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Asian Journal Science and Engineering
Published by CV. Creative Tugu Pena
ISSN : 29636752     EISSN : 29636752     DOI : http://dx.doi.org/10.51278/ajse.v1i2.545
Core Subject : Science, Engineering,
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering
Asian Journal Science and Engineering publishes all those best ideas from the science, which can be introduced in the engineering. Since, obtaining the high-quality, competitive products is based on introducing high technologies from various independent spheres of scientific researches, but united by a common end result - a finished high-technology product. The purpose of this journal is to publish quality articles dedicated to the scientific research development that focuses Mechanical Engineering, Civil Engineering, Chemical Cngineering, Electrical Engineering, Engineering Physics
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 7 Documents
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Search results for , issue "Vol. 4 No. 2 (2025): Asian Journal Science and Engineering" : 7 Documents clear
From Problematic Projects to Smart Solutions: A Literature Review on the Role of AI in Modern Project Management Theresia Avila Bria; Joko Suparmanto; Onisius Loden; Lodia Semaya Amnifu; Engelbertha N. Bria Seran
Asian Journal Science and Engineering Vol. 4 No. 2 (2025): Asian Journal Science and Engineering
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/ajse.v4i2.2050

Abstract

Despite extensive methodological progress, project failure rates remain persistently high across sectors such as construction, information technology, and public infrastructure. This study employs a Systematic Literature Review (SLR) based on the PRISMA framework, analyzing 78 peer-reviewed articles published between 2015 and 2025 from databases including Scopus, Web of Science, IEEE Xplore, ScienceDirect, and SpringerLink. The review identifies three primary categories of factors contributing to project failures: (i) organizational shortcomings such as weak planning, limited stakeholder engagement, and ineffective risk governance; (ii) external disruptions linked to market volatility, regulatory changes, and environmental instability; and (iii) technical and operational deficiencies, including reactive monitoring and resource mismanagement. Within this context, Artificial Intelligence (AI) emerges as a transformative enabler in project management. AI applications are grouped into four domains: early risk detection and prediction, decision support and optimization, real-time monitoring and control through IoT and analytics, and systematic learning from failed projects using knowledge-driven approaches. While the literature emphasizes AI’s role in achieving project success, this study highlights its corrective and recovery potential for failing projects. The paper proposes reframing AI not only as a success enabler but as a critical tool for failure prevention and recovery. Future research should prioritize empirical validation, hybrid human–AI decision-making models, and cross-sectoral applications to strengthen AI’s role in building adaptive and resilient project management frameworks.
Analysis of lime mixture on the characteristics of the physical and mechanical properties of the soft soil sauce Hendri Tri Saputra; Agus Tugas Sudjianto; Aji Suraji; Cakrawala Cakrawala
Asian Journal Science and Engineering Vol. 4 No. 2 (2025): Asian Journal Science and Engineering
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/ajse.v4i2.1984

Abstract

The object of this study is Lanau Landu Land from the Kedung Baruk region, East Surabaya. This type of soil is known to have unfavorable geotechnical characteristics, such as low carrying capacity, high water content, and a large level of saturation. This study aims to analyze the effect of mixture of calcite lime on changes in physical and mechanical properties of soft sauce soil. Calcite lime used has a high level of CaCo₃ and mixed into the soil with variations of 0%, 5%, 10%, 15%, and 20%. Laboratory testing is carried out including water content, specific gravity, Atterberg limit, maximum dry weight weight, and free compressive strength. The results showed that the addition of calcite lime was able to reduce water content and soil plasticity, as well as increasing the density and free compressive strength, especially at 10%levels. However, at 20%levels, there was a decrease in density due to the formation of lime aggregates that were not homogeneous. Chemically, the reaction between calcium carbonate and silica/alumina from the soil forms calcium silicate hydrate compounds (CSH) and calcium aluminate hydrate (CAH), which increases bonds between soil particles. This process improves the micro -soil structure, increases its strength and stability. Capur calcite also provides alternative stabilization that is more economical and environmentally friendly than cement or flying ash, even though the reaction is slower. Thus, chalk calcite is effective in improving the quality of Lanau Soft soil in Kedung Baruk, East Surabaya.
Occupational Safety and Health Risks (K3) on Construction Workers Construction of the Four Floor Boarding House for Jalan Andong Barat fifi damayanti; Yurnalisdel Yurnalisdel; Lucius Wato Koten
Asian Journal Science and Engineering Vol. 4 No. 2 (2025): Asian Journal Science and Engineering
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/ajse.v4i2.2024

Abstract

The rapid growth of the modern industry requires employees to work with maximum performance and productivity in the middle of the work schedule that is dense safety and health in the workplace (K3) is important to protect workers from the dangers and risks at work, both physical, mental, and emotional. This study aims to evaluate the application of Occupational Safety and Health (K3) in the Four -Floor Boarding House Construction Project on Jalan Andong Barat. The research method uses a quantitative descriptive approach by collecting data through observation of the use of personal protective equipment (APD) for 14 days. Data were analyzed using SPSS to identify the level of compliance, the trend of using PPE, and the factors that influence K3. Based on the calculation of the average compliance level of PPE use in the work structure of lightweight steel roof frame structures in the four-storey boarding house of Jalan Andong Barat for 14 days is 70%. Based on PU/PR Regulation No. 09/2008, this figure is included in the category of moderate compliance (60-85%) while the type of PPE with a very good use rate (≥85%) is a helmet (95%), glasses (86%), boots (95%), and work clothes (100%) while the type of PPE with a fairly good use rate (60-85%) is glove (41%), Safety Belt (51%), Ear Protector (51%), and Full Body Harness (34%). The results show that the use of PPE such as helmets (95%), safety shoes (95%), and work clothes (100%) have met the standard, while Full Body Harness (34%) and masks (41%) are still low. Conclusion This study emphasizes the importance of increasing OHS training and strict supervision of the use of PPE, especially for equipment with low compliance levels
Evaluation Of Implementation Strategies And Methods To Improve Efficiency In The Bagong Main Dam Project Trenggalek moch. khamim; Mohamad Zenurianto; Raden Ajeng Mariyana; Roland Gasenda Suryaningrat
Asian Journal Science and Engineering Vol. 4 No. 2 (2025): Asian Journal Science and Engineering
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/ajse.v4i2.2030

Abstract

Earthfill dam construction requires effective strategies to ensure structural safety, construction quality, and efficient use of time and resources. This study examines the construction strategy and implementation method of the Main Dam of the Bagong Dam Project, Indonesia, which is designed as a vertically zoned earthfill embankment with a length of 620 m, a crest width of 12 m, a crest elevation of +330 m, and a height of 82 m. The research focuses on the application of a zoning-based construction approach to improve construction efficiency under complex field condition. The results indicate that dividing the embankment into six functional zones enables systematic layer-by-layer construction and parallel work execution, resulting in a planned construction duration of 937 working days. The integration of material zoning, quality control procedures, and optimized equipment management ensured that all embankment layers achieved more than 95% of maximum dry density. Coordinated equipment utilization further improved productivity, allowing approximately 304,653 m³ of embankment work to be completed within 53 working days during critical construction stages. In addition, the implementation of a structured safety management system supported the achievement of zero-accident construction performance. These findings demonstrate that the integration of zoning strategy, systematic construction sequencing, quality management, equipment planning, and safety control significantly enhances time and cost efficiency while maintaining construction quality. The proposed approach provides a practical framework for earthfill dam construction projects in Indonesia and other regions with similar geological and climatic conditions.
Deformation Analysis of Electric SUV Crash Box: Comparison Between Hollow and 3D-Printed Lattice Core Models Using ANSYS Explicit Dynamics Moh. Ahnaf Aqil; Ferly Isnomo Abdi; Sudirman Rizki Ariyanto; Diah Wulandari
Asian Journal Science and Engineering Vol. 4 No. 2 (2025): Asian Journal Science and Engineering
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/ajse.v4i2.2096

Abstract

The development of SUV electric vehicles requires a crash box system that is able to reduce deformation more effectively than conventional hollow designs that tend to be unstable when subjected to high-energy impacts. This study compared the performance of three crash box models, namely hollow, lattice 3D-printed core, and lattice with internal divider wall using ANSYS Explicit Dynamics simulation. The main parameters analyzed include the folding pattern of collapse and maximum deformation as indicators of structural stability. The simulation results showed that all models were in concertina deformation mode, but the stability levels differed significantly. The crash box hollow recorded the largest deformation of 47,579 mm, while the divider-less lattice model decreased to 38,899 mm. The lattice configuration with divider walls is the most superior design with a minimum deformation of 31,098 mm, as well as a more symmetrical and controlled fold pattern. These findings confirm that the integration of the lattice structure, especially with the internal divider is capable of increasing rigidity and inhibiting axial buckling without significant mass gain. Further research is recommended evaluating lattice topology variations and experimental tests as verification of numerical results.
Implementation of Fault Tree Analysis for Production Quality Control Evaluation Zulfahmi Noor; Nurmasitya Kemalaintan; Muhammad Noor Arridho
Asian Journal Science and Engineering Vol. 4 No. 2 (2025): Asian Journal Science and Engineering
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/ajse.v4i2.2111

Abstract

This study aims to evaluate the quality control of lightweight brick production at PT XYZ using the Fault Tree Analysis (FTA) method. In the manufacturing industry, product defects are a major challenge that can affect production efficiency, operating costs, and company competitiveness. Based on production data from January to December 2024, the total number of defects identified reached 125,334 units, consisting of three main types, namely cracks (63%), peeling (21%), and imprecision (16%). Through the application of FTA, this study revealed that the two dominant factors that are the root causes of product defects are human error and tools or equipment. Human error is mainly triggered by operator carelessness, overly rapid mold dismantling processes, and errors in installing cutting tools. Meanwhile, machine factors include worn components, excessive vibration, deteriorating cutting wire quality, and lack of regular maintenance. The results of the study emphasize the need for a comprehensive improvement strategy through increasing operator competence, enforcing work discipline, scheduled machine maintenance, and standardizing operational procedures. The implementation of these improvements is expected to reduce the defect rate and improve product quality in a sustainable manner.
The Effect of Bioethanol Blends with 92 Octane Gasoline on Engine Performance and Exhaust Emissions yuniarto agus winoko; Achmad Walid; Mutrofin Rozaq; Akbar Anugrah
Asian Journal Science and Engineering Vol. 4 No. 2 (2025): Asian Journal Science and Engineering
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/ajse.v4i2.2134

Abstract

This research focuses on the use of bioethanol mixed with 92-octane gasoline as an alternative fuel to improve engine performance and reduce emissions. The main problem addressed is the lack of optimization in the bioethanol and gasoline mixture ratio, which affects combustion efficiency and engine performance. The results show that mixing bioethanol with gasoline improves the brake mean effective pressure (BMEP) and decreases specific fuel consumption (SFC) at certain engine speeds, indicating enhanced combustion efficiency. However, the mixture ratio beyond a certain percentage (30% ethanol) leads to decreased performance, showing the limits of bioethanol use in fuel blends. The distinctive feature of this study is the comprehensive evaluation of different bioethanol proportions (13%, 15%, and 17%) and their effect on engine performance, providing more specific insights into the optimal fuel mixture for various engine conditions. The results are particularly useful for the automotive industry and policymakers looking to implement bioethanol as a sustainable alternative fuel

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