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INDONESIA
Journal of Telematics and Informatics
Published by IAES Indonesia Section and Partners
ISSN : -     EISSN : -     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Journal of Telematics and Informatics (e-ISSN: 2303-3703, p-ISSN: 2303-3711) is an interdisciplinary journal of original research and writing in the wide areas of telematics and informatics. The journal encompasses a variety of topics, including but not limited to: The technology of sending, receiving and storing information via telecommunication devices in conjunction with affecting control on remote objects; The integrated use of telecommunications and informatics; Global positioning system technology integrated with computers and mobile communications technology; The use of telematic systems within road vehicles, in which case the term vehicle telematics may be used; The structure, algorithms, behavior, and interactions of natural and artificial systems that store, process, access and communicate information; Develops its own conceptual and theoretical foundations and utilizes foundations developed in other fields; and The social, economic, political and cultural impacts and challenges of information technologies (advertising and the internet, alternative community networks, e-commerce, e-finance, e–governance, globalization and security, green computing, ICT for sustainable development, ICT in healthcare and education, management and policymaking, mobile and wireless communications, peer-to-peer learning, regulation of digital technologies, social networking, special user groups, the 2.0 paradigm, the WWW, etc). The journal is a collaborative venture between Universitas Islam Sultan Agung (UNISSULA), Universitas Ahmad Dahlan (UAD) and Institute of Advanced Engineering and Science (IAES) Indonesia Section.
Arjuna Subject : -
Articles 10 Documents
 1 
Search results for , issue "Vol 6, No 2: June 2018" : 10 Documents clear
Tuning PID on Cascade Control Level Deareator Steam Power Plant Bakhtiar Indra Kurniawan; Muhammad Haddin; Arief Marwanto
Journal of Telematics and Informatics Vol 6, No 2: June 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v6i1.

Abstract

Deaerator is an important component in the process of steam power plant, which serves to remove gases contained in boiler water. The level of the deaerator tank should be maintained in accordance with the specified set point. If the level is too low it will effect to disrupt the performance of the boiler feed pump. If  the level is too high it will lead to overflow and disrupt the steam production process. This study discusses the analysis of Proportional-Integral-Derivative (PID) cascade control using tuning Ziegler-Nichols (ZN) and Tyerus Luyben (TL) methods to control deaerator level. The tuning parameter in the primary loop and the secondary loop will be varied on the cascade loop control is used to analyze the performance of PID control. To perform verification system, such as Peak Time (Tp), Overshoot (Mp), Error Steady State (ESS) and Settling Time (Ts) a simulink Matlab is proposed. Four tuning PIDs on the cascade loop are: ZN-ZN, ZN-TL, TL-TL, TL-ZN get results that are able and get stability to follow the set point level. Tuning PID TL-TL method has the most ideal response result in use for deaerator level control at steam power plant because it has the lowest overshoot response of all three other cascade loop tuning methods. The transient response system has obtained values Tp=2,06 seconds, Mp=22,23%, Ess=0,7%, Ts=13,54 seconds.
Analysis of Bone Fracture Detection Based on Harris Corner Detector Method Bahrun Niam; Imam Much Ibnu Subroto; Sri Arttini Dwi Prasetyowati
Journal of Telematics and Informatics Vol 6, No 2: June 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v6i1.

Abstract

Bone is part of the human body to sustain other parts of the body. One of the bones is leg bone. Leg bones have often cracks or fractures caused by collision. Leg bone fractures can be identified by using x-ray manually. Eye train can cause less accurate in identifying the result of roentgen so that it needs a method to make radiologist easier in determining leg bone fractures. The recommended method in this research was Harris corner detector method. Before identified, the object was firstly in pre-processing such collecting data, grayscale and cropping image. The research result was Harris corner detector method could identify leg bone fractures with 70% accuracy. Bone is part of the human body to sustain other parts of the body. One of the bones is leg bone. Leg bones have often cracks or fractures caused by collision. Leg bone fractures can be identified by using x-ray manually. Eye train can cause less accurate in identifying the result of roentgen so that it needs a method to make radiologist easier in determining leg bone fractures. The recommended method in this research was Harris corner detector method. Before identified, the object was firstly in pre-processing such collecting data, grayscale and cropping image. The research result was Harris corner detector method could identify leg bone fractures with 70% accuracy.
Minimization of Real Power Loss and Augmentation of Static Voltage Stability Margin by Enhanced Algorithm Lenin Kanagasabai
Journal of Telematics and Informatics Vol 6, No 2: June 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v6i2.

Abstract

This paper presents a new Enhanced African Wild Dog Algorithm (EAWDA) for solving the multi-objective reactive power dispatch problem.Inspired by Basic African wild dog algorithm (AWDA), this paper progresses by adding rounding up behaviours of wild dog, The proposed (EAWDA) algorithm has been tested on standard IEEE 30 bus test system and simulation results shows clearly about the noble performance of the projected algorithm.
EMG Signal Recognition of Gait Pattern Using Back Propagation Neural Network for Stroke Disease Rehabilitation Diah Arie WK; Sri Arttini Dwi Prasetyowati; Arief Marwanto
Journal of Telematics and Informatics Vol 6, No 2: June 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v6i2.

Abstract

Electromyography (EMG) is the electrical activity obtained from muscles activity. Gait pattern of leg muscles will be measured and recognized by EMG signals. The EMG signal on the leg muscles is measured by six electrodes which are filtered with 0.33Hz high pass filter (HPF) and a low pass filter (LPF) for anti aliasing. Maximum frequency of EMG is 600 Hz, that sampled perfectly by Analog to Digital Converter (ADC) using 2 KHz. Artificial Neural Networks (ANN) algorithm is applied to obtain the accuracy and optimization of EMG signal. The performance of the results are investigates based on two type of human condition, first is healthy person and second is severe person. The combination of EMG measurements with ANN has gives better results compares than without an ANN model. The results showed that the measurement for healthy individuals during normal walking conditions was 4.56 volts with a frequency of 0,00582Hz; the measurement of stroke patients which walking at normal speed is 8.80 volts and the frequency is 1,231Hz. Therefore, proposed prototype that combined using ANN algorithm has increased capability of  measurement of EMG signal for normal and severe humans models. Keywords : EMG, ANN, Gait
Optimizing Group Discussion Generation Using K-Means Clustering And Fair Distribution Alfano Endra Wardhana; Imam Much Ibnu Subroto; Sri Arttini Dwi Prasetyowati
Journal of Telematics and Informatics Vol 6, No 2: June 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v6i2.

Abstract

The development of computer-based learning system today can provide a different learning process in a teaching and learning process, but the problems faced by a teacher is the difficulty in grouping discussion group that has a different value of knowledge and skills, because usually this selection of discussion groups in e-learning is done based on the wishes of each student or randomly regardless of the data of knowledge and skills. This research was conducted with the aim of grouping the discussion groups based on the indicators of knowledge and skill by using k-means clustering analysis at SMK Sore Tulungagung. The knowledge and skills scores of class X students in Pekerjaan Dasar Elektromekanik subjects, The Competence of Electricity Installation Engineering will be used as the basic scores. Then, the students of class X were divided into 2 groups, namely the k-means based group and the random based group for further research. The mean score of knowledge and skills are before the learning process and after the results of the evaluation of the discussion group on the k-means based and the random based group. The k-means based class score increases 4,083 from the average. Before the learning, it was 83.292 and it becomes 87.375 after the evaluation, while the random based class only experienced an increase 0,083 from the average. Before the learning it was 81,250 and it becomes 81,333 after the learning evaluation. Based on the result, grouping the discussion group in a fair way in e-learning on the indicators of knowledge and skills using k-means clustering method shows more visible improvement, so k-means clustering is a more optimal method.
Investigating the problems of Indonesian Sea Transportation for an Integrated Information System Siti Rohajawati
Journal of Telematics and Informatics Vol 6, No 2: June 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v6i2.

Abstract

The problems of Indonesian sea transportation are seriously need to reveal and solve. Eventhough, the government has a significant role managing the organisation at the executive, managerial, and operational level. They are needed performing of regulations, strategic policy, law arrangements, data and information management, company culture, business process supervision, and functional activities on-the-spot. This research used a system improvement objective that is causal effect analyses, system objectives, and constraints. The data are collected through document studies, interviews, meetings, and discussions. The confirmation and verifications of models were conducted using Focus Group Discussion. The results of analysis indicate that three main problems are structural organisation (executive, management, and operational level), regulations, and integrated of information system. Based on Critical Success Factors, the main barriers were regulations, policies, political will, bureaucracy, organisational governance, infrastructure, and an integrated system. Specifically, the model of value chain and an integrated of information system architecture are recommended.
Nawala Mangsa 2.0 – Weather Station with BLE Broadcaster Mochamad Mizanul Achlaq; Moh Noor Al-Azam; Aris Winaya; Maftuchah Maftuchah
Journal of Telematics and Informatics Vol 6, No 2: June 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v6i2.

Abstract

Nawala Mangsa is a weather station system owned by the Computer Science Faculty of Narotama University. The system has been installed in several locations and is used to monitor the temperature and relative humidity of the site for research purposes. All information from the remote, currently stored in the server online via an internet connection. In this latest version (ver-2.0), Nawala Mangsa had some updates, including the use of Raspberry Pi 3 boards, adding a sensor to measure sunlight illumination (TSL2561), and replacing temperature and humidity sensor with BME280 so it can also measure air pressure. The using of a board that equipped with Bluetooth version 4.1, which is Bluetooth Low Energy (BLE) ready, make this version of this Nawala Mangsa can also broadcast the data that are read by the sensor through BLE, in addition to sent to the server over the TCP/IP network. By this way, so the weather station data can be directly read by the mobile device that equipped with BLE observer.
XML Compression System on Smartcard Case Study of Medical Record Data Ahmad Habib; Muhamad Firdaus; Muhammad Syarifuddin
Journal of Telematics and Informatics Vol 6, No 2: June 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (250.116 KB) | DOI: 10.12928/jti.v6i2.

Abstract

In the medical service at the practice site as well as in the standard hospital, the physician keeps a record of the patient's information in a file known as the medical record. The drawback to this file is the availability of unreliable data. Where a patient's medical record should be searched one by one in a particular file. In this research, we will create a medical record application system with XML compression feature with tag method (firstchild,sibling)* data combined with Bzip2 method on ACOS smartcard storage media. The results obtained are, the ratio of file size written on smartcard media is smaller than the files that are not compressed. The average ratio ranges from 14.04% with sampling data from 500 - 31000 bytes. Average reading time is 5.71 seconds, and the writing process is about 11.69 seconds.
Neuron Model for Input Uncertainty Zulfian Azmi; Erna B N; Herman Mawengkang; M Zarlis
Journal of Telematics and Informatics Vol 6, No 2: June 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v6i2.

Abstract

The application of the Neuron Network model has not given optimal results on learning with input values ​​that are not binary, uncertain and varied. Variable inputs are not only 1 and 0 but allow between 0 and 1. and linguistic input and output and non-linear models. And the verification process for reviewing feasibility is reviewed from network, unit, behavior and procedural aspects. Further validation is done on the control module of the waterwheel rotation with dissolved oxygen input, water pH, salinity and water temperature varies. With such neuron models being the solution to varied and uncertain neuron models. The simulation is done withMatrix Laboratory software. Keywords: Neuron, Uncertainty, Waterwheel.
Analysis of Enterprise Resource Planning (ERP) Systems Implementation Marti Widya Sari; Banu Santoso; Adhi Wibowo
Journal of Telematics and Informatics Vol 6, No 2: June 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v6i2.

Abstract

This research discussed about ERP system success in its post-implementation, therefore, it can only be applied to organisations that have implemented an ERP system. To achieve the research objective, a rigorous strategy for searching the literature was developed. The current study selected supporting ERP references, including theories, research, frameworks, and other verified information resources. The target of population is the ERP end user, specifically, a user who works in a company that has implemented an ERP system.  The sample was composed of various industry types that have implemented ERP systems, and the count of respondents is 60. The result of this research shows the measurement of system quality, service quality, information quality, perceived usefulness, user satisfaction and benefit of ERP system.

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