{"title":"An adaptive background estimation for real-time object localization on a color-coded environment","authors":"Peter Chondro, S. Ruan","doi":"10.1109/ICACSIS.2016.7872756","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872756","url":null,"abstract":"Object localization is a powerful technique to analyze certain features on particular objects for either general or specific purpose(s). To localize object within image frames, the background subtraction scheme is generally implemented as an unequivocal technique that pre-processes die corresponding input frame. Nevertheless, despite the prior developments and applications of various techniques for estimating backgrounds, eminent challenges remain in achieving real-time applications and robust detection. In this paper, an adaptive background estimation technique models specific color-coded environment to localize objects through color-based pixel-wise subtraction is proposed. Experimental evaluations indicate the grandeur of the proposed method compared with prior methods.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131412653","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}
{"title":"Comparative analysis of string similarity and corpus-based similarity for automatic essay scoring system on e-learning gamification","authors":"Eko Sakti Pramukantoro, M. Fauzi","doi":"10.1109/ICACSIS.2016.7872785","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872785","url":null,"abstract":"Essay assessment within e-learning need to be conducted manually by human expert. This process takes time and costly. Hence, automatic essay scoring is needed. Since the scoring system will be integrated to the e-learning, we need a computationally lightweight method that still does not rule out the accuracy of the assessment. In this paper, we propose an automatic scoring system for essay examination using unsupervised approaches. We compare and analyze two similarity measure methods, cosine similarity and latent semantic analysis. The parameters that was used to measure the performance of the methods are the computational complexity — measured by the amount of CPU and memory usage, and page load time — and accuracy — measured by Pearson Correlation and Mean Absolute Error. The results showed that both algorithm consumed same amount of memory. For CPU usage, LSA consumption is 0.13% and cosine's is 0.06%. For page load time, cosine similarity is faster than LSA which is 0.2 second and 0.5 second consecutively. Based on the correlation measure with Pearson, LSA is more superior to the cosine similarity by 0.59 to 0.49. LSA also has less MAE than cosine similarity which is 5.69 compared to 5.33. From that result, LSA and Cosine Similarity has a very competitive result in accuracy. However, Cosine has a better server performance so that preferred to be implemented in e-learning automatic essay scoring system.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128263528","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}
{"title":"Human emotion recognition based on active appearance model and semi-supervised fuzzy C-means","authors":"D. Liliana, M. R. Widyanto, T. Basaruddin","doi":"10.1109/ICACSIS.2016.7872744","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872744","url":null,"abstract":"Human emotion recognition is an emerging research area in the field of social signal processing. Facial expression is an important means to detect human emotion. The problem is some facial expressions represent similar emotions. Thus, the recognition must consider the ambiguity in the way human expresses emotions through face. Existing methods do not take into account the level of expression's ambiguity. In our research, we specify face points and display the degree of fuzzy cluster on eight face emotions, namely anger, contempt, disgust, happy, surprise, sadness, fear, and neutral. The proposed methods are based on Active Appearance Model (AAM) and semi-supervised Fuzzy C-means (FCM). We tested the system on Cohn Kanade+ dataset of facial expression which provided eight classes of human emotion. Our methods gain an average accuracy rate of 80.71% and surpass the existing Fuzzy Inference System.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128892837","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}
{"title":"Combining topological and topical features for community detection","authors":"Retnani Latifah, M. Adriani","doi":"10.1109/ICACSIS.2016.7872775","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872775","url":null,"abstract":"Community detection is an important approach to identify community's structure in a network and can also be considered as graph clustering. This paper conducted a research about community detection using combined topological and topical features in Twitter. The combined features were compared to topological only and topical only. The topological features that were used are following-follower relationship and retweet-favorite ratio while topical features are hashtags, mentions, links and tweets. This research proposed a new node weight using retweet-favorite ratio to build topological matrix and it has been proved to have higher purity value by 30–40% and higher rand index value by 10–20%. The purity value of combining topological and topical features is also improved by 30% compared to using following-follower relationship as topological features. The highest rand index and purity values are achieved by matrix of combinied topological and topical features with multilevel community detection as clustering algorithm with 0.89 and 0.77.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132597931","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}
{"title":"Query refinement in recommender system based on product functional requirements","authors":"Z. Baizal, D. H. Widyantoro, N. Maulidevi","doi":"10.1109/ICACSIS.2016.7872760","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872760","url":null,"abstract":"One of the advantages of conversational recommender system (CRS) is its ability to guide user in expressing their needs through conversation mechanism. In many cases, customers are often unable to express their needs clearly at the beginning of the interaction. CRS guides customer (user) to clarify his needs through the mechanism of query refinement. Not all customers are familiar with the technical features of product, especially for hightech product that has many features (complex products). Therefore, asking the customer's needs based on functionalities of product that he/she really wants (product functional requirements) is a more natural way for eliciting customer preference. This paper proposes a model of query refinement that is able to guide users to express their needs based on the functional requirements of product. The model was developed by utilizing exploration of semantic relations on ontology. The evaluation result shows that our proposed model is able to narrow down the average result's size significantly within short interactions.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"8 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132388985","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}
{"title":"Adaptive genetic algorithm for reliable training population in plant breeding genomic selection","authors":"S. C. Purbarani, Ito Wasito, Ilham Kusuma","doi":"10.1109/ICACSIS.2016.7872803","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872803","url":null,"abstract":"Many algorithms are developed to model Genomic Estimated Breeding Value (GEBV). Modeling GEBV evolves a huge size of genotype in both terms of the dimension (columns) and the instances (rows). Good combinations of features help in predicting which phenotype is being represented. Preparing a good training population sample is assumed to be a convenient solution to deal with such complex genotype data. In this research, an Adaptive Genetic Algorithm (AGA) is proposed. The adaptive characteristic of AGA by adjusting probabilities in crossover and mutation is expected to converge into the global optimum without getting trapped in local optima. The proposed method using AGA to optimize the feature selection and shrinkage mechanism is looked forward to provide a reliable model to be reused in other similar datasets.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"7 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132547112","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}
M. Reta, A. Hidayanto, P. Sandhyaduhita, B. Nazief
{"title":"Inhibiting factors of Service Level Agreement (SLA) adoption in Government to Citizen (G2C) services: A case of Indonesia","authors":"M. Reta, A. Hidayanto, P. Sandhyaduhita, B. Nazief","doi":"10.1109/ICACSIS.2016.7872800","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872800","url":null,"abstract":"To guarantee the quality of service towards citizens, government agencies have performed the implementation of Service Level Agreement (SLA) in their e-Government services. The fact in some countries applying SLA showed that there was an increase in the quality of service. In Indonesia, however, the implementation of SLA on e-Government (G2C) services is still relatively low, thus this study aims to determine the inhibiting factors in the adoption of SLA in Indonesia using DEMATEL model. Nine initial inhibiting factors were obtained from the literature review. Then, questionnaires based on DEMATEL model were designed and distributed to each echelon 2 unit that manages e-government in 32 government institutions. Ten institutions filled and returned the questionnaires. The results showed the lack of leadership support is the prime inhibiting factor in the adoption of SLA in Indonesia.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130079776","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}
{"title":"Automatic features reduction procedures in palm vein recognition","authors":"Prasti Eko Yunanto, H. Nugroho, W. T. Agung Budi","doi":"10.1109/ICACSIS.2016.7872738","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872738","url":null,"abstract":"Feature or dimensionality reduction has become one of fundamental problem in the field of pattern recognition such as biometrics. Selecting the number of feature or dimension has become one challenge. Instead selecting number of feature manually, this work proposed a procedure for feature reduction by finding the correlation between recognition rates and number of features. The procedure started with collecting recognition rates from available classes against a number of features and then calculated some variables from the distribution to be used as anchors for estimating number of features in case there are new classes to be added. This study was applied on a palm vein biometrics system which used DCT and k-PCA as features extraction method. The results of the experiment showed that the procedure was able to achieve a number of features that have an average offset of less than 6 from those obtained from direct observation and an average error of 1.1% from the real recognition rates.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"42 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131873183","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}
A. Arshad, Novian Habibie, A. Wibisono, P. Mursanto, W. S. Nugroho, W. Jatmiko
{"title":"Sensor node for data sampling and correlation analysis of CO2 concentration with air humidity, temperature, and light intensity","authors":"A. Arshad, Novian Habibie, A. Wibisono, P. Mursanto, W. S. Nugroho, W. Jatmiko","doi":"10.1109/ICACSIS.2016.7872793","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872793","url":null,"abstract":"Carbon Dioxide gas (CO2) gas contained in our air which has many roles in environment, but in a huge amount it became dangerous. To encounter that, the system for CO2 monitoring is needed. One of the most effective way is using Wireless Sensor Network (WSN). This system capable to monitor concentration of CO2 and another variable using sensor nodes. But not all of that parameters is correlated to concentration of CO2. To make monitoring system runs efficiently, correlation analysis between variables is needed. This research conduct a correlation analysis between concentration of CO2 and humidity, temperature and light intensity from data collected by our own-made digital sensor node. Data gathered for seven days in one location with a fluctuate environment condition. Correlation calculated with Spearman's rho method. The result is CO2 and air humidity have a strong positive correlation with air humidity (0.726), weak negative correlation with light intensity (−0.319), and no correlation with air temperature (−0.008).","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124812756","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}
{"title":"Impact of express delivery service quality towards repurchase intention by B2C and C2C: A case of Indonesia","authors":"Yoga Nurdani, P. Sandhyaduhita","doi":"10.1109/ICACSIS.2016.7872779","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872779","url":null,"abstract":"Express delivery is claimed to be a critical factor that affects e-commerce customer satisfaction and previous studies showed that customer satisfaction in turn affects customer's intention to repurchase. However, no research has discussed the relationship between express delivery service quality to repurchase intention in e-commerce. Thus, perceiving the importance of the express delivery service quality to the e-commerce industry, this research aims to examine the impact of express delivery service quality especially in B2C and C2C e-commerce. This study was conducted using a quantitative approach by distributing questionnaires to B2C or C2C e-commerce customers who ever made a purchase and had the goods shipped using express delivery services. Data of 582 respondents were collected and then analyzed using Covariance Based SEM (CB-SEM) with AMOS 22. The results showed that responsiveness and empathy dimensions of express delivery's service quality dimension give positive influence towards both customer satisfaction and trust to shop online, which will subsequently give positive influence toward repurchase intention.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125530839","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}