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All Journal Jurnal Rekayasa Sistem Industri Journal of Environmental Engineering & Waste Management Jurnal Soshum Insentif Journal of Industrial Engineering International Journal of Industrial Optimization (IJIO) IJFBP International Journal of Family Business Practices
Syafei, M. Yani
Department Of Industrial Engineering, President University, Cikarang
Arts Humanities Chemical Engineering, Chemistry & Bioengineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences

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Pengukuran Beban Kerja Pada Managerial Level Dan Supervisory Level Dengan Menggunakan Metode Defence Research Agency Workload Scale (DRAWS) (Studi Kasus Di Departemen UHT PT. Ultrajaya Milk Industry & Trading Co, TBk ) Syafei, M. Yani; Primanintyo, Burhan; Syaefuddin, Syaefuddin
Jurnal Rekayasa Sistem Industri Vol 5, No 2 (2016): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (770.145 KB) | DOI: 10.26593/jrsi.v5i2.2214.69-78

Abstract

Measurement of workload is a technique to get information about the efficiency and effectiveness of an organizational unit, or office holders through a process of research and assessment. It is conducted by using job analysis, workload analysis or other management techniques. PT. Ultrajaya Milk Industry & Trading Co., Tbk is manufacturer of the food and beverage. The company is always trying to meet the needs of consumers by creating products with high quality and competitive price. The high stress level perceived by Managerial Level and Supervisory Level become an important reason for the Department of Ultra High Temperature (UHT) to conduct workload analysis. By measuring the employees workload, it will be known whether  the workload of an employee is optimal load or overload. This situation will affect the human-performance (employee). Based on calculations by the DRAWS method is yielded the average workload score for Managerial Level of 67.37% (in the overload category), while the dominant workload variable in Central Demand (CD) is 41.60%,  the distribution of the mental workload is 72.60% and physical workload is 27.40%. While for Supervisory Level  is yielded the average workload score of 64.59% (in the overload category) ), where the dominant workload variable in Central Demand (CD) is 33.63%, the distribution of the mental workload is 55.10% and physical workload is 44.90%. Therefore the perceived mental workload of Supervisory Level is still relatively comparable compared to physical workload, and in contrast to the  perceived Managerial Level which is dominated by mental workload.
Ceramic supplier selection using analytical hierarchy process method Rahmiati, Filda; Syafei, H.M Yani; Purwanto, Purwanto; Andianto, Jonathan
International Journal of Industrial Optimization Vol 2, No 2 (2021)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v2i2.4406

Abstract

This study tried to implement the Analytical Hierarchy Process (AHP) and the weights of the criteria and sub-criteria to find the best supplier. According to QCDFR (quality, cost, delivery, flexibility, and responsiveness). This study took place in one of the biggest tile producers, ranks fifth in the world and the first in Indonesia. However, the company currently only uses quality, cost, and delivery methods to choose the best supplier of raw material, namely feldspar. This research tries to use the systematic method to find the best supplier based on the importance of the criteria. The method used the quantitative approach to enumerate the data to analyze the information.  The company analyzed six suppliers. The primary tool used in this research is a Super Decision Software version 3.2 to create and manage the AHP model, enter the judgments, get results, and perform sensitivity analysis on the results. The result found that Semarang is the best supplier. The company will choose Semarang to become the company's business partner compared to the other suppliers because Semarang has met the criteria that the company prioritizes the most. By having the best supplier selection, the company can provide the right material consistency and suitable material suitability.
Pengukuran Beban Kerja Pada Managerial Level Dan Supervisory Level Dengan Menggunakan Metode Defence Research Agency Workload Scale (DRAWS) (Studi Kasus Di Departemen UHT PT. Ultrajaya Milk Industry & Trading Co, TBk ) M. Yani Syafei; Burhan Primanintyo; Syaefuddin Syaefuddin
Jurnal Rekayasa Sistem Industri Vol. 5 No. 2 (2016): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (770.145 KB) | DOI: 10.26593/jrsi.v5i2.2214.69-78

Abstract

Measurement of workload is a technique to get information about the efficiency and effectiveness of an organizational unit, or office holders through a process of research and assessment. It is conducted by using job analysis, workload analysis or other management techniques. PT. Ultrajaya Milk Industry & Trading Co., Tbk is manufacturer of the food and beverage. The company is always trying to meet the needs of consumers by creating products with high quality and competitive price. The high stress level perceived by Managerial Level and Supervisory Level become an important reason for the Department of Ultra High Temperature (UHT) to conduct workload analysis. By measuring the employees workload, it will be known whether  the workload of an employee is optimal load or overload. This situation will affect the human-performance (employee). Based on calculations by the DRAWS method is yielded the average workload score for Managerial Level of 67.37% (in the overload category), while the dominant workload variable in Central Demand (CD) is 41.60%,  the distribution of the mental workload is 72.60% and physical workload is 27.40%. While for Supervisory Level  is yielded the average workload score of 64.59% (in the overload category) ), where the dominant workload variable in Central Demand (CD) is 33.63%, the distribution of the mental workload is 55.10% and physical workload is 44.90%. Therefore the perceived mental workload of Supervisory Level is still relatively comparable compared to physical workload, and in contrast to the  perceived Managerial Level which is dominated by mental workload.
Perancangan Alat Bantu Praktik Arm Robot pada Penggunaan Teaching Pendant dengan pendekatan Value Engineering M Yani Syafei; Clara Eunike Wahyuningsih
JIE Scientific Journal on Research and Application of Industrial System Vol 4, No 2 (2019)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1257.217 KB) | DOI: 10.33021/jie.v4i2.893

Abstract

Controlling robot use a Teaching Pendant to communicate between users and arm robot. Teaching Pendant has a weight of about 1,250 kg. Left hand is used to handle teh Teaching Pendant and the on/off of motor o the arm robot. And the right hand is used as an operator in pressing the drive button in the Teaching Pendant. The position of users is stand when practicing controlling robot. The user feels some of the pain in the left hand, right hand and waist when using the Teaching Pendant. Based on the problem, I propose for tool to hold the Teaching Pendant. The method that use is the Value Engineering approach, making FAST diagrams for determining the function of the tools, and Nordic Body map to obtain the real data of pain. Respondent are users of Teaching Pendant. The result was 67,98% feel the pain because using the Teaching Pendant. The function of the tool that has been made is to hold the Teaching Pendant, using hollow iron for the materials. Tool testing was carried out with the same respondents, and they must fill the Nordic Body Map after they used the tool. The result of using this tool are able to reduce the total pain by 36,36% from the total pain in the beginning.
Pengurangan Yellow Reject pada Proses Hexavalent Chrome Plating on Plastic dengan Menggunakan Pendekatan DMAIC M. Yani Syafei; Sophia Louren
JIE Scientific Journal on Research and Application of Industrial System Vol 5, No 1 (2020)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/jie.v5i1.1269

Abstract

Product quality is one of the important aspects for the company because it involves the existence, performance, productivity and profit of the company. Quality is obtained by having quality control to minimize products and produce products according to specifications. PT. Mitra Part Perkasa as a company that provides a service of chrome plating on plastics. The company is having a new quality issue of new reject that happened on hexavalent chrome process, namely yellow reject during September and October 2019 which had never happened before. The percentage of yellow rejects that happened was more than company tolerant limits of 1.5%. To overcome this problem, using DMAIC is applied to reduce the number of rejects. The first step of DMAIC is the goal of the problem and agreed upon research objectives. The second step is to measure current quality with a control chart and decide yellow rejects as the main focus of research using pareto diagram. The third step is to analyze the yellow root causes using why why analysis and fishbone diagram. The fourth step is improvement based on each factor, man, material, method, and machine. The last step is control, this step will show the results of the improvements indicated by before the repairs were made. Based on the results, the percentage of yellow reject decreased from 2.77% to 0.55% and it can be concluded that DMAIC has succeeded in reducing yellow rejects.
Analisis Perbaikan Proses Shipping Kursi Mobil Dalam Upaya Mengurangi Frekuensi Terjadinya Delay Delivery M Yani Syafei; Andi Muhamad Yusuf
JIE Scientific Journal on Research and Application of Industrial System Vol 4, No 1 (2019)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1542.646 KB) | DOI: 10.33021/jie.v4i1.743

Abstract

PT. FSI is a company engaged in the automotive sector. Increased demand and efforts to meet customer satisfaction, then encouraging companies to continue to make various improvements including the shipping department, which is to facilitate the delivery of products to customers. One of the causes of the delay in the delivery of products to customers (delay delivery) is that there is a problem in the pre-delivery process, namely the storage conveyor machine. A storage conveyor machine is a machine that connects from the results of the production process to the temporary storage of goods which are then put into trucks to be sent to consumers.The objective achieved in this study was to analyze the causes of the delay delivery in the process of shipping car seats on conveyor storage machines and make improvements to reduce the jammed base pallet frequency on the storage conveyor machine using the six sigma method. Based on the results of the research and analysis that have been carried out, it turns out that the case of the jammed base pallet on the conveyor storage machine is the cause of delay delivery to the customer and then make improvement to overcome or reduce the frequency of jammed base pallet problems on the storage conveyor machine by adding sponges to the shaft roller conveyor. The addition of sponge rolls is intended to increase power when moving base pallet between stations.
Penentuan Alternatif Material Part ABS Untuk Menjamin Kesinambungan Pasokan Pada Perusahaan Manufaktur Sepeda Motor M. Yani Syafei; Tri Sutrisno
JIE Scientific Journal on Research and Application of Industrial System Vol 6, No 1 (2021)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/jie.v6i1.1330

Abstract

Ensuring the continuous supply of materials in the manufacturing system is a very important factor in ensuring the smooth production process and product fulfillment to consumers. A motorcycle manufacturing company that has several plastic parts injection suppliers, but the problem is that some plastic parts suppliers only take from one material supplier with the trademark ABS-J. This single supplier is very risky in terms of the ability to supply materials and also the possibility of a price monopoly that can be done by material suppliers because they have no competitors. With the PDCA approach, research is conducted to determine the addition of alternative ABS materials to ensure material supply availability and also obtain potential benefits that can be obtained by implementing multi-ABS material suppliers. With the trial and error method of using other alternative materials, namely ABS Star and also fish bone analysis, can get the same quality results as ordinary ABS-J material, by changing the injection machine parameter settings. The parameter setting is oriented towards reducing the temperature of the material by lowering the temperature of the barrel to (230-225-220-200 ° C), reducing the injection speed (45-55-45-35) and using Holding Pressure (70 Pa) for ABS Star material.                                                                                    
Perancangan Alat Bantu Pengecekan Fuse Box dengan Menggunakan Metode Quality Function Deployment M Yani Syafei; Natasyashinta Liviadrianne
JIE Scientific Journal on Research and Application of Industrial System Vol 2, No 2 (2017)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1206.357 KB) | DOI: 10.33021/jie.v2i2.491

Abstract

ABSTRACTPT. XYZ is a company engaged in automotive for motorcycles and car vehicle. The increasing number of product demand from customers requires companies to provide the best service, especially the quality of the product itself. The company often gets a lot of consumer complaints against Fuse Box X products that are not function on the busbar A and busbar B when are assembled by the customer in the last 3 months from March to May 2017.Based on the problem, the authors propose the need for the holding of checking tools that are able to detect that Busbar A and Busbar B are mounted tightly on Fuse Box X products. The method used to analyze consumer needs, one of them is by using QFD. Based on the HOQ obtained three criteria of the largest technical response is to remove the sound from the 12 Volt Buzzer, detect the product with LED lights, and electric components tightly sealed by PVC casing. Then it be done the design process of checking tool Fuse Box X and testing tool.By using hypothesis test of two independent population proportions stated defect proportion decreased by 34.78% after using Fuse Box X checking tool, where the value of 6.11% smaller than the previous (without checking tool) was 40.89%.Keywords: Checking tools, Quality Function Deployment, Design, Fuse Box X.
Improving Work System by Reducing Setup Time Activity in Drying Room in Pharmaceutical Industry with Single Minutes Exchange Die (SMED) M Yani Syafei; Tisa Lokadipati LS
JIE Scientific Journal on Research and Application of Industrial System Vol 3, No 1 (2018)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (460.592 KB) | DOI: 10.33021/jie.v3i1.497

Abstract

Pharmaceutical industry especially that move in generic products, have many kinds of products to be manufactured in its production lines with the shortest possible time. This condition causes the frequent of changeover process. This cause requires the company to further improve the effectiveness of the machine by reducing the time of changeover process in terms of setup and clean-up machine. In order to reducing the time of setup and clean-up activity use the method of approaches the SMED analysis method to reduce unnecessary motion waste (value added and non-value added derived from lean manufacturing). Before conduct the research, in the 5th production line was not in the Kanban system. So, it often occurs the changeover process. The longest changeover time is in the drying room. After that conduct the Time and Motion Study in order to know the detail setup activities in the drying room. This is due to problems in the working methods and environment factors. Based on data from observations made on the engine FBD, there are 49 activities comprising 44 internal activities and 5 activities that can be converted to an external. Then from 44 internal activities, only 43 were able to be combined activity of up to 11 activities. Results from this study is able to decrease setup time and clean-up on the machine FBD by 62.18%. Based on this result also, this can increase the productivity of the production line.Keywords: Unnecessary motion waste, Lean Manufacturing, Value added, Non-value added, Changeover process, SMED.
Analisis Penurunan Jumlah Defect Dalam Proses Tire-Curing Dengan Penerapan Konsep Six Sigma Burhan Primanintyo; M. Yani Syafei; Dina Luviyanti
JIE Scientific Journal on Research and Application of Industrial System Vol 1, No 2 (2016)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (935.537 KB) | DOI: 10.33021/jie.v1i2.341

Abstract

In tire manufacturing process, amount of defects that occur in the tire company has a tendency to increase and above the target limits. In order to improve the quality of tire manufacture, an analysis to decrease the number of defects is conducted by using the Six Sigma concept. The repair process is done to reduce the defect types Under Cure. This is a defect with the highest number from the seven types of defects. The design DOE (Design of Experiment) is used to determine the optimum setting tires in the cooking process. Defect Under Cure is a type of defect that occurs due to imperfection of tire cooking process (curing) and cause the tire become immature. By doing improvements on the process based on optimum setting, the sigma value of the company is increased by 4.209 sigma which previously amounted to 3.902 sigma.
Co-Authors Alfita Intan Putri PD Anastasya Lidya Maukar Andi Muhamad Yusuf Andianto, Jonathan Burhan Primanintyo Burhan Primanintyo Burhan Primanintyo Clara Eunike Wahyuningsih Dina Luviyanti Filda Rahmiati Hendar Rubedo Hening Herziatra Jonathan Andianto Mohamad Nur Isnanda Natasyashinta Liviadrianne Primanintyo, Burhan Purwanto Purwanto Purwanto Purwanto Sophia Louren Syaefuddin Syaefuddin Syaefuddin, Syaefuddin Tisa Lokadipati LS Tri Sutrisno Umi Narimawati