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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 15 Documents
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Search results for , issue "Vol 27, No 1 (2023)" : 15 Documents clear
Determinant factors in increasing the livability of the city of Padang from the perspective of transportation Yosritzal Yosritzal; Rizki Aziz; Melinda Noer; Dita Oktaviani Putri; Abdullah Sani
SINERGI Vol 27, No 1 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.1.009

Abstract

Padang has been determined to be a livable city in 2024, according to the Mission of the City Major 2019-2024. Some improvements have been made, such as more BRT corridors, widening the sidewalk, and adding benches along the sidewalks. However, achieving a livable city is far more than just those thingies; we also need to know what people need and what the government is willing to do. This study explores the determinant factors in achieving the livable city criterion for Padang, especially regarding transportation-related variables in the expert views along and public and government interests. The quadrant analysis of Expectation-Performance and Effort-Effect Analysis was used to identify the determinant and priority factors in improving the livability of Padang. The results show that improving some essential elements has satisfied public expectations. Still, more things need to do, such as an integrated transportation system, comfortable public transportation, transportation for disabled persons, and a more environmentally friendly transportation mode. With less effort and high effect, the most priority factors are comfortable and secure pedestrian facilities, improving traffic to reduce travel time, and improving public transport facilities.
Development of nominal rules on the Fuzzy Sugeno method to determine the quality of power transformer insulation oil using Dissolved Gas Analysis data Ha'imza Ha'imza; Amirullah Amirullah; Boonyang Plangklang
SINERGI Vol 27, No 1 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.1.005

Abstract

This paper aims to develop the nominal rules on the Fuzzy Logic Method using the Sugeno-Fuzzy Inference System (FIS) for Dissolved Gas Analysis (DGA) and determine the quality of the power Transformer 1 and Transformer 6 insulating oil at the Buduran 150 kV substation. The nominal number of proposed fuzzy rules is 1920 rules. Implementing the Fuzzy-Sugeno method on Transformers 1 and 6 shows that the six input variables from the DGA test can produce a Total Dissolved Combustible Gas (TDCG) output value of 32.67 and 26.19 ppm, respectively. Both values indicate that the insulating oil of Transformers 1 and 6 are in condition one and, at the same time, indicates that the dissolved gas composition is in Normal status. Furthermore, the TDCG value, condition, and quality status of the insulating oil have the same or 100 % accuracy compared to the DGA test by PLN (UPT Surabaya). Thus, the nominal development of fuzzy rules using the Fuzzy-Sugeno method can perform DGA analysis more accurately to determine the quality of power transformer insulation oil compared to previous studies.
Dual-band frequency reconfigurable 5G microstrip antenna Yusnita Rahayu; Yoga Bayu Pradana; Yoshihide Yamada
SINERGI Vol 27, No 1 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.1.010

Abstract

Microstrip Antenna is widely developed and used in modern telecommunications equipment because of its advantages. Microstrip antenna is also used in 5G development which is expected to increase communication capacity and also be able to provide very large data rates. The frequency used in 5G is 28, 38, and 78 GHz. However, the 5G network with high frequency has a weakness: transmitted waves are vulnerable to weather because of their dense waveform. Therefore, the multiband is used to support different frequencies in one antenna. Furthermore, antenna reconfiguration is used to set the antenna to work on a different frequency and adjust different radiation patterns depending on the needs without changing the form of the antenna. This paper proposes the dual-band frequency reconfigurable antenna with RT Duroid 5880 as its substrate using PIN diodes placed between the main patch and secondary patch element and simulated on CST software for 28 GHz and 38 GHz with two conditions, ON and OFF. Both simulated and measured results show that the antenna can work well as intended. During the OFF condition, the antenna only works at 38 GHz, while in the ON condition, the antenna works at 28 GHz and 38 GHz, respectively.
High-temperature failure of steel boiler tube secondary superheater in a power plant Sulthoni Akbar; Desrilia Nursyifaulkhair; Leanddas Nurdiwijayanto; Alfian Noviyanto; Nurul Taufiqu Rochman
SINERGI Vol 27, No 1 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.1.001

Abstract

This work investigated the failure analysis of the boiler tube secondary superheats in a power plant utility. The tube was composed of low carbon steel with 2.25Cr-1Mo addition, which was ruptured after a 26 h working test. The investigation of the tube’s failure was performed through several analysis, such as microstructure, elemental analysis, and mechanical test. It was found the abrupt increase in the operating temperature as the primary factor of the material degradation of the tube. The microstructure analysis shows the existence of elongated grain with the formation of microcracks on the grain boundaries, indicating the exceeded stress applied in the material. The hoop stress in the ruptured tube was 42.47 MPa, which is higher than the allowable stress of 23.5 MPa at 605 °C. Furthermore, the equiaxed grain was observed in the unruptured tube, implying the microstructural change after exposure at high temperatures.
Implementation consensus algorithm and leader-follower of multi-robot system formation Noval Lilansa; Muhammad Nursyam Rizal; Pipit Anggraeni; Nur Jamiludin Ramadhan
SINERGI Vol 27, No 1 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.1.006

Abstract

Robot technology has recently been applied to many applications to help human activities. Mobile Robot is one of the most flexible robot technology. This research uses a mobile robot designed using an omnidirectional wheel for the movement mechanism. Coordination and control of multi-robots can be assigned to perform any task from a different kind of field. Therefore, this paper aims to develop a multi-robot system to form a formation to do the task. The multi-robot system consists of three units Mobile Robot. The formation system will be built based on a coordinate point determined by a consensus point. The leader-follower topology is used to determine the orientation of the robot. ROS (Robot Operating System) is used as middleware to create a multi-robot system. The Open Base package in Gazebo Simulator is also used to simulate the movement of the multi-robot. From three test scenarios, this research results show that all the robots can do and follow the tasks simulated in the Gazebo with an average accuracy of 88.14%. Furthermore, no feedback from the robot to the Gazebo Simulator affects the robot's accuracy average below 90%. 
Implementing Technology Acceptance Model to measure ICT usage by smallholder farmers Satya Arisena Hendrawan; Agus Trihandoyo; Dana Santoso Saroso
SINERGI Vol 27, No 1 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.1.014

Abstract

In the era of industry 4.0, especially in the agricultural sector, using ICT as a communication and information-gathering medium for farmers is crucial. However, the ICT adoption level by smallholder farmers varies greatly. This study investigates the elements influencing the ICT adoption level and utilization and explores the application of the TAM to smallholder farmers. Using descriptive quantitative methodology on three villages in Ngawi regency, East Java (N=53), this study indicated that smartphone usage in the research location was extremely high at 90.5%. A Spearman correlation value of 0.24 indicates a relationship between the PU and the education level of farmers. T-Test Two Means Independent was used to compare respondents' perception of ICT utilization through Perceived Use (PU) and Perceived Ease of Use (PEU); PU's average value of 17.5 was greater than PEU's average value of 13.9. It was determined that ICT perceived usefulness was felt more important than perceived ease of use by the respondents in their daily activities. Additionally, this study recommends that agriculture services development necessitates strategies to create ICT usefulness through smartphones. Such strategies will help increase the ICT effective adoption, reducing information gaps and raising the wealth of smallholder farmers.
The performance optimization of concrete bricks using a sagu fiber Muhammad Zakaria Umar; Abdul Fattaah Mustafa
SINERGI Vol 27, No 1 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.1.002

Abstract

Sagu (sinonggi/kapurung) is a typical food of the Tolaki ethnic group. Sagu (Metroxylon sagu rottb) is an endemic plant in Southeast Sulawesi Province. So far, sagu waste in the form of fibers (sagu fiber) has not been optimally utilized. Sagu fiber waste is only left to mount; some are dumped into the river, so it is feared that it could pollute the environment. Through innovation in reducing waste in the principles of sustainable construction, sagu fiber will be used as an added material to manufacture concrete brick wall pairs. This study aimed to test the compressive strength and water absorption capacity of sagu fiber concrete bricks with variations of 0%, 50%, 60%, and 70% sagu fiber under the sand. This study uses an experimental method with stages such as preparing work tools and work materials, making test objects, and testing. Data were analyzed using mathematical formulas for the compressive strength of concrete bricks and water absorption capacity, compared with SNI 3-0349-1989 for solid concrete bricks, and analyzed comparatively. Based on the test results in this research laboratory, it is concluded that a balanced composition to get good quality is found in 70% sagu fiber and 30% sand.
Technological capabilities assessment by using Technometrics models in routine maintenance of commuter trains to increase service performance Franka Hendra Sukma; Estiningsih Tri Handayani; Supriyono Supriyono
SINERGI Vol 27, No 1 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.1.007

Abstract

Based on data on routine maintenance records for Indonesian Commuter Trains from 2015 - 2017, it is known that the number of realized train availability levels is still below the company’s standards and targets. In addition, there is a potential risk of a backlog or train queues that are not handled properly in overhaul maintenance which is increasing yearly. The main objective of this research is to measure the technological capability of the routine maintenance of the Indonesian Commuter Train which is located at Dipo Depok. The method used in this paper is the Technometrics model approach which will produce a Technology Contribution Coefficient (TCC) value. The method describes the level of technology applied by routine maintenance of TCC obtained by identifying and assessing the technological components of Technoware (tool facilities), Humanware (HR), Infoware (information), and Orgaware (organization) involved in the routine maintenance operation process of commuter trains by measuring the Degree of Sophistication, State of the Art (SOTA) and Contribution Assessment, as well as the intensity of the contribution of technology components using an Analytical Hierarchy Process (AHP). The results of this study identified 11 operating processes in maintenance activities. The SOTA values are T = 0.3857, H = 0.7750, I = 0.7111 and O = 0.633, with the contribution value being 0.4190, 0.6059, 0.5667 and 0.5862, and the contribution intensity is 0.301, 0.438, 0.132 and 0.030. Therefore, the TCC value for routine maintenance of Indonesian Commuter Trains with a value of 0.5 (TCC 0.3 ≤ TCC≤ 0.5) is categorized as low. With these results, the priority order of technology component development is humanware, technology, orgaware and infoware.
Finite Element Analysis on ballistic impact performance of multi-layered bulletproof vest impacted by 9 mm bullet Azhari Sastranegara; Kevin Eka Putra; Edmun Halawa; Nanang Ali Sutisna; Ameen Topa
SINERGI Vol 27, No 1 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.1.003

Abstract

Simulation is one of the most effective ways to reduce the cost and time needed to test the quality of a bulletproof vest. The widely applied method to predict the behavior of the materials is a macro-homogeneous model. However, even though it is low in computational cost, it has some accuracy issues. This work presents finite element analysis with both macro-homogeneous and meso-heterogeneous models to predict the behavior of the Kevlar composites during ballistic impact and qualitatively compares the simulation results with the experimental ones. The simulation reliability was ensured by numerical parameters such as the system energy balance and the limitation of artificial energy. The simulation results showed that the meso-heterogeneous yarn model successfully produced more detailed impact damage than the macro-homogenous model. In addition, the deformation of the Kevlar, the bullet, and the steel plate was close to the experiment results. The result was expected to be used as a consideration in determining the model type for another similar research.
A fault diagnosis system for CNC hydraulic machines: a conceptual framework Fajar Anzari; Winnie Septiani; Dedy Sugiarto; Martino Luis
SINERGI Vol 27, No 1 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.1.008

Abstract

The fault diagnosis process in Computer Numerical Control (CNC) hydraulic machines for steel processing relies on skills, experiences, and maintenance technicians' understanding of the machine. The problem is many junior maintenance technicians are inexperienced and unskilled. This paper proposes a conceptual framework for a fault diagnosis system for the CNC hydraulic machine to help a maintenance technician in a fault diagnosis process. The framework uses association rule mining to discover hidden association patterns between fault symptoms and causes from historical machine fault data. The framework has consisted of data standardization, knowledge acquisition, and a model of the fault diagnosis system. The data standardization aims to make the data ready to be mined by assigning a fault tag for each record of historical fault data. The tagged repair records are used to produce symptoms–cause associative knowledge. The produced knowledge is refined by corrective actions acquired from expert knowledge. The knowledge is then stored in the fault knowledge database in the form of IF-THEN rules. The reasoning machine is developed to map the fault symptoms as IF and the causes as THEN. Production operators can fill in the fault symptoms by choosing the standardized fault symptom tag. When a maintenance technician reviews a fault report, the system, through a reasoning machine, will access the appropriate IF-THEN rules based on the fault symptoms that the production operator has filled in. The system concludes the fault cause and recommends suitable corrective action.

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