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Dedi Purwanto Indra Kusuma
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RESWARA: Jurnal Riset Ilmu Teknik
Published by Lembaga Penelitian dan Pendidikan (LPP) Kalibra
ISSN : -     EISSN : 30259444     DOI : https://doi.org/10.70716/reswara
Core Subject : Engineering,
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation
RESWARA: Jurnal Riset Ilmu Teknik is a leading scholarly platform that examines the strategic role of engineering disciplines in advancing the Sustainable Development Goals (SDGs). The journal is dedicated to publishing recent research, innovations, and engineering solutions that support sustainable development. The editorial board welcomes manuscripts based on theoretical frameworks and empirical research. The journal scope covers scientific knowledge and research-based information, including applied research and recent developments in engineering research and development. The primary focus includes Civil Engineering and Spatial Planning, Industrial Engineering, Electrical Engineering and Informatics, Earth Science Technology, and Naval Architecture. All manuscripts published in RESWARA undergo a double-blind peer review process. The final decision on manuscript acceptance rests with the Editorial Board, based on recommendations from independent peer reviewers.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 55 Documents
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Simulation-Based Analysis of Warehouse Layout to Enhance Material Handling Efficiency Amalan, Yusuf Kurnia; Hartanti, Putri Felicia; Lin, David Weidong
RESWARA: Jurnal Riset Ilmu Teknik Vol. 3 No. 1 (2025): RESWARA: Jurnal Riset Ilmu Teknik, January 2025
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v3i1.410

Abstract

Warehouses play a critical role in modern supply chains, where inefficient layouts often lead to excessive travel distance, congestion, and high material handling costs. This study aims to analyze and improve warehouse layout performance using simulation-based approaches to enhance material handling efficiency. A comprehensive review of prior studies indicates that discrete-event simulation combined with systematic layout planning and storage assignment policies provides significant performance improvements in diverse warehouse contexts. This research adopts a simulation-based experimental design using FlexSim and Arena to evaluate alternative layout scenarios, incorporating dedicated, class-based, and shared storage strategies. Performance indicators include travel distance, material handling time, congestion level, and resource utilization. The results demonstrate that the proposed optimized layout reduces average travel distance by more than 35% and material handling time by up to 30% compared to the existing layout. These findings are consistent with previous studies reporting substantial efficiency gains through simulation-driven layout optimization. The study concludes that simulation-based warehouse layout analysis offers a robust decision-support tool for improving operational efficiency and provides practical insights for warehouse managers, particularly in small and medium-sized enterprises.
Energy Consumption Optimization in Commercial Buildings Using IoT-Based Monitoring Wicaksono, Dimas Arif; Rahman, Nur Aisyah; Ferreira, Lucas M.
RESWARA: Jurnal Riset Ilmu Teknik Vol. 3 No. 2 (2025): RESWARA: Jurnal Riset Ilmu Teknik, April 2025
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v3i2.412

Abstract

Energy consumption in commercial buildings continues to rise due to increased demand for comfort, automation, and operational continuity. Conventional energy management systems often fail to provide adaptive, real-time control, resulting in inefficiencies and unnecessary energy waste. This study examines the role of Internet of Things based monitoring systems in optimizing energy consumption within commercial buildings. The research adopts a systematic analytical approach by synthesizing empirical findings from recent IoT-based energy management studies and integrating them into a unified monitoring and control framework. The analysis focuses on occupancy detection, environmental sensing, data-driven control, and predictive analytics. Results indicate that IoT-based monitoring enables energy reductions ranging from 11 percent to over 30 percent, particularly in HVAC and lighting systems. Real-time data acquisition and automated control significantly improve operational efficiency while maintaining occupant comfort. The findings confirm that IoT-based monitoring systems provide measurable energy savings, enhance decision accuracy, and support sustainable building operations. This study contributes a structured evaluation of IoT-driven energy optimization strategies and offers practical insights for commercial building managers and policymakers seeking scalable and cost-effective energy solutions.
Analysis of Electric Vehicle Charging Infrastructure Readiness in Urban Areas Saputra, Fajar Rahman; Wicaksono, Nadya Putri; Yin, Hang
RESWARA: Jurnal Riset Ilmu Teknik Vol. 3 No. 3 (2025): RESWARA: Jurnal Riset Ilmu Teknik, July 2025
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v3i3.415

Abstract

The rapid growth of electric vehicle adoption has intensified the need for adequate charging infrastructure in urban areas. Infrastructure readiness determines accessibility, user confidence, and the pace of electrification in cities. This study analyzes the readiness of electric vehicle charging infrastructure in urban areas through a systematic literature-based analytical approach. The research synthesizes findings from international empirical studies, planning models, spatial analyses, and policy evaluations published between 2012 and 2025. The method applies structured content analysis to examine key dimensions of readiness, including spatial coverage, accessibility, technological configuration, policy support, and grid integration. The results show persistent spatial inequalities in charger distribution, mismatches between demand and supply, and limited integration between charging infrastructure and urban planning systems. Fast-charging deployment improves coverage efficiency but creates grid and cost challenges. Smart charging and data-driven planning models enhance readiness but remain underutilized in developing cities. The study concludes that urban charging readiness depends on coordinated planning, multi-criteria site selection, policy alignment, and grid-aware deployment strategies. These findings provide evidence-based guidance for policymakers and urban planners to accelerate sustainable electric mobility.
Thermal Performance Analysis of Heat Exchanger Using Computational Fluid Dynamics Rifqi, Andi Muhammad; Al-Khalil, Yusuf
RESWARA: Jurnal Riset Ilmu Teknik Vol. 3 No. 2 (2025): RESWARA: Jurnal Riset Ilmu Teknik, April 2025
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v3i2.416

Abstract

The increasing demand for high-efficiency thermal systems has intensified the development and optimization of heat exchangers across industrial, energy, and environmental applications. Computational Fluid Dynamics (CFD) has become a dominant tool for analyzing heat transfer and fluid flow behavior in complex heat exchanger geometries, enabling accurate prediction of thermal performance without extensive experimental costs. This study investigates the thermal performance of a shell-and-tube heat exchanger using CFD simulations to evaluate the effects of flow configuration, baffle spacing, and mass flow rate on heat transfer coefficient, temperature distribution, and pressure drop. Numerical simulations were conducted using ANSYS Fluent under steady-state turbulent flow conditions with water as the working fluid. The results indicate that counterflow configuration and optimized baffle spacing significantly enhance heat transfer while maintaining acceptable pressure losses. The obtained trends are consistent with previous studies, demonstrating improvements of up to 18–25% in heat transfer coefficient compared to baseline configurations. The findings confirm that CFD is a reliable and efficient tool for heat exchanger design optimization and provides valuable insights into thermal–hydraulic behavior, supporting its application in sustainable and energy-efficient thermal system development.
Effect of Cutting Parameters on Surface Roughness in CNC Milling Process Rahman, Ahmad Fauzi; Kowalska, Maria; Tanaka, Hiroshi
RESWARA: Jurnal Riset Ilmu Teknik Vol. 3 No. 4 (2025): RESWARA: Jurnal Riset Ilmu Teknik, October 2025
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v3i4.417

Abstract

Surface roughness is a critical quality indicator in the CNC milling process, directly influencing the functional performance, fatigue life, and aesthetic quality of machined components. The rapid development of advanced materials and high-precision manufacturing has intensified the need to understand and optimize machining parameters to achieve superior surface integrity. This study aims to systematically analyze the effects of cutting parameters on surface roughness in CNC milling by synthesizing and critically discussing findings from recent experimental and analytical studies. A comprehensive literature-based research method was employed, involving peer-reviewed journal articles indexed internationally and nationally, focusing on milling operations across metallic, composite, polymeric, and wood-based materials. The analysis reveals that feed rate consistently emerges as the most influential parameter affecting surface roughness, followed by cutting speed and depth of cut, although their relative significance varies depending on material properties, tool geometry, lubrication conditions, and machining strategies. Advanced approaches such as Taguchi methods, response surface methodology, and machine learning-based models demonstrate substantial potential in predicting and minimizing surface roughness. The findings confirm that optimal selection and control of cutting parameters can significantly enhance surface quality and machining efficiency. This article contributes a consolidated scientific perspective that can serve as a reference for researchers and practitioners in optimizing CNC milling processes.
Performance Analysis of Battery Energy Storage Systems in Renewable Power Integration Alamsyah, Muhammad Rizky; Sothea, Dara
RESWARA: Jurnal Riset Ilmu Teknik Vol. 3 No. 4 (2025): RESWARA: Jurnal Riset Ilmu Teknik, October 2025
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v3i4.421

Abstract

The increasing penetration of renewable energy sources such as solar and wind introduces significant challenges to power system stability due to their inherent intermittency and variability. Battery Energy Storage Systems (BESS) have emerged as a key technological solution to mitigate these challenges by providing fast response, energy balancing, and ancillary services. This study aims to analyze the performance of BESS in renewable power integration through a structured synthesis of recent empirical and modeling studies. A systematic literature-based analytical approach was employed, reviewing peer-reviewed journal articles and conference proceedings published between 2021 and 2025. The analysis focuses on performance indicators including frequency regulation, voltage stability, energy efficiency, degradation, reliability, and system adequacy. The results indicate that BESS significantly improves frequency and voltage regulation, reduces renewable curtailment, enhances system adequacy, and supports higher renewable penetration levels. However, technical limitations such as battery degradation, thermal risks, and high investment costs remain critical challenges. The study concludes that while BESS is technically effective for renewable integration, its long-term sustainability depends on optimal sizing, advanced management strategies, and supportive regulatory frameworks. This paper contributes by providing a comprehensive performance-oriented synthesis that supports planners, operators, and policymakers in deploying BESS effectively.
Environmental Impact Assessment of Industrial Activities on Coastal Ecosystems Ananda, Muhammad Jamal; Sakellariadou, Fani
RESWARA: Jurnal Riset Ilmu Teknik Vol. 3 No. 1 (2025): RESWARA: Jurnal Riset Ilmu Teknik, January 2025
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v3i1.422

Abstract

Coastal ecosystems are increasingly exposed to industrial pressures that threaten biodiversity, ecosystem services, and socio-economic sustainability. This study provides a systematic synthesis of recent environmental impact assessments of industrial activities affecting coastal ecosystems worldwide. Using a structured literature review approach, 30 peer-reviewed articles published between 2022 and 2025 were analyzed to identify dominant industrial drivers, pressure pathways, ecological responses, and management implications. The findings reveal that major industrial stressors include port development, offshore drilling, sand mining, wastewater discharge, shipbuilding, and coastal industrial estates. These activities generate cumulative pressures such as chemical contamination, habitat degradation, underwater noise, and biological disturbances, leading to measurable declines in benthic biodiversity, seagrass coverage, and ecosystem service provision. Integrated assessments consistently demonstrate that impacts are spatially concentrated near urbanized and industrialized coasts and disproportionately affect sensitive habitats such as mangroves, seagrass meadows, coral reefs, and estuaries. The review highlights that conventional project-based Environmental Impact Assessments remain insufficient to address cumulative and cross-sectoral impacts. Therefore, ecosystem-based management, strategic environmental assessment, and cumulative effects assessment are recommended as more effective governance tools. This study contributes a comprehensive synthesis of industrial impacts on coastal ecosystems and offers evidence-based recommendations for strengthening environmental governance to support sustainable coastal development.
Hydraulic Performance Analysis of Open Channel Flow Using HEC-RAS Modeling Susbandro, Zakaria; Phuong, Nguyen Thi Minh
RESWARA: Jurnal Riset Ilmu Teknik Vol. 3 No. 2 (2025): RESWARA: Jurnal Riset Ilmu Teknik, April 2025
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v3i2.423

Abstract

Open channel flow analysis plays a critical role in hydraulic engineering, particularly in river management, flood mitigation, and infrastructure design. Recent advancements in numerical modeling have positioned HEC-RAS as one of the most widely adopted tools for hydraulic performance evaluation. This study aims to analyze the hydraulic performance of open channel flow using HEC-RAS modeling by synthesizing empirical findings from multiple case studies and applying a structured hydraulic simulation framework. The research employs a numerical modeling approach using steady and unsteady flow simulations, calibrated with Manning’s roughness coefficients and cross-sectional survey data. The results indicate that HEC-RAS provides reliable estimations of water surface elevation, flow velocity, and energy losses across diverse channel geometries. Comparative analysis with previous studies demonstrates strong consistency between simulated and observed hydraulic parameters. The findings confirm that HEC-RAS is effective for evaluating open channel performance under varying hydraulic conditions and supports informed decision-making in channel design, flood risk management, and hydraulic infrastructure optimization. This study contributes to the growing body of evidence supporting HEC-RAS as a robust and practical hydraulic modeling tool for open channel systems.
Optimization of Production Scheduling Using Genetic Algorithm in Manufacturing Systems Ramadhan, Muhammad Arif; Htet, Aung Min
RESWARA: Jurnal Riset Ilmu Teknik Vol. 3 No. 4 (2025): RESWARA: Jurnal Riset Ilmu Teknik, October 2025
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v3i4.424

Abstract

Production scheduling plays a critical role in improving efficiency, reducing makespan, and optimizing resource utilization in manufacturing systems. Conventional scheduling methods often fail to handle complex constraints, dynamic environments, and multi-objective requirements. This study examines the effectiveness of Genetic Algorithms in optimizing production scheduling across various manufacturing contexts. The research adopts a systematic literature-based analytical approach by synthesizing empirical findings from recent journal articles and conference proceedings published between 2021 and 2025. The analysis focuses on job shop, flow shop, flexible manufacturing systems, and reconfigurable manufacturing environments. The results show that Genetic Algorithms consistently outperform traditional heuristics and single-solution optimization methods in minimizing makespan, reducing lead time, improving machine utilization, and supporting adaptive scheduling under uncertainty. Hybrid models combining Genetic Algorithms with Simulated Annealing, Petri Nets, and simulation-based optimization demonstrate superior performance and robustness. The study confirms that Genetic Algorithms provide a scalable and flexible framework for production scheduling optimization in modern manufacturing systems. These findings contribute to decision support system development and provide guidance for future research on hybrid and data-driven scheduling models.
Performance Evaluation of Constructed Wetlands for Domestic Wastewater Treatment Hakim, Muhammad Irfan; Rahman, Siti Nur Aisyah
RESWARA: Jurnal Riset Ilmu Teknik Vol. 3 No. 1 (2025): RESWARA: Jurnal Riset Ilmu Teknik, January 2025
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v3i1.425

Abstract

Constructed wetlands (CWs) have emerged as an environmentally sustainable and cost-effective technology for domestic wastewater treatment, particularly in developing and tropical regions. This study aims to evaluate the performance of various constructed wetland configurations for domestic wastewater treatment based on a systematic synthesis of recent empirical studies. The research employed a structured literature analysis of peer-reviewed journal articles published between 2021 and 2025, focusing on pollutant removal efficiencies, system configurations, vegetation types, and operational conditions. The results indicate that constructed wetlands consistently achieve high removal efficiencies for organic matter and suspended solids, with reported reductions ranging from 70% to 95% for biochemical oxygen demand (BOD), 60% to 90% for chemical oxygen demand (COD), and 75% to 98% for total suspended solids (TSS). Vertical flow and hybrid constructed wetlands generally outperform horizontal subsurface flow systems, particularly in nitrogen and phosphorus removal. The integration of innovative elements such as biochar media, aeration, and microbial fuel cells further enhances treatment performance and pollutant degradation. This study confirms that constructed wetlands are a robust and adaptable solution for domestic wastewater treatment, offering significant environmental and socio-economic benefits. The findings support the wider implementation of constructed wetlands as a decentralized wastewater treatment strategy and highlight the importance of optimizing design parameters and plant selection for site-specific conditions.

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