2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)最新文献_第6页

Women empowerment: One stop solution for women 妇女赋权:妇女一站式解决方案

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285555

Sharifa Rania Mahmud, J. Maowa, F. W. Wibowo

{"title":"Women empowerment: One stop solution for women","authors":"Sharifa Rania Mahmud, J. Maowa, F. W. Wibowo","doi":"10.1109/ICITISEE.2017.8285555","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285555","url":null,"abstract":"Today world population is seven billion plus, and it will be nine billion by 2050. More than 53% are women who are experiencing diversified situation from born to death. Being women they faces challenges in treatment choice and hence women are neglected and isolated from performing social responsibility for the sake of so called vulnerable women health. In many developed countries woman's health, education, nutrition and economic power have indicated that women are still inferior to men. Women live in rural areas, are responsible for most of the domestic work without economical impact analysis that is done in rural areas. Women in cities can't advance further in manufacturing job. In this paper we discuss about violence against women (VAW) and also different health issues of women. We have designed and present a skeleton of a user friendly mobile application named Women Empowerment which will contain different laws related to VAW and also contains different health tips for women, which will help the rural as well as urban women. It includes emergency call system, which will be active by the victim women when they are in danger.","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":"122571974","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: 8

Financial analysis and TOPSIS implementation for selecting the most profitable investment proposal in goat farming 选择最有利可图的山羊养殖投资方案的财务分析和TOPSIS实施

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285558

C. H. Primasari, D. Setyohadi

引用次数: 5

Determination of spinal curvature from scoliosis X-ray images using K-means and curve fitting for early detection of scoliosis disease 利用k -均值和曲线拟合从脊柱侧凸x线图像中测定脊柱曲度，用于脊柱侧凸疾病的早期检测

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285486

B. Kusuma

{"title":"Determination of spinal curvature from scoliosis X-ray images using K-means and curve fitting for early detection of scoliosis disease","authors":"B. Kusuma","doi":"10.1109/ICITISEE.2017.8285486","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285486","url":null,"abstract":"One of the disease that require X-ray diagnosis is scoliosis. Early detection of scoliosis is important to do for anyone. From the early detection information, the doctor may take the firts step to further treatment quickly. Determination of spinal curvature is a first step method that used to measure how severe the degree of scoliosis. The severity degree of scoliosis can be assess by using Cobb angle. Therefore, by approximate the spinal curvature, we can approximate the cobb angle too. From previous work that interobserver measurement value may reach 11.8° and intraobserver measurement error is 6°. So, as far as the cobb angle measuring, the subjectivity aspect is the natural thing and can be tolerated until now. This research propose an algorithm how to define spinal curvature with the aid of a computer in digital X-ray image quickly but has a standard error that can be tolerated. The preprocessing has been done by canny edge detection. The k-means clustering algorithm can detect the centroid point after segmentation preprocessing of the spinal segment and polynomial curve fitting will be used in the process for determining the spinal curve. From the spinal curvature information, the scoliosis curve can be classified into 4 condition, normal, mild, moderate, and severe scoliosis.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"17 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":"130912076","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: 12

Database integration based on combination schema matching approach (case study: Multi-database of district health information system) 基于组合模式匹配方法的数据库集成(以区域卫生信息系统多数据库为例)

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285544

M. F. Rachman, G. Saptawati

引用次数: 11

OSPF cost impact analysis on SDN network SDN网络中OSPF开销影响分析

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285494

Ronald Adrian, Akhmad Dahlan, K. Anam

{"title":"OSPF cost impact analysis on SDN network","authors":"Ronald Adrian, Akhmad Dahlan, K. Anam","doi":"10.1109/ICITISEE.2017.8285494","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285494","url":null,"abstract":"Software Defined-Network is a new technology in the network engineering. This technology allows a server which is called by a controller and it controls all connected devices. All configurations and resources of network devices become centralized to the controller. One of them is routing configuration. This makes it easier for network administrators to configure routing on complex networks. This study focused on OSPF implementation and QoS performance analysis on SDN networks. OSPF implementation can be configured using cost and no cost. This configuration can be done as a configuration of cost settings on conventional networks. It affects the selection of main data paths on OSPF routing. This implementation in this research used the Mikrotik devices. Data retrieval involves convergence time and some QoS parameters such as Throughput, PLR, Jitter and Delay. In testing phase used traffic data which generated by iperf and D-ITG with variations of existing data types. The goal of this research is to find the best routing configuration on SDN networks, especially in OSPF. This research can be expanded with the various parameters and complex topology.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"149 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":"128138944","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

Summarizing Indonesian text automatically by using sentence scoring and decision tree 基于句子评分和决策树的印尼语文本自动总结

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285473

Periantu Marhendri Sabuna, D. Setyohadi

{"title":"Summarizing Indonesian text automatically by using sentence scoring and decision tree","authors":"Periantu Marhendri Sabuna, D. Setyohadi","doi":"10.1109/ICITISEE.2017.8285473","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285473","url":null,"abstract":"Text summarization is a process of compressing a text from the source to be a shorter version, but the version still contains the main information there. By reading the summary, the readers might be easy and fast to understand the contents instead of reading all the text. Because of that, it needs a method to understand, clarify, and present the whole information needed clearly and succinctly in the summary. So, it allows the readers save the time and energy. This research combining sentence scoring and decision tree method for automatic text summarization in Indonesian language. It uses the decision tree algorithm to choose which of sentences will be selected in summarization system. To produce the rules for decision tree, it uses 50 news texts as the training data. The produced-model from the training stage will be implemented for sentence selection process to the summarization system. The result shows the highest f-measure score is 0, 80 and the average is 0, 58. Based on this, it concludes that the result of document summarization using sentence scoring and decision tree shows a better accuracy score for news text document.","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":"114441706","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: 14

Inveo, a management information system for emissions inventory e-administration in Indonesia Inveo，一个用于印尼排放清单电子管理的管理信息系统

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285564

Ryan Yonata, A. Purwarianti

{"title":"Inveo, a management information system for emissions inventory e-administration in Indonesia","authors":"Ryan Yonata, A. Purwarianti","doi":"10.1109/ICITISEE.2017.8285564","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285564","url":null,"abstract":"Emissions inventory is a data collection of accounted amount of pollutants released into the atmosphere. Emissions inventory can be useful to monitor air pollution in an area. Many countries in the world have already developed a system to manage emission inventory, excluding Indonesia. We have developed Inveo, a management information system for emissions inventory in Indonesia. As an e-administration system, Inveo aims to facilitate the process of collecting and managing regional emissions inventory data which also providing data and information to the public. Requirement analysis in this paper is defined by doing surveys and analyzing existing works and researches. Point, area, and road emissions inventory sources are modeled as a point. Inveo can manage several emissions inventory data such as emissions, locations, roads, surveys, facilities, fuels, map legend bounds, and user accounts. This system provides data and information to the public and is visualized by emission map, graphics/charts, and comparison statistics. Inveo is tested using three methods: functional testing, usability testing using system usability scale, and visualization testing. Based on the test result, the system is already fulfilled functional requirements, usability aspects with a SUS score of 75 and fulfilled usability and user experience goal, and the visualization is understandable for the users.","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":"114761543","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: 0

The design of face recognition and tracking for human-robot interaction 面向人机交互的人脸识别与跟踪设计

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285519

W. S. M. Sanjaya, D. Anggraeni, Kiki Zakaria, Atip Juwardi, M. Munawwaroh

引用次数: 15

Comparative analysis of k-nearest neighbor and modified k-nearest neighbor algorithm for data classification k近邻算法与改进k近邻算法在数据分类中的比较分析

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285514

Okfalisa, Ikbal Gazalba, Mustakim, Nurul Gayatri Indah Reza

{"title":"Comparative analysis of k-nearest neighbor and modified k-nearest neighbor algorithm for data classification","authors":"Okfalisa, Ikbal Gazalba, Mustakim, Nurul Gayatri Indah Reza","doi":"10.1109/ICITISEE.2017.8285514","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285514","url":null,"abstract":"Data mining is the process of handling information from a database which is invisible directly. Data mining is predicted to become a highly revolutionary branch of science over the next decade. One of data mining techniques is classification. The most popular classification technique is K-Nearest Neighbor (KNN). But there is also the Modified K-Nearest Neighbor (MKNN) classification algorithm which is the derived algorithm of KNN. In this paper we will analyze the comparison of KNN and MKNN algorithms to classify the data of Conditional Cash Transfer Implementation Unit (Unit Pelaksana Program Keluarga Harapan) which consist of 7395 records. Comparative analysis is based on the accuracy of both algorithms. Before classification, K-Fold Cross Validation was done to search for the optimal data modeling resulted in data modeling on cross 2 with accuracy of 93.945%. The results of K-Fold Cross Validation modeling will be the model for training data samples and testing data to test KNN and MKNN for classification. Classification result produced accuracy based on the rules of confusion matrix. The test resulted in the highest accuracy of KKN by 94.95% with average accuracy during the test was 93.94% and the highest accuracy of MKNN was 99.51% with the average accuracy during the test was 99.20%, almost all testing from the first test up to the tenth, MKNN algorithm is superior and has better accuracy value than KNN so it can be analyzed that the ability of MKNN algorithm in accuracy is better than KNN. It can be concluded that MKNN algorithm is capable of handling accuracy better for classification than KNN algorithm, by ignoring other aspects such as computerization, time efficiency, and algorithm effectiveness.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"12 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":"114970199","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: 132

Weather forecasting using Knowledge Growing System (KGS) 利用知识增长系统(KGS)进行天气预报

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285526

Muhammad Nurwiseso Wibisono, A. S. Ahmad

引用次数: 11