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Sinergi

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Published by Universitas Mercu Buana

ISSN : 14102331 EISSN : 24601217 DOI : https://dx.doi.org/10.22441/sinergi

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 10 Documents

Search results for , issue "Vol 24, No 2 (2020)" : 10 Documents clear

THE INVESTIGATION OF END MILL FEEDS ON CNC ROUTER MACHINE USING VIBRATION METHOD Agung Wahyudi Biantoro; Heru Maryanto; Arif Kusnan Hidayanto; Abdul Hamid
SINERGI Vol 24, No 2 (2020)
Publisher : Universitas Mercu Buana

Vibration on End Mill Feeds will occur due to friction between the workpiece and end mill. The friction which occurs will cause tool wear in the insert blade. At this point, the tool wear experienced by the end mill can be seen from the imperfect feed of the workpiece that is resulted. Therefore, it is necessary to find out a method that can quickly and accurately detect tool wear at the end mill. The one that was experimented in this study was the vibration method. The vibration response was measured at their x, y, and z axes with rotation speeds of 2500 rpm, 3500 rpm, and 4500 rpm. At the broken end mill, it was shown that frequencies resulted did not affect the rotation while in the standard end mill. The initial frequency was highly influenced by spindle rotations treated on it.

COMPUTATIONAL PREDICTION OF A PROPELLER PERFORMANCE IN OPEN WATER CONDITION Ahmad Fitriadhy; N. Amira Adam; CJ. Quah
SINERGI Vol 24, No 2 (2020)
Publisher : Universitas Mercu Buana

In presence of hydrodynamics phenomena occur surrounding propeller evidently affects on accuracy’s prediction of thrust, torque and its efficiency. To achieve the objective, a Computational Fluid Dynamics (CFD) simulations approach is then proposed to obtain a reliable prediction of the thrust (KT), torque (KQ) and efficiency (η) coefficients in open water condition. The effect of various blade numbers associated with constant propeller revolution (RPM=1320) and pitch ratio (P/D=1.0); are performed within the range of advance ratio from 0.1J1.0. The results revealed that the increase of blade number from Z=3 to 5 was proportional with the increase of thrust (KT) and torque (KQ) coefficients; meanwhile, it was reduced the maximum efficiency (η) that possibly lead to downgrade the propeller performance. It should be noted here, the propeller with three blade numbers (Z=3) provide the highest efficiency (η) up to 78.8% at J=0.9. These CFD simulation results are very useful as a preliminary study of propeller characteristics.

DESIGN OF OPTIMAL PID CONTROLLER FOR THREE PHASE INDUCTION MOTOR BASED ON ANT COLONY OPTIMIZATION Muhammad Ruswandi Djalal; Faisal Faisal
SINERGI Vol 24, No 2 (2020)
Publisher : Universitas Mercu Buana

Speed control of an induction motor is an important part of the operation of an induction motor. One method of regulating motor speed is the addition of a PID controller. PID parameters must be tuned properly to get the optimal speed. In this study, the PID controller tuning method uses an artificial intelligence method based on Ant Colony Optimization (ACO). ACO algorithm in an intelligent algorithm that is inspired by the behavior of ants looking for food sources in groups with traces of feromone left behind. In this study, food sources are represented as optimal parameters of PID. From the computational results obtained optimal parameters respectively, P (Proportional) 0.5359, I (Integral) 0.1173, D (Derivative) 0.0427. ACO computing found the optimal parameters in the 21st iteration with a minimum fitness function of 11.8914. Case studies are used with two variations of the speed of the induction motor input. With optimal tuning, the performance of the induction motor is increasing, marked by a minimum overshoot of 1.08 pu and a speed variation of both overshoots of 1,201 pu, whereas without control 1.49 pu and 1.28 pu, as well as with PID trial control of 1.22 pu and 1.23 pu respectively. The benefits of this research can be used as a reference for the operation of induction motors, by tuning the Ant Colony intelligent method for the PID controller in real-time with the addition of microcontroller components.

SENTIMENT ANALYSIS ON TWITTER BY USING MAXIMUM ENTROPY AND SUPPORT VECTOR MACHINE METHOD Mona Cindo; Dian Palupi Rini; Ermatita Ermatita
SINERGI Vol 24, No 2 (2020)
Publisher : Universitas Mercu Buana

With the advancement of social media and its growth, there is a lot of data that can be presented for research in social mining. Twitter is a microblogging that can be used. In this event, a lot of companies used the data on Twitter to analyze the satisfaction of their customer about product quality. On the other hand, a lot of users use social media to express their daily emotions. The case can be developed into a research study that can be used both to improve product quality, as well as to analyze the opinion on certain events. The research is often called sentiment analysis or opinion mining. While The previous research does a particularly useful feature for sentiment analysis, but it is still a lack of performance. Furthermore, they used Support Vector Machine as a classification method. On the other hand, most researchers found another classification method, which is considered more efficient such as Maximum Entropy. So, this research used two types of a dataset, the general opinion data, and the airline's opinion data. For feature extraction, we employ four feature extraction, such as pragmatic, lexical-grams, pos-grams, and sentiment lexical. For the classification, we use both of Support Vector Machine and Maximum Entropy to find the best result. In the end, the best result is performed by Maximum Entropy with 85,8% accuracy on general opinion data, and 92,6% accuracy on airlines opinion data.

DESIGN CONTROL AND MONITORING SYSTEM FOR BOILER WASTEWATER TREATMENT PROCESS USING PROGRAMMABLE LOGIC CONTROLLER AND HMI (HUMAN MACHINE INTERFACE) Syahril Ardi; Sirin Fairus; Sekar Sukmaningrum
SINERGI Vol 24, No 2 (2020)
Publisher : Universitas Mercu Buana

Wastewater Treatment Plant (WWTP) is one of the infrastructures and systems in the manufacturing industry. This system serves to treat wastewater coming from boiler machines, which are used to produce steam to support the tire and tube production process of manufacturing companies, which are the object of our research. Wastewater from this boiler machine is alkaline and contains solids that are harmful to the ecosystem and the environment, so it needs to be processed so that wastewater can be discharged into drains. The process is not by following the standards; it can affect the quality of the process water so that water that is discharged into drains or water bodies violates government regulations. In this case, the pH standard of water is in a neutral state whose values are between 6 and 9 and is clear in color. Therefore, we conducted research that is designing a system to control and monitor the process at the wastewater treatment plant automatically. The design of this control system is done by adding sensors and actuators that are connected to the modular PLC that is the control system. This system is also designed to be connected to a PC (Personal Computer) as a monitoring system so that the process can be monitored continuously. Display interface created using HMI (Human Machine Interface) software. This is because many features that allow for a more attractive appearance. With this system, it can be sure that the boiler wastewater treatment process is more consistent and efficient in maintaining pH standards, and the process is monitored in real-time.

GLOBAL STRUCTURAL ANALYSIS OF HIGH-RISE HOSPITAL BUILDING USING EARTHQUAKE RESISTANT DESIGN APPROACH Ayuddin Ayuddin
SINERGI Vol 24, No 2 (2020)
Publisher : Universitas Mercu Buana

Building designed has 1 to 8 floors with the quality of concrete f'c of 33.2 MPa, steel quality (fy) 400 MPa, and shear stress of 240 MPa. The building is analyzed by 3D structure modeling through ETABS Version 9.7 program by following all the rules and regulations applicable in Indonesia, such as the guidance of building structure and non-building, SNI 1726: 2012. This building design system is a high-rise building structure planned with a portal frame system with beams and columns as the main elements of structures made of conventional concrete. The beam carries the load transversely of its length and transfers the load to the vertical columns that accumulate it. The column accepts the load axially by the beam and transfers the load to the foundation. This building structure uses a special moment frame structure system (SRPMK) structure, considering that the hospital building is safe against earthquakes and complains about the strong column weak beam concept.

ENHANCING THE PERFORMANCE OF THE WALL-FOLLOWING ROBOT BASED ON FLC-GA Heru Suwoyo; Yingzhong Tian; Muhammad Hafizd Ibnu Hajar
SINERGI Vol 24, No 2 (2020)
Publisher : Universitas Mercu Buana

Determination of the improper speed of the wall-following robot will produce a wavy motion. This common problem can be solved by adding a Fuzzy Logic Controller (FLC) to the system. The usage of FLC is very influential on the performance of the wall-following robot. Accuracy in the determination of speed is largely based on the setting of the membership function that becomes the value of its input. So manual setting on membership function can still be enhanced by approaching the certain optimization method. This paper describes an optimization method based on Genetic Algorithm (GA). It is used to improving the ability of FLC to control the wall-following robot controlled by FLC. To provide clarity, the wall-following robot that controlled using an FLC with manual settings will be simulated and compared with the performance of wall-following robots controlled by a fuzzy logic controller optimized by a Genetic Algorithm (FLC-GA). According to comparative results, the proposed method has been showing effectiveness in terms of stability indicated by a small error.

CONDENSOR DESIGN ANALYSIS WITH KAYS AND LONDON SURFACE DIMENSIONS Dedik Romahadi; Nanang Ruhyat; L. B. Desti Dorion
SINERGI Vol 24, No 2 (2020)
Publisher : Universitas Mercu Buana

The use of condensers in air conditioning units is more common in large-capacity units than in ones with a smaller capacity. Air conditioning provides comfort and freshness to an air-conditioned room. It should be noted that each room has a different heat load, which affects the specifications of the condenser used. The accuracy with which appropriate condenser specifications are determined affects the performance of the air conditioner. Thus, considering how important condenser needs are, it is necessary to design condensers with optimal performance, which adhere to proven standards. To achieve this, the design of a condenser should be based on the results of the smallest condenser dimensions of three types of surfaces, as they are intended for a limited place. This condenser design uses the standard dimensions of the Kays and London charts. Data is collected by measuring the results of temperature and enthalpy of a refrigerant at desuperheating and condensation, inlet air temperature, outlet air temperature, refrigerant mass flow rate, and air mass flow rate. The results of the compact condenser design are based on existing data, which is obtained from the smallest design results. The result uses the type of Surface CF-8.72(c) with a heat transfer area of 0.259 m2, a total tube length of 9.5 m, crossing tube length 0.594 m and a pressure drop of 3778 Pascal (Pa) on the side of a tube. This design fulfills the stipulated requirements, as the pressure drop is less than the specified maximum limit in most units.

ERGONOMIC WORK SYSTEM DESIGN USING KANSEI ENGINEERING APPROACH Hari Purnomo; Vitri Lestari; Alex Kisanjani
SINERGI Vol 24, No 2 (2020)
Publisher : Universitas Mercu Buana

Work fatigue is a problem that most often arises in the workplace and can affect work productivity. That problem also occurs at PT ASA Yogyakarta, many workers who complain of aches in the upper muscles and waist at work. Based on this, the research aims to design an ergonomic work system on the sewing production floor of PT. ASA Yogyakarta. The design of the work system is done to fix the problems done by workers so that it is expected to increase productivity. The method used is Kansei Engineering. The results of this study indicate that the proposed work system design meets the desires of workers with Stuart-Maxwell values testing marginal homogeneity of Z> 0.05. Work system designs made include sewing chairs and tables adjusted in size to worker anthropometry, approved backrests on chairs, lighting lamps replaced with LED lights, plug lamps on sewing machines, and plug bulkheads as sound dampers.

IMPACT OF BIODIESEL AGROINDUSTRY ON THE ACHIEVEMENT OF NATIONAL ENERGY SECURITY Alfa Firdaus; Machfud Machfud; Ani Suryani; Noer Azam Achsani
SINERGI Vol 24, No 2 (2020)
Publisher : Universitas Mercu Buana

The National Energy General Plan (RUEN) has set 11.6 million kiloliters of biodiesel production target in 2025. The determination of biodiesel production targets in RUEN is part of the objectives mandated in the National Energy Policy (KEN), which is to achieve energy security and independence. Therefore, this study aims to analyze the impact of biodiesel agroindustry on the achievement of national energy security in 2025. The simulation conducted in this study uses Long-range Energy Alternatives Planning (LEAP) software, which based on the accounting model. The model has run on Business as Usual (BAU) scenario, using four dimensions and 12 indicators of energy security in the context of biodiesel agroindustry. Model simulation results show a decreasing energy security trend in the period of 2022-2025, while the biodiesel production target, which was set at RUEN, cannot be achieved in 2025. This is mainly related to availability and affordability, which experienced a decline in the period. Further research needs to be done on the strategy of developing biodiesel agroindustry by considering scenarios of increasing production capacity and productivity as well as its impact on national energy security.

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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

Abstract

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

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

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

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