cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Michaud, Patricius F
Contact Email
jurnalmecomare@gmail.com
Phone
+6281360000891
Journal Mail Official
trigin@pelnus.ac.id
Editorial Address
Jl. Cikutra Baru, Bandung, Provinsi Jawa Barat
Location
Kab. bandung,
Jawa barat
INDONESIA
INTERNATIONAL JOURNAL OF MECHANICAL COMPUTATIONAL AND MANUFACTURING RESEARCH
Published by Trigin Publisher
ISSN : 23014148     EISSN : 29623391     DOI : 10.35335/MECOMARE
Core Subject : Engineering,
Automotive Engineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Mechanical Engineering
International Journal of Mechanical Computational And Manufacturing Research invites you to consider submitting original research papers for possible publication after peer review. The scope of this international, scholarly journal is aimed at rapid dissemination of new ideas and techniques and to provide a common forum for significant research and new developments in areas of Mechanical Computational And Manufacturing Research.
Arjuna Subject : Teknik (semua kategori) - Komputasi Mekanik
Articles 95 Documents
 5   6   7   8   9 
Comparasion of composition of brake pad hardness and wearness Mulia Mulia
International Journal of Mechanical Computational and Manufacturing Research Vol. 12 No. 2 (2023): August : Mechanical Computational And Manufacturing Research
Publisher : Trigin Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/computational.v12i2.123

Abstract

This study aims to identify the most optimal material composition in achieving the best combination of hardness and wear. The experimental method was conducted using a special test bed designed to test the mechanical properties of various material compositions. The material specimens used were weighed before and after the test to calculate the wear rate by observing the change in specimen mass. The results showed that the 50:50 material composition performed significantly better than the 60:40 composition in terms of hardness and wear properties. These findings suggest that the 50:50 composition may be a superior choice in various applications where a combination of strength and wear resistance is required, such as in the manufacturing industry, materials engineering, or the automotive sector. This research provides valuable insights into material selection that can improve the performance and durability of the final product.
Analysis of the effect of operational load fluctuations on heavy vehicle gearbox wear Mulia Mulia; Supriadi Supriadi; Suardi Suardi
International Journal of Mechanical Computational and Manufacturing Research Vol. 12 No. 2 (2023): August : Mechanical Computational And Manufacturing Research
Publisher : Trigin Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/computational.v12i2.124

Abstract

This research focuses on the wear analysis of heavy vehicle gearbox systems, with particular emphasis on the case study of operational load fluctuations as a factor influencing wear rates. Heavy vehicles play a central role in various industries, and gearboxes are key components that affect operational performance and reliability. In this study, we collected operational data from various heavy vehicles operating under various conditions and environments. Through rigorous statistical analysis, we were able to identify a significant relationship between operational load fluctuations and gearbox wear rates. The results indicate that an increase in operational load fluctuations can proportionally increase the wear rate. These results have important implications in the development of smarter and more efficient maintenance strategies for heavy vehicles, which can reduce unexpected maintenance costs and increase gearbox service life. In addition, this study also confirmed that the basic assumptions in regression analysis, such as normality of residuals, homoscedasticity, and independence of residuals, were well met. This validates the results of the regression analysis and provides a solid basis for decision-making in the context of heavy vehicle maintenance. Recommendations for further research development include more detailed data collection, the use of more advanced analysis methods, and the application of sensor and IoT technologies for real-time monitoring. With continued research in this area, we can advance our understanding of wear on heavy vehicle gearboxes and support the development of smarter maintenance strategies in the heavy transportation industry.
The Development of the Usage of Blockchain for Waqf and Zakat Globally: A Bibliometric Study Budi Santoso, Tulus; Kusuma, Akhmad
International Journal of Mechanical Computational and Manufacturing Research Vol. 12 No. 3 (2023): November: Mechanical Computational And Manufacturing Research
Publisher : Trigin Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/computational.v13i3.120

Abstract

Zakat and waqf funds in the global scope are equivalent to 1% of the total GDP in the world. However, the usage of zakat and waqf funds is still not optimal. Blockchain could be used to supervise the management of the waqf and zakat. This study has a purpose for the topic development of previous studies related to the usage of blockchain for zakat and waqf management globally. This study used the bibliometric method to gather and analyze the secondary data. The data were collected from the Web of Science (SCI) website from 1979-2023. There were 415 metadata documents found and would be analyzed using R Studio software. The result showed that the majority of the total documents as in previous studies were article type. The co-authorship per paper was 23.13% from 415 documents. The affiliation countries of the authors with the biggest papers were Indonesia and Malaysia. They were also the two words that were most frequently used both in the abstract and in the title of the previous studies.
Lightning arrester aging rate due to contamination by soluble pollutants Adnan, Sri Reski; Amali, Lanto; Mohamad, Yasin
International Journal of Mechanical Computational and Manufacturing Research Vol. 12 No. 4 (2024): February : Mechanical Computational And Manufacturing Research
Publisher : Trigin Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The leakage current in the lightning arrester can be used as an indicator to determine the aging level of the arrester. Leakage current is influenced by contaminants in the arrester insulation. This research analyzes the effect of soluble contamination on the internal and external leakage current of lightning arresters as an indicator of arrester degradation. The contaminant used is NaCl (Sodium Chloride) which is dissolved in water, and a ZnO type lighting arrester to determine the level of NaCl contamination, the ESDD (Equivalent Salt Deposit Density) method is used. Lightning arresters that have been contaminated are measured for internal and external leakage currents flowing through the arrester insulation. Based on the experiments that have been carried out, the increase in leakage current in the internal lightning arrester for light, medium and heavy levels of contamination increases by an average of 30% for all test voltages. When compared with the international standard IEC 61643-1 which is determined at 1 mA, the internal leakage current value for light, medium and heavy pollution of the ZnO type Lightning arrester still meets the standard. However, if you use the PLN testing standard, namely 150 µA, the internal leakage current value for light, medium and heavy pollution of the ZnO type Lightning arrester does not meet the standard. Meanwhile, with low and medium contamination, there is no leakage current that occurs on the external part of the Lightning arrester. significant change
Quality control of plastic sack products using the DMAIC method at PT. XYZ Ismail, Ismail; Marwan, Marwan
International Journal of Mechanical Computational and Manufacturing Research Vol. 12 No. 4 (2024): February : Mechanical Computational And Manufacturing Research
Publisher : Trigin Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/computational.v13i4.136

Abstract

PT. XYZ is a company engaged in the production of plastic sacks which are used for various industrial purposes. There are several types of defects in plastic sacks, namely, torn sacks, inappropriate sack brands, and slanted seams. This research aims to determine the level of product defects, factors causing product defects and provide suggestions for improvements to the production process at PT. XYZ. This research uses the six sigma method through the DMAIC stages (Define, Measure, Analyze, Improve and Control). Based on research results, the defect rate for plastic sack products was 2.72%, while the average level was 3.9 sigma. There are several factors that cause defects in plastic sack products, namely human factors, machines, work methods and materials. Proposed improvements to improve product quality at PT. XYZ there are several factors that must be improved, namely, humans are carrying out training and directing employees to follow SOPs, machines are making continuous maintenance schedules according to machine capacity so that they are always in good condition, work method factors the company must make additional SOPs so that work method problems are reduced. In the future, material is tightening the process of checking the inspection of threads that are not good properly.
Micro analysis of the structure of the boiler pipe after experiencing the heating process and without heating Mulia, Mulia; Suardi, Suardi; Susilo, Hendra
International Journal of Mechanical Computational and Manufacturing Research Vol. 12 No. 3 (2023): November: Mechanical Computational And Manufacturing Research
Publisher : Trigin Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/computational.v13i3.151

Abstract

Piping is a tool that functions to drain fluid from one place to another. The problem at Factory X is the failure of the boiler pipe. Pipe failures that occur are known by indications of leaks in the boiler. The initial process of a failure in an ordinary pipe is characterized by corrosion. The problem of corrosion in boilers is usually caused by feed water or feed water which still contains high oxygen levels. The purpose of the research is to determine the microstructure of the boiler pipe after experiencing the combustion process in the combustion chamber. This research method is an analysis of the chemical composition of boiler pipe material, Visual / Macro and Micro Testing. From the results of the inspection, observation, it can be concluded, the cause of pipe damage on the outside of the fire side caused by erosion corrosion is classified as very severe because it is beyond the optimum thickness of the pipe. Specimen A which is a material that has not received heat treatment has a microstructure, where the condition of the fearlite area is greater than specimen B with heat treatment.
The influence of train noise in residential areas (case study in a residential area near railways in winongo district Oktaria, Dhina Setyo; Priyanto, Sapto; Budiarto, Balla Wahyu
International Journal of Mechanical Computational and Manufacturing Research Vol. 13 No. 1 (2024): May: Mechanical Computational And Manufacturing Research
Publisher : Trigin Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/computational.v13i1.154

Abstract

Train transportation is a popular choice for the mobility of Indonesian people, especially in areas with extensive railway networks such as Java. However, the impact of noise produced by trains can pose a serious problem for residents living near train tracks. This research examines the influence of train noise on residential areas in Winongo Village, Madiun City, focusing on comfort factors, health, and noise mitigation efforts. The aim is to determine the effect of noise on residents living around the railway tracks. The research method employed is quantitative, with both primary and secondary data collection. Primary data were obtained through questionnaires distributed to residents living near the railway line. The results of data analysis indicate that the variable related to health, with a Sig value of 0.744, shows that the significance value is greater than 0.05, suggesting that health issues due to train noise may not be significant in the residential area of Winongo Village. The influence of the comfort variable (X1) on the noise variable (Y) is 0.558, indicating a moderate impact, while the influence of noise mitigation efforts (variable X2) on noise is 0.106.00, suggesting a minor impact. Based on these findings, this research can serve as a basis for formulating better policies concerning the influence of train noise in residential areas
The Impact of Implementing Total Quality Management (TQM) in Construction Companies: Focus on Employee Performance Putry, Miranti; Restian, Ikmal
International Journal of Mechanical Computational and Manufacturing Research Vol. 13 No. 1 (2024): May: Mechanical Computational And Manufacturing Research
Publisher : Trigin Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/computational.v13i1.155

Abstract

The importance of Total Quality Management (TQM) in construction companies is examined in this research. This research was conducted to determine the magnitude of the influence of TQM on improving employee performance. Theoretical frameworks, TQM practices, and employee performance improvement in construction companies are all examined. It was found that the better the implementation of TQM, it will encourage an increase in employee productive behavior, and through increasing employee productive behavior, overall company performance will also increase. Discipline in continuous quality improvement, encourages increased productive behavior of construction company employees.
Application of Environmental Engineering in Improving Energy Transfer Efficiency Ridlo, M. Ainur; Anripa, Nuralfin; Purwaningrum, Shintawati Dyah; Agustin, Niyar Candra; Pramono, Susatyo Adhi
International Journal of Mechanical Computational and Manufacturing Research Vol. 13 No. 1 (2024): May: Mechanical Computational And Manufacturing Research
Publisher : Trigin Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/computational.v13i1.168

Abstract

This research has the main objective of discovering and analysing environmental techniques that are effective in improving energy transfer efficiency. This includes technologies and practices in various sectors such as renewable energy, energy infrastructure, waste management, and building efficiency. The research used a mixed methods approach, combining qualitative as well as quantitative data collection and analysis techniques. The methods used include literature review, surveys, interviews, and statistical modelling to comprehensively explore the research questions from multiple perspectives. The results show a significant positive correlation between education level and income. In addition, there were also significant differences in access to health services between different socioeconomic groups. The findings highlight the importance of interventions to promote equity in education and health. The study concludes that improving access to and quality of education and public health services can contribute significantly to poverty alleviation and reduction of socio-economic disparities. It recommends policies and programmes that focus on investments in these areas to promote more inclusive and sustainable development.
Application of Naïve Bayes Classifier Algorithm for Classification of Scholarship Recipients at SMA PGRI 2 Bandung Jayadi, Jayadi; Raharja, Agung Rachmat; Pramudianto, Angga; Muchsam, Yoki
International Journal of Mechanical Computational and Manufacturing Research Vol. 13 No. 2 (2024): August: Mechanical Computational And Manufacturing Research
Publisher : Trigin Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/computational.v13i2.169

Abstract

Education is one of the rights that each Indonesian citizen has. In this manner, there's a require for government consideration to assist underprivileged individuals in instruction, to be specific through grants. SMA II PGRI is one of the schools that organizes an underprivileged grant program, the grant is within the frame of educational cost waiver help. In its execution, officers regularly have trouble in deciding understudies who get grants based on foreordained criteria. In this way, it is fundamental to analyze information mining procedures utilizing naïve bayes classifiers in information preparing and is anticipated to be utilized to analyze grant grants for grant candidates. In this way it is fundamental to analyze information mining procedures utilizing naïve bayes classifiers in information handling and is anticipated to be utilized to analyze grants for grant candidates. Grant candidate information is carried out a information cleaning and decrease prepare so that the information is less but enlightening, so that it is appropriate for assist handling. At that point classification is done with Naïve Bayes classifier to deliver a classification likelihood demonstrate. The test brought about in an precision of 87.39% and was included within the great classification criteria.

Page 7 of 10 | Total Record : 95

 5   6   7   8   9 

Filter by Year

2020 2025


Reset
Filter By Issues
All Issue Vol. 14 No. 2 (2025): August: Mechanical Computational And Manufacturing Research Vol. 14 No. 1 (2025): May: Mechanical Computational And Manufacturing Research Vol. 13 No. 4 (2025): February: Mechanical Computational And Manufacturing Research Vol. 13 No. 3 (2024): November: Mechanical Computational And Manufacturing Research Vol. 13 No. 2 (2024): August: Mechanical Computational And Manufacturing Research Vol. 13 No. 1 (2024): May: Mechanical Computational And Manufacturing Research Vol. 12 No. 4 (2024): February : Mechanical Computational And Manufacturing Research Vol. 12 No. 3 (2023): November: Mechanical Computational And Manufacturing Research Vol. 12 No. 2 (2023): August : Mechanical Computational And Manufacturing Research Vol. 12 No. 1 (2023): May: Mechanical Computational And Manufacturing Research Vol. 11 No. 4 (2023): February: Mechanical Computational And Manufacturing Research Vol. 11 No. 3 (2022): November: Mechanical Computational And Manufacturing Research Vol. 11 No. 2 (2022): August: Mechanical Computational And Manufacturing Research Vol. 11 No. 1 (2022): May: Mechanical Computational And Manufacturing Research Vol. 10 No. 4 (2022): February: Mechanical Computational And Manufacturing Research Vol. 10 No. 3 (2021): November: Mechanical Computational And Manufacturing Research Vol. 10 No. 2 (2021): August: Mechanical Computational And Manufacturing Research Vol. 10 No. 1 (2021): May: Mechanical Computational And Manufacturing Research Vol. 9 No. 4 (2021): February: Mechanical Computational And Manufacturing Research Vol. 9 No. 3 (2020): November: Mechanical Computational And Manufacturing Research More Issue