2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)最新文献_第9页

Analysis and design of tourism information system: A study of rote ndao Indonesia 旅游信息系统的分析与设计——以印尼罗迪岛为例

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285480

Veky A. B. Hanas, A. Santoso, Suyoto

{"title":"Analysis and design of tourism information system: A study of rote ndao Indonesia","authors":"Veky A. B. Hanas, A. Santoso, Suyoto","doi":"10.1109/ICITISEE.2017.8285480","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285480","url":null,"abstract":"The paper will present to analyze and design a tourism information system, which is based website that functions as a means of tourism information services and for promoting tourism in Indonesia specially Rote Ndao District. This information system has comprehensive information on the public and tourists. Methods of data collection on this study are collecting data through literature studies, interviews, and observations and analyze software requirements set out. There are two types of data, First Data, and secondary data. The collection of primary data used freely conducts interviews or does not use the guideline systematically with relevant parties and makes observations attractions in Rote Ndao District and the Department of Tourism and Culture Rote Ndao District. As for the secondary data for the analysis and design of this is data on tourism from books, journals, results of previous studies, brochures, and browsing the Internet. The result from the design of information systems in the form of web-based tourism is expected to become a medium of information and can promote tourism Rote Ndao.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123150915","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}

引用次数: 2

Review on fuzzy expert system and data mining techniques for the diagnosis of coronary artery disease 模糊专家系统与数据挖掘技术在冠状动脉疾病诊断中的研究进展

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285527

Wiga Maaulana Baihaqi, T. Hariguna, Tri Astuti

{"title":"Review on fuzzy expert system and data mining techniques for the diagnosis of coronary artery disease","authors":"Wiga Maaulana Baihaqi, T. Hariguna, Tri Astuti","doi":"10.1109/ICITISEE.2017.8285527","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285527","url":null,"abstract":"According to World Health Organization (WHO), Coronary Artery Disease (CAD) has become the leading cause of death in many countries, especially in Asia. In Indonesia itself, CAD becomes the second rank for the cause of death because 9.89% of the total number of deaths is caused by CAD. This paper focused on reviewing possible algorithm types of data mining, fuzzy, and combination between data mining and fuzzy applied for dataset processing and classification to identify patients suspected of having CAD and optimized in minimal time with high accuracy. The choice of data to design a detection system also varied. Standart datasets with relevant features are used to facilitate detection of abnormalities with the maximum detection rate. The use of data mining techniques produced the highest accuracy of 99%, they were with J48 algorithm, Naive Bayes, REPTREE, CART, and Bayes Net. The use of fuzzy produced accuracy of 94% that was by methods of mamdani inference system and fuzzy membership function of triangle and trapezoid. The use of data mining and fuzzy produced 94.92% with decision tree algorithms, fuzzy, and ICA.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121017477","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}

引用次数: 5

Storing, diving and distributing of comprehensive knowledge using knowledge management in the library and knowledge center 利用图书馆和知识中心的知识管理实现综合知识的存储、挖掘和分布

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285513

C. M. Sarungu, Titan, D. F. Murad, Sunardi

{"title":"Storing, diving and distributing of comprehensive knowledge using knowledge management in the library and knowledge center","authors":"C. M. Sarungu, Titan, D. F. Murad, Sunardi","doi":"10.1109/ICITISEE.2017.8285513","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285513","url":null,"abstract":"The Library and Knowledge Center is part of a university to store all knowledge possessed and become the center of knowledge in it. This writing will offer a framework of knowledge management system implementation strategy for the Library and Knowledge Center. Beginning with the strategy planning to the deployment, and also monitoring and control process when it is already running and used. The framework itself contains tools and techniques that necessary in the knowledge management system development, such as Zack Framework for gap analysis, SDLC for the system development, and change management for the implementation phase. All these steps are made with expectation of making the implementation of knowledge management system in Library and Knowledge Center becoming more systematic and will make the department a center of knowledge network in the university where all parties can contribute to the process of knowledge management, from creating, distributing, improving, exploring, combining and providing reviews of knowledge that it is contained.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"65 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133784492","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}

引用次数: 4

On comparison of deep learning architectures for distant speech recognition 远距离语音识别中深度学习体系结构的比较

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285488

Rika Sustika, A. R. Yuliani, Efendi Zaenudin, H. Pardede

引用次数: 9

Optimization the parameter of forecasting algorithm by using the genetical algorithm toward the information systems of geography for predicting the patient of dengue fever in district of sragen, Indonesia 将遗传算法应用于印度尼西亚斯拉根地区登革热患者预测地理信息系统，对预测算法参数进行优化

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285548

Ryan Putranda Kristianto, Ema Utami

{"title":"Optimization the parameter of forecasting algorithm by using the genetical algorithm toward the information systems of geography for predicting the patient of dengue fever in district of sragen, Indonesia","authors":"Ryan Putranda Kristianto, Ema Utami","doi":"10.1109/ICITISEE.2017.8285548","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285548","url":null,"abstract":"The major increase in number of the patients of Dengue Fever in district of Sragen, Indonesia in the last three years (2013–2015) has taken casualties in district of Sragen, Indonesia. It affected all the people in all ages including teenagers under 15 years old. The lacking of anticipation from Health Department of District Sragen was the result of unavailable system that could predict the increasing numbers of Dengue Fever's patients. In order to solve those issues, the author then did the sustainable research by applying the combination of Genetical Algorithm (GA) and Triple Exponential Smoothing (TES) to predict the patients of Dengue Fever in that district specially on years 2016 and will be continued. The data used by the researcher was the data of Dengue Fever's patient from 2013 to 2016 in the first semester. GA was used to cover the weakness part of TES in setting the parameter of alpha, beta, and gamma that influenced the accuracy of prediction. The result of this research was the comparative data between GA-TES and TES and also the calculation of the increasing accuracy after using GA. The calculation of accuracy itself used the method of Mean Absolute Percentage Error (MAPE). The data of testing result showed the average of increasing of the combination of GA-TES' algorithm which was 8% comparing to TES' algorithm. Contribution this research is in method repairing of econometric forecasting using optimization algorithm, hope there's improving new model of forecasting method weak which the accuracy increase to 0%.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131466770","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}

引用次数: 4

Comparing three time series segmentation methods via novel evaluation criteria 基于新评价标准的三种时间序列分割方法的比较

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285489

H. Thuy, D. T. Anh, Vo Thi Ngoc Chau

{"title":"Comparing three time series segmentation methods via novel evaluation criteria","authors":"H. Thuy, D. T. Anh, Vo Thi Ngoc Chau","doi":"10.1109/ICITISEE.2017.8285489","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285489","url":null,"abstract":"Time series segmentation is one of the important basic tasks in time series data mining. Indeed, it is a pre-requisite step for many other time series mining tasks such as dimension reduction, representation, classification, clustering, prediction, motif discovery and anomaly detection in time series. Since several segmentation techniques have been proposed, it is difficult to select a suitable one for a specific application if we do not know how to evaluate the performance of various segmentation methods. This paper focuses on comparing the quality of three well-known segmentation methods: Important Extreme Points, Perceptually Important Points and Polynomial Least Square Approximation by using some existing evaluation criteria for time series segmentation. However, the existing evaluation criteria required prior knowledge about the time series and their segments as external information in their criteria. Therefore, we propose one more evaluation criterion for time series segmentation. Experimental results have showed that the set of novel evaluation criteria can help to quantify segmentation results and the quality of each segmentation method depends on the characteristics of each tested dataset.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134584342","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}

引用次数: 4

Decision support system design to decide on the latest smartphone using analytical hierarchy process 决策支持系统的设计，以决定最新的智能手机使用层次分析法

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285550

Wirda Astari Galvani Natasya, Kusnawi Kusnawi

{"title":"Decision support system design to decide on the latest smartphone using analytical hierarchy process","authors":"Wirda Astari Galvani Natasya, Kusnawi Kusnawi","doi":"10.1109/ICITISEE.2017.8285550","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285550","url":null,"abstract":"Over the ages, technology has grown intensively. Technology and its increasing prevalence have impacted human life and encourages each individual to keep abreast of these developments especially in the technology and communications sectors. More than half the world now uses smartphones. The smartphone has become the primary need and has become one of the global phenomenon. It can be seen from the large number of people's habit in the purchase of smartphone, and even there is survey report says that in some countries the number of smartphone subscribers had exceeds its population. The improvement of software and hardware of smartphones is growing rapidly to meet the needs and demand of the market. The increasing number of products as well as the amount of information carried by each brand can overload and confuse consumers, can result in stress and frustration so it will lead to sub-optimal decisions. Based on that, it is necessary to develop a decision support system that helps to reduce consumer confusion problem in choosing a smartphone. Decision Support System to Decide on the Latest Smartphone Using Analytical Hierarchy Process is a web-based system which was developed to assist the consumer in selecting a smartphone systematically. Analytical Hierarchy Process is one of multi-criteria decision-making method and it was chosen because it has been widely used and widely accepted in various organizations, companies and countries around the world. Results of Analytical Hierarchy Process are more consistent than others. It is also easily understood and easy-to-implement. The existence of the application that has been designed is expected to be a tool to guide consumer decision-making, and provide the best solution that meets consumer needs, so problem resolved effectively and efficiently.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134067615","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}

引用次数: 6

Pattern recognition using backpropagation and template matching algorithm 模式识别采用反向传播和模板匹配算法

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285479

H. S. Letsoin, C. C. Z. Slarmanat, A. E. Mirino, Suyoto

{"title":"Pattern recognition using backpropagation and template matching algorithm","authors":"H. S. Letsoin, C. C. Z. Slarmanat, A. E. Mirino, Suyoto","doi":"10.1109/ICITISEE.2017.8285479","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285479","url":null,"abstract":"Based on the constitution no 28 In 2009 about tax areas and regional retribution on article 4, that the subject is a personal vehicle Tax or entity owns and or controlled vehicle. Every owner of a vehicle is required to be obedient to pay taxes vehicles. Intelligent systems on these applications use the collaboration of two algorithms, namely the backpropagation algorithm and template matching. The process of working application this is to start with system first taken imagery digital (scan) license plate then do segmentation to detect character which is found in the license plate the next system will match with a character is in the database and the system showing the data in accordance with the character of the license plate. The intelligent system of the work process in the application is divided into two processes namely image processing and pattern recognition. The process of image processing using the backpropagation algorithm and will continue with the process of pattern recognition using template matching method. The process of image processing using the backpropagation algorithm and will continue with the process of pattern recognition using template matching method. Images processing are consisted of binary, media filtering, slicing, and resizing. Due to the process of image processing consists of binary, the media filtering, slicing, and resizing. After that character obtained the segmentation process will be conducted to find out each character in the license plate number of the vehicle. The character which is stored at the base of data consists of 38 namely character letters A-Z, character figures 0–9, character spacing (“ ”), character point (“.”). The application was built for the purpose of ease checking of vehicle tax online through the cell phone and can be used by various parties those who need information accurate about vehicle tax.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133823400","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}

引用次数: 2

A hybrid cat swarm optimization - crow search algorithm for vehicle routing problem with time windows 求解带时间窗车辆路径问题的混合猫群优化-乌鸦搜索算法

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285529

A. B. Pratiwi

引用次数: 13

Design and analysis automatic temperature control in the broiler poultry farm based on wireless sensor network 基于无线传感器网络的肉鸡养殖场温度自动控制系统的设计与分析

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285549

Danar Wicaksono, D. Perdana, Ratna Mayasari

{"title":"Design and analysis automatic temperature control in the broiler poultry farm based on wireless sensor network","authors":"Danar Wicaksono, D. Perdana, Ratna Mayasari","doi":"10.1109/ICITISEE.2017.8285549","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285549","url":null,"abstract":"The demand of chicken meat consumption has increased continually. So there is a need to give attention to several factors to optimize the production results. One of these factors is the temperature and humidity in the chicken broiler farm. A concept of modern poultry farms using computer network technology is benefical. In this study, we designed a Wireless Sensor Network technology which can monitor and control the condition of temperature and humidity in the poul try cages. This system consists of 3 sensor nodes and coordinator node with a star topology. The measurements of several scenarios are needed to analyze the quality of wireless sensor network technology. The temperature and humidity sensor has an average percent error of 1.51%. The power consumption required per node of 3.15 mW with the system life time for 4 hours 42 minutes. The maximum range of xbee when the conditions of Line of Sight is farther than urban conditions. The range of xbee in indoor Line of Sight conditions is 79 m and the outdoor is 94 m. Otherwise, range in urban area indoor is 46 m, and for outdoor is 83 m. Implementation results show that the heat index can be maintained in 25°C.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114626010","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}

引用次数: 13