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Andi Adriansyah
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Fakultas Teknik Universitas Mercu Buana Jl. Raya Meruya Selatan, Kembangan, Jakarta 11650 Tlp./Fax: +62215871335
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INDONESIA
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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PROPOSE SAFETY ENGINEERING CONCEPT SPEED LIMITER AND FATIGUE CONTROL USING SLIFA FOR TRUCK AND BUS Pranoto, Hadi; Adriansyah, Andi; Feriyanto, Dafit; Wahab, Abdi; Zakaria, Supaat
SINERGI Vol 24, No 3 (2020)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2020.3.009

Abstract

In 2015, there were 55 deaths from 6,231 accident cases that occurred in Jakarta. A severe problem in Indonesia is the absence of a unique safety device in both commercial transport or personal vehicles and the very high complexity problem of human highways. Consequently, there are many traffic accidents caused by the negligence of the driver, such as driving a vehicle in a drunken, tired, drowsy, or over-limit speed. Therefore, it needs to be innovative using devices to increase speed but able to detect the level of tired or sleepy drivers. This paper tries to propose a concept of improving safety engineering by developing devices that can control the speed and level of safety of trucks and buses, named SLIFA. The proposed device captures the driver's condition by looking at the eyes, size of mouth evaporating, and heart rate conditions.  Theses condition will be measured with a particular scale to determine the fatigue level of the driver. Some performance tests have been carried out on truck and bus with 122 Nm and 112 Nm torque wheels and 339 HP and 329 HP power values, respectively, and the minimum speed is 62 km/h. At a top speed of 70 km / h, the torque and power of the truck are 135Nm and 370HP, with average fuel consumption of 3.43 liters/km before SLIFA installation and average fuel consumption of 4.2 liters/km after SLIFA installation. SLIFA can be said to have functional eligibility and can cut fuel consumption by 81 percent.
SENSOR SELECTION COMPARISON BETWEEN FUZZY TOPSIS ALGORITHM AND SIMPLE ADDITIVE WEIGHTING ALGORITHM IN AUTOMATIC INFUSE MONITORING SYSTEM APPLICATION Setiyo Budiyanto; Galang Persada Nurani Hakim; Ahmad Firdausi; Fajar Rahayu I. M
SINERGI Vol 24, No 3 (2020)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2020.3.005

Abstract

One of the critical equipment to support a patient in the hospital would be an infuse system. One of the main problems with the infuse system was manual monitoring. Few researchers try to build a low cost infuse system using a low-cost sensor and microcontroller. This paper proposes a fuzzy Topsis algorithm and Simple Additive Weighting (SAW) algorithm to choose the best sensor for a low cost to the infuse system, which is one of the Multiple Criteria Decision Making (MCDM) problems. Several simulations using three sensors, such as LDR (photoresistor), phototransistor, and photodiode, are performed. By using these two algorithms, it can be shown that the phototransistor emerges as the best sensor with value 1, even though it has the price six times higher from the LDR sensor and three times higher from the photodiode.
SENSOR SELECTION COMPARISON BETWEEN FUZZY TOPSIS ALGORITHM AND SIMPLE ADDITIVE WEIGHTING ALGORITHM IN AUTOMATIC INFUSE MONITORING SYSTEM APPLICATION Budiyanto, Setiyo; Hakim, Galang Persada Nurani; Firdausi, Ahmad; I. M, Fajar Rahayu
SINERGI Vol 24, No 3 (2020)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2020.3.005

Abstract

One of the critical equipment to support a patient in the hospital would be an infuse system. One of the main problems with the infuse system was manual monitoring. Few researchers try to build a low cost infuse system using a low-cost sensor and microcontroller. This paper proposes a fuzzy Topsis algorithm and Simple Additive Weighting (SAW) algorithm to choose the best sensor for a low cost to the infuse system, which is one of the Multiple Criteria Decision Making (MCDM) problems. Several simulations using three sensors, such as LDR (photoresistor), phototransistor, and photodiode, are performed. By using these two algorithms, it can be shown that the phototransistor emerges as the best sensor with value 1, even though it has the price six times higher from the LDR sensor and three times higher from the photodiode.
HOUSE'S SOLAR CHIMNEY A NUMERICAL ANALYSIS ON THE THERMAL PERFORMANCE IN JAKARTA Abraham Seno Bachrun; Christy Vidiyanti; Lokman Hakim Ismail; Izudinshah Abd. Wahab
SINERGI Vol 24, No 3 (2020)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2020.3.010

Abstract

The abundance of solar light in tropical countries is the advantage of the utilization of solar energy. Increasingly expensive electricity forces buildings to use passive ventilation as building coolers. One of them is the use of the stack effect through the solar chimney. The absence of residential buildings that use the solar chimney as part of a passive ventilation system makes the need for prototypes for residential buildings. The application of solar chimney to homes in Jakarta is something new. Six types of the solar chimney have been tested on a prototype, one-story residential houses in Jakarta. The location was assumed to be in the densely populated area of South Jakarta. Wind velocity ambient data using Rubber locations. Using Ansys 16.0, simulations have been carried out, and solar chimney with double-full roof collector was able to induce a wind velocity of 0.41 m/s on average
HOUSE'S SOLAR CHIMNEY A NUMERICAL ANALYSIS ON THE THERMAL PERFORMANCE IN JAKARTA Bachrun, Abraham Seno; Vidiyanti, Christy; Ismail, Lokman Hakim; Abd. Wahab, Izudinshah
SINERGI Vol 24, No 3 (2020)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2020.3.010

Abstract

The abundance of solar light in tropical countries is the advantage of the utilization of solar energy. Increasingly expensive electricity forces buildings to use passive ventilation as building coolers. One of them is the use of the stack effect through the solar chimney. The absence of residential buildings that use the solar chimney as part of a passive ventilation system makes the need for prototypes for residential buildings. The application of solar chimney to homes in Jakarta is something new. Six types of the solar chimney have been tested on a prototype, one-story residential houses in Jakarta. The location was assumed to be in the densely populated area of South Jakarta. Wind velocity ambient data using Rubber locations. Using Ansys 16.0, simulations have been carried out, and solar chimney with double-full roof collector was able to induce a wind velocity of 0.41 m/s on average
DESIGN OF ANTI-SLIP SHOES FOR 12 TON PALM OIL TRUCK WHEELS Dani Tri Wahyudi; Deni Shidqi Khaerudini
SINERGI Vol 24, No 3 (2020)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2020.3.006

Abstract

The rainy season will have a severe problem to the transportation sector (including heavy-duty trucks) in the off-road area in Indonesia, especially in areas that do not have permanent access roads (asphalt or concrete roads). For heavy vehicles, especially oil palm transport trucks will experience such obstacles, including slippage when crossing muddy dirt roads, and it will have an impact on the logistics delivery process. Therefore, it is necessary to design a support system, especially on the wheels, to reduce the risk of skidding or rolling on truck-type vehicles. In this work, the design of the anti-slip shoe wheels of the colt diesel double type truck (CDD) is used on the rear-wheel-drive as a tool for handling the slippage. In this design, the maximum traction factor of the wheels based on the calculation on the rolling resistance should be higher than 594 kg. The next step is to determine the value of soil cohesion and soil internal friction angle obtained from the previous studies. In this study, a calculation simulation was carried out to accomplish the design of the main components of the anti-slip of a truck wheel in the form of a traction rod fin. The design is namely U channel profile steel based on SNI 07-0052-2006 type U50, U65, and U80 with dimensions of the fin depth (z) are 3.8 cm, 4.2 cm, and 4.5 cm and length of 30 cm. The results show that the three types of U channel iron used for the anti-slip shoes are useful for freeing trucks from slippage with a total load of 12 tons. Thus, the truck will be safe when crossing the muddy roads with clay, muddy clay, and sandy loam under the following conditions: minimum cohesion number of 0.008 kg/cm2, minimum internal friction angle in the soil of 4.631°, and the maximum water content of 59.6%.
DESIGN OF ANTI-SLIP SHOES FOR 12 TON PALM OIL TRUCK WHEELS Wahyudi, Dani Tri; Khaerudini, Deni Shidqi
SINERGI Vol 24, No 3 (2020)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2020.3.006

Abstract

The rainy season will have a severe problem to the transportation sector (including heavy-duty trucks) in the off-road area in Indonesia, especially in areas that do not have permanent access roads (asphalt or concrete roads). For heavy vehicles, especially oil palm transport trucks will experience such obstacles, including slippage when crossing muddy dirt roads, and it will have an impact on the logistics delivery process. Therefore, it is necessary to design a support system, especially on the wheels, to reduce the risk of skidding or rolling on truck-type vehicles. In this work, the design of the anti-slip shoe wheels of the colt diesel double type truck (CDD) is used on the rear-wheel-drive as a tool for handling the slippage. In this design, the maximum traction factor of the wheels based on the calculation on the rolling resistance should be higher than 594 kg. The next step is to determine the value of soil cohesion and soil internal friction angle obtained from the previous studies. In this study, a calculation simulation was carried out to accomplish the design of the main components of the anti-slip of a truck wheel in the form of a traction rod fin. The design is namely U channel profile steel based on SNI 07-0052-2006 type U50, U65, and U80 with dimensions of the fin depth (z) are 3.8 cm, 4.2 cm, and 4.5 cm and length of 30 cm. The results show that the three types of U channel iron used for the anti-slip shoes are useful for freeing trucks from slippage with a total load of 12 tons. Thus, the truck will be safe when crossing the muddy roads with clay, muddy clay, and sandy loam under the following conditions: minimum cohesion number of 0.008 kg/cm2, minimum internal friction angle in the soil of 4.631°, and the maximum water content of 59.6%.
HOAX DETECTION IN INDONESIA LANGUAGE USING LONG SHORT-TERM MEMORY MODEL Andi Apriliyanto; Retno Kusumaningrum
SINERGI Vol 24, No 3 (2020)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2020.3.003

Abstract

Nowadays, the internet and social media grow fast. This condition has positive and negative effects on society. They become media to communicate and share information without limitation. However, many people use that easiness to broadcast news or information which do not accurate with the facts and gather people's opinions to get benefits or we called a hoax. Therefore, we need to develop a system that can detect hoax. This research uses the neural network method with Long Short-Term Memory (LSTM) model. The process of the LSTM model to identify hoax has several steps, including dataset collection, pre-processing data, word embedding using pre-trained Word2Vec, built the LSTM model. Detection model performance measurement using precision, recall, and f1-measure matrix. This research results the highest average score of precision is 0.819, recall is 0.809, and f1-measure is 0.807.  These results obtained from the combination of the following parameters, i.e., Skip-gram Word2Vec Model Architecture, Hierarchical Softmax, 100 as vector dimension, max pooling, 0.5 as dropout value, and 0.001 of learning rate.
HOAX DETECTION IN INDONESIA LANGUAGE USING LONG SHORT-TERM MEMORY MODEL Apriliyanto, Andi; Kusumaningrum, Retno
SINERGI Vol 24, No 3 (2020)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2020.3.003

Abstract

Nowadays, the internet and social media grow fast. This condition has positive and negative effects on society. They become media to communicate and share information without limitation. However, many people use that easiness to broadcast news or information which do not accurate with the facts and gather people's opinions to get benefits or we called a hoax. Therefore, we need to develop a system that can detect hoax. This research uses the neural network method with Long Short-Term Memory (LSTM) model. The process of the LSTM model to identify hoax has several steps, including dataset collection, pre-processing data, word embedding using pre-trained Word2Vec, built the LSTM model. Detection model performance measurement using precision, recall, and f1-measure matrix. This research results the highest average score of precision is 0.819, recall is 0.809, and f1-measure is 0.807.  These results obtained from the combination of the following parameters, i.e., Skip-gram Word2Vec Model Architecture, Hierarchical Softmax, 100 as vector dimension, max pooling, 0.5 as dropout value, and 0.001 of learning rate.
EFFECT OF CUTTING SPEED IN THE TURNING PROCESS OF AISI 1045 STEEL ON CUTTING FORCE AND BUILT-UP EDGE (BUE) CHARACTERISTICS OF CARBIDE CUTTING TOOL Sobron Yamin Lubis; Sofyan Djamil; Yehezkiel Kurniawan Zebua
SINERGI Vol 24, No 3 (2020)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2020.3.001

Abstract

In the machining of metal cutting, cutting tools are the main things that must be considered. Using improper cutting parameters can cause damage to the cutting tool. The damage is Built-Up Edge (BUE). The situation is undesirable in the metal cutting process because it can interfere with machining, and the surface roughness value of the workpiece becomes higher. This study aimed to determine the effect of cutting speed on BUE that occurred and the cutting strength caused. Five cutting speed variants are used. Observation of the BUE process is done visually, whereas to determine the size of BUE using a digital microscope. If a cutting tool occurs BUE, then the cutting process is stopped, and measurements are made. This study uses variations in cutting speed consisting of cutting speed 141, 142, 148, 157, 163, and 169 m/min, and depth of cut 0.4 mm. From the results of the study were obtained that the biggest feeding force is at cutting speed 141 m/min at 347 N, and the largest cutting force value is 239 N with the dimension of BUE length: 1.56 mm, width: 1.35 mm, high: 0.56mm.

Page 23 of 54 | Total Record : 531

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