2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)最新文献_第10页

Implementation of Algorithm Rabin-Karp for Thematic Determination of Thesis 论文主题确定Rabin-Karp算法的实现

2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2019-11-01 DOI: 10.1109/ICITISEE48480.2019.9003867

Ainul Yaqin, Akhmad Dahlan, Reno Diandika Hermawan

{"title":"Implementation of Algorithm Rabin-Karp for Thematic Determination of Thesis","authors":"Ainul Yaqin, Akhmad Dahlan, Reno Diandika Hermawan","doi":"10.1109/ICITISEE48480.2019.9003867","DOIUrl":"https://doi.org/10.1109/ICITISEE48480.2019.9003867","url":null,"abstract":"Thesis / scientific work is a science composition that presents facts and is written according to a good and correct writing methodology. But to find out what the theme discussed should read the abstract of the essay. Along with the development of information technology that offers convenience for human labor in simplification of his work. Difficulty in determining the theme in the thesis can be aided with applications that are able to set themes based on abstract. To make the application of thesis thematic determination can use string matching algorithm, one of string matching algorithm is Rabin-Karp algorithm by doing string matching based on the hash value on text and hash value in a pattern. The Rabin-Karp algorithm is often used to detect plagiarism text document, comparing the overall hash value of k-gram contained in all text documents, then deciding the degree of similarity. Then it can be concluded that Rabin-Karp is able to string a text as a whole, from this the researcher is interested in proving what if the Rabin-Karp algorithm is implemented in the classification field wherein in this study it is used to string matching each word or keyword refers to the theme of an Indonesian essay or thesis abstract. The application is built using web programming language PHP and MySQL database. The confusion matrix is used to determine accuracy, obtained 88% and 12% for misclassification rates.","PeriodicalId":380472,"journal":{"name":"2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131793179","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

Evaluate Number of LED on Reflector Room for Optical Wireless Communication 光无线通信反射室LED数量评估

2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2019-11-01 DOI: 10.1109/ICITISEE48480.2019.9003994

Dyndra Anindita Ramadhanti, K. Sujatmoko, Brian Pamukti

引用次数: 0

An optimization of a Lexicon Based Sentiment Analysis Method on Indonesian App Review 基于词汇库的印尼语应用评论情感分析方法优化

2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2019-11-01 DOI: 10.1109/ICITISEE48480.2019.9003900

B. T. Pratama, Ema Utami, A. Sunyoto

{"title":"An optimization of a Lexicon Based Sentiment Analysis Method on Indonesian App Review","authors":"B. T. Pratama, Ema Utami, A. Sunyoto","doi":"10.1109/ICITISEE48480.2019.9003900","DOIUrl":"https://doi.org/10.1109/ICITISEE48480.2019.9003900","url":null,"abstract":"Over the past years, the popularity of mobile applications (or known as mobile apps) is continuously growing from year to year in the last decade. The development of mobile apps now becomes a part of business activity. It is essential for each developers to understand the users’ need to keep their users on using their app. Sentiment analysis or opinion mining is an approach that can be used to analyze and conclude the opinion of the users of mobile apps. Recent method using lexicon based approach which is proposed by the previous study still has poor performance and still can be improved. There are two optimization chances that can be explored: lexicon resource usage evaluation and the application of domain specific features. This study tries to explore these two optimization chances in order to improve and optimize the method proposed by the previous study. The result shows that SentiWordNet can outperform other lexicon resources and the additional of domain specific features has a good impact on the performance of the classifier both on overall accuracy and f-measure average evaluation parameters compared to not only the results of this study but also compared to the result of the previous study.","PeriodicalId":380472,"journal":{"name":"2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124631207","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

Welcome Message from ICITISEE 2019 General Chair 2019年icitissee大会主席致欢迎辞

2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2019-11-01 DOI: 10.1109/icitisee48480.2019.9003888

引用次数: 0

Fingerprint Presence Fraud Detection Using Tight Clustering on Employee’s Presence and Activity Data 基于员工在场和活动数据的指纹在场欺诈检测

2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2019-11-01 DOI: 10.1109/ICITISEE48480.2019.9003914

I. Kamil, B. Pharmasetiawan

引用次数: 1

QIM-based Audio Watermarking using Polar-based Singular Value in DCT Domain 基于qim的DCT域极奇异值音频水印

2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2019-11-01 DOI: 10.1109/ICITISEE48480.2019.9003921

Allwinnaldo, Gelar Budiman, L. Novamizanti, Revin Naufal Alief, Muhammad Rasyid Redha Ansori

{"title":"QIM-based Audio Watermarking using Polar-based Singular Value in DCT Domain","authors":"Allwinnaldo, Gelar Budiman, L. Novamizanti, Revin Naufal Alief, Muhammad Rasyid Redha Ansori","doi":"10.1109/ICITISEE48480.2019.9003921","DOIUrl":"https://doi.org/10.1109/ICITISEE48480.2019.9003921","url":null,"abstract":"This paper presents an audio watermarking scheme that ensures the efficient of robustness-distortion ratio and a pleasing amount of capacity. Quantization Index Modulation (QIM) method synergism along with Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT), Singular Value Decomposition (SVD), and Cartesian to Polar Transformation (CPT) to emphasize copyright protection for harmonical work of art. DWT synergism along with DCT, SVD, and CPT to emphasize copyright protection for harmonical work of art. The system establishes with DWT that divides the signal within a specific range of frequency, alter it to the frequency domain by DCT, partite with mathematical processing SVD, and transform the peculiar value of matrix-S to polar value using CPT, furthermore, QIM embed the watermark into the angular value from the CPT. The system performance is astonishing, tested using 4 different audio host signal and evaluated considers to desirable Bit Error Rate (BER) <0.025, Signal-to-Noise Ratio (SNR)>21dB, a great amount of data payload that is 525 bit per second, and the noise caused by watermark is inaudible. All of the experiments, trials, and results show that the designed audio watermarking system is robust and imperceptible.","PeriodicalId":380472,"journal":{"name":"2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124306485","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

Decision Support System for Boarding house Search Using Topsis Algorithm 基于Topsis算法的公寓搜索决策支持系统

2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2019-11-01 DOI: 10.1109/ICITISEE48480.2019.9003977

Ainul Yaqin, Akhmad Dahlan, Tonny Hidayat, Reza Mardiansyah Putra

引用次数: 0

Analysis of the Effect of Security and Trust on Buying Decision On the Tokopedia Mobile Apps 安全与信任对Tokopedia移动应用购买决策的影响分析

2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2019-11-01 DOI: 10.1109/ICITISEE48480.2019.9003846

E. Chandra, Stefanie Liu, Sfenrianto Sfenrianto, Gunawan Wang

引用次数: 3

ICITISEE 2019 Technical Program Committee 2019年icitissee技术项目委员会

2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2019-11-01 DOI: 10.1109/icitisee48480.2019.9003767

引用次数: 0

Optimization of Weight Backpropagation with Particle Swarm Optimization for Student Dropout Prediction 基于粒子群算法的权值反向传播算法在学生退学预测中的应用

2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2019-11-01 DOI: 10.1109/ICITISEE48480.2019.9004032

Eka Yulia Sari, Kusrini, A. Sunyoto

{"title":"Optimization of Weight Backpropagation with Particle Swarm Optimization for Student Dropout Prediction","authors":"Eka Yulia Sari, Kusrini, A. Sunyoto","doi":"10.1109/ICITISEE48480.2019.9004032","DOIUrl":"https://doi.org/10.1109/ICITISEE48480.2019.9004032","url":null,"abstract":"Students who drop out of school are the cases that should be of concern in college. An uncontrollable decline affects the quality of the university. Dropout could happen for a variety of reasons, one of which has carried out a maximum study period. The Undergraduate program has a maximum finished within less than eight years. In this study, student dropouts prediction was conducted for students who had the possibility of exceeding the maximum study period. The predictions are made by digging the data patterns in the student’s academic database by utilizing the Academic Achievement index data of each semester and class attendance. This research aims to accelerate training and improve the accuracy of predictions with backpropagation (BP) optimized with particle swam optimization (PSO). Evaluation of the classification model is done with 10 fold cross-validation, where the data are divided into 10 fold, and the test is done 10 x until the highest accuracy is obtained. Further accuracy results was compared with a simple backpropagation algorithm without optimization. The algorithm of backpropagation, which is optimized with particle swarm optimization, produces the best accuracy of 100% with 6 epoch. Meanwhile, the backpropagation algorithm generates an accuracy rate of 77.78% with 17 epoch. The highest accuracy gained using the best architecture is 8-8-1 and the number of particles 10. Optimization of a network weight backpropagation with particle swarm optimization can improve the accuracy and number of decreased iterations","PeriodicalId":380472,"journal":{"name":"2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121086239","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