IPTEK The Journal of Engineering
IPTEK The Journal of Engineering (E-ISSN: 2337-8557) is an academic journal on the issued related to engineering and technology. IPTEK The Journal of Engineering published first time in August 2014. From 2014-2018 (Volume 1-4) IPTEK The Journal of Engineering publish three issues (numbers) annually (April, August, and December). Since 2019 published annually in April and August. It is open to all scientist, researchers, education practitioners, and other scholars. Therefore this journal welcomes various topics in different engineering disciplines. Our target is to reach all universities, research centers and institutes in the globe. Call for Papers IPTEK The Journal of Engineering is an open-access journal, which means that visitors all over the world could read, download, cite, and distribute papers published in this journal for free. We adopt a peer-review model, which insured fast publishing and convenient submission. In addition to peer-reviewed original research papers, the Editorial Board welcomes original research reports, state-of-the-art reviews and communications in the broadly defined field of engineering science and technology. Theses, dissertations, research papers, and reviews are all acceptable for publication. All topics should relevant to the issues faced by industries, governments, and communities. The broad-based topics may be covered by the following knowledge areas: Computer Engineering and Information Systems (Telematics, Algorithms and Programming, Network Based Computing, Smart Computing and Vision, Intelligent Information Management, Computer Architecture and Networking, Applied Modeling and Computing, Graphics Interaction and Games, Software engineering, Information Technology Infrastructure and Security, Information Systems Management, Data Engineering and Business Intelligence, Data Acquisition and Information Dissemination, Enterprise System, and Smart Cities and Cyber Security) Civil Infrastructure Engineering (Hydrotechnics and Surveying, Construction Implementation Management, Building Materials and Structures, and Transportation and Geotechnics) Mechanical Engineering (Energy Convertion, Metallurgical and Materials Engineering, Mechanical Design, and Manufacture) Electrical Engineering Automation (Cyber Physical, Automation, and Industrial Robots, Programmable Logic Controller and Control System, Antennas and Propagation, Instrumentation, Measurement and Power System Identification, Multimedia Telecommunications Network, Multimedia Communication, Electric Energy Conversion, Electric Power System Simulation, High voltage, System and Cybernetics, Microelectronics and Embedded Systems, Biocybernetics, Instrumentation and Biomedical Signal Processing, Multimedia Computing and Machine Intelligence, and Digital Signal Processing) Chemical Engineering (Applied Chemistry, Biochemical and Bioprocess, Advance Functional Materials and Analysis, Thermodynamic, Chemical Reaction, Material and Nanocomposite, Bioenergy, Wastewater Treatment, Process Integration, Fluid Mechanic, and Sustainable Industrial Systems) Instrumentation Engineering (Control Instrumentation, Measurement Instrumentation, Photonic Engineering, Vibration and Acoustics, and Embedded Systems and Physical Cyber) Business Statistics (Business Analytic, and Quality and Productivity Engineering) And physical, chemical, biological, and environmental sciences that are directly related to engineering.
Articles
144 Documents
<![CDATA[Risk Evaluation Of The Shipyard Supply Chain Process On Ship Repair With The House Of Risk Matrix Method ]]>
<![CDATA[Radi, Hanif Ardhio]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 11, No 2 (2025) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
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DOI: 10.12962/j23378557.v11i2.a21214
<![CDATA[One of the keys to the success of ship repair is the supply chain (SC) process of materials that arrive on time. However, delays in its implementation were still found due to poor SC risk management. The purpose of the study is to identify risk factors for SC delay, measure risk factors and evaluate risk factors. This study uses the HOR (House of Risk) method which identifies risk variables (risk events and risk agents) and designs mitigation actions. The results of the HOR phase 1 study show an assessment score in the form of Aggregate Risk potential (ARP) which has a high influence on KM repair. Lintas Damai 1 includes: Supplier's unpreparedness in fulfilling orders with a score of 225, the forwarder experienced a delay in scoring 116 and Needs rejuvenation of facilities and transportation with a score of 120 and KM. Shinpo19 includes the quality of materials from suppliers that are of poor quality with a score of 280, materials that are difficult to obtain in the area with a score of 138 and the layout of poorly organized storage warehouses with a score of 92. The results of HOR phase II include mitigation actions to handle risk agents in KM. Lintas Damai 1 includes finding trusted supplier partners, increasing networking with other suppliers, holding tenders with suppliers who are ready and conducting service and checks every month. Meanwhile, KM. Shinpo19 has mitigation actions to handle risk agents, namely replacing materials with the same specifications but still of quality, having supplier connections with quality standards, supervising suppliers so that they comply with quality standards and structuring materials based on their type.]]>
<![CDATA[Green Synthesis of Microcrystalline Cellulose from Cabbage Waste (Brassica Oleracea L.) Using Steam Explosion and Low-Concentration Chemical Treatment ]]>
<![CDATA[Syafira, Nesha Permata]]>;
<![CDATA[Airlangga, Bramantyo]]>;
<![CDATA[Sumarno, Sumarno]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 11, No 2 (2025) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
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DOI: 10.12962/j23378557.v11i2.a22841
<![CDATA[The increasing generation of agricultural waste presents both environmental challenges and opportunities for the development of sustainable materials. This study explores the extraction of microcrystalline cellulose (MCC) from cabbage waste using a combination of steam explosion and low-concentration chemical treatments to optimize lignocellulose degradation. The process involved sequential delignification with NaOH, bleaching with NaOCl, and steam explosion applied to samples that had been soaked in oxalic acid at varying concentrations (0%–2%). After drying, the samples were analyzed using FTIR, XRD, and SEM to evaluate the extracted MCC product. The analytical results showed that the applied method significantly increased cellulose purity, from 31.05% in untreated fibers to 69.88% after steam explosion following soaking in 2% oxalic acid. FTIR analysis confirmed the removal of lignin and hemicellulose, while XRD analysis indicated an increase in crystallinity from 39% to 57%, suggesting improved structural integrity. SEM analysis revealed enhanced fiber separation and reduced particle size, indicating efficient defibrillation. These results highlight the potential of an environmentally friendly approach to producing high-quality MCC, supporting green chemistry principles and sustainable development goals (SDGs). eThe extracted MCC holds promising applications, particularly as a biopolymer for drug delivery systems, polymer composites, and food additives.]]>
<![CDATA[Effect of Inhibitor Addition, pH, and Current Density on the Corrosion Rate of Fe Metals ]]>
<![CDATA[Aulia, Anisa Fatma]]>;
<![CDATA[Faizah, Nurul]]>;
<![CDATA[Arifin, Rizal]]>;
<![CDATA[Kaloka, Ardista Izdhihar]]>;
<![CDATA[Thufailah, Gladys Sukma]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 11, No 2 (2025) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
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DOI: 10.12962/j23378557.v11i2.a22948
<![CDATA[Corrosion significantly impacts public safety and the economy, causing substantial financial losses, infrastructure damage, and hazardous incidents across various industries. Researchers investigated the effects of pH, current density, and corrosion inhibitors (potassium chromate and potassium nitrate) on iron corrosion by measuring weight loss of iron samples immersed in sulfuric acid over time. The addition of inhibitors showed that KNO₃ was more effective in reducing the corrosion rate, with values of 4.992068, 3.744051, 2.736034, 1.728017, and 0.608008 mpy, compared to K₂CrO₄, which resulted in 9.728132, 7.296099, 5.472066, 3.648033, and 1.216017 mpy. Corrosion rate increased as pH decreased, with Fe showing corrosion at pH 6.21, 5.18, 4.26, 3.85, and 3.22. The relationship between current density and corrosion rate was found to be proportional, with voltage values of 1.31, 2.24, 3.16, 5.11, and 7.1 A/m². This study confirms that inhibitor type, acidity (pH), and current density significantly influence corrosion behavior, where increasing pH and current density can accelerate corrosion, and potassium nitrate (KNO3) demonstrates superior corrosion inhibition compared to potassium chromate (K2CrO4).]]>
<![CDATA[Computational Study on Urea Concentration Profiles in Hemodialysis Hollow Fiber Membranes Under Different Blood Flow Conditions ]]>
<![CDATA[Purwanto, Belinda Kezia]]>;
<![CDATA[Nurkhamidah, Siti]]>;
<![CDATA[Rahmawati, Yeni]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 11, No 2 (2025) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
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DOI: 10.12962/j23378557.v11i2.a22947
<![CDATA[Kidney failure significantly impairs physiological functions, primarily due to the accumulation of urea in the bloodstream. When renal function drops below 75%, hemodialysis becomes a crucial therapeutic intervention. This study investigates the performance of a hollow fiber dialyzer, consisting of a shell-side dialysate flow, a semi-permeable membrane, and internal capillaries for blood flow. The main objective is to develop a theoretical model describing urea mass transfer through the membrane during hemodialysis. The analysis focuses on the effect of blood flow rate on urea concentration distribution across the tube, membrane, and shell regions in both axial and radial directions. Additionally, the influence of membrane length and dialysate flow rate on urea clearance is examined. Simulation results indicate that higher blood flow rates lead to elevated urea concentrations at the tube outlet, suggesting reduced diffusion into the dialysate compartment. In contrast, increasing membrane length enhances urea clearance. Interestingly, the dialysate flow rate shows minimal impact on clearance efficiency. Under a fixed dialysate flow rate of 500 mL/min and a membrane length of 27 cm, the calculated urea clearance values were 21.95%, 17.06%, 14.31%, and 12.52% for blood flow rates of 200, 300, 400, and 500 mL/min, respectively]]>
