2019 International Congress on Applied Information Technology (AIT)最新文献

Game Development with Scrum methodology 使用Scrum方法进行游戏开发

2019 International Congress on Applied Information Technology (AIT) Pub Date : 2019-11-01 DOI: 10.1109/AIT49014.2019.9144963

Dedy Prasetya Kristiadi, Ferry Sudarto, Dian Sugiarto, Richard Sambera, H. Warnars, Kiyota Hashimoto

引用次数: 8

Review of Recent Eduinformatics Research 教育信息学研究近况

2019 International Congress on Applied Information Technology (AIT) Pub Date : 2019-11-01 DOI: 10.1109/AIT49014.2019.9144820

Kunihiko Takamatsu, Yasuhiro Kozaki, Katsuhiko Murakami, Aoi Sugiura, Kenya Bannaka, Kenichiro Mitsunari, Masato Omori, Yasuo Nakata

引用次数: 2

Implementation of K-Nearest Neighbor for Classification Teacher Engagement Profiling and Interventions 基于k近邻的教师敬业度分类分析及干预措施的实施

2019 International Congress on Applied Information Technology (AIT) Pub Date : 2019-11-01 DOI: 10.1109/AIT49014.2019.9144874

Sucianna Ghadati Rabiha, Sasmoko, Y. Indrianti

引用次数: 1

A Multiagent Learning Approach for Distributed Control of Address Randomization in Communication Destination Anonymization 通信目的地匿名化中地址随机化分布式控制的多智能体学习方法

2019 International Congress on Applied Information Technology (AIT) Pub Date : 2019-11-01 DOI: 10.1109/AIT49014.2019.9144766

Keita Sugiyama, Naoki Fukuta

引用次数: 0

Prediction of Tobacco Leave Grades with Ensemble Machine Learning Methods 用集成机器学习方法预测烟叶等级

2019 International Congress on Applied Information Technology (AIT) Pub Date : 2019-11-01 DOI: 10.1109/AIT49014.2019.9144951

Hari Suparwito, A. M. Polina

{"title":"Prediction of Tobacco Leave Grades with Ensemble Machine Learning Methods","authors":"Hari Suparwito, A. M. Polina","doi":"10.1109/AIT49014.2019.9144951","DOIUrl":"https://doi.org/10.1109/AIT49014.2019.9144951","url":null,"abstract":"For many years, the Indonesian economy is influenced by the role of tobacco. It is not only for international trade but also for the farmers who plant the tobacco. However, to find a good tobacco grade is not easy. Many factors affect tobacco leaves grade. This paper focuses on developing a machine learning method to predict and determine the tobacco grade based on the environment condition and the plantation. Four independent variables that are temperature, sunlight hours, humidity, rainfall, and the plantation were used as a predictor to one target variable, which is the tobacco leaves grade. We applied two regression methods: Random Forest and Gradient Boosting Machine to predict whether there is a relationship between independent and dependent variables. The results depicted that Gradient Boosting Machine and Random Forest methods could be done to predict the tobacco grade successfully. The result also showed that Gradient Boosting Machine is superior to Random Forest in two experiments (with and without the plantation variables). Finally, to find the influenced variable for predicting the tobacco grade, i.e. sunlight hours has been performed.","PeriodicalId":359410,"journal":{"name":"2019 International Congress on Applied Information Technology (AIT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122964777","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

A Hybrid Particle Swarm Optimization with Crossover and Mutation of Genetic Algorithm for Solving the Wide Constraint Problem 求解宽约束问题的混合粒子群交叉与变异遗传算法

2019 International Congress on Applied Information Technology (AIT) Pub Date : 2019-11-01 DOI: 10.1109/AIT49014.2019.9144935

Herlawati, Y. Heryadi, Lukas

{"title":"A Hybrid Particle Swarm Optimization with Crossover and Mutation of Genetic Algorithm for Solving the Wide Constraint Problem","authors":"Herlawati, Y. Heryadi, Lukas","doi":"10.1109/AIT49014.2019.9144935","DOIUrl":"https://doi.org/10.1109/AIT49014.2019.9144935","url":null,"abstract":"When optimizing the spatial data, a lot of constraints should be handled. Some constraints might be too wide for a metaheuristic algorithm, e.g. particle swarm optimization, to allocate the candidate locations outside a wide constraint. However, particle swarm optimization notably has fast computation characteristic and many researchers used this method for optimizing their spatial data. In the other hand, genetic algorithm has not only better exploitation-characteristic performance in searching but also has mutation and crossover that was proven in this study can be overcome the wide constraint problem. To minimize the drawback of genetic algorithm, i.e. need many computation resources, the hybrid particle swarm optimization with genetic algorithm through the use of crossover and mutation was used. Half of lower fitness values from particle swarm optimization were optimized using crossover and mutation in genetic algorithm. After merging the results of both methods, the optimum location showed that the proposed method was able to allocate the land use in a case study area outside the wide constraint.","PeriodicalId":359410,"journal":{"name":"2019 International Congress on Applied Information Technology (AIT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128654719","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

Long Short-Term Memory for Human Fall Detection Based Gamification on Unconstraint Smartphone Position 基于无约束智能手机位置游戏化的人体跌倒检测长短期记忆

2019 International Congress on Applied Information Technology (AIT) Pub Date : 2019-11-01 DOI: 10.1109/AIT49014.2019.9144759

M. S. Astriani, Y. Heryadi, Gede Putra Kusuma, E. Abdurachman

引用次数: 3

Experimentation of Gamification for Health and Fitness Mobile Application 健康和健身移动应用的游戏化实验

2019 International Congress on Applied Information Technology (AIT) Pub Date : 2019-11-01 DOI: 10.1109/AIT49014.2019.9144842

Ignatius Kenny Buntoro, R. Kosala

引用次数: 1

Social Media Based Policy Implementation Monitoring System: A Design Exploration of YouTube Posting Utilization 基于社交媒体的政策执行监控系统:YouTube帖子利用的设计探索

2019 International Congress on Applied Information Technology (AIT) Pub Date : 2019-11-01 DOI: 10.1109/AIT49014.2019.9144777

Kodrat Mahatma, M. Ridwan

{"title":"Social Media Based Policy Implementation Monitoring System: A Design Exploration of YouTube Posting Utilization","authors":"Kodrat Mahatma, M. Ridwan","doi":"10.1109/AIT49014.2019.9144777","DOIUrl":"https://doi.org/10.1109/AIT49014.2019.9144777","url":null,"abstract":"The monitoring of public policy implementation can be very challenging. The number of the institution involved can be huge, while the organization structure and their interaction may various and complex. Consequently, the development of a software system to support monitoring requires a long time, complex development, and costly process. Nowadays, social media are used not only by the individual but also by institutions to release information on their activity, including in implementing a policy. The popularity, availability, and accessibility of social media platform is an open opportunity for the government to leverage its powerful features in building the monitoring system based on social media information sharing. This paper describing ASPIRE, the design of a monitoring system that utilizes social media as the platform to monitor public policy implementation. We start with research on information extraction on health policy in Indonesia on YouTube. Using Theory of Change, we map the input, activities, and output indicators into social media posting format. Our design shows that the mapping of monitoring indicators into social media posting is straightforward and the scraping process also supported by tools and technology available, and data collected can be processed and visualized effectively in a monitoring dashboard.","PeriodicalId":359410,"journal":{"name":"2019 International Congress on Applied Information Technology (AIT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131056069","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

Logo detection and brand recognition with one-stage logo detection framework and simplified resnet50 backbone 采用单阶段标识检测框架和简化的resnet50主干进行标识检测和品牌识别

2019 International Congress on Applied Information Technology (AIT) Pub Date : 2019-11-01 DOI: 10.1109/AIT49014.2019.9144794

Sarwo, Y. Heryadi, Edy Abdulrachman, W. Budiharto

{"title":"Logo detection and brand recognition with one-stage logo detection framework and simplified resnet50 backbone","authors":"Sarwo, Y. Heryadi, Edy Abdulrachman, W. Budiharto","doi":"10.1109/AIT49014.2019.9144794","DOIUrl":"https://doi.org/10.1109/AIT49014.2019.9144794","url":null,"abstract":"Logo and brand name are two concepts which are typically studied in many course subjects. In education context, automated logo detection and brand name recognition from digital image or video are very crucial as a learning tool to achieve learning outcomes. One technical issue in the logo detection and brand name recognition is its requirement to develop model that achive fast recognition speed and high recognition accuracy. One-stage detector is a breakthrough and innovative object detection framework; however, long duration and computing power required to carry out training and detection processes using the backbone deep architecture are often considered to be the challenge of this framework. The objective of this study is to propose a novel ResNet variant models using ResNet-50 as the basis. The empiric results showed that the model 2 achieved 0.408 mAP, the best average accuracy with training time 1.41 hour. The original Resnet50 model, in contrast, achieved 0.556 mAP average accuracy with 1.91 hour training time. The detection testing of the proposed Model 2 model was 23.47 fps, while the detection testing of Resnet50 model was 29.33 Fps.","PeriodicalId":359410,"journal":{"name":"2019 International Congress on Applied Information Technology (AIT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116050132","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