This study stems from actual challenges that we face in building a recommender system at Bukalapak. Our existing recommendation system, which is an item-to-item collaborative filtering based on co-view method has helped users during their shopping journey by offering them similar items recommendation in the product detail page. However, our baseline system has not utilized the information on how the user perceives the recommendation offered in our recommendation widget. This paper discusses how we improve our recommendation system with point-wise Learning-to-Rank (LTR) method. We also present specific features that support the LTR performance. Finally, we evaluate the LTR model by offline evaluation metrics and online A/B test, where we compare our baseline by using the model to rerank the candidates item before presenting them as recommendation sets. By calculating the Click Through Rate (CTR), it shows that the LTR method can outperform the baseline by 1.63%.
{"title":"Toward Improving Similar Item Recommendation for a C2C Marketplace","authors":"Lisbeth Evalina, Aditya Iftikar Riaddy, Septiviana Savitri, Reza Aditya Permadi","doi":"10.1109/ICACSIS47736.2019.8979770","DOIUrl":"https://doi.org/10.1109/ICACSIS47736.2019.8979770","url":null,"abstract":"This study stems from actual challenges that we face in building a recommender system at Bukalapak. Our existing recommendation system, which is an item-to-item collaborative filtering based on co-view method has helped users during their shopping journey by offering them similar items recommendation in the product detail page. However, our baseline system has not utilized the information on how the user perceives the recommendation offered in our recommendation widget. This paper discusses how we improve our recommendation system with point-wise Learning-to-Rank (LTR) method. We also present specific features that support the LTR performance. Finally, we evaluate the LTR model by offline evaluation metrics and online A/B test, where we compare our baseline by using the model to rerank the candidates item before presenting them as recommendation sets. By calculating the Click Through Rate (CTR), it shows that the LTR method can outperform the baseline by 1.63%.","PeriodicalId":165090,"journal":{"name":"2019 International Conference on Advanced Computer Science and information Systems (ICACSIS)","volume":"7 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":"130402952","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}
Pub Date : 2019-10-01DOI: 10.1109/ICACSIS47736.2019.8979998
Femilia Putri Mayranti, A. H. Saputro, W. Handayani
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.
酚类化合物是植物次生代谢产物之一。一般来说，总酚含量可以用生物学方法测量，需要一些准备时间和破坏性。本研究采用可见光近红外(VNIR)成像方法预测总酚含量。采用400 ~ 1000 nm紫外近红外光谱法对丝绒苹果叶片总酚含量进行了无损预测。基于224个光谱特征中空间维度为20×20像素的叶片的平均反射率面积，计算样品的光谱特征。使用决策树(DT)方法进行最优特征选择。采用决策树回归(Decision Tree Regression, DTR)算法，基于光谱特征对测量值进行预测。通过交叉验证评估样本数据以计算系统性能。结果表明，30个最优波段的预测系统对丝绒苹果叶片总酚含量的预测效果最佳，其决定系数(R2)为0.92，相对误差(RMSE)的均方根为3.48。
{"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}
Pub Date : 2019-10-01DOI: 10.1109/ICACSIS47736.2019.8979872
Farhan Anwar, S. Fadhilah, H. Santoso
This study aims to evaluate of Forest: Stay Focus, a self-control application that use gamification as their main concept of the application, according to factors affecting intention to use the application (playability). Factors affecting intention to use the application used in this study are playability factors which contain game usability (GU), gameplay (GP), and game multiplayer (MP). After participants use Forest for about a week, the evaluation is conducted with contextual interview and focus group discussion (FGD). Data were analyzed using affinity diagram, Bartle ’s test of gaming style, and also codification. The result shows that Forest version 4.7.1 has 16 playability issue. This study also give 8 design ecommendation based on the problem found in evaluation process.
{"title":"Playability Evaluation on Self-Control Application with Gamification Concept: Case Study Forest","authors":"Farhan Anwar, S. Fadhilah, H. Santoso","doi":"10.1109/ICACSIS47736.2019.8979872","DOIUrl":"https://doi.org/10.1109/ICACSIS47736.2019.8979872","url":null,"abstract":"This study aims to evaluate of Forest: Stay Focus, a self-control application that use gamification as their main concept of the application, according to factors affecting intention to use the application (playability). Factors affecting intention to use the application used in this study are playability factors which contain game usability (GU), gameplay (GP), and game multiplayer (MP). After participants use Forest for about a week, the evaluation is conducted with contextual interview and focus group discussion (FGD). Data were analyzed using affinity diagram, Bartle ’s test of gaming style, and also codification. The result shows that Forest version 4.7.1 has 16 playability issue. This study also give 8 design ecommendation based on the problem found in evaluation process.","PeriodicalId":165090,"journal":{"name":"2019 International Conference on Advanced Computer Science and information Systems (ICACSIS)","volume":"33 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":"133835598","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}
Pub Date : 2019-10-01DOI: 10.1109/ICACSIS47736.2019.8979911
M. R. Safira, I. Irwansyah
The following study examines the social humanism dimension in digital empowerment in the context of society of Indonesia. A research was conducted in two stages, First, qualitatively with interviews and observations, Second, quantitatively for factors testing. Qualitative research with thematic design was conducted with interviews and observations on individuals involved in Kampung Blogger in Menowo Village, Magelang, Central Java. The interviews and observations results gave indicators on social humanism and the usage of digital technology, which were then tested on grade X and XI students of SMAN 1 Magelang. The result of this research suggests the need to look at digital technology usage from the context of society to enable programs which suit the needs of each society in the future. On top of that, the testing of digital empowerment and social humanism factor in the context of Indonesia can serve as a beneficial input in measuring the digital empowerment level in the society.
{"title":"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","authors":"M. R. Safira, I. Irwansyah","doi":"10.1109/ICACSIS47736.2019.8979911","DOIUrl":"https://doi.org/10.1109/ICACSIS47736.2019.8979911","url":null,"abstract":"The following study examines the social humanism dimension in digital empowerment in the context of society of Indonesia. A research was conducted in two stages, First, qualitatively with interviews and observations, Second, quantitatively for factors testing. Qualitative research with thematic design was conducted with interviews and observations on individuals involved in Kampung Blogger in Menowo Village, Magelang, Central Java. The interviews and observations results gave indicators on social humanism and the usage of digital technology, which were then tested on grade X and XI students of SMAN 1 Magelang. The result of this research suggests the need to look at digital technology usage from the context of society to enable programs which suit the needs of each society in the future. On top of that, the testing of digital empowerment and social humanism factor in the context of Indonesia can serve as a beneficial input in measuring the digital empowerment level in the society.","PeriodicalId":165090,"journal":{"name":"2019 International Conference on Advanced Computer Science and information Systems (ICACSIS)","volume":"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":"122249795","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}
Pub Date : 2019-10-01DOI: 10.1109/ICACSIS47736.2019.8979717
L. M. Hasani, H. Santoso, R. Isal
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.
{"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}
Pub Date : 2019-10-01DOI: 10.1109/ICACSIS47736.2019.8979892
M. R. Diansyah, W. Kusuma, Annisa
Significant protein is an important protein needed by the body for growth. Protein disorders can cause organ diseases or dysfunction. In carrying out their functions, proteins interact with each others to form protein-protein interaction (PPI) networks. To find the most important protein in a network, centrality measures can be used with various criteria according to the parameter specified. This study uses skyline query, an algorithm for finding non-dominated data, to get optimal results for problems with various criteria. Some centrality measures are used as attributes to represent the PPI network features. The aim of this study is to find significant proteins of Parkinson, one of the fastest growing diseases in the world. The results find 14 proteins, according to the literature, 12 of them are related Parkinson Disease. These proteins are PARK2, SNCA, ATP13A2, TP53, MAPT, FYN, HSF1, DRD2, VEGFA, AKT1, MPO, and SLC18A2.
{"title":"Analysis of Protein-Protein Interaction Using Skyline Query on Parkinson Disease","authors":"M. R. Diansyah, W. Kusuma, Annisa","doi":"10.1109/ICACSIS47736.2019.8979892","DOIUrl":"https://doi.org/10.1109/ICACSIS47736.2019.8979892","url":null,"abstract":"Significant protein is an important protein needed by the body for growth. Protein disorders can cause organ diseases or dysfunction. In carrying out their functions, proteins interact with each others to form protein-protein interaction (PPI) networks. To find the most important protein in a network, centrality measures can be used with various criteria according to the parameter specified. This study uses skyline query, an algorithm for finding non-dominated data, to get optimal results for problems with various criteria. Some centrality measures are used as attributes to represent the PPI network features. The aim of this study is to find significant proteins of Parkinson, one of the fastest growing diseases in the world. The results find 14 proteins, according to the literature, 12 of them are related Parkinson Disease. These proteins are PARK2, SNCA, ATP13A2, TP53, MAPT, FYN, HSF1, DRD2, VEGFA, AKT1, MPO, and SLC18A2.","PeriodicalId":165090,"journal":{"name":"2019 International Conference on Advanced Computer Science and information Systems (ICACSIS)","volume":"15 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":"128463128","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}
Pub Date : 2019-10-01DOI: 10.1109/ICACSIS47736.2019.8979817
Risti Putri, A. H. Saputro
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.
{"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}
Pub Date : 2019-10-01DOI: 10.1109/ICACSIS47736.2019.8979981
Yulianto Budi Prabowo, D. I. Sensuse, Sofian Lusa
College as an educational institution has an obligation to organize education, research, and community service. Previous studies have mentioned that college problems related to lack of knowledge sharing, access to scientific resources, and collaboration indicate the need of knowledge management (KM). This study aims to determine the level of readiness of STIS Polytechnic of Statistics (Polstat STIS) in implementing KM as well as providing recommendations to improve its readiness. The KM readiness framework is validated by experts and weighted with Analytic Hierarchy Process (AHP). Questionnaires are distributed to lecturers and staffs. The results show that individual and technology aspects are at the ready level, while organization, culture, and physical environment aspects are at the preliminary level. Overall the score of Polstat STIS KM readiness is 71% or at the preliminary level. This means that Polstat STIS has begun to have readiness in implementing KM.
{"title":"Analysis of Knowledge Management Readiness Level: A Case Study in STIS Polytechnic of Statistics","authors":"Yulianto Budi Prabowo, D. I. Sensuse, Sofian Lusa","doi":"10.1109/ICACSIS47736.2019.8979981","DOIUrl":"https://doi.org/10.1109/ICACSIS47736.2019.8979981","url":null,"abstract":"College as an educational institution has an obligation to organize education, research, and community service. Previous studies have mentioned that college problems related to lack of knowledge sharing, access to scientific resources, and collaboration indicate the need of knowledge management (KM). This study aims to determine the level of readiness of STIS Polytechnic of Statistics (Polstat STIS) in implementing KM as well as providing recommendations to improve its readiness. The KM readiness framework is validated by experts and weighted with Analytic Hierarchy Process (AHP). Questionnaires are distributed to lecturers and staffs. The results show that individual and technology aspects are at the ready level, while organization, culture, and physical environment aspects are at the preliminary level. Overall the score of Polstat STIS KM readiness is 71% or at the preliminary level. This means that Polstat STIS has begun to have readiness in implementing KM.","PeriodicalId":165090,"journal":{"name":"2019 International Conference on Advanced Computer Science and information Systems (ICACSIS)","volume":"9 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120841776","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}
Pub Date : 2019-10-01DOI: 10.1109/ICACSIS47736.2019.8979851
Ardiansyah, R. Ferdiana, A. E. Permanasari
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.
{"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}
Pub Date : 2019-10-01DOI: 10.1109/ICACSIS47736.2019.8979779
Citra Glory, Kasiyah, H. Santoso
MOOCs are quite well-known internationally. The development of the MOOC has even taken place rapidly in various countries. However, MOOCs in Indonesia do not seem to be popular or growing. This study aims to evaluate one of MOOC platforms, edX, in the Indonesian context involving 279 participants mostly from Jabodetabek (Jakarta, Bogor, Depok, Tangerang, and Bekasi). The evaluation is only done on free courses, and is based on instructional design and interaction design principles: Gagne’s Nine Levels of Learning and Chickering, Gamson's Seven Principles of Good Practice in Undergraduate Education, and Shneiderman's Eight Golden Rules of the Interface Design. The results of this study indicate that assessing performance (Gagne’s Nine Levels of Learning) and emphasizing time on task (Chickering and Gamson’s Seven Principles of Good Practice in Undergraduate Education) have not been fully implemented by edX. Alternative design recommendations are proposed to improve the edX website based on the principles that have not been met.
{"title":"Evaluation and Recommendations for edX MOOC Platform based on Instructional Design and Interaction Design Principles","authors":"Citra Glory, Kasiyah, H. Santoso","doi":"10.1109/ICACSIS47736.2019.8979779","DOIUrl":"https://doi.org/10.1109/ICACSIS47736.2019.8979779","url":null,"abstract":"MOOCs are quite well-known internationally. The development of the MOOC has even taken place rapidly in various countries. However, MOOCs in Indonesia do not seem to be popular or growing. This study aims to evaluate one of MOOC platforms, edX, in the Indonesian context involving 279 participants mostly from Jabodetabek (Jakarta, Bogor, Depok, Tangerang, and Bekasi). The evaluation is only done on free courses, and is based on instructional design and interaction design principles: Gagne’s Nine Levels of Learning and Chickering, Gamson's Seven Principles of Good Practice in Undergraduate Education, and Shneiderman's Eight Golden Rules of the Interface Design. The results of this study indicate that assessing performance (Gagne’s Nine Levels of Learning) and emphasizing time on task (Chickering and Gamson’s Seven Principles of Good Practice in Undergraduate Education) have not been fully implemented by edX. Alternative design recommendations are proposed to improve the edX website based on the principles that have not been met.","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":"114743551","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}
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