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International Journal of Environment, Engineering, and Education
Published by Three E Science Institute
ISSN : -     EISSN : 26568039     DOI : https://doi.org/10.55151/ijeedu
Core Subject : Science, Education, Social, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Environmental Science
The International Journal of Environment, Engineering, and Education [e-ISSN: 2656-8039] is a peer-reviewed, open-access journal that is published three times a year [in April, August, and December]; this journal provides the right platform for authors to update their knowledge, information, and share their research results with the more significant scientific community publishing research articles explaining the ecological, technical, and educational impact of research from various disciplines publishing research articles explaining the environmental, technical, and educational implications of research from multiple disciplines publishing research As an interdisciplinary scientific publication, this journal encourages collaboration between researchers, academics, practitioners, and policymakers in various sectors to develop sustainable solutions to address environmental, engineering, and educational problems and promote sustainable development.
Arjuna Subject : Umum - Umum
Articles 9 Documents
 1 
Search results for , issue "Vol. 8 No. 1 (2026)" : 9 Documents clear
Predictive Modeling of NaOCl Dosage for Iron Removal in a Combined Aeration–Oxidation System Using Gene Expression Programming Alsaeed, Ruba Dahham; Aljaddou, Heba; Shehab, Diala; Alaji, Bassam; Salloum, Durgam
International Journal of Environment, Engineering and Education Vol. 8 No. 1 (2026)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v8i1.235

Abstract

Iron is one of the most prevalent groundwater contaminants and can cause significant aesthetic, operational, and infrastructural problems when present at elevated concentrations. This study aims to (i) experimentally evaluate the effects of pH, dissolved oxygen (DO), and sodium hypochlorite (NaOCl) dosage on iron removal efficiency, and (ii) develop an interpretable Gene Expression Programming (GEP) model to predict the optimal NaOCl dose under varying water-quality conditions. Laboratory jar test experiments demonstrated that iron oxidation is strongly pH-dependent, with maximum removal efficiency (up to 99%) achieved under acidic conditions (pH 4) at a NaOCl dose of 6 mg/L due to hypochlorous acid predominance. Under practical near-neutral conditions relevant to drinking-water treatment (pH 6.5–7.5), aeration alone enhanced iron removal as DO increased, although diminishing returns were observed beyond 6 mg/L DO because of increased energy demand. A combined treatment strategy involving low-dose pre-chlorination followed by aeration exhibited a clear synergistic effect, achieving iron removal efficiencies of approximately 85–89% using NaOCl doses of 1–3 mg/L and DO levels of 4–5 mg/L. This approach reduced overall operational costs by approximately 40% compared with aeration-only treatment. The developed GEP model showed strong predictive performance (R² = 0.94; RMSE = 0.34 mg/L) and generated explicit mathematical expressions linking oxidant demand to pH, DO, and influent iron concentration. Overall, the study confirms the technical and economic advantages of pre-chlorination combined with aeration and highlights the potential of GEP as a transparent decision-support tool for optimizing groundwater iron removal.
A Polya-Aligned Prompting Protocol for ChatGPT Scaffolding: Evidence from Eighth-Grade Systems-of-Linear-Equations Problem Solving Malik, Marwati Abd.; Lince, Ranak; Husnaeni, Husnaeni
International Journal of Environment, Engineering and Education Vol. 8 No. 1 (2026)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v8i1.331

Abstract

Generative artificial intelligence offers new opportunities to scaffold students’ mathematical reasoning, yet rigorous evidence of its impact on secondary students’ problem-solving remains limited. This study examined whether ChatGPT-driven adaptive learning improves eighth-grade students’ problem-solving performance on systems of linear equations in two variables (SPLDV) compared with conventional instruction. A pre–post-test control-group design was implemented with 47 eighth-grade students in Parepare, Indonesia (experimental n = 24; control n = 23) during the 2024/2025 academic year. The experimental group used ChatGPT as an adaptive tutor aligned with Polya’s stages (understand, plan, execute, look back) through guided prompts, hints, and feedback. In contrast, the control group received a lecture and practice. Students completed a six-item contextual SPLDV test scored with a Polya-based rubric. Between-group differences were tested on post-test scores and normalized gains after verifying normality and homogeneity assumptions. The experimental group achieved higher post-test performance (M = 68.33) than the control group (M = 59.57), with a significant difference (p = 0.019; η² = 0.117). Learning gains were also larger in the experimental group (mean N-gain = 0.34, medium) than in the control group (0.21, low; p = 0.001; η² = 0.372). Indicator-level patterns suggested the greatest improvements in understanding the problem and carrying out the plan, whereas devising a plan remained the most challenging stage in both groups. These findings indicate that ChatGPT-based adaptive scaffolding can enhance students’ mathematical problem-solving on SPLDV, but explicit teacher-guided routines are needed to strengthen strategic planning and the critical evaluation of AI outputs.
Engineering Design and Prototyping of an Automated Shuttlecock Feeder with Programmable Court-Zone Targeting Punithan, P. E.; Ramakrishnan, R.; Nallavan, G.; Jayanarasimhan, K.
International Journal of Environment, Engineering and Education Vol. 8 No. 1 (2026)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v8i1.335

Abstract

Manual multi-shuttle badminton drills can introduce variability in feeding rate and placement, reducing training standardization and complicating objective evaluation. Automated, programmable feeding with zone-based metrics can address this limitation. To design and validate a low-cost, automatic nine-shot shuttlecock feeder that delivers shuttlecocks to predefined court zones with controllable speed, direction, and timing. The prototype combined a wooden frame with 3D-printed dropper/ejector components and a dual-wheel launcher fixed at 30°. An ESP32 coordinated two DC motors (launch wheels) and three servomotors (dropper, ejector, and horizontal aiming). Nine-shot programs targeted a 3×3 court grid (left/center/right × front/mid/rear). The feeder was mounted 1.10 m above an indoor regulation court and 1.30 m from the net. For each zone, 12 feather shuttlecocks were launched (108 trials). Dual-camera video (60–120 fps) captured trajectory and top-view landings; Dartfish tagging and planar-homograph calibration converted pixel coordinates to court distances (mean spatial error <3%). All nine programs were executed successfully and produced distinct zone-specific landing distributions. Landing-distance variability was low (coefficient of variation <12% across programs), indicating strong repeatability under fixed settings; rear-court programs showed longer mean distances with similarly tight dispersion. Feeding reliability was 100% across 108 launches, with no blocking, double-feeding, or missed shots. Flight time and estimated near-field launch speed changed consistently with the programmed motor settings. The proposed feeder enables repeatable, structured multi-shuttle training and provides a practical framework for quantifying zone-delivery performance, with future work directed toward refining closed-loop targeting.
Exploring Energy Efficiency and User Attitudes toward Green Energy Implementation in University Buildings Syah, Nurhasan; Haq, Syaiful; Ashar, Faisal; Arbi, Yaumal
International Journal of Environment, Engineering and Education Vol. 8 No. 1 (2026)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v8i1.362

Abstract

The global push for sustainable development has intensified the need to improve energy efficiency in higher education buildings, particularly in hot–humid tropical climates where cooling demand dominates electricity use. This study examines how occupant perceptions, environmental attitudes, and energy-related behaviors relate to measured building energy performance in a tropical university building, using a convergent parallel mixed-methods design. An ASHRAE Level 1–based energy audit (aligned with Indonesia’s MEMR Regulation No. 13/2012) profiled electricity consumption by end-use systems and was complemented by a 38-item questionnaire and semi-structured interviews with students, lecturers, and administrative staff. The audit estimated total annual electricity consumption of 366,897.7 kWh/year, corresponding to an average Energy Use Intensity (EUI) of 17.34 kWh/m²/month, and associated emissions of 285,108.85 kgCO₂eq. Cooling/HVAC accounted for the largest share of electricity use (≈55%), followed by plug loads/equipment and lighting. Survey results indicated generally high pro-environmental attitudes; however, quantitative associations between aggregated floor-level perceptions/behaviors and electricity use were exploratory, given the limited number of analytic units (four floors/zones). Still, floor-level correlations consistently suggested negative relationships between behavioral variables and energy consumption, with expectations toward green-energy practices showing a particularly strong inverse association (r = –0.968). Qualitative findings highlighted practical operational and behavioral drivers such as temperature setpoints, schedule discipline, and equipment shutdown practices, pointing to actionable opportunities for demand reduction. Overall, the study contributes an integrated audit–behavior perspective to support occupant-centered interventions, green-campus policy alignment, and sustainability-oriented learning activities for long-term low-carbon campus development in hot–humid contexts.
Perceived Security and Trust as Mechanisms of P2P Adoption Technology: Evidence from Pre-Adopters Using PLS-SEM Approach Wijaya, Indra Dharma; Salam, Rudi; Ghozi, Saiful; Mubarok, Faiz Ushbah; Subkhan, Muhamad Fajar
International Journal of Environment, Engineering and Education Vol. 8 No. 1 (2026)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v8i1.373

Abstract

Peer-to-peer (P2P) lending can expand working-capital access for micro-entrepreneurs, yet borrowing via digital platforms heightens perceived vulnerability due to sensitive data disclosure and binding repayment obligations. This study examines how perceived security and trust shape adoption intention in a high-stakes fintech context by extending the Technology Acceptance Model (TAM) and testing whether security and trust transmit the effect of perceived usefulness to intention. Using an explanatory cross-sectional design, we collected offline-administered survey data from 204 Indonesian micro-entrepreneurs who had not previously adopted P2P lending to capture pre-adopter perceptions better and reduce digital-selection bias. The model was estimated using PLS-SEM 3. The results indicate that all hypothesized relationships are positive and statistically significant. Perceived usefulness significantly enhances perceived security (β = 0.562) and trust (β = 0.259), while perceived security exerts a strong positive effect on trust (β = 0.517). Intention to use P2P lending is directly influenced by perceived security (β = 0.337), trust (β = 0.213), and perceived usefulness (β = 0.208). Mediation analysis confirms that perceived security (β = 0.189) and trust (β = 0.055) partially mediate the effect of perceived usefulness on intention to use. The model explains 42.4% of the variance in intention to use (R-squared = 0.424) and demonstrates adequate predictive relevance (Q-squared = 0.263). Overall, perceived security emerges as the most influential determinant of adoption intention, underscoring the importance of security-by-design features, transparent governance, and robust consumer-protection frameworks in fostering trust and accelerating P2P lending adoption among micro-entrepreneurs.
Technology-Supported Student-Centered Science Learning and Digital Competence Development in Upper Secondary Classrooms Nhi, Vo Doan Yen; Long, Le Thai Minh
International Journal of Environment, Engineering and Education Vol. 8 No. 1 (2026)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v8i1.426

Abstract

Digital competence is increasingly recognized as a core outcome of science education, yet evidence remains limited. This study examined whether technology-supported science instruction was associated with stronger multidimensional digital competence than conventional instruction and explored how seven competence dimensions were structurally related. A quasi-experimental pretest-posttest non-equivalent control group design was conducted with 180 Grade 11 students from four intact classes in two public schools. Over eight weeks, the experimental group engaged in inquiry- and project-based digital science learning, whereas the comparison group received instruction. Digital competence was assessed using a 28-item questionnaire and seven performance-based tasks. The experimental group showed larger gains across all dimensions, with significant baseline-adjusted differences across all outcomes (all p < 0.001) and moderate-to-large effects (partial η² = 0.26-0.29). More importantly, the pattern suggests that technology-supported student-centered science learning is associated not only with stronger technical performance but also with an integrated competence profile spanning information handling, data interpretation, communication, collaboration, problem-solving, creativity, and operational fluency. The structural findings further suggest that information literacy and digital communication may function as foundational competencies supporting analytical, collaborative, technical, and creative performance, with the strongest pathway from Digital Communication Skills to Collaborative Technology Use (β = 0.58). These findings imply that digital competence in science is best fostered when digital tools are embedded in inquiry, communication, collaboration, and production tasks rather than taught as isolated technical skills. Because the study involved only four intact classes, the findings should be interpreted as comparative and exploratory rather than definitive causal evidence.
Engineering-Oriented Transit QoS and Perceived Value: Predicting Passenger Satisfaction and Behavioral Intentions in Urban Public Transport Subkhan, Muhamad Fajar; Astuti, Endang Siti; Kusumawati, Andriani; Sunarti, Sunarti
International Journal of Environment, Engineering and Education Vol. 8 No. 1 (2026)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v8i1.427

Abstract

The integration of technology into education has garnered significant interest, particularly for its potential to support environmental sustainability. Urban bus and bus rapid transit (BRT) systems must deliver passenger-centered service quality that is both measurable for operators and meaningful to users. However, service-quality research often relies on generic perceptual scales that are difficult to translate into actionable operational interventions. This study advances an engineering-oriented Stimulus–Organism–Response (S–O–R) framework by conceptualizing Transit Engineering Quality of Service (TE-QoS) as an actionable stimulus and examining its relationships with perceived value, satisfaction, and behavioral intention in the context of urban bus services in Indonesia. Data were collected through an offline intercept survey of Trans Jatim passengers in the Surabaya metropolitan area between June and July 2024, yielding 300 valid responses for analysis. Using CB-SEM (AMOS), the measurement model demonstrated satisfactory reliability and validity. The structural results indicate that perceived value strongly predicts satisfaction (β = 0.698, p < 0.001), whereas TE-QoS exerts a positive, though comparatively modest, direct effect on satisfaction (β = 0.122, p = 0.017). Satisfaction, in turn, strongly predicts behavioral intention (β = 0.700, p < 0.001). The Model explains 50.2% of the variance in satisfaction and 48.9% of the variance in behavioral intention. These findings suggest that operational improvements in reliability, regularity, travel-time efficiency, access, comfort, information, and safety are more likely to strengthen loyalty-related intentions when passengers perceive them as clear gains in value. Future research should integrate objective operational data and formally examine indirect mediation pathways.
Explaining Post-Adoption Mobile Banking Usage in Indonesia Using an Integrated Technology Acceptance Model and IS Success Model: Evidence from PLS-SEM Wardani, Rr. Tri Istining; Astuti, Endang Siti; Sunarti, Sunarti; Iqbal, Mohammad
International Journal of Environment, Engineering and Education Vol. 8 No. 1 (2026)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v8i1.372

Abstract

Mobile banking has become a primary channel for retail financial services in emerging economies; however, prior research has focused predominantly on initial adoption intention rather than post-adoption usage behavior. This study addresses that gap by integrating the Technology Acceptance Model and the DeLone and McLean IS Success Model to explain post-adoption mobile banking usage in Indonesia. A quantitative cross-sectional survey was conducted with 544 active users of mobile banking applications from four Indonesian state-owned banks, and the data were analyzed using PLS-SEM. The results indicate that perceived ease of use significantly enhances perceived usefulness (β = 0.549, t = 14.213, p < 0.001). In turn, perceived usefulness (β = 0.192, p < 0.001), system quality (β = 0.247, p < 0.001), information quality (β = 0.225, p = 0.001), and service quality (β = 0.195, p < 0.001) positively affect user satisfaction. User satisfaction, in turn, emerges as the strongest direct predictor of self-reported actual usage (β = 0.523, t = 12.044, p < 0.001). The model explains 30.2% of the variance in perceived usefulness, 51.2% of the variance in user satisfaction, and 27.3% of the variance in actual usage. These findings indicate that post-adoption mobile banking usage is shaped not only by cognitive acceptance beliefs but also by users’ evaluations of system performance, information quality, and service support. This study contributes to post-adoption digital banking research by demonstrating that satisfaction is the central evaluative mechanism linking acceptance beliefs and service-quality perceptions to sustained behavioral usage.
Effect of Vortex-Generator Planform and Height on the Trade-Off between Lift Enhancement and Wake Contraction around a Circular Cylinder Jayanarasimhan, Karthik; Balasubramanian, Navin Kumar; Sundaram, Nagaraj Meenakshi; Sankari, M. Siva
International Journal of Environment, Engineering and Education Vol. 8 No. 1 (2026)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v8i1.425

Abstract

Passive flow control of circular-cylinder wakes remains important because wake organizations govern aerodynamic loading, force fluctuations, and vortex-induced response. This study examines how vortex-generator (VG) planform and height affect lift behavior and near-wake structure around a circular cylinder. Triangular and ogival VGs with heights of 4, 7, and 10 mm were mounted at the cylinder apex and evaluated using three-dimensional transient URANS simulations with the SST k–ω model at Re = 53,000. Supporting wind-tunnel force measurements were also performed to assess whether the numerical trends were qualitatively reproduced experimentally. All VG-equipped configurations reduced the recirculation region, narrowed the wake, and decreased the centerline velocity deficit relative to the clean cylinder. Among the triangular cases, the 10 mm VG produced the strongest wake contraction, reducing the recirculation length from 1.35D to 0.70D. Among the ogival cases, the 10 mm VG generated the highest peak lift coefficient (approximately 1.45), although its wake contraction remained slightly weaker than that of the corresponding triangular configuration. These results show that the geometry yielding the strongest wake suppression is not identical to that giving the highest lift enhancement. The wind-tunnel measurements reproduced the overall ranking trends. However, because the experimental inflow conditions were not Reynolds-number matched to the numerical setup, the comparison is interpreted as qualitative trend support rather than strict validation. The results demonstrate that the VG planform and height jointly control the trade-off between wake contraction and lift enhancement.

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