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Andi Adriansyah
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Sinergi
Published by Universitas Mercu Buana
ISSN : 14102331     EISSN : 24601217     DOI : https://dx.doi.org/10.22441/sinergi
Core Subject : Engineering,
Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering
SINERGI is a peer-reviewed international journal published three times a year in February, June, and October. The journal is published by Faculty of Engineering, Universitas Mercu Buana. Each publication contains articles comprising high quality theoretical and empirical original research papers, review papers, and literature reviews that are closely related to the fields of Engineering (Mechanical, Electrical, Industrial, Civil, and Architecture). The theme of the paper is focused on new industrial applications and energy development that synergize with global, green and sustainable technologies. The journal registered in the CrossRef system with Digital Object Identifier (DOI). The journal has been indexed by Google Scholar, DOAJ, BASE, and EBSCO.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 16 Documents
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Search results for , issue "Vol 26, No 2 (2022)" : 16 Documents clear
Effect of forging load and heat treatment process on the corrosion behavior of A588-1%NI for weathering steel application in a marine environment Miftakhur Rohmah; Permana Andi Paristiawan; Toni B. Romijarso
SINERGI Vol 26, No 2 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.2.013

Abstract

The study focused on the effect of forging load and heat treatment on the corrosion behavior of A588-1%Ni weathered steel. The samples used were hot forged steel (A588%-1%Ni) with a load of 50 tons and 75 tons at a temperature of 800-850 °C. The test sample was reheated at an intercritical temperature between A3–A1, around 780 °C, held for 1 hour, and then cooled to room temperature. The cooling media used are water, oil, and open air. Forging loads and heat treatment variation affect the microstructure and corrosion rate of A588-1%Ni. Based on the metallographic test and after the hot forging process, A588-1%Ni laterite steel has a microstructure as ferrite-perlite. Then, after heat treatment as ferrite and cementite-containing phase, pearlite, bainite, or martensite may very well. Cooling water delivers a uniformly distributed lath martensite with an acicular ferrite phase. In addition, the oil media creates bainite with an acicular ferrite phase coarser size. The open-air media produces a pearlite + ferrite phase. Corrosion behavior of laterite steel subjected to hot forging process and followed by heat treatment was evaluated in 3% NaCl solution. Oil cooling with bainite-ferrite microstructure has the lowest corrosion rate, which is 11.96x10-3 mmpy.
Performance on soil utilization model as interlock block wall material Muhammad Zakaria Umar
SINERGI Vol 26, No 2 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.2.014

Abstract

Soil characteristics around Kendari City are included in the clay soil category. So far, clay has not been used optimally. Clay is only used as a pile material in buildings. The land around the city of Kendari can be made of brick interlock material. This research is important to be carried out to utilize the surrounding land as building wall material to obtain an economical and effective wall material. This study aimed to test the Land Use model's compressive strength and water absorption performance as an interlock block material in Kendari City. In this study, three treatments were made. Each treatment made 10 test specimens. Test specimens are made with a size of 25 cm x 12.5 cm x 10 cm. The research steps are preparing work tools, preparation of work materials, dry stirring process, moist stirring process, printing, drying, watering, testing, and data analysis. Data collection techniques are carried out in the laboratory. Testing includes compressive strength and water absorption. Based on the results of tests in the laboratory, interlocking brick from the ground has low compressive strength and water absorption. Interlock block can be used as a wall under the following conditions: first, the interlock brick material using clay is the same as the clay used by red brick material; second, interlock brick material from the soil is added with sand material.
Post-Irradiation Mechanical Properties Prediction of Al 6070 of MTR-Fuel Bundle for Cutting Process Antonio Gogo Hutagaol; Imam Hidayat; Maman Kartaman Ajiriyanto; Supaat Zakaria
SINERGI Vol 26, No 2 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.2.015

Abstract

The Al 6070 is the side plate material of the MTR-fuel plate bundle. These post-irradiation mechanical properties will be used in the side plate cutting process to obtain certain plates from the MTR-fuel plate bundle. This activity is part of a series of post-irradiation test processes from the MTR-fuel plate bundle in order to determine its performance. After testing in the form of a bundle (assembly), then continued testing of certain plates from the bundle. Disassembly of the plate is carried out by cutting along the two side plates (aluminum alloy) that clamp the plate. The mechanical properties of the workpiece material are important factors that affect the conditions of the machining (cutting) process. Prediction of post-irradiation mechanical properties was carried out using the change percentage of before and after irradiation of other aluminum alloys. The prediction carried out with the Si transmutation as the dominant one affects the post-irradiation mechanical properties changes in aluminum alloys. The change percentage added the mechanical properties of the pre-irradiated side plate material of the MTR-fuel plate bundle. Pre-irradiation testing of the Al 6070, namely chemical composition tests, pre-irradiation mechanical properties tests, including hardness tests (micro), and tensile tests (max stress, yield stress, and % elongation). Prediction of changes in mechanical properties of side plate material (aluminum alloy, Al 6070) before irradiation, compared to after irradiation is: hardness value from 98.51 to 127 (gf/µm2), tensile strength from 265.371 to 398 (N/mm2), the yield strength from 204.2 to 306 N/mm2.
Employing a Decision Support System (DSS) application system to modify a non-standard wall-mounting electrical panel using a 3D CAD modelling Muhammad Arifur Rahman; Sally Cahyati
SINERGI Vol 26, No 2 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.2.008

Abstract

Flexibility in the design process becomes an absolute necessity in a smart factory in the era of industrial manufacturing 4.0. CAD technology with a 3D modeling capability serves as a backbone in the design process in a manufacturing industry. Here, iLogic serving as an add-on of Inventor software will be combined with a Decision Support System (DSS) to build a DSS application system, namely "Panel Auto System". This system will help an engineer modify a 3D model wall-mounting panel to fulfill a non-standard order from his or her customers. This 3D-model database from various parts of the wall-mounting panel is generated from the 3D modeling. Then, by employing the if/then/else rules in the iLogic, the system can modify a 3D model wall-mounting panel data standard and serves as a geometric 3D model based on the customer’s order. The system works well and has been validated. The efficiency of the modeling process using the "Panel Auto System" increases its time efficiency up to 97,6 % compared to a manual process. Therefore, this system can increase the engineer’s productivity in the design of an in-wall mounting panel, and the customers can get the order of their 3D model faster.
Determination of the parameters of the firefly method for PID parameters in solar panel applications Machrus Ali; Hadi Suyono; Muhammad Aziz Muslim; Muhammad Ruswandi Djalal; Yanuar Mahfudz Safarudin; Aji Akbar Firdaus
SINERGI Vol 26, No 2 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.2.016

Abstract

The optimal performance of solar panels is very important to produce maximum electrical energy. Solar panels can work optimally when equipped with a solar tracker. The solar panel tracker works by following the sun's movement. A Proportional, Integral, Derivative (PID) based control is used to optimize the performance of the solar tracker. An optimal tuning is needed to get the PID parameter. The Firefly method is an intelligent method that can be used to optimize PID parameters. Three Firefly Algorithm (FA) parameters are used in the program: Beta is used to determine firefly speed, Alpha is used for flexibility of movement, and Gamma is used for more complex constraints or problems. This Dual Axis photovoltaic tracking study uses the beta value determination, changing the Bêta value from 0.1 to 0.9. From the results of 10 models, it was found that the PID constant values were varied. On the horizontal Axis, the best results are if the Beta is given at 0.4, and the worst result is if the Beta is given at 0.8. On the vertical Axis, the best results are if the Beta is given at 0.3, and the worst result is if the Beta is given at 0.8. 
Comparative analysis of classification algorithm: Random Forest, SPAARC, and MLP for airlines customer satisfaction Safira Amalia; Irene Deborah; Intan Nurma Yulita
SINERGI Vol 26, No 2 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.2.010

Abstract

The airline business is one of the businesses determined by the quality of its services. Every airline creates its best service so that customers feel satisfied and loyal to using their services. Therefore, customer satisfaction is an essential metric to measure features and services provided. By having a database on customer satisfaction, the company can utilize the data for machine learning modelling. The model generated can predict customer satisfaction by looking at the existing feature criteria and becoming a decision support system for management. This article compares machine learning between Split Point and Attribute Reduced Classifier (SPAARC), Multilayer Perceptron (MLP), and Random Fores (RF) in predicting customer satisfaction. Based on the data testing, the Random Forest algorithm provides better results with the lowest training time compared to SPAARC and MLP. It has an accuracy of 95.827%, an F-score of 0.958, and a training time of 84.53 seconds.

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