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All Journal Indonesian Journal of Chemistry Indonesian Journal of Energy Journal of Materials Exploration and Findings (JMEF)
Fatriansyah, Jaka Fajar
Department Of Metallurgical And Materials Engineering, Faculty Of Engineering, Universitas Indonesia, Kampus Depok, West Java 16424, Indonesia
Chemical Engineering, Chemistry & Bioengineering Chemistry Energy

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Journal : Journal of Materials Exploration and Findings (JMEF)

 1 
Preface of Volume 1 Issue 1 on Journal of Materials Exploration and Findings (JMEF) Fatriansyah, Jaka Fajar
Journal of Materials Exploration and Findings (JMEF) Vol. 1, No. 1
Publisher : UI Scholars Hub

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The Optimization Of Failure Risk Estimation On The Uniform Corrosion Rate With A Non-Linear Function Hartoyo, Fernanda; Fatriansyah, Jaka Fajar; Mas'ud, Imam Abdillah; Digita, Farhan Rama; Ovelia, Hanna; Asral, Datu Rizal
Journal of Materials Exploration and Findings (JMEF) Vol. 1, No. 1
Publisher : UI Scholars Hub

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Abstract

Failures in the oil and gas pipeline system are conditions that must be avoided and anticipated because the losses due to the failures can occur at a very high level. Internal corrosion is one of the significant causes of the failures in pipeline systems. In addition, this type of corrosion is due to the high content of carbon dioxide and other corrosive substances in crude oil and natural gas. Therefore, an optimal inspection scheduling system is required to prevent the possibility of pipeline failures due to corrosion and to avoid any overspending on the budget due to excessive inspection scheduling. Risk-based testing (RBI) is one of the best methods to define a test planning system by using an optimal risk assessment. In this article, a Monte Carlo random number generator is applied by using a huge number of random iterations to approximate the actual risk value of a pipeline system with a limited sample at the scene. The nonlinear corrosion rate function is used for comparison with the commonly used linear corrosion rate function based on ASTM G-16 95. Once a risk value is estimated, the value is monitored based on an assessment of the risk matrix for each corrosion rate function by using the RBI method. The results show that the nonlinear corrosion rate function provides a more accurate approach to estimating the actual risk value and ultimately leads to an optimal inspection planning system.
Investigating Features and Output Correlation Coefficient of Natural Fiber-Reinforced Poly(lactic acid) Biocomposites Federico, Andreas; Surip, Siti Norasmah; Wan Jaafar, Wan Nor Raihan; Fatriansyah, Jaka Fajar; Pradana, Agrin Febrian
Journal of Materials Exploration and Findings (JMEF) Vol. 1, No. 1
Publisher : UI Scholars Hub

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Polylactic acid (PLA) material has the potential to be applied in various industrial fields, but this material has shortcomings in terms of mechanical properties, especially mechanical strength, due to brittleness nature of PLA. The manufacture of PLA composite material with the addition of natural fibers as a reinforcing phase is one of the methods to increase the impact strength and maintain the biodegradable properties of the material. However, in theory, there are many factors that affect the mechanical properties of composite materials, thus making the mechanical properties of composites more complex than monolithic materials. The mechanical properties of these composite materials can be predicted using deep learning by paying attention to the relationship between factors, and between factors and their mechanical properties. This relationship has an important role in creating a predictive model with good accuracy. Therefore, correlation analysis is an important thing to do. Correlation analysis was applied using Python programming language to determine the relationship between the impact strength of natural fiber-reinforced PLA biocomposites with its feature information: chemical composition, density, dimensions, surface chemical treatment of natural fibers, matrix-reinforcement volume fraction, and the type of processing used to manufacture the material.
Co-Authors Arbi Irsyad Fikri Asral, Datu Rizal D. Dhaneswara Digita, Farhan Rama Elvi Kustiyah F. R. Kuskendrianto Federico, Andreas Hanindito Haidar Satrio Hartoyo, Fernanda Jana Hafiza M. B. Yusuf Mas'ud, Imam Abdillah Mochamad Chalid Muhammad Hanif Abdurrahman Muhammad Joshua Yuriansyah Barmaki Ovelia, Hanna Pradana, Agrin Febrian Salma Ilmiati Surip, Siti Norasmah Wan Jaafar, Wan Nor Raihan