Article Per Year (5 Year)
p-Index From 2020 - 2025
8.728
P-Index
This Author published in this journals
All Journal PROSIDING SEMINAR NASIONAL AUSTENIT Jurnal Sains dan Seni ITS Jurnal Ilmu Manajemen (JIM) Jurnal Statistika Universitas Muhammadiyah Semarang Jurnal Teknologi The Indonesian Journal of Occupational Safety and Health The Spirit of Society Journal : International Journal of Society Development and Engagement JTAM (Jurnal Teori dan Aplikasi Matematika) J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika Jurnal Entrepreneur dan Entrepreneurship Journal of Information System,Graphics, Hospitality and Technology JTRM (Jurnal Teknologi dan Rekayasa Manufaktur) International Journal of Marine Engineering Innovation and Research JISO : Journal of Industrial and Systems Optimization Sawala : Jurnal pengabdian Masyarakat Pembangunan Sosial, Desa dan Masyarakat Jurnal Techno Bahari Joutica : Journal of Informatic Unisla ATHENA: Journal of Social Culture and Society Metris: Jurnal Sains dan Teknologi Journal of Safety, Health, and Environmental Engineering Jurnal Teknologi Maritim Jurnal Cakrawala Maritim Proceeding Maritime Business Management Conference PROCEEDINGS CONFERENCE ON DESIGN AND MANUFACTURE AND ITS APPLICATION
Farizi Rachman
Politeknik Perkapalan Negeri Surabaya
Religion Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

Published : 83 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 83 Documents
Search

 4   5   6   7   8 
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

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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%.
OPTIMASI PARAMETER EDM SINKING PADA MATERIAL BAJA SKS3 MENGGUNAKAN METODE RESPONSE SURFACE Isanda Ika Damayanti; Bayu Wiro Karuniawan; Farizi Rachman
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 6 No 1 (2022): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The material of the workpiece is one of the non-electrical parameters that affect the performance of EDM Sinking. SKS-3 steel is a steel with a high carbon class and in its application this material is commonly used for products for making bending die, sizing and stamping tools for medium run, and cutting blades. In this study using the response surface method with 15 run orders and 3 replications by applying Box-Behnken Design for research experiment design and ANOVA to analyze data. Based on the results of the analysis, it was found that the optimal combination of parameters was Pulse current 7.29293 A, Pulse on time 5.34343 (?s), and Pulse off time 3 (?s). To produce optimal dies products, the factors studied are the influence of process variables such as pulse current, on time, and off time on the material removal rate and surface roughness in the machining process using EDM Sinking and to determine the right combination variable settings of process parameters such as pulse current, on time, and off time in order to produce products with optimal material removal rate and surface roughness in the process EDM Sinking
Penerapan Metode Six Sigma Dalam Pengendalian Kualitas Produk E-Clip Railway Di Perusahaan Foundry Iis Nafisa; Bayu Wiro Karuniawan; Farizi Rachman
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 6 No 1 (2022): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

A metal foundry company is producing e-clip. Based on 2021 data, e-clip products have 13 types of defects. Miss run being one of these defects which are included in the category that cannot be repaired with a percentage of 15.16%. This study aims to determine the factors that cause defects in e-clip products. The method used is Six sigma DMAIC. The measuring stage obtained 4.1 sigmas from the DPMO calculation. In the analysis stage using FTA obtained 7 factors, namely the operator is inconsistent during the pouring process, the inoculation process is less precise, the tapping temperature check is not carried out regularly, transfer speed from tapping to moulding is too long, the content water in the molding is too much, the ladle rinsing temperature is not high, the molding line does not stop when the operator is doing the pouring process.
Pengendalian Kualitas Produk Giboult Joint dengan Menggunakan Metode Statitical Quality Control (Studi Kasus: PT. Aneka Adhilogam Karya ) Ika Rista Yuniarti Astutik; Farizi Rachman; Thina Ardliana
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 6 No 1 (2022): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

PT. Aneka Adhilogam Karya is a company engaged in the metal casting sector which has superior products, Giboult Joint. In the production process, 9.84% defects were found. With the percentage of defects that have exceeded company standards, it can result in losses for the company both in terms of time, effort, and cost. This study aims to determine the percentage of the number of defects in the product as well as the factors that cause defects in the Giboult joint product and to plan the proposed improvement using the Statistical Quality Control method. Statistical Quality Control is the use of statistical methods to identify potential failures that arise by minimizing the risk of product defects, so that the resulting product can meet the quality standards of consumers by means of a statistical approach. Quality control tools used are check sheets, histograms, Pareto diagrams, control charts (P-Charts), and fishbone diagrams. The results obtained using this method are that there is an average product damage of 9.84%. and the average product damage is between the upper limit of 18% and the lower limit of 16.8% with the factors causing defects are human, material, method, and environmental factors. Proposed improvements that can be made by the company are by giving directions and warnings to workers, enriching more than 1 time, giving water according to the standard and providing air channels / holes in the mold, then by increasing air vents to facilitate air circulation.
Optimasi Parameter Springback Material ST37 Pada Mesin CNC Bending TRUMPF TrumaBend V85S Menggunakan Response Surface Method Kinari Lalitya; 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

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

TRUMPF TrumaBend V85S CNC Bending Machine can be used to get good bending results. But in every bending process there are several problems encountered, one of which is springback. Springback can be influenced by several parameters such as material thickness, compressive force, and bending angle, and the radius. Springback can be avoided by examining which parameters have the greatest influence. One way to improve the quality of bending products from springback is by parameter optimization. Parameter optimization is a technique used in the manufacturing process to produce the best products. Optimization of compressive force, angle, and radius parameters is done to optimize the value that can have a major effect on springback and which parameters are most influential. Design experiments using Box-Behnken with ANOVA to analyze data and performed using the Response Surface method. The results showed that the radius parameter was the only one that affected the ST37 material springback. While the optimum parameter obtained a compressive force of 500 KN, an angle of 120°, and a radius of 3 mm with a springback result of 130,28°.
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