Technology Reports of Kansai University (ISSN: 04532198) is a monthly peer-reviewed and open-access international Journal. It was first built in 1959 and officially in 1975 till now by kansai university, japan. The journal covers all sort of engineering topic, mathematics and physics. Technology Reports of Kansai University (TRKU) was closed access journal until 2017. After that TRKU became open access journal. TRKU is a scopus indexed journal and directly run by faculty of engineering, kansai university.
Technology Reports of Kansai University (ISSN: 04532198) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are
in the following fields but not limited to:
The joining of metal material for pressurized tanks generally uses gas tungsten arc welding (GTAW) with the selected content, which has the character of being resistant to Corrosion and bending, AISI 304 L is often used as material for the tank. Still, a weakness that is often experienced by the content. Starts from Corrosion that can be caused by metals, environmental factors, and factors in the process of making tanks. With the various factors that influence the above, this research was conducted to determine the extent of material resistance to Corrosion and flexibility after the welding of GTAW. The method used is an experimental test of the material by first checking the content using ARL 3460 Optical Emission Spectrometer (OES). NDT-liquid dye penetrant to determine weld defects, then bending test to determine post-welding flexibility and corrosion resistance tests using the Ferric Chloride Pitting Method Test. The results showed that at 70 A current, there were no cracks that occurred after the face bend and root bend tests, but at 100A and 130A currents, the break occurred along with the specimens in the root bend test. The greatest bending stress at 130A and the weight loss of corrosion test results occur in samples with 70A welding currents
we’re concentrating on generating biogas from coffee grounds in this research. Anaerobic digestion of organic matter-laden effluents occurs in a digester. We made the digester’s biological characterisation using a mathematical model that describes the digester's actual behaviour, El-Fadel’s model. The modeling was carried out using step-by-step method, the Rang-Kutta method, this phenomenon is solved by biological equations. The results obtained satisfactorily reflect the output that explains the difference in the amount of biogas produced that varies from day to day, though linked to the liquid effluent's carbon content
This research aims to obtain the feasibility of Learning Management System (LMS) of E-Problem Based Learning (PBL) based on scientific communication skills and plagiarism checker. The type of research is Research & Development. The subjects of this study are experts and practitioners of information technology and students of graduate program in Madrasah Ibtidaiyah Teacher Education, using Natural Sciences learning materials. The research instrument is a Likert scale questionnaire. Data is analyzed by calculating the average results of the validation of three experts/practitioners, then the average results is interpreted through categorization and description of the results of plagiarism checker. The results show that the average expert/practitioner assessment of the feasibility of LMS prototype of E-PBL using scientific communication skills and plagiarism checker with the aspects of rationality, user friendly, user interface, prototype characteristics, website dashboard, semester learning plans, stages of running prototype, and evaluation is obtained by the average score of 4.78 (very valid). The results of the implementation of plagiarism checker in the LMS E-PBL obtain an average unique increase of 8.30%. Thus, the LMS E-PBL based on scientific communication skills and plagiarism checker is feasible to be implemented in learning. This research can contribute the findings of a website-based-learning LMS platform that is adaptive to problem-based learning and plagiarism checker, so that students can learn in groups independently under the teacher’s guidance without doing plagiarism
Carbon foam is lightweight material that reveals many unique properties which is good thermal conductivity and high mechanical strength. This study is to generate carbon foam from sucrose and was derived from 10g of sucrose and 10 wt% of boric acid. The process was continued with the foaming process in the oven at 120oC for 48 hours. The solid organic foam was continued to dehydrating process at 250oC for 16 hours with rate of 2oC/min in a box furnace. The carbonization temperature was 600oC, 700oC, 800oC and 1000oC for 2 hours with the similar heating rate of 2oC/min. The purpose for carbonization process is to create a high quality structure and properties of carbon foam where the carbon content in the material increases while the precursor is carbonized. Finding shows the density and porosity value of 1000oC carbonization temperature is the higher which is 0.600 g/cm3 and 50.08% respectively. Scanning Electron Microscope (SEM) shows the surface structure of temperature 1000oC has more pores than other temperatures during the carbonization process. Energy Dispersive Spectroscopy (EDS) analysis shows oxygen content in the range of 2.08 to 11.73 wt% in the carbon foams prepared in the range of 600oC to 1000oC by the carbonization process. The highest carbonization temperature of 1000oC reveals the mechanical properties which is 2.307 N/mm2 as the highest compressive strength. It is concluding that the higher the carbonization temperature gives the higher compressive strength and the density due to the increase in the material structure of the pore
Corn is one of the leading food that produces carbohydrates in Indonesia. It can grow well in hot and cold areas with sufficient rainfall and irrigation. However, each part of the corn is sensitive to several diseases, and it can reduce the quantity and quality of the corn result production. Damage of corn plant that is caused by the disease can be conducted by the disturbing process into the plant and make the plant died. The diseases can undermine corn plants by disrupting the processes inside the plant and make the plant died. Therefore, this study aims to design a system for detecting diseases and pests in corn plants using Certainty Factor and Fuzzy Sugeno methods. The Fuzzy Sugeno method is employed to identify diseases and pests in corn plants based on the degree of trust in the diseases of the corn plants. The degree of confidence in the disease can be obtained from the certainty level of the base system built by the Certainty Factor method. The experiments have been carried out to determine the accuracy of the Certainty Factor and Fuzzy Sugeno methods. Therefore, the detection system can work effectively and efficiently as well as minimize the amount of damaged corn production. We collected 15 diseases or pests and 48 symptoms, and the experiment results have obtained an accuracy of 85.16%
