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[The Production of Gelatin from Snapper Scales (Lutjanus camphecanus Sp.) through Enzymatic Pretreatment ]]>
<![CDATA[Warlinda Eka Triastuti]]>;
<![CDATA[Suprapto]]>;
<![CDATA[Elly Agustiani]]>;
<![CDATA[Lailatul Qomariyah]]>;
<![CDATA[Agung Subyakto]]>;
<![CDATA[Treisnaning Widasgantri]]>;
<![CDATA[Marchel Abednego Septa K]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 8 No. 1 (2022) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v8i1.a12860
<![CDATA[Fish wastes such as fish bones and scales have a potential to be used as a gelatin source. It can be used as an alternative material to replace pork or bovine which ordinarily conflicted with religion issue. Gelatin from fish has different characteristics compared with mammalian source. It has several advantageous properties such as high amount of hydrophobic amino acids, less proline and hydroxy proline, lower gelling ability, and melting point. In this study, gelatin was produced from fish waste especially snapper scales using the bromelain enzyme at the pre-treatment stage to improve its characteristic. The snapper scales soaking in hot water at 80 degrees Celsius for about 30 minutes to remove the fat which attached the scales. A pre-treatment has been conducted using bromelain enzyme solution at various concentrations of 1 percent, 2 percent, 3 percent, 4 percent and 5 percent for 6 hours to remove non-collagenous proteins and loosen the bonds of the fish scales. The next step is demineralization using a 15 percent concentration of citric acid solution for 3 days. The ossein formed in the demineralization stage was then hydrolyzed at 50 degrees Celsius and 70 degrees Celsius for 9 hours with stirring at 300 rpm. The best gelatin yield was obtained from the pretreatment of bromelain enzyme solution with a concentration of 3 percent at a hydrolysis temperature of 70 degrees Celsius with a yield of 9.13 percent, pH value of 3.86, water content of 8 percent, ash content of 0.80 percent. FTIR spectra shows the presence of functional groups correspond to gelatin formation, such as carbon, hydrogen, hydroxyl group (O-H), carbonyl group (C=O), amine group (N-H) and alkene group (C=C). The heavy metal content test showed that the gelatin contained no heavy metal content of lead (Pb), mercury (Hg), cadmium (Cd) and arsenic (As).]]>
<![CDATA[IoT-based for Monitoring and Control System of Composter to Accelerate Production Time of Liquid Organic Fertilizer ]]>
<![CDATA[Safira Firdaus Mujiyanti]]>;
<![CDATA[Putri Yeni Aisyah]]>;
<![CDATA[Adelia Firsty Salsabilla]]>;
<![CDATA[Tiffany Rachmania Darmawan]]>;
<![CDATA[Abdul Rohid]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 8 No. 2 (2022) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v8i2.a14081
<![CDATA[The composter is a method to produce the liquid organic fertilizer. The manual process certainly takes a long time. Thus, the automatic composter proposed in this research is equipped with a monitoring and control system. In producing liquid organic fertilizer using a composter, there are several things that can affect the maturity of the fertilizer, including pH and temperature factors. The reference temperature for produce liquid organic fertilizer in the composting process ranges from 30-40 oC, while the pH in the composter must be in the range of 4.5-6.5. This composter is designed to be able to carry out automatic mixing equipped with a temperature control system that serves to maintain temperature stability in the compost media according to the reference temperature. The composter design is equipped with a DHT 11 sensor as a temperature sensor, a pH sensor and the ESP 32 as the controller. Internet of Things (IoT) makes this system easy to control using android. Producing liquid organic fertilizer compered between the automatic and manual process. The results show that liquid organic fertilizer can be produced faster, has a better quantity and quality than the manual process.]]>
<![CDATA[Optimization of Ethylene Glycol Plant Heat Exchanger Network with Non-Catalytic Hydration Process from Ethylene Oxide ]]>
<![CDATA[Muhammad Garin]]>;
<![CDATA[Elsabella Adiguna]]>;
<![CDATA[Suprapto]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 8 No. 2 (2022) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v8i2.a14072
<![CDATA[Heat integration is a method to increase energy efficiency in a series of processes by utilizing the energy potential of other process units, so that Maximum Energy Recovery (MER) will be achieved. One way to perform heat integration is through the design of a heat exchanger network (HEN). The HEN design simulation in this study was carried out in an ethylene glycol plant where in the process there is still a lot of wasted and unused heat. After the HEN simulation was applied, it was found that the heating value decreased by 59% from the existing condition, while the cooling value decreased by 79% from the existing condition. This causes the operation cost for utilities to decrease drastically but increase the capital cost due to the addition of 2 heat exchangers.]]>
<![CDATA[Drying Process Optimization and Efficiency of Aluminum Fluoride (AlF3) Plant ]]>
<![CDATA[Hanifah Inas Nastiti]]>;
<![CDATA[Ryan Anindya Affan]]>;
<![CDATA[Elly Agustiani]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 8 No. 2 (2022) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v8i2.a13903
<![CDATA[Aluminum Fluoride (AlF3) is a substantive material used to reduce the melting point temperature of the Aluminum from 1500oC to 600-850oC. The production applies a wet process using raw materials of Fluosilicic Acid and Aluminum Hydroxide with a by-product of Silica Dioxide. In this case, AlF3 products are expected to have a maximum H2O content of 2.6%. However, in the production process, the H2O content reached 3% due to the inoptimum drying process. Therefore, the optimization process was carried out by increasing the dry air temperature of the recycle from stage 2 to stage 1 in the drying process, so that the mass transfer of H2O from AlF3 crystals to the air can be maximized. After the optimization, it was found that the H2O content has met the quality standard of 1.8%.]]>
<![CDATA[Design of Horizontal Axis Wind Turbine Simulator Using Smart Monitoring System ]]>
<![CDATA[Ahmad Fauzan Adziimaa]]>;
<![CDATA[Ilham Kurniawan]]>;
<![CDATA[Anida Oktavia Rachmadianti]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 8 No. 2 (2022) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v8i2.a12848
<![CDATA[Wind turbine shows the direct utilization of mechanical energy and occurs as follows: the wind that moves hitting the wing of the ferris wheel causes the ferris wheel to spin. The rotation of the ferris wheel causes the formation of mechanical energy, while the conversion of wind energy into electrical energy is as follows: the wind through the ferris wheel plants causes the ferris wheel to spin. The spin of the ferris wheel causes the generator to spin. Inside the wind energy generator is converted into electrical energy. In the Final Task that did the design of this prototype, do a comparison between the horizontal axis wind turbine with variations in the number of blades, with blade variations totaling 3 and 5. So, there will be 2 wind turbines with different numbers of blades in one prototype. Comparisons are made to find out the performance carried out by the two wind turbines that aim as a learning medium in the Measurement Instrumentation Laboratory. This final task is divided into five stages: including, tool design, tool characterization, tool validation, tool testing, and comparing tools. The process of designing tools that are divided into two methods, namely covering the formation of hardware and the formation of software. From the graph data contained in the discussion shows the performance with the propeller amounting to 5 produces a higher current and voltage output and rpm on this prototype scale than the number of propellers 3, with the value for example at the acceleration of fan 5 with a wind speed of 3.9 m / s on the propeller amounting to 5 resulting in an average current value of 3.2 mA, a voltage of 1.98 V, and rotor rotation of 234 RPM. While at the number of propellers 3 with the same wind speed produces smaller current output, voltage and rpm, which is obtained an average current of 2.3 mA, a voltage of 1.88 V, and rotor rotation of 243 RPM.]]>
<![CDATA[Design and Construction Pond Temperature Control System and Automatic Nile Tilapia Fish Feeder for Aquaponics ]]>
<![CDATA[Putri Yeni Aisyah]]>;
<![CDATA[Dyah Ayu Permadani]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 8 No. 2 (2022) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v8i2.a14087
<![CDATA[Expansion of land for the development of human civilization reduces natural ecosystems. Especially land for agriculture and fisheries in densely populated areas. The more the population, the more food needs. One way to deal with this problem is aquaponic cultivation. Aquaponics is a modern practical farming system that integrates plant cultivation systems with aquatic animal cultivation. In aquaponics cultivation there are factors that need to be considered. One of these success factors is the Temperature and Automatic Feeder in the pond. To get the temperature needed by the fish, temperature control is carried out using the DS18B20 sensor. When the fish pond temperature drops below 28°C, the heater will automatically turn on to raise the pond temperature, and when the pond temperature rises above 32°C, the peltier will turn on and start lowering the pond temperature. Feeding is one of the success factors for aquaponics. If the feed given does not match the weight and age of the fish, the growth of the fish can be disrupted, causing the fish to die. Automatic feeding uses the RTC module as the set time and the servo motor as the opening valve for the fish feed container. Fish were fed at 08.00, 12.00, and 17.00. The average error obtained after validating the DS18B20 sensor is 0.61. The accuracy obtained is 98.05%. The ratio of fish RGR before and after the control system was installed was 7.14% and 11.2 The fish FCR values before and after the control system was installed were 12.50% and 21.07%. The plant growth rates before and after the control system was installed were 22.9% and 33.71%.]]>
<![CDATA[Battery Protection System Against Undervoltage and Overvoltage in Off-Grid Systems Photovoltaic ]]>
<![CDATA[Dwi Nur Fitriyanah]]>;
<![CDATA[Nicken Ayu Febrianti Soeyoto]]>;
<![CDATA[Imam Abadi]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 8 No. 2 (2022) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v8i2.a14009
<![CDATA[Electrical energy at this time is widely used by most humans, of course also disturbances in the distribution of electricity cause inhibition of daily human activities. Disturbances that occur can be classified into various kinds, one example is Undervoltage and overvoltage. Of course, these disturbances can arise when the use of electrical loads that are sensitive to damage. To secure electrical loads that are sensitive to damage, a control system is made overvoltage and undervoltage using a microcontroller Arduino Mega and the actuator is a relay. This research tries to solve the problem of over voltage, under voltage, and unbalanced voltage with a visual basic-based voltage protection system. This system research uses visual basic as an interface and as a data logger to facilitate operators in analyzing disturbances, and with the help of the Arduino Mega2560 microcontroller which can be used to process and send data to the visual base. Thus, this research is expected to help users to e easily monitor and analyze disturbances.]]>
<![CDATA[Performance of Workability and Compressive Strength on Self-Compacting Geopolymer Concrete Based On High-Calcium Fly Ash With Addictive Admixture ]]>
<![CDATA[Yuyun Tajunnisa]]>;
<![CDATA[Nur Achmad Husin]]>;
<![CDATA[Sigit Darmawan]]>;
<![CDATA[Ridho Bayuaji]]>;
<![CDATA[Raden Buyung Anugraha]]>;
<![CDATA[Arwinda Aribah Cahyani]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 9 No. 1 (2023) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v9i1.a16237
<![CDATA[Geopolymer concrete has been developed as a replacement for conventional concrete with other pozzolan materials, which have a high silicate alumina content. Fly ash is a material that contains a high silicate alumina of 22%. The high content of Al and Si increases the compressive strength of concrete. High-calcium fly ash is abundantly found in Indonesia. However, it has not been widely used for industry or research, and this is due to the fast hardening time of concrete. Therefore, it has the potential to be developed. High-quality concrete has a low cement water factor that causes low workability in concrete. Self-compacting geopolymer concrete (SCGC) has been developed as a high-quality concrete innovation with high workability. Concrete is produced by using gravel, sand, fly ash, alkaline activator, and water materials. This study used 14 Molar levels of NaOH. The variations used were 0%, 3%, 5%, and 7% superplasticizers (SP) made from polycarboxylate. This study used a dry mixing method to overcome the setting time on concrete. The results show that the workability that can be achieved is 645mm, and the compressive strength achieved is 41.7 Mpa]]>
<![CDATA[Environmental Effects of Sulphate on Conventional Concrete Based on Portland Composite Cement ]]>
<![CDATA[Yuyun Tajunnisa]]>;
<![CDATA[Nur Ahmad Husin]]>;
<![CDATA[M. Sigit Darmawan]]>;
<![CDATA[M. Faishal Darmawan]]>;
<![CDATA[Suwandi]]>;
<![CDATA[Mitsuhiro Shigeishi]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 9 No. 1 (2023) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v9i1.a16230
<![CDATA[Concrete performances have weaknesses; one of those weaknesses is that it is significantly affected when put in a high sulfate and chloride environment. This study aims to investigate sulfate's effect on PCC concrete's performance. In this research, PCC concrete was immersed in water for 28 days and conducted after the casting. After being soaked in water, three immersed specimens were removed and immersed in magnesium sulfate solution for 24 days and 84 days, whereas three others were removed and immersed in natrium sulfate solution for 24 days and 84 days. The observation showed that PCC concrete's average compressive strength test with water immersion was 42.17 Mpa. It meets the SNI 2847:2019 Indonesian standard for sulfate classification S1. The specimens decreased to 30.74 Mpa after being soaked in the magnesium sulfate solution for 28 days and again reduced to 25.39 Mpa at 84 days. The average compressive strength of specimens bathed in the sodium sulfate solution for 28 days was 32.19 Mpa. It decreased to 28.03 Mpa at the age of 84 days. The results of this study show that the compressive strength of PCC concrete soaked in sodium sulfate meets the SNI 2847:2019 standard for sulfate classification S1, which is more than 28 Mpa. The compressive strength of PCC concrete immersed in magnesium sulfate for 1 month (28 days) is more than 28 MPa. It meets the standard as well. Yet, the compressive strength of PCC concrete soaked in magnesium sulfate for 3 months (84 days) does not meet the standard.]]>
<![CDATA[Computational Fluid Dynamics (CFD) Simulation of Mixing Tank at Milk Powder Factory to Reduce Material Losses ]]>
<![CDATA[Agus Surono]]>;
<![CDATA[Achmad Dwitama Karisma]]>;
<![CDATA[Muchamad Kurniawan Dwi Febrianto]]>;
<![CDATA[Fitriah Dwi Mulyani]]>;
<![CDATA[Daril Ridho Zuchrillah]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 9 No. 1 (2023) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v9i1.a16323
<![CDATA[Industrial milk powder production applies the principle of a spray dryer. In the powdered milk industry using a spray dryer, there are still some problems in actual conditions such as fouling in the heat exchanger and losses. Losses are lost material or time so that result in losses for the company. The importance of finding material losses as soon as possible it is possible to make a solution so that initially unknown material is wasted in vain can be used as a finished good. Steps taken to resolve the problem material losses is to identify problems and data by making mapping losses according to actual conditions. After that, a CFD mixing tank simulation can be performed on Ansys with the aim of the simulation is to get the contour of the foaming phenomenon and find out the height the phenomenon of foaming (foam) with the properties set up begins at the beginning of making geometric designs with the size of the tank is 3.5 m and uses a marine propeller type, then proceeds with meshing In geometry, meshing here uses the automatic meshing method due to the limited analysis students. after that the solving stage is carried out by inputting data such as density, viscosity and input multiphase (mixture), viscous (Large Eddy Simulation), as the boundary conditions of the geometry, after that by making a plane from the results of running to form a plane in geometry, then choose the results of the contour volume fraction to find out the phenomena that occur in mixing tank so that conclusions and solutions can be drawn. Based on the results of data analysis and the field in the form of mapping and data on quantity losses, there are still some material losses in the form of wet and dry losses that have not been identified, initially the percentage ratio of material losses is 40.57% to 9%. One of the biggest contributors to material wet losses is mixing tanks which simulated until it is known that there is a foaming phenomenon. It interferes with the way it works level sensor which causes less maximum withdrawal of milk liquid by the pump. The best solution right way to reduce losses that occur in the mixing tank is to close the valve mixing tank output when showing 1.8% or can be rounded to 2% for safety pump. The liquid that is used as a product is 270 liters which is equivalent to 113 kg. If the calculation is carried out, the company can store 8,505 kg/month of powder.]]>
