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Perbaikan Tata Letak Mesin dan Material Handling di PT. X Menggunakan Systematic Layout Planning Rosyita Firdaus; Anda Iviana Juniani; Farizi Rachman
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 3 No 1 (2019): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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This research aims to redesign the factory layout of PT. X in order to minimize material handling distance. The company adheres to a job shop that demands greater system flexibility. Besides that one operator get a variety of tasks such as operating machinery, conducting quality control and doing material handling. This require the operator to move quickly so that the time can be used maximally for the machining process. The research results the layout engineering of machine and material handling using the Systematic Layout Planning (SLP) method. The re-layout procedure consists of three steps: analyzing the initial layout, designing the layout alternatives based on SLP, evaluating and selecting alternative layouts with a cost comparison technique. An efficiency improvement of material handling is obtained by alternative layout 1. The results showed a decrease in material handling costs (forklift) by 29.18% and a reduction of the total material handling costs up to 18.4% from the initial layout.
Analisa Kebulatan Permukaan Lubang Hasil Pembubutan Baja ST 41 dengan Metode Taguchi Bagas Ramadhan Sutrisno; Pranowo Sidi; Farizi Rachman
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 3 No 1 (2019): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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This journal is made to optimize a machine paramater on CNC turning steel of roundness hole surface. This turning technique that we use is boring by using carbide insert tool. The Parameter itself consists of Spindle Speed, Feed Rate and Depth of Cut. The material that use here is Steel 41 with 50 mm diameter, 30 mm length and 25 mm for diameter hole. Taguchi method has choosen to be used of this design experiment and also the calculation. To predict the optimum parameter on the roundness surface we use the Anova method on Software Minitab17. It will produce the optimum parameter that is Spindle Speed 900 rpm, Feed Rate 0,08 mm and the Depth of Cut 0,2 mm. Confirmation experiment is needed to prove that the prediction could produce the accuration of minimize the roundness surfaces value.
Optimasi Setting Parameter Electrical Discharge Maschining (Edm) Sinking Terhadap Kekasaran Permukaan dan Waktu Pengerjaan Material Skd-11 dengan Metode Taguchi-Grey Relational Analysis Risma Aris Maya; Bayu Wiro K.; Farizi Rachman
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 3 No 1 (2019): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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Abstract – Electrical Discharge Machining (EDM) Sinking is one type of EDM that is widely used inmaking molds and making dies. There are several factors that can determine the quality of a product,expecially in making dies/dies including surface roughness and processing time. Getting a smallsurface roughness with efficient working time it easily obtained if the machine operator knows theexact parameters when machining is done. The parameters used are gap voltage, on time, and offtime by conducting 27 experiments. The method used is Taguchi-Grey Relational Analysis. Theresults of this study were obtained by the optimum parameter combination consisting of gap voltageworth 30 volts, on time 120 s and off time 20 s with a contibution percentage of gap voltage 42,475%, on time 34,778 % and off time 17,536 %
OPTIMASI PARAMETER PROSES WAX PATTERN INJECTION TERHADAP PRODUK CASING PUMP VS 2/4/6 X MENGGUNAKAN METODE RESPONSE SURFACE Kholish Adilah Damayanti; Farizi Rachman; Dhika Aditya Purnomo
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 7 No 1 (2023): Conference On Design And Manufacture Its Application
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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Wax injection machining is the only technique to produce many ideal products in large volumes, which is the most common method in the investment casting process. One of the products that has the highest number of orders in metal casting companies using investment casting techniques is the pump casing VS 2/4/6 X product. The VS 2/4/6 X pump casing product consists of 4 components, each of which is injected into a different mold and eventually assembled into a product. Some of the problems encountered in the wax pattern injection results are dimensional accuracy and product defects. Some parameters that will be analyzed for dimensional accuracy and product defects are injection time, injection pressure, and holding time. This research uses response surface method with 15 run orders with 3 replications and applies Box-Behnken Design for research experimental design and ANOVA to analyze the data. Based on the analysis results. It was found that the optimal parameter combination is the value of injection time of 80 seconds, injection pressure of 35 bar, and holding time of 50 seconds. From this configuration, the dimensional accuracy value is 146.230 mm.
Aplikasi Lean Six Sigma sebagai Upaya Pengurangan Defect Produk Water Pump Anni Intan Faricha; Yugowati Praharsi; Farizi Rachman
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 7 No 1 (2023): Conference On Design And Manufacture Its Application
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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The foundry company has a commitment to always prioritise product quality, the exact dimensions of the products resulting from the finishing CNC process, are classified as without defects. Water Pump products are targeted that have a high reject rate, due to defects in the form of CNC dimension failure, bad casting and 5 variance of te defects. The results of processing Non Conformance Report waster pump products, the number of product quantity increases in production, this successfully proves that there is a defect waste process behaviour. This research applies Six Sigma method for reduce defect. This method includes DMAIC, Define critical waste defect (SIPOC), Measure with DPMO and sigma value Analyze with Fishbone Diagram, Improve with Kaizen resulting in an output sigma level value of 2.98 which rose to 3.00 with a DPMO value from 69,178 to 67,702 due to improvements as well as a predetermined target increase in the sigma level value.
Perbandingan Peramalan Penjualan Oil Filter di PT. United Tractors Surabaya dengan Metode Autoregressive Integrated Moving Average (ARIMA), Exponential Smoothing (ES), Trend Moment Kirana Enggar Kusuma; Farizi Rachman; Aditya Maharani
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 1 No 1 (2017): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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PT. United Tractors is a heavy equipment distribution company selling spare parts such as oil filters. The results of the problems being faced by PT. UT cannot meet customers' demand; therefore, an oil filter sales forecasting analysis uses the Autoregressive Integrated Moving Average (ARIMA), Exponential Smoothing (ES), and Trend Moment method. The results of calculations and research carried out after processing data from 2013 to 2022, the slightest error value is obtained in the Exponential Smoothing method with the Double Exponential Smoothing model using a= 0.9. The accuracy values obtained are MAD= 5.021, MSE= 59.674, dan MAPE= 0.086%, when compared to ARIMA, MAD= 8.192, MSE= 131.473, and MAPE= 0.152%, and Trend Moment MAD= 132.447, MSE= 17788.856, and MAPE= 2.261%. So, the chosen method is Exponential Smoothing.
Analisis Parameter Sandblasting terhadap Kekasaran Permukaan pada Material Baja A36 Menggunakan Metode Taguchi Isna Aulia Kharisma; Farizi Rachman; Bayu Wiro Karuniawan
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 7 No 1 (2023): Conference On Design And Manufacture Its Application
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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Sandblasting is a surface cleaning process by shooting particles in the form of sand on the surface of the material, causing the material to become clean and rough. In industrial manufacturing companies where there is a structural fabrication process, of course, it will go through a sandblasting process to determine whether or not the quality of the products produced is feasible. Where to produce products with good quality, the resulting surface roughness value must be high. The sandblasting parameters used are spraying pressure, spraying time, and abrasive material size in working with A36 steel material which is one of the materials for making structural fabrication. This research uses the Taguchi method, which is one of the experimental design methods that can be used in controlling the quality of a product. With this method, the optimum parameters will be sought with the larger is better criterion. From the experimental results, it was found that the parameters that affect surface roughness are spraying pressure and abrasive material size with a percentage contribution of 66.81% and 27.60%, respectively, while the spraying time parameter did not affect surface roughness but contributed 3.30%.
Analisa Daya Rekat Cat dengan Variabel Surface Roughness, Temperatur Substrat dan Jenis Material Abrasif Menggunakan Metode Taguchi Arum Sukma Mutiara; Farizi Rachman; Rizal Indrawan
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 7 No 1 (2023): Conference On Design And Manufacture Its Application
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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PT Lintech Duta Pratama is one of the manufacturing companies where in the process there is a finishing and painting manufacturing process. Painting is done with the aim of inhibiting the rate of corrosion and improving product appearance. Improper painting process results in defects. Products that have defects require repair so that they can then be sent to customers. Repeated repair processes cause delays in product delivery. To get products with good quality, research is needed to get the optimal combination of process parameters in the painting process. The process parameters studied are surface roughness, substrate temperature, and abrasive material type. The experimental design uses the taguchi method in the form of an orthogonal matrix L_9(3^4) with three replications. From the experimental results, the optimal combination of process parameters on adhesion and process cost simultaneously on paint adhesion was obtained, namely surface roughness at level 1 with a value of 50, substrate temperature at level 2 with a value of 34°C, and abrasive material type at level 1 with garnet abrasive. The surface roughness parameter gives a percentage contribution of 14.56%, substrate temperature 0.48%, and abrasive material type 84.28%.
Analisis Efektivitas Mesin CNC Turning Goodway GCL-2BL pada Departemen Machining Perusahaan Foundry Menggunakan Metode TEEP Yovindra Anggita Dyah Fortuna; Bayu Wiro Karuniawan; Farizi Rachman
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 7 No 1 (2023): Conference On Design And Manufacture Its Application
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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Goodway CNC turning machine GCL-2BL number T6 is one of 5 Goodway GCL-2BL CNC turning machines in the machining department of a foundry company. The machine works continuously for 24 hours in three shifts per day. In the production period from March 2022 to February 2023, the machine produced as many as 27 types of products. Machines that work continuously beyond normal limits can reduce machine capabilities, production capacity and speed up the replacement of machine spare parts due to damage that occurs to the machine. Therefore, measuring the effectiveness of the machine needs to be done to find out how the condition of the machines and equipment in the company. The method used to measure machine effectiveness is the Total Effective Equipment Performance (TEEP). In addition to TEEP, this study used FMEA and FTA methods to analyze the factors causing the low level of effectiveness of the machine. Based on the results of the data processing that has been carried out, the TEEP value is 32.43%. This value is still far below the TEEP global standard of 80%. The most influential factor that influenced the low value of TEEP was the availability rate. Based on FMEA and FTA analysis, 21 problems caused low availability rate values and 27 alternative corrective solutions were found to overcome the problems. One of the problems found was leakage of pump oil and turret hydraulic oil. This factor is caused by the long service life and quality of the seal, which is less durable, so an alternative solution to overcome the problem is to replace the seal component with a new one.
Penerapan Metode Taguchi Dalam Pengoptimalan Parameter Injection Moulding Terhadap Netto Produk Bioring Cone Cup Ika Pramestiani; Bayu Wiro Karuniawan; Farizi Rachman
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 7 No 1 (2023): Conference On Design And Manufacture Its Application
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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Bioring Cone Cup products are produced by Sukodono molding industry with injection molding machine. However, at the beginning of production in getting the parameter value still uses a trial and error system, so this problem results in defects that cause the weight of the product is not in accordance with the agreement so that this product must be recycled again by spending a long time. With this problem, the company suffered losses because it had to pay compensation for production delays. Therefore, more study on the effect of optimizing injection molding settings on the net response of bioring cone cup products is required. This research uses the parameters of injection pressure, injection temperature, and cooling time. To identify the impact of various elements as well as the ideal manufacturing process parameters, the Taguchi technique is employed, with the rule that the smaller the signal to noise ratio, the better. From the experimental results, the optimal combination of variables is obtained, namely the injection pressure parameter at level 1 with a value of 80 bar, injection temperature at level 3 with a value of 230? , and cooling time at level 3 with a value of 0.5 seconds
Co-Authors Achmad Syawariqul Anwar Adelia Al Sakina Aditia Rizki Sudrajat Aditya Maharai Aditya Maharani admin CDMA Afifah, Zumrotin Nur Ahdinia Intan Lestari Ajeng Sukarno Putri Akhmad Nabil Allam Akhzam Samyvikar Akseptori, Ristanti Alifia Rojana Am Maisarah Disrinama Aminatus Sa’diyah Anda Iviana Juniani Anggie Madhu Firdiandani Anggie Madhu Firdiandani Anita Nuryanti Anni Intan Faricha Anni Intan Faricha Aprilia Puspita Dewi Arfianto, Afif Zuhri Arief, M.Lukman Arif, Muhammad Lukman Arum Sukma Mutiara Arumsari, Nurvita Ashari, M Luqman Bachtiar Bachtiar Bagas Ramadhan Sutrisno Bayu Wiro K Bayu Wiro K. Bayu Wiro Karuniawan Bayu Wiro Karuniawan Bayu Wiro Karuniawan Bayu Wiro Kurniawan Beauty, Nur Lailany Fenny Clarissa Addikko Febryantie Yasmine Deni Oktavina Radiant Dewi Kurniasih Dewi Kurniasih Dewi Kurniasih Dewi Kurniasih Dewi, Aprilia Puspita Dhika Aditya Purnomo Diajeng Rizky Amelia Dian Asa Utari Faiz Hamzah, Faiz Fajardini, Ridhani Anita Faren Rizka Samara Fipka Bisono Firmansyah, Vicky Candra Fitri Hardiyanti Gaguk Suhardjito Hamzah, Fais Hasugian, Devina Bianca Putri Rahadyan Heppy Ridhatul Aula Hisyam Rafly Syahputra Iis Nafisa Ika Erawati Ika Erawati Ika Pramestiani Ika Pramestiani Ika Rista Yuniarti Astutik Indrawan, Rizal Indri Santiasih Inge Ventarani Abdul Irishka Sara Aprilia Irna Faridatul Khasanah Isanda Ika Damayanti Isna Aulia Kharisma Ivan Bagus Achmal Karuniawan, Bayu Wiro Kholish Adilah Damayanti Kinari Lalitya Kirana Enggar Kusuma Kurniawan, Bayu W. Kusuma, George E Lanang Ilham Kelana Lintang Aditya Wardani Lukman Handoko M. Basuki Rahmat Maharani, Aditya Mahfudzi, Imam Maya, Risma Aris Mega Tri Yoningtias Melia Chandra Millana Mohammad Basuki Rahmat Muhammad Afif Muhammad Haffid Indra Brillyanto Mutiara, Arun Sukma Nanda Dini Eka Syah Putri Neoninsa Risma Rossihanida Nizar Anas Novita Anggraini Nur Lailany Fenny Beauty Oktaviana Vara Ika Putri Pradita Nurkholies Pramestiani, Ika Pranowo Sidi Primaningtyas, Widya Emilia Purnomo, Dhika A. Purnomo, Dhika Aditya Purwitasari, Ratri Wahyuning Putri Amalia Maviroh R. A. Norromadani Yuniati R. A. Norromadani Yuniati Rachmat, Aulia Nadia Ratri Wahyuning Purwitasari Renanda Nia Rachmadita Renanda Nia Rachmadita Ridhani Anita Fajardini Rikma Mila Ilmaya Rina Sandora Rinanto, Noorman Risdyani Nabila Basyasyah Risma Aris Maya Risma Aris Maya Rizal Indrawan Rosyita Firdaus Rosyita Firdaus Ryan Yudha Aditya Santi Wulan Purnami Sidi, Pranoto Thina Ardliana Thina Ardliana, Thina Thoriqul Hakim Tisya P. Ramadhani Tisya Pramesta Ramadhani Tri Andi Setiawan Umami, Rena Riza Wahyudi Wahyudi Wardani, Lintang Aditya Wisdha Riezqi Ginandhani Yahya Bahar Prihantono Yoningtias, Mega Tri Yovindra Anggita Dyah Fortuna Yugowati Praharsi Yugowati Praharsi Yuniati, R.A. Norromadani Zaqi Asshidiqi Zumrotin Nur Afifah