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INDONESIA
Journal of Telematics and Informatics
ISSN : -     EISSN : -     DOI : -
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.
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Articles 128 Documents
VISUAL BASED HUMAN WEIGHT PREDICTION USING ARTIFICIAL NEURAL NETWORK Abdul Basit; Imam Much Ibnu Subroto; Sri Arttini Dwi Prasetyowati
Journal of Telematics and Informatics Vol 8, No 1: March 2020
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v8i1.

Abstract

Measuring instrument becomes very important to be able to know how much human weight is. Weight information is generally obtained from measurements by body scale. One of other methods to find out a person's weight is by image processing. This study aims to calculate body weight by image processing with the Artificial Neural Network algorithm using back propagation method to detect body weight. The results of testing, analysis, and system accuracy of 97% indicate that the method of calculating body weight is very possible through image processing with various provisions and restrictions.   Key words: Weight, Computer Vision, Artificial Neural Network
Improvement of Enhanced Image Using Mean and Standard Deviation Increment Method Based on Visual Representation Statistics Faruk Alfian
Journal of Telematics and Informatics Vol 8, No 1: March 2020
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v8i1.

Abstract

Processes of image quality enhancement often leave deficiencies in the image result. These deficiencies in the form of loss of local contrast and loss of detail in some parts of the image. These deficiencies resulted in some important information on the image become unreadable. The deficiency that caused from processes of image enhancement can be minimized by taking information back from the original image. Taking this information can be done by combining the original image with the image of the improvements. Before the fusion of image, the means of average value and standard deviation value from the result on image should be improved first enhancement, so that fusion of image can be maximum. From the tested of 500 (five hundred) images that consist of image lacks brightness, image lacks contrast, and image lacks brightness and contrast, there were 74 (seventy four) image that can not be full repaired by using the proposed method. But for the image of the other experiments, the proposed method could improve image deficiencies. In this success level from method which is proposed reaches 85 %. Key Word : image improvement, mean increament,  standard deviation increament. 
Analysis of Driver Position Control on Electronic Power Steering (EPS) Using PID Suprawikno Suprawikno; Muhammad Haddin; Arief Marwanto
Journal of Telematics and Informatics Vol 8, No 1: March 2020
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v8i1.

Abstract

Abstract This research present about a steering control system on a vehicle whicgh is called Electrical Power Steering (EPS) that aims to observe and compare the position of EPS system with and without using PID controller. The EPS system has a state space order by 6x6 with one of the motor outputs to be controlled by a Proportional-Integral-Derivative (PID) controller and uses the MATLAB application as a simulation of the EPS system. The simulation is carried out in two stages, namely the simulation of an EPS system without controlling and simulating an EPS system using a PID controller. The results show ,that the position controller on EPS with the PID control method reaches the desired position with the parameter value Kp = 500, Ki = 500 and Kd = 200 while the input step is 1. The system output response has an overshoot value closes to 0, a rise time of 0.005 seconds. More over, EPS system which unutilized controllers, the output responseis can not reached the reference value. Keywords—Electric Power Steering (EPS), Proportional-Integral-Derivatif (PID), Simulation.
Portable Baby Incubator Based On Fuzzy Logic Qory Hidayati; Nur Yanti; Nurwahidah Jamal; Mey Adisaputra
Journal of Telematics and Informatics Vol 8, No 1: March 2020
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v8i1.

Abstract

The Global Action Report on Preterm Birth (2012) The United Nations Agency says, 15 million babies are born prematurely every year worldwide. Among them, more than one million babies die from complications due to premature birth. In 2010, Indonesia ranked fifth in the world with the highest number of premature babies in the world. The high birth rate for premature babies and the limited ability of parents to access health facilities to care for premature babies. The baby incubator serves to maintain a stable internal temperature and humidity so that it can help babies born prematurely to survive. This study aims to design and implement portable baby incubator control using fuzzy logic which consists of two fuzzy modules: based on Temperature and humidity. This baby incubator control uses fuzzy logic designed so that the system can display information on the baby's incubator temperature and humidity conditions, the baby's weight and the baby's heart rate without opening the incubator. The temperature in the system to be designed ranges between 36 ℃ -37 ℃, and the humidity is between 40% RH-60% RH. This incubator has a measurement and regulation system using temperature and humidity, namely the DHT22 sensor, the AC Dimmer Module to control PWM (Pulse Width Modulation), the acuator in the form of AC 220V incandescent lamps with a power of 60W and Arduino uno as a controlling microcontroller and an artificial fuzzy logic system Sugeno control method with a setting point value of 37 ℃ to maintain the stability of the temperature in the incubator in accordance with what is needed by premature babies. With the setting point at 37 ℃ the temperature in the baby incubator will survive in the range 37 ℃ -38 ℃.
PROTOTYPE OF LPG GAS LEAKAGE DETECTOR SYSTEM BASED ON FUZZY LOGIC I Nyoman Gede Muliawan
Journal of Telematics and Informatics Vol 7, No 4: DECEMBER 2019
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v7i4.

Abstract

LPG is an alternative fuel that is used for daily needs, it is caused not only because of its cheap price but also its easy installation. However, the characteristic of LPG gas which is flammable and heavier than oxygen makes LPG gas leakage is hard to be detected. Based on that problem, a system that is able to detect gas leakage is needed and the system itself has to pass the sensitivity level test to be gas sensor. In this study there are 3 sensors; MQ-2, MQ-5 and MQ-6 gas sensors which are connected to the Arduino Uno microcontroller as it can be used as a feature to classify the condition of the gas by the implementation of the Fuzzy Mamdani method. The output of the system is displayed on an LCD, marked with a buzzer and a fan as gas decoder. The Arduino Uno that was programmed using fuzzy logic was used to control the level of leakage and to give a solution level through the rotation of fan and the buzzer sound. From the test results, the system could determine various conditions of gas leakage with 93% accuracy. From the results of its simulation and test, MQ-5 had higher sensitivity rather than MQ-2 which had the lowest sensitivity toward gas leakage.   Keyword: Leakage, LPG Gas, Fuzzy Logic,
Prediction of Elpiji price using artificial neural network Eka Surya Gumilang
Journal of Telematics and Informatics Vol 7, No 4: DECEMBER 2019
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v7i4.

Abstract

Elpiji cylinder (Liquefied petroleum gas) are basic life needs of the general public. Unfortunately for customers, unstable elpiji price in retailer. The Indonesian Government plays an important role for the Liquefied petroleum gas industry to give elpiji price stable for end user. This work use artificial neural network and backpropagation for prediction of elpiji price. Total of 1096 records collected from 2015 until 2017 were fed into the neural network models with nine variable for input data. There are inflation, elpiji Allocation, elpiji prices previous, the poor society (the poor, very poor, the near poor), and date (year, month, day). This data were used to evaluate  prediction accuracy, and the price prediction results were found to be more accurate than those made by a method using only eight input variable. Root Mean Square Error (RMSE) nine variable 0.030959131, RMSE variable just 0.199884634, and the test result 0.121417236. The presented results were proved that this model can be used with good accuracy for the prediction elpiji price.
CONSTRUCT DESIGN DEVELOPMENT OF ROBOTIC HAND ACTUATOR FOR AFTER STROKE PATIENT REHABILITATION Gunawan Alim
Journal of Telematics and Informatics Vol 7, No 4: DECEMBER 2019
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v7i4.

Abstract

This research is analyzing about construct design development of robotic hand actuator for after stroke patient rehabilitation, implementation for people paralyzed due stroke, the function is to move a paralyzed hand member. It consists of 12 actuators, and for each actuator is driven by DC Motor idependently. This actuator is movements by the other normal hand of stroke patient with symmetrical movements, asymmetry as well some physiotherapy movements that have been programmed. This integration control is carried out using an Arduino Uno microcontroller. The testing of the instrument was carried out by simulating the Simulink test, simulation testing using Proteus and direct testing of the prototype. This research have some diviations, and it happen because of the inertia of tools and equipment. This finding of this research is that robotic hand is quite heavy, and some movements that arise is not according in the program, and the response time is take a long time.
Vital Sign Monitoring in ICU Patients Based on MEWS (Modified Early Warning Score) with IOT (Internet of Things) agus sukarno; Arief Marwanto; Suryani Alifah
Journal of Telematics and Informatics Vol 7, No 4: DECEMBER 2019
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v7i4.

Abstract

Abstract Vital signs are signs that show important functions of the human body, from these signs can be known whether a person is relatively healthy, has a serious illness, or suffers from a life-threatening disorder. Vital signs are the value of physiological functions consisting of blood pressure, temperature, oxygen saturation, pulse and respiratory rate. Vital sign monitoring tools researchers used four parameters, namely blood preasure, heart rate, oxygen saturation, and body temperature. The tool uses the IoT (Internet of Things) system, where this tool uses sensors used, namely the DS18B20 temperature sensor, the Heart Rate sensor and the SPO2 MAX 30100 sensor, the OMRON HME-7130 sensor, the ESP 32 microcontroller as a data processor and Wi-Fi connection. The patient's vital condition data will be displayed on the android smartphone and on the mydevices.com WEB page. This tool is rule-based with a Modified Early Warning Score (MEWS) system to determine the status of patients and assist medical personnel in monitoring the vital parameters of patient signs in real time at each location and responding quickly and precisely so as to improve the quality of life of patients. Comparison using patient monitor tools, body temperature measurements produce the highest and lowest percentage of error that is 0.19% and 0.08% with an average temperature of 36.06ºC and 35.96ºC, then heart rate measurements obtained the highest and lowest percentage of errors of 0.08% and 0.3% with an average heart rate of 74 bpm and 87.3. Then the measurement of SpO2 obtained the highest and lowest percentage of error of 1% and 0% with an average SpO2 of 97% and 97.3%, then the NIBP measurement obtained the highest and lowest percentage of error systole / diastole of 7.4% / 7.2% with NIBP with an average systole / diastole of 109.6 / 64 mmHg and the lowest error percentage is 0.3% / 1.1% with an average NIBP of 125 / 62.3 mmHg. Data transmission to the internet using the cayene application on Android smartphones and WEB is greatly influenced by the quality of the connection from the internet network. Key words: Vital Signs, Modified Early Warning Score (MEWS), DS18B20, MAX 30100, ESP32 Microcontroller, IoT.
Efficiency of Electrical Energy in Building Base on DSM with AHP Method Sunu Arsy Pratomo
Journal of Telematics and Informatics Vol 7, No 4: DECEMBER 2019
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v7i4.

Abstract

In the modern world, electrical energy is very important to support all activities in office buildings, educational facilities, industrial complexes and household activities. The problem that occurs in the use of electricity is the lack of understanding of energy conservation from the consumer side. This causes the waste of electrical energy. An alternative solution to this problem is an effort to make efficient use of electrical energy from the consumer side. By applying Demand Side Management (DSM) to the building, an efficient and rational use of electrical energy is obtained. To implement DSM it is necessary to conduct an energy audit of the building. By conducting an energy audit then Energy Use Intensity (EUI) and the profile of electrical energy usage is obtained. After EUI and the energy use profile are known then energy policy recommendations are determined in the building. By using the Analytical Hierarchy Process (AHP) an alternative set of decisions is made that is right in reducing electricity consumption so that it reaches the desired efficiency point in accordance with building management policies The results of processing from AHP obtained an alternative set of electrical energy efficiency according to its weight is the regulation of the use of office facilities by 48.5%, maintenance of existing equipment by 31.1%, utilization of new energy-saving technologies by 20.4%. Keywords: Energy Audit, EUI, DSM, AHP.
Improved communication skills of children with Autism Spectrum Disorder using Augmented Reality based on PECS (Picture Exchange Communication System) Taryadi Taryadi; Ichwan Kurniawan; Sattriedi Wahyu Binabar
Journal of Telematics and Informatics Vol 7, No 4: DECEMBER 2019
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v7i4.

Abstract

PECS is a method for developing communication using images to exchange desired objects according to the image, especially for children with autism with non-verbal abilities. PECS has many advantages over other communication learning methods that can encourage autistic children to communicate well. Besides having many advantages, the PECS method itself has many disadvantages. The research conducted was to build an application specifically designed for children with autism by correcting the deficiencies that exist in learning with the PECS method. The application is designed with the guidance of an expert Psychologist Children with Special Needs and refers to previous studies as reference material for application interface design. Application testing involves 4 autistic children from 2 different SLBs. Tests are carried out 2 times for each child to find out the progress of application utilization. The test results show that the proposed application is in accordance with the aesthetic design of the MDA framework that is designed so that it is truly able to be accepted by autistic children while also having a positive impact on them, as well as being able to create a learning environment that is more enjoyable both for children with autism and for teachers.

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