IJCCS Indonesian Journal of Computing and Cybernetics Systems最新文献_第10页

Covid-19 Hoax Detection Using KNN in Jaccard Space 在Jaccard空间中使用KNN检测新冠肺炎恶作剧

IJCCS Indonesian Journal of Computing and Cybernetics Systems Pub Date : 2021-07-31 DOI: 10.22146/IJCCS.67392

Ema Utami, A. Iskandar, Wahyu Hidayat, Agung Budi Prasetyo, A. D. Hartanto

引用次数: 0

Decision Support System for Laptop Selection Using AHP Method and Profile Matching 基于AHP法和轮廓匹配的笔记本电脑选型决策支持系统

IJCCS Indonesian Journal of Computing and Cybernetics Systems Pub Date : 2021-07-31 DOI: 10.22146/IJCCS.67811

Muhammad Mukharir, Retantyo Wardoyo

{"title":"Decision Support System for Laptop Selection Using AHP Method and Profile Matching","authors":"Muhammad Mukharir, Retantyo Wardoyo","doi":"10.22146/IJCCS.67811","DOIUrl":"https://doi.org/10.22146/IJCCS.67811","url":null,"abstract":" Laptop is a desktop personal computer (PC) whose dimensions are reduced to increase flexibility in its use. However, the large number of products will make it difficult for consumers to choose a laptop that suits the needs of consumers who want to buy it.The purpose of this research is to help buyers who want to buy laptop products according to their needs by making a Decision Support System (DSS). There are 12 criteria considered in this research, price, processor, RAM capacity, hard disk capacity, SSD capacity, V-RAM capacity, maximum RAM upgrade capacity, laptop weight, screen size, screen type, screen refresh rate, and screen resolution. Choosing a laptop product there is a criterion value of a laptop product and a value of preference criteria from the buyer as a decision maker. Also the criteria values on laptop products have different contributions to the overall value of the laptop product. Thus, the methods used are Analytical Hierarchy Process (AHP), Profile Matching (PM) with linear interpolation, and Simple Addictive Weighting (SAW) to determine the recommended options. Lastly, SPK that has been made will be able to provide recommendations best alternative choices and best suit the needs of buyers for selecting laptop products.","PeriodicalId":31625,"journal":{"name":"IJCCS Indonesian Journal of Computing and Cybernetics Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46079675","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

Online Learning Video Recommendation System Based on Course and Sylabus Using Content-Based Filtering 基于内容过滤的基于课程和教学大纲的在线学习视频推荐系统

IJCCS Indonesian Journal of Computing and Cybernetics Systems Pub Date : 2021-07-31 DOI: 10.22146/IJCCS.65623

F. Ramadhan, Aina Musdholifah

引用次数: 3

Comparison of Filter and Wrapper Based Feature Selection Methods on Spam Comment Classification 基于过滤器和包装器的垃圾邮件评论分类特征选择方法的比较

IJCCS Indonesian Journal of Computing and Cybernetics Systems Pub Date : 2021-07-31 DOI: 10.22146/IJCCS.66965

Amalia Nur Anggraeni, K. Mustofa, Sigit Priyanta

{"title":"Comparison of Filter and Wrapper Based Feature Selection Methods on Spam Comment Classification","authors":"Amalia Nur Anggraeni, K. Mustofa, Sigit Priyanta","doi":"10.22146/IJCCS.66965","DOIUrl":"https://doi.org/10.22146/IJCCS.66965","url":null,"abstract":"The continuous growth of the internet has led to the use of social media for various purposes increase. For instance, some irresponsible parties take advantage of the comment feature on social media platforms to harm others by providing spam comments on the shared object. Furthermore, variation of comments creates many features to be processed, thereby negatively impacting the performance of a classification algorithm. Therefore, this study aims to solve the problem associated with spam comments by comparing filter and wrapper based feature selection using text classification techniques. Data collected from training and test data of 4944 and 100 comments showed that the best accuracy, precision, recall, and f-measure of MNB are 96%, 100%, 92%, and 95.8%. The best accuracy is achieved using feature selection by combining Chi-Square and Sequential Forward Selection methods with a subset of 500 features. Furthermore, the accuracy increase in the MNB and SVM classifications are 8% and 4%. This research concludes that the combination of feature selection improves the classification performance of Indonesian language spam comments.","PeriodicalId":31625,"journal":{"name":"IJCCS Indonesian Journal of Computing and Cybernetics Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48678042","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

Aspect-Based Sentiment Analysis on Indonesian Restaurant Review Using a Combination of Convolutional Neural Network and Contextualized Word Embedding 卷积神经网络与情境化词嵌入相结合的印尼餐厅评论面向情感分析

IJCCS Indonesian Journal of Computing and Cybernetics Systems Pub Date : 2021-07-31 DOI: 10.22146/IJCCS.67306

P. Amalia

{"title":"Aspect-Based Sentiment Analysis on Indonesian Restaurant Review Using a Combination of Convolutional Neural Network and Contextualized Word Embedding","authors":"P. Amalia","doi":"10.22146/IJCCS.67306","DOIUrl":"https://doi.org/10.22146/IJCCS.67306","url":null,"abstract":"Someone's opinion on a product or service that is poured through a review is something that is quite important for the owner or potential customer. However, the large number of reviews makes it difficult for them to analyze the information contained in the reviews. Aspect-based sentiment analysis is the process of determining the sentiment polarity of a sentence based on predetermined aspects.This study aims to analyze an Indonesian restaurant review using a combination of Convolutional Neural Network and Contextualized Word Embedding models. Then it will be compared with a combination of Convolutional Neural Network and Traditional Word Embedding models. The result of aspect-classification on three models; BERT-CNN, ELMo-CNN, and Word2vec-CNN give the best results on the ELMo-CNN model with micro-average precision of 0.88, micro-average recall of 0.84, and micro-average f1-score of 0.86. Meanwhile, the sentiment-classification gives the best results on the BERT-CNN model with a precision value of 0.89, a recall of 0.89, and an f1-score of 0.91. Classification using data without stemming have almost similar results, even better than using data with stemming.","PeriodicalId":31625,"journal":{"name":"IJCCS Indonesian Journal of Computing and Cybernetics Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44073217","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

Transfer Learning of Pre-trained Transformers for Covid-19 Hoax Detection in Indonesian Language 预训练变压器的迁移学习用于印度尼西亚语的Covid-19恶作剧检测

IJCCS Indonesian Journal of Computing and Cybernetics Systems Pub Date : 2021-07-31 DOI: 10.22146/IJCCS.66205

Lya Hulliyyatus Suadaa, Ibnu Santoso, Amanda Tabitha Bulan Panjaitan

引用次数: 7

Analysis of classic assumption test and multiple linear regression coefficient test for employee structural office recommendation 员工结构性办公推荐的经典假设检验与多元线性回归系数检验分析

IJCCS Indonesian Journal of Computing and Cybernetics Systems Pub Date : 2021-07-31 DOI: 10.22146/IJCCS.65586

Debby Alita, Ade Dwi Putra, D. Darwis

引用次数: 31

Transliteration of Hiragana and Katakana Handwritten Characters Using CNN-SVM 基于CNN-SVM的平假名和片假名手写体的音译

IJCCS Indonesian Journal of Computing and Cybernetics Systems Pub Date : 2021-07-31 DOI: 10.22146/IJCCS.66062

Nicolaus Euclides Wahyu Nugroho, A. Harjoko

{"title":"Transliteration of Hiragana and Katakana Handwritten Characters Using CNN-SVM","authors":"Nicolaus Euclides Wahyu Nugroho, A. Harjoko","doi":"10.22146/IJCCS.66062","DOIUrl":"https://doi.org/10.22146/IJCCS.66062","url":null,"abstract":"Hiragana and katakana handwritten characters are often used when writing words in Japanese. Japanese itself is often used by native Japanese as well as people learning Japanese around the world. Hiragana and katakana characters themselves are difficult to learn because many characters are similar to one another. In this study, hiragana and basic katakana, dakuten, handakuten, and youon were used, which were taken from the respondents using a questionnaire. This study used the CNN method which will be compared with a combination of the CNN and SVM methods which have been designed to identify each character that has been prepared. Preprocessing of character images uses the methods of image resizing, grayscaling, binarization, dilation, and erosion. The preprocessed results will be input for CNN as a feature extraction tool and SVM as a tool for character recognition. The results of this study obtained accuracy with the following parameters: 69×69 image size, 3 patience values, val_loss monitor callbacks, Nadam optimization function, 0.001 learning rate value, 30 epochs value, and SVM RBF kernel. If using a system that only uses the CNN network, the accuracy is 87.82%. The results obtained when using a combination of CNN and SVM were 88.21%.","PeriodicalId":31625,"journal":{"name":"IJCCS Indonesian Journal of Computing and Cybernetics Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49550158","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

Hashtag Analysis of Indonesian COVID-19 Tweets Using Social Network Analysis 使用社交网络分析对印尼COVID-19推文进行标签分析

IJCCS Indonesian Journal of Computing and Cybernetics Systems Pub Date : 2021-07-31 DOI: 10.22146/IJCCS.61626

Muhammad Habibi, A. Priadana, M. Ma’arif

{"title":"Hashtag Analysis of Indonesian COVID-19 Tweets Using Social Network Analysis","authors":"Muhammad Habibi, A. Priadana, M. Ma’arif","doi":"10.22146/IJCCS.61626","DOIUrl":"https://doi.org/10.22146/IJCCS.61626","url":null,"abstract":"Social media has become more critical for people to communicate about the pandemic of COVID-19. In social media, hashtags are social annotations which often used to denote message content. It serves as an intuitive and flexible tool for making huge collections of posts searchable on Twitter. Through practices of hashtagging, user representations of a given post also become connected. This study aimed to analyze the hashtag of Indonesian COVID-19 Tweets using Social Network Analysis (SNA). We used SNA techniques to visualize network models and measure some centrality to find the most influential hashtag in the network. We collected and analyzed 500.000 public tweets from Twitter based on COVID-19 keywords. Based on the centrality measurement result, the hashtag #corona is a hashtag with the most connection with other hashtags. The hashtag #COVID19 is the hashtag that is most closely related to all other hashtags. The hashtag #corona is the hashtag that most acts as a bridge that can control the flow of information related to COVID-19. The hashtag #coronavirus is the most important of hashtags based on their link. Our study also found that the hashtag #covid19 and #wabah have a substantial relationship with religious-related hashtags based on network visualization.","PeriodicalId":31625,"journal":{"name":"IJCCS Indonesian Journal of Computing and Cybernetics Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45892751","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

Exploring MSMEs Cybersecurity Awareness and Risk Management : Information Security Awareness 中小微企业网络安全意识与风险管理探索：信息安全意识

IJCCS Indonesian Journal of Computing and Cybernetics Systems Pub Date : 2021-07-31 DOI: 10.22146/IJCCS.67010

Y. Singgalen, H. Purnomo, I. Sembiring

{"title":"Exploring MSMEs Cybersecurity Awareness and Risk Management : Information Security Awareness","authors":"Y. Singgalen, H. Purnomo, I. Sembiring","doi":"10.22146/IJCCS.67010","DOIUrl":"https://doi.org/10.22146/IJCCS.67010","url":null,"abstract":"The use of information technology in the management of Micro, Small, and Medium Enterprises (MSMEs) is not limited to business performance and productivity but also aspects of data security and transactions using various mobile, website, and desktop-based applications. This article offers an idea to explore cybersecurity awareness and risk management of MSME actors who adopt information technology. The research method used is qualitative with a case study approach in the Coffeeshop X business and the Y Souvenir business in Salatiga City, Central Java, Indonesia. The data collection technique used in-depth interviews, observation, and document studies. These findings indicate that Cybersecurity Awareness, especially information security awareness, can be reviewed based on knowledge, attitudes, and behavior. Risk management can be review based on supply risk, operational risk, and customer risk. Cybersecurity Awareness and Risk Management in MSMEs is holistic and cannot be generalized, so it needs to be discussed contextually based on case studies. In the context of Coffeeshop X and Souvenir Y, the level of Cybersecurity Awareness (knowledge, attitude, behavior) is not always linear. In addition, risk management is more dominant in the customer risk dimension, compared to supply risk and operational risk. ","PeriodicalId":31625,"journal":{"name":"IJCCS Indonesian Journal of Computing and Cybernetics Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47787743","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