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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 75 Documents
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A Hybrid Neural Network and Sugeno-Type Fuzzy Approach for Object Classification to Assist Navigation of Visually Impaired Individuals Using Ultrasonic Sensor Arrays Ridwan Solihin; Rahmawati Hasanah; Budi Setiadi; Tata Supriyadi; Sudrajat Sudrajat; R Wahyu Tri Hartono
International Journal of Engineering Continuity Vol. 4 No. 2 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i2.416

Abstract

This study proposes a hybrid neural network that integrates a multilayer perceptron (MLP) with optimised Sugeno-type fuzzy reasoning for object classification. The system employs a vertically mounted array of ultrasonic sensors arranged 10 cm apart at heights ranging from 80 cm to 180 cm. Each sensor measures the distance of passing objects, producing eleven readings that capture vertical distance patterns. These readings are processed by an MLP with a single hidden layer of 22 neurones to identify characteristic spatial signatures. A refined similarity-based classification is then performed using an optimised Sugeno-type fuzzy inference system configured with five linguistic variables: Very Low (VL), Low (L), Medium (M), High (H), and Very High (VH). Training and testing were conducted using datasets collected at SLBN-A Citeureup, Cimahi, comprising two object categories: human (visually impaired individuals) and nonhuman (inanimate objects). The model was trained for 100 epochs with a learning rate of 0.001. Experimental results show accuracy exceeding 90%, with the hybrid model outperforming the conventional MLP by 1.83%. This improvement reduces false positives and prevents erroneous obstacle warnings. The integration of fuzzy reasoning also enhances the system's robustness to uncertainty and stabilises decision-making when class boundaries overlap.  
Comparative Study of PSO, GA, and ACO for Optimizing Dielectric Performance in Fly Ash Filled Silicone Rubber Andi Amar Thahara; Christiono Christiono; Miftahul Fikri; Iwa Garniwa M. K.; Mohammad Wirandi
International Journal of Engineering Continuity Vol. 4 No. 2 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i2.439

Abstract

This study investigates the optimization of coal fly ash composition as a filler in Silicone Rubber (SiR) insulator materials, aiming to enhance their dielectric characteristics. Compositional optimization was achieved by evaluating and comparing three advanced meta-heuristic algorithms Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Ant Colony Optimization (ACO), using the Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) as performance metrics. The utilized fly ash, containing dominant silica, alumina, and iron oxides, was directly incorporated into the SiR matrix. Results indicate that, compared to PSO, GA and ACO exhibited superior performance and consistency. Specifically, for Relative Permittivity, the optimal composition of 80% yielded the lowest errors with GA and ACO (RMSE = 0.0751; MAPE = 0.9044). For Hydrophobicity, these two algorithms showed superior accuracy in the RMSE metric (RMSE = 0.8883) at 15.39% loading. These findings underscore the scientific contribution of this study by establishing the superior reliability of GA and ACO for optimizing fly ash composition in SiR, thus providing a robust analytical methodology to advance the use of industrial waste for high-performance dielectric materials.
Analysis of Pressure Drop in Clean Water Piping Installation Using Revit Software Soibatul Aslamia; Deni Haryadi; Komarudin Komarudin
International Journal of Engineering Continuity Vol. 4 No. 2 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i2.405

Abstract

Clean water piping systems in industrial facilities must be designed to ensure adequate residual pressure at all outlets while minimizing energy losses. One critical factor influencing system performance is pressure drop, which results from both friction in straight pipes and localized losses in fittings, valves, and other components. This study analyzes the pressure drop in the clean water distribution network of PT XYZ, Kendal Industrial Estate, using two approaches: manual calculation based on the Darcy–Weisbach equation with total loss coefficients, and simulation using Autodesk Revit’s Pressure Loss Report tool. The manual calculation yielded a total pressure drop of 2.30 bar (≈ 23.0 mH₂O) along the critical path, with approximately 72% of the loss originating from fittings and 28% from pipe wall friction. The Revit simulation produced a total pressure drop of 2.10 bar (≈ 21.4 mH₂O) for the same route, resulting in a deviation of 8.7%, which is within the accepted tolerance of ±10% for BIM-based hydraulic validation. The results demonstrate that Revit can reliably model hydraulic performance when accurate material, dimension, and fixture data are provided. The findings emphasize that optimization strategies should focus on reducing localized losses by minimizing fittings, improving pipe routing, and increasing branch diameters in high-velocity sections. These measures can enhance residual pressure, improve system efficiency, and reduce pump energy requirements. The study validates the use of Autodesk Revit as an effective tool for preliminary hydraulic analysis in compliance with SNI 03-6481-2000, while confirming the importance of manual validation during the design process.
Integration of BERT and LSTM for Predicting Cybersecurity Service Trends Based on LinkedIn Data Mohamad Firdaus; Yasep Azzery; Dimaz Arno Prasetio
International Journal of Engineering Continuity Vol. 4 No. 2 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i2.424

Abstract

The analysis and prediction of evolving cybersecurity service demands are constrained by existing methodologies, which are either semantically shallow (keyword-based TF-IDF) or contextually limited (standalone LSTM time-series models that overlook textual meaning). To bridge this scientific gap, this study develops and validates an integrated artificial intelligence framework combining Bidirectional Encoder Representations from Transformers (BERT) for deep semantic analysis and Long Short-Term Memory (LSTM) for sequential trend prediction. This pipeline is applied to a large-scale corpus of cybersecurity job descriptions collected from LinkedIn, serving as a proxy for real-world market intelligence. The methodology utilizes BERT embeddings (768-dimensional) for nuanced feature extraction, which are then combined with pseudo-temporal segmented data (proxy timeline) to enable sequential forecasting via the LSTM component. Experimental results confirm the model's robustness, the BERT component achieved 89% classification accuracy (87% precision, 88% recall) in service categorization, significantly outperforming baseline methods such as TF-IDF (which typically achieve below 75% accuracy). The LSTM component demonstrated strong predictive capability for trend forecasting, achieving a Root Mean Squared Error (RMSE) of 0.12. These findings validate the technical viability of the unified BERT-LSTM architecture for capturing both contextual and sequential patterns in professional data. The output provides organizations with objective, data-driven insights for strategic planning, thereby enhancing organizational resilience and market competitiveness in dynamic environments, particularly relevant for the Indonesian cybersecurity market.
Evaluation of WiFi Broadband Network on the Jabodetabek Commuter Line Eka Sartika Rosiana; Karijadi Karijadi; Makhdor Rosadi; Rivira Yuana; Taswanda Taryo; Lilly S Wasitova; Abdul Multi; Lukman Medriavin Silalahi
International Journal of Engineering Continuity Vol. 5 No. 1 (2026): IJEC
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v5i1.469

Abstract

This research evaluates the performance of WiFi networks based on the Universal Mobile Telecommunications System (UMTS) backbone on the Commuter Line (CL) to identify technical issues in providing stable internet services in public transportation with high mobility. The main gap lies in the inability of the existing infrastructure to maintain service continuity when the train is mobile compared to when it is immobile. This research uses an experimental method involving three testing scenarios (using a backbone modem, a signal measurement system, and a smartphone device); the study measures Quality of Service (QoS) parameters. Research results show that throughput passing through the UMTS backbone decreased by 16.8% to the DNS server and 12.68% to detik.com when the commuter line was in motion. Furthermore, packet loss passing through the UMTS backbone increased by 13.6% to the DNS server and 11.2% to detik.com when the commuter line was moving. Then, the round trip time passing through the UMTS backbone increased by 175.50% to the DNS server and 179.25% to detik.com when the commuter line was in motion. These results confirm that high mobility causes significant signal degradation, making current UMTS networks not yet capable of supporting users' broadband needs inside train carriages. The contribution of this research is is recommending a new infrastructure design in the form of optimizing BTS placement or using train repeaters to address interference. Therefore, the conclusion of this research is the need to strengthen transmission in the CL so that the WiFi implementation can achieve the expected reliability standards.
Evaluation of a Filament-Winding Composite and Aluminium 6061 Frame for Electric Vehicles Yunus Bakhtiar Arafat; Muhamad Fahmi As'ari; Rachmat Anggi Marvianto; Muhamad Hananuputra Setianto; Wahyu Sulistiyo
International Journal of Engineering Continuity Vol. 4 No. 2 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i2.443

Abstract

This study evaluates the structural performance of electric motorcycle frames made of 6061 aluminium alloy and filament winding-based composites using the Finite Element Method (FEM) approach. The main objective of this study is to compare the deformation response, stress distribution, and safety factors of both materials in the same frame geometry and loading conditions, so that the influence of material characteristics on structural behaviour can be analysed objectively. FEM simulations were performed with static loading representing vehicle operating conditions, while aluminium was modelled as isotropic and composite as orthotropic to capture its anisotropic properties. The analysis results show that filament winding composite chassis tend to have more controlled deformation and higher safety factors than 6061 aluminium alloy, although the stress distribution in composites shows sensitivity to fibre configuration and profile thickness. These findings indicate that fibre orientation plays an important role in directing structural stiffness and load distribution in composite chassis. However, the interpretation of stress results and safety factors in composites needs to be done carefully because the Von Mises criteria have limitations in representing anisotropic material failure. The main contribution of this research lies in presenting a controlled structural comparison between metal and filament winding composite materials, as well as confirming the potential and limitations of composites as materials for electric vehicle chassis.
Performance Analysis of an Integrated PV/T–TEC System with a PID enabled DC–DC Boost Converter for Photovoltaic Thermal Management Priyo Adi Sesotyo; La Ode Muhamad Idris; Taufik Dwi Cahyono; Ery Sadewa
International Journal of Engineering Continuity Vol. 4 No. 2 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i2.450

Abstract

The temperature-induced efficiency loss of 0.4% to 0.5% for every °C above 25 °C alongside the inherent variability in solar irradiance, poses a critical challenge to the efficiency and stability of Photovoltaic (PV) modules. This study addresses this limitation by developing and analyzing an Integrated Photovoltaic Thermal-Thermoelectric Cooler (PV/T–TEC) system designed for robust thermal management and enhanced energy yield. The proposed system utilizes a synergistic hybrid cooling mechanism: a passive PV/T air collector for bulk heat dissipation from the PV panel's rear surface, coupled with an active Thermoelectric Cooler (TEC) for precise temperature stabilization. The electrical energy flow is managed by a DC–DC Boost Converter employing a PID controller, with a focus on input disturbance rejection, ensuring the TEC operates at an optimal, stable power point.Simulation and performance analysis demonstrate the significant advantages of this hybridized approach. The PV/T air collector was confirmed as the primary thermal component, achieving a peak heat dissipation QEmit approximately 7.5 times greater than the TEC-only configuration. This strategic pre-cooling successfully stabilizes the TEC's hot-side temperature, enabling the TEC to operate with a low operational temperature differential ∆T and resulting in an exceptionally high calculated Effective System Coefficient of Performance COP peaking at 14.5. The system maintains a stable operating point during peak solar radiation, maximizing the Net Electrical Power Gain. In conclusion, the integration of passive PV/T cooling, active TEC cooling, and a PID-enabled DC–DC Boost Converter provides an exceptionally efficient and stable solution for PV thermal management. The research strongly supports the efficacy of this hybrid system for significantly improving the overall energy efficiency and sustainability of solar energy applications.
Application of 3Å Synthetic Zeolite as an Adsorbent to Reduce the Hygroscopicity of B40 Biodiesel Sovia El Rafiqa; Eddy Ibrahim; Muhammad Rendana; M. Taufik Toha; Maulana Yusuf; Rahmat Wahyudi Putra
International Journal of Engineering Continuity Vol. 4 No. 2 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i2.451

Abstract

This study investigates the effectiveness of synthetic 3Å zeolite and silica in reducing water content in B40 biodiesel, a high-FAME blend prone to moisture absorption. Adsorption tests were performed using varying adsorbent masses (1.5–7.5 g) and contact durations (60–180 minutes), with water content measured via Karl Fischer titration. Both materials significantly reduced moisture levels, with the highest reduction observed using 7.5 g of silica after 180 minutes. Multiple linear regression analysis confirmed that adsorbent mass and contact time had statistically significant effects (p < 0.001), while adsorbent type did not (p = 0.088), indicating that performance differences were not consistent across all conditions. These results refine the understanding of adsorbent behavior in biodiesel drying and support more informed selection based on operational priorities such as adsorption speed or reusability. This research contributes to the optimization of non-thermal moisture control strategies in biodiesel purification and highlights the need for future studies on adsorbent regeneration and scale-up feasibility.
Enhancing Power Factor Performance of Capacitor Bank Systems through Control Circuit Reconfiguration Yuli Prasetyo; Budi Triyono; Dimas Nur Prakoso; Santi Triwijaya; Muhammad Marco Dwi Yoga
International Journal of Engineering Continuity Vol. 5 No. 1 (2026): IJEC
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v5i1.454

Abstract

This study investigates a practical method to enhance the efficiency of a campus electrical distribution system by optimizing the control and power circuitry of a capacitor bank panel. The research addresses the persistent issue of low power factor and phase imbalance resulting from non-standard wiring configurations in existing installations. Unlike conventional maintenance procedures, the proposed rewiring strategy systematically redesigns the control and power connections to ensure accurate capacitor switching and reactive power compensation in accordance with operational load variations. A diagnostic improvement evaluation framework was employed, involving pre- and post-rewiring measurements of power factor, load current balance, and reactive power under both normal and full-load conditions. The rewiring intervention increased the power factor from 0.97 to 0.99 during normal operation and from 0.70 to 0.95 under full-load simulation (1100 kVA). These improvements corresponded to a measurable reduction in reactive power demand and overall system losses, indicating a substantial gain in energy efficiency and voltage stability. The findings confirm that targeted control circuit reconfiguration can significantly enhance the operational reliability of capacitor bank systems beyond conventional maintenance practices. This work contributes a replicable, technically validated approach for improving power quality in educational and industrial electrical installations.
Rainfall Anomaly Analysis and Seasonal Climate Projection in Palembang City Using CHIRPS Data and Z-Score Method Mahsyurdin, Shofwan; Ermatita, Ermatita
International Journal of Engineering Continuity Vol. 5 No. 1 (2026): IJEC
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v5i1.456

Abstract

Using CHIRPS daily rainfall data (1981–2024) which is the standard climatological period according to the World Meteorological Organization (WMO) which is at least 30 years, rainfall anomalies during the dry season (May–October) are analyzed using the Z-score statistical approach. The 2025 prediction scenario integrates moderate El Niño (SST +1.0) and negative IOD (–0.5) as correction factors for the climatological average. Anomalous rainfall values ​​will be converted into z-score values ​​if Z>0 then the value is above the average (wet/hot) and vice versa if Z<0 the value is below the average (dry/cold). The results of the study indicate a significant potential for negative anomalies (Z-score < 0) in most areas of Palembang, indicating a decrease in rainfall below normal levels, with the peak of the dry season projected in August–September 2025. For the rainfall anomaly value, it has been converted into a z-score value that has been explained using the formula so that the significant climate trend in 2024 is 0.34 according to the Standardized Rainfall Index (SPI) in the normal or mild condition category. Finally, the rainfall prediction graph for 2025 shows the final results of the analysis process, namely the highest rainfall of 369.173 mm in April and the lowest rainfall of 60.12 mm in August.  

Page 7 of 8 | Total Record : 75

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