cover
Contact Name
Andi Adriansyah
Contact Email
andi@mercubuana.ac.id
Phone
+628111884220
Journal Mail Official
sinergi@mercubuana.ac.id
Editorial Address
Fakultas Teknik Universitas Mercu Buana Jl. Raya Meruya Selatan, Kembangan, Jakarta 11650 Tlp./Fax: +62215871335
Location
Kota adm. jakarta barat,
Dki jakarta
INDONESIA
Sinergi
ISSN : 14102331     EISSN : 24601217     DOI : https://dx.doi.org/10.22441/sinergi
Core Subject : 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.
Articles 531 Documents
Analysis of the effect 3D printing parameters on tensile strength using Copper-PLA filament Mahros Darsin; Renald Rochman Mauludy; Intan Hardiatama; Boy Arief Fachri; Mochamad Edoward Ramadhan; Doddy Parningotan
SINERGI Vol 26, No 1 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.1.013

Abstract

This research aims to find the optimal combination of parameters to obtain the maximum tensile strength of 3D printing products made of eCopper, which consists of 45% Cu and 55% PLA. The parameters used were nozzle temperature, layer height, print speed and bed temperature with three levels each. The Taguchi L9 (3^4) experiment was used for design and analysis. The product was printed in the form of a tensile test specimen according to the ASTM D638 Type I standard using a Cartesian FDM 3D printer. The average response S/N ratio calculation found that the highest tensile strength would be obtained when applying combination parameters of nozzle temperature 230 oC, layer height 0.35 mm, print speed 90 mm/s and bed temperature 60 oC. While each parameter contributes to the tensile strength by the order are nozzle temperature, layer height, print speed, and bed temperature 59.44%, 20.53%, 18.06% and 1.97%, respectively.
Classification of motor imagery brain wave for bionic hand movement using multilayer perceptron Sapto Budi Priyatno; Teguh Prakoso; Munawar Agus Riyadi
SINERGI Vol 26, No 1 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.1.008

Abstract

Physical disability due to amputation can affect a person's quality of life due to limited movement in performing daily activities. Bionic hands are used to help someone with an amputation disability. This research developed a bionic hand control based on electroencephalography sensors capable of measuring the brain's bioelectric activity. The classified brain wave was then translated as activity pattern information. The alpha & beta waves were the focus of this work. This study demonstrated a method to extract and classify motor imagery of brainwave activity patterns. The Fast Fourier Transform (FFT) method extracts motor imagery characteristics. The extraction of features is then classified by the Multilayer Perceptron (MLP) method for five classes of bionic hand movement. Testing was conducted with two scenarios. The first test motor imagery without additional movement showed an accuracy of 77.20 %, while the second test motor imagery combined with head movement showed an accuracy of 84.40% for five classes. The system based on motor imagery has been implemented in a bionic hand that shows the applicability of the proposed method.
Computational investigation of various wedges electromagnetic wave absorbers on anechoic chambers Naufal Baihaqi Al Afkar
SINERGI Vol 26, No 1 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.1.012

Abstract

The anechoic chamber is closely related as a device for precisely measuring various acoustic characteristics. Anechoic chambers room conditions controlled to produce a sound field-free space. This study focused on testing various commercial wedges such as Eckel, diamond, pyramidal, and oblique pyramidal. The test was done by varying the elevation of an incident angle at 0°-85° with a stepping distance is 5°. This study is analyzed at 1-3 GHz frequency. This research was conducted based on a computational analysis using the finite element method on electromagnetic wave physics interfaces using COMSOL Multiphysics. The results show that, in general, pyramidal has the best performance. These results are assessed from the stability of absorption performance, the Eckel model obtains -66.6 dB at 1 GHz frequency but on another frequency tests with drastic performance fluctuations. In general, a pyramidal model can be an ideal absorber for anechoic applications because it provides good absorption performance for near normal and normal incidence angles. The results of the design and testing of the wedges model for anechoic are expected to be references in designing the optimal anechoic chamber room. Furthermore, it can contribute positively to tuning acoustic instruments such as microphones or reducing the antenna measurement error. 
Influential factors in the application of the Lean Six Sigma and time-cost trade-off method in the construction of the ammunition warehouse Albert Eddy Husin; Eko Arif Budianto
SINERGI Vol 26, No 1 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.1.011

Abstract

Construction projects have developed so rapidly, one of which is the construction of warehouses. The warehouse discussed in this study is an ammunition warehouse. The construction of the ammunition warehouse has a deadline in accordance with the contract agreed between the owner, contractor and consultant. But in the implementation in the field, there was a delay in the work of the concrete structure. This study aims to obtain the dominant factors causing delays in the ammunition warehouse project by applying the Lean Six Sigma method and time-cost trade-off in solving the problem. Data processing used statistical analysis SPSS (Statistical Package for the Social Sciences), which was obtained from questionnaires filled out by experts. From this processing, the highest ten factors were obtained, namely 1. Inadequate planning and scheduling, 2. Implementation of work plans, 3. Delay in drawing up and approval of drawings, 4. Cost reduction, 5. Relationship between management and labor, 6. Relationship design internal team, 7. Lack of skilled manpower, 8. Flexibility, 9. Errors during construction and 10. Inaccurate prediction of craftsman production levels. This research is useful and beneficial for readers and can be developed again.
Effects of 1-hexyl-1-methylimidazolium iodide ionic liquid to poly(vinyl alcohol)–based solid polymer electrolyte Christin Rina Ratri; Qolby Sabrina; Titik Lestariningsih; Salsabila Zakiyyah
SINERGI Vol 26, No 1 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.1.016

Abstract

A solid polymer electrolyte (SPE) membrane has been fabricated using poly (vinyl alcohol) (PVA) as polymer host dissolved in deionized (DI) water. Lithium bis(oxalato) borate (LiBOB) electrolyte salt and 1-hexyl 1-methylimidazolium iodide (HMII) are incorporated into the membrane to contribute free ions, enhancing ionic conductivity. SPE was produced using the solution cast technique on Petri dishes. Then these slurries were dried at room temperature. The final product is a self-standing opaque membrane with visually homogenous surfaces. Further observation using FE-SEM revealed magnified images of membrane surfaces and cross-sections. Molecule interaction and crystallinity were observed using FT-IR and XRD. Impedance measured using EIS was used to calculate ionic conductivity. It was found that ionic conductivity of pure PVA film was 3.9×10-7 S/cm while ionic conductivity of SPE before and after ionic liquid addition was 4.77×10-7 S/cm and 2.66×10-6 S/cm.
Optimal design of energy storage for load frequency control in micro hydro power plant using Bat Algorithm Muhammad Ruswandi Djalal; Nasrun Kadir
SINERGI Vol 26, No 1 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.1.002

Abstract

The rotational speed of a generator affects the frequency and voltage produced, where this change will affect the load side. For that we need a control equipment that can optimize the performance of micro-hydro. Therefore, we need a technology to optimize the performance of micro hydro by applying Load Frequency Control (LFC). LFC designed by implementing Superconducting Magnetic Energy Storage (SMES) and Capacitive Energy Storage (CES), this application will provide power compensation to reduce or even eliminate frequency oscillations caused by changes in consumer electrical power loads. To get optimal microhydro performance, it is necessary to set the right parameters for SMES and CES. SMES and CES parameter tuning in this study is proposed using the Bat Algorithm. The objective function used by this algorithm is to optimize the Integral Time Absolute Error (ITAE). For performance analysis, the system is tested with load changes, then the governor, turbine, and system frequency responses are analyzed. To test the reliability of the system, this study used several scenarios of a combination of control, SMES, CES, with conventional control based on Proportional, Integral, Derivative (PID). The right control parameters will improve system performance more optimally. Optimal system performance can be seen from the response of the governor, turbine, and minimum overshoot of the frequency, as well as the fast settling time for the system to switch to steady state conditions.
Application of the detailed balance model to thermoradiative cells based on a p-type two-dimensional indium selenide semiconductor Muhammad Yusrul Hanna; Ahmad Ridwan Tresna Nugraha; Muhammad Aziz Majidi
SINERGI Vol 26, No 1 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.1.015

Abstract

Thermoradiative (TR) cells are energy conversion devices that convert low-temperature waste heat to electricity. TR cells work on the same principles as photovoltaics, but they produce a reverse bias voltage due to higher cell temperature than the environment temperature. Depending on the energy gap of the material, temperature difference would generate electrical energy by electron-hole pair recombination. In this work, we propose a two-dimensional (2D) InSe for applications in the TR cells. The electronic properties of 2D InSe are obtained by using first-principles calculations. Then, the calculated energy gap is used to estimate output power density and efficiency according to the Shockley-Queisser framework through a detailed balance model adapted with the TR cells. Using a heat source at  = 1000 K and the ambient temperature = 300 K, an ideal TR cell of 2D InSe at the maximum power point can achieve output power density and efficiency up to 0.061 W/m2 and 4.41%, respectively, with an energy gap of 1.43 eV. However, sub-bandgap and non-radiative losses will degenerate the cell's performance significantly.
The impact of 3D, 4D, and 5D Building Information Modeling for reducing claims to service providers Shanti Astri Noviani; Mawardi Amin; Sarwono Hardjomuljadi
SINERGI Vol 26, No 1 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.1.007

Abstract

In construction, claims are usually a request for additional time, cost, or quality of work. A dispute will occur If the claim is not resolved correctly. In industrial revolution 4.0, we can use the Building Information Modeling (BIM) method to increase efficiency. BIM is a digital display containing all information about building elements integrated with the building's life cycle period. BIM will accelerate and reduce risks in construction, including the impact of claims. In Indonesia, several consultants/contractors have been implemented BIM in construction projects. This research aims to determine the effect of using 3D, 4D, and 5D BIM in construction projects for reducing claims to service providers as seen from the indicators on BIM 3D, 4D, 5D BIM. The research method used is a descriptive research method with a Q-method approach using closed survey research instruments to 37 contractor/consultant respondents who use BIM. The results obtained from the 3D BIM 4 indicators affect the reduction of claims. The 4D BIM indicator has two hands that affect the decrease in claims. The 5D BIM indicators all involve reducing claims.
Optimization of aggregate planning of rice husk charcoal production with Fuzzy Goal Programming approach Erni Krisnaningsih; Taufik Djatna; Yandra Arkeman; Marimin Marimin; Erliza Hambali
SINERGI Vol 26, No 1 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.1.009

Abstract

This study proposes a Fuzzy Goal Programming approach to optimize the problem of aggregate planning of production processes in companies that produce charcoal husks. The application proposed to the company describes the process of Rice Husk Charcoal Production taking into account the uncertain factors involved in the aggregate planning process of Rice Husk charcoal production. Decision-making related to the level of material needs in each type of rice husk charcoal product is considered based on planning for the next 12 months by including weighting value in membership function, determination of membership function of each function objectives with equivalent Crip of fuzzy goal programming. Fuzzification is based on three main objectives with three membership levels for each purpose of Goal Programming. This research provides the results of the proposed adaptive model applied to companies that produce charcoal husks.
Evaluating the effect of using shredded waste tire in the asphalt concrete-binder coarse on Marshall parameters Elsa Eka Putri; Yosritzal Yosritzal; Akhyarul-An Agusyaini; Wiwik Budiawan
SINERGI Vol 26, No 1 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.1.014

Abstract

Shredded Waste Tires are industrial materials that can be used in the asphalt mixture. The use of tires increases every day, considering the number of vehicles that grow from year to year. Using used tires is highly recommended for efforts to reduce waste that will harm the environment. The research aims to see the effect of adding shredded tires in a pavement mixture based on Marshall Value. The AC-BC pavement layer is not directly in contact with wheel load. Still, it must have sufficient thickness and stiffness to minimise stress or strain from traffic loads continuously transferred from the top of the pavement. The most important characteristic of the AC-BC is its stability. The optimum asphalt content value in the AC-BC mixture is 6.81%, mixed with various shredded waste tires. The Asphalt Concrete-Binder Course blended with 1.5%, 3.5%, 5.5% and 7.5% of the various shredded waste tire. The optimum shredded tire content was obtained at 3.5%, with the stability value increased by 2.1% from 1581.98 to 1614.88 kg, with a flow value of 5.43 mm, and a Marshall Quotient value of 297.4 kg/mm.