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Andi Adriansyah
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sinergi@mercubuana.ac.id
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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 16 Documents
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Search results for , issue "Vol 27, No 2 (2023)" : 16 Documents clear
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.
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.

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