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2018 International Conference on Applied Information Technology and Innovation (ICAITI)最新文献

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2018 International Conference on Applied Information Technology and Innovation (ICAITI) Pub Date : 2018-09-01 DOI: 10.1109/icaiti.2018.8686750
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引用次数: 0
The Impact of Perceived Usefulness and Perceived Ease of Use on Student's Performance in Mandatory E-Learning Use 感知有用性和感知易用性对学生强制性使用电子学习表现的影响
2018 International Conference on Applied Information Technology and Innovation (ICAITI) Pub Date : 2018-09-01 DOI: 10.1109/ICAITI.2018.8686742
Mahendra Adhi Nugroho, Patriani Wahyu Dewanti, Budi Tiara Novitasari
{"title":"The Impact of Perceived Usefulness and Perceived Ease of Use on Student's Performance in Mandatory E-Learning Use","authors":"Mahendra Adhi Nugroho, Patriani Wahyu Dewanti, Budi Tiara Novitasari","doi":"10.1109/ICAITI.2018.8686742","DOIUrl":"https://doi.org/10.1109/ICAITI.2018.8686742","url":null,"abstract":"This research raises the issue related to perceived usefulness and perceived ease of use impact on performance when a system is mandatory implemented. This research tested the impact of perceived usefulness and perceived ease of use in the use of mandatory e-learning in relation to the students' performance. The sample included 247 students participating in classes adopting e-learning. To gather the data, online questionnaire is distributed to the sample. Furthermore, the gathered data is analyzed by using Partial Least Square (PLS). The research result indicated that all hypotheses are rejected. Based on the hypothesis testing, perceived usefulness does not affect students' performance, indicated with its P-value 0.8561 (H1). Also, perceived ease of use does not affect students' performance, indicated with its P-value 0.4466 (H2). Based on the hypothesis testing, it is concluded that when there is an obligation to utilize the implemented system, perceived of usefulness and perceived ease of use do not affect the user's performance.","PeriodicalId":233598,"journal":{"name":"2018 International Conference on Applied Information Technology and Innovation (ICAITI)","volume":"4 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114006876","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
Comparison between Fuzzy Kernel C-Means and Sparse Learning Fuzzy C-Means for Breast Cancer Clustering 模糊核c -均值与稀疏学习模糊c -均值在乳腺癌聚类中的比较
2018 International Conference on Applied Information Technology and Innovation (ICAITI) Pub Date : 2018-09-01 DOI: 10.1109/ICAITI.2018.8686707
Ajeng Leudityara Fijri, Zuherman Rustam
{"title":"Comparison between Fuzzy Kernel C-Means and Sparse Learning Fuzzy C-Means for Breast Cancer Clustering","authors":"Ajeng Leudityara Fijri, Zuherman Rustam","doi":"10.1109/ICAITI.2018.8686707","DOIUrl":"https://doi.org/10.1109/ICAITI.2018.8686707","url":null,"abstract":"One of cancers which causes of death among woman in worldwide is breast cancer. It can detected by screening in breast and routine blood analysis. Thats important to assure a greater treatment to reduce the cells of cancer. In this paper, experiments was carried out using Coimbra breast cancer dataset to classify the breast cancer as healthy controls and patients. We used sparse learning fuzzy c-means (SLFCM) clustering method and fuzzy kernel c-means (FKCM) for the compare method. The result of SLFCM give higher accuracy diagnostic than FKCM but, SLFCM need more time to get accuracy results than FKCM.","PeriodicalId":233598,"journal":{"name":"2018 International Conference on Applied Information Technology and Innovation (ICAITI)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114405790","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: 7
Public Sentiment on Political Campaign Using Twitter Data in 2017 Jakarta's Governor Election 2017年雅加达省长选举中使用Twitter数据的政治运动的民意
2018 International Conference on Applied Information Technology and Innovation (ICAITI) Pub Date : 2018-09-01 DOI: 10.1109/ICAITI.2018.8686740
Mardeni Mihardi, I. Budi
{"title":"Public Sentiment on Political Campaign Using Twitter Data in 2017 Jakarta's Governor Election","authors":"Mardeni Mihardi, I. Budi","doi":"10.1109/ICAITI.2018.8686740","DOIUrl":"https://doi.org/10.1109/ICAITI.2018.8686740","url":null,"abstract":"The campaign period is the time when candidates introduce themselves to the public and socialize their vision and mission. Some media, including social media, can be used as a medium for campaigning. To know the public view of political campaigns can use sentiment analysis using Twitter data. This research analyzes public sentiment toward the political campaign for candidate pair of a governor and vice governor of DKI Jakarta in 2017. We use sentiStrength, a program using the lexicon-based approach as a classification method. We classify each tweet into three classes: positive, negative, and neutral classes. The results show that, in general, positive sentiments dominates negative sentiments for each candidate for governor and vice governor. The results also show that the positive sentiments of all pairs have the same sequence as the election results.","PeriodicalId":233598,"journal":{"name":"2018 International Conference on Applied Information Technology and Innovation (ICAITI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124433838","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
Nonlinear Modeling of IHSG with Artificial Intelligence 基于人工智能的IHSG非线性建模
2018 International Conference on Applied Information Technology and Innovation (ICAITI) Pub Date : 2018-09-01 DOI: 10.1109/ICAITI.2018.8686702
Mutia Yollanda, D. Devianto, H. Yozza
{"title":"Nonlinear Modeling of IHSG with Artificial Intelligence","authors":"Mutia Yollanda, D. Devianto, H. Yozza","doi":"10.1109/ICAITI.2018.8686702","DOIUrl":"https://doi.org/10.1109/ICAITI.2018.8686702","url":null,"abstract":"Artificial Intelligence is the simulation of human intelligence processes by computer systems which can be used to model stock prices. Learning algorithms of artificial neural network used to train the network so far the weight of connection inter units can be suitable with error which have determined. The back propagation method is designed as operation of feed-forward network with multiple layers in order that the result of the weights is nonlinear. Nonlinear weights make a nonlinear model in artificial neural network. Time series data of Composite Stock Prices Index (IHSG) is trained using back propagation method in artificial neural network until error which is obtained in weights of the network become very small. The weights is used to model IHSG. Performance rate of time series data model of IHSG which started on January 2016 until December 2017 is measured using Mean Absolute Percentage Error (MAPE). Based on MAPE value of 1.74528596% indicates that the model obtained is very good used to forecast IHSG in the future.","PeriodicalId":233598,"journal":{"name":"2018 International Conference on Applied Information Technology and Innovation (ICAITI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132101136","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: 9
Enterprise Based Review on PPK BLU 基于企业的PPK BLU评价
2018 International Conference on Applied Information Technology and Innovation (ICAITI) Pub Date : 2018-09-01 DOI: 10.1109/ICAITI.2018.8686760
Trimanadi, Raden
{"title":"Enterprise Based Review on PPK BLU","authors":"Trimanadi, Raden","doi":"10.1109/ICAITI.2018.8686760","DOIUrl":"https://doi.org/10.1109/ICAITI.2018.8686760","url":null,"abstract":"Enterprise engineering has become one popular concept to improve an organization. Many governments have started to implement this concept in their own way. PPK BLU as a unit inside Indonesian Government Institution which got a mandatory from the Ministry of Finance to manage their own state financial, has effectiveness and efficiency as main principals in operation. In this paper, should be explained how implementation of the enterprise concept can improve their efficiency and effectiveness. As a result is a review report about how to implement this concept and bring improvement to the organization. On regard their uniqueness, this proposal should be different depend on the kind of PPK BLU unit. As a study case, has been chosen a PPK BLU unit to be studied and assess it with the hope that it can be used as reference for other researcher to implement enterprise concept on a PPK BLU.","PeriodicalId":233598,"journal":{"name":"2018 International Conference on Applied Information Technology and Innovation (ICAITI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133496541","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
Privacy Control for Personally Identifiable Information on the Information System (Case Study:XYZ Organization) 信息系统中个人身份信息的隐私控制(案例研究:XYZ组织)
2018 International Conference on Applied Information Technology and Innovation (ICAITI) Pub Date : 2018-09-01 DOI: 10.1109/ICAITI.2018.8686766
Fajar Pradana, Nanang Trianto
{"title":"Privacy Control for Personally Identifiable Information on the Information System (Case Study:XYZ Organization)","authors":"Fajar Pradana, Nanang Trianto","doi":"10.1109/ICAITI.2018.8686766","DOIUrl":"https://doi.org/10.1109/ICAITI.2018.8686766","url":null,"abstract":"Based on Indonesian regulations, organizations that manage personal data must implement internal policies in protecting and securing personal data. In providing personal data protection can be done by identifying the impact level of information to be mapped to Security and Privacy Control of NIST SP800-53. XYZ Organization is one of the organizations that manage personal data in Indonesia. The result of impact level identification indicates that the confidentiality aspect has a high impact, the integrity aspect has a moderate impact, and the availability aspect has a high impact. So as a whole, the system implemented by the XYZ Organization has a high category. Based on the Security and Privacy Control mapping of the Draft NIST SP800-53 revision 5, 57 controls are related to privacy. Privacy Control results can be made a recommendation in the process of formulating a policy of personal data protection on XYZ Organization. The result of Privacy Control is still baseline. In the future, it can be done in detail for the overall Privacy Control so it is more comprehensive.","PeriodicalId":233598,"journal":{"name":"2018 International Conference on Applied Information Technology and Innovation (ICAITI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116768197","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 Halal Logo Classification by Using NVIDIA DIGITS 使用NVIDIA数字的清真标志分类
2018 International Conference on Applied Information Technology and Innovation (ICAITI) Pub Date : 2018-09-01 DOI: 10.1109/ICAITI.2018.8686730
Hendrick, Chih-Min Wang, Aripriharta, Ciou-Guo Jhe, Ping-Chong Tsu, G. Jong
{"title":"The Halal Logo Classification by Using NVIDIA DIGITS","authors":"Hendrick, Chih-Min Wang, Aripriharta, Ciou-Guo Jhe, Ping-Chong Tsu, G. Jong","doi":"10.1109/ICAITI.2018.8686730","DOIUrl":"https://doi.org/10.1109/ICAITI.2018.8686730","url":null,"abstract":"Deep learning has a rapid development in image processing application such as face detection, face recognition, object detection and also gesture detection. The other application of deep learning is in the identification of the traffic signs, logo and characters. For Muslim, the halal logo is important to identify before buying some products. The Halal logo is not the same for every country. Both Halal logo Indonesia and Taiwan are different. In this research, the deep learning was applied to classify the halal logo. The classification is based on the caffe framework with GoogleLeNet architecture. As datasets, the halal logo and soft drink logo were created. The purpose of this study is to produce a deep learning pre-trained model of the halal logo. The pre-trained model will be implemented in mobile phone application in halal logo identification. The accuracy of the deep learning pre-trained model is 81.7 %.","PeriodicalId":233598,"journal":{"name":"2018 International Conference on Applied Information Technology and Innovation (ICAITI)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128991546","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
Hierarchical Clustering Linkage for Region Merging in Interactive Image Segmentation on Dental Cone Beam Computed Tomography 基于层次聚类链接的牙锥束计算机断层交互式图像分割区域合并
2018 International Conference on Applied Information Technology and Innovation (ICAITI) Pub Date : 2018-09-01 DOI: 10.1109/ICAITI.2018.8686738
A. Arifin, Maryamah, S. Arifiani, A. Fariza, D. A. Navastara, R. Indraswari
{"title":"Hierarchical Clustering Linkage for Region Merging in Interactive Image Segmentation on Dental Cone Beam Computed Tomography","authors":"A. Arifin, Maryamah, S. Arifiani, A. Fariza, D. A. Navastara, R. Indraswari","doi":"10.1109/ICAITI.2018.8686738","DOIUrl":"https://doi.org/10.1109/ICAITI.2018.8686738","url":null,"abstract":"Interactive image segmentation has a better result than the automatic and manual image segmentation because a user can help the image segmentation algorithm by marking the sample of background and object in the image. The algorithm will merge the regions in the image based on the user marking. In interactive image segmentation, the calculation of the distance between regions and the sequence of the merging process is important to obtain an accurate segmentation result. In this paper, we proposed a new region merging strategy using hierarchical clustering based on interclass and intra-class variances for each region and neighborhood relationship. This research aims to improve the region merging strategy and it is expected to result better than the previous research that did not implement the hierarchical clustering. The process to segment an image concludes splitting the image into several regions, user marking to mark the sample of background and object, merging the region that is not marked by the user using the hierarchical clustering until the image fully segmented. The experimental results on dental cone beam computed tomography data show that the proposed method gives a more effective and efficient result in the segmentation process.","PeriodicalId":233598,"journal":{"name":"2018 International Conference on Applied Information Technology and Innovation (ICAITI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121258770","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: 3
Clustering Arrhythmia Multiclass Using Fuzzy Robust Kernel C-Means (FRKCM) 基于模糊鲁棒核c均值(FRKCM)聚类心律失常多类
2018 International Conference on Applied Information Technology and Innovation (ICAITI) Pub Date : 2018-09-01 DOI: 10.1109/ICAITI.2018.8686747
N. Shandri, Zuherman Rustam
{"title":"Clustering Arrhythmia Multiclass Using Fuzzy Robust Kernel C-Means (FRKCM)","authors":"N. Shandri, Zuherman Rustam","doi":"10.1109/ICAITI.2018.8686747","DOIUrl":"https://doi.org/10.1109/ICAITI.2018.8686747","url":null,"abstract":"Irregularities in the rhythm of the heartbeat is known for arrhythmias. Which sometimes may occur sporadically in daily life. In this paper, Arrhythmia clustering proposed using Fuzzy robust kernel c-means to multiclass data Arrhythmia from the UCI machine learning repository. Kernel functions that will be used for this paper is RBF kernel and Polynomial kernel. A clustering algorithm can organize a set groups data objects into various clusters so that the data within the same cluster have high similarity in comparison to one another. Based on the experiments, it provides high clustering accuracy and effective diagnostic capabilities.","PeriodicalId":233598,"journal":{"name":"2018 International Conference on Applied Information Technology and Innovation (ICAITI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116734587","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
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