced errors. Results showed that adaptive equalization significantly reduced signal ripple. The decision-directed equalizer exhibited faster convergence but higher steady-state error, achieving an optimal MSE value of 10⁻² and outperforming the dispersion minimization approach. These findings confirm the effectiveness of adaptive equalization in enhancing communication reliability under fading channel conditions.
Geotechnical Assessment of Cement Kiln Dust-Stabilized Black Cotton Soil for Subgrade Improvement in Road Construction Selnan, Jingnap Princewill; Binkam, Iddo Sharon; Yusuh, Abdulkarim Albdullahi
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 4 (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.v3i4.7055

Abstract

This study explores the effectiveness of Cement Kiln Dust (CKD) as a stabilizing agent for black cotton soil to enhance its performance as a subgrade material in road construction. Laboratory experiments were conducted to assess the California Bearing Ratio (CBR) and Unconfined Compressive Strength (UCS) of both untreated and CKD-stabilized soils, with CKD incorporated at varying proportions ranging from 0% to 15%. The results revealed a significant improvement in both CBR and UCS values with increasing CKD content, peaking at 12.5%, where the stabilized soil achieved a CBR ≥ 10% and UCS ≥ 100 kN/m². These enhancements are attributed to pozzolanic reactions, reduction in soil plasticity, and effective void filling facilitated by CKD. However, strength values declined beyond the 12.5% threshold, likely due to excessive fines disrupting particle packing efficiency. The 12.5% CKD mix not only satisfied standard subgrade strength criteria but also exhibited improved durability under saturated conditions, identifying it as the optimal stabilization level. The findings support the use of CKD as a sustainable and cost-effective solution for black cotton soil stabilization. Further research is recommended to assess long-term performance under actual traffic loads and environmental conditions.
Developing Intelligent Systems That Continuously Monitor and Validate Data Quality Across Large Distributed Systems Ezevillo, Zim
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 4 (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.v3i4.7056

Abstract

Ensuring high-quality data in large-scale distributed systems is essential for the reliability of real-time analytics, automated decision-making, and regulatory compliance in data-driven enterprises. Traditional data quality techniques, largely based on static rule-based approaches, are insufficient to address the scale, velocity, and complexity of modern distributed environments. This study presents the design and evaluation of an intelligent data quality monitoring system that integrates rule-based validation, machine learning models, metadata analysis, and adaptive feedback loops. The proposed architecture supports both real-time and batch processing, and was implemented using distributed computing frameworks such as Apache Kafka and Spark. Empirical evaluations conducted using synthetic IoT sensor data and real-world NYC taxi trip records demonstrated that the system outperformed traditional methods in terms of precision, recall, F1 score, and scalability. Furthermore, the system exhibited adaptive capabilities through feedback-driven learning and self-healing mechanisms, enabling it to respond effectively to evolving data patterns. These results confirm the system’s practicality and effectiveness in maintaining trustworthy data within high-volume, dynamic distributed environments. The study concludes with recommendations for future enhancements, including the integration of explainable AI and decentralized validation techniques.
Spatial Variations in Inflation Dynamics: A Comparative Analysis of Food and General Consumer Price Indices Across Nigerian States (January 2023–January 2024) Ayenigba, Alfred Ayo; Ajao, Olutunde Michael; Igbobie, Emeka Joseph
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 5 (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.v3i5.7068

Abstract

This study investigates spatial variations in inflation dynamics across Nigerian states between January 2023 and January 2024, with emphasis on food and general Consumer Price Indices (CPI). Drawing on data from the National Bureau of Statistics, the analysis applies descriptive statistics, Kruskal–Wallis tests, and Moran’s I spatial techniques to uncover regional disparities. Results indicate that food inflation (30.65%) consistently exceeded general inflation (25.88%), with states such as Kogi and Imo experiencing the widest gaps, largely attributable to supply chain inefficiencies and agricultural disruptions. Spatial clustering revealed distinct inflationary patterns, with high-inflation zones concentrated in the South-East and relatively lower inflation in the North-East, influenced by insecurity and infrastructure deficits. These findings underscore the need for region-specific policy measures that address structural drivers of inflation, particularly through targeted interventions in food security, supply chain resilience, and infrastructure development, in order to mitigate inflation’s socioeconomic impacts and promote economic stability.
Hedging through Defense Diplomacy: Indonesia’s Non-Alignment in the Age of Emerging Technologies Suminar, Sekar Hesti; Perwita, Anak Agung Banyu; Ramsi, Oktaheroe
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 4 (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.v3i4.7112

Abstract

Indonesia’s long-standing doctrine of a “free and active” foreign policy is increasingly reinterpreted in the 21st century as a strategic hedging approach, enabling the state to navigate intensifying great-power competition and rapid technological change. This study examines the emergence of defense diplomacy as a core instrument of Indonesia’s hedging strategy, allowing engagement with major powers and access to evolving defense technologies without compromising its non-aligned identity. Using a qualitative case study method, the research contrasts two key partnerships: the PT Len–Thales combat management system contract, representing Indonesia’s engagement with Western technology, and the ongoing Indonesia–India BrahMos missile negotiations, exemplifying diversification beyond traditional suppliers. The findings demonstrate that cultivating diverse, well-managed defense relationships mitigates overdependence on a single partner, enhances indigenous technological capacity, and advances strategic autonomy. This analysis argues that Indonesia’s hedging constitutes a contemporary articulation of non-alignment, reconciling normative commitments to sovereignty with pragmatic uncertainty management amid emerging technologies. By situating this dynamic within the broader framework of middle power diplomacy in the Indo-Pacific, the study underscores the growing relevance of defense diplomacy in safeguarding national interests in a fluid and contested geopolitical environment.
Hedging at Sea: Indonesia–Russia Defense Diplomacy through ORRUDA 2024 in the Indo-Pacific Norlyanti, Nia; Perwita, Anak Agung Banyu; Hendarwoto, Yermia
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 4 (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.v3i4.7123

Abstract

Amid intensifying great-power rivalries in the Indo-Pacific, Indonesia’s defense strategy has shifted toward multidirectional engagement to preserve strategic autonomy without committing to any single bloc. This study examines the strategic significance of the ORRUDA 2024 joint naval exercise between Indonesia and Russia as a case of defense diplomacy within a hedging framework. Drawing on neorealism, hedging theory, and the actor–process–issue model of defense diplomacy, the research adopts a qualitative case study approach that integrates primary sources, including press releases and official statements, with secondary scholarly literature. The findings reveal that ORRUDA operates both as a balancing mechanism against U.S.-led regional security architectures such as AUKUS and the Quad, and as a diplomatic signal affirming Indonesia’s bebas-aktif foreign policy. The exercise strengthens operational cooperation with non-Western partners, reinforces national security, and contributes to regional stability. It also demonstrates the utility of defense diplomacy as a non-aligned, peacetime instrument of strategic statecraft involving coordinated planning, communication, and issue-specific collaboration. Overall, the analysis underscores the role of calibrated, non-provocative military engagement in managing geopolitical uncertainty and highlights the importance of diversifying defense partnerships and enhancing strategic communication to sustain Indonesia’s agency in a contested Indo-Pacific environment.