2022 10th International Conference on Information and Communication Technology (ICoICT)最新文献

Analysis of Information Security Awareness for TikTok Application Users in Indonesia 印尼TikTok应用用户信息安全意识分析

2022 10th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2022-08-02 DOI: 10.1109/ICoICT55009.2022.9914826

Bagas Arief Hananto, Rizki Ilma Hafidzun Alim, Syahputra Syahrir, Khansa Amaradiena, Candiwan

引用次数: 0

Book Recommender System Using Singular Value Decomposition Combined with Slope One Algorithm 基于奇异值分解和斜率一算法的图书推荐系统

2022 10th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2022-08-02 DOI: 10.1109/ICoICT55009.2022.9914884

Christina, Z. Baizal

{"title":"Book Recommender System Using Singular Value Decomposition Combined with Slope One Algorithm","authors":"Christina, Z. Baizal","doi":"10.1109/ICoICT55009.2022.9914884","DOIUrl":"https://doi.org/10.1109/ICoICT55009.2022.9914884","url":null,"abstract":"As information spreads on the internet, users need more personalized information. A recommender system can be applied to achieve this. Singular Value Decomposition (SVD) is a method that can be applied to a recommender system to find hidden features in the relationship matrix between items and between users. However, the recommender system faces several problems, one of which is data sparsity. The SVD algorithm itself considers an empty rating value as 0. In solving this problem, the SVD algorithm can be combined with rating predictions using the Slope One algorithm. The Slope One algorithm is applied to complete the empty rating data so that the model can be trained with more complete data. So, the Slope-SVD method can improve the accuracy of the recommender system. This study aims to apply the Slope-SVD algorithm to a book recommender system using a rating dataset from the Goodreads web. The performance of the system was tested with the Mean Square Error (MAE). The test results from this study indicate that combining the Slope One algorithm with SVD gives better results than each Slope One or SVD alone.","PeriodicalId":409801,"journal":{"name":"2022 10th International Conference on Information and Communication Technology (ICoICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129242003","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

Clean Architecture Implementation Impacts on Maintainability Aspect for Backend System Code Base 清晰的体系结构实现对后端系统代码库可维护性的影响

2022 10th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2022-08-02 DOI: 10.1109/ICoICT55009.2022.9914890

Yosep Novento Nugroho, D. S. Kusumo, M. J. Alibasa

{"title":"Clean Architecture Implementation Impacts on Maintainability Aspect for Backend System Code Base","authors":"Yosep Novento Nugroho, D. S. Kusumo, M. J. Alibasa","doi":"10.1109/ICoICT55009.2022.9914890","DOIUrl":"https://doi.org/10.1109/ICoICT55009.2022.9914890","url":null,"abstract":"The rapid growth of backend technology correlates positively with the number of problems that arise. One of the issues is the negligence of following an ideal backend system architecture. It causes various problems such as huge numbers of code duplication in many locations of the backend system codebase leading to a low maintainability level. This research aims to investigate the impacts of applying clean architecture on the backend codebase by creating several layers in the codebase according to the business logic hierarchy. To analyze the impacts, this research utilizes several metrics such as Cyclomatic Complexity, Weighted Method Count, Kan's Defects, Halstead's score, and Maintainability Index. The results showed that all maintainability metric scores improved after refactoring a selected backend codebase by applying the clean architecture principle. The improvements range from 21% to 61% for various maintainability metrics. This study validates that the implementation of a clean architecture in the backend codebase could increase the maintainability, reduce its complexity, and reduce developer effort to modify the codebase.","PeriodicalId":409801,"journal":{"name":"2022 10th International Conference on Information and Communication Technology (ICoICT)","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121345306","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

Personal Chatbot Evaluation with Elaboration Likelihood Model on Social Messaging Application 基于精细似然模型的个人聊天机器人评价

2022 10th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2022-08-02 DOI: 10.1109/ICoICT55009.2022.9914832

Mochamad Aulia Akbar Praditomo, A. Hidayanto, L. Y. Stefanus, W. S. Nugroho, R. M. S. Ibrahim

{"title":"Personal Chatbot Evaluation with Elaboration Likelihood Model on Social Messaging Application","authors":"Mochamad Aulia Akbar Praditomo, A. Hidayanto, L. Y. Stefanus, W. S. Nugroho, R. M. S. Ibrahim","doi":"10.1109/ICoICT55009.2022.9914832","DOIUrl":"https://doi.org/10.1109/ICoICT55009.2022.9914832","url":null,"abstract":"This study proposes a chatbot technology adoption model with an elaboration likelihood model theory approach. The theory of technology acceptance model (TAM) is used as a reference for the development of models that not only evaluate models functionally such as perceived ease-of-use and perceived usefulness but also socially such as perceived sociability. Hypothesis testing was carried out by analyzing the respondent's data with a total of 392 data using the CB-SEM method. It was found that the ELM theory can be applied in the context of the adoption of chatbot technology. The peripheral route (visual attractiveness, language mastery, and reputation) has a positive correlation with perceived sociability. The central route has a strong positive correlation to perceived usefulness and a moderate positive correlation to perceived ease of use. Perceived sociability and perceived usefulness were found to strongly predict user intentions to interact. Meanwhile, perceived ease-of-use does not have a significant effect on user intentions for continuous interaction. This research reinforces previous studies which found that chatbots need not only functional acceptance but also social acceptance. With these results, developers can find out how priorities must be arranged in the development of chatbots that are used sustainably by their users.","PeriodicalId":409801,"journal":{"name":"2022 10th International Conference on Information and Communication Technology (ICoICT)","volume":"331 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115846101","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

Recurrent Neural Network Architectures Comparison in Time-Series Binary Classification on IoT-Based Smart Lighting Control 基于物联网的智能照明控制中时间序列二值分类的递归神经网络架构比较

2022 10th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2022-08-02 DOI: 10.1109/ICoICT55009.2022.9914831

Aji Gautama Putrada, M. Abdurohman, D. Perdana, Hilal Hudan Nuha

{"title":"Recurrent Neural Network Architectures Comparison in Time-Series Binary Classification on IoT-Based Smart Lighting Control","authors":"Aji Gautama Putrada, M. Abdurohman, D. Perdana, Hilal Hudan Nuha","doi":"10.1109/ICoICT55009.2022.9914831","DOIUrl":"https://doi.org/10.1109/ICoICT55009.2022.9914831","url":null,"abstract":"Recurrent neural network (RNN) is suitable for sequential cases because they have feedback in their structure to recognize a dynamic behavior and a sequential pattern in time-series data. However, in a binary classification problem on internet of things (IoT)-based smart lighting control, there are several optional applications of RNNs with different architectures that are applicable to the problem. This paper proposes a comparison of several RNN architectures in a case study of IoT-based smart lighting control. An IoT implementation, including passive infrared (PIR) Sensors, NodeMCU, light-emitting diode (LED) lighting, relays, and Raspberry Pi, produces a dataset of smart lighting control. We implement four types of RNN architectures including stacked long short term memory (LSTM), stacked LSTM-decision tree (LSTM-DT), simple RNN, and RNN-DT. Results show that stacked LSTM and simple RNN produce the best performance out of the four architectures with 95% accuracy. However, simple RNN has a significantly lower delay compared to other methods, with a mean ±standard deviation of (109.8±65.8) ms. We discuss several comparisons of the obtained results with state-of-the-art research.","PeriodicalId":409801,"journal":{"name":"2022 10th International Conference on Information and Communication Technology (ICoICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130785398","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

Convergence of motivation from game-like context to real-life context: a quantitative study 从游戏情境到现实情境的动机聚合:一项定量研究

2022 10th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2022-08-02 DOI: 10.1109/ICoICT55009.2022.9914828

Darren Lim Yie, Mageswaran Sanmugam, Wan Ahmad Jaafar Wan Yahaya

{"title":"Convergence of motivation from game-like context to real-life context: a quantitative study","authors":"Darren Lim Yie, Mageswaran Sanmugam, Wan Ahmad Jaafar Wan Yahaya","doi":"10.1109/ICoICT55009.2022.9914828","DOIUrl":"https://doi.org/10.1109/ICoICT55009.2022.9914828","url":null,"abstract":"Player type theory in which its earliest study done by Richard Bartle segments players into different categories based on their interaction with games. Other related studies were then conducted by various researchers consecutively. The authors came upon a question in which to what extent can player motivation in games be projected onto intrinsic motivation. Thus, this study is done by assigning Nick Yee's player motivation test and Intrinsic Motivation Inventory test to 57 undergraduate students from the School of Educational Studies who are partaking in an Instructional Technology course in an online gamified learning environment. Reliability, correlation, and regression tests were done on the data obtained. Later, the researchers evaluated and interpreted the results by presenting them in table and graph forms. The authors of this article aimed to determine the possibility of the convergence of player motivation in a game-like context towards intrinsic motivation within a real-life context with the hope of contributing to its respective field.","PeriodicalId":409801,"journal":{"name":"2022 10th International Conference on Information and Communication Technology (ICoICT)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125892522","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 Visual Approach Towards Wildlife Surveillance in Malaysia 马来西亚野生动物监测的视觉方法

2022 10th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2022-08-02 DOI: 10.1109/ICoICT55009.2022.9914861

Ching Yee Teng, T. Connie, Kan Yeep Choo, Michael Kah Ong Goh

{"title":"A Visual Approach Towards Wildlife Surveillance in Malaysia","authors":"Ching Yee Teng, T. Connie, Kan Yeep Choo, Michael Kah Ong Goh","doi":"10.1109/ICoICT55009.2022.9914861","DOIUrl":"https://doi.org/10.1109/ICoICT55009.2022.9914861","url":null,"abstract":"Road development has caused increased wildlife-vehicle collision (WCV) in Malaysia. WCV does not only pose a high risk to road safety but also become a major threat to the survival of precious wildlife in the country. Every year, hundreds of endangered species such as the Malayan Tapir are killed on the road. The wild animals set foot on man areas because their movement corridor has been blocked by roads or highways. Besides, the wild animals are forced to come out from the forests to hunt for food due to excessive deforestation that destroy their natural habitats. In this study, wildlife surveillance system based in visual input analysis is presented. Footages from CCTV cameras placed near the roadways are used to perform surveillance monitoring. A data-driven object detection method based on deep transfer learning is used to automatically monitor and detect the occurrence of wildlife in the scene under observation. Once the sign of wildlife is detected, a warning will be sent to the corresponding conservation or road infrastructure departments to take immediate action. Empirical results show that the proposed method achieve a mean average precision (mAP50) of 95.6% and an average recall of 94% in detecting wildlife. This suggests that proposed method offers a promising solution to help to reduce the cases of WCV in the country through visual surveillance.","PeriodicalId":409801,"journal":{"name":"2022 10th International Conference on Information and Communication Technology (ICoICT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131038187","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

Sentiment Effect on Mandiri Bank Stock using Feature Expansion Word2vec and Classification Method Gradient Boosted Decision Tree 基于特征扩展Word2vec和分类方法梯度增强决策树的Mandiri银行股票情绪效应

2022 10th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2022-08-02 DOI: 10.1109/ICoICT55009.2022.9914854

Adham Erlangga Siwi, E. B. Setiawan

{"title":"Sentiment Effect on Mandiri Bank Stock using Feature Expansion Word2vec and Classification Method Gradient Boosted Decision Tree","authors":"Adham Erlangga Siwi, E. B. Setiawan","doi":"10.1109/ICoICT55009.2022.9914854","DOIUrl":"https://doi.org/10.1109/ICoICT55009.2022.9914854","url":null,"abstract":"In June 2019, there was an accident to the Mandiri bank system. On the same day of the accident, Mandiri bank stock price is decreasing. Many customers use social media as a means of conveying their opinions on this accident, one of the social media used is twitter. Twitter is a service used by users to upload information in the form of text that contains sentiments from its users. However, Twitter itself has a character limit, which is only 280 characters. As a result of character restrictions, opinions expressed may contain vocabulary mismatches because they contain slang, abbreviations, emoji, etc. Because of this, it is difficult to understand the context of the opinions expressed. Therefore, Word2vec feature expansion is used to deal with the problem of vocabulary mismatch, which can result in word context. This study develops a Twitter sentiment classification system using the Word2vec feature expansion method with the Gradient Boost Decision Tree classification algorithm. The results of this study indicate that by using feature expansion in the classification algorithm, model performance has increases to 3.29% for accuracy, 3.35% for precision, 3.31% for recall, and 3.31% for f1-score. From the sentiment classification model built to predict stock price movements, sentiment has no correlation towards stock price movements, with the correlation value of 0.097 for positive sentiment and 0.124 for negative sentiment.","PeriodicalId":409801,"journal":{"name":"2022 10th International Conference on Information and Communication Technology (ICoICT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121057213","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

Forecasting of Maximum Temperature by using ANFIS and GRU Algorithms: Case Study in Jakarta, Indonesia 利用ANFIS和GRU算法预测最高气温:以印度尼西亚雅加达为例

2022 10th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2022-08-02 DOI: 10.1109/ICoICT55009.2022.9914885

Armando Jacquis Federal Zamelina, D. Adytia, Annas Wahyu Ramadhan

{"title":"Forecasting of Maximum Temperature by using ANFIS and GRU Algorithms: Case Study in Jakarta, Indonesia","authors":"Armando Jacquis Federal Zamelina, D. Adytia, Annas Wahyu Ramadhan","doi":"10.1109/ICoICT55009.2022.9914885","DOIUrl":"https://doi.org/10.1109/ICoICT55009.2022.9914885","url":null,"abstract":"Climate change is a highly complex phenomenon and has a significant impact on daily life. One of the climate features is temperature. When the temperature is high, the electricity requested by the population is more. That is due to the sophisticated technologies that the people need to employ to decrease the hotness. In this study, two methods from the Deep Learning discipline, namely Adaptive Neuro-Fuzzy Inference System (ANFIS)and Gated Recurrent Unit (GRU), are used to forecast Maximum Temperature (MT) time series. This research use dataset from ECWMF ERA-5. The objective is to analyze and compare GRU and ANFIS methods to experimental results and provide more insights into their capabilities to forecast the Maximum Temperature. Based on the result, both ANFIS and GRU can target the forecasting of MT. The two models give satisfactory performance because the CC values are above 0.95, and both models' RMSE and MAPE are lower than 2. Moreover, the GRU algorithm is more efficient for short-term forecasting. Besides, the ANFIS model improves its effectiveness when the forecasting is longer. For the training time, the GRU algorithm gives far shorter computational time than the ANFIS.","PeriodicalId":409801,"journal":{"name":"2022 10th International Conference on Information and Communication Technology (ICoICT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121236326","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

Handling Imbalanced Dataset on Hate Speech Detection in Indonesian Online News Comments 印尼在线新闻评论中仇恨言论检测数据不平衡处理

2022 10th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2022-08-02 DOI: 10.1109/ICoICT55009.2022.9914883

Almira Diva Sanya, Lya Hulliyyatus Suadaa

{"title":"Handling Imbalanced Dataset on Hate Speech Detection in Indonesian Online News Comments","authors":"Almira Diva Sanya, Lya Hulliyyatus Suadaa","doi":"10.1109/ICoICT55009.2022.9914883","DOIUrl":"https://doi.org/10.1109/ICoICT55009.2022.9914883","url":null,"abstract":"In the current technological era, people can get information quickly, up to date, and in large quantities by accessing online news. A comment column is usually provided as a feature in the online news to express criticism, suggestions, and opinions on certain news. This convenience is a form of freedom of expression for everyone. However, it increases the opportunity for users to express their hate in the comment column. The rise of posts containing hate speech is a problem that needs to be addressed by automatic hate speech detection. Naturally, there is an imbalance between the number of comments that include hate speech and those that do not. Therefore, in this study, the detection of Indonesian hate speech posts in the comments was carried out under several imbalanced conditions. Models used in this study are the SVM model, SVM with various resampling methods, fine-tuned IndoBERT, and fine-tuned mBERT. Based on the results, an imbalanced state can reduce the performance of SVM and the fine-tuned models. Even under an extreme imbalanced condition, the fine-tuned IndoBERT can capture the sentence contexts better than SVM. Then, applying oversampling strategies to SVM can improve the performance of SVM under imbalanced settings. The combination of SVM and SMOTE models perform the best in handling imbalanced problem.","PeriodicalId":409801,"journal":{"name":"2022 10th International Conference on Information and Communication Technology (ICoICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133862443","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