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[Utilization of HVS Paper Waste for The Manufacture of Oxalic Acid ]]>
<![CDATA[Agung Subyakto]]>;
<![CDATA[Fiqrotul Wasiyah]]>;
<![CDATA[Linaniyyatul Masruroh]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 7 No. 2 (2021) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12962/j23378557.v7i2.a10067
<![CDATA[The purpose of this research is to determine the effect of time and temperature on the manufacture of oxalic acid from HVS paper waste by removing ink and alkali melting methods The research methodology began with the first stage, namely pre-treatment and then paper hydrolysis, weighing 600 grams of HVS paper waste. The HVS paper waste was put into a three-neck flask and 200 mL of 40% NaOH was added. The tools are assembled and set the time and temperature used. The time used is 60 minutes at a temperature of 55°C, 65°C, 75°C and 95°C, then a three-neck flask is heated. After heating is complete the solution is cooled. The filtrate was filtered into a 500 mL beaker glass then the remaining sediment was washed with hot aquadest into a beaker containing up to 400 mL of filtrate. The procedure was repeated for variations in time of 70, 80 and 90 minutes at temperatures of 55°C, 65°C, 75°C and 95°C, respectively. The second stage is crystallization of oxalic acid, pipette of the filtrate as much as 25 mL obtained from the hydrolysis results then added 10% CaCl2 to form a white precipitate of calcium oxalate. The precipitate was filtered then added 100 mL of H2SO4 4N so that the precipitate would break down into oxalic acid and calcium sulfate, then filtered and washed the remaining sediment using 96% ethanol. The filtrate is heated to a temperature of 70°C. The filtrate is cooled in ice water for about 24 hours to form oxalic acid crystals in the form of white needle crystals. The third stage is the calculation of the weight of oxalic acid (gr). The fourth stage is testing for oxalic acid using permanganate titration. Oxalic acid crystals were weighed as much as 0.3 grams then added 10 mL of distilled water and put into 250 mL Erlenmeyer, added 10 mL of H2SO4 4N. The solution is heated to a temperature of 60-70°C. In a hot state, the solution is titrated with 0.1 N potassium permanganate until the solution appears a pink color that does not disappear for 30 seconds. The fifth stage is the calculation of the yield (yield) of oxalic acid. The sixth stage is the melting test. The time and temperature in producing oxalic acid from the graph can be seen that the average temperature that produces the most oxalic acid is at 80 minutes and 65°C, which is 3.9 grams. The analysis results show that the melting point obtained is between 100-101 ° C. This happens because the oxalic acid in the research indicates that the oxalic acid corresponds to the actual melting point of oxalic acid based on the Indonesian National Standard (SNI), namely 101-102°C.]]>
<![CDATA[Fault Tolerant Control on Wind Turbine Speed Control Based on Bias Fault Estimation Method with Optimization l_0 Norm Constraint ]]>
<![CDATA[Putri Yeni Aisyah]]>;
<![CDATA[Katherin Indriawati]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 7 No. 2 (2021) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12962/j23378557.v7i2.a9033
<![CDATA[The availability of onshore wind power plant systems (PLTB) reaches 98 percent, but the maintenance costs required are still very high for the wind turbine generator system. Meanwhile, the availability of offshore PLTB is decreased by 60 percent due to the main cause of damage to some components in wind turbine systems. This study proposes the use of fault estimation methods of wind turbine system components in fault tolerant control (FTC) strategy. The error estimation method is built using the l0 norm constraint optimization. The optimization formulation with l0 norm constraint is derived by applying the compressed sensing technique so that the estimation of the bias error can be used to estimate the error of several components by a single observer. This answers the observability issues encountered in single observer use cases. The proposed implementation of observers with the FTC results in better response characteristics when compared to systems without FTC. Response characteristics on actuator errors of 0.3 to 1.3 per unit, system with observers resulting in a maximum undershoot value of 0.4 to 1 percent while systems without observers resulting in a maximum undershoot value of 6.2 to 26.4 percent. The characteristics of the response with the observer on sensor errors resulting 0.3 to 1.3 per unit resulting in value of 1.6 to 4 percent, 0 percent and 63.9 to 70.7 seconds. System without observers, with sensor errors of 0.3 to 1.3 per unit resulting in maximum undershoot, steady state error and settling time of 6.2 to 26.2 percent, 6.2 to 26.4 percent, and 0 seconds.]]>
<![CDATA[Bioethanol Production from Wastewater of Brown Sugar Home Industry in Kediri via Enzymatic Hydrolysis and Fermentation ]]>
<![CDATA[Soeprijanto]]>;
<![CDATA[Afan Hamzah]]>;
<![CDATA[Nabila Fara Anindya]]>;
<![CDATA[Putri Selly Mudyawati]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 7 No. 2 (2021) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12962/j23378557.v7i2.a10528
<![CDATA[Bioethanol is ethanol whose main ingredients are from plants and generally use a pharmaceutical process. Therefore, Indonesia still needs a more effective source of bioethanol as fuel. Bioethanol production from vegetable waste is a realistic solution, one example is waste from the brown sugar home industry. The purpose of this research is to innovate the production of bioethanol by utilizing sap sugarcane waste in a brown sugar industry home using the Enzyme Hydrolysis and Fermentation Method. The process of making bioethanol is the raw material preparation stage, the hydrolysis stage, and the fermentation stage. The first stage, the preparation of raw materials is done by filtering the molasses waste and then dissolving it with distilled water in 2000 mL Erlenmeyer. the second stage, the hydrolysis stage, is to hydrolyze the molasses solution according to the predetermined ratio variables, by going through two stages in the hydrolysis stage, namely liquefaction and saccharification. In the liquefaction process, -amylase is added at a temperature of 90oC and heated on a hot plate stirrer for 2 hours. Then the saccharification stage was carried out by adding the enzyme gluco-amylase at a temperature of 65oC for 4 hours. The third stage, the fermentation stage, was carried out with variations of bread and yeast tape with the additional variables of 5%, 10%, and 15% nutrient (2% urea and 3%). Fermentation will be carried out for 3 days. The results showed that the maximum sugar content was achieved by using a concentration ratio of sugarcane juice: water = 1:0 with an enzyme hydrolysis process of 196.08 g/L. The maximum bioethanol content after fermentation was 18.6% and reducing sugar of 10.98 g/L was achieved by using 10% baker's yeast at a concentration of sugar cane juice: water ratio = 1:1. The maximum bioethanol content after the fermentation process was 12.96% and the reducing sugar was 27.78 g/L was achieved using 10% tape yeast at a concentration ratio of sugarcane juice: water = 1:1.]]>
<![CDATA[Planning and Cost Analysis of Washing Porang Subber on Combination Machine for Washing and Cutting Porang Tuber ]]>
<![CDATA[Liza Rusdiyana]]>;
<![CDATA[Nanda Ela Sasmita]]>;
<![CDATA[Nur Husodo]]>;
<![CDATA[Eddy Widiyono]]>;
<![CDATA[M Lukman Hakim]]>;
<![CDATA[Rizaldy Hakim]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 7 No. 2 (2021) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12962/j23378557.v7i2.a11273
<![CDATA[The cleaning process plays an important role in producing hygienic porang tubers, so that later chips and porang flour have good quality. Currently, the home industry for processing porang tubers still uses a simple method, namely using a manual washing machine so that it requires a lot of energy and a long time. One alternative to increase efficiency and productivity is to make a porang tuber washing machine. In planning this machine, it begins with field studies and literature. Planning in designing this machine includes planning for motor power, shaft, bearing, pulley-belt, sprocket-chain and budget design, after calculating and getting results it is necessary to conduct experiments to get conclusions from this machine. In planning the calculation of the machine, it requires a motor power of 2.2 HP with a motor rotation of 1400 rpm and a shaft rotation of 35 rpm, a force of 25.6 N, a torque of 1.920 N.mm, the selling price of the tool is Rp. 15,970,000 and the payback period is achieved in 228.4 days or 28.5 weeks or 7.1 months]]>
<![CDATA[Bioethanol Production From Tapioca Solid Waste In A Batch Reactor ]]>
<![CDATA[Soeprijanto]]>;
<![CDATA[Siti Wulandari]]>;
<![CDATA[Mohamad Dwi Alfaridzi]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 8 No. 1 (2022) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12962/j23378557.v8i1.a10409
<![CDATA[Tapioca solid waste is a by-product of processing tapioca flour in the form of dregs and contains a lot of carbohydrates which can be developed benefits by treating the waste through an enzymatic process by hydrolysis as bioethanol. Bioconversion technology is an enzymatic conversion of materials by hydrolysis which can be used to increase the value of tapioca solid waste. The purpose of this research is to convert starch from solid waste of tapioca flour industry into bioethanol through enzyme hydrolysis and fermentation processes. This study was conducted to determine the effect of the ethanol content produced from the concentration of 50 gr/l, 100 gr/l, and 150 gr/l waste of tapioca concentrations with 10ml, 15, and 20ml enzymes. The cassava samples were hydrolyzed using Alpha-amylase enzymes with various concentrations of 10ml, 15, and 20ml and 10ml Glucoamylase enzymes. In the liquefaction process, glucose content is analyzed every 30 minutes for 2 hours, then in the saccharification process, glucose content is analyzed every 30 minutes for 3 hours. The acid hydrolyzate solution was adjusted to pH 4.5 and then fermented for 3 days and analyzed every 12 hours. From the results of the study, it was found that the optimal treatment variable was the concentration variable of 150 gr/l waste of tapioca (solid waste tapioca flour) with a concentration of 20 ml of Alpha-amylase enzyme. The ethanol content obtained from the fermentation process is 3.98% (v/v).]]>
<![CDATA[Corrosion Monitoring System On Concrete Using Concrete Resistivity Test Based On The Internet Of Things ]]>
<![CDATA[Dinda Karina]]>;
<![CDATA[Herry Sufyan Hadi]]>;
<![CDATA[Putri Yeni Aisyah]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 8 No. 1 (2022) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12962/j23378557.v8i1.a10616
<![CDATA[Reinforced concrete, which is currently widely used as the main material for the establishment of a building infrastructure, consists of cement and iron and steel, which have the potential for corrosion by the active and passive layers of concrete. So with the high potential for corrosion that causes cracks to break and the building collapses, it is necessary to monitor the corrosion rate which can be used as a preventive measure for corrosion in concrete structures. Corrosion that occurs is also greatly influenced by the permeability and resistance of the concrete which causes the gaps of other elements to enter the concrete structure and accelerates the corrosion rate of the concrete. This study designed a corrosion Monitoring system in concrete with an IoT-based concrete resistivity test by injecting the concrete through an electric current which can be monitored with the Blynk application according to the area of the concrete.]]>
<![CDATA[Optimation Front Upright Racing Car Using Finite Element Analysis ]]>
<![CDATA[Fitra Bagus Hendi Prabowo]]>;
<![CDATA[Rizaldy Hakim Ash-Shiddieqy]]>;
<![CDATA[Winarto]]>;
<![CDATA[Nur Husodo]]>;
<![CDATA[Mahirul Mursid]]>;
<![CDATA[Bayu Adhi Saputro]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 8 No. 1 (2022) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12962/j23378557.v8i1.a10785
<![CDATA[Upright is part of the car's suspension system that plays an important role in creating and comforting the car. Supporting driving safety, upright components must be designed to be light but strong to withstand loading when the car is in conditions of acceleration, deceleration and cornering. Not only strong as a benchmark, but components must also be lightweight, so we need a method, namely a topology optimization method. Using finite element software makes the optimization process very easy and very fast with maximum accuracy. The process is by inputting the model from CAD software, defining materials, input constraints and vector styles, meshing process, and finally the solution process. From the simulation results, it will be known the value of the solution in the form of stress, deformation and safety factor of the upright component. From several topology optimization designs, they will be compared to find out which is the best design which will be used as a design recommendation. By referring the result, 43% mass reduction is the best optimum design, its safety factor is 4.956.]]>
<![CDATA[Vanname Shrimp Health Monitoring System Using Internet of Things-based Image Processing Method ]]>
<![CDATA[Ummul Khoiriyah]]>;
<![CDATA[Herry Sufyan Hadi]]>;
<![CDATA[Putri Yeni Aisyah]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 8 No. 1 (2022) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12962/j23378557.v8i1.a10596
<![CDATA[Viruses are known to have attacked vaname shrimp, shrimp infected with the virus showed several abnormal things, including the appearance of a reddish color on the shrimp's body, and redness on the shrimp's tail. In healthy Vannamei Shrimp, the shrimp body shows a brownish color, and there is no reddish color on the tail and body of the shrimp. Implementation of a prototype of a shrimp health monitoring system needs to be done to determine the health condition of shrimp. This final project will produce a prototype that can monitor shrimp health, by adopting Artificial Intelligent (AI) learning technology for image processing and recognition. Presenting a prototype consisting of hardware and software analysis of healthy Vannamei shrimp for the purpose of monitoring the health of Vannamei shrimp thereby increasing the productivity of the Internet of Things (IoT) based ponds.]]>
<![CDATA[Hydroxyapatite Based Material: Natural Resources, Synthesis Methods, 3D Print Filament Fabrication, and Filament Filler ]]>
<![CDATA[Lulu Sekar Taji]]>;
<![CDATA[Deden Eko Wiyono]]>;
<![CDATA[Achmad Dwitama Karisma]]>;
<![CDATA[Agus Surono]]>;
<![CDATA[Eva Oktavia Ningrum]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 8 No. 1 (2022) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12962/j23378557.v8i1.a12830
<![CDATA[Hydroxyapatite is a biomaterial that has been recognized in terms of hard tissue engineering due to its similarity in composition to bioapatite. Moreover, abundant resources and diverse synthesis methods make hydroxyapatite easy to produce. The application in terms of 3D print-based network engineering is also being intensively explored due to hydroxyapatite scaffold fabrication process flexibility. In this review, various hydroxyapatite from natural sources, synthesis methods, hydroxyapatite-based 3D print filament fabrication techniques, as well as fillers used in the production of filaments are discussed.]]>
<![CDATA[Agent-Based Simulation Disaster Evacuation Awareness on Night Situation in Aceh ]]>
<![CDATA[Sinung Widiyanto]]>;
<![CDATA[Dimas Adi]]>;
<![CDATA[Rahul Vijay Soans]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 8 No. 1 (2022) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12962/j23378557.v8i1.a12799
<![CDATA[In 2004 at least 230,000 people were victims of the Aceh tsunami disaster. To prevent the recurrence of many victims, the Aceh government held an evacuation exercise in 2008. To improve effectiveness dan reduce the cost reduction during evacuations drills, simulation is the best option. Agent-Based Modeling is a simulation program that was employed for tsunami evacuation in Aceh. This study on tsunami evacuation using agent-based modelling presented and evaluated the different control parameters that affect the evacuation rate. Evacuation scenario during day or night has different environmental, agent base, road modelling, and population approach. The Road Network Model has explained that to analyze the effect of agents in the evacuation process, resident agents are presumed to know the direction and shortest path to the nearest evacuation points. This simulation designed in Netlogo is also able to assess the congestion possibility on the road network. The road network emphasized the different scenarios to discover the possibility of congestion points. Nighttime is proven to be the best scenario for performing the evacuation in the simulation. The key reason to select the night scenario is to maximize the effects of an evaluation of the road network. In addition, simulation using night scenarios is also expected to raise people’s awareness.]]>
