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Sinergi
Jurnal Ilmiah Sinergi diterbitkan 3 (tiga) kali dalam setahun pada bulan Februari, Juni dan Oktober. Redaksi menerima tulisan tentang hasil penelitian, kajian pustaka atau tinjauan kegiatan yang berkaitan erat dengan bidang Teknik Mesin, Teknik Elektro dan Teknik Industri
Articles
198
Articles
SEAKEEPING PREDICTION OF DEEP-V HIGH SPEED CATAMARAN USING COMPUTATIONAL FLUID DYNAMICS APPROACH

Fitriadhy, Ahmad, Adam, Nur Amira, Amalina, N., Azmi, S. A.

SINERGI Vol 22, No 3 (2018)
Publisher : Universitas Mercu Buana

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Abstract

Seakeeping is the dynamic response of the ship in waves that may affect to passenger??s uncomfortability due to a harsh environmental condition.  Therefore, an extensive assessment of seakeeping performance in the initial step of ship design is necessarily required. The authors here proposed to analyze the seakeeping performance of ??deep-V?? high speed catamaran using Computational Fluid Dynamics (CFD) approach. Several effects of Froude number (Fr), wave-length (

ACTIVE POWER LOSS REDUCTION AND IMPROVEMENT OF STATIC VOLTAGE STABILITY MARGIN INDEX BY WATERWAY ALGORITHM

Lenin, Kanagasabai

SINERGI Vol 22, No 3 (2018)
Publisher : Universitas Mercu Buana

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Abstract

In this paper, the Waterway Algorithm (WA) is used for Active Power Loss Reduction and improvement of Static Voltage Stability Margin Index. The design of the Waterway Algorithm (WA) is imitated from nature and the whole waterway process which involves the flow of streams and rivers into the sea in the natural world. The proposed Waterway Algorithm (WA) algorithm has been tested on standard IEEE 30 bus test system and simulation results show clearly about the superior performance of the proposed algorithm in reducing the real power loss and upgrading the Static Voltage Stability Margin Index.

COATING THICKNESS ANALYSIS OF DEPOSITED FeCrAl SUBSTRATE BY γ-AL2O3 THROUGH NiO-ELECTROPLATING

Pranoto, Hadi, Nurato, Nurato, Feriyanto, Dafit

SINERGI Vol 22, No 3 (2018)
Publisher : Universitas Mercu Buana

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Abstract

Nickel Oxide (NiO) have widely applied in industrial and automotive to forming oxide layer on the substrate due to it have high thermal stability and corrosion resistant. However, NiO was not directly diffused to the substrate via co-precipitation, spray-pyrolysis and sol-gel methods. Therefore, NiO-electroplating was performed in coating FeCrAl substrate by γ-Al2O3 powder. This method was conducted using various time of 15, 30, 45, 60 and 75 minutes, a current of DC power supply is 1.28A and sulphamate type solution. From the data shows that smallest surface roughness (Ra) of NiO-electroplating (EL) samples located at EL 30 min sample for 0.69 µm. Ra of raw material was lower than coated samples due to it performed by coating activity on the substrate. It supported by coating thickness analysis that treated samples has a higher coating thickness up to 11.3 µm. EDS analysis observed some elements on coated and uncoated samples such as Carbon (C) of 4.62-20.67%, Oxygen (O) of 6.16-19.62%, Nickel (Ni) of 6.76-25.14%, Iron (Fe) of 23.96-48.53%, Sodium (Na) of 2.21-9.95%, Chromium (Cr) of 7.97-15.59% and Aluminum (Al) of 2.17-3.12%. Those elements promote to develop a protective oxide layer on FeCrAl at a high temperature of 1000 0C.

STUDYING THE DYNAMIC CHARACTERISTICS TO LENGTHEN THE OPERATING LIFE FOR A DIESEL ENGINE USING FREQUENCY RESPONSE FUNCTION (FRF) MEASUREMENT

Subekti, Subekti

SINERGI Vol 22, No 3 (2018)
Publisher : Universitas Mercu Buana

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Abstract

This research was conducted on Diesel engine single cylinder which aims to study the dynamic characteristics of Diesel engine type HATZ 1D 80 made in Germany. The test was performed by measuring the Frequency Response Function (FRF). In this study, the vibration response was measured at three points: point A which was situated below the engine shaft and in line with the stinger. Point A indicated the FRF point. Point B was located in the valve train component, while point C was situated above the cap of the valve train component. The range of frequencies applied was 0 - 3200 Hz, 3200 - 6400 Hz, 6400 - 9600 Hz, and 9600 - 11200 Hz. This research indicates that the natural frequencies arose because of the global vibration mode. The global vibration mode occurred at natural frequencies of 3118, 4805, 4821, 5021, 7129, 8601, and 11107 Hz. While other natural frequencies were associated with the local vibration mode because it appears only at one point of measurement.

DESIGN OF 28 GHZ MICROSTRIP MIMO ANTENNAS FOR FUTURE 5G APPLICATIONS

Rahayu, Yusnita, Afif, Luthfi, Radhelan, Muhammad Rizki, Yasri, I., Candra, Feri

SINERGI Vol 22, No 3 (2018)
Publisher : Universitas Mercu Buana

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Abstract

The 5G system requires more significant system capacity, more full bandwidth, and higher frequency. One type of antenna that can be used to increase the channel capacity is microstrip MIMO antenna. The Federal Communications Commission of the U.S. has recently designated the frequency band from 27.5 to 28.35 GHz for 5G applications. In this paper, the design of 28 GHz microstrip MIMO antenna for future 5G applications was proposed. The antenna was designed by using RT Duroid 5880 substrate with a dielectric constant of 2.2 and the loss tangent of 0.0009. The antenna operated from 27.10 GHz to 28.88 GHz with 1.78 GHz (6.35%) of bandwidth. The antenna consisted of four elements feeding by a microstrip line. Based on the simulated results, the high gain of 14.8 dBi is obtained with a linear directional pattern. Comparison performance regarding gain, return loss, VSWR and bandwidth are also presented for single, two and four elements.  It is shown that the increasing number of elements of antenna increased the gain and the return loss. The antenna meets the 5G requirements.

THE COMPOSITION OF BIOCOMPOSITE [POLYMETHYLMETHACRYLATE/HYDROXYAPATITE] AS MATERIAL FOR SPECIMEN WITH PORTABEE KIT MACHINE

Sekarjati, Kartinasari Ayuhikmatin, Tontowi, Alva Edy

SINERGI Vol 22, No 3 (2018)
Publisher : Universitas Mercu Buana

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Abstract

The development of science and technology related to bone implant material, researchers want to develop materials that have properties near human bones and improve the quality. This study was conducted to determine the composition of the mixture that can pass nozzle at room temperature. It is expected that in this study, the mixture is able to pass through the small nozzle size so that it can print specimens precisely according to the size of the design to be printed. Output mixture through a nozzle is said well if the output is continuous and homogeneous. The quality of the composition of the mixture, the material output from the nozzle will be printed by ASTM F451-95 and compressive test. This mixture consists of polymethylmethacrylate (PMMA), methylmethacrylate (MMA) and hydroxyapatite (HA) by mixing methods manually. PMMA and MMA used in the type of heat curing, while HA derived from fish scales. Through several experiments, there is composition that can pass nozzle and have a high compressive strength value, that is composition PMMA : MMA instead of 1 : 1 (w/w) with mixture 20% HA and have compressive strength value 31,20 MPa, the second composition PMMA : MMA instead of 2 : 1 (w/v) with mixture 10% HA and have compressive strength value 25,62 MPa. This composition was chosen for further research with the Portabee Kit machine.

OPTIMIZATION OF PROCESS PARAMETERS ON TENSILE SHEAR LOAD OF FRICTION STIR SPOT WELDED ALUMINUM ALLOY (AA5052-H112)

Armansyah, Armansyah, Chie, Ho Hwi

SINERGI Vol 22, No 3 (2018)
Publisher : Universitas Mercu Buana

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Abstract

Optimization of the process was still the issue in manufacturing. Investigation on the process parameters that effects to the property of welded structure were necessary. In this study, the AA5052-H32 sheets of 2 mm thick were welded using friction stir spot welding (FSSW) and tested via tensile shear load test to investigate the influence of spindle speed, tool depth, and dwell time to the tensile shear load of the joints. The result shows that in every set of parameter combination, exhibit interesting influence to the tensile shear load. The effect of spindle speed of 1000 rpm shown the good property in average 18.33 KN especially at tool depth of 3.5 mm. Furthermore, the effect of tool depth brought significant effect to the tensile shear load especially at 3.5 mm for each set of spindle speed and dwell time. The set of dwell time to parameter combination had no significant effect to the tensile shear load. The good tensile shear load could be achieved in the range of 17.7-19.3 KN at 3.5 mm of plunge depth and 1000 rpm of spindle speed, where the best one was 19.3 KN at 7s of dwell time.

MONITORING OF ELECTRICAL SYSTEM USING INTERNET OF THINGS WITH SMART CURRENT ELECTRIC SENSORS

Ibnu Hajar, Muhammad Hafizd, Dani, Akhmad Wahyu, Miharno, Satriyo

SINERGI Vol 22, No 3 (2018)
Publisher : Universitas Mercu Buana

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Abstract

Electricity is one of the most important human needs. In the presence of electricity it can facilitate human work. But it should be noted that too large and uncontrolled electricity use will be wasteful and get high costs. The problem is that electricity is not monitored accurately, easily and efficiently. This study aims to design an electric current monitoring device with an IoT system. IoT is a concept with the ability to transfer data by network, no need humans to humans or humans to PCs. In this concept, the SCT 013-000 electric current sensor is connected to the load, it will be show electric current value in the LCD, if the electric current which is determined exceeds the capacity, Wemos D1 including Wifi ESP 8266 will be sending a notification to the telegram. The system has been implemented with ironing load for 3.29%, the dispenser load is 0.20% and Magicoms get load for 1.07%. The delay time also has been implemented in the relay for 1.50 second when relay is on and 0.78 second when relay is off. When the notification send to the telegram also have a delay for 6.2 second. So, monitoring of electrical system using internet of things with smart current electric sensors has been done.

OPTIMIZATION RAINFALL-RUNOFF MODELING FOR CIUJUNG RIVER USING BACK PROPAGATION METHOD

Sebayang, Ika Sari Damayanthi, Suroso, Agus, Laoli, Alnis Gustin

SINERGI Vol 22, No 3 (2018)
Publisher : Universitas Mercu Buana

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Abstract

The rainfall-runoff model is required to ascertain the relationship between rainfall and runoff. Hydrologists are often confronted with problems of prediction and estimation of runoff using the rainfall date. In actual fact the relationship of rainfall-runoff is known to be highly non-linear and complex. The spatial and temporal precipitation patterns and the variability of watershed characteristics create a more complex hydrologic phenomenon. Runoff is part of the rain water that enters and flows and enters the river body. Rainfall-runoff modeling in this study using Artificial Neural Network, back propagation method and sigmoid binary activation function. This model is used to simulate single or long-term continuous events, water volume, making it very appropriate for urban areas. Back propagation is an inherited learning algorithm and is commonly used by perceptron with multiple layers to change the weights associated with neurons in the hidden layer. Back propagation algorithm uses output error to change the values of its weight in the backward direction. The location of the review is the Ciujung River Basin (DAS), the data used are rainfall and debit data of Ciujung River from 2011-2017. Based on training and simulation results, obtained R2 value: 2012 = 0,85102; 2013 = 0,78661; 2014 = 0,81188; 2015 = 0,77902; 2016 = 0,7279. on model 2 = 0,8724. On model 3 R2:  January = 0,96937; February = 0,92984; March = 0,90666; April = 0,92566; May = 0,9128; June = 0,87975; July= 0,85292; August = 0,95943; September = 0,88229; October = 0,90537; November = 0,93522; December = 0,9111. with MSE (Mean Squared Error) of 0,0018479. The closer value of MSE to 0 and the value of R2 close to 1 then the better designed artificial neural network. If the data used for training more, the artificial neural network will produce a larger R2 value.

TUNING FOR POWER SYSTEM STABILIZER USING DISTRIBUTED TIME-DELAY NEURAL NETWORK

Aribowo, Widi

SINERGI Vol 22, No 3 (2018)
Publisher : Universitas Mercu Buana

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Abstract

In this paper, a Distributed Time-Delay Neural Network (DTDNN) algorithm is used to control the Power System Stabilizer (PSS) parameters to find the reliable conditions. The proposed DTDNN algorithm apply tapped delay line memory to set the PSS. In this study, DTDNN consists of a DTDNN-identifier and a DTDNN-controller. The performance of the system with DTDNN-PSS controller is compared with a Recurrent Neural Network PSS (RNN-PSS) and Conventional PSS (C-PSS). The results show the effectiveness of DTDNN-PSS design, and superior robust performance for enhancement power system stability compared to other with different cases.