2017 3rd International Conference on Science in Information Technology (ICSITech)最新文献_第8页

Integrated multi criteria decision making for a destitute problem 贫困问题的综合多准则决策

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257136

E. Budiman, N. Dengen, Haviluddin, Wahyu Indrawan

引用次数: 18

Heuristic evaluation of learning object repository interfaces 学习对象存储库接口的启发式评估

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257078

Shah Mohd Irwan Mat Ishak, S. Noor

{"title":"Heuristic evaluation of learning object repository interfaces","authors":"Shah Mohd Irwan Mat Ishak, S. Noor","doi":"10.1109/ICSITECH.2017.8257078","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257078","url":null,"abstract":"A Learning Object Repository (LOR) is a concept of storage, reuse, and sharing of learning objects in the educational sector among students and educators. It requires an interface to allow interactions between users and applications. One of the elements that distinguishes the quality of an LOR is interface usability. Usability is critical for the success of an application to help users with their objectives. Only a few previous studies have highlighted problems in the usability of LORs. In addition, currently available LOR interfaces often do not help users achieve the objectives of their assignments. Hence, a heuristic study on interface usability was conducted on three chosen LORs. This study aims to achieve two objectives, which are identifying usability problems in current LORs, and suggesting areas of improvement in the current LOR interface. The methodology of this study involves constructing a heuristics questionnaire and obtaining the mean results for each heuristic element of each LOR. Results of analysis have been used to describe the problems of current LORs. Final results showed that there were significant shortcomings in some parts of the LOR interface usability after the study started. Several recommendations are made in this paper to improve the usability of contemporary LORs.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129588277","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

Analysis on anomalous short term load forecasting using two different approaches 两种不同方法的异常短期负荷预测分析

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257178

A. Abdullah, B. Hasan, Y. Mulyadi, D. L. Hakim, Hasbullah, L. Riza

引用次数: 5

Analysis of the concept mapping style in EFL reading comprehension comparison between kit-build and scratch-build concept mapping from the viewpoint of paragraph structure of text 英语阅读理解中概念映射风格的分析——从篇章段落结构的角度比较拼凑式和草稿式概念映射

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257188

Banni Satria Andoko, Y. Hayashi, T. Hirashima

引用次数: 2

Text document clustering using self organizing map: Theses and dissertations of universitas Indonesia 使用自组织地图的文本文档聚类:印尼大学的论文

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257096

Yantine Arsita Br. Panjaitan, I. Surjandari, Asma Rosyidah

{"title":"Text document clustering using self organizing map: Theses and dissertations of universitas Indonesia","authors":"Yantine Arsita Br. Panjaitan, I. Surjandari, Asma Rosyidah","doi":"10.1109/ICSITECH.2017.8257096","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257096","url":null,"abstract":"Accessibility is a critical aspect to be considered by college library in order to facilitate users in searching library collections. The Library of Universitas Indonesia, as one of Asia's largest library with more than 1,500,000 book collections, should also concern about accessibility to balance its numerous collections. UI-ana collections or works produced by and associated with Universitas Indonesia; in particular theses (undergraduate and graduate theses) and dissertations are one of the largest numbers of collections in Universitas Indonesia's Library. However, the current collection's management system was still based on the submission of the collection in Universitas Indonesia's Library. Since these collections are arranged with no exact criterion, it is harder for users to find theses and dissertations with the same topic. Therefore, management of these collections based on certain criterion is extremely needed to facilitate users in searching these collections. This research aims to determine the categories that can represent theses and dissertations through abstract text mining of each collection in 2005–2015 with a clustering algorithm, namely Self-organizing Map. This study found 139 categories which will be used to classify theses and dissertations of Universitas Indonesia.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127916819","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: 1

Intelligent diagnosis system for acute respiratory infection in infants 婴幼儿急性呼吸道感染智能诊断系统

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257175

Subiyanto, Anggraini Mulwinda, D. Andriani

{"title":"Intelligent diagnosis system for acute respiratory infection in infants","authors":"Subiyanto, Anggraini Mulwinda, D. Andriani","doi":"10.1109/ICSITECH.2017.8257175","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257175","url":null,"abstract":"Acute Respiratory Infections (ARI) became the main cause of morbidity and mortality of infectious diseases in the world. Recent studies have focused on the use of data mining techniques to build predictive models that are able to diagnose the ARI. The objective of this research is to develop a diagnosis system to predict ARI in infants using C4.5 algorithm. The algorithm used to build a decision tree. This research is a collaboration authors with the hospitals and doctors. The dataset was obtained from medical records of patients with respiratory disease from a hospital. The data are used as training data and test data. Symptoms that are used as input systems are the danger sign, fever, cough, shortness of breath and fast breathing. The first step is to pre-process subsequent data algorithm classification to form a decision tree. After the decision tree was formed, continued set the rules. That decision rules are implemented to establish the diagnosis system. Validation is done by comparing the results of diagnosis system with the doctor diagnosis. The comparison showed that the results of diagnosis system approaching the diagnosis of doctor. From these results, it can be concluded that the C4.5 algorithm could help to diagnose ARI. However, further investigation with the larger dataset is still needed.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127169171","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

Development of EduGame based Facebook application 基于Facebook应用EduGame的开发

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257137

Wawan Setiawan, M. F. Kuntoro, Sarah Hafitrian

{"title":"Development of EduGame based Facebook application","authors":"Wawan Setiawan, M. F. Kuntoro, Sarah Hafitrian","doi":"10.1109/ICSITECH.2017.8257137","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257137","url":null,"abstract":"This research aims to develop educational games that are integrated in a Facebook application as a learning medium. The resulting media support personalized learning. Media evaluated from the aspect of media, materials, and operations. This study uses research and development (R & D) includes five stages of the analysis, design, development, testing, and implementation. The impact of media in learning is based on improving learning achievement in the subject matter the number system in one of the high school. Educational learning success with this game is also based on students' responses in the form of testimony. The research result is a media that meet the application eligibility media aspect average of 87.61%, material aspects of 87.22%, and operational aspects of 81.67% with excellent qualifications. Learning outcomes are a significant improvement in student achievement showed with a gain of 0.61. Learning students' response to positive states with testimonasi 23% stated very agree, 72% agree, and a small portion of 5% disagree. Generally eduacational game developed using a personal approach through a Facebook Apps can be exhibited significantly improve learning outcomes with learning fun.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127379930","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

A study of factors that affect consumer loyalty in automotive financing company based on structural equation modeling and text mining 基于结构方程建模和文本挖掘的汽车金融公司消费者忠诚度影响因素研究

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257090

Aninda Maharani, I. Surjandari, Sya'bandi Doli, E. Muslim, Adila Afifah

{"title":"A study of factors that affect consumer loyalty in automotive financing company based on structural equation modeling and text mining","authors":"Aninda Maharani, I. Surjandari, Sya'bandi Doli, E. Muslim, Adila Afifah","doi":"10.1109/ICSITECH.2017.8257090","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257090","url":null,"abstract":"The economy of Indonesia has been growing by leap and bound, and large portion of the population are shifting from lower-class consumer into the middle-class and affluent consumer socioeconomic category. That condition increases the purchasing power of middle-class consumer over the goods, including automotive products. In consequence, all of automotive products sales have increased significantly from 2009 until 2013. The raising number of automotive products sales in Indonesia was followed by the growth of consumer financing. From 2009 until 2013, 26 new business licenses have been established. As competition in the financing industry is getting tight, the financing companies have to conduct some efforts in order to retain its customer loyalty. Customer loyalty is important for business sustainability. The Structural Equation Modeling (SEM) and Self-Organizing Map (SOM) approach are applied to find factors affecting customer loyalty. Consumer's concern based on aspirations and complaints were then identified by using text-mining. SOM will cluster the aspirations and complaints of the customers into several groups. Consumer satisfaction affects customer loyalty and it also directly affected by consumer perceived value. The contribution of this research is combining structural equation modeling with text mining.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133695101","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

A proposed framework: Group-based image analysis to enhance accuracy of image classification for tumor diagnostic 提出了一种基于分组的图像分析框架，以提高肿瘤诊断图像分类的准确性

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257165

Mazniha Berahim, N. Samsudin, Shelena Soosay Nathan

{"title":"A proposed framework: Group-based image analysis to enhance accuracy of image classification for tumor diagnostic","authors":"Mazniha Berahim, N. Samsudin, Shelena Soosay Nathan","doi":"10.1109/ICSITECH.2017.8257165","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257165","url":null,"abstract":"Accurate diagnostic of tumor is crucial to reduce unnecessary number of biopsies and surgeries. Thereby, an enhancement of classification technique is required to accommodate multiple images (from multi-view) automated diagnostic. Moreover, it will be beneficial for radiologist during diagnostic procedures. Studies underlying Multi-Instance (MI) problem were reviewed, and it is found that there exist few studies discuses on collective approach by combining multi-instances for bag-level decision. However, there is none focuses on purely bag level decision which has been main focus of this study. In conventional approach, an issue occurred when an instance in a bag give negative label even it may contain a very small portion to be a positive label. This decision will be improved if represent corresponding to the complete image from collective information from all instances. A preliminary experiment was conducted using conventional techniques. It proved that single level decision acquired ‘not good’ performance need to be improved. Thus, a new framework using group-based image analysis strategy is proposed. This framework is aimed for extend conventional classification algorithms to meet the image analysis needs and improvising the accuracy of tumor diagnostic.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"2005 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131533202","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

Image enhancement using piecewise linear contrast stretch methods based on unsharp masking algorithms for leather image processing 基于非锐化掩蔽算法的分段线性对比度拉伸图像增强

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257197

Murinto, S. Winiarti, Dewi Pramudi Ismi, A. Prahara

{"title":"Image enhancement using piecewise linear contrast stretch methods based on unsharp masking algorithms for leather image processing","authors":"Murinto, S. Winiarti, Dewi Pramudi Ismi, A. Prahara","doi":"10.1109/ICSITECH.2017.8257197","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257197","url":null,"abstract":"This research work proposes a novel method to improve quality of animal leather images using digital image processing approach. In this work, piecewise linear contrast stretch based on unsharp masking algorithm is employed for image enhancement. The proposed method minimizes contrast problem. Experiments had been done on four categories of animal leather images namely crocodile leather, monitor lizard leather, cow leather and goat leather. The proposed method was then compared with other piecewise linear transforms based image enhancement techniques including intensity level slicing, bit plane slicing and contrast stretching methods. PSNR, MSE and SSIM values were obtained by using our proposed method and our proposed method produced better result. The values of PSNR when using piecewise linear contrast stretch unsharp masking (PLCSUS) respectively for crocodile leather, monitor lizard leather, cow leather and goat leather are 30.06 dB, 18.97 dB, 20.66 dB and 14.73 dB. This value is higher when compared to using other methods on the same image. Experiments show that our proposed method is better compared to conventional methods with respect to special characteristics of animal leather to be used as raw materials of artworks.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134280989","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