2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)最新文献_第7页

Natural Language Processing on Marketplace Product Review Sentiment Analysis 自然语言处理在市场产品评论情感分析中的应用

2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320827

Arif Nur Rohman, Rizqa Luviana Musyarofah, Ema Utami, Suwanto Raharjo

{"title":"Natural Language Processing on Marketplace Product Review Sentiment Analysis","authors":"Arif Nur Rohman, Rizqa Luviana Musyarofah, Ema Utami, Suwanto Raharjo","doi":"10.1109/ICORIS50180.2020.9320827","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320827","url":null,"abstract":"Marketplace is a platform that bridges buyer and seller to transact. In January 2020, Central Bank reported that total transactions in 14 Indonesian marketplaces reached 23.27 trillion rupiahs. At the end of the transaction process, the buyer has the opportunity to give a review of the product that has been purchased. This research aims to sentiment analysis on marketplace product reviews. This research applies Natural Language Processing as a pre-processing of text in the sentiment analysis of marketplace product reviews using a machine learning approach with the Naive Bayes and K-NN algorithms. The test scenario obtained an average Naive Bayes accuracy of 52.4% on the Unigram dataset and an average K-NN accuracy of 79.4% on the Bigram dataset. The utilization of NLP, particularly the word normalizer, can increase the accuracy of 10% for Naive Bayes and 4% for K-NN. Sentiment analysis on marketplace product reviews is useful as an opportunity for product improvement for both seller and competitor, in the other side it is also used as a reference for other users before buying a product.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132749455","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

Prototyping of Machine Learning at Traditional Market as Option for Sales and Purchasing Transaction 传统市场中机器学习作为买卖交易选项的原型

2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320844

Michel Farrel Tomatala, Mihuandayani

{"title":"Prototyping of Machine Learning at Traditional Market as Option for Sales and Purchasing Transaction","authors":"Michel Farrel Tomatala, Mihuandayani","doi":"10.1109/ICORIS50180.2020.9320844","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320844","url":null,"abstract":"Traditional market is an important part of the regional economy. Sales and purchasing transaction in traditional markets in any country is closely related to transactions which are done or executed in physical places. These days, along with technology enhancement, most things may be transformed into virtual reality. Artificial Intelligence technology in the application of machine learning is a potential that can make a significant contribution in various aspects, including the sales system. This study focuses on designing the prototyping of a machine learning application that is purposely used for sales and purchase transactions in the traditional market. This prototyping provides an alternative to traditional market traders who are focused on selling their goods at physical places. This study builds an application that provides a virtual platform for sales and purchase transactions. This study uses Convolutional Neural Networks (CNN) as one of the categories in Deep Learning which is part of Machine Learning. This study finds that the prototyping of machine learning applications for sales and purchase transactions at traditional markets might be a proper and beneficial solution for both traders and customers.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132739190","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

RESTful Web Service Implementation on Unklab Information System Using JSON Web Token (JWT) 基于JSON Web Token的Unklab信息系统RESTful Web服务实现

2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320801

S. I. Adam, Jimmy Moedjahedy, J. Maramis

引用次数: 2

The Development of Web Based Information System at Universitas Klabat Career Center 克拉巴特大学就业中心基于Web的信息系统开发

2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320808

Tommy Sijabat, Wiwandy Dopong, Reymon Rotikan, Steven Lolong, Jimmy Moedjahedy

{"title":"The Development of Web Based Information System at Universitas Klabat Career Center","authors":"Tommy Sijabat, Wiwandy Dopong, Reymon Rotikan, Steven Lolong, Jimmy Moedjahedy","doi":"10.1109/ICORIS50180.2020.9320808","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320808","url":null,"abstract":"A web-based information system is used to collect, process, store existing data, and provide information for decision-making. The use of web-based information systems can help support various business processes and integrate all the processes. Universitas Klabat, with the Career Center that carries out alumni tracer study, still does not have an integrated system in its implementation. An information system that can integrate every tracer study implementation can encourage productivity and improve higher education quality in the accreditation process. This study aims to create a web-based tracer study information system at Universitas Klabat's Career Center. In developing the system, a PHP based programming language framework, namely Laravel, was employed to develop the system. The resulting web-based information system can integrate every process of the tracer study. The information system has four types of users, namely administrators, operators, alumni, and employers. The information system can also generate reports needed by Universitas Klabat and report purposes to the Ministry of Research and Technology.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127829313","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

Keyword-Based Hadith Grouping Using Fuzzy C-Means Method 基于关键词的模糊c均值哈迪斯分组

2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320796

Evi Dewi Sri Mulyani, N. Nelis Febriani SM, Adam Darmawan, Restu Adi Wiyono, Rahadi Deli Saputra, Dani Rohpandi

引用次数: 1

Lecturer Achievement Index Measurement Using Fuzzy Inference System at STIKOM PGRI Banyuwangi 基于模糊推理系统的天津大学讲师成绩指标测量

2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320794

K. Umam, Eldy Satriya Wibawa

{"title":"Lecturer Achievement Index Measurement Using Fuzzy Inference System at STIKOM PGRI Banyuwangi","authors":"K. Umam, Eldy Satriya Wibawa","doi":"10.1109/ICORIS50180.2020.9320794","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320794","url":null,"abstract":"As an effort to measure lecturer performance, STIKOM PGRI Banyuwangi implements the measurement of the Lecturer Achievement Index (LAI). The size is conducted by collecting student ratings of the lecturer's performance using a Likert scale on nine performance indicators. However, this method only produces an average value from the indicator scores. This method has not been able to describe the quality of a lecturer's performance. Therefore, another mechanism is needed so that the lecturer's performance quality can be known. One method that can be used is the Fuzzy Inference System (FIS). The technique is used to map the lecturer's performance average scores given by students into three levels of performance quality, i.e., Good, adequate, and PO, or based on predefined membership functions. These fuzzy values then evaluated using predefined rules to determine the lecturer's performance quality. The LAI score is then obtained from the defuzzification stage of these values. By using this method, the LAI score obtained is different from the old mechanism. It can enhance the score based on performance quality. The better the quality, the better the score that the lecturer gets, and vice versa.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131954264","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

Decision Support System for High Achieving Students Selection Using AHP and TOPSIS 基于AHP和TOPSIS的优等生选拔决策支持系统

2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320823

Yufika Sari Bagi, S. Suyono, Michel Farrel Tomatala

引用次数: 11

User Experience Evaluation of Egrang Traditional Game Application 乙让传统游戏应用的用户体验评价

2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320832

Ina Sholihah Widiati, Widiyanto Hadi, Muhammad Setiyawan, Widada

{"title":"User Experience Evaluation of Egrang Traditional Game Application","authors":"Ina Sholihah Widiati, Widiyanto Hadi, Muhammad Setiyawan, Widada","doi":"10.1109/ICORIS50180.2020.9320832","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320832","url":null,"abstract":"Today's modern game that many children play is mobile-based. The rapid development of smartphones makes mobile gaming technology develop too. Traditional games have been developed in Indonesia. The purpose of elevating traditional games into mobile game applications is so that children now know the traditional game of the nation's culture even though it is now in the digital age. One of the traditional games raised in mobile games is Stilts. This study discusses the evaluation of traditional Egrang game application users. Respondents from this study are children aged 7 to 13 years. The tool used for processing and analyzing respondent data is the User Experience Questionnaire (UEQ). UEQ will measure 6 User Experience scales, including Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation, and Novelty. The results of this study obtained Perspicuity and Novelty Scale data in the Above Average range. Attractiveness, Efficiency, and Dependability scales are in the Below Average range.In contrast, the Stimulation scale is in the Bad range. From these data, it can be seen that the stimulation scale most needs to get more attention in the evaluation or development of subsequent applications. In contrast, the one who gets the highest score is Perspicuity. So it can be concluded that respondents said the game was easy to understand when playing for the first time but was still not motivated to play it repeatedly and tended to get bored quickly.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121872459","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