Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology最新文献_第2页

Evaluation of multivariate transductive neuro-fuzzy inference system for multivariate time-series analysis and modelling 多变量时间序列分析与建模的多变量传导神经模糊推理系统评价

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI: 10.1145/3427423.3427428

H. Widiputra

引用次数: 0

Change management to support institutional amendment of higher education based on Kotter's model 基于Kotter模型的高等教育制度变革管理

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI: 10.1145/3427423.3427453

A. Iskandar, S. Saon, I. Chandra

引用次数: 0

Implementation of ontology-based on Word2Vec and DBSCAN for part-of-speech 基于Word2Vec和DBSCAN的词性本体的实现

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI: 10.1145/3427423.3427431

Parmonangan R. Togatorop, Rosa Siagian, Yolanda Nainggolan, Kaleb Simanungkalit

{"title":"Implementation of ontology-based on Word2Vec and DBSCAN for part-of-speech","authors":"Parmonangan R. Togatorop, Rosa Siagian, Yolanda Nainggolan, Kaleb Simanungkalit","doi":"10.1145/3427423.3427431","DOIUrl":"https://doi.org/10.1145/3427423.3427431","url":null,"abstract":"POS tagging is a process of marking text into an appropriate word-class based on word definitions and word relationships. In general, several POS tagging approaches have been applied in Bahasa Indonesia namely rule-based, stochastic, and neural. Besides, there is another approach to POS tagging which has been applied to English, namely the approach using ontology. This approach has not yet been applied to Bahasa Indonesia so we will implement an ontology to conduct POS tagging in Bahasa Indonesia. In this study, the ontology was constructed using the Word2Vec and the DBSCAN clustering method. The Word2Vec model is implemented to extract each word in vector form based on its context and the DBSCAN clustering method is implemented for the classification process of word classes based on word vectors modeled by Word2Vec. The process of POS tagging with ontology is carried out in several stages, namely: data collection using web scraping techniques from Kompas.com and Detik.com online news articles, text preprocessing, Word2Vec feature building, clustering with DBSCAN, ontology construction and evaluation. The experiments carried out in this study were to choose the optimal parameter values from DBSCAN in forming word clusters for ontology construction. Overall, the implementation of ontology with Word2Vec and DBSCAN can do POS tagging with the highest accuracy value of 0.62, the highest precision value of 0.79, the highest recall value of 0.62, and the highest f1-score of 0.67.","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":"134129516","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

Rank consistency of TOPSIS in mobile based recommendation system 基于移动端的推荐系统中TOPSIS的排名一致性

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI: 10.1145/3427423.3427455

Ratih Kartika Dewi, A. Widodo, Y. A. Sari, Nurul Ilmi Muhlisah Aziz

{"title":"Rank consistency of TOPSIS in mobile based recommendation system","authors":"Ratih Kartika Dewi, A. Widodo, Y. A. Sari, Nurul Ilmi Muhlisah Aziz","doi":"10.1145/3427423.3427455","DOIUrl":"https://doi.org/10.1145/3427423.3427455","url":null,"abstract":"The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm was chosen as an algorithm for making recommendations in many mobile recommender system application, such as in mobile-based sports venue recommendation system. In the previous work, usability testing was conducted to test the user acceptance of the application, but the reliability of TOPSIS hasn't been tested yet. The accuracy testing is very subjective for problems in terms of sports venue recommendations, therefore, this research proposed rank consistency testing to find out if there is a rank reversal (the first ranking is swapped with the latest ranking) when there is a change in the number of alternatives (alternatives in this case are the sports venues). The contribution of this research is to find out the reliability of the TOPSIS algorithm in the issue of mobile-based sports venue recommendation system. The test scenario is held by adding one alternative with the same value as one of the existing alternatives. Based on the results of tests for this case, the rank consistency result shows 100% of rank consistency and there is also no rank reversal.","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":"114690201","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

Learning experience evaluation of indonesia online tutoring mobile application using heuristic for E-learning 基于启发式算法的印尼在线辅导移动应用学习体验评价

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI: 10.1145/3427423.3427440

Hanifah Muslimah Az-zahra, R. I. Rokhmawati, Cheldo Bagus Romansya

{"title":"Learning experience evaluation of indonesia online tutoring mobile application using heuristic for E-learning","authors":"Hanifah Muslimah Az-zahra, R. I. Rokhmawati, Cheldo Bagus Romansya","doi":"10.1145/3427423.3427440","DOIUrl":"https://doi.org/10.1145/3427423.3427440","url":null,"abstract":"Ruang Guru has been Indonesia's most popular online tutoring platform in 2019. This platform is intended for primary to high school students in understanding school curriculums, as well as helping with exams. However, teens may have a low success rate because of their overconfident behavior. Their undeveloped skills require simple and relatable applications. This fact raises the question of whether teenage students are able to learn through this e-learning. This study aims to find user experience problems in this e-learning application that might impact student learning success. The evaluation of the learning experience of e-learning should not only be related to usability but also instructional design aspects. This study evaluates an online tutor mobile application using the heuristic evaluation method by referring to the usability and instructional design heuristics. The results found 28 problems. Some problems were beyond determined heuristics. The mean calculation of severity level indicates minor problems that have a low improvement priority.","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":"128515322","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

Acceptance of e-commerce at rural level: villagers' perspective 农村层面对电子商务的接受:村民视角

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI: 10.1145/3427423.3427463

H. D. Hermawan, Zakky Muhammad Noor, D. A. Pramudita, Dwi Pamuji Ismoyo

引用次数: 0

A comparative study of time-series models for forecasting the indonesian gold price 印尼黄金价格预测的时间序列模型比较研究

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI: 10.1145/3427423.3427438

M. Taufik, Ashri Shabrina Afrah, Endah Septa Sintiya, D. Hariyanto

{"title":"A comparative study of time-series models for forecasting the indonesian gold price","authors":"M. Taufik, Ashri Shabrina Afrah, Endah Septa Sintiya, D. Hariyanto","doi":"10.1145/3427423.3427438","DOIUrl":"https://doi.org/10.1145/3427423.3427438","url":null,"abstract":"Although the value improves from year to year, gold can also suffer from significant price drops sometimes. For example in 2013, due to a severe decline in inflation rate all around the world, the price of gold plummeted either in Indonesia or other countries. Therefore, to make an investment decision and minimize the risks, sufficient information about price fluctuation of gold is highly needed. One of the common approaches for predicting gold price is time-series analysis. The ultimate goal of this research is to determine the most appropriate model of time series to predict gold price in Indonesia. The time series forecasting methods which were compared through simulations are Brown's Double Exponential Smoothing, Holt's Double Exponential Smoothing, and Fuzzy Time Series Markov Chain. The data used in this paper is the daily gold price in Indonesia that was observed from May to July 2020. According to the examination carried out with the Durbin Watson test, it was revealed that the data was dependent on time thus the time series analysis was suitable to apply. The testing with standard and relative statistical measurement showed that the Fuzzy Time Series Markov Chain was the best compared to other tested models, with the value of RMSE= 3269.022 and MAPE= 0.3%.","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":"128933684","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

Sentiment analysis of mass rapid transit jakarta using naïve bayes classifier and rule-based opinion target detection on Twitter 基于naïve贝叶斯分类器和Twitter上基于规则的意见目标检测的雅加达捷运情感分析

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI: 10.1145/3427423.3427437

Dhanika Jeihan Aguinta, P. P. Adikara, R. Wihandika

{"title":"Sentiment analysis of mass rapid transit jakarta using naïve bayes classifier and rule-based opinion target detection on Twitter","authors":"Dhanika Jeihan Aguinta, P. P. Adikara, R. Wihandika","doi":"10.1145/3427423.3427437","DOIUrl":"https://doi.org/10.1145/3427423.3427437","url":null,"abstract":"Jakarta Mass Rapid Transit (MRT) is a national project in Indonesia that has been operated since the beginning of 2019 for phase 1 and still under further development. People's opinions posted on Twitter concerning Jakarta MRT could become an evaluation material, viewed from the sentiment score and object of the opinion. To analyze the sentiment score, opinion sentiment classified using the naive Bayes classifier, followed by rule-based target opinion detection. The classification process is using bag of words (BoW) features and lexicon-based features. In the weighting process of the Lexicon-based features and detection of the target opinion, POS tagging is employed to get the word class. In determining the target opinion object, the POS tagging result is used to do chunking that has specific rules, specific to noun-phrase (NP) tags. Therefore, the obtained sentiment class and object become the target in the opinion. Using Naïve Bayes with the bag of words features and lexicon-based, we achieve precision 0,92, recall 1,0, f-measure 0,95, and accuracy 0,92. The results of the rule-based target opinion detection are 0.78, 0.85, 0.79, and 0.75 for precision, recall, f-measure, and accuracy, respectively.","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":"126439469","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

Performance testing on the shopee website in the pandemic period of COVID-19 新冠疫情期间shopee网站性能测试

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI: 10.1145/3427423.3427457

Aulia Zahra Musthafawi, Aulia Mas’adah, Sukmadiningtyas, F. Ramdani

引用次数: 0

Integrating douglas-peucker line simplification into routeboxer algorithm on a map-based Android application 在基于地图的Android应用程序中将douglas-peucker线简化集成到routeboxer算法中

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology Pub Date : 2020-11-16 DOI: 10.1145/3427423.3427446

Aryo Pinandito, Chandrawati Putri Wulandari

{"title":"Integrating douglas-peucker line simplification into routeboxer algorithm on a map-based Android application","authors":"Aryo Pinandito, Chandrawati Putri Wulandari","doi":"10.1145/3427423.3427446","DOIUrl":"https://doi.org/10.1145/3427423.3427446","url":null,"abstract":"A map-based application is, by and large, useful to search for information about locations or places. The application, such as Google Maps, provides commuting or navigation information of a particular place. With the mobile version of Google Maps, people can get such information directly from their mobile devices. Google also has a directions interface that supports finding a navigational path between two specified locations. In recognizing an area surrounding the path, there is an algorithm to support that functionality, namely RouteBoxer. The recognized surrounding area can be utilized further by the application to identify places nearby. In finding a path's surrounding area, the RouteBoxer algorithm defines a grid of rectangles that cover the whole path and marks rectangles nearby by traversing the path. However, the algorithm's computational performance becomes unacceptably slow when the path contains many path points. The RouteBoxer algorithm accepts a collection of geolocation points to represent the path and a user-specified distance away from the path to identify the area surrounding the path. This research measures the algorithm performance while incorporating the Douglas-Peucker line simplification algorithm to reduce the number of points processed by the RouteBoxer algorithm, hence improve its processing performance. An experiment shows that the path simplification process reduces up to 99% points of a path, improves the original RouteBoxer calculation performance up to 87.8 times faster, and maintains its precision above 92.6%.","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":"129564114","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