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Jurnal Ilmiah Teknik Industri
Published by Universitas Muhammadiyah Surakarta
ISSN : 14126869     EISSN : 24604038     DOI : -
Core Subject : Engineering,
Industrial & Manufacturing Engineering
Jurnal Ilmiah Teknik Industri is a scientific journal that aims to participate in developing the scientific field of Industrial Engineering, contains the results of research and theoretical study from lecturers, researchers and industry practitioners. Jurnal Ilmiah Teknik Industri is administered by the Department of Industrial Engineering, Faculty of Engineering, Universitas Muhammadiyah Surakarta and published by the Muhammadiyah University Press (MUP).
Arjuna Subject : -
Articles 13 Documents
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Search results for , issue "Vol. 20, No. 1, June 2021" : 13 Documents clear
Optimizing the Preventive Maintenance Scheduling Based on Dynamic Deterministic Demand in The Cement Manufacturing Halim Qista Karima; Fauzan Romadlon
Jurnal Ilmiah Teknik Industri Vol. 20, No. 1, June 2021
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v20i1.13894

Abstract

Preventive maintenance is a planned and scheduled maintenance method that is carried out before a machine failure occurs. The maintenance schedule can be determined based on experience, historical data, or recommendations. Selecting the maintenance schedule greatly affects the production system. The Clin machine in cement manufacturing has an important role in the cement production process. During treatment, the client machine cannot produce clinker, so it is necessary to plan a production system to meet the demand. This paper aims to design an optimization model for determining the preventive maintenance schedule for cement manufacturing by considering the production process and inventory control. Mathematical models with binary options are used to model that system. The model supports showing the optimal preventive maintenance schedule for the ciln machines with a binary decision each period. This mathematical model describes the interaction of production planning, inventory control, and scheduling of total maintenance on a kiln machine. The goal of this system is to determine the optimal preventive maintenance schedule with minimum costs. In addition, the system's output is the optimal production and inventory decision rule for each period. Based on the analysis and simulation of the model with the deterministic and dynamic demand, the optimal preventive maintenance schedule is in the 9th and 21st periods. The kiln machines are maintained every July with minimal costs. The model scenario shows the interaction of the variables and the sensitivity of the production capacity and demand to the decision rule of the variable.
Analysis of Work Posture Using the Muscle Fatigue Assessment (MFA) and Novel Ergonomic Postural Assessment (NERPA) Dian Palupi Restuputri; Rofiqul Umam Achmad; Muhammad Lukman; Ilyas Masudin
Jurnal Ilmiah Teknik Industri Vol. 20, No. 1, June 2021
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v20i1.13222

Abstract

A company needs to know each employee's ability to reduce accidents that happen to workers due to a lack of study on ergonomic principles. The research was conducted at a construction company producing paving blocks in Kediri. The paving production capacity at the company is 1000 paving/day. In 2017, three work accidents were caused by the fast pace of workers reaching the tired phase while working. Pulling, lifting, and putting down in carrying weighty loads and the repetition frequency of intense activities trigger stress on body parts that affect the worker's performance. The purpose of this study is to assess and provide recommendations for improvements in work activities that have a hazardous risk value based on the MFA and NERPA assessment methods. The research on the MFA method shows that activities with dangerous risk (high/very high) were in transportation activities. For the NERPA method, activities with dangerous risks were in 3 activities at the finishing work station with a final score of 7. Recommendations for improvement are work posture improvement, physical environment improvement, and work facilities.
Sentiment Analysis of Consumers for Determining the Packaging Features of Eucalyptus Oil Products Wilma Latuny; Victor Oryon Lawalata; Daniel Bunga Pailin; Rahman Ohoirenan
Jurnal Ilmiah Teknik Industri Vol. 20, No. 1, June 2021
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v20i1.13461

Abstract

This study aims to accurately predict eucalyptus oil packaging features and extract the most features to be improved for redesigning eucalyptus oil packaging. This research begins with taking consumer comments using a power query and then processing it using the data mining method and processed using WEKA to find sentiment analysis and accuracy of consumer comments regarding eucalyptus oil products. This study obtained the tendency of comments on each attribute with an assessment of the accuracy for all classes of 83% and each positive sentiment 3% of comments and 57% of comments for negative courses. The sentiment that shows the packaging tends to be normal at 20%, which is interpreted as neutral. This research can provide a suggestion to redesign the packaging based on the commentary sentiment of eucalyptus oil.  

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