A. Askari, Jabar Borjaki, Laila Mahdinasab, A. S. S. Abadi
Reducing the workforce's health condition is one of the significant challenges in industries. Various studies have shown that efficiency in industries has a crucial relationship with the workforce's health level. In addition, the employee's health can be affected by different variables such as stress or other job parameters and the type of work system. The present study was conducted to analyze the relationship between these parameters and job stress in an oil field. This work was a cross-sectional and descriptive-analytic investigation. The statistical population included workers that were present for duty (About 250 People). The data were collected through Osipow Occupational Stress Questionnaire, and then analyzed using the SPSS Statistics software (Ver. 22). The results show that the level of education has a significant relationship with most subscales of the questionnaire. Marital status and work experience had the lowest effect on job stress. Determining stress levels based on the classification related to the job group and the type of shift work system is similar, and these variables on the subscales affected the workload (p-value=0.001) and responsibility (p-value=0.000). Also, the results show that among the job groups, logistics (score: 197.4) and security (score: 177) have the highest and lowest tension, respectively. The results of this study showed that the effect of occupational variables on the defined ranges in the occupational stress questionnaire is different. These differences show that occupational stress has a dynamic nature, and any changes in the environmental dimensions can change the level of occupational stress.
{"title":"Relationship between Demographic and Employment Parameters with Job Stress Among Employees of an Oil Field in Western Iran","authors":"A. Askari, Jabar Borjaki, Laila Mahdinasab, A. S. S. Abadi","doi":"10.12928/si.v21i1.115","DOIUrl":"https://doi.org/10.12928/si.v21i1.115","url":null,"abstract":"Reducing the workforce's health condition is one of the significant challenges in industries. Various studies have shown that efficiency in industries has a crucial relationship with the workforce's health level. In addition, the employee's health can be affected by different variables such as stress or other job parameters and the type of work system. The present study was conducted to analyze the relationship between these parameters and job stress in an oil field. This work was a cross-sectional and descriptive-analytic investigation. The statistical population included workers that were present for duty (About 250 People). The data were collected through Osipow Occupational Stress Questionnaire, and then analyzed using the SPSS Statistics software (Ver. 22). The results show that the level of education has a significant relationship with most subscales of the questionnaire. Marital status and work experience had the lowest effect on job stress. Determining stress levels based on the classification related to the job group and the type of shift work system is similar, and these variables on the subscales affected the workload (p-value=0.001) and responsibility (p-value=0.000). Also, the results show that among the job groups, logistics (score: 197.4) and security (score: 177) have the highest and lowest tension, respectively. The results of this study showed that the effect of occupational variables on the defined ranges in the occupational stress questionnaire is different. These differences show that occupational stress has a dynamic nature, and any changes in the environmental dimensions can change the level of occupational stress.","PeriodicalId":32235,"journal":{"name":"Spektrum Industri Jurnal Ilmiah Pengetahuan dan Penerapan Teknik Industri","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76529629","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}
Viscosity is one of the critical parameters for polymer products; thus, monitoring the viscosity level is very important to know during the production process and production results. The Polymer Company recently suffered heavy losses due to an explosion in one of its reactor engines, the R306 engine. The investigation results show that the viscosity of the polymer is one of the causes of the heavy workload of the machine, when the viscosity is checked manually. This research was conducted based on these conditions, and a viscosity monitoring device was designed for the 306-tank product. The design used QFD visualization for product design and UML for information system design. In this study, polymer viscosity was measured using the falling ball method with an Infrared Sensor E18-D80NK to obtain the viscosity of polymer products. Viscosity data are configured directly with the Internet of Things using the NodeMCU microcontroller. The design results show that the tool can monitor the viscosity in the tank and provide polymer viscosity information in real-time, thus facilitating decision-making and increasing productivity.
{"title":"Monitoring Viscosity of Polymer Products on the Reactor Tank Using IoT-based NodeMCU","authors":"Paduloh Paduloh","doi":"10.9744/jti.25.1.53-64","DOIUrl":"https://doi.org/10.9744/jti.25.1.53-64","url":null,"abstract":"Viscosity is one of the critical parameters for polymer products; thus, monitoring the viscosity level is very important to know during the production process and production results. The Polymer Company recently suffered heavy losses due to an explosion in one of its reactor engines, the R306 engine. The investigation results show that the viscosity of the polymer is one of the causes of the heavy workload of the machine, when the viscosity is checked manually. This research was conducted based on these conditions, and a viscosity monitoring device was designed for the 306-tank product. The design used QFD visualization for product design and UML for information system design. In this study, polymer viscosity was measured using the falling ball method with an Infrared Sensor E18-D80NK to obtain the viscosity of polymer products. Viscosity data are configured directly with the Internet of Things using the NodeMCU microcontroller. The design results show that the tool can monitor the viscosity in the tank and provide polymer viscosity information in real-time, thus facilitating decision-making and increasing productivity.","PeriodicalId":32235,"journal":{"name":"Spektrum Industri Jurnal Ilmiah Pengetahuan dan Penerapan Teknik Industri","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135287738","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}
A company should implement good quality management to maintain consumer confidence in producing quality products. FMEA serves to identify product failures in a process and the causes of defects or losses that occur during the production process of a product, component, or system. The research aims to analyze quality control and identify production defects that cause a decrease in quality. The samples studied were rejected goods in production activities. Forty damaged parts were used as the samples in this study. This study used both qualitative and quantitative analysis. Quantitative analysis was conducted to determine the type of rejection and then to rank the risk, while qualitative analysis was performed with Ishikawa diagram to evaluate risk priorities. This research not only helps identify and assess the root cause of rejected goods but also affects the following year's planning by proposing measures to reduce risk. Check sheets and histograms are used to present further research. The analysis results show two classifications of defects in production: size error and painting error, with the most dominant defect, size error, and equal to 73.17%. Based on the analysis of the causes of defects, several factors were found that caused product defects; man, material, method, machine. The man factor has the highest value in contributing to defect, with an RPN score of 192.
{"title":"Assessing Cause of Defect Using Failure Mode and Effect Analysis","authors":"Berty Dwi Rahmawati, Nadia Nisya Budi Maharani","doi":"10.12928/si.v21i1.91","DOIUrl":"https://doi.org/10.12928/si.v21i1.91","url":null,"abstract":"A company should implement good quality management to maintain consumer confidence in producing quality products. FMEA serves to identify product failures in a process and the causes of defects or losses that occur during the production process of a product, component, or system. The research aims to analyze quality control and identify production defects that cause a decrease in quality. The samples studied were rejected goods in production activities. Forty damaged parts were used as the samples in this study. This study used both qualitative and quantitative analysis. Quantitative analysis was conducted to determine the type of rejection and then to rank the risk, while qualitative analysis was performed with Ishikawa diagram to evaluate risk priorities. This research not only helps identify and assess the root cause of rejected goods but also affects the following year's planning by proposing measures to reduce risk. Check sheets and histograms are used to present further research. The analysis results show two classifications of defects in production: size error and painting error, with the most dominant defect, size error, and equal to 73.17%. Based on the analysis of the causes of defects, several factors were found that caused product defects; man, material, method, machine. The man factor has the highest value in contributing to defect, with an RPN score of 192.","PeriodicalId":32235,"journal":{"name":"Spektrum Industri Jurnal Ilmiah Pengetahuan dan Penerapan Teknik Industri","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82475806","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}
W. Pratiwi, R. Primadasa, Vikha Indira Asri, Wisnu Budi Waluyo
PT. Duwa Atmimuda is a company engaged in manufacturing in producing stainless metal products and furniture frames. PT. Duwa Atmimuda is experiencing problems with the lack of application of technology in terms of marketing, seen from the absence of social media utilization, causing the company to find it difficult to expand market share. This study aims to identify the factors that hinder the company's innovation process using the Interpretive Structural Modeling (ISM) method and classify the model using MICMAC Analysis. The results showed that the ISM model of the barrier factor for the innovation process in the furniture industry supply chain has 6 levels. After the ISM model is obtained, the next process is to classify each variable indicator on the barrier factors of the innovation process with the help of MICMAC analysis. There are 4 classification clusters, the first cluster (autonomous indicators) has one indicator. While in the second cluster (dependent indicators) there is one indicator. In the third cluster (linkage indicators) there are 9 indicators. In the fourth cluster (independent indicators) there is one indicator. The third cluster (linkage indicators) is the highest cluster of indicator spreads where this indicator has high control and dependence. The conclusion of this study is that there are 12 inhibiting factors in the innovation process which are arranged into six levels of the ISM model and in the MICMAC analysis the third cluster is the highest distribution cluster.
PT. Duwa Atmimuda是一家专业生产不锈钢制品和家具框架的公司。Duwa Atmimuda公司在营销方面遇到了技术应用不足的问题，从没有使用社交媒体来看，导致公司很难扩大市场份额。本研究旨在利用解释结构建模(ISM)方法识别阻碍企业创新过程的因素，并利用MICMAC分析法对模型进行分类。结果表明，家具行业供应链创新过程障碍因素的ISM模型有6个层次。在获得ISM模型后，下一步是借助MICMAC分析对创新过程障碍因素上的各个变量指标进行分类。有4个分类簇，第一簇(自主指标)有一个指标。而在第二组(依赖指标)中只有一个指标。在第三类(联动指标)中有9个指标。在第四组(独立指标)中有一个指标。第三类(联动指标)是指标分布最高的一类，该指标具有高度的控制性和依赖性。研究结果表明，企业创新过程中存在12个抑制因素，在ISM模型中被划分为6个层次，在MICMAC分析中，第三集群是分布最高的集群。
{"title":"Barrier Factors Model of Innovation Process in the Furniture Industry Supply Chain (Case Study at PT. Duwa Atmimuda)","authors":"W. Pratiwi, R. Primadasa, Vikha Indira Asri, Wisnu Budi Waluyo","doi":"10.12928/si.v21i1.55","DOIUrl":"https://doi.org/10.12928/si.v21i1.55","url":null,"abstract":"PT. Duwa Atmimuda is a company engaged in manufacturing in producing stainless metal products and furniture frames. PT. Duwa Atmimuda is experiencing problems with the lack of application of technology in terms of marketing, seen from the absence of social media utilization, causing the company to find it difficult to expand market share. This study aims to identify the factors that hinder the company's innovation process using the Interpretive Structural Modeling (ISM) method and classify the model using MICMAC Analysis. The results showed that the ISM model of the barrier factor for the innovation process in the furniture industry supply chain has 6 levels. After the ISM model is obtained, the next process is to classify each variable indicator on the barrier factors of the innovation process with the help of MICMAC analysis. There are 4 classification clusters, the first cluster (autonomous indicators) has one indicator. While in the second cluster (dependent indicators) there is one indicator. In the third cluster (linkage indicators) there are 9 indicators. In the fourth cluster (independent indicators) there is one indicator. The third cluster (linkage indicators) is the highest cluster of indicator spreads where this indicator has high control and dependence. The conclusion of this study is that there are 12 inhibiting factors in the innovation process which are arranged into six levels of the ISM model and in the MICMAC analysis the third cluster is the highest distribution cluster.","PeriodicalId":32235,"journal":{"name":"Spektrum Industri Jurnal Ilmiah Pengetahuan dan Penerapan Teknik Industri","volume":"69 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85736712","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}
Society in the current period is facing various kinds of challenges and obstacles related to the acceleration of urbanization and industrialization. As for the problems at the moment, namely the health crisis and pollution that can threaten the present or future generations so that action is needed to ensure optimal living conditions, it is becoming increasingly important to understand green marketing and various other forms of support. Therefore, the aim of this research is to carry out a systematic review of the literature to identify several factors that influence green marketing. For this study, the method used was a Systematic Literature Review (SLR) which was carried out by following the procedure and followed by a meta-analysis to see the relevance of the published articles. This study uses VOSViewer as auxiliary software and uses Publish or Perish to help group data. From the search results, a total of 865 related articles were found for 2017-2022 and sorting was carried out to find relevant articles. The literature review was carried out using qualitative analysis, which resulted in four keywords; green marketing mix, attitude, purchase decision, and green marketing. In the end, we propose a framework that is developed based on some of the findings obtained. It is hoped that this framework can be used for a better understanding of green marketing factors that influence consumer purchase intentions.
随着城市化和工业化进程的加快，当前社会面临着各种各样的挑战和障碍。至于目前的问题，即可能威胁今世后代的健康危机和污染，因此需要采取行动确保最佳的生活条件，了解绿色营销和各种其他形式的支持正变得越来越重要。因此，本研究的目的是对文献进行系统的回顾，以确定影响绿色营销的几个因素。对于本研究，使用的方法是系统文献综述(SLR)，按照程序进行，然后进行荟萃分析，以查看已发表文章的相关性。本研究采用VOSViewer作为辅助软件，采用Publish or Perish对数据进行分组。从检索结果中，共检索到2017-2022年相关文章865篇，并对相关文章进行排序。采用定性分析方法进行文献综述，得到四个关键词;绿色营销组合、态度、购买决策与绿色营销。最后，我们提出了一个基于所获得的一些发现而开发的框架。希望这个框架可以用来更好地理解影响消费者购买意愿的绿色营销因素。
{"title":"Green Marketing and Intention to Buy Green Product: Systematic Literature Review","authors":"S. Lestari, A. Bakhtiar, H. Suliantoro","doi":"10.12928/si.v21i1.103","DOIUrl":"https://doi.org/10.12928/si.v21i1.103","url":null,"abstract":"Society in the current period is facing various kinds of challenges and obstacles related to the acceleration of urbanization and industrialization. As for the problems at the moment, namely the health crisis and pollution that can threaten the present or future generations so that action is needed to ensure optimal living conditions, it is becoming increasingly important to understand green marketing and various other forms of support. Therefore, the aim of this research is to carry out a systematic review of the literature to identify several factors that influence green marketing. For this study, the method used was a Systematic Literature Review (SLR) which was carried out by following the procedure and followed by a meta-analysis to see the relevance of the published articles. This study uses VOSViewer as auxiliary software and uses Publish or Perish to help group data. From the search results, a total of 865 related articles were found for 2017-2022 and sorting was carried out to find relevant articles. The literature review was carried out using qualitative analysis, which resulted in four keywords; green marketing mix, attitude, purchase decision, and green marketing. In the end, we propose a framework that is developed based on some of the findings obtained. It is hoped that this framework can be used for a better understanding of green marketing factors that influence consumer purchase intentions.","PeriodicalId":32235,"journal":{"name":"Spektrum Industri Jurnal Ilmiah Pengetahuan dan Penerapan Teknik Industri","volume":"52 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81469477","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}
Mirga Maulana Rachmadhani, T. Immawan, A. Mansur, Wonsik Choi
In every large, medium and small industrial enterprise, risks must occur in the business process. The study conducted at one of the small medium enterprise (SME) in the Bantul, Yogyakarta. It begins with the fact that obstacles that often occur are delays in delivery, product damage, and also other obstacles. Hence, those are the reasons of this study conducted. Further, the risk management framework has an important role in reducing these problems. The approach used ISO 31000 method and the SCOR Model in making a proposed framework to improve risk management performance. Based on the proposed framework that has been made, the risk identification process in Rajut Bamboo has 32 risks in its business processes. The risk mitigation proposal is carried out on seven risks in the high-risk category. The risk mitigation results are obtained in the risk codes (D3) unfinished product and absence of SOP, (M2) quality control takes a long time, (P5) unplanned overhead costs, and (A1) products in storage are damaged or lost, thus it showed down to medium risk category, then the risk codes (D9) expensive packaging material costs, (D2) order time exceeds the specified time, and (M6) no mitigation planning, thus it showed down to low-risk category.
{"title":"Risk Management Framework Design Based on ISO 31000 and SCOR Model","authors":"Mirga Maulana Rachmadhani, T. Immawan, A. Mansur, Wonsik Choi","doi":"10.12928/si.v21i1.93","DOIUrl":"https://doi.org/10.12928/si.v21i1.93","url":null,"abstract":"In every large, medium and small industrial enterprise, risks must occur in the business process. The study conducted at one of the small medium enterprise (SME) in the Bantul, Yogyakarta. It begins with the fact that obstacles that often occur are delays in delivery, product damage, and also other obstacles. Hence, those are the reasons of this study conducted. Further, the risk management framework has an important role in reducing these problems. The approach used ISO 31000 method and the SCOR Model in making a proposed framework to improve risk management performance. Based on the proposed framework that has been made, the risk identification process in Rajut Bamboo has 32 risks in its business processes. The risk mitigation proposal is carried out on seven risks in the high-risk category. The risk mitigation results are obtained in the risk codes (D3) unfinished product and absence of SOP, (M2) quality control takes a long time, (P5) unplanned overhead costs, and (A1) products in storage are damaged or lost, thus it showed down to medium risk category, then the risk codes (D9) expensive packaging material costs, (D2) order time exceeds the specified time, and (M6) no mitigation planning, thus it showed down to low-risk category.","PeriodicalId":32235,"journal":{"name":"Spektrum Industri Jurnal Ilmiah Pengetahuan dan Penerapan Teknik Industri","volume":"157 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72690856","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}
Muhammad Hudzaly Hatala, Bambang Purwanggono Sukarsono, Denny Nukertamanda
Electrical energy is a vital source of energy for human life. Currently, various power plants can provide electrical energy, one of which is the Steam Power Plant (PLTU). A PLTU must carry out operational tasks repeatedly and continuously to meet electricity needs. Based on historical data for PT. PJB Service Kendari for the last three years, there has been an increasing trend of downtime and derating at PLTU Nii Tanasa Kendari in the 2019–2021 timeframe. The boiler system is one of the systems that often experiences disturbances. FMECA is required to carry out a risk analysis to find out in detail the causes, effects, impacts, and ways of mitigating risks, as well as sorting and labeling risks for critical components based on the RPN value. The boiler itself is the main component and is supported by other components in the steam-water process. The reliability value is determined after the critical component with a high level of risk is marked “Not Accepted”. The findings of the risk and reliability analysis will be used to mitigate risks and increase the value of the reliability of critical components. The results of reliability calculations based on MTTF found that 9 out of 13 critical components had a reliability value below 50%; increasing reliability values could be achieved using preventive maintenance (Rm(t)), and maintaining reliability values above 60% could be achieved using periodic component replacement (R(t-nT)) based on the MTTR data of each critical component.
电能是人类生活的重要能源。目前，各种各样的发电厂都可以提供电能，其中一种是蒸汽发电厂(PLTU)。PLTU必须重复、连续地执行运行任务，以满足电力需求。根据过去三年PT. PJB Service Kendari的历史数据，在2019-2021年期间，PLTU Nii Tanasa Kendari的停机时间和降率呈上升趋势。锅炉系统是经常受到扰动的系统之一。FMECA需要进行风险分析，详细找出风险的原因、影响、影响和降低风险的方法，并根据RPN值对关键部件进行风险分类和标记。锅炉本身是蒸汽-水过程中的主要部件，并由其他部件支撑。在将高风险的关键部件标记为“不接受”后，确定可靠性值。风险和可靠性分析的结果将用于降低风险和提高关键部件的可靠性价值。基于MTTF的可靠性计算结果发现，13个关键部件中有9个的可靠性值低于50%;采用预防性维护(Rm(t))可提高可靠性值，采用基于各关键部件MTTR数据的定期部件更换(R(t- nt))可使可靠性值保持在60%以上。
{"title":"Risk and Reliability Improvement Analysis of Boiler System Using the Failure Mode Effect Analysis & Critical Analysis (FMECA) Method","authors":"Muhammad Hudzaly Hatala, Bambang Purwanggono Sukarsono, Denny Nukertamanda","doi":"10.12928/si.v21i1.98","DOIUrl":"https://doi.org/10.12928/si.v21i1.98","url":null,"abstract":"Electrical energy is a vital source of energy for human life. Currently, various power plants can provide electrical energy, one of which is the Steam Power Plant (PLTU). A PLTU must carry out operational tasks repeatedly and continuously to meet electricity needs. Based on historical data for PT. PJB Service Kendari for the last three years, there has been an increasing trend of downtime and derating at PLTU Nii Tanasa Kendari in the 2019–2021 timeframe. The boiler system is one of the systems that often experiences disturbances. FMECA is required to carry out a risk analysis to find out in detail the causes, effects, impacts, and ways of mitigating risks, as well as sorting and labeling risks for critical components based on the RPN value. The boiler itself is the main component and is supported by other components in the steam-water process. The reliability value is determined after the critical component with a high level of risk is marked “Not Accepted”. The findings of the risk and reliability analysis will be used to mitigate risks and increase the value of the reliability of critical components. The results of reliability calculations based on MTTF found that 9 out of 13 critical components had a reliability value below 50%; increasing reliability values could be achieved using preventive maintenance (Rm(t)), and maintaining reliability values above 60% could be achieved using periodic component replacement (R(t-nT)) based on the MTTR data of each critical component.","PeriodicalId":32235,"journal":{"name":"Spektrum Industri Jurnal Ilmiah Pengetahuan dan Penerapan Teknik Industri","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75955113","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}
Ahmad Amirudin Assidiq, H. Mastrisiswadi, H. Herianto
This research analyzes pancake batter and discovers the ideal printing parameters on the HALTech Printcake machine, the machine was newly developed and hasn’t been optimize yet where the prior research on 3D Printing pancake batter never been done. This research aim to optimize the printing parameter in order to get pancake close to proposed design. 3 Level full factorial were carried out to understand the response of all the available combination of parameter. There are 2 parameters proposed on this research velocity: 50 mm/s, 60 mm/s, 70 mm/s, and micropump voltage: 3.5 volts, 4 volts, and 4.5 volts. Balance between two parameter needed in order to get the best printing result, Velocity refer to the movement speed of the axis and the micropump voltage refer to how many material will be extrude or flow rate. Design specimen of a straight line 8 cm long and 0.35 cm wide proposed. The results showed that the length error was not significantly affected either by the velocity of the axis movement or the micropump voltage, whereas for the printed area error, it was significantly affected by the velocity, and for the micropump voltage, it did not have a significant effect. Optimized combination of parameter obtain in this research was velocity of 70 mm/s, and a micropump voltage of 4 volts and overall was able to print better specimen then the average experiment in term of printed area error.
{"title":"Parameter Optimization of Printcake Machine Using Full Factorial","authors":"Ahmad Amirudin Assidiq, H. Mastrisiswadi, H. Herianto","doi":"10.12928/si.v21i1.97","DOIUrl":"https://doi.org/10.12928/si.v21i1.97","url":null,"abstract":"This research analyzes pancake batter and discovers the ideal printing parameters on the HALTech Printcake machine, the machine was newly developed and hasn’t been optimize yet where the prior research on 3D Printing pancake batter never been done. This research aim to optimize the printing parameter in order to get pancake close to proposed design. 3 Level full factorial were carried out to understand the response of all the available combination of parameter. There are 2 parameters proposed on this research velocity: 50 mm/s, 60 mm/s, 70 mm/s, and micropump voltage: 3.5 volts, 4 volts, and 4.5 volts. Balance between two parameter needed in order to get the best printing result, Velocity refer to the movement speed of the axis and the micropump voltage refer to how many material will be extrude or flow rate. Design specimen of a straight line 8 cm long and 0.35 cm wide proposed. The results showed that the length error was not significantly affected either by the velocity of the axis movement or the micropump voltage, whereas for the printed area error, it was significantly affected by the velocity, and for the micropump voltage, it did not have a significant effect. Optimized combination of parameter obtain in this research was velocity of 70 mm/s, and a micropump voltage of 4 volts and overall was able to print better specimen then the average experiment in term of printed area error.","PeriodicalId":32235,"journal":{"name":"Spektrum Industri Jurnal Ilmiah Pengetahuan dan Penerapan Teknik Industri","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79816442","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}
Rumah Unggul Sistem Panel Instan (RUSPIN) technology is the development of Rumah Instan Sederhana Sehat (RISHA) with several improvements. Besides resistance to earthquakes, this technology has advantages such as ease and speed of installation compared to conventional houses. As a new technological innovation that has been proven, to develop RUSPIN technology to be an industrialization model in the future, therefore a study of technology business plan is required. Research objectives eager to see the market and industrialization opportunities of RUSPIN technology. The study using Business Model Canvas (BMC) concept which strived to combine 9 business aspects such as customer segments, value proposition, channels, customer relationships, revenue streams, key resources, key activities, key partners, and cost structure into one complete concept map. As the result of this study, the market opportunity for RUSPIN technology is very large with the market segmentation is families that do not own a home and the target market for Low-Income Families (MBR). RUSPIN technology also has an opportunity to be industrialized by looking at the demand side (market opportunities), while from the supply side, efforts are needed to increase the number of certified RUSPIN applicators and developers.
Rumah Unggul系统面板Instan (RUSPIN)技术是Rumah Instan Sederhana Sehat (RISHA)的发展，并进行了几项改进。除了抗震性外，与传统房屋相比，该技术还具有安装方便和速度快等优点。RUSPIN技术作为一项已经被验证的新技术创新，要想在未来将RUSPIN技术发展成为一种产业化模式，就需要对技术商业计划进行研究。研究目标渴望看到RUSPIN技术的市场和产业化机会。该研究使用商业模型画布(BMC)概念，努力将9个业务方面，如客户细分，价值主张，渠道，客户关系，收入流，关键资源，关键活动，关键合作伙伴和成本结构结合到一个完整的概念图中。由于本研究的结果，RUSPIN技术的市场机会非常大，市场细分是没有住房的家庭和低收入家庭(MBR)的目标市场。从需求方(市场机会)来看，RUSPIN技术也有实现工业化的机会，而从供应方来看，需要努力增加经过认证的RUSPIN应用程序和开发人员的数量。
{"title":"Market and Industrialization Opportunities of Rumah Unggul Sistem Panel Instan (RUSPIN) Technology Using Business Model Canvas","authors":"Erlita Pramitaningrum, D. H. Nugraha","doi":"10.12928/si.v21i1.58","DOIUrl":"https://doi.org/10.12928/si.v21i1.58","url":null,"abstract":"Rumah Unggul Sistem Panel Instan (RUSPIN) technology is the development of Rumah Instan Sederhana Sehat (RISHA) with several improvements. Besides resistance to earthquakes, this technology has advantages such as ease and speed of installation compared to conventional houses. As a new technological innovation that has been proven, to develop RUSPIN technology to be an industrialization model in the future, therefore a study of technology business plan is required. Research objectives eager to see the market and industrialization opportunities of RUSPIN technology. The study using Business Model Canvas (BMC) concept which strived to combine 9 business aspects such as customer segments, value proposition, channels, customer relationships, revenue streams, key resources, key activities, key partners, and cost structure into one complete concept map. As the result of this study, the market opportunity for RUSPIN technology is very large with the market segmentation is families that do not own a home and the target market for Low-Income Families (MBR). RUSPIN technology also has an opportunity to be industrialized by looking at the demand side (market opportunities), while from the supply side, efforts are needed to increase the number of certified RUSPIN applicators and developers.","PeriodicalId":32235,"journal":{"name":"Spektrum Industri Jurnal Ilmiah Pengetahuan dan Penerapan Teknik Industri","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77980260","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}
Marulan Andivas, Dimaz Harits, A. H. Wibowo, Eaden Ahmed Thoriq, Ihwan Ghazali
The fate of women workers during the pandemic is quite worrying. The role of women's triple burden in these times is getting heavier. Mental workload is a multidimensional construct that demands attention, performance, and skills of workers according to their work environment. This study aims to find out the mental burden felt by female workers during the pandemic. The subjects of this study were female educators at the University of Balikpapan. Five subjects feel a Very high mental burden on work activities during a pandemic, namely subjects 06, 14, 19, 23, and 25. There are 18 subjects who feel a high mental burden including subjects 3, 4, 5, 7, 8, 10, 12, 13, 16, 17, 18, 20, 21, 26, 28, 29, 30, and 31. Then, 3 subjects felt a moderate mental load, and 2 subjects felt a low mental load. If average, then the mental workload of female educators at the University of Balikpapan is 56.623 categorized as high. This study also seeks to investigate the correlation between the perceived workload of the subjects and several factors including age, marital status, education level, address, family size, income, COVID-19 survivor status, and family members who are COVID-19 survivors. The result showed that the number of family members is the only significant factor that influences the mental workload.
{"title":"The Mental Workload Analysis on Female Educators During Covid-19 Pandemic Using Nasa-TLX Method","authors":"Marulan Andivas, Dimaz Harits, A. H. Wibowo, Eaden Ahmed Thoriq, Ihwan Ghazali","doi":"10.12928/si.v21i1.87","DOIUrl":"https://doi.org/10.12928/si.v21i1.87","url":null,"abstract":"The fate of women workers during the pandemic is quite worrying. The role of women's triple burden in these times is getting heavier. Mental workload is a multidimensional construct that demands attention, performance, and skills of workers according to their work environment. This study aims to find out the mental burden felt by female workers during the pandemic. The subjects of this study were female educators at the University of Balikpapan. Five subjects feel a Very high mental burden on work activities during a pandemic, namely subjects 06, 14, 19, 23, and 25. There are 18 subjects who feel a high mental burden including subjects 3, 4, 5, 7, 8, 10, 12, 13, 16, 17, 18, 20, 21, 26, 28, 29, 30, and 31. Then, 3 subjects felt a moderate mental load, and 2 subjects felt a low mental load. If average, then the mental workload of female educators at the University of Balikpapan is 56.623 categorized as high. This study also seeks to investigate the correlation between the perceived workload of the subjects and several factors including age, marital status, education level, address, family size, income, COVID-19 survivor status, and family members who are COVID-19 survivors. The result showed that the number of family members is the only significant factor that influences the mental workload.","PeriodicalId":32235,"journal":{"name":"Spektrum Industri Jurnal Ilmiah Pengetahuan dan Penerapan Teknik Industri","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80610442","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}
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