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H. Irawan

Bio: H. Irawan is an academic researcher. The author has contributed to research in topics: Shipbuilding & Competence (human resources). The author has an hindex of 1, co-authored 4 publications receiving 1 citations.

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TL;DR: In this paper , the authors used Failure Mode and Effect Analysis (FMEA) to determine potential defects that can affect the quality of the ship and resolved these defects using a Logic Tree Analysis (LTA) in order to obtain recommendations for improvements.
Abstract: Traditional ships are currently experiencing a significant demand in proportion to the increasing number of fishermen using traditional boats in West Aceh District, Indonesia. However, shipbuilders experienced many obstacles during the manufacturing process, therefore the quality of the ships produced was not in accordance with the standards or the demand of the ship owners. Imperfections in the form of defects on the ship are often found when the ship has been completed. The purpose of this study is to solve the problem of defects that occur in the traditional shipbuilding process in Aceh Barat District, Indonesia. Solving these problems is expected to improve the quality of the ships produced. The initial identification process using Failure Mode and Effect Analysis (FMEA) will be carried out to determine potential defects that can affect the quality of the ship. Defects that pose a high risk to the quality of the ship were resolved using a Logic Tree Analysis (LTA) in order to obtain recommendations for improvements. Based from the results, four risks of damage have been identified that affect the quality of the traditional ships produced, namely; the selection of the quality of raw materials, imperfect wooden joints, easily corroded steel bolts, and poor installation of additional equipment. There are several actions that can be used, among others; replacement of damaged components, reconnection, hot dipped galvanized bolt replacement, and repair the installation of additional equipment.

1 citations

Journal ArticleDOI
TL;DR: In this paper , the authors identify waste in shipbuilding production lines through a lean manufacturing approach, which is one of the ways in shipyards to observe the level of waste in the production process, so that it can reduce unnecessary activities in the manufacturing process which can increase production efficiency and effectiveness.
Abstract: Shipyard is a specialized facility equipped with various tools to support the process of building, repairing and maintaining ships. There are several types of variant ships, such as military ships, tourist boats, cargo ships and passenger ships. Apart from being a place for shipbuilding, shipyards are utilized to conduct several activities, such as ship design, equipment installation, plate installation, feasibility tests and classifications. There are many production activities and production flows that allow for potential waste problems that have an impact on labor usage, product quality, costs, and production time. The aim of this research is to identify waste in shipbuilding production lines through a lean manufacturing approach. The lean manufacturing approach is one of the ways in shipyards to observe the level of waste in the production process, so that it can reduce unnecessary activities in the production process which can increase production efficiency and effectiveness. This study approach begins with the identification of waste in the production line through mapping on each line so that activities that have no added value are identified. Based on the results of identification using the waste assessment model (WAM) method which consists of a waste relationship matrix (WRM) and a waste assessment questionnaire (WAQ), waste is obtained namely inventory (27,20%), overproduction (20.24%), defective products (20.04%), motion (12.47%), transportation (9.23%), waiting time (7.46%) and process (3.37%).
Journal ArticleDOI
TL;DR: In this article , a Monte Carlo simulation is used as an evaluator to increase the reliability and availability of performance by predicting failure time and repair time for each critical component of boiler part.
Abstract: This paper presents a Monte Carlo simulation to determine the reliability and availability of boiler critical components in a steam power plant. The Monte Carlo simulation results are expected to be a reference for maintenance and repair times that will be used in the future. Steam power plant is one in every of the foremost wide used power plants in Indonesia, and one of them is located in Nagan Raya Regency, Aceh, Indonesia. Nagan Raya steam power plant has an installed capacity of 2x110 megawatts. The highest failure frequency is found in the boiler, this is reflected in the high downtime. Performance in terms of reliability and availability needs to be evaluated to minimize these failures. Monte Carlo simulation is used as an evaluator to increase the reliability and availability of performance by predicting failure time and repair time (TTF and TTR) for each critical component of boiler part. Monte Carlo simulation uses random numbers with a uniform distribution (0 to 1) generated from generating random numbers, then converting them to non-uniform distributions using the inverse transformation method. Monte Carlo simulation will be carried out on eight critical components of the two boiler units at Nagan Raya steam power plant. Monte Carlo simulation results on eight critical components of the boiler obtained a reliability value of 30% to 42% with TTF at 260 hours to 1.312 hours, a reliability value of 22% to 41% with TTR at 1,57 hours to 2,26 hours, and the average availability value is above 99%.
Journal ArticleDOI
TL;DR: In this article , a qualitative research provided by deductive process with an approach focused on curriculum redesigning and teaching the practice in line with Industrial Revolution 4.0 practices is performed to analyze the dominant aspect of Industrial Revolution 5.0.
Abstract: The observance of ultramodern developments in view, amalgamation digital, and physical systems will be convincing to a revolution. Universities are required to add to their approach and methods of educations. The latest technologies such as Artificial Intelligence, Cloud Computing, Big Data Analytics, Internet of Thing, Augmented Reality and other advancements need to be the focus for a student to learning its application. This paper based on qualitative research provided by deductive process with an approach focused on curriculum redesigning and teaching the practice in lines with Industrial Revolution 4.0 practices. This research is performed to analyze the dominant aspect of Industrial Revolution 4.0 and highlight the focused areas to be studied by universities while updating and designing their inline curriculum with a revolution upcoming. Based is upon the above-contented analysis and after evaluating terminologies, a curriculum must fulfill proposed an analysis of big data, augmented reality, internet of thing, artificial intelligence, and cloud computing.

Cited by
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TL;DR: In this article , a fishbone diagram is used to identify the root causes of problems in a process, which is useful for finding the factors that cause a problem, such as man, method, machine, material, and environment.
Abstract: PT. Y is a company engaged in the processing of fresh palm fruit bunches into Crude Palm Oil (CPO), and has a production capacity of 30 tonnes/hour. The CPO production system generally goes through a long process and there are several processes that are not optimal. One of the processes is pressing, where this process experiences a lot of oil loss. Oil loss experienced at PT. Y of 6.28 to 6.32 percent of total production. Therefore, it is important to identify the causes of oil loss in the pressing process so that it becomes a preventive measure and can reduce the percentage of oil loss during the production process. The purpose of this research is to identify the factors that cause CPO oil loss and to recommend solutions to minimize CPO oil loss in screw press machines using fishbone diagrams. A fishbone diagram is used to identify the root causes of problems in a process. The cause of the problem is often caused by five elements, namely Man, Method, Machine, Material, and Environment. Fishbone diagram is useful for finding the factors that cause a problem. The results obtained from the fishbone diagram are several factors that cause oil loss in the pressing process or in the screw press machine including machine factors, raw materials, humans, and method factors. Recommendations that can be implemented by companies include routine maintenance of screw press machines, both corrective maintenance and preventive maintenance, it is necessary to control the quality of fresh fruit bunches from the beginning of harvest until the fruit reaches the loading ramp station, and this requires training so that operators can better understand how to machine operation.