Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)最新文献

{"title":"Marketing Strategy Analysis of Arca Industry as Furniture Business Using the QSPM Method","authors":"M. Irwan, E. Chumaidiyah, W. Tripiawan","doi":"10.2991/icoemis-19.2019.53","DOIUrl":"https://doi.org/10.2991/icoemis-19.2019.53","url":null,"abstract":"Arca Industri is a company engaged in furniture. Arca Industri revenue results from November 2017 to October 2018 are obtained that there are several months in which income does not meet the specified target. Therefore, Arca Industri must plan a new strategy in order to experience an increase in income in accordance with the targets set. The marketing strategy designed by Industrial Arcs is based on several factors such as strengths, weaknesses, opportunities, and company threats. SWOT analysis is used to obtain alternative strategies derived from internal and external factors of the company. Research data and information consists of primary data and secondary data, the analysis tool used in this study is the IFE (Internal Factor Evaluation) matrix, EFE matrix (External Factor Evaluation), IE matrix (Internal-External), SWOT matrix (Strengths, Weakness), Opportunities, and Threats), and QSPM (Quantitative Strategic Planning Matrix). The SWOT matrix produces eight alternative strategies that can be implemented by the Industry Statue. QSPM processing produces 3 marketing strategies that can be implemented first. First, participating in exhibitions held in major cities with a TAS score of 6.056. Second, maintain the current condition and improve the quality of service to customers with a TAS score of 5.990. Third, market and introduce products to consumers who are not familiar with the products of the company with a TAS score of 5.81","PeriodicalId":156644,"journal":{"name":"Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129417473","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}

{"title":"The Impact Of Motivation, Work Satisfaction And Compensation On Employee's ProductivityIn Coal Companies","authors":"Muhamad Ekhsan, N. Aeni, R. Parashakti, M. Fahlevi","doi":"10.2991/icoemis-19.2019.55","DOIUrl":"https://doi.org/10.2991/icoemis-19.2019.55","url":null,"abstract":"In order to make the company able to compete in globalization area, the company has to increase the human capital implementation within the organization. The company then expected to adapt with the changing environment. A good human resource management is affected by several factors such as : motivation, job satisfaction and compensation. The purpose of the research is to explore the motivation, job satisfaction and compensation applied in PT Selatan Selabara, a mining and port services company. We used 62 samples of respondent in this research. The research used a double linear regression. The independent variables in this research are motivation, job satisfaction, and compensation. In the meanwhile, the dependent variable is employee productivity. The result of simulateneous test (F Test) indicates that motivation, job satisfaction, and compensationhas a significant influence to employee’s productivity. The result of partial test (t test) indicates that there are a significant influence between motivation, job satisfaction and compensation for each to employee’s productivity. In the meanwhile, only job satisfaction and compensation who have a strong positive relationship to employee’s productivity. The result of determination test shows that the determination coefficient is 0.737, it means that the contribution of motivation, job satisfaction, and compensation to employee performance is 73.7%, in the meanwhile the rest is caused by another","PeriodicalId":156644,"journal":{"name":"Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125490765","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}

{"title":"Worker Ergonomics Surveillance in Industrial Environments Based on Parallel Computing on Face Camera Using OpenCV and CUDA","authors":"I. Cholissodin, I. M. S. Baruna, M. Pratama, Dwi Rama Malawat, Dewi Hardiningtyas","doi":"10.2991/icoemis-19.2019.18","DOIUrl":"https://doi.org/10.2991/icoemis-19.2019.18","url":null,"abstract":". Modern applications today have used automation contexts to adjust application behavior to the received context, especially in industrial environment. This can highly increase the user experience of ergonomic comfort, safety, and health of workers. This context can be concluded by a program using variety of sensors possessed by a device. For example, using GPS to get a location so that it can provide recommendations for places that can be visited according to user interests or using voice to give orders to a program. One context that is still rarely used is the context of the distance between the face of a worker and the computer screen he uses. This context is one of the very important contexts in the field of workers’ health considering the number of device users who experience health problems due to not paying attention to the distance between the eyes and the screen of the device used. Therefore, the system we created is able to detect the distance between the face and the screen of the device by measuring the distance between the worker’s eyes using the front camera installed on the device used. Thus, when the distance of the face and screen is too close, the program can give a warning to workers to keep the distance between the face and the screen of the device for the health of the workers themselves.","PeriodicalId":156644,"journal":{"name":"Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127457959","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}

{"title":"Designing Classification Models of Patron Visits to an Academic Library using Decision Tree","authors":"A. Larasati, M. Farhan, P. Rahmawati, Nabila Azzahra, A. Hajji, A. N. Handayani","doi":"10.2991/icoemis-19.2019.20","DOIUrl":"https://doi.org/10.2991/icoemis-19.2019.20","url":null,"abstract":". Classification models of patron visits in library may help the library to reveal factors that affect patron visit and to predict how frequent a patron visit the library. This research aims to design classification models of patron visit in Library of Universitas Negeri Malang using decision tree model. Data is collected using online and offline surveys. The total number of usable responses are 883, in which 402 of the responses collected through on-line survey and 481 of the responses collected through a direct survey at the library area. The sampling method is a convenience random sampling. The classification model is built using Decision tree model. The model accuracy of the classification model is 87.5%. The result shows that a library customer tends to visit library more often when they have an assignment or need references for their thesis/final project. In contrast, a self-motivated patron tends to rarely visit library. This study finds nine attributes that highly affect the frequency of customer visit to the academic library are semesters, faculty, department, internet service, bag storage, reading rooms, OPAC services, staff services and the last is book collection.","PeriodicalId":156644,"journal":{"name":"Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116941483","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}

{"title":"Optimizing Milling Process Parameters of Bovine Horns forMaximizing Surface Quality and Minimizing Power Consumption","authors":"A. Unadi, T. Sjafrizal, R. A. Anugraha, Muhammad Iqbal","doi":"10.2991/icoemis-19.2019.49","DOIUrl":"https://doi.org/10.2991/icoemis-19.2019.49","url":null,"abstract":". Bovine Horn is an abundant natural resource, yet its industrial application is limited. Introducing this natural material to the machining process is expected to improve the adoption of this material in producing industrial products. This study aims to describe the optimization of bovine horns milling process parameters, depth of cut (d), feed-rate (f), and spindle speed (s), in obtaining a maximum surface quality as well as minimizing power consumption. The results showed that at d = 1 mm, f = 72 mm/min, and s = 860 rpm, the work-piece exhibited low surface roughness (R a = 0.614µm), whereas at the setting of d = 1 mm, f =155 mm/min, and s =360 rpm, the process consumed the least power (P= 0.858kW). Grey rational analysis (GRA) was applied to obtain the optimal point from these two conditions. This analysis proposed d = 1 mm, f = 72 mm/min, and s = 860 rpm as the milling parameters to produce good surface quality (R a = 0.614 µm) with less power consumption (P=0.991 kW). Finally, decreasing feed-rate and depth of cut of the milling process is the reasonable approach to produce the machined products made of bovine horns with good surface quality and minimum power consumption.","PeriodicalId":156644,"journal":{"name":"Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128343154","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}

{"title":"Resilience Measurement of SMEs Batik Sampang in Dealing with Natural Disasters","authors":"I. Utami, I. Santosa, A. Mardiana, Aris Basuki","doi":"10.2991/icoemis-19.2019.31","DOIUrl":"https://doi.org/10.2991/icoemis-19.2019.31","url":null,"abstract":". Sampang Regency is one of regions in East Java affected by flood every year. This causes disruption to the economic system of the community, especially for SMEs. Batik is a potential creative industry whose production processes are influenced by weather and climate. The quality of colouring and drying of batik depends on the brightness of the sun and the humidity around the production area. Therefore, this study aims to measure the level of resilience of Batik SMEs so that it can provide information to SMEs managers in planning flood disaster mitigation and extreme weather in batik production and marketing process. The dimensions of resilience of SMEs were identified from literature studies which were then grouped based on eight social-technical aspects. Data were collected using a semi-structure questionnaire. The questionnaire was validated by three disaster experts in SMEs. Respondents in this study were ten batik SMEs in Sampang Regency. Resilience levels were measured by adopting risk assessment measurements with multiplication between the probability and capacity of SMEs in the dealing with natural disasters. The measurement of resilience was used to formulate mitigation efforts that are expected to aid SMEs and the Government in dealing with natural disasters.","PeriodicalId":156644,"journal":{"name":"Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125533355","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}

{"title":"Assessment Of Worker Posture In Herbicides Production And Break Time Determination Using OCRA Index Method","authors":"Cahyaning Wulan Dhadhari, Wiediartini, H. N. Amrullah","doi":"10.2991/icoemis-19.2019.19","DOIUrl":"https://doi.org/10.2991/icoemis-19.2019.19","url":null,"abstract":"Workers in the packaging process of pesticide factories constantly do repetitive jobs on belt conveyors, eight hours per shift. Results of preliminary observations used Nordic Body Map (NBM) questionnaire shown that there was the severity of Musculoskeletal Disorders (MSDs) on the upper body of the workers. The purpose of this research was to analyzing and evaluating the risk of exposure of those repetitive tasks, determining rest time and also determining suitable work posture. Occupational Repetitive Actions (OCRA) index used to determine the risk level of musculoskeletal disorders and rest time. The occupational repetitive actions (OCRA) index is the most precise method for analyzing and evaluating the risk of exposure to repetitive tasks. There were six activities observed in the packaging process. The highest OCRA index result was inserted cardboard sheet with 17,55 right-hand risk value and 16,51 left-hand risk value. Improvement proposed in this study was the design of the work method with rest time calculation and posture correction. Decreasing of OCRA index after improvement result was at 11,11% to 76,37%. Introduction The packaging process in Herbicides producer company required many workers, those parts are arranging bottles, check aluminum seals, check the bottle cap, insert cardboard sheets, arrange the dosing cap, and move finished product. Results of preliminary observations used Nordic Body Map (NBM) questionnaire shown that there was the severity of Musculoskeletal Disorders (MSDs) on the upper body of the workers. Previous studies in the packaging process have been carried out. Evaluation of working posture and musculoskeletal disorders prevalence in packaging workers used the RULA method. The result from that research showed a non-significant relation between body parts scores and self – reported pains in the regions in all subjects [1]. Ovako Working Analysis System (OWAS) was used to check the risk level of working posture in the packaging section. CATIA was used to design the new working facility [2]. To assess the exposure of upper limbs to musculoskeletal disorders (MSD's) in the sequential packaging of a product, and the analysis of risk factors used the OCRA checklist method [3]. Workers in the packaging section worked repetitively and continuously for eight hours per shift. Among the most relevant safety issues in terms of workload and working environment is the presence of repetitive tasks [4]. The ISO 11228-3:2007 explain about the ergonomic standard committed to handling low loads at high frequency in the working environment, and defines the repetitive task, as the task characterized by repeated work cycles. High repetition of movements in manual tasks can lead to work-related musculoskeletal disorders, with specific regard to the upper limb. Musculoskeletal disorders are among the most common occupational problems [5]. Important typical effects of time-on-task during tedious monitoring tasks or other repetitive task","PeriodicalId":156644,"journal":{"name":"Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131142168","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}

{"title":"Design of Improvement to Minimize Motion Waste in Production of Head Casing Part at PT. Multi Instrumentasi with Lean Manufacturing Approach","authors":"Williardy Pratama, A. Yanuar, M. Rendra","doi":"10.2991/icoemis-19.2019.47","DOIUrl":"https://doi.org/10.2991/icoemis-19.2019.47","url":null,"abstract":"PT. Multi Instrumentasi is a manufacturing company that produces water meters. In producing water meters, one of the parts is the head casing. Head casing part consist of two types namely LF-1 and LF-2. Constraints experienced by companies are the inaccessibility of head casing production targets that can hinder the sale of water meters to consumers. For this reason, a proposal to improve the lean manufacturing approach is proposed to minimize the waste that occurs. The stage of the lean manufacturing approach is to identify the production process that occurs using the Process Activity Mapping and Value Stream Mapping. Furthermore, identifying waste that occurs using fishbone diagrams. After identifying waste, waste motion is found in the process of making head casing part with manual lathes. Subsequently, proposed improvements were made using the Single Minutes Exchange of Die (SMED) method. After the proposed improvement, in one month the company can save production costs of Rp 24.000.000 by comparing the existing production costs with after the proposed improvements. 1. PRELIMINARY 1.","PeriodicalId":156644,"journal":{"name":"Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134090975","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}

{"title":"Development of Transportation Models for Scheduling Power Plants and Electricity Distribution","authors":"Wahyuda, Muslimin, S. Widodo","doi":"10.2991/icoemis-19.2019.12","DOIUrl":"https://doi.org/10.2991/icoemis-19.2019.12","url":null,"abstract":"Transportation models are often used to solve problems of allocation and distribution of goods. This model is very simple and easy to use so that this model is widely applied to various allocation and distribution problems such as the problem of shipping goods, the selection of transport fleets, the selection of production sites, and others. However, this model has never been applied to electricity allocation and distribution. This is due to differences in the nature of goods and electricity. The loading allocation for each power plant usually uses an economic dispatch model. The Economic dispatch model is able to make allocations for generating plants that minimize fuel costs but are not able to do distribution optimization. Therefore, this study proposes the Single Echelon Economic Dispatch (SEED) models. The SEED model is the development of the transportation model. This model is formed from a combination of transportation models with economic dispatch models. Verification of the model using the Mahakam interconnection system in East Kalimantan. As a result, the SEED model is able to carry out a combined optimization between the production and distribution sides with minimum fuel cost parameters. The SEED model is also able to make a more detailed distribution than the Economic Dispatch model.","PeriodicalId":156644,"journal":{"name":"Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134164613","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}

{"title":"Building a Predictive Model to Estimate NOx Emission Pollutant of Backhoe Equipment","authors":"A. Larasati, A. Mahardika, Darin Ramadhanti, Yuh-Wen Chen, A. Hajji, V. Darmawan","doi":"10.2991/icoemis-19.2019.37","DOIUrl":"https://doi.org/10.2991/icoemis-19.2019.37","url":null,"abstract":". NOx is one of emission pollutant resulted from Backhoe equipment. This research aims to build a predictive model to estimate NOx pollutant released by backhoe equipment using Support Vector Machine model. Two type of kernel types (radial basis function and linear kernel types) are compared. The study runs the model several time to maximize the accuracy of SVM by finding the optimized parameter, which includes C, ε, and γ. The results show that radial basis function kernel type provide higher accuracy than linear kernel type. In addition, this study also conclude that higher C and γ parameter results in much lower mean absolute error value. However, it requires much longer calculation time. The SVM predictive model also show that the significant factors to predict NOx emission are MAP, RPM, backhoe type and the intake temperature.","PeriodicalId":156644,"journal":{"name":"Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)","volume":"39 31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129668807","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}