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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 531 Documents
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Development of a smart system for gasoline car emissions diagnosis using Bayesian Network Dedik Romahadi; Wiwit Suprihatiningsih; Yudha Aji Pramono; Hui Xiong
SINERGI Vol 27, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.2.009

Abstract

A vehicle exhaust emissions test is an activity carried out to determine the content of the remaining combustion products that occur in the fuel in the vehicle engine. Many people do not understand exhaust gas content from emission tests, so to make this easier, this study aims to create a smart application that can diagnose vehicle emissions quickly and accurately using the Bayesian Network (BN) algorithm. Application development begins with BN modeling using the MSBNx application until the appropriate results are achieved. Validation of the BN structure that has been designed with various inputs is carried out to ensure that the BN modeling is correct. The next step is to compile the BN modeling algorithm in the MATLAB application so that it becomes a system that can process input in the form of measurement results for Toyota car emissions. The new BN model for vehicle emission gas diagnosis has been successfully constructed. The results of the system reading when there is an HC content of 217 ppm, the probability value of bad emissions increases to 63.5%. Of the 10 tests performed, the system was able to diagnose them all correctly.
Modeling and implementing a load management system for a solar home system based on Fuzzy Logic Makmur Saini; Muhammad Ruswandi Djalal; Muhammad Azhar; Golda Evangelista Patrix
SINERGI Vol 27, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.2.014

Abstract

Solar Home System is one of the technologies for utilizing solar power at home. To optimize the performance of PLTS, it is necessary to regulate the use of electrical energy. In this research, an effort is made to control the load using fuzzy logic to regulate the power consumption used by the load so that energy can be utilized effectively. The fuzzy logic method works based on the input given so that the desired results can be as expected. To test the effectiveness of the fuzzy logic method, this study was tested with two types of loads: lighting and fan loads. For lighting loads, it uses two light sensor inputs, and for air conditioning, it uses two temperature sensor inputs and a PIR sensor. The test results show that in the experiment of setting the light load using fuzzy logic, the average power usage at the load is 11.31 watts. In contrast, without fuzzy logic, the average power usage value for the load is 14.29 watts. In the fan load control experiment using fuzzy logic, the energy consumption setting was obtained according to the room temperature input and the number of people in the room. The test results received power usage without using fuzzy logic, where the average fan power usage value is 4.32 Watts, while without fuzzy logic, the average power usage value is 2.97 Watts. For one sensor input, the average power usage value of the average fan is 3.02 Watts; without fuzzy logic, the average power usage value is 2.93 Watts for two sensor inputs. 
Selection lead logistics provider in consumer goods using AHP – TOPSIS approach Kuwat Suroto; Hasbullah Hasbullah
SINERGI Vol 27, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.2.006

Abstract

Vendor selection is a strategic activity in order to support the achievement of the company`s success and competitiveness. Significantly, the company has some specific standards in the selection. Therefore, evaluation is needed to see which vendors match the company's criteria. The purpose of this study was to evaluate and select the proposed vendor in a decision support system using the AHP and TOPSIS approaches. The AHP method is used to determine the importance of the criteria, while the TOPSIS method is used to rank alternatives. The results show that Provider 1 has the highest score compared to other alternatives with a value of 0.852. Sensitivity analysis shows that the proposed AHP and TOPSIS methods are robust, suitable for this problem, and have a low rate of change.
The model selection of propeller turbine construction using Analytical Hierarchy Process (AHP) Dedi Wardianto; Mafrizal Mafrizal; Sufiyanto Sufiyanto; Rudi Kurniawan Arief; Herry Agung Prabowo; Irfan Hilmy
SINERGI Vol 27, No 3 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.3.007

Abstract

This study aimed to develop an innovative propeller turbine design to facilitate easy manufacturing and maintenance processes, leading to a reduction in costs. Furthermore, the Analytical Hierarchy Process (AHP) method was employed to identify the most optimal model and design for the propeller turbine. Problem-solving within the AHP framework was guided by three fundamental principles, namely decomposition, Comparative Judgment, and Logical Consistency. The procedure included problem decomposition, assessment/ weighting to compare elements, matrix preparation and consistency testing, setting priorities for each hierarchy, priority synthesis, and decision-making. To establish a benchmark, three types of propeller turbines currently available in the market served as references. Meanwhile, the selection criteria for the model were based on several factors, including power factor, time efficiency, ease of manufacture, as well as production and maintenance costs. Considering the criteria, modifications were made to these reference models, resulting in the development of alternatives, denoted as A, B, and C. The results showed that alternative type A as the most suitable choice for further development. Therefore, this particular design was granted foremost priority to develop a low-head generator that possessed ease of manufacturing and surpassed alternative models in terms of feasibility. 
Fabrication of mercury (Hg) sensor based on Tire Waste (TW) carbon electrode and voltammetry technique Baihaqi Baihaqi; Khairi Suhud; Sagir Alva; Eka Safitri; Julinawati Julinawati; Binawati Ginting; Syafrizal Fonna; Ahmad Kamal Arifin; Zulnazri Zulnazri; Nurul Islami
SINERGI Vol 27, No 3 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.3.012

Abstract

Voltammetry is widely used to detect heavy metals such as mercury (Hg). The sensor material influences the results of the voltammetry method. Carbon-based sensors are commonly developed because of their wide potential range, low background current, inexpensive, inert, and suitable for various sensors. Recently, Tire Waste (TW) was chosen as a carbon source for the manufacture of electrodes because it is rich in carbon (88%). The material is easy to obtain, green technology and a carbon source that has not been properly utilized. Separation of carbon material from TW using the pyrolysis method produces 4.32 gr (2.6%) of soot (from 200 gr TW) as a material for making carbon-based Hg sensors. The XRD pattern of TW soot has amorphous phases. SEM topography shows that the surface of TW soot consists of particles that are almost uniform in shape. The estimated particle size is about 0.25 µm. The sensor was made with a mixture of TW soot and paraffin with a 2:1 ratio. Testing the specific value of sensor capacitance using the Cyclic Voltammetry (CV) method showed the presence of cathodic and anodic currents. The Hg deposit occurred at a peak cathodic current at a scan rate of 20 mV/s. The Limit of Detection (LoD) value is 0.0681 ppm and the Limit of Quantitation (LoQ) is 0.229 ppm. Measurement of Hg in natural water samples used river water from the Aceh Jaya sub-district at two points representing the upstream and downstream of the river. The Hg concentrations obtained were 0.000536 ppm and 0.00182 ppm, respectively and were compared with the inspection results using Atomic Absorbance Spectroscopy (AAS), 0.00058 ppm and 0.00186 ppm, respectively. The t-test results of the two Hg measurement methods at a significance level (α) of 5% obtained tcount > ttable (0.0208 <2.306), indicating that there is a significant difference between the two Hg concentration measurement methods for natural water.
Performance analysis of a single-cylinder type steam turbine with a capacity of 3.5 mw using enthalpy drop method Bagus Adi Saputra; Nurato Nurato
SINERGI Vol 27, No 3 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.3.003

Abstract

The performance capability of the steam turbine under factory conditions will experience changes that can be caused by operating or environmental factors. Therefore, it is necessary to analyze the performance of the steam turbine during the actual condition so that it can be compared with the performance of the steam turbine from the manufacturer using mass and energy balance equations on HP heater #1 and deaerators and iteration methods. The research was conducted by looking at the phenomena that occur in the steam turbine using mathematical models and theories when the unit operates according to the heat balance design parameters. Feedwater flow from the calculation of the iteration method based on the equation of the water heater obtained a value of 17,961.58 kg/h. The performance steam turbine experienced a decrease in efficiency with a value for isentropic efficiency of 72.73% down 6.54% from the design value of 79.27% and thermal efficiency of 26.88% down 1.75% from the design value of 28.64%. Meanwhile, the steam rate value of 5.03 kg/kWh increased by 0.44 kg/kWh from the design value of 4.59 kg/kWh, and the turbine heat rate of 3198.83 kcal/kWh, an increase of 196.08 kcal/kWh from the design value of 3002.75 kcal/kWh. 
Study of design criteria for the Ayung River estuary area as an urban riverfront park in Denpasar City, Bali I Made Agus Dharmadiatmika; Kadek Edi Saputra; Naniek Kohdrata; Hinako Yamagami
SINERGI Vol 27, No 3 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.3.008

Abstract

Public green open space management currently tends to be in strategic areas in Denpasar City, such as the Sanur coastal area, city center, and city roads. This centralization will, in time, create a feeling of saturation and require a new atmosphere and unequal development. One of the efforts is to explore the potential of vacant land in coastal areas that have yet to be touched by development, one of which is the estuary of the Ayung River. The community currently uses the edge of the estuary of the Ayung River for recreational activities. The first step is to have a design that supports this function, especially since this area has ecological benefits for the city. The research objectives can accommodate the community's needs, managers, regional potential, and sustainable landscape design approaches. The analysis technique used is descriptive analysis technique using walkability analysis and triangulation approaches. The results of the study integrate the theory of sustainable coastal area landscape design by producing design criteria, namely: Socio-cultural function design criteria with the principle approach of environmental community involvement, Economic function design criteria with the application of the economic tenets involving Small and Medium Enterprises (SMEs), Environmental function criteria with the principles of waste management, linkage criteria with an energy efficiency function approach, and aesthetic function design criteria with a safe and comfortable material principle approach.
Using Particle Swarm Optimization for Power System Stabilizer and energy storage in the SMIB system under load shedding conditions Mansur Mansur; Muhammad Ruswandi Djalal
SINERGI Vol 27, No 3 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.3.013

Abstract

Generator instability, which manifests as oscillations in frequency and rotor angle, is brought on by sudden disruptions in the power supply. Power System Stabilizer (PSS) and Energy Storage are additional controllers that enhance generator stability. Energy storage types include superconducting magnetic (SMES) and capacitive (CES) storage. If the correct settings are employed, PSS, SMES, and CES coordination can boost system performance. It is necessary to use accurate and effective PSS, SMES, and CES tuning techniques. Artificial intelligence techniques can replace traditional trial-and-error tuning techniques and assist in adjusting controller parameters. According to this study, the PSS, SMES, and CES parameters can be optimized using a method based on particle swarm optimization (PSO). Based on the investigation's findings, PSO executes quick and accurate calculations in the fifth iteration with a fitness function value of 0.007813. The PSO aims to reduce the integral time absolute error (ITAE). With the addition of a load-shedding instance, the case study utilized the Single Machine Infinite Bus (SMIB) technology. The frequency response and rotor angle of the SMIB system are shown via time domain simulation. The analysis's findings demonstrate that the controller combination can offer stability, reducing overshoot oscillations and enabling quick settling times. 
Mini air conditioning design with two levels of thermoelectric cooler module: cooling heat pipe Irwin Bizzy; Darmawi Darmawi; Agung Mataram; Fadhil Fuad Rachman
SINERGI Vol 27, No 3 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.3.004

Abstract

As the tropical country, the use of air conditioning (AC) in Indonesia is still high. This will affect energy consumption and global warming issue. This study aims to make solution of the AC issue with a design of the mini-AC using thermoelectrical cooler (TEC) technology and determine the output temperature result of the design, then to find out the coefficient of performance (COP) of the TEC cooler. The mini-AC design or method uses two TEC with additional heat sink, heat pipe, and fan to help release temperature to environment. The temperature measuring uses an 11-point thermocouple with real-time data collection using BTM-4208sd logger. The results of the study concluded that the mini-AC could work well even though one of the TECs was below its best performance. The use of heat pipes can help reduce heat quickly from TEC heat side. The best COP of TEC with ideal heat reduction is 0.69 from the upper position (72 W), and the highest at lower position (48 W) with 2.19.
Proposed model and strategy for Indonesian higher education facing technological disruption and Industrial Revolution 4.0 using Newton's Laws analogy Erkata Yandri; Sparisoma Viridi; Rizal F. Hariadi
SINERGI Vol 27, No 3 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.3.009

Abstract

All economic sectors in the world cannot be separated from the challenges of facing an era of technological disruption and the Industrial Revolution 4.0 (TD4IR). As centers of higher education, campuses also cannot escape from this difficult situation. Many studies have discussed the impact of TD4IR on higher education, unfortunately, without a detailed strategy for dealing with it. The global issues were analyzed using a physical approach, such as Newton's laws. Our study's purpose is to evaluate a strategic principle that Indonesian colleges can use to prepare for TD4IR. We applied Newton's analogy system to strategic management, then modeled with the derivation of the formula, followed by modeling with the simulation, to determine the changes that higher education would need to make in response to Industrial Revolution 4.0. Acceleration and deceleration scenarios are implemented with a square or cube increase or reduction. From the modeling, the parameters of Newton's laws, such as mass, friction (barriers to change), force (internal assets as a driving force), etc., must be properly matched to the idea of strategic management of higher education to give a clear picture of the problems. From the simulation, higher education needs to know the minimum value of its organizational system so it can figure out what needs to be done right away. The organization doesn't suddenly slow down or stop; higher education needs to speed up as much as possible.

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