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All Journal Jurnal Teknologi Maritim International Conference on Maritime Technology and Its Application Environation (Environmental Engineering Journal of Community Dedication) Proceedings Conference on Marine Engineering and its Application PROCEEDINGS CONFERENCE ON DESIGN AND MANUFACTURE AND ITS APPLICATION
Nurvita Arumsari
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Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Penerapan Metode RCM (Reliability Centered Maintenance) Pada Sistem Bahan Bakar (Fuel Oil System) Kapal TB.BLORO 10 Mukhsin Al Amin; Nurvita Arumsari; Endah Wismawati; Icuk Kurniawan
Proceedings Conference on Marine Engineering and its Application Vol 6 No 1 (2023): Conference on Marine Engineering and its Aplication
Publisher : Politeknik Perkapalan Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33863/cmea.v6i1.2690

Abstract

- Main Engine is one of the important compartments on the ship which is located in theengine room. Has a function as a propulsion driver and as the main propulsion engine of theship. With such an important position, scheduling maintenance on the Main Engine is veryimportant to do. Because if the main engine is not running, then there will be no operation ofthe propulsion system on the ship and it will definitely be very detrimental to the ship owner.This final project attempts to answer these demands by creating a maintenance schedule for themain engine fuel system. In addition, the total operating costs which consist of running,maintenance and downtime costs will also be taken into consideration in determining themaintenance time. In this research, scheduling of main engine maintenance is carried out usingreliability centered maintenance which is used to select, develop, and create alternativemaintenance strategies based on operational, economic and safety criteria. Based on the failureanalysis using Failure Mode Effect Analysis, several component failures were identified, suchas the fuel injection pump (worn drive shaft, worn governor plunger, fuel gear pump lackinglubrication), injector nozzle (damaged nozzle tip, burrel plunger seal, M/E performance wasnot optimal ), gate valve (nut valve difficult to operate, disk valve has a leak, gasket on valve),fuel oil transfer pump (bearing wear, pump impeller corrosion, shaft corrosion), swing checkvalve (crusted disk valve, valve gasket), fuel filter (dirty fuel filter), quick closing valve (crusteddisk valve, gasket valve).
Analisa Pengaruh Parameter Proses Injection Moulding Terhadap Berat Produk Cap Lem Fox Menggunakan Metode Taguchi Moh. Hadi Purnomo; Pranowo Sidi; Nurvita Arumsari
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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Abstract

Produk Cap Lem Fox diproduksi oleh PT. Manufaktur Plastik dengan mesin Injection Moulding.Namun pada awal produksi untuk mendapatkan berat produk yang diinginkan parameter yangdigunakan masih trial and error, sehingga permasalahan yang muncul adalah berat produk belumideal yaitu 4,6 gram, berat ideal yang diinginkan perusahaan adalah 4.25 gram. Denganpermasalahan tersebut dapat menyebabkan kerugian bagi perusahaan karena membutuhkanmaterial yang lebih banyak untuk setiap produknya sehingga menyebabkan membengkaknya biayaproduksi.Penelitian ini memfokuskan parameter injection speed, holding time, cooling time, dan temperaturleleh dengan variasi injection speed 45 mm/s, 50 mm/s, dan 55 mm/s; holding time 2 detik, 2.5 detik,dan 3 detik; cooling time 5 detik, 7 detik, dan 9 detik serta temperatur leleh 250 °C, 260 °C, dan270 °C. Dalam penelitian ini metode analisa yang digunakan adalah Taguchi dengan pendekatanratio signal to noise (RSN) smaller the better untuk mengetahui pengaruh faktor serta menentukanparameter optimal agar dihasilkan berat yang lebih efisien dari pada sebelumnya.Dari hasil penelitian didapatkan kondisi optimum pada parameter injection speed 55 mm/detik,holding time 2 detik, cooling time 5 detik, dan melt temperature 260 °C. Dengan parameter tersebutberat yang dihasilkan adalah 4.417 gram dengan cacat berat 0.167 gram.
Analisa Pengaruh Unsur Terhadap Kekerasan High Manganese Steel Menggunakan Metode Regresi Linier Berganda Ervita Rahma Budiyarti; Budianto Budianto; Nurvita Arumsari
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 2 No 1 (2018): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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Abstract

Apie Indo Karunia is one of the companies engaged in foundry located in Sidoarjo. Thiscompany is a company that works based on orders / orders from consumers (Make to Order).Products are made of metal casting processes, one of which is High Manganese Steel which has highmanganese content. Each metal has a different level of hardness, depending on the type of metal itself.There are several factors that can affect the value of metal products. This content in the metal canproduce a level of violence. Multiple Linear Regression Method to fix this problem. The first step is toinput data, then determine what factors are mostly affectMultiple Regression. From the result ofanalyze we can know that carbon and posphor are have big impact to high manganese steel’shardness
Identifikasi Kegagalan Mesin CNC JOBS LINX 30 COMPACT menggunakan Metode Root Cause Analysis dan Failure Mode and Effect Analysis Shintha Lailatul Maghfiroh; Anda Iviana Juniani; Nurvita Arumsari
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 2 No 1 (2018): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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Abstract

CNC JOBS LINX 30 COMPACT is used to produce many aircraft components in one company engaged in manufacturing in Indonesia. This machine works by giving a command signal (a program) to reduce the dimensions of the product vertically and horisontally according to the program. In order to satisfy aboaut demand, so be required machine operation condition which reliable. To determine whether the machine is reliable or not, it is necessary to identify the failure of the machine during the operation of the machine. Identification of failure is done by finding the root cause of failure using Root Cause Analysis method, and look for critical components of the machine using FMEA (Failure Mode and Effect Analysis) method.
Optimasi Parameter 3D Printing Terhadap Keakuratan Dimensi dan Kekasaran Permukaan Produk Menggunakan Metode Taguchi Grey Relational Analysis Andik Aris Setiawan; Bayu Wiro Karuniawan; Nurvita Arumsari
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 2 No 1 (2018): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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Abstract

The process of 3D printing using FDM (Fused Deposition Modelling) technology have many disadvantages, which are per layer product building system, different material properties and undefined parameters that makes it difficult to produce an optimum product quality. Therefore, the user of FDM technology 3D printing machine must do a research to achieve the correct parameter to have the optimum quality. In order to have the optimum product quality a research of parameter using optimization method is required. In this research, an experiment of specimen printing using 3D FDM technology 3D printing machine is done, the material is PLA (polylatic acid) with various different combination of parameters. The experiment is done in accordance with the experiment design designed with Taguchi Grey Relational Analysis method, combining two responses in one process to achieve the optimum parameter. After the optimum parameter is predicted, a confirmation experiment is conducted to prove that the parameter is correct and optimum. The result of this research are parameters with level of (A)1, (B)2, and (C)1 which is (A) 20 mm/s printing speed, (B) 210o C printing temperature, and (C) layer height resulting in 99% average dimensional accuracy and average roughness value of 11 µm. Therefore, it is concluded that the best 3D printing parameter is that of low level
Optimasi Parameter Proses Blow Moulding Terhadap Ketebalan dan Dimensi Snap pada Botol dengan Metode Taguchi Grey Relational Analysis Miftah Ahsanul Anhar; Fipka Bisono; Nurvita Arumsari
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 2 No 1 (2018): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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Abstract

Blow molding is a method of printing hollow workpieces by blowing air into a molded material. From the results of the process, the specification of a product must be met by the manufacturer in fulfilling orders from the customer. The thickness of the bottle wall and the snap dimension is one of the most difficult specifications to be controlled on a 500 ml chemical bottle product. This will be resolved if the machine operator knows the optimal combination of parameters at the time of operation. In this experiment the method used is Design of Experiments with Taguchi Gray Relational Analysis method approach to get the combination between two responses taken to obtain optimal parameters. By doing a total of 27 experiments ,the experimentd were implemented on a 500 ml chemical bottle product as per specified specification. Data were collected using a digital microscope for wall thickness and dimensions vernier to snap. The result of analysis with Taguchi Gray Relational Analysis method shows that the parameters which have significant effect on wall thickness and snap bottle dimension are blowing pressure and blowing time. While the parameter of melt temperature and stop time have less significant effect. The optimal parameter setting is blowing pressure of 9 bar, melt temperature of 260 ° C, blowing time for 7 seconds and stop time for 2 seconds.
Optimasi Parameter Proses Injection Molding Terhadap Inner Snap Diameter dan Netto Produk Pot Cream 10 Gram Metode Response Surface Dharu Fadillansyah Putra; Pranowo Sidi; Nurvita Arumsari
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 2 No 1 (2018): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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Abstract

Along with the times and advances in science and technology, plastics are increasingly being used by people in various products because of their diverse interests. Many industries make plastic as the main raw material in the production process. Processing of plastic seeds until it became finished products can be done in many ways one of them is injection molding. But there are some obstacles when plastic products are made in large quantities, so they need to improve the quality of products they are produced.One way to improve the quality of products is by optimizing the parameters. Parameter optimization is a technique used in the manufacturing process to produce the best product. This study aims to optimize injection molding parameters such as injection time, injection pressure and holding time to optimize inner snap diameter and netto on pot cream products. Each parameter has 3 levels which are designed using Box-Behnken method. In this research using ANOVA method to analyze experimental data and the optimization of inner snap diameter and netto in injection molding process is done by using response surface method.Based on the results, it is known that the parameters of injection time, and holding time has an influence on the inner snap diameter. While for the netto all parameters have influence such as injection time, injection pressure, and holding time. For optimization, the configuration of injection time parameter is 3.74 seconds, injection pressure is 47%, and holding time is 1.5 seconds which produce 46.11 mm of inner snap diameter and netto 8.7 gram.
Application Of Machine Learning Methods in Detecting Anomalies On L.O Cooler Component through Hyperparameter Optimization Nurvita Arumsari; Kelviano Daffa Septiangga; Invinandri joko Ahmad; Edi Haryono; Feby Agung Pamuji
International Conference on Maritime Technology and Its Application Vol. 3 No. 1 (2025): ICOMTA : International Conference on Maritime Technology and Its Application
Publisher : Surabaya State Polytechnic of Shipbuilding

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/icomta.v1i1.1

Abstract

LO Cooler is a crucial component in the ship's engine that functions to maintain the temperature of the lubricating oil within safe operational limits. Interference or failure of the LO Cooler can cause serious damage to the vessel's main engine. Early detection of anomalies in LO coolers can help prevent greater damage, thereby improving the reliability and operational efficiency of the vessel. This study proposes a machine learning-based anomaly detection method to monitor the performance of the LO Cooler in real time. In this study, operational data from the RPM, temperature, and pressure, on the LO Cooler were collected over a period of time. Machine learning algorithms, such as Support Vector Machine (SVM) and Decision Tree are applied to detect anomalous patterns in the data that indicate potential failures. The result that Decision tree modeling is the most accurate method for developing models for the LO Cooler of the main engine. With a data split ratio of 90:10 for training and testing and it achieved the highest accuracy, as indicated by the best following metrics MAE, RMSE, RAE, TP Rate and F-measure.
Co-Authors Adhi Setiawan Ahmad Muzzammil Aminatus Sa’diyah Anda Iviana Juniani Andik Aris Setiawan Andreas Nova Bagus Cahyo Juniarso Bayu Wiro Karuniawan Benedicta Dian Alfanda Budianto Budianto Dharu Fadillansyah Putra Dika Rahayu Widiana Edi Haryono Endah Wismawati Ervita Rahma Budiyarti Feby Agung Pamuji Fipka Bisono Icuk Kurniawan Invinandri Joko Ahmad Irma Rustini Aju Kelviano Daffa Septiangga M Sena Majid Miftah Ahsanul Anhar Moh. Hadi Purnomo Muhammad Shah Mukhsin Al Amin Pranowo Sidi Raden Dimas Endro Raden Dimas Endro Witjonarko Rifyan Haydare Zaman Riska Amaliyah Shintha Lailatul Maghfiroh Tasya Putri Lindyawati Thina Ardliana Yugowati Praharsi Yuning Widiarti Zendy Reda Rhomadan