Current Issue

Journal of Engineering and Technological Sciences Vol. 57 Issue 3 2025

Vol. 57 No. 3 (2025)

Issue Articles

Articles Published in This Issue

Explore peer-reviewed research articles published in this issue.

researchpp. 291–302

Enhancing Biogas Production through the Co-Digestion of Indigofera and Cow Manure for Electricity Generation

The research examines the augmentation of biogas generation through the co-digestion of Indigofera tinctoria waste and cow manure, emphasising the optimization of parameters for enhanced efficiency. Anaerobic digestion presents potential for sustainable waste management and renewable energy generation. The initial discussion underscores the significance of Indigofera tinctoria, alongside challenges in managing agricultural and organic waste. The methodology encompasses substrate preparation, reactor design, and biogas utilization for electricity generation. Results indicate that substrate…

Keywords
anaerobic digestion biogas production co-digestion electricity generation Indigofera tinctoria
0 Views0 Downloads0 Citations
researchpp. 303–314

Decision Tree Machine Learning Approach for the Performance Prediction of Asphalt Mixes Modified with Waste Tyre Metal Fibre

The Marshall stability and flow of asphalt mixes are key performance indicators of their durability and suitability for use in the pavement industry. Achieving the optimal bitumen content and volumetric properties through mix design is critical and depends on the characteristics of the materials used. Recycling waste materials in asphalt is also vital for promoting environmental sustainability. The development of machine learning models plays a crucial role in predicting the performance of such asphalt mixes. This study explores the use of a machine learning approach to predict the…

Keywords
asphalt mixes decision tree flow marshall stability metal fibre
0 Views0 Downloads1 Citations
researchpp. 315–326

Life Cycle Assessment of Decaffeinated Coffee Beans Production

Life Cycle Assessment (LCA) analysis was conducted on the simulation of the production process of decaffeinated coffee beans using ethyl acetate (EA) and dichloromethane (DCM) solvents. The methods employed include the cradle-to-gate system, the ReCiPe 2016 midpoint method, and a hierarchic perspective on OpenLCA. The analysis used 320 kg of Robusta coffee beans per batch with the scope of analysis consisting of planting, postharvest, transportation, and decaffeination. The overall results of the hotspot analysis were human carcinogenic toxicity, marine ecotoxicity, global warming, freshwater…

Keywords
coffee decaffeination environmental impact life cycle assessment toxicity
1 Views0 Downloads2 Citations
researchpp. 327–342

Volcanoes Segmentation at the Western Sunda Arc based on Satellite-derived Geological Lineaments and Land Surface Temperatures

The Western Sunda Arc is an active tectonic zone formed by the subduction of the Indo-Australian Plate beneath the Eurasian Plate. The tectonic zone hosted for 83 active volcanoes, including Mts. Sinabung, Krakatau, Tangkuban Parahu, Merapi, and Semeru. The dense volcano concentration and high volcanic activity cause complexity in monitoring and observation processes. Segmenting volcanoes by location and tectonic setting is necessary to simplify the disaster monitoring and enhance mitigation efforts through focused observation areas. This study focuses on the segmentation of the volcanoes…

Keywords
Landsat 8 land surface temperature lineament segmentation Sunda Arc SRTM
0 Views0 Downloads1 Citations
researchpp. 343–356

Fully Automated Ground Motion Selection Platform Considering Multiple Seismic Source Contributions for Seismic Evaluation of Existing Buildings in Indonesia

Buildings throughout Indonesia are at risk of experiencing damaging earthquake events from multiple sources within shallow crustal and subduction zones. Seismic assessments per SNI 9273: 2024 require earthquake acceleration time series, but a public web-based platform that can facilitate this need was not yet available. Thereby, it became urgent to investigate the possibility of developing an automated engineering tool that can determine hazard-consistent ground motion set with good target-match accuracy for regions where multiple seismic source contribution is prevalent. The investigation…

Keywords
automated engineering platform ground motion selection in Indonesia ground motion set optimization multiple seismic source contribution seismic assessment tool for Indonesia seismic evaluation of existing buildings
0 Views0 Downloads0 Citations
researchpp. 357–372

Assessment of Job Satisfaction of Civil Engineers Working in the Transportation Sector of Bagmati Province, Nepal

This is a quantitative study approach that aims to assess the job satisfaction among civil engineers employed in the Transportation Sector of Bagmati Province, Nepal. The Minnesota Satisfaction Questionnaire was used for the survey, and different analytical methods were used to look at the data. These included Principal Component Analysis (PCA), Structural Equation Modelling (SEM), and the Maximum Degree of Membership (MDM) principle for data analysis. The study found significantly low job satisfaction levels among transportation sector civil engineers. Four critical factors were identified…

Keywords
employee engagement job satisfaction Nepal transportation sector work culture work-life balance
0 Views0 Downloads0 Citations
researchpp. 373–388

Development of Active-Smart Packaging: Effect of Chitosan Nanofiber, Zinc Oxide Nanoparticles, and Anthocyanin on Gelatine-Based Halochromic Film for Meat Preservation

Gelatine-based smart active packaging has the potential to improve the quality of packaged meat and monitor its freshness without having to open it. This research aims to develop halochromic films by combining gelatine films with chitosan nanofibers (CHNF) and zinc oxide nanoparticles (ZnONPs). The addition of nanofillers such as CHNF and ZnONPs has been proven to improve mechanical properties (The humidity decreased by approximately 15.6%, while Young’s modulus increased tenfold) and provide active packaging properties, such as antioxidants (IC50 test decreased 13% from 33,12191 to 28,82021)…

Keywords
anthocyanin chitosan nanofiber clitoria ternatae gelatine packaging zinc oxide nanoparticles
0 Views0 Downloads0 Citations
researchpp. 389–406

Design and Test of a Secondary Shearing Device for the Lentinus Edodes Stem

To address the high labor intensity and low efficiency in the manual stem cutting of Lentinus edodes (shiitake mushrooms), A secondary shearing device was designed. This device automated the shearing and separation of mushroom roots and stems, significantly improving the efficiency of the stem-cutting process. Evaluated through indicators such as productivity, pass rate, and damage rate, a four-factor and three-level response surface test was conducted. The test factors included tool velocity, stem length, number of blades, and conveying velocity. Using Design-Expert 12.0 software to analyze…

Keywords
Agricultural mechanization Labor intensity reduction Lentinus edodes Lentinus edodes stem mushroom cultivation efficiency parameter optimization secondary shearing device shearing Shiitake mushroom processing tool velocity optimization
0 Views0 Downloads0 Citations
researchpp. 407–421

An Adaptive Multi-region Fusion Network for Dense Face Detection

In recent years, face detection has been widely applied in various intelligent monitoring systems. However, missed detections and low detection accuracy present challenges, such as small, blurred, and occluded faces in multi-face detection scenarios. To address these challenges, an adaptive multi-region fusion network is designed for dense face detection. First, in the shallow layers of the network, a multi-scale cross-stage fusion (MC4f) module is designed to replace the C3 module, which solves the issue of gradient explosion or disappearance in deep networks and promotes the effective…

Keywords
face detection facial key point localisation small-blurred faces multi-scale adaptive fusion
0 Views0 Downloads0 Citations
researchpp. 422–430

Improving Myoelectric Hand Gesture Recognition using Multiple High-density Maps

The identification of human motion intention through electromyography (EMG) signals is an important area of development in human–robot interaction. This technology aids amputees in controlling their prosthetic limbs in a more intuitive manner, facilitating the execution of daily activities. However, hand amputees face challenges in using dexterous prostheses due to control difficulties and low robustness in real-life situations. This study aims to enhance the accuracy of EMG gesture recognition by extracting spatial characteristics via multiple high density (HD) maps. A total of five HD-maps…

Keywords
hand gesture classification HD-map machine learning classifiers Myo armband spatial features
0 Views0 Downloads0 Citations

No articles match the selected filter or search query.

Call for Papers

Submit Your Manuscript for the Next Issue

Contribute original research, review articles, and scholarly perspectives for our upcoming issue. Manuscripts will be handled through a structured editorial screening and peer-review workflow.

Call for Papers is open
Peer Reviewed DOI Assigned Open Access Indexing Ready