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
311 Documents
<![CDATA[Algaboost: A Smart Cultivation Photobioreactor Combining UV-B Induction and ANN-Based Control for Enhanced Lipid Production in Microalgae Botryococcus braunii ]]>
<![CDATA[I Putu Evan Priya Saguna]]>;
<![CDATA[Komang Tris Astra Putri Adnyani]]>;
<![CDATA[I Ketut Rama Adi Widhiarta]]>;
<![CDATA[Ni Ketut Ayu Putri Premayanti]]>;
<![CDATA[Muhammad Andika Hakim]]>;
<![CDATA[I Putu Eka Widya I Pratama]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 11 No. 1 (2025) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v11i1.a22761
<![CDATA[The production of biodiesel from microalgae presents a sustainable solution to global energy challenges, particularly through the utilization of Botryococcus braunii, known for its high lipid yield. However, conventional cultivation methods remain constrained by manual monitoring and limited process optimization, resulting in suboptimal lipid productivity. This study introduces Algaboost, an intelligent photobioreactor that integrates UV-B induced stress with Artificial Neural Network (ANN)-based environmental control to enhance lipid accumulation in B. braunii. The system was designed with real-time sensor feedback, automated fluid control, and a graphical user interface (GUI) to facilitate dynamic cultivation management. The ANN model, trained on a dataset of 119 entries, successfully predicted optimal cultivation set points (pH 6.0; salinity 30.1 ppt) and demonstrated reliable performance as a software sensor. Under these conditions, a lipid yield of 41.49% was achieved, with 20.83% TAG content, suitable for biodiesel synthesis. The findings validate the feasibility of combining machine learning and photobiological stress in a semi-autonomous platform, offering a scalable approach to renewable fuel production. Algaboost not only improves operational efficiency but also marks a step toward adaptive, data-driven bioprocessing for sustainable energy systems.]]>
<![CDATA[Ketalization of Glycerol and Acetone to Solketal: Effect of Temperature, Concentration & Mathematical Model ]]>
<![CDATA[Fikrah Dian Indrawati Sawali]]>;
<![CDATA[Moh Azhar Afandy]]>;
<![CDATA[Mega Mustikaningrum]]>;
<![CDATA[Rara Ayu Lestary]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 11 No. 1 (2025) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v11i1.a22642
<![CDATA[Solketal is a viable method for using glycerol, a by-product of biodiesel production. This study aims to identify the optimal operating parameters for solketal compounds generated from the glycerol ketalization reaction with acetone by using mathematical models that effectively forecast an appropriate framework for this process. This research consists of three critical phases: the ketalization reaction of glycerol with acetone, the characterization of the result solketal products, and the ketalization reaction utilizing the Amberlite IR 120 Na catalyst. The process begins by introducing glycerol and acetone in a mole ratio of 1:3, followed by mechanical Stirring at 500 rpm. The temperature is regulated using a water bath to maintain a constant reaction temperature under specified conditions of 20 °C, 120 °C, 150 °C, and 180 °C, with catalyst masses of 1%, 3%, 5%, and 7%. The mathematical model used is of exponential and polynomial order 2. The findings indicated that the optimal glycerol conversion of 46.01% was attained at 50 °C, using a 5% catalyst concentration throughout a reaction duration of 120 minutes. Second-order polynomial regression is the most appropriate mathematical model to represent this process.]]>
<![CDATA[Optimization of Bioethanol Production From Chlorella Vulgaris With Ca2+,Mg2+, and Zn2+ Ion Suplements Through Separated Hydrolysis and Fermentation Using Respon Surface Methodology ]]>
<![CDATA[Muhammad Fakhrudin Zukhri]]>;
<![CDATA[Afan Hamzah]]>;
<![CDATA[Muhamad Khoirul Anam]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 11 No. 1 (2025) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v11i1.a22740
<![CDATA[Indonesia, with its wealth of natural resources, has the potential to develop bioethanol as an alternative to diminishing fossil energy sources. Third-generation bioethanol is a form of renewable energy and an environmentally friendly fuel derived from non-conventional biomass resources, particularly from microorganisms such as algae and cyanobacteria. This study focuses on optimizing the bioethanol production process from the microalga Chlorella vulgaris using the Separated Hydrolysis and Fermentation (SHF) method, with the addition of calcium ions (Ca^2+), magnesium ions (Mg^2+), and zinc ions (Zn^2+) to enhance bioethanol yield and concentration. The research procedure includes raw material pretreatment, acid hydrolysis, liquefaction, saccharification, fermentation, and distillation. The distillate samples are analyzed for bioethanol concentration using a refractometer and bioethanol density with a pycnometer. The effect of added medium components on the fermentation process is statistically analyzed using Analysis of Variance (ANOVA) in MINITAB Statistical Software and Response Surface Methodology (RSM) in DESIGN EXPERT 13. Statistical optimization of the fermentation process is performed using Central Composite Design (CCD). ANOVA analysis reveals significance with a P-Value < 0.0001 for bioethanol yield and concentration. Optimization results indicate an optimal yield of 17.087 percent with a concentration of 165.592 grams per liter, achieved with the addition of Ca^2+ at 164.755 parts per million, Mg^2+ at 146.279 parts per million, and Zn^2+ at 38.516 parts per million.]]>
<![CDATA[Ethylene Evaporation Rate Analysis in the Storage Tank and Boil-Off Gas Dispersion: Case Study in PT Lotte Chemical Titan Nusantara ]]>
<![CDATA[Khoir Lazuardi]]>;
<![CDATA[Ajeng Nina Rizky]]>;
<![CDATA[Rijaalul Mulhim Al-Mauhub]]>;
<![CDATA[Ibnu Faridsyah]]>;
<![CDATA[Bagus Cahyadi]]>;
<![CDATA[Orchidea Rachmaniah]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 11 No. 1 (2025) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v11i1.a21725
<![CDATA[As a primary raw material at PT Lotte Chemical Titan Nusantara (LCTN), ethylene storage is 12,000 tons in icy conditions (- 103.6 °C and 40-80 mbarg) before processing into polyethylene. Ethylene evaporation is inevitable. Therefore, the proper handled of ethylene needs to be settled. The evaporation rate or Boil-Off Rate (BOR) of ethylene is predicted to be 0.0705-0.0730% vol/day, and the Boil-Off Gas (BOG) is 9.41-9.76 tons per day (at 21-40 °C and a tank liquid level of 15.41 meters, approx. 52.51% volume of tank). The BOR is a predicted value of the percentage of volume evaporated daily. When the liquid level is increased, the BOR rate will also be increased. The size of any leaks dramatically impacts the gas dispersion radius. A leak with a 10 mm size at wind speeds of 5 and 10 km/hr resulted in the radius distance of BOG dispersion being 8.2 and 7.7 m, respectively. When the leak hole is ten times bigger, ca. 100 mm, the radius is eight times wider. Fortunately, gas releases happen well above ground level (15.5 meters), causing the cloud to rise, keeping personnel safe. Too low liquid levels ramp up evaporation, risking shortages, while overfilling increases BOG, raising the chance of spills and safety hazards. Hence, managing these variables is crucial to keep operations smooth and safe.]]>
<![CDATA[Surface Characteristics Comparison of Machining Waste Using Powder Metallurgy Method ]]>
<![CDATA[Ika Silviana Widianti]]>;
<![CDATA[Ahmat Syafa'at]]>;
<![CDATA[Yoga Kartiko Raharjo]]>;
<![CDATA[Suhariyanto Suhariyanto]]>;
<![CDATA[Giri Nugroho]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 11 No. 3 (2025) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v11i3.a23206
<![CDATA[Machining processes generate metal waste in the form of fine powder that is often not reused efficiently. This study explores the potential reuse of metal machining waste powder through powder metallurgy, focusing on how sintering temperature affects mechanical properties and microstructure. Metal powder from ST60 steel machining was compacted and sintered at 1100°C, 1150°C, and 1200°C. The specimens were then compared to original ST60 steel. XRF analysis confirmed that iron was the dominant element in the waste powder. Microstructural analysis showed the presence of ferrite and pearlite in all specimens, with higher sintering temperatures increasing the ferrite content. In terms of mechanical performance, ST60 steel showed the highest hardness (80.6 HRB) and compressive strength (156.157 N/mm²). Among the specimens, the one sintered at 1100°C had the highest hardness (65.1 HRB) and compressive strength (73.293 N/mm²), closest to ST60 steel. The lowest surface roughness (7.058 Ra) was observed in the 1200°C specimen, approaching ST60’s value (2.003 Ra). These findings indicate that reused machining waste powder can be processed into useful products, especially for low-load applications, with optimal properties achieved at 1100°C sintering temperature.]]>
<![CDATA[Synergistic Temperature Effect on the Acid Corrosion Inhibition of API 5L Grade B Steel Using Eichhornia crassipes Leaf Extract ]]>
<![CDATA[Laksita Aji Safitri]]>;
<![CDATA[Eddy Widiyono]]>;
<![CDATA[Hari Subiyanto]]>;
<![CDATA[Dimitra Meidina Kusnadi]]>;
<![CDATA[Yusuf Tanto Kuswanto]]>;
<![CDATA[Nur Husodo]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 11 No. 3 (2025) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v11i3.a23162
<![CDATA[Corrosion is the deterioration of material properties, particularly metals, due to chemical reactions with the surrounding environment. One of the effective methods to mitigate corrosion is the addition of inhibitors. Organic inhibitors are considered environmentally friendly, cost-effective, and renewable. In this study, an extract of water hyacinth leaves (Eichhornia crassipes) was used as an organic inhibitor. The material tested was API 5L Grade B steel in 1 M HCl solution as the corrosive medium, with testing temperatures of 30 °C, 40 °C, 50 °C, and 60 °C, and inhibitor concentrations ranging from 500 mg to 2500 mg. The corrosion behavior was evaluated using Potentiodynamic Polarization (PDP), Electrochemical Impedance Spectroscopy (EIS), and Weight Loss (WL) methods. The results showed a significant reduction in the corrosion rate of API 5L Grade B steel in 1 M HCl solution when the water hyacinth extract inhibitor was added. In the PDP test, the corrosion rate for the sample without inhibitor reached 107.4 mm/year, while the lowest inhibition efficiency was 1.25% and the highest inhibition efficiency was 97.85%, observed at 50 °C with an inhibitor concentration of 2500 mg. This represents the maximum efficiency among all tested concentrations and temperatures.]]>
<![CDATA[Implementation of Genetic Algorithm for Parameter Tuning of PID Controller in Three Phase Induction Motor Speed Control ]]>
<![CDATA[Dedid Cahya Happyanto]]>;
<![CDATA[Ardik Wijayanto]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 1 No. 1 (2014) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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<![CDATA[Induction motor at low speeds has a tough speed setting sets the width of the range. This study tested by giving the load motor disorders to describe the condition. The method used for vector control system so that the resulting performance is good at setting the motor speed and torque. This method is used in setting the Proportional Integral Derivative (PID) Tuning parameter settings based on Genetic Algorithm (GA) to provide a dynamic response to changes in speed and load torque on the motor, so we get smoothness at any speed change and braking and maximum torque motors. Optimization function is required to obtain a new PID parameter values each input value changes or load disturbances, in terms of the initial determination of these parameters using Ziegler-Nichols method based on frequency response. Tests were performed at a speed of approximately 1800 rpm value rise time of about 10 seconds after generation added, at a rate of 1800 rpm rise time value of the average remains around 9 seconds, but slightly reduced the oscillations in the response, and the speed of approximately 1700 rpm rise time value of the average is 9 seconds. The test results show that GA-based PID controller has a good response in approximately 0.85% overshoot at the motor speed change and braking.]]>
<![CDATA[Opinion Extraction of Public Figure Based on Sentiment Analysis from Twitter ]]>
<![CDATA[Nur Hayatin]]>;
<![CDATA[Mustika Mentari]]>;
<![CDATA[Abidatul Izzah]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 1 No. 1 (2014) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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<![CDATA[Twitter is a microblog that can generate an information from users such as sentiment about public figures. Sentiment analysis of public figure interpret the positive or negative response. This study aims to create system that automatically can extract the opinion about public figure based on sentiment analysis in twitter using two novel features, they are specific term and number of followers public figures lover and hater. Several step to determine the sentiment of public figure are preprocessing, weighting, classifying, and determining sentiment response. In this paper we use six public figures to be observed. This research resulting precision 99%, recall 75%, and accuracy 76,67%.]]>
<![CDATA[Auto Berthing – a Solution for Achieving Zero Waiting Time at Harbour ]]>
<![CDATA[Aulia Siti Aisjah]]>;
<![CDATA[A. A. Masroeri]]>;
<![CDATA[Aries Sulisetiyono]]>;
<![CDATA[Randhika Gunawan]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 1 No. 1 (2014) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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<![CDATA[Tanjung Perak Port is one of biggest harbour in Indonesia. The shipping start from Karang Jamuang to Naval Base. The moving is use help of scout ships and tug boat. A control system can be applied to anchored ships , to replace the role of tug and scout boat. Movement from the parking position to the anchored involve auto maneuver and auto berthing. Both auto system is designed using fuzzy logic control. Input of control from sensors and guidance according to the path leading to the dock, and to anticipate the environmental disturbance factors (that is ocean currents). Control rules are unique, according to the type and size of vessel. In the case study to AHTS vessels, berthing auto show good ability. The heading error of 0.04° to the direction parallel to the dock, and the range of distances error is 0.16 to 2.16 meters from the desired position. Reduction of processing time leaning point to Jamrud dock is 33 minutes.]]>
<![CDATA[Tin Extraction from Slags Used Hydrochloric Acid ]]>
<![CDATA[Nonot Soewarno]]>;
<![CDATA[Ali Altway]]>;
<![CDATA[Susianto]]>;
<![CDATA[Fadlilatul Taufany]]>;
<![CDATA[Siti Nurkhamidahis]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 1 No. 1 (2014) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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<![CDATA[Slag is a mixture of mineral in tin sand or by product in the smelting process. By using separation process, tin can be separated from other minerals in slag. Extraction process with a solvent is usually used to separate tin from other minerals. Furthermore, solution that still contains many dissolved compounds is adsorbed by activated carbon and desorption back with NaOH solution. This study only focuses on the extraction process to obtain a stannate chloride solution with extraction temperature, solvent concentration, extraction time, and liquid/solid ratio as variables. Hydrochloric acid (HCl) has been used as solvent in this study. The concentration of tin in the extracts of each variable was analyzed to determine the percentage of recovery of tin and the optimum operating conditions in the recovery process of tin from waste slag. Experiment results show that the percentage of recovery increases with the increasing of extraction temperature and solvent concentration The highest recovery is 61.5% which is obtained when the extraction temperature is 80 ºC, concentration of HCl is 10 wt%, with a HCl solution and slag ratio is 7: 1 and extraction time is about 30 minutes.]]>
