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International Journal of Engineering Continuity
Published by Sultan Publisher
ISSN : -     EISSN : 29632390     DOI : https://doi.org/10.58291/ijec
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering
The International Journal of Engineering Continuity is peer-reviewed, open access, and published twice a year online with coverage covering engineering and technology. It aims to promote novelty and contribution followed by the theory and practice of technology and engineering. The expansion of these concerns includes solutions to specific challenges of developing countries and addresses science and technology problems from a multidisciplinary perspective. Published papers will continue to have a high standard of excellence. This is ensured by having every papers examined through strict procedures by members of the international editorial board. The aim is to establish that the submitted paper meets the requirements, especially in the context of proven application-based research work.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 64 Documents
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Analysis of Determining Holding Area for Flights: Case Study of Halim Perdanakusuma Airport Kariani, Rika; Arief, Syachroel; Gemilang Gultom, Rudi Agus; Briliano, Bagas; Tampubolon, Stefanus Binoto; Supriyadi, Asep Adang
International Journal of Engineering Continuity Vol. 4 No. 1 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i1.313

Abstract

This study analyzes the determination of holding areas for flights at Halim Perdanakusuma Airport, which serve as temporary zones for aircraft during delays in departure or arrival. With increasing flight activities, optimizing holding areas is essential to ensure smooth airport operations. The study integrates weather radar and rainfall data with evaluations of airport operational capacity and flight safety considerations. This approach identifies optimal holding area locations by accounting for rainfall intensity, visibility, and weather disruptions. Key findings highlight that using weather radar for predictive analysis can significantly reduce delays and enhance safety in challenging weather conditions. The contribution of this research lies in proposing a data-driven methodology for holding area management that can be applied to airports facing similar challenges. This approach not only supports better decision-making but also offers practical strategies for adapting to dynamic weather conditions. Future research could explore incorporating advanced technologies, such as artificial intelligence, to further refine predictive capabilities and expand the scope of analysis to multiple airports.
Predicting Water Levels from Environmental Parameters Using Random Forest Models Anggraini, Arum Putri Kusuma; Trismadi, Trismadi; Adang Supriyadi, Asep
International Journal of Engineering Continuity Vol. 4 No. 1 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i1.314

Abstract

Real-time monitoring of sea water levels is essential for maritime safety, coastal management, and disaster mitigation. This study addresses the challenges of sensor dependency and environmental vulnerability in traditional monitoring systems by proposing a machine-learning-based soft sensor. A Random Forest model was developed to predict sea water levels using atmospheric parameters such as barometric pressure, temperature, and relative humidity, leveraging data collected over seven months at one-minute intervals from a Marine Automatic Weather Station (AWS) in Tanjung Priok, Indonesia. Data preprocessing included outlier removal, normalization, and temporal feature extraction. The model achieved a high correlation coefficient (R = 0.8415) and low error metrics (MSE = 0.0209, RMSE = 0.1448), demonstrating robust predictive performance. The findings confirm the model's ability to capture tidal patterns and its potential to complement or replace physical sensors in harsh maritime environments. This research contributes to the field by improving monitoring resilience and reducing dependency on hardware sensors. Future work will explore integrating additional environmental variables, temporal modeling techniques, and hybrid approaches to further enhance prediction accuracy and robustness.
Stress Analysis and Safety Factors of Hand-rail Hoppers Based on the FEA Method Hindroyuwono, Rinto; Marvianto, Rachmat Anggi; Anjani, Siti Sarah; Pamungkas, Muhammad Bintang; Arafat, Yunus Bakhtiar
International Journal of Engineering Continuity Vol. 3 No. 2 (2024): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v3i2.318

Abstract

Ensuring handrails structural integrity and safety in industrial hopper systems is crucial for worker protection and operational efficiency. This study investigates handrail systems design, stress analysis, and safety factors using Finite Element Analysis (FEA) via SolidWorks. Observations of existing systems revealed deficiencies such as improper welding techniques and unstable mounting, which were addressed through an improved modular handrail design that incorporated standardized dimensions, full-welded joints, and clamped baseplates. The methodology included a comprehensive simulation of the static loads, stress distributions, and deformation patterns validated through physical load testing. Results demonstrated significant improvements, with a reduction in the maximum stress by 25% and deformation by 40%, yielding a safety factor of 1.85. The findings confirm compliance with the industrial safety standards and highlight the robustness of the proposed design. This research contributes to advancing workplace safety through a replicable framework that combines simulation and empirical validation, offering broader applicability to safety-critical industrial components.
Development of Fuzzy Algorithm as Mobility Aid for Blind Person Using Two Sensor Points: Visual Aid for Blind Person Supriyadi, Tata; Solihin, Ridwan; Habinuddin, Endang; Sudrajat, Sudrajat
International Journal of Engineering Continuity Vol. 3 No. 2 (2024): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v3i2.336

Abstract

White canes are an ideal choice for blind person to do independent mobility because of its relatively cheap price. However, whitecane has the disadvantage of only being able to identify objects in front of it when they have been touched and cannot provide a choice of direction. This study developed a prototype whitecane with a feature that can provide a choice of direction based on the results of identifying the distance of the object to its user. This prototype was designed and implemented using two ultrasonic sensors installed on the stick as a replacement for the spatial sensing system. Both distance data from the sensors are processed in the Arduino Nano microcontroller to carry out the Fuzzy process stages. Fuzzy input process, rule-based Fuzzy inference, and Defuzzification for decision output. The results of the decision are translated into voice information to the user. Experiments with three scenarios showed that the utilization of the system with constant contact O&M technique showed a success rate of 100% while the other two techniques were only 33.3%. So the constant contact O&M technique can support effective mobility for the use of assistive aids and can be developed into a new technique.
Optimization of Plasma Surface Modification for PET and PP Using Corona Treater in Microfluidic Applications Dharmesta, Jefri; Baiquni, Mohamad; Ibadi, Mahfud; Whulanza, Yudan
International Journal of Engineering Continuity Vol. 4 No. 1 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i1.338

Abstract

Plasma surface modification has proven to be an effective technique for enhancing the wettability and adhesion properties of polymeric materials, particularly in microfluidic applications. This study investigates the effects of corona plasma treatment on the surface properties of polyethylene terephthalate (PET) and polypropylene (PP) by analyzing surface roughness and contact angle measurements. Plasma treatment durations of 0, 30, 60, 120, and 180 seconds were applied to both materials. Scanning Electron Microscopy (SEM) revealed significant microstructural changes, with increased surface roughness and the formation of micro/nano-textures, enhancing fluid interaction. Contact angle measurements further confirmed the improved wettability, with PP decreasing from 96° (untreated) to 42° (180s plasma exposure), and PET from 93° to 18°, demonstrating PET’s superior retention of hydrophilic properties. However, excessive plasma exposure led to over-etching effects, particularly in PP, affecting surface uniformity. The results highlight the effectiveness of corona plasma treatment in enhancing the functionality of PET and PP for microfluidic applications, with PET exhibiting greater long-term stability. These findings provide valuable insights into the role of plasma modification in improving polymer surface properties, paving the way for advancements in biomedical and analytical microfluidic device fabrication.
Ensemble Combination of CNN for MRI-Based Brain Tumor Classification Sidqi, Akbar; Budi Santoso, Irwan; Harini, Sri
International Journal of Engineering Continuity Vol. 4 No. 1 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i1.357

Abstract

Classifying 17 types of brain tumors remains a major challenge in the medical field, especially in improving diagnostic accuracy and accelerating patient care. This study proposes a CNN-based model with an ensemble combination approach to improve accuracy by integrating multiple architectures through Majority Voting and Weighted Average for more reliable predictions. The models are evaluated using accuracy, precision, recall, and F1-score metrics. The results show that CNN3 with Nadam achieves the best performance (accuracy: 0.90–0.91), outperforming CNN1 (0.87–0.89) and CNN2 (0.82–0.87). The ensemble combination improves accuracy across all models, with CNN3 achieving the highest accuracy (0.96), followed by CNN1 (0.94–0.95) and CNN2 (0.91–0.92). This study demonstrates that the ensemble combination approach can improve the performance of brain tumor classification using deep learning, contributing to faster and more accurate medical diagnosis. Furthermore, these findings open up opportunities for further research in advancing brain tumor detection systems.
Evaluation of Rainfall Intensity and the Effectiveness of Green Infrastructure in Urban Water Management: A Case Study of the University of Kadiri Siswanto, Eko; Susanto, Sony; Rahmawaty, Fitry
International Journal of Engineering Continuity Vol. 4 No. 1 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i1.364

Abstract

Urban flooding in tropical regions like Indonesia is increasingly critical due to rapid urbanization and climate change, leading to reduced infiltration and overloaded drainage systems. This study analyzes rainfall intensity and drainage capacity at Kediri University using 15 years of daily maximum rainfall data and four statistical distributions Gumbel, Pearson Log III, Normal, and Log-Normal. Goodness-of-fit tests identify Pearson Log III as the best model for design rainfall estimation. Runoff discharge is calculated via the Rational Method and compared to the existing drainage capacity, revealing insufficient infrastructure for rainfall events with return periods over 10 years. To address this, the study evaluates infiltration wells as green infrastructure solutions, demonstrating their effectiveness in reducing runoff and enhancing groundwater recharge. This integrated approach bridges the gap between statistical rainfall modeling and practical drainage performance assessment in localized tropical urban contexts. The results offer actionable insights for sustainable stormwater management and flood mitigation on university campuses and similar settings, contributing both theoretically and practically to urban water management under evolving climatic challenges.
Evaluating the Damage Cost of Vehicle to Grid Integration in Indonesia Power Grid for Sustainable Energy System Sesotyo, Priyo Adi
International Journal of Engineering Continuity Vol. 4 No. 1 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i1.368

Abstract

The cost incurred in the EV Charging is currently only from the energy consumed consideration. While there is extensive research on the impact of EV charging on grid infrastructure and operation, few studies quantify these effects in terms of explicit 'damage costs'. However, besides energy problems, the analysis of the environmental impact of EVs has not been quantified monetarily. This paper aimed to investigate the damage cost (DC) of EVs in comparison with Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs) based on Indonesia Java Bali's grid conditions. Using the existing data in Indonesia, the characterisation parameter were determined using cradle-to-gate life cycle analysis (LCA) and ReCiPe 2016 then converting the endpoint indicators impacts to DC using a monetary weight factor (MWF) of those two EVs. Cradle to gate LCA is a method for evaluating the environmental impact of battery from the extraction of raw material to the factory gate and ReCiPe 2016 is a widely used of LCA method, which converts emission and resources extraction into certain indicators. Results show that DC for a 20 kWh BEV = 0.12 ± 0.01 USD/kWh compared to an 8 kWh PHEV = 0.08 ± 0.005 USD/kWh. Therefore, the DC of an extra 0.02 USD/kWh for BEVs and 0.015 USD/kWh for PHEVs should be considered in formulating the EV charging tariff.
Evaluating of DC-DC Buck-Boost Converter implementation for Integrated Solar Photovoltaic and Thermoelectric Cooler System Sesotyo, Priyo Adi; Muhamad Idris, La Ode; Dwi Cahyono, Taufik; Sadewa, Ery
International Journal of Engineering Continuity Vol. 4 No. 1 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i1.372

Abstract

The growing demand for compact, efficient, and eco friendly cooling solutions has driven research into integrating thermoelectric coolers (TECs) with solar photovoltaic (PV) systems, where solar irradiance variability impacts cooling efficacy and energy efficiency. This challenge is addressed using DC-DC Buck-Boost converters whose performance is heavily influenced by control strategies such as Proportional Integral Derivative (PID) controllers employing tuning approaches that balance performance and prioritize disturbance rejection. This study investigates the implementation and performance of a DC-DC buck-boost converter in a solar photovoltaic and thermoelectric cooling (PV-TEC) system. Simulation-based analysis compared tuning methods for their ability to maintain thermal stability, reduce electrical input fluctuations, and enhance the TEC's Coefficient of Performance (COP). Results show that the PID controller significantly improves responsiveness and energy efficiency in dynamic solar conditions, achieving a 23% reduction in power consumption and a 36% increase in COP, highlighting the importance of adaptive control strategies.
Design and Implementation of FTTB Network Transmission in High-Rise Buildings Using GPON Yuhani, Ahmad; Haryatmi, Emy; Haryadi, Deni; Arafat, Yunus Bakhtiar
International Journal of Engineering Continuity Vol. 4 No. 1 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i1.375

Abstract

The advancement of digital communication technology has significantly increased the demand for reliable network infrastructure, particularly in high-rise buildings such as hotels and resorts. This study aims to design and evaluate a Fiber To The Building (FTTB) network system based on Gigabit Passive Optical Network (GPON) technology at The Anvaya Beach Resort Bali. The system is designed to distribute integrated communication services including data voice, and video, through a zoning approach based on the functional layout of the building. The Waterfall method is employed in the system development, encompassing the stages of requirement analysis, topology design, field implementation, and optical performance testing. The findings indicate that most zones have optical attenuation values within the standard range (15–28 dB), and the received signal power remains within the acceptable threshold (-28 dBm). However, several areas exhibit suboptimal signal performance, particularly those with long distribution paths and a high number of optical splitters. Zone C1.1 demonstrates the best performance, with stable attenuation levels and signal strength within standards, without requiring additional active devices. The study concludes that a GPON-based FTTB system can efficiently and flexibly meet the data communication needs of high-rise buildings and other complex building environments with similar systems.

Page 5 of 7 | Total Record : 64

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