2019 International Conference on Advanced Computer Science and information Systems (ICACSIS)最新文献_第7页

Toward Improving Similar Item Recommendation for a C2C Marketplace 改进C2C市场的同类商品推荐

2019 International Conference on Advanced Computer Science and information Systems (ICACSIS) Pub Date : 2019-10-01 DOI: 10.1109/ICACSIS47736.2019.8979770

Lisbeth Evalina, Aditya Iftikar Riaddy, Septiviana Savitri, Reza Aditya Permadi

引用次数: 0

Wavelength Selection of Persimmon Leafusing Decision Tree Method in Visible Near-Infrared Imaging 决策树法在柿叶可见光近红外成像中的波长选择

2019 International Conference on Advanced Computer Science and information Systems (ICACSIS) Pub Date : 2019-10-01 DOI: 10.1109/ICACSIS47736.2019.8979998

Femilia Putri Mayranti, A. H. Saputro, W. Handayani

{"title":"Wavelength Selection of Persimmon Leafusing Decision Tree Method in Visible Near-Infrared Imaging","authors":"Femilia Putri Mayranti, A. H. Saputro, W. Handayani","doi":"10.1109/ICACSIS47736.2019.8979998","DOIUrl":"https://doi.org/10.1109/ICACSIS47736.2019.8979998","url":null,"abstract":"Phenolic compounds are one of the secondary metabolites in vegetation. In general, total phenolic content can be measured using a biological approach that requires some preparation time and destructive. In this study, total phenolic content was predicted using Visible Near-Infrared (VNIR) Imaging approach. VNIR analysis in the spectral range of 400-1000 nm was used to predict the total phenolic content of velvet apple leaf non-destructively. Spectral features from samples are calculated based on the average reflectances area of leaves with a spatial dimension of 20×20 pixels in 224 spectral features. The optimal feature selection was performed using the Decision Tree (DT) method. Decision Tree Regression (DTR) algorithm was applied to predict measured values based on spectral features. Sample data evaluated with cross-validation to calculated system perform. The best performance of prediction system which has 30 optimal wavelength band with the determination coefficient (R2) of 0.92 and root mean square of the relative error (RMSE) of 3.48 in predicting the total phenolic content in a Velvet apple leaf.","PeriodicalId":165090,"journal":{"name":"2019 International Conference on Advanced Computer Science and information Systems (ICACSIS)","volume":"120 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133136506","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

Playability Evaluation on Self-Control Application with Gamification Concept: Case Study Forest 基于游戏化理念的自我控制应用可玩性评价:以森林为例

2019 International Conference on Advanced Computer Science and information Systems (ICACSIS) Pub Date : 2019-10-01 DOI: 10.1109/ICACSIS47736.2019.8979872

Farhan Anwar, S. Fadhilah, H. Santoso

引用次数: 0

The Social Humanism Factor in Digital Empowerment in Indonesia Study on Kampung Blogger, Menowo Village, Central Java : Study on Kampung Blogger, Menowo Village, Central Java 印尼数位赋权的社会人文因素研究，中爪哇Menowo村Kampung部落客研究，中爪哇Menowo村Kampung部落客研究

2019 International Conference on Advanced Computer Science and information Systems (ICACSIS) Pub Date : 2019-10-01 DOI: 10.1109/ICACSIS47736.2019.8979911

M. R. Safira, I. Irwansyah

引用次数: 3

Evaluation and Recommendations for edX MOOC Platform based on Instructional Design and Interaction Design Principles 基于教学设计与交互设计原则的edX MOOC平台评价与建议

2019 International Conference on Advanced Computer Science and information Systems (ICACSIS) Pub Date : 2019-10-01 DOI: 10.1109/ICACSIS47736.2019.8979779

Citra Glory, Kasiyah, H. Santoso

引用次数: 3

Use Case Points based software effort prediction using regression analysis 使用回归分析的基于用例点的软件工作预测

2019 International Conference on Advanced Computer Science and information Systems (ICACSIS) Pub Date : 2019-10-01 DOI: 10.1109/ICACSIS47736.2019.8979851

Ardiansyah, R. Ferdiana, A. E. Permanasari

{"title":"Use Case Points based software effort prediction using regression analysis","authors":"Ardiansyah, R. Ferdiana, A. E. Permanasari","doi":"10.1109/ICACSIS47736.2019.8979851","DOIUrl":"https://doi.org/10.1109/ICACSIS47736.2019.8979851","url":null,"abstract":"Software development effort prediction was an important stages in project planning. Poor prediction would lead to project failure, losing tenders and reduced profits. Several studies have improved Use Case Points as the effort prediction model using regression analysis. However, evaluation performance on the prediction models were biased and produce an asymmetric error distribution. Moreover, the dataset used were primarily from industrial, and less from universities. This study aims to investigate the performance of the regression model in terms of software development effort prediction based on Use Case Points using standardized accuracy (SA) and effect size (Δ) as the evaluation measurement. From the experiment results, regression model yielded 92%-0.64, 96%-1.86, and 69%-0.53 in term of SA and (Δ) over dataset DS1, DS3, and DS4, respectively. Experiment results shows that regression model yielded the best accuracy compared with the Karner model over three dataset. In the future, our results maybe used in development of effort prediction framework for calculating software project costs.","PeriodicalId":165090,"journal":{"name":"2019 International Conference on Advanced Computer Science and information Systems (ICACSIS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125014490","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

Analysis of Knowledge Management Readiness Level: A Case Study in STIS Polytechnic of Statistics 知识管理准备水平分析:以上海科技大学统计职业技术学院为例

2019 International Conference on Advanced Computer Science and information Systems (ICACSIS) Pub Date : 2019-10-01 DOI: 10.1109/ICACSIS47736.2019.8979981

Yulianto Budi Prabowo, D. I. Sensuse, Sofian Lusa

引用次数: 2

Designing Alternative Interface Design of e-Learning Modules based on Felder-Silverman Learning Styles and User Centered Design Approach 基于Felder-Silverman学习风格和以用户为中心的设计方法的电子学习模块界面设计

2019 International Conference on Advanced Computer Science and information Systems (ICACSIS) Pub Date : 2019-10-01 DOI: 10.1109/ICACSIS47736.2019.8979717

L. M. Hasani, H. Santoso, R. Isal

{"title":"Designing Alternative Interface Design of e-Learning Modules based on Felder-Silverman Learning Styles and User Centered Design Approach","authors":"L. M. Hasani, H. Santoso, R. Isal","doi":"10.1109/ICACSIS47736.2019.8979717","DOIUrl":"https://doi.org/10.1109/ICACSIS47736.2019.8979717","url":null,"abstract":"Presently, only a handful of research focuses on the development of interface design for e-Learning modules based on various learning styles. The current studies on this field are still limited to some usability issues which ranging from inadequate usability of the proposed design to exclusion of important user research. Nevertheless, interface design is undoubtedly a crucial aspect influencing the success of an e-Learning system implementation. This paper outlines a user-centered study focusing on the development of an alternative interface design of e-Learning modules based on Felder-Silverman learning styles and User Centered Design approach by utilizing mixed methods. The study analyzes users’ learning styles, learning object preferences, interface preference, and pain points extracted from a user research which includes semi-structured interviews and certain coding techniques. The results are used as a primary guideline in order to create an alternative interface design for eLearning modules. Three out of four proposed alternative designs have better usability than the designs from the previous study based on System Usability Score measurement.","PeriodicalId":165090,"journal":{"name":"2019 International Conference on Advanced Computer Science and information Systems (ICACSIS)","volume":"2 4 And 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126141054","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

Analysis of Protein-Protein Interaction Using Skyline Query on Parkinson Disease 利用Skyline查询分析帕金森病的蛋白-蛋白相互作用

2019 International Conference on Advanced Computer Science and information Systems (ICACSIS) Pub Date : 2019-10-01 DOI: 10.1109/ICACSIS47736.2019.8979892

M. R. Diansyah, W. Kusuma, Annisa

引用次数: 5

Firmness Prediction System of Waxed Malang Apples using Hyperspectral Imaging 利用高光谱成像技术预测打蜡麻郎苹果的硬度

2019 International Conference on Advanced Computer Science and information Systems (ICACSIS) Pub Date : 2019-10-01 DOI: 10.1109/ICACSIS47736.2019.8979817

Risti Putri, A. H. Saputro

{"title":"Firmness Prediction System of Waxed Malang Apples using Hyperspectral Imaging","authors":"Risti Putri, A. H. Saputro","doi":"10.1109/ICACSIS47736.2019.8979817","DOIUrl":"https://doi.org/10.1109/ICACSIS47736.2019.8979817","url":null,"abstract":"These days, the wax coating was applied on fruits to maintain its quality and extend the shelf life. The quality measurement of waxed fruits was destructive in most cases. In this study, hyperspectral imaging was used to predict the quality of the fruits non-destructively. The quality of fruits that predicted was firmness. Firmness is one of the parameters that determine the maturity of the fruits. The objects that used was Rome Beauty variety of Malang apples. Wax coating on Malang apples used wax emulsion made of beeswax, coconut oil, and sunflower oil. Image acquisition of Malang apples used reflectance mode with wavelengths 400-1000nm. Image processing steps included image correction, Region of Interest (ROI) selection, feature extraction, dimension reduction, and regression model. Partial Least Square Regression (PLSR) was used as a dimension reduction and regression model algorithm. The prediction model was built using non-waxed Malang apples, waxed Malang apples, and a combination of non-waxed Malang apples and waxed Malang apples. Root Mean Square Error (RMSE), Determination Coefficient (R2), and Residual Predictive Deviation (RPD) are evaluation parameters used to determine the performance of the model. The performance of model PLSR using waxed Malang apples were 0.96 for R2; 4.38 for RMSE, and 2.13 for RPD respectively. Based on these results, the firmness prediction system can be implemented to measure the quality of waxed fruit non-destructively.","PeriodicalId":165090,"journal":{"name":"2019 International Conference on Advanced Computer Science and information Systems (ICACSIS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131028213","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