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Journal : PROCEEDINGS CONFERENCE ON DESIGN AND MANUFACTURE AND ITS APPLICATION

OPTIMASI PARAMETER PROSES LAMINASI DALAM PEMBUATAN KAYU LAMINA MENGGUNAKAN METODE RESPONSE SURFACE DAN GOAL PROGRAMMING Oktaviana Vara Ika Putri; Bayu Wiro Karuniawan; Farizi Rachman
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 4 No 1 (2020): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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Kayu laminasi adalah sebuah bahan baku pengganti kayu solid pada industry manufaktur meubel. Agar kulitas produk furniture yang dihasilkan tidak terdapat rongga dan celah sambungan maka harus ada perhatian khusus terhadap parameter laminasi, seperti presentase kuat rekat dan massa jenis. Hasil kayu laminasi yang diharapkan adalah kayu laminasi yang memiliki presentase kuat rekat lebih dari 50% dan memiliki nilai massa jenis yang sebesar - besarnya. Faktor yang akan dianalisa terhadap dua respon tersebut adalah heating time, pressure, temperature. Proses analisa pada penelitian ini menggunakan metode response surface. Dengan mengaplikasikan Box-Behnken Design untuk desain eksperimen penelitian dan menggunakan ANAVA untuk menganalisa data. Kemudian persamaan – persamaan tersebut diolah menggunakan Goal Programming agar mendapatkan hasil yang optimal. Hasil dari penelitian ini adalah Temperature memiliki pengaruh terhadap respon kuat rekat, dan Heating Time memiliki pengaruh terhadap respon massa jenis. Dengan hasil optimal yang diperoleh adalah Temperature 35,27 C, Heating Time 102,12 detik, dan Pressure 800,1 psi. Dengan optimasi respon yang dihasilkan adalah 51% untuk respon kuat rekat dan 0,3 gr/m3 untuk respon massa jenis.
Optimasi Pengaturan Parameter Bubut pada Material SKD 11 terhadap Kekasaran dan Material Removal Rate Menggunakan Metode Taguchi Grey Fuzzy Anita Nuryanti; Pranowo Sidi; Farizi Rachman
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 4 No 1 (2020): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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Within the increasing of competitive and demand for quality product in the market place, therefore the demands for quality for metal cutting are getting higher, one of them are turning process. The quality of the product can be seen from the surface roughness and material removal rate. Surface rougness have a affect in functional product. The more smaller in roughness, the quality is more better. Material removal rate in the machining process is very important because it relates to dimensional accuracy in tool, dies serta mold. This research using parameter related to turning such as spindle speed, feed rate and depth of cut for material SKD 11 using chisel CNMG. The analysis was performed using Taguchi Grey Fuzzy methd by combining two responses of surface roughness and material removal rate. The result shows that, feed rate, spindle speed and depth of cut has no significant effect to surface roughness and material removal rate. The percent contribuion od feed rate 0,086% depth of cut 15,44% and spindle speed 5,216%. The optimum combination of parameters
Analisis Penyusutan Produk Karet O-Ring Hasil Proses Compression Molding dengan Metode Taguchi Risdyani Nabila Basyasyah; Bayu Wiro Kurniawan; Farizi Rachman
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 5 No 1 (2021): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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The rubber products industries of the automotive sector are rapidly growing in Indonesia. In the manufacturing process, rubber products are often produced with compression molding because it is cost-saving. Manufacturers of rubber products are facing an obstacle in shrinkage but often ignored because it is still in minor data. Based on this, research analysis of O-Ring shrinkage was carried out. The purpose of this research is to obtain low shrinkage results from the right combination of parameters and the influence of those parameters. The parameters in this research are the type of rubber compound, press time, and heating temperature, while the response variable is shrinkage dimensions of small, medium, and large sizes O-Ring products. The experimental design and analysis were determined based on Taguchi's method. The results oif the analysis for Small O-Ring responses showed the parameters of the optimum condition process were obtained using the TO compound, 10 minutes press time, and 165°C heating temperature. For medium O-Ring responses, the TO compound, 10 minutes press time, and 185°C heating temperature were used. For large O-Ring responses used PPS compound, 10 minutes press time, 185°C heating temperature. As for the contribution of eachparameters for small, medium and large O-Rings, respectively; the type of compound is 25.334%, - 4.5571%, 5.9050%, press time 13.615%, -8.067726%, 17.7376%, heating temperature -3.758%, 19.772%, 59700%.
Upaya Perbaikan Kualitas Menggunakan Metode Six Sigma untuk Mengurangi Jumlah Cacat Produk Head Travel Kit pada PT. Berlina Tbk Diajeng Rizky Amelia; Rina Sandora; Farizi Rachman
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 4 No 1 (2020): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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In packaging industries, PT. Berlina is enganged in the production of plastic packaging, especially in injection moulding departement based on September 2019 data, there is a product that has the largest percentage of defects namely head travel kit (9.1%). Bubble defect is the most dominant problem among other disability categories with a percentage of 57.9%. This study aims to know and identify the factors that cause bubble defect and determine alternative improvement policies that can reduce the rate of occurance of bubble defects of head travel kit product to implement. The method use in this study is Six Sigma which includes five stages of analysis, namely DMAIC (Define, Measure, Analyze, Improve, and Control). Each stage of DMAIC is done by carefully analyzing and maintaining the process. The results of this study indicate that the factors causing bubble analyzed by FTA are speed injection parameters exorbitant, plastizing process less precise, back pressure parameter too low, and ventilation syste, less precise. There are plan of improvement effort that is varying the speed injection parameter, extend the holding time parameter, extend the back pressure parameter, and cleaning the venting area. While the effort improvement that has be done is verying the speed injection parameter with a range of 15 mm/s untul 25 mm/s and extend the holding time parameter to 6 secon.The result of effort improvement are showed the decrease of defects percentage between before and after improvement that is from 26 % to 10 % and obtained 3,145 sigma, it means more and better than from previous sigma value, it is 2,849 sigma.
Usulan Perbaikan Kualitas Proses Produksi Closing Rib Perusahaan Penerbangan Dengan Metode Six Sigma Nizar Anas; Farizi Rachman; Renanda Nia Rachmadita
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 4 No 1 (2020): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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The aim of this research evaluate the Closing Rib production process in aerospace company, trough identify the cause of product defect and find feasible solution to reduce defectedproduct. Closing Rib is a constituent component of Airbus A320 aircraft wing. Based on 2019 production data, still an average percentage of defects more than the average defect determined by the company at 1%. This study uses the Six Sigma method with concept of DMAIC (Define, Measure, Analyze, Improve, Control) in an effort to improve quality. The results of the analysis at define stage show Hole Oversized is the highest type of defect. At the measure stage, the production process stability is measured with an average proportion of defective products of 0.0818 and has one data out of control. In measuring process, the capability value is 3,6356 sigma. At analyzing the causes carried out with the FTA approach obtained 6 basic events including uniform matrix tools, poor tool storage, lack of tool identification tools, reamer usage over time, inappropriate maintenance of reamer and machine operation sequence. And in the improve stage, there are some improvement efforts such as; simplifying matrix tools, designing tool storage, creating maintenance tables for tools, and adding SOPs.
Optimasi Parameter pada Mesin 3D Printer terhadap Kekuatan Tarik dan Kekasaran Permukaan Produk Menggunakan Metode Taguchi Grey Relational Analysis Mega Tri Yoningtias; Farizi Rachman; Bayu Wiro Karuniawan
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 5 No 1 (2021): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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The world of the manufacturing industry continues to develop and one of the technologies that support the manufacturing industry in the era of the industrial revolution 4.0 is 3D printingtechnology. It is very important to know the mechanical properties of 3D printing materials, one of which is tensile strength. Low tensile strength causes the product to experience mechanical failure such as yielding and fracture. High surface roughness causes the wear of components and affects their functional factors. To get a product of good quality so that the resulting product has high tensile strength and low surface roughness, research is needed to find the right and optimal combination of process parameters in the 3D printing process. Tensile strength and surface roughness will be observed. The material used is ABS filament. Layer height, infill pattern, and nozzle temperature are varied. Design of Experiment using the Taguchi method in the form of an orthogonal matrix L9(34) with three replications and using Grey Relational Analysis. From the results of the study, it was found that the most optimal combination of independent variables for the response variables of tensile strength and surface roughness simultaneously was layer height at level 1 with a value of 0.1 mm, infill patternat level 2 with line pattern and nozzle temperature at level 1 with a value of 230°C. The layer height parameter gives a contribution percentage of 49.55%, infill pattern 46.92%, and nozzle temperature 1.67%.
Optimalisasi Penjadwalan Proyek Modern Rice Milling Plant (MRMP) Menggunakan Metode Project Evaluation Review Technique (PERT) Thoriqul Hakim; Aditya Maharai; Farizi Rachman
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 5 No 1 (2021): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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Abstract - PT. XYZ is a state-owned company engaged in EPC (Engineering-ProcurementConstruction) projects. PT. XYZ is currently working on one of the MRMP post-harvest infrastructure development projects. The company's year-end evaluation showed that the MRMP project was delayed and resulted in the company being reprimanded. Project time optimization analysis is needed to know how much time an project can be completed. This research is conducted to find out the optimum time needed to complete a project using the PERT method and to find out the optimum cost of project acceleration using the Crashing method. The optimum time needed in the work of the MRMP project with the calculation of Crash Duration by dividing the volume of work by daily productivity after crashing using 4 hours of overtime is for 369 days. While the optimum cost obtained from the results of the calculation of costs in the normal duration of Rp 67,562,451,004, - accelerated by 4 hours of overtime to Rp67.643.894.081,- obtained a difference of Rp 81.443.657,-. Based on the difference in cost, the optimal cost is Rp67.643.894.081,-. Based on the acceleration of overtime of 4 hours there is an additional cost of Rp 71,298,325, - in the initial budget planning of the project. The cost incurred for labor wages on the accelerated schedule is greater than 49,03 % of labor wages on the duration of the plan.
ANALISA DAYA REKAT CAT PADA PROSES PAINTING DENGAN VARIASI PARAMETER DUST LEVEL, TEMPERATUR, DAN KEKASARAN PERMUKAAN MENGGUNAKAN METODE TAGUCHI Yahya Bahar Prihantono; Pranowo Sidi; Farizi Rachman
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 4 No 1 (2020): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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PT. Lintech Duta Pratama is one of the contracting companies in Indonesia that produces various kinds of needs in various industries. PT Lintech Duta Pratama uses finishing materials using paintings as a deterrent to corrosion. At the material level and surface roughness of the material to the optimal adhesion of paint on steel plate A in the painting process. This study uses an experimental design using the Taguchi method with 3 levels and 3 parameter factors, based on the Taguchi method 27 experiments were conducted. Then the paint adhesion test is done, the test is done using the cut test corss method. This study aims to determine the paint adhesion in accordance with company specifications and determine the process of painting for the paint adhesion of the test object with a combination of parameter variations tested. Must minimize painting defects. The results of the analysis showed that the dust level parameter had a significant effect on the response of paint adhesion, but the surface roughness and temperature parameters did not have a significant effect. As a combination of parameters that can optimize the paint adhesion response are dust level with level 1, temperature with 26 ° C, and surface roughness with 40 µm.
Optimasi Kekasaran Permukaan dan Laju Pemotongan pada Mesin Laser cutting Menggunakan Material SUS 316L dengan Metode Taguchi dan Neural Network Putri Amalia Maviroh; Bayu Wiro Karuniawan; Farizi Rachman
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 4 No 1 (2020): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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Laser cutting machine is able to cutting hard material and having complicated patterns. In the cutting process in the laser cutting machine has several parameters, they are the laser beam focus point, cutting gas pressure and cutting speed. These parameters can cause cutting defects. Starting from the roughness surface until the product is not cut. So we need an optimization process through research methods. The optimization method in this research use the L9(34) orthogonal matrix with 3 levels on each parameter of taguchi and neural network prediction. From the taguchi optimization process, it produces an optimal parameter combination for the surface roughness response at the laser beam focus point -14 mm, gas cutting pressure 17 bar and cutting speed 0.4 m / min. And for the response of the cutting rate at the laser beam focus point -17 mm, gas pressure cutting 20 bar and cutting speed 0.6 m / min. While the optimal parameter settings using a neural network, for the response of surface roughness at the laser beam focus point -14 mm, gas pressure cutting 20 bar and cutting speed 0.2 m / minute. And for the response of the cutting rate at the laser beam focus point -20 mm, gas pressure cutting 17 bar and cutting speed 0.6 m / minute. In optimal parameter settings using the taguchi method, the laser beam focus point parameters have the greatest contribution, with a percentage of 46.5061% for the response of surface roughness. While cutting speed has a significant contribution in reducing the variation of the cutting rate response, with a contribution percentage of 66.0430%.
Optimasi Multirespon Proses Permesinan EDM Sinking pada Material AISI P20 Menggunakan Metode Taguchi-Grey Relational Analysis Ridhani Anita Fajardini; Dhika Aditya Purnomo; Farizi Rachman
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 4 No 1 (2020): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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Determining the combination of machining parameters is very important. The right machining parameters can produce optimal machining performance. EDM sinking is used to produce automotive components, aerospace, molds, and dies. AISI P20 is material that is widely used by manufacturing industry for dies and mold because of its hardness and resistance to heat. Based on these reasons, optimization is carried out to get appropriate parameter combination for the EDM sinking process using AISI P20. Process variables in this study are type of electrode, gap voltage, on time, and off time which aims to produce optimal response. Response variables observed were material removal rate, surface roughness, and electrode wear rate. Based on Taguchi method, matrix orthogonal L18 (21 × 73) was chosen for design of experiment. Taguchi method and Grey Relational Analysis used to optimize multiple responses simultaneously. Parameter optimum condition could be obtained by using graphite and setting values of gap voltage 50 volt, on time 250 ?s, off time 40 ?s. Percentage contribution of electrode type is 39,0733% whereas off time give contribution 32,4311%, on time 6,4574% and gap voltage 4,3590%.
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 Arun Sukma Mutiara 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 Dhika Aditya Purnomo Diajeng Rizky Amelia Dian Asa Utari Fais Hamzah Faiz Hamzah, Faiz 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 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 Mega Tri Yoningtias Melia Chandra Millana Mohammad Basuki Rahmat Muhammad Afif Muhammad Haffid Indra Brillyanto Nanda Dini Eka Syah Putri Neoninsa Risma Rossihanida Nizar Anas Noorman Rinanto Novita Anggraini Nur Lailany Fenny Beauty Oktaviana Vara Ika Putri Pradita Nurkholies Pramestiani, Ika Pranowo Sidi Primaningtyas, Widya Emilia Purnomo, Dhika A. Purwitasari, Ratri Wahyuning Putri Amalia Maviroh R. A. Norromadani Yuniati R. A. Norromadani Yuniati Rachmat, Aulia Nadia Ratri Wahyuning Purwitasari Rena Riza Umami Renanda Nia Rachmadita Ridhani Anita Fajardini Rikma Mila Ilmaya Rina Sandora 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 Tri Andi Setiawan Wahyudi Wahyudi Wardani, Lintang Aditya Wisdha Riezqi Ginandhani Yahya Bahar Prihantono Yovindra Anggita Dyah Fortuna Yugowati Praharsi Yugowati Praharsi Yuniati, R.A. Norromadani Zaqi Asshidiqi Zumrotin Nur Afifah