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Comparison of Moving Average, Single Exponential Smoothing, and Trend Analysis Forecasting Methods on Art Board Production Demand (Case Study of PT Pindo Deli Pulp and Paper Mills 1) Monica Widya Putri; Fahriza Nurul Azizah
Jurnal Rekayasa Sistem & Industri Vol 8 No 02 (2021): Jurnal Rekayasa Sistem & Industri
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v8i02.500

Abstract

One of the companies engaged in the manufacturing industry is PT Pindo Deli Pulp and Mills 1, whichproduces various kinds of paper and tissue. Art Board is a type of paper produced by PT Pindo Deli Pulpand Mills 1, and is quite attractive to customers. However, customer demand for Art Board products oftenfluctuates. Product demand is an important aspect to be evaluated, because if the company does not planproperly the company will experience financial losses. Forecasting can be used as a support for companydecision making. Moving Average, Single Exponential Smoothing, and Trend Analysis are the methodsused to support forecasting in this study, where the next step is to analyze the accuracy of the forecastingmethod with the parameter values of MAD, MSE, standard error, bias, and forecasting for the next period.Based on data collection and analysis, it is found that the period 1 moving average method is the bestmethod for forecasting production demand for Art Board products with forecasting for the next period of19410 units, MAD of 3186,182, MSE of 16001250, and a bias of 634,546 meanwhile the standard error is4422,339.
Analysis of the Effectiveness using Overall Equipment Effectiveness in Identifying Six Big Losses on SY-GF 250H Lathe (Case Study CV Jasa Bhakti) Naufal Muhammad Rafi Fauzan; Fahriza Nurul Azizah
Jurnal Rekayasa Sistem & Industri Vol 9 No 01 (2022): Jurnal Rekayasa Sistem & Industri
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v9i01.501

Abstract

CV Jasa Bhakti is a manufacturing industry company that produces agricultural machinery and automotivespare parts. During the production process, the SY-GF 2500H lathe has problems, namely engine damagewhich causes the production machine to not operate and causes downtime which can cause losses andaffect the effectiveness of the SY-GF 2500H lathe. The Overall Equipment Effectiveness (OEE) method isused to measure the level of effectiveness on a machine by using three main components, namelyavailability rate, performance rate, and quality rate to identify types of losses based on six big losses, theaverage OEE result of 75% is still below the standard world class with factors that affect the low OEE,namely the performance rate of 79%, while the losses that affect the effectiveness value of the performancerate are idle and minor stoppage of 6% and reduce speed losses of 35%. By analyzing the root causes ofthe problem through a fishbone diagram, and five whys analysis. From this method, it can be concludedthat the causes of the low effectiveness value on the performance rate which are influenced by idle andminor stoppage and reduced speed losses are human factors, machines, materials, and methods.
Proposed Quality Control Based on Analysis Using Statistical Quality Control Method on Quail Egg Production Ferdi Kurniawan; Fahriza Nurul Azizah
Jurnal Rekayasa Sistem & Industri Vol 9 No 01 (2022): Jurnal Rekayasa Sistem & Industri
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v9i01.502

Abstract

Quality is one of the factors that have an important role in providing satisfaction to consumers. Theproblem of quality is an issue that is often discussed in companies to design a strategy to maintain thecompany's position and improve the company's competitiveness in global competition with othercompanies. One of the efforts that can be done to maintain and improve quality is through statisticalquality control. UMKM Puyuh Kompas is one type of poultry farming business that has not implementedthe principles of quality control. The purpose of the study was to analyze quality control in quail eggproduction, identify the types of defects in quail egg production, and provide suggestions for controllingthe types of defects in quail egg production in the UMKM. The research method used is statistical qualitycontrol method and the sampling technique used is purposive sample. The results showed that the qualitycontrol of the quail egg production process in the company had not been running well. The dominant typesof defects that occur in the production process are cracked eggs and pale eggs. Suggested actions that canbe taken to prevent and reduce disability levels are by setting standard operating procedures, improving thedesign and layout of the cage, and installing supporting components that can prevent quail from beingexposed to disease outbreaks and pest attacks.
Analisis Beban Kerja Mental Menggunakan Metode NASA-TLX pada Engineering Departement (Studi Kasus PT. Muliaglass Float Division) Alfianto, Rafly; Azizah, Fahriza Nurul
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 1 (2024): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i1.22556

Abstract

PT Muliaglass Float Division, a subsidiary of PT Mulia Industrindo, operates in the glass and ceramic industry with a large production capacity every day. Therefore, it is necessary to analyze the extent of psychological stress and what factors affect it. One way to measure mental workload is NASA-TLX. The National Aeronautics and Space Administration Task Load Index (NASA-TLX) is used to assess emotional mental load. The NASA TLX method is a mental workload measurement method that measures workload by dividing it into six aspects of work elements. NASA-TLX is divided into two phases. That is, comparing each scale and rating job performance. A total of 20 employees of the Engineering Department will be included in the study by distributing questionnaires. The results of the research calculations show an average Weight Work Load (WWL) score of 62.67 which falls into the high category. Further evaluation revealed influencing variables, including lack of rest time, lack of work office, and lack of inspiration at work that affect employee performance.