Journal of Telematics and Informatics最新文献

{"title":"A STEGANOGRAPHY LEAST SIGNIFICATION BITS (LSB) TECHNIQUE FOR HIDE TEXT DATA ENCRYPTION WITHIN IMAGE","authors":"khaled jemah basher, Imam Much Ibnu Subroto, Arief Marwanto, M. Qomaruddin","doi":"10.12928/JTI.V8I4","DOIUrl":"https://doi.org/10.12928/JTI.V8I4","url":null,"abstract":"Information technology is always developing and has very rapid growth. The internet has become a very important online communication tool for many people today. Nowadays people tend to prefer anything that is practical, faster, and flexible. Social networking services have become a simple and universal concept in the internet environment. Purpose of this study are: To analyse happiness of Libyans people based on Twitter data using artificial neural network. This study is an analytical study of secondary data processing obtained without direct field experiments. MTE (Magister program of Electrical Engineering) UNISSULA must have experiment. This study is an analytical study of data based on social media specifically using twitter data. The result of this study is Libyan feel they write down their feelings when happy rather than unhappy. Social media has become an important part of modern life, and Twitter is again a center of focus in recent events. Whatever your opinion of social media these days, there is no denying it is now an integral part of our digital life. Twitter is a good starting point for social media analysis because people openly share their opinions to general public. This is very different from Facebook where social interactions are often private. In this paper, we propose a ANN model for Twitter opinion mining prediction and classification approach. Also, we used the ANN model for Twitter Opinion abstraction and visualization scheme. The main contribution of this work is to propose such a new visualization model for Twitter mood prediction based on ANN  approach","PeriodicalId":364935,"journal":{"name":"Journal of Telematics and Informatics","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114619819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Novel Cuff-less Measurement Method for Noninvasive Blood Pressure Prediction using Body Vital Signals","authors":"Shooka Shariat Mohreri, M. Moradi","doi":"10.12928/JTI.V8I1","DOIUrl":"https://doi.org/10.12928/JTI.V8I1","url":null,"abstract":"Hypertension or the abnormal increase of blood pressure is a chronic disease which can damage the other parts of the body such as the kidneys, heart, and vessels. The high cost of treating the injuries caused by hypertension is undeniable. Various techniques exist for measuring the blood pressure. In recent years, machine learning models became more popular due to being non-invasive and their continuous supervision, remote use, and low cost. Several analyses were performed by the audio signals of cardiac palpitations, electrocardiograms, on photo plethysmogramy on software and hardware platforms. Researchers used machine learning techniques to present the alternative methods for aggressive and costly methods. Among the presented methods, regression algorithms, support vector machine (SVM), and neural network (NN) are highly popular. This study presented a method for analyzing ECG and PPG signals for diagnosing hypertension. The proposed method can improve the classification accuracy regardless of the classification algorithm by providing the combined features. In the conducted evaluation, the neural network algorithm was proposed for the data with continuous label while the C4.5 tree was proposed for the data with discrete label. In addition, the proposed generalized method was provided by calculating the cosine distance and optimizing the genetic algorithm for low data and noise conditions.","PeriodicalId":364935,"journal":{"name":"Journal of Telematics and Informatics","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115714905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vital Sign Monitoring in ICU Patients Based on MEWS (Modified Early Warning Score) with IOT (Internet of Things)","authors":"agus sukarno, Arief Marwanto, S. Alifah","doi":"10.12928/JTI.V7I4","DOIUrl":"https://doi.org/10.12928/JTI.V7I4","url":null,"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.","PeriodicalId":364935,"journal":{"name":"Journal of Telematics and Informatics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133217521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Participatory Sensor System for Monitoring Chem and Particulate from Peat Forest Fire","authors":"Rony Teguh","doi":"10.12928/JTI.V6I4","DOIUrl":"https://doi.org/10.12928/JTI.V6I4","url":null,"abstract":"We have developed a low-cost participatory monitoring system for wildfire in peatland, that enables air pollutan referential parameters measurements based on a multilayer distributed parameter model with a Wido IoT platform. This is an Internet of Things (IoT) application, of which a physical object is embedded with electronics, software, sensors and GSM connectivity to allow monitoring participatory system (CO, CO 2 , PM10) on real-time based on cloud systems In this paper proposes a low-cost, rapid-deployment and energy-autonomous solution based on Wido IoT to improve the assessment and the understanding of air quality in developing monitoring peatland areas, thus helping policy makers and scientists to better handle air pollution. The proposal incorporates the use of a website to display collected data and processed information to empower citizens with knowledge about the air they breathe.","PeriodicalId":364935,"journal":{"name":"Journal of Telematics and Informatics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114068625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automatic Lecture Meeting Folder Based on Hierarchical Directories","authors":"W. Untoro","doi":"10.12928/JTI.V7I1","DOIUrl":"https://doi.org/10.12928/JTI.V7I1","url":null,"abstract":"The lecture meeting is a face-to-face meeting between a teacher and the learners in the classroom in the implementation. In the rules that apply that every lecture meeting a teacher must put the signature on the sheet of paper attendance in the signature column. Checking the lecture meeting in this way has its weaknesses, namely easily manipulated. For this reason, there is an idea to design a system that can make automatic college meeting folders every time the teacher runs this system. The experimental results show that the system can automatically create lecture meeting folders for various subject names that are already available.","PeriodicalId":364935,"journal":{"name":"Journal of Telematics and Informatics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132696233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Heuristic Techniques On Weight Optimization Of Backpropagation Neural Network","authors":"Khoiriya Latifah, Ika Novita Dewi, P. IkaAyuAmelia, P. RichardusAnggi","doi":"10.12928/JTI.V6I3","DOIUrl":"https://doi.org/10.12928/JTI.V6I3","url":null,"abstract":"The number of visitors the immigration office who made passport or passport renewal every month is very volatile, this problems make the Immigration Office maintain quality of service, thus requiring prediction methods when there will be a surge of visitors so that the quality of service is maintained. The immigration office should have some information to make predictions. Perfect information will make it easier , good predictions and accurate predictions. The exact method is one of the method predict accurately. Its called artificial neural network that a computational method mimics system of neural network biology. Artificial neural networks are formed to solve a particular problem such as pattern recognition or classification because of the learning process.This study uses Heuristic Backpropagation to increase the speed of the training process of neurons in making predictions.","PeriodicalId":364935,"journal":{"name":"Journal of Telematics and Informatics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115906370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application The Farmer Business Using Method E-Market Place","authors":"Frengklin Matatula, Maura Widyaningsih","doi":"10.12928/JTI.V3I2","DOIUrl":"https://doi.org/10.12928/JTI.V3I2","url":null,"abstract":"Marketing of products from farmers so far has not been fully coordinated in the region specifically in Central Kalimantan. Although technology has developed, but for small and medium enterprises (SMEs) farmers are still untouched technology as a supporter of promotion and marketing products. Online-based marketing technology is a solution in terms of promotion and marketing. So product data in rural areas can be accessed easily, so it can reach every area . Application of vegetable growers based on digital using E_Market Place method, with the aim to facilitate the promotion and marketing of farmers' businesses online, so can be widely accessible. This matter to increase market sales of SMEs, in addition to the physical market that has been running among farmers. The application provides the availability of data and service management handling, if any changes or additions to sellers and products are promoted and traded online. Applications are supported by monitoring of buyers and revenue from each seller, so as to enhance the promotion and competitiveness of the products offered. Applications are also supported by shipping techniques that buyers can choose from, so that shipping and transaction costs can be known in advance from each purchase.","PeriodicalId":364935,"journal":{"name":"Journal of Telematics and Informatics","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114515730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of Enterprise Resource Planning (ERP) Systems Implementation","authors":"Marti Widya Sari, Banu Santoso, Adhi Wibowo","doi":"10.12928/JTI.V6I2","DOIUrl":"https://doi.org/10.12928/JTI.V6I2","url":null,"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.","PeriodicalId":364935,"journal":{"name":"Journal of Telematics and Informatics","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122339025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CONTROL OF AIR COOLING SYSTEM BASED ON FUZZY LOGIC","authors":"S. Sukiran, Arief Marwanto, S. Alifah","doi":"10.12928/JTI.V6I1","DOIUrl":"https://doi.org/10.12928/JTI.V6I1","url":null,"abstract":"A comfortable activity in of a room is depended on environment. Temperature and humidity is considered that greatly affect the air condition performance. This study aimed to design and built a prototype air cooling controller, namely the fan, so it can control the speed of the fan according to conditions of temperature and humidity. This research uses arduino uno R3 microcontroller and the of DHT 22 sensor to detect temperature and humidity of room and PIR sensor to detect human presence in the room. Sugeno fuzzy logic method is used to take the decision which is processed by microcontroller. That an test is done by manual calculation, matlab simulation and prototype testing. The results shows the averaged accuracy of temperature testing is 3.89%, while range is 1.99% and average humidity accuracy 3.21%, range is 2.49%. the system is able to control the fan of cooling fan autamatically accordances to the desired rules based on fuzzy logic. Therefore, a proposed prototype model is able works performed. comfortable activity in of a room is depended on environment. Temperature and humidity is considered that greatly affect the air condition performance. This study aimed to design and built a prototype air cooling controller, namely the fan, so it can control the speed of the fan according to conditions of temperature and humidity. This research uses arduino uno R3 microcontroller and the of DHT 22 sensor to detect temperature and humidity of room and PIR sensor to detect human presence in the room. Sugeno fuzzy logic method is used to take the decision which is processed by microcontroller. That an test is done by manual calculation, matlab simulation and prototype testing. The results shows the averaged accuracy of temperature testing is 3.89%, while range is 1.99% and average humidity accuracy 3.21%, range is 2.49%. the system is able to control the fan of cooling fan autamatically accordances to the desired rules based on fuzzy logic. Therefore, a proposed prototype model is able works performed.","PeriodicalId":364935,"journal":{"name":"Journal of Telematics and Informatics","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117036066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diminution of Active Power Loss by Communal Expressive Optimization Algorithm","authors":"L. Kanagasabai","doi":"10.12928/jti.v5i1","DOIUrl":"https://doi.org/10.12928/jti.v5i1","url":null,"abstract":"Human society is a multifarious collection which is more effectual than other animal groups. Consequently, if one algorithm imitates the human society, then the efficiency may be healthier than other swarm intelligent algorithms which are stimulated by other animal groups. In this paper Communal Expressive (CE) Optimization Algorithm has been utilized to solve reactive power problem. The key feature of solving Optimal Reactive Power Problem is to reduce the real power loss and to maintain the voltage profile within the specified limits. The proposed Communal Expressive (CE) Optimization Algorithm has been authenticated, by applying it in standard IEEE 118 & practical 191 bus test systems. The results have been compared to other standard methods and the projected algorithm converges to finest solution.","PeriodicalId":364935,"journal":{"name":"Journal of Telematics and Informatics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126622177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}