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All Journal JURNAL NASIONAL TEKNIK ELEKTRO Budimas : Jurnal Pengabdian Masyarakat JAREE (Journal on Advanced Research in Electrical Engineering) Jurnal Cakrawala Maritim Jurnal Teknologi Maritim Mein: Journal of Mechanical, Electrical & Industrial Technology 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
Arumsari, Nurvita
Politeknik Perkapalan Negeri Surabaya
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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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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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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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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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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.
Studi Pengaruh Model Pembelajaran Experiential Learning Agama Islam terhadap Kualitas Sikap Kerja Mahasiswa Vokasi saat OJT Dual System Mahfudzi, Imam; Kusuma, George E; Arumsari, Nurvita; Ashari, M Luqman; Rachman, Farizi
Jurnal Teknologi Maritim Vol 5 No 1 (2022): Jurnal Teknologi Maritim
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (P3M) - PPNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33863/jtm.v5i1.3602

Abstract

Pendidikan Agama Islam seharusnya berperan sebagai mata kuliah vital untuk pengembangan kepribadian mahasiswa untuk pembentukan pribadi yang berakhlak mulia. Pendidikan agama Islam di perguruan tinggi khususnya mahasiswa di pendidikan jalur vokasi mengutamakan penerapan konsep pada implementasinya. Oleh karena itu diperlukan penelitian ini untuk mengetahui pengaruh model pembelajaran experiential learning agama Islam di pendidikan tinggi vokasi terhadap kualitas sikap kerja mahasiswa vokasi saat melaksanakan On The Job Training (OJT) dual system di industri. Penelitian ini akan mampu menemukan gap analisis kesenjangan antara target kompetensi kurikulum, pengaruh pembelajaran pendidikan agama Islam klasikal di kelas dan ekstrakurikuler eksisting di kampus terhadap implementasi sikap mahasiswa di dunia kerja saat pelaksanaan OJT dual system. Hasil penelitian ini akan memberikan identifikasi defisiensi kurikulum yang akan menjadi acuan pada pengembangan role model pembelajaran agama Islam yang lebih sesuai bagi pola pendidikan vokasi yang mengutamakan aspek penerapannya. Berdasarkan hasil analisis IPA (Indicator Performa Analysis) diketahui prioritas utama softskill yang perlu diperbaiki adalah kepekaan dan kepedulian sosial dengan GAP tertinggi dikarenakan kurangnya dukungan kurikulum prodi. Sementara itu, dari hasil regresi linear diketahui pembelajaran PAI klasikal dikelas maupun model ekstrakurikuler berpengaruh signifikan terhadap implementasi sikap saat didunia kerja khususnya OJT dual system
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.
Design and Simulation Control Speed of Brushless DC 7 HP Using Direct Torque Method with Ripple Suppression Pamuji, Feby Agung; Rayhan, Muhammad Faris; Soedibyo; Yurisqi, Muhammad Athariq; Suryoatmojo, Heri; Arumsari, Nurvita
MEIN : Journal of Mechanical, Electrical & Industrial Technology Vol. 1 No. 1 (2024): MEIN : Journal of Mechanical, Electrical & Industrial Technology
Publisher : P3M Politeknik Perkapalan Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/mein.v1i1.13

Abstract

The last decade, electric cars have grown so rapidly. One of the driving parts in electric cars is the Brushless DC Motor (BLDC). The use of BLDC motors is needed because this motor has low mechanical losses, this is because the motor does not use brushes. However, in operation, there is still a ripple that is complained by the control or drive of the motor so that the efficiency of the motor rotation output torque and speed is not perfect. One way to operate a BLDC motor is by direct torque control method. The Direct Torque Control method became popular for controlling BLDC motors because it provides a fast dynamic torque response, the variables controlled in this DTC are flux and torque. Direct torque control (DTC) is a method used to control torque and speed on a motor with a variable frequency drive (VFD). This method is a calculation that includes estimating motor flux and torque based on the voltage and current on the stator. In the stator, the flux is estimated based on the stator voltage while the torque is estimated from the stator flux estimator and motor current.The input values measured to the DTC control are the current and voltage of the motor. The torque output of this DTC has a fairly high ripple along with the application of a larger load so that changes in motor load affect ωr. Ripple Torque that affects the speed of the rotor must be given an additional circuit, namely Ripple Suppression. This additional circuit will suppress the ripple so that the torque and speed rotation of the BLDC motor will be better. Therefore, this research will discuss the design and simula tion of the BLDC motor using the direct torque control method with ripple suppression which is expected to produce more efficient output from the BLDC motor due to the torque ripples on the motor have been reduced by the ripple suppression circuit. From the research results, it can be seen that the efficiency of BLDC motors increases by 2 to 3 percent at starting time and increases by around 1.5 percent at steady state.
Co-Authors Adhi Setiawan Agung Purwana Agus Khumaidi Ahmad Muzzammil Aminatus Sa’diyah Anda Iviana Juniani Andik Aris Setiawan Andreas Nova Ashari, M Luqman Bagus Cahyo Juniarso Bayu Wiro Karuniawan Benedicta Dian Alfanda Budianto Budianto Dharu Fadillansyah Putra Dika Rahayu Widiana Dika Rahayu Widiana Edi Haryono Endah Wismawati Ervita Rahma Budiyarti Farizi Rachman Feby Agung Pamuji Feby Agung Pamuji Fipka Bisono Haryono Edi Heri Suryoatmojo Heroe Poernomo Hery Suryoatmojo Icuk Kurniawan Indriawati, Melta Anindya Invinandri Joko Ahmad Irma Rustini Irma Rustini Aju Kelviano Daffa Septiangga Kusuma, George E Kusuma, George Endri M Sena Majid Mahfudzi, Imam Miftah Ahsanul Anhar Mochamad Ashari Moh. Hadi Purnomo Muhammad Shah Mukhsin Al Amin Poernomo Heroe Pramesti, Lely Pranowo Sidi Projek Priyonggo Sumangun Lukitadi Raden Dimas Endro Raden Dimas Endro Witjonarko Rayhan, Muhammad Faris Rifyan Haydare Zaman Riska Amaliyah Rosita Elen Shintha Lailatul Maghfiroh Soedibyo Soedibyo Soedibyo Tasya Putri Lindyawati Thina Ardliana Yugowati Praharsi Yuning Widiarti Yurisqi, Muhammad Athariq Zainal Arifin Muhammad Zendy Reda Rhomadan