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Andi Adriansyah
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Fakultas Teknik Universitas Mercu Buana Jl. Raya Meruya Selatan, Kembangan, Jakarta 11650 Tlp./Fax: +62215871335
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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 531 Documents
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Induced roll magnetic separator applied for high grade ilmenite separation from mining tailing Wiwik Dahani; Rita Sundari; Subandrio Somali; Irfan Marwanza; Andriyani Andriyani; Djoko Hartanto; Khuzaimah Arifin; Ratna Ediati
SINERGI Vol 27, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.2.015

Abstract

This article aimed to separate ilmenite (FeTiO3) mineral from tin tailing applying a single splitter IRMS (Induced Roll Magnetic Separator). Ilmenite mineral is the substantial main source for TiO2. This work used air table middling for feeding. The mineral components of middling feeding from air table using grain counting analysis were found as follows: cassiterite (48.61%), ilmenite (21.36%), monazite (18.56%), pyrite (4.60%), zircon (5.85%), quartz (0.71%), anatase (0.27%), and tourmaline (0.02%), It was found that electrical current and opening of single splitter affected the degree of separation addressing to ilmenite recovery and ilmenite grade. The finding showed that current of 15 Ampere and single splitter with opening 4.25 cm yielded ilmenite recovery more than 74%. The high grade ilmenite (90.46 %) and recovery of 29.38% was obtained using 5 Ampere  with single splitter opening of 1.0 cm. Up to date, the study on ilmenite separation from tailing only focused on the effect of current, however, the effect of single splitter magnetic separator  to enhance ilmenite recovery from other paramagnetic minerals such as monazite, siderite, xenotime and tourmaline has not yet been reported. 
Identification of operational risk of embedded Subscriber Identity Module (SIM) technology based on ISO 31000: Systematic Literature Review Dian Elok Pertiwi; Lien Herliani Kusumah
SINERGI Vol 27, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.2.007

Abstract

In the current digital era, telecommunications industry technology is growing rapidly, impacting the demands for innovation in the telecommunications operator business. One of them is the change in the size of the Subscriber Identity Module (SIM) card model, which is getting smaller, and the use of embedded SIM (eSIM) technology on smartphones. This study aims to identify operational risk factors from the change in SIM card technology to eSIM. The research method used is the Systematic Literature Review (SLR) method. This study documents and reviews scientific journal papers from scientific databases published from 2015 to 2022 on risk management in the information technology field, following this research's objectives. The results obtained from this study showed that there were 43 journals studied, of which four had the theme of technology-embedded subscriber identity module (eSIM), and 13 discussed risk operations technology
Model predictive control with exogenous auto-regressive model to improve performance in the CO2 removal Abdul Wahid; Nisa Methilda Andriana Rodiman; Alifia Rahma; Arshad Ahmad; Andri Kapuji Kaharian
SINERGI Vol 27, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.2.011

Abstract

Model predictive control (MPC) is used in the CO2 removal process in the Subang field to improve its control performance. MPC is used to maintain the CO2 concentration at the sweet gas output by controlling the feed gas pressure (PIC-1101), makeup water flow rate (FIC-1102), and amine flow rate (FIC-1103). The empirical model applied to MPC to represent the process model is the auto-regressive exogenous (ARX) model. The ARX model is compared with the first order plus dead time (FOPDT) model based on the root mean square error (RMSE) between the model and the actual process, then MPC parameters are tuned which include sampling time (T), prediction horizon (P) and control horizon (M) to control for the three variables. Improved control performance is measured based on the integral square error (ISE). The results show that the ARX model is the best model for the CO2 removal process with an RMSE value of 35%-91% smaller than the FOPDT model. The optimal control parameters Prediction Horizon (P), Control Horizon (M) and Sampling Time (T) in the CO2 removal process are 75, 25 and 1 on PIC-1101, 25, 10 and 1 on FIC-1102, and 30, 25 and 1 on FIC-1103. The MPC-ARX (MPC using ARX model) can improve the control performance of 33% in the servo control and 6-56% on the regulatory control. However, not all of them showed an increase in control performance improvement from previous studies even though they had used the best model (ARX). This is due to the MPC parameter setting that is not yet appropriate, so it needs to be retuning.
The assessment of drainage performance in the residential area using SWMM Yuliastuti Juliastuti; Timotius Kurniawan Wihartono; Oki Setyandito; Yureana Wijayanti; Lisma Safitri; Ika Sari Damayanti Sebayang
SINERGI Vol 27, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.2.016

Abstract

Flood is a general issue that can lead to the life and safety of residents. One of the problems is the lack of capacity in the drainage system in a residential area. This paper will analyze the drainage system based on the capacity in one of the residential clusters. The method for the drainage system performance in hydrology analysis was carried out with Log Person, and the return period for rainfall duration is ten years (R10) for hydraulic analysis using drainage system modeling with EPA – SWMM 5.1. The result based on hydrological is the precipitation for flood forecasting is 159.79 mm. It is found that the drainage capacity is filled in downstream of the main drain with a maximum discharge of 2.726 m3/s and secondary drains with a maximum discharge of 0.624 m3/s. Improvements were made to resolve the insufficiency of the existing channels by running two different scenarios: (1) Re-design the dimensions of the main and secondary channels, (2) Implement a detention pond, as well as re-design the dimensions of the secondary channels. Both scenarios could overcome the flood problem. Scenario 2 shows a higher reduction in the flow discharge at the downstream channel compared to scenario 1.  
Multilabel image analysis on Polyethylene Terephthalate bottle images using PETNet Convolution Architecture Khoirul Aziz; Inggis Kurnia Trisiawan; Kadek Dwi Suyasmini; Zendi Iklima; Mirna Yunita
SINERGI Vol 27, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.2.003

Abstract

Packaging is one of the important aspects of the product. Good packaging can increase the competitiveness of a product. Therefore, to maintain the quality of the packaging of a product, it is necessary to have a visual inspection. Furthermore, an automatic visual inspection can reduce the occurrence of human errors in the manual inspection process. This research will use the convolution network to detect and classify PET (Polyethylene Terephthalate) bottles. The Convolutional Neural Network (CNN) method is one approach that can be used to detect and classify PET bottle packaging. This research was conducted by comparing seven network architecture models, namely VGG-16, Inception V3, MobileNet V2, Xception, Inception ResNet V2, Depthwise Separable Convolution (DSC), and PETNet, which is the architectural model proposed in this study. The results of this study indicate that the PETNet model gives the best results compared to other models, with a test score of 96.04%, by detecting and classifying 461 of 480 images with an average test time of 0.0016 seconds.
The influence of heat rate and austenitization temperature on microstructure and hardness of Hadfield steel Haris Wahyudi; Swandya Eka Pratiwi; Adolf Asih Supriyanto; Daisman Purnomo Bayyu Aji
SINERGI Vol 27, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.2.012

Abstract

The As-Cast condition of Hadfield alloy usually contains (Fe, Mn)3C carbides around the austenitic grains, which promote brittleness, making the steel impractical in industry. Heat treatment is normally applied to reduce carbide content, lower carbides, and improve toughness. However, a complete austenitic structure is not attainable during solution treatment. The dissolution temperature and dissolution time are critical to obtaining complete carbide content. Furthermore, heating must be done slowly, and the quenching speed must be fast enough. This study examines the effect of heat rate and austenitization temperatures in the solution treatment on the microstructure and hardness of Hadfield steel. The heat rate of 3, 6 and 10 oC/min is selected to determine whether there is a change in the microstructure of Hadfield steel. The four austenitization temperatures of 1000, 1100, 1150 and 1200 oC are used to ascertain carbide dissolution into the austenite matrix. Grain boundary, hardness, and phase transformation will confirm the microstructural change and hardness properties. The optical microscope shows carbide content is reduced as the austenitization temperature increases. The consequence of carbide dissolution affects the hardness. Its hardness decreases as temperature increase due to the loss of carbide. The as-Cast specimen has the highest hardness of 227.8 HV30, and the lowest hardness is 176.7 HV30 belongs to a specimen that is heated up to 1200 °C and quenched into water. Grain size is measured by the line intercept method, which shows its increase as temperatures increase. The result of grain measurement is as follows: As-Cast 224.6 mm, T 1000 °C 323.3 mm, T1100 °C 409.2 mm, T1150 °C 1014.4 mm, T1200 °C 881.6 mm. SEM-EDS confirms that the main phase is austenite, and a small amount of carbide is detected in the austenite matrix. 
Utilizing waste heat gasoline engine in the design and fabrication of a fin and tube evaporator for the Organic Rankine Cycle (ORC) Awaludin Martin; Rudi Hartono; Reza Asrian
SINERGI Vol 27, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.2.004

Abstract

The excessive consumption of fossil fuels is causing environmental problems, which can be addressed by utilizing renewable energy sources such as hydro energy, biomass, solar heat, geothermal, and waste heat. In particular, the exhaust gas from gasoline engines presents an opportunity for energy recovery, as only 25% of the energy is utilized while the remaining 75% is wasted. A fin and tube type evaporator was designed, manufactured, and tested to utilize this exhaust gas in an Organic Rankine Cycle (ORC) system. The evaporator was designed with an outer tube diameter of 9.525 mm and a total tube length of 41.4 m, featuring 90 tubes and 135 fins with a total area of 14,325 m2. It achieved an average effectiveness of 94.33%. The results showed that the waste heat from the exhaust gas of a gasoline engine could be used as a source of energy in an ORC system with an efficiency of 2.13%. It results in 7.02 kJ/s of energy absorbed by the evaporator and a net power generated of 0.15 kJ/s. This research demonstrates the potential for utilizing waste heat from gasoline engines as an energy source to generate electricity.
Quality system as a mediating variable of the relationship between lean manufacturing and operational performance in the food industry Budianto Budianto; Zefki Okta Feri; Qomarotun Nurlaila; Helena Sitorus; Tina Hernawati Suryatman
SINERGI Vol 27, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.2.008

Abstract

The failure to implement lean manufacturing (LM) in the food industry was caused by the overlapping application of LM tools. The application of LM in the food industry is experiencing problems in the form of confusion in the placement of QS or Quality Control (QC). This problem is the background of this research. The objective of this study is to compare two methods of the implementation of LM in improving operational performance (OP), namely (1) making quality control (QC) a part of LM practice and (2) making quality control (QC) a part of the quality system (QS). The applied analytical method was the Structural Equation Modelling (SEM) based on Partial Least Square (PLS). The research findings indicated that "making QC a part of QS" can optimally mediate increasing LM against OP. This study's originality is a comparison of the relationship between LM and OP based on the two methods with large sample sizes. The implications of the findings are expected to become recommendations for applying LM in the food industry, especially in terms of placing quality in its implementation.
Plans for upgrading existing conventional 150 kV substations into digital substations in Sulawesi - Indonesia, accompanied by financial studies Daniel Rio Armanda; Pawenary Pawenary
SINERGI Vol 27, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.2.013

Abstract

The focus of Indonesia's G20 Presidency lies on three main pillars, one of them is transition to sustainable energy. The development of these conditions forced PLN (State Electricity Company in Indonesia) to innovate by participating in implementing the latest digitalization technology in distribution electrical energy to customers, one way to do this is by implementing the smart grid concept, which is digital substation technology, is considered capable to response the challenges of digitizing the electricity system in the energy distribution sector. Digital substation technology in Indonesia is still in development stage and there are only six pilot projects in scattered locations, hence in-depth research is needed regarding equipment requirements and the amount of investment needed by PLN to build digital substations, especially the plan for implementing digital substations in Sulawesi. One of methods for developing digital substations in Indonesia is upgrading conventional into digital substation. Research is conducted by studying and observing the existing digital substation in Indonesia. Afterwards in this paper will be explained how to upgrade and what materials, or equipment that must be equipped to upgrading conventional substations. Then, what is the actual value of the investment needed by PLN to build or upgrading into a digital substation in Indonesia, especially in Sulawesi. Furthermore, whether the upgrading plans can be declared financially feasible.
Risk Assessment of Petrol Filling Stations in a Metropolitical City of Kaduna State, Nigeria Laminu S. Kuburi; Umar Umar; Ayodeji Nathaniel Oyedeji
SINERGI Vol 27, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.2.005

Abstract

With both their high-risk and high-profit nature, Petroleum filling stations have become a significant subject in risk estimation and assessment studies. Some of the risks associated with this organization include compliance with laid-down standards by monitoring bodies. This study aims to carry out a risk assessment of petroleum filling stations in Kaduna Metropolis, Nigeria. This involved assessing the level of compliance to laid-down standards on environmental conditions and equipment and assessing the awareness of attendants in these petroleum filling stations to the possible risks in their working environment. The design methodology employed for this study was the use of self-administered questionnaires. The study result showed that the respondents were of the perspective that they are exposed to hazards in the petrol filling station. However, risks such as sleeping disorders, memory loss, cancer, etc., due to long-term exposure to hazardous petroleum substances seem to have lots of uncertainty from the attendants.

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