INVOTEK: Jurnal Inovasi Vokasional dan Teknologi

Fluid Dynamic Simulation of Sail Design Performance on Sail-Assisted Ship; A Preliminary Study

Betty Ariani — 2024-02-10

Ships are a reliable means of transportation in an archipelagic country like Indonesia. The high use of fossil fuels in sea transportation is one of the contributors to emissions that needs attention apart from their dwindling availability. Efforts to use sails as an additional propulsion force on ships are one of the green technology issues in shipping for reducing the use of fossil fuels. It is about how the design affects the thrust on the ship. Tests were carried out on models M₁, M₂, and M₃ in variations 0^°, 30^°, and 45^° wind angles in computational fluid dynamic simulation at 12 knots constant speed. Through this article, there will be a discourse related to optimizing the design of the sail to produce energy efficiency and reduce the use of fossil fuels on ships. The shaped M₃ makes greater thrust on the ships than the other two models. The tendency of a decrease in the thrust of the sails with an increase in the wind direction angle, the distribution of force in two directions, namely as normal and parallel to the sails, is suspected as the cause.

Performance of Automatic Temperature Control System in Pyrolysis Reactor of LDPE Plastic Waste

I Made Agus Putrawan — 2024-02-17

Pyrolysis is a process of decomposing material at high temperatures without or with limited air and is an alternative waste treatment which is considered quite prospective to be developed. Plastic waste treatment as pyrolysis fuel, is strongly influenced by operating conditions, which consist of the thermal properties of plastics such as the LDPE type, which are still massively used in society. This research processes LDPE type plastic waste using technology fixed bed pyrolysis type batch reactor with a capacity of 0.01 m³ with initial heating from external heat of LPG energy source. The pyrolysis process takes in a closed reactor and the mass flow rate of the condensate flows naturally to the condenser for the condensation process to become pyro-oil product. Optimization of the reactor pyrolysis was carried out by adding insulated heat cover to reduce heat losses during the heating process. The addition of automatic temperature control to regulate the heating rate, makes operation control easier and reducing fluctuations in temperature distribution during pyrolysis process. The research was carried out with three operating temperature variations of 250, 275, and 300 °C using 0.8 kg LDPE plastic waste for batch test. The performance of automatic temperature control was observed using a digital thermometer and a comparison of the results before and after installation was carried out at a temperature of 300 °C. The results showed that heating temperature control which was previously done manually gives fluctuating results with a temperature difference of up to 50 °C. With the addition of an automatic temperature control system, the operating temperature during the pyrolysis process shows relatively lower fluctuations with a maximum difference of 20 °C. The initial heating energy consumption from LPG and the fuel consumption rate (FCR) show an increase along with the increase in the pyrolysis operating temperature setting.

Application of Artificial Intelligence (AI) in Construction Management: A Systematic Literature Review

Daniel M. Silitonga — 2024-04-18

Artificial Intelligence (AI) technology is increasingly being adopted in the construction industry in the current era. AI can be integrated with digital technologies such as Building Information Modeling (BIM), Internet of Things (IoT), and Smart Vision (SV). The integration of AI with digital technology has the potential to enhance efficiency, productivity, accuracy, and safety in construction project. This systematic literature review focuses on studying the implementation of AI in construction management, aiming to assess the current role of AI and anticipate future trends in the field. The findings of systematic literature review reveal that AI has been employed in construction projects for tasks such as estimation, resource management, improvement of workplace safety, material selection, structural analysis, and more. The advancements in digital technology, including the influence of 5G connectivity, have further augmented the sophistication of AI applications in the current era. The systematic literature review also delves into the study of machine learning and deep learning, both of which are pivotal in AI technology for executing predictive tasks, analyses, and automated decision-making. Despite the vast potential of AI, this review identifies various challenges associated with the technology, particularly concerning data security. Most existing studies focus on the limited application of AI in specific domains within the construction industry. To address this gap, this systematic literature review provides a comprehensive literature review on the broader perspective of AI application in construction management.