ARRUS Journal of Engineering and Technology
ARRUS Journal of Engineering and Technology preserves prompt publication of manuscripts that meet the broad-spectrum criteria of scientific excellence. Areas of interest include, but are not limited to: Aerospace Engineering Architecture Evaluations Automation and Mechatronics Engineering Bioengineering Chemical Technology Civil and Architecture Engineering Computer Science Construction Control Systems Engineering Data Engineering Electrical, Electronics and Computer Engineering Engineering Mathematics Engineering Science Environmental Engineering and technology Fluid Engineering Genetic Algorithms Information Engineering and Technology Information Theory Marine and Agriculture engineering Material and Chemical Engineering Materials & Technology Engineering Mechanical, Industrial and Manufacturing Engineering Nuclear Engineering Optical Engineering Petroleum and Mining Engineering Petroleum Engineering Physics Robotics & Automation Engineering Software Engineering Statistical Techniques Thermodynamics
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<![CDATA[Quest For Convergence Solution Using Hybrid Genetic Algorithm Trained Neural Network Model For Metamorphic Malware Detection ]]>
<![CDATA[Ojugo, Arnold Adimabua]]>;
<![CDATA[Obruche, Chris Obaro]]>;
<![CDATA[Eboka, Andrew Okonji]]>
<![CDATA[ ARRUS Journal of Engineering and Technology Vol. 2 No. 1 (2022) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia ]]>
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DOI: 10.35877/jetech613
<![CDATA[An unstable economy is rife with fraud. Perpetrated on customers, it ranges from employees’ internal abuse to large fraud via high-value contracts cum control breaches that impose serious consequences to biz. Loyal employees may not perpetrate fraud if not for societal pressures and economic recession with its rationalization that they have bills to pay and children to feed. Thus, the need for financial institutions to embark on effective measures via schemes that will aids both fraud prevention and detection. Study proposes genetic algorithm trained neural net model to accurately classify credit card transactions. Compared, model used a rule-based system to provide it with start-up solution and it has a fraud catching rate of 91% with a consequent, false alarm rate of 9%. Its convergence time is found to depend on how close the initial solution space is to the fitness function, and for recombination and mutation rates applied.]]>
<![CDATA[Futsal Field Selection Application Using Mobile-GIS and GPS with Dijkstra's Algorithm Method (Lhokseumawe City Case Study) ]]>
<![CDATA[Triandi, Rahmat]]>;
<![CDATA[Asrianda]]>;
<![CDATA[Rosnita, Lidya]]>
<![CDATA[ ARRUS Journal of Engineering and Technology Vol. 2 No. 1 (2022) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia ]]>
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DOI: 10.35877/jetech672
<![CDATA[Futsal field rental is a business engaged in the field of community service in the field of futsal sports. Currently in lhokseumawe city there are 10 futsal fields located in various places, ranging from around campus, office areas, to densely populated settlements. This resulted in many of the people who do not know the location of the futsal field and also the nearest route that can be passed. So it takes an application that can provide information on the futsal field in lhokseumawe city along with the nearest route that can be passed. Determining the nearest route passed to the location of the futsal field can only be done on nodes that have been defined by the system. Dijkstra's algorithm was chosen because it operates thoroughly against existing nodes, and generates the shortest trajectory of all nodes so that it will produce the nearest route optimally. To test the accuracy of the nearest route the results of dijkstra algorithm implementation are used another software that is quantum GIS. This is done to see if the resulting path is correct. From the test results obtained the path obtained is the same as quantum GIS calculations with a similarity value of 100%. Black box testing is used to test the functionality of the menus in the system, and the test results in terms of the functionality of the menus on the system run as desired and run well. The system is good to use.]]>
<![CDATA[Efforts to Reduce the Temperature of the Coolant in the Radiator with PCM ]]>
<![CDATA[Suhartoyo]]>
<![CDATA[ ARRUS Journal of Engineering and Technology Vol. 2 No. 1 (2022) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia ]]>
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DOI: 10.35877/jetech706
<![CDATA[This study aims to determine the effect of using PCM in reducing the temperature of the water entering the radiator from the engine. Two types of PCM used are made of aluminum and ST 37 steel. They are made like a box measuring 8 cm x 8 cm with a thickness of 2 mm, the center hole is 3.5 cm in diameter, totaling eight pieces. The Machine used is L 300 Colt engine. The results of the study explained that the decrease in engine temperature after using PCM reached 17.50C. While the use of PCM is very effective where the water coming out of the machine can be reduced by 17,830C. Engine speed at stationary conditions (800 rpm – 1100 rpm) aluminum PCM is more effective, but at engine speed starting (1250 rpm – 2000 rpm), the effective PCM is ST 37 steel.]]>
<![CDATA[The Effect of Downstream Flow Resistance for Kerosene and Water Separation on Efficiency T-Junction ]]>
<![CDATA[Karminto]]>;
<![CDATA[Suhartoyo]]>
<![CDATA[ ARRUS Journal of Engineering and Technology Vol. 2 No. 1 (2022) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia ]]>
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DOI: 10.35877/jetech710
<![CDATA[This study aims to determine the separation of kerosene and water in a piping installation. It is very important to do research because it can reduce problems that arise in the distribution of drilling oil to further processing and distribution. T-Junction is a method used in this study, because the separator method is rarely used. The separation of kerosene and water types in the test using the T-Junction method, variations in downstream flow resistance of 42%, 57% and 72% resulted in a large kerosene separation efficiency of 100% at a mixed superficial velocity of 0.35 m/s, Jw= 0.25 m/s Jk = 0.10 m/s and at mixed superficial velocity 0.47 m/s, Jw = 0.22 m/s Jk=0.25 m/s, while 99% efficiency occurs at mixed superficial velocity 0 ,20 m/s , Jw= 0.10 m/s and Jk = 0.10 m/s. Water cut also greatly influences the phase separation. The lower the water cut, the higher the peak separation efficiency achieved]]>
<![CDATA[Novel Probiotic Isolation of Coconut Water's Helpful Lactic Acid Bacteria Cure Covid-19 Patients ]]>
<![CDATA[Suryani, Suryani]]>;
<![CDATA[Purnawati , Yuliesi]]>;
<![CDATA[Gemaeka Putri, Sindy]]>;
<![CDATA[Rahmawati, Rahmawati]]>;
<![CDATA[Akbar , Yustitia]]>;
<![CDATA[Yusra , Yusra]]>
<![CDATA[ ARRUS Journal of Engineering and Technology Vol. 2 No. 1 (2022) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia ]]>
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DOI: 10.35877/jetech724
<![CDATA[Probiotics from coconut water lactic acid bacteria have not isolated nor identified them, and no one has studied that these probiotics can help cure Covid-19 patients. This study aimed to isolate and identify probiotic lactic acid bacteria in coconut water, both morphologically, physiologically, and biochemically. Further studied his ability to help cure Covid-19 patients. Using coconut water samples, probiotics are isolated by isolating lactic acid bacteria through dilution methods and pour plate methods. The medium used is MRSA+ CaCO3 0.3%. Physiological and morphological identification. The following identification is to perform biochemical tests such as the Gram test. The results showed that there were 73 bacterial isolates and 24 fungal isolates, consisting of 4 species of bacteria, Pediococcus sp, Lactobacillus paracasei, and Lactobacillus plantarum, as well as candida sp and rhizopus fungi. In comparison, the results of the antimicrobial analysis showed that Lactobacillus plantarum has better antimicrobial ability against the pathogen bacteria Pseudomonas aureginosa. Lactobacillus plantarum's antimicrobial ability is less good against S. aureus bacteria. These findings suggest that probiotics from coconut water can be isolated and may aid the healing of Covid-19 patients. This study has implications that in the future Covid-19 patients can be helped with coconut water.]]>
<![CDATA[Quest For Convergence Solution Using Hybrid Genetic Algorithm Trained Neural Network Model For Metamorphic Malware Detection ]]>
<![CDATA[Arnold Adimabua Ojugo]]>;
<![CDATA[Chris Obaro Obruche]]>;
<![CDATA[Andrew Okonji Eboka]]>
<![CDATA[ ARRUS Journal of Engineering and Technology Vol. 2 No. 1 (2022) ]]>
Publisher : <![CDATA[PT ARRUS Intelektual Indonesia ]]>
Show Abstract
|
Download Original
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Original Source
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Check in Google Scholar
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DOI: 10.35877/jetech613
<![CDATA[An unstable economy is rife with fraud. Perpetrated on customers, it ranges from employees’ internal abuse to large fraud via high-value contracts cum control breaches that impose serious consequences to biz. Loyal employees may not perpetrate fraud if not for societal pressures and economic recession with its rationalization that they have bills to pay and children to feed. Thus, the need for financial institutions to embark on effective measures via schemes that will aids both fraud prevention and detection. Study proposes genetic algorithm trained neural net model to accurately classify credit card transactions. Compared, model used a rule-based system to provide it with start-up solution and it has a fraud catching rate of 91% with a consequent, false alarm rate of 9%. Its convergence time is found to depend on how close the initial solution space is to the fitness function, and for recombination and mutation rates applied.]]>
<![CDATA[Efforts to Reduce the Temperature of the Coolant in the Radiator with PCM ]]>
<![CDATA[Suhartoyo]]>
<![CDATA[ ARRUS Journal of Engineering and Technology Vol. 2 No. 1 (2022) ]]>
Publisher : <![CDATA[PT ARRUS Intelektual Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.35877/jetech706
<![CDATA[This study aims to determine the effect of using PCM in reducing the temperature of the water entering the radiator from the engine. Two types of PCM used are made of aluminum and ST 37 steel. They are made like a box measuring 8 cm x 8 cm with a thickness of 2 mm, the center hole is 3.5 cm in diameter, totaling eight pieces. The Machine used is L 300 Colt engine. The results of the study explained that the decrease in engine temperature after using PCM reached 17.50C. While the use of PCM is very effective where the water coming out of the machine can be reduced by 17,830C. Engine speed at stationary conditions (800 rpm – 1100 rpm) aluminum PCM is more effective, but at engine speed starting (1250 rpm – 2000 rpm), the effective PCM is ST 37 steel.]]>
<![CDATA[Novel Probiotic Isolation of Coconut Water's Helpful Lactic Acid Bacteria Cure Covid-19 Patients ]]>
<![CDATA[Suryani Suryani]]>;
<![CDATA[Yuliesi Purnawati]]>;
<![CDATA[Sindy Gemaeka Putri]]>;
<![CDATA[Rahmawati Rahmawati]]>;
<![CDATA[Yustitia Akbar]]>;
<![CDATA[Yusra Yusra]]>
<![CDATA[ ARRUS Journal of Engineering and Technology Vol. 2 No. 1 (2022) ]]>
Publisher : <![CDATA[PT ARRUS Intelektual Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.35877/jetech724
<![CDATA[Probiotics from coconut water lactic acid bacteria have not isolated nor identified them, and no one has studied that these probiotics can help cure Covid-19 patients. This study aimed to isolate and identify probiotic lactic acid bacteria in coconut water, both morphologically, physiologically, and biochemically. Further studied his ability to help cure Covid-19 patients. Using coconut water samples, probiotics are isolated by isolating lactic acid bacteria through dilution methods and pour plate methods. The medium used is MRSA+ CaCO3 0.3%. Physiological and morphological identification. The following identification is to perform biochemical tests such as the Gram test. The results showed that there were 73 bacterial isolates and 24 fungal isolates, consisting of 4 species of bacteria, Pediococcus sp, Lactobacillus paracasei, and Lactobacillus plantarum, as well as candida sp and rhizopus fungi. In comparison, the results of the antimicrobial analysis showed that Lactobacillus plantarum has better antimicrobial ability against the pathogen bacteria Pseudomonas aureginosa. Lactobacillus plantarum's antimicrobial ability is less good against S. aureus bacteria. These findings suggest that probiotics from coconut water can be isolated and may aid the healing of Covid-19 patients. This study has implications that in the future Covid-19 patients can be helped with coconut water.]]>
<![CDATA[Futsal Field Selection Application Using Mobile-GIS and GPS with Dijkstra's Algorithm Method (Lhokseumawe City Case Study) ]]>
<![CDATA[Rahmat Triandi]]>;
<![CDATA[Asrianda]]>;
<![CDATA[Lidya Rosnita]]>
<![CDATA[ ARRUS Journal of Engineering and Technology Vol. 2 No. 1 (2022) ]]>
Publisher : <![CDATA[PT ARRUS Intelektual Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.35877/jetech672
<![CDATA[Futsal field rental is a business engaged in the field of community service in the field of futsal sports. Currently in lhokseumawe city there are 10 futsal fields located in various places, ranging from around campus, office areas, to densely populated settlements. This resulted in many of the people who do not know the location of the futsal field and also the nearest route that can be passed. So it takes an application that can provide information on the futsal field in lhokseumawe city along with the nearest route that can be passed. Determining the nearest route passed to the location of the futsal field can only be done on nodes that have been defined by the system. Dijkstra's algorithm was chosen because it operates thoroughly against existing nodes, and generates the shortest trajectory of all nodes so that it will produce the nearest route optimally. To test the accuracy of the nearest route the results of dijkstra algorithm implementation are used another software that is quantum GIS. This is done to see if the resulting path is correct. From the test results obtained the path obtained is the same as quantum GIS calculations with a similarity value of 100%. Black box testing is used to test the functionality of the menus in the system, and the test results in terms of the functionality of the menus on the system run as desired and run well. The system is good to use.]]>
<![CDATA[The Effect of Downstream Flow Resistance for Kerosene and Water Separation on Efficiency T-Junction ]]>
<![CDATA[Karminto]]>;
<![CDATA[Suhartoyo]]>
<![CDATA[ ARRUS Journal of Engineering and Technology Vol. 2 No. 1 (2022) ]]>
Publisher : <![CDATA[PT ARRUS Intelektual Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.35877/jetech710
<![CDATA[This study aims to determine the separation of kerosene and water in a piping installation. It is very important to do research because it can reduce problems that arise in the distribution of drilling oil to further processing and distribution. T-Junction is a method used in this study, because the separator method is rarely used. The separation of kerosene and water types in the test using the T-Junction method, variations in downstream flow resistance of 42%, 57% and 72% resulted in a large kerosene separation efficiency of 100% at a mixed superficial velocity of 0.35 m/s, Jw= 0.25 m/s Jk = 0.10 m/s and at mixed superficial velocity 0.47 m/s, Jw = 0.22 m/s Jk=0.25 m/s, while 99% efficiency occurs at mixed superficial velocity 0 ,20 m/s , Jw= 0.10 m/s and Jk = 0.10 m/s. Water cut also greatly influences the phase separation. The lower the water cut, the higher the peak separation efficiency achieved]]>
