Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology最新文献_第3页

Implementation of WLRU algorithm to improve scalability in software defined network 实现WLRU算法，提高软件定义网络的可扩展性

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI: 10.1145/3427423.3427444

H. Nurwarsito, Aryadna Nareindra

{"title":"Implementation of WLRU algorithm to improve scalability in software defined network","authors":"H. Nurwarsito, Aryadna Nareindra","doi":"10.1145/3427423.3427444","DOIUrl":"https://doi.org/10.1145/3427423.3427444","url":null,"abstract":"Packet forwarding in a Software Defined Network (SDN) architecture was conducted by a matching process between packet information with flow entry. Network traffic with multiple IP or MAC addresses will increase the number of flow entry insertion and may result in the flow table on the switch running out of space for new flow entry. Flow table overflow that occurred will decrease network scalability in packet forwarding. This study implemented the Weighted Least Recently Used (WLRU) algorithm in the flow table's entry management process to prevent flow table overflow conditions and reduce the number of repeated insertions for an entry. The implementation was conducted using a single linked list data structure and Snort as a packet monitoring. The entry management implementations using the WLRU algorithm successfully overcame the flow table overflow conditions and improved network scalability by being able to forward up to 402 packets, which means 4 times more than before, that only 97 packets. In trade-off overcame the flow table overflow condition, the WLRU algorithm affected the RTT delay value with a minimum value of 19.54 milliseconds, a maximum value of 1607.40 milliseconds, and an average value 195.72 milliseconds.","PeriodicalId":120194,"journal":{"name":"Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129837237","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

Comparison of image thresholding and clustering segmentation methods for understanding nutritional content of food images 图像阈值分割和聚类分割方法在理解食品图像营养成分方面的比较

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI: 10.1145/3427423.3427441

Y. A. Sari, V. Saputra, Andini Agustina, Yudi Arimba Wani, Yusuf Gladiesnyah Bihanda

引用次数: 5

Android malware classification based on permission categories using extreme gradient boosting Android恶意软件分类基于权限类别使用极端梯度提升

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI: 10.1145/3427423.3427427

Togu Novriansyah Turnip, Amsal Situmorang, A. Lumbantobing, Josua Marpaung, S. Situmeang

引用次数: 2

Detection of cyber harassment (cyberbullying) on Instagram using naïve bayes classifier with bag of words and lexicon based features 使用naïve基于词袋和基于词汇的特征的贝叶斯分类器检测Instagram上的网络骚扰(网络欺凌)

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI: 10.1145/3427423.3427436

P. P. Adikara, Sigit Adinugroho, Salsabila Insani

{"title":"Detection of cyber harassment (cyberbullying) on Instagram using naïve bayes classifier with bag of words and lexicon based features","authors":"P. P. Adikara, Sigit Adinugroho, Salsabila Insani","doi":"10.1145/3427423.3427436","DOIUrl":"https://doi.org/10.1145/3427423.3427436","url":null,"abstract":"Instagram is a very popular social media across the world, with varied users from teenagers to adults. By using Instagram people are able to share photos or videos through social networks. Instagram also provides a lot of features, one of the features is the comment section. However, there are so many Instagram users who make social media as a platform to harass others. Bullying or harassing can affect the psychological condition and in the extreme condition can drive people to suicide. The focus of this research is to detect cyberbullying on Instagram comment into two classes, one is classified as cyberbullying and the other is non-cyberbullying. If we can successfully detect cyberbullying comment, it should help to prevent the cyberbullying act before it happens. The detection process consists of several steps, starts with preprocessing, followed by feature extraction, and the last is classification or in this case, cyberbullying detection. In this research, Naïve Bayes classifier with Bag of Words and Lexicon based features is employed to detect the cyberbullying. The Bag of Words features are extracted from the terms occurred in the comment and Lexicon-based features are extracted by using a dictionary or commonly known as sentiment lexicon. Since Indonesian is a low resource language, it is interesting and challenging to investigate this topic by using Indonesian dataset. In this experiment, the highest evaluation results are obtained by combining Bag of Word features and Lexicon-based features than using the features independently. We use 5-fold cross-validation and the system yields accuracy 0.872, precision 0.948, recall 0.824, and f-measure 0.874.","PeriodicalId":120194,"journal":{"name":"Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132121115","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

Integrated DLT and non-DLT system design for central bank digital currency 中央银行数字货币集成DLT和非DLT系统设计

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI: 10.1145/3427423.3427447

Danarto Tri Sasongko, S. Yazid

引用次数: 5

Diagnosis of fever symptoms using naive bayes algorithm 应用朴素贝叶斯算法诊断发热症状

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI: 10.1145/3427423.3427426

Triyanna Widiyaningtyas, I. Zaeni, Nadiratin Jamilah

引用次数: 3

A comparative analysis of usability evaluation methods of academic mobile application: are four methods better? 学术移动应用可用性评价方法比较分析:四种方法是否更好?

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI: 10.1145/3427423.3427435

Sabda Norman Hayat, F. Ramdani

{"title":"A comparative analysis of usability evaluation methods of academic mobile application: are four methods better?","authors":"Sabda Norman Hayat, F. Ramdani","doi":"10.1145/3427423.3427435","DOIUrl":"https://doi.org/10.1145/3427423.3427435","url":null,"abstract":"Usability evaluation is an important element which has used to add on insights related to the usability problem of an application. This study aims to identify application's usability problems and to compare the effectiveness of four evaluation methods which has used on an academic portal mobile application: usability testing, interviews, surveys, and heuristic evaluation. The data has collected from users who are in the student category and expert evaluator. The number detail of respondents used are usability testing (N = 10), interviews (N = 10), surveys (N = 110), and heuristic evaluation (N = 3). The four methods identified a total of 44 usability problems: 45% using heuristic evaluation, 24% using surveys, 17% using interviews and 14% using usability testing, resulting into a few similar findings. Then, The problems are categorized using Usability Taxonomy Problem (UPT) which has divided into 5 categories with details of 17 categories of visualness, 6 categories of language, 3 categories of manipulation, 11 categories of task-mapping and 7 others including the category of task-facilitation. The results of this study are capable to prove that the four methods are complementary, each method provides a unique insight to improve the usability of the application user interface. Both researchers recommend using a multi-method approach when evaluating the usability of an application due to it could provide a more comprehensive representation of usability issues.","PeriodicalId":120194,"journal":{"name":"Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116410664","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

Major choosing decision support system with talent interest approach using SWRL and SAW method 基于SWRL和SAW方法的人才兴趣选择决策支持系统

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI: 10.1145/3427423.3427445

D. Wardani, Ryhannul Jannah, Haryono Setiadi

{"title":"Major choosing decision support system with talent interest approach using SWRL and SAW method","authors":"D. Wardani, Ryhannul Jannah, Haryono Setiadi","doi":"10.1145/3427423.3427445","DOIUrl":"https://doi.org/10.1145/3427423.3427445","url":null,"abstract":"Students who are majoring in college that are not following their interests will have difficulty in adapting. Psychologically, to learn things that are not by your interests and abilities will lead to emotion blockage, which then blocks the effectiveness of brain performance. This issue will have an impact on the inhibition of learning motivation and achievement of academic performance. To avoid these problems, a diagnosis of career interests, including interests and needs to be done as an initial process of further study planning interventions to support career decisions making in individuals. Therefore, this research builds a Decision Support System with the Talent Interest Test approach to help users find college majors that suit their interests and abilities. This study uses the SAW method and SWRL reasoning. The results of this study indicate that the implementation of this approach in a Department Selection Decision Support System with Talent Interest Approach can provide an alternative that is in line with the interest of undergraduate student candidates with the compatibility level of Agree (95.31%) and Disagree (4.69%).","PeriodicalId":120194,"journal":{"name":"Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127258504","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

Innovation of smart-curriculum model through campus-school-industry synchronization for vocational learning in the era of education 4.0 教育4.0时代职业学习的校业同步智能课程模式创新

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI: 10.1145/3427423.3427439

A. Putra, A. Mukhadis, S. Sumarli, E. Sutadji, P. Puspitasari, M. S. Subandi

{"title":"Innovation of smart-curriculum model through campus-school-industry synchronization for vocational learning in the era of education 4.0","authors":"A. Putra, A. Mukhadis, S. Sumarli, E. Sutadji, P. Puspitasari, M. S. Subandi","doi":"10.1145/3427423.3427439","DOIUrl":"https://doi.org/10.1145/3427423.3427439","url":null,"abstract":"The problem is, in vocational education the skills needs of job demands continue to change rapidly. In vocational education, learning is designed to keep up with the latest needs and phenomena in the industry. That is what makes it difficult for most educational institutions to keep up with technological developments in industry. This study aims to: 1) mapping the components of the relevance of skills; 2) mapping the teaching skills component; and 3) test the attractiveness of the innovation of smart-curriculum model through campus-school-industry synchronization. This research uses research and development (R&D) methods. Data collection techniques through questionnaires and interviews. The research is focused on vocational colleges in East Java. The results of this study include: 1) the needs components of relevance skills consist of analyze situations (77,52%), maintain integrity abilities (84,20%), work focus abilities (84,06%), and information hunting abilities (91,34%); 2) the component needs of teaching skills consist of presenting media abilities (98,44%), asking facts abilities (80,92%), stimulus variations ability (88,20%), and manipulating class abilities (91,34%); and 3) the smart-curriculum model through campus-school-industry synchronization developed is feasible and attractive (average score 92%).","PeriodicalId":120194,"journal":{"name":"Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129753037","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

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI: 10.1145/3427423.3427425

Noor Ifada, Ummamah, M. Kautsar

{"title":"Hybrid popularity model for solving cold-start problem in recommendation system","authors":"Noor Ifada, Ummamah, M. Kautsar","doi":"10.1145/3427423.3427425","DOIUrl":"https://doi.org/10.1145/3427423.3427425","url":null,"abstract":"This research proposes a new hybrid popularity model for solving the cold-start problem in the recommendation system. A cold-start problem arises when the target user has no rating history in the system. A hybrid popularity model combines the benefit of both the user and item popularities. The item popularity model assumes that a target user is most expected to like the top-rated items. Whereas the user popularity model presumes that a target user is likely to be influenced by the top users who have given a large number of ratings. Naturally, our proposed HPop model is built in three phases: item popularity, user popularity, and hybrid popularity. The ratio of the item and user popularities are controlled by the use of α. We use the Normalized Discounted Cumulative Gain (NDCG), as well as Precision and Recall metrics to evaluate the performance of our model and its counterparts, i.e., IPop and UPop. Using a real-world MovieLens dataset, our experiments show that the employment of the user popularity model is always more beneficial than the item popularity model. HPop performs best when α = 0.9 and worst when α = 1. The NDCG average of increases from HPop to IPop and UPop are respectively 12.22% and 8.02%. The results in terms of Precision-Recall also show a similar trend to those of NDCG. Hence, we conjecture that the performances of HPop, IPop, and UPop are stable in any evaluation metrics.","PeriodicalId":120194,"journal":{"name":"Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126445617","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