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Performance Analysis of Flywheel Addition on Drive System of Rotary Friction Welding Machine Yohanes, Yohanes; Siregar, Erikson; Susilawati, Anita; Badri, Muftil
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 52 No 1 (2018): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (818.654 KB) | DOI: 10.36842/jomase.v52i1.46

Abstract

Friction welding is a solid-state welding without the use of filler metal by using pressure method where by two workpieces to be connected. It is placed in contact and regulated relative motion in pressure, so that on the contact surface being heat (close to the metal liquid point), which form the metal connection. A friction welding machine in the laboratory of technology production of the University of Riau has some disadvantages, namely the electric motor as a driver head stock stems that are often damaged due to overheating such as excessive during welding. Thus was interfering with the welding process due to damage to the electric motor. Therefore, this paper purpose is carried out the development of friction welding tool by using flywheel. The Flywheel stores energy during high engine speed, and passes it during low engine speeds to produce a steady turn. In this study used three flywheels with a diameter of 250 mm, which each thick of 10 mm, 20 mm and 30 mm. From the test is obtained the value of the average tensile strength on each flywheel that is 522.736 MPa, 510.648 MPa and 531.79 Mpa.
Quality Control with Method Total Quality Management A case study at PT XYZ ramadhani, hafiz; Susilawati, Anita
Proksima Vol 2 No 2 (2024): Jurnal ProKsima
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Riau

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Abstract

This study aims to evaluate the implementation of Total Quality Management (TQM) at PT XYZ, a pulp manufacturing company, to enhance product quality and operational efficiency. A case study method was used. Data on product defects were collected from PT XYZ and analyzed using three TQM tools: Check Sheets, Histograms, and Pareto Charts. The study also recommends integrating four additional tools for a more comprehensive approach. Among eight defect categories, the most common issue was the Torn Wrapper defect. February's defect rate (0.36%) exceeded the target of 0.30%, indicating room for process improvement. The analysis is limited to descriptive statistics without inferential testing. Future research should apply broader statistical tools and compare findings across multiple companies. This study offers insight into the practical application of TQM in a local pulp industry setting, contributing contextual knowledge to the field.
Management of Motorcycle Workshops of SMEs Scale Based on Information System Arief, Dodi Sofyan; Susilawati, Anita; Simaskot, Johar; Badri, Muftil; Dalil, M.
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 47 No 1 (2017): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4025.546 KB) | DOI: 10.36842/jomase.v47i1.177

Abstract

The good workshop management must also be supported by a properly administration, in order to record all the resources that become workshop assets. Moreover, the motorcycle workshop also conducts spare parts sales to complete the replacement needs of broken vehicle spare parts. This study aims to analyze and design a workshop information system for Small and Medium Enterprises (SMEs) engaged in the field of repairing of motorcycle. Generally, the SMEs scale of motorcycle workshops in this research still uses a simple management system and manually in presenting the data required by the workshop. This it make difficult and inconvenient for the owner of a SMEs scale of motorcycle workshop. Sequence, it is necessary to optimalize the management system from the simpler manual system to be computerized. Stages of the method in this study: (1) survey of general workshop management SMEs scale, (2) do analysis of data obtained during the survey and provides input for workshop management based on 5S method, (3) to design and create information systems and databases using PHP (Hypertext Preprocessor) as the programming language and MySQL as the database. The approach of the 5S (Sort, Straighten, Shine, Standardize, Sustain) and creating an information system can manage equipments and properly administration in SMEs scale of motorcycle workshops. Therefore, they can help to optimize streamline the services and administration activity of SMEs scale of motorcycle workshops.
Development of a Python-Based Decision Support System for Evaluating Biomass Price Feasibility in Co-Firing Applications: Evidence from Riau, Indonesia Ramadhan, Aulia; Susilawati, Anita; Nazaruddin, Nazaruddin
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 69 No 2 (2025): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v69i2.542

Abstract

The utilization of biomass as a co-firing fuel in coal-fired power plants is a strategic element in Indonesia’s energy transition. A key challenge lies in accurately assessing the price feasibility of biomass fuel (B3m) and ensuring policy compliance. This study presents a Python-based Decision Support System (DSS) equipped with a graphical user interface (GUI) to compute and evaluate the Highest Benchmark Price (HPT) of B3m adaptively, including a maximum price coefficient (k =1.2). The system was tested using 12 actual proposals from B3m suppliers in Riau Province. Results indicate that 58.3% of offers complied with regulatory thresholds, with wood-based B3m proving generally more competitive than palm-based feedstocks. The system enables automated and transparent price feasibility classification. These findings highlight the potential of localized Python-based computational tools to support economic evaluation of renewable energy deployment.