Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry最新文献_第6页

Preliminary ECG Cloud-based Telecardiology System for Rural Areas 基于云的农村心电远程监护系统初步研究

Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry Pub Date : 2022-09-21 DOI: 10.1145/3557738.3557866

Timotius Christopher Tantokusumo, A. A. Iskandar, I. M. J. R. Artha

{"title":"Preliminary ECG Cloud-based Telecardiology System for Rural Areas","authors":"Timotius Christopher Tantokusumo, A. A. Iskandar, I. M. J. R. Artha","doi":"10.1145/3557738.3557866","DOIUrl":"https://doi.org/10.1145/3557738.3557866","url":null,"abstract":"According to the Ministry of Health of Republic Indonesia, cardiovascular disease the number of sufferers continues to increase every and ranks the highest cause of death in Indonesia. The most common CVD manifestation is atrial fibrillation. The CVD prevalence in rural areas of Indonesia is 1.3% and only one-third of CVD patients received preventive treatment. The low number of patients receiving preventive treatment is due to a shortage of active cardiologists and an unoptimized health care facility integration system in Indonesia. Therefore, a virtual access system equipped with a computer-aided diagnosis that connects a public health center in a rural area with cardiologists in a district hospital for better health care service performance. In this research, the virtual access system was developed by using Amazon Web Services along with ESP32 and micro-SD for simulating the ECG data transmission. The developed system can be accessed publicly and able to do cloud computation to detect atrial fibrillation. Furthermore, the developed system data transmission with the buffer method showed a result of 0% data loss in 1 minute, 5 minutes, 60 hours; and 0.0014% of extra data for 24 hours of transmission. Thus, the developed system has a high possibility for Holter monitoring and its implementation is not limited to ECG signal data transmission.","PeriodicalId":178760,"journal":{"name":"Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129859152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Controlling The Performance of Anti-lock Braking System at Various Tracks and Vehicle Conditions 在不同轨道和车辆条件下控制防抱死制动系统的性能

Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry Pub Date : 2022-09-21 DOI: 10.1145/3557738.3557945

Ghani Amri Rabbani, A. Syahriar, Dwi Astharini

引用次数: 0

Application of Six Sigma in Quality Improvement of Deodorant Products at PT Cedefindo 六西格玛在香体露产品质量改进中的应用

Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry Pub Date : 2022-09-21 DOI: 10.1145/3557738.3557831

Elfira Febriani Harahap, D. Hetharia, Almira Fabianca, A. Faradilla

引用次数: 0

Enhancing Sustainable Performance using Lean Competitive Manufacturing Strategy: A Case Study at Motor Vehicle Battery Company 运用精益竞争制造战略提高可持续绩效:以汽车电池公司为例

Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry Pub Date : 2022-09-21 DOI: 10.1145/3557738.3557845

I. A. Marie, Emelia Sari, Adriel Y. Hutagalung

{"title":"Enhancing Sustainable Performance using Lean Competitive Manufacturing Strategy: A Case Study at Motor Vehicle Battery Company","authors":"I. A. Marie, Emelia Sari, Adriel Y. Hutagalung","doi":"10.1145/3557738.3557845","DOIUrl":"https://doi.org/10.1145/3557738.3557845","url":null,"abstract":"PT GSB produces motor vehicle battery products. The problem experienced is that the production department cannot maintain its production achievements due to waste in the production process activities. Waste causes the production process to be inefficient as well as an increase in waste garbage. The purpose of this research is to analyze the results of mapping lean sustainable manufacturing and provide a proposed strategy to improve the performance of sustainable manufacturing in the company. The initial stage of the study was carried out by making sustainability value stream mapping (SVSM). The results of the analysis show that there is inappropriate processing, waiting, defect and transportation waste. Next is the calculation of the Sustainability Index (SI) and obtained a value of 144.3% which indicates the need for improvement to become a sustainable company. Based on the analysis using the Ishikawa Diagram, suggestions for improvement are given as strategy to improve sustainability performance in the company that is using a digital counter to facilitate the process of calculating the number of grids in the casting area, making SOP for setting up the pasting belt machine and utilizing the concept of Poka-yoke using iron plate to prevent operator errors when setting the machine.","PeriodicalId":178760,"journal":{"name":"Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121575817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessment Risk Ergonomic in Painting Industry using Ergo-FMEA: Assessment Risk Ergonomic in Painting Industry using Ergo-FMEA 基于Ergo-FMEA的涂装行业风险人机工程学评估:基于Ergo-FMEA的涂装行业风险人机工程学评估

Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry Pub Date : 2022-09-21 DOI: 10.1145/3557738.3557826

W. Septiani, Ghaida Anggraeni, Novia Rahmawati

{"title":"Assessment Risk Ergonomic in Painting Industry using Ergo-FMEA: Assessment Risk Ergonomic in Painting Industry using Ergo-FMEA","authors":"W. Septiani, Ghaida Anggraeni, Novia Rahmawati","doi":"10.1145/3557738.3557826","DOIUrl":"https://doi.org/10.1145/3557738.3557826","url":null,"abstract":"Generally, painting activity in industry is divided into 5 main processes namely cleaning, drying, painting, coating, and final process of drying. These activities are mainly implemented manually which bring high posture risk for the operators. This research is aimed to analyze ergonomic risk in painting industry by utilizing Ergo-FMEA (Failure Mode and Effect Analysis) methodology. Research stage is commenced by starting with job analysis, identification, ergonomic risk valuation and analysis, and improvement design to minimize risk. Risks are identified based on six risk categories namely horizontal distance, vertical distance, position, movement, environment, and performance. Identification results revealed 14 risks of work posture faced by operators. Activities that produce the highest risk are manual product moving and manual product lifting. These risks often lead to muscle pain, twisted joints, and back injury. The proposed improvements to minimize these risks are wire cart work facility design, workplace layout process costing improvement, and SOP of safe manual product lifting. This improvement proposal is expected to minimize the risk of posture on painting operators.","PeriodicalId":178760,"journal":{"name":"Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115162761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Effect of Adding Nickel Processing Tailings to Concrete Mixtures on a Laboratory Scale 掺加镍尾矿对混凝土混合料的影响

Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry Pub Date : 2022-09-21 DOI: 10.1145/3557738.3557883

P. N. Hartami, R. Setiati, D. Putra, Y. Maulana, E. J. Tuheteru, T. T. Purwiyono, G. Nadya

{"title":"The Effect of Adding Nickel Processing Tailings to Concrete Mixtures on a Laboratory Scale","authors":"P. N. Hartami, R. Setiati, D. Putra, Y. Maulana, E. J. Tuheteru, T. T. Purwiyono, G. Nadya","doi":"10.1145/3557738.3557883","DOIUrl":"https://doi.org/10.1145/3557738.3557883","url":null,"abstract":"One of the stages in mining is processing. At the processing stage. minerals are processed to produce products with higher mineral concentrations. This process has by-products called tailings. The Indonesian mining industry as one of the world's nickel producers cannot be separated from this issue. The large nickel production also has an impact on the large tailings production. These tailings are generally just stockpiled without further use. This study aims to provide an understanding of the strength of the material resulting from the addition of tailings to the concrete mixture. Five variations of the material were made by mixing tailings with ratios of 0%, 20%, 40%, 50%, and 60% in the concrete mix. Physical and mechanical properties testing was carried out to obtain the rock strength value from the concrete sample. During this research, the parameters of UCS, Young's Modulus, and Poisson's Ratio were used as indicators of rock strength. Based on the tests that have been carried out, the addition of tailings to the concrete mix generally weakens the strength of the concrete. However, there is a trend of increasing rock strength at a mixture ratio of 60% where the UCS value is 1.324 MPa and Young's modulus is 0.584. Furthermore, porosity and degree of saturation are considered to have a role in these rock strength parameters. This is indicated by the degree of saturation of the 60% ratio, which is 18.8 with an increase in Young's Modulus and UCS. Based on these results, it can be concluded that tailings can be further utilized in concrete mixtures so that their availability in the field can be converted and reduced. Finally, other parameters of the mixing ratio can be performed to complement the weaknesses in this study.","PeriodicalId":178760,"journal":{"name":"Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126305191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Case Study of IIoT Application in Process Manufacturing: Management Information Systems in Palm Oil Refinery 工业物联网在过程制造中的应用案例研究:棕榈油精炼厂的管理信息系统

Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry Pub Date : 2022-09-21 DOI: 10.1145/3557738.3557865

Suryo Toto Koncoro, L. Lukas, M. Siregar

{"title":"A Case Study of IIoT Application in Process Manufacturing: Management Information Systems in Palm Oil Refinery","authors":"Suryo Toto Koncoro, L. Lukas, M. Siregar","doi":"10.1145/3557738.3557865","DOIUrl":"https://doi.org/10.1145/3557738.3557865","url":null,"abstract":"Industrial Internet of Things (IIoT) is providing technology integration of Information Technology (IT) and Operation Technology (OT). While OT is related to operational in shop floor production, IT has become a backbone in corporate management strategic decision making. Both technology are dependent to reliable data, comprehensive analysis from it, and utmost distribution network to related parties. In Industrial Revolution journey, Programmable Logic Controller invention has been part of important part of OT and trigger to the Third Industrial Revolution. The elaboration in Computer Integrated Manufacturing concept has been strengthened by technology providers to deliver reliable solution in manufacturing process. However, these data remain to reside in isolated environment of Industrial Control System. While focusing in process operational automation system, integrated information management become issue in this case study. Manual log sheet in Margarine and Shortening production of Palm Oil Refinery is backbone for process parameter visibility and downside in issues to reliability, distribution, and further analysis. By optimizing available technology in the Fourth Industrial Revolution, this vertical integration from shop floor production to corporate management could be delivered with IIoT-based Information Systems. Methodology from Industrial Internet Consortium (IIC) publication in Industrial Internet Reference Architecture (IIRA) which connected to existing automation system is providing real-time data with historical trending. The velocity and volume of these data has shaped Big Data and presented Management Information System in IT network. This reliable data provide traceability to parameter process in production facilities.","PeriodicalId":178760,"journal":{"name":"Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"64 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134475712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of Waste Transportation Volume in Jakarta Province using Linear Regression and Random Forest Regression 基于线性回归和随机森林回归的雅加达省垃圾运输量分析

Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry Pub Date : 2022-09-21 DOI: 10.1145/3557738.3557876

Eka Pramudianzah, Y. S. Triana, Rahmat Budiarto

{"title":"Analysis of Waste Transportation Volume in Jakarta Province using Linear Regression and Random Forest Regression","authors":"Eka Pramudianzah, Y. S. Triana, Rahmat Budiarto","doi":"10.1145/3557738.3557876","DOIUrl":"https://doi.org/10.1145/3557738.3557876","url":null,"abstract":"The accumulation of waste volume in the river waters of DKI Jakarta is still a significant problem that cannot be solved optimally because the population continues to increase every year, so the tonnage of waste also increases as well as some residents of DKI Jakarta still throw garbage into the river. In predicting the level of waste volume, the DKI Jakarta Provincial Environment Agency must make decisions, so it is necessary to carry out a prediction stage regarding the increase in waste in the future. For this reason, this research performs a prediction stage by utilizing two machine learning algorithms: Linear Regression and Random Forest Regression. The experiment used historical data on waste volume transportation from January to June 2021. The experimental results showed that the Random Forest Regression had the lowest error values of 0.82 and 0.81, with a training and testing data ratio of 80%:20%. On the other hand, Linear Regression has an error value of 0.83 and 0.82 at a ratio of 80%:20%. The analysis discussed in this study can be a reference for predicting and taking the necessary actions to prevent an increase in the volume of waste in DKI Jakarta Province.","PeriodicalId":178760,"journal":{"name":"Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121195853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of Tuberculosis Disease Spreading Pattern in Muara Enim District using KNN Algorithm 基于KNN算法的Muara Enim地区结核病传播模式分析

Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry Pub Date : 2022-09-21 DOI: 10.1145/3557738.3557853

Rahmat Budiarto, Hilwa Lelisa, Y. S. Triana

{"title":"Analysis of Tuberculosis Disease Spreading Pattern in Muara Enim District using KNN Algorithm","authors":"Rahmat Budiarto, Hilwa Lelisa, Y. S. Triana","doi":"10.1145/3557738.3557853","DOIUrl":"https://doi.org/10.1145/3557738.3557853","url":null,"abstract":"Tuberculosis (TB) is a type of infectious disease caused by Mycobacterium tuberculosis, which not only attacks the lungs, but can also attack the bones, intestines, or glands. During the Covid-19 pandemic, TB cases in Indonesia also increased. TB and Covid-19 had the similar symptoms such as cough, fever, and breathing difficulty, so that TB sufferers must be given serious treatment to avoid Covid-19. In predicting a disease, it is important for health workers to make decisions, thus it is necessary to do an early diagnosis in order to reduce the transmission of TB in the community. There are many algorithm methods used in conducting data analysis, for this study the authors use K-Nearest Neighbor (K-NN) algorithm and Logistic Regression as comparison. Experimental results using available dataset collected from health centers in Muara Enim District of South Sumatra Province show that the K-NN algorithm provides the best accuracy of 89% on dataset with training to testing data ratio of 80%:20%, while the Logistic Regression provides the best accuracy of 96% on 70%:30% ratio. The analysis mechanism discussed in this paper may be considered as tool for the authority to predict and take necessary actions to prevent the TB spreading.","PeriodicalId":178760,"journal":{"name":"Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121315639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Understanding the Trend of Scientific Productivity Analysis: Literature Review of Relevant Papers 认识科学生产力分析的趋势:相关文献综述

Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry Pub Date : 2022-09-21 DOI: 10.1145/3557738.3557833

Ren Ren, Koichi Murata

{"title":"Understanding the Trend of Scientific Productivity Analysis: Literature Review of Relevant Papers","authors":"Ren Ren, Koichi Murata","doi":"10.1145/3557738.3557833","DOIUrl":"https://doi.org/10.1145/3557738.3557833","url":null,"abstract":"The productivity of academic scientific world is an important indicator for the allocation of university research funds. In order to understand the current state of research on dissertation productivity, this study organizes 21 papers on dissertation productivity published between 1986 to 2021 and compiles tables to understand research on dissertation productivity and discuss related items. The results obtained from the summary table show that case studies of papers tend to focus on one-unit influencing factors, and the analytical perspective is not comprehensive. Many papers make database decisions based on the authoritative nature of the database. It becomes clear that the method of analyzing productivity in the papers is overwhelmingly a statistical mathematical analysis. When a government or organization wants to evaluate scientific productivity, it should not focus on efficiency, but should choose the appropriate scientific productivity evaluation indicators according to the needs. The ease of data acquisition suggests that country-level scientific productivity is more suitable for qualitative analysis, while organization-level or individual-level factors are suitable for quantitative analysis studies.","PeriodicalId":178760,"journal":{"name":"Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117212932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0