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EMITTER International Journal of Engineering Technology
ISSN : 2355391x     EISSN : -     DOI : -
Core Subject : Science,
EMITTER International Journal of Engineering Technology is a BI-ANNUAL journal published by Politeknik Elektronika Negeri Surabaya (PENS). It aims to encourage initiatives, to share new ideas, and to publish high-quality articles in the field of engineering technology and available to everybody at no cost. It stimulates researchers to explore their ideas and enhance their innovations in the scientific publication on engineering technology. EMITTER International Journal of Engineering Technology primarily focuses on analyzing, applying, implementing and improving existing and emerging technologies and is aimed to the application of engineering principles and the implementation of technological advances for the benefit of humanity.
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Articles 14 Documents
Search results for , issue "Vol 6 No 2 (2018)" : 14 Documents clear
Simulation of Water Allocation Optimization Problem Rudy Agustriyanto
EMITTER International Journal of Engineering Technology Vol 6 No 2 (2018)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (231.878 KB) | DOI: 10.24003/emitter.v6i2.244

Abstract

Pollution prevention is primarily stimulated by economics, legislation, liability concerns, and the enhanced environmental benefit of managing waste at source. Chemical process industries consume a huge amount of water. Consequently, wastewater streams from such industries which contain various contaminants may create environmental problem. The increasing cost of fresh water supply and wastewater treatment has encouraged process industries to minimize fresh water consumption and waste water generation. This paper presents a formulation of water allocation problem (WAP) in order to minimize fresh water consumption in multi contaminant mass exchanger network. The approach is based on mass balance equation within the system being studied. The problem were then solved by using Matlab Optimization Toolbox.
Trusted Data Transmission Using Data Scrambling Security Method with Asymmetric Key Algorithm for Synchronization Nihayatus Sa'adah; I Gede Puja Astawa; Amang Sudarsono
EMITTER International Journal of Engineering Technology Vol 6 No 2 (2018)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (804.766 KB) | DOI: 10.24003/emitter.v6i2.267

Abstract

Security is a major concern of the internet world because the development of the Internet requires the security of data transmission. The security method helps us to store valuable information and send it over an insecure network so that it can not be read by anyone except the intended recipient. Security algorithm uses data randomization method. This method of data information randomization has a low computation time with a large number of bits when compared to other encryption algorithms. In general, the encryption algorithm is used to encrypt data information, but in this research the encryption algorithm is used for synchronization between the sender and the intended recipient. Number of bits on asymmetric key algorithm for synchronization are the 64-bits, 512-bits and 1024-bits. We will prove that security methods can secure data sent with low computational time with large number of bits. In the result will be shown the value of computing time with variable number of bits sent. When data are sent by 50 bytes, encryption time required 2 ms using 1024 bits for synchronization technique asymmetric key algorithm. 
Rule-based Sentiment Degree Measurement of Opinion Mining of Community Participatory in the Government of Surabaya Berlian Juliartha Martin Putra; Afrida Helen; Ali Ridho Barakbah
EMITTER International Journal of Engineering Technology Vol 6 No 2 (2018)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (423.153 KB) | DOI: 10.24003/emitter.v6i2.275

Abstract

Diskominfo Surabaya, as a government agency, received much community participatory for improvement of governmental services, with increasing number of 698, 2717, 4176 and 4298 participatory data respectively in 2011, 2012, 2013 and 2014. It is challenging for Diskominfo Surabaya to set a target by giving the response back within 24 hours. Due to task complexity to address the degree of participatory and to categorize the group of participatory, they faced difficulty to fulfill the target. In this research, we present a new system for measuring the sentiment degree of community participatory. We provide 5 functions in our system, which are: (1) Data Collection, (2) Data Preprocessing, (3) Text Mining, (4) Sentiment Analysis and (5) Validation. We propose our rule-based technique for the sentiment analysis of opinion mining with detection of 8 important parts, which are (1) Verb, (2) Adjective, (3) Preposition, (4) Noun, (5) Adverb, (6) Symbol, (7) Phrase, and (8) Complimentary. For applicability of our proposed system, we made a series of experiment with 410 data of community participatory in Twitter for Diskominfo Surabaya and compared with other sentiment classification algorithms which are SVM and Naive Bayes Classifier. Our system performed 77.32% rate of accuracy and outperformed to other comparing algorithms.
Adaptive Modulation and Coding (AMC) around Building Environment for MS Communication at The Train Andrita Ceriana Eska
EMITTER International Journal of Engineering Technology Vol 6 No 2 (2018)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (502.415 KB) | DOI: 10.24003/emitter.v6i2.279

Abstract

This paper focused at communication systems when train moved. The communication propagation was influenced by building environment. The communication condition that used uplink direction. Mobile station was placed inside the train where moved with 500 km/hour velocity. The analysis was used consists of Doppler effect, atmospheric, and building environment. The variation communication frequency was used consists of 2.6 GHz, 5 GHz, and 10 GHz. Diffraction mechanism caused building was used single knife edge method. The result was showed SNR value from the communication frequency variation, distance comparison between LOS and NLOS, alteration adaptive modulation and coding (AMC), and coverage area percentage. Modulation and Coding Scheme (MCS) was used for AMC consists of QPSK, 16 QAM, and 64 QAM. Decreases of SNR value can be occured when communication distance for NLOS condition farther then LOS condition. That distance became increases because was obstructed with high building. Changeable of AMC value was caused propagation condition. The coverage area percentage when communication frequency that was used consists of 2.6 GHz, 5 GHz, and 10 GHz was obtained 88.4%, 88.4%, and 81.7%.
Classification Algorithms of Maternal Risk Detection For Preeclampsia With Hypertension During Pregnancy Using Particle Swarm Optimization Muhlis Tahir; Tessy Badriyah; Iwan Syarif
EMITTER International Journal of Engineering Technology Vol 6 No 2 (2018)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (565.13 KB) | DOI: 10.24003/emitter.v6i2.287

Abstract

Preeclampsia is a pregnancy abnormality that develops after 20 weeks of pregnancy characterized by hypertension and proteinuria.  The purpose of this research was to predict the risk of preeclampsia level in pregnant women during pregnancy process using Neural Network and Deep Learning algorithm, and compare the result of both algorithm. There are 17 parameters that taken from 1077 patient data in Haji General Hospital Surabaya and two hospitals in Makassar start on December 12th 2017 until February 12th 2018. We use particle swarm optimization (PSO) as the feature selection algorithm. This experiment shows that PSO can reduce the number of attributes from 17 to 7 attributes. Using LOO validation on the original data show that the result of Deep Learning has the accuracy of 95.12% and it give faster execution time by using the reduced dataset (eight-speed quicker than the original data performance). Beside that the accuracy of Deep Learning increased 0.56% become 95.68%. Generally, PSO gave the excellent result in the significantly lowering sum attribute as long as keep and improve method and precision although lowering computational period. Deep Learning enables end-to-end framework, and only need input and output without require for tweaking the attributes or features and does not require a long time and complex systems and understanding of the deep data on computing.
Analysis on Handwritten Document Text to Identify Human Personality Characteristics by Using Preprocessing and Feature Extraction Lukie Perdanasari; Riyanto Sigit; Achmad Basuki
EMITTER International Journal of Engineering Technology Vol 6 No 2 (2018)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (677.827 KB) | DOI: 10.24003/emitter.v6i2.289

Abstract

It is important that a company uses the right means to recruit employees with certain personal characteristics as needed. Nowadays, the techniques to respond to psychological tests on people’s characteristics have been widely understood by most job applicants, so that it is difficult to know their true personality. Graphology is a way to identify a person’s characteristics by analyzing the handwriting from the document text made by the applicant. The two types of text document of each applicant are obtained from people of different ages and different writing times. The methods of graphology used in this research for identifying the handwriting are preprocessing and feature extraction. The preprocessing method uses projection integrals, shear transformations, and template matching. While the feature extraction process applies 10 features, they are, margins, line spacing, space between words, size of writing, style, zone, direction of writing, slope of writing, width of writing and shape of the letter. The result of the experiment from five writers shows the accuracy of writing identification equals to 82%, while personality identification equals to 67,4%.
Performance and Economic Analysis of Multi-Rotor Wind Turbine Navjot Singh Sandhu; Saurabh Chanana
EMITTER International Journal of Engineering Technology Vol 6 No 2 (2018)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (710.509 KB) | DOI: 10.24003/emitter.v6i2.298

Abstract

Power production of a wind turbine is dependent upon its rotor size and at present wind turbines with large rotor diameter (>175 m) are available in the market. However major problems associated with such large size conventional turbines are their cost & noise pollution. Due to these reason researchers have diverted their attention towards lower sized equivalent multi-rotor wind turbines. These turbines are found to be cheaper and good performers. Keeping it in view, in this paper an effort has been made to compare the energy yield and economics of two types of wind turbines i.e. single rotor & multi rotor wind turbine. Power, energy and cost models as proposed are used to determine the annual energy yield and economics of multi-rotor turbines. Simulation results as presented in this paper justify the suitability of multi-rotor wind turbine in place of single rotor configuration. Such turbines deliver more energy yield with low installation cost in contrast to single rotor turbines.
Optimal Design and Cost Analysis of Hybrid Autonomous Distributed Generation System for a Critical Load Shereefdeen Oladapo Sanni; Abdulkadir AWAISU; Taiwo Samuel AJAYI
EMITTER International Journal of Engineering Technology Vol 6 No 2 (2018)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (432.266 KB) | DOI: 10.24003/emitter.v6i2.302

Abstract

One of the universal targets of the United Nations Sustainable Development Goals is affordable and clean energy. It is on this premise that this study presents the integration of PV-wind distributed generation system into an existing diesel generator powered water treatment plant in a suburban town of Wudil, Nigeria. Inadequate and epileptic supply from the grid caused the dependence of the plant on the generator. The optimal design was determined using the Hybrid Optimization of Multiple Energy Resources (HOMER) software developed by the National Renewable Energy Laboratory. Simulation results produce an optimal hybrid system which includes photovoltaic (PV) panels, wind turbines, converter, batteries and a generator with a cost of energy of $0.26 at a renewable fraction of 95%. An analysis also demonstrates that implementing this design will result in low and fairly constant fuel price in the lifecycle of the project. This will, in turn, support sustainable economic development of communities served by the water treatment plant.
Study on Thermoelectric Cooler Driven by Solar Energy in Medan City Tulus Burhanuddin Sitorus; Zulkifli Lubis; Farida Ariani; Ferry Sembiring
EMITTER International Journal of Engineering Technology Vol 6 No 2 (2018)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1352.369 KB) | DOI: 10.24003/emitter.v6i2.303

Abstract

The primary purpose of this study is to investigate the performance of thermoelectric cooler driven by solar energy in Medan city, Indonesia. This cooler able to use in a remote area where electricity is still not available. The cooler could be used to store beverage that must be stored at low temperatures to maintain the freshness such as drink cup. The solar thermoelectric cooler is based on the principles of a thermoelectric module or Peltier effect to create a hot side and a cold side. The cold side of the thermoelectric module is utilized for cooling purposes to the cooling space. The heat from the hot side of the module is rejected to ambient surroundings by using heat sinks and fans. The solar thermoelectric cooler was experimentally tested for the cooling purpose. Experimental results showed that the solar thermoelectric cooler could reduce the temperature of the drink cup from 26oC to 15oC in approximately 40 min. The maximum COP of the cooling system during the experiment was calculated and found to be about 0.356. The effect of weather conditions on the COP value was about 85.90%.
Real Performance Evaluation On MQTT and COAP Protocol in Ubiquitous Network Robot Platform (UNRPF) for Disaster Multi-robot Communication Muhammad Ikrar Yamin; Son Kuswadi; Sritrusta Sukaridhoto
EMITTER International Journal of Engineering Technology Vol 6 No 2 (2018)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (808.632 KB) | DOI: 10.24003/emitter.v6i2.305

Abstract

Disaster multi-robot has a significant role in a disaster area to do many tasks like detection of fire, search and rescue of victims, etc. It needs to build good communication between the operator and multi-robot and among multi-robot themselves to perform their tasks quickly and efficiently. This relates with the queue message protocol system. In this research, we implemented the queue message protocol on mesh topology and integrated it on the robot platform. Recently, development of IoT (Internet of Things) Technology causes development of communication protocol. MQTT and CoAP are among the communication protocols used for IoT needs.  Both  protocols performance were compared when  used and implemented into disaster multi-robot. We also integrated MQTT protocol and robot  platform python based (UNR-PF). The result shows that MQTT protocol is easier to be  implemented on to disaster multi-robot platform (UNR-PF) on mesh topology than CoAP, and that data transfer rate of MQTT protocol has data transfer rate higher than CoAP.

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