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77 results on '"Rosmansyah, Yusep"'

54. Detection of Interviewer Falsification in Statistics Indonesia's Mobile Survey.

Author

Rosmansyah, Yusep, Santoso, Ibnu, Hardi, Ariq Bani, Putri, Atina, and Sutikno, Sarwono

Subjects
*FALSIFICATION, *DATA mining, *INTERVIEWERS, *STATISTICS, *CLASSIFICATION algorithms, *LOGISTIC regression analysis
Abstract

Interviewer falsification is an important issue faced by institutions conducting censuses and surveys around the world, including Statistics Indonesia. This study discusses several methods to systematically detect interviewer falsification and validation using data mining techniques so that human supervisors can take further actions. After analyzing relevant features and conducting experiments, the results showed that unsupervised classification algorithm using simple 2-means clustering achieved 70.5% accuracy, while the supervised classification using logistic regression improved the accuracy to 88.5%. A greater level of accuracy is still needed to be pursued in further research, but the current results are certainly better than the traditional method which has almost no falsification detection method at all. [ABSTRACT FROM AUTHOR]

Published
2019
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71. A Survey on Adaptive Engine Technology for Serious Games.

Author

Rasim, Langi, Armein Z. R., Munir, and Rosmansyah, Yusep

Subjects
GAME theory, ORGANIZATIONAL research, ALGORITHMS, SIMULATION methods & models, COGNITIVE ability
Abstract

Serious games has become a priceless tool in learning because it can simulate abstract concept to appear more realistic. The problem faced is that the players have different abilities in playing games. This causes the players to become frustration if the game is too difficult or to get bored if it is too easy. Serious games have non-player character (NPC) in it. The NPC should be able to adapt to the players in such a way so that the players can feel comfortable in playing the games. Because of that, serious games development must involve an adaptive engine, which is by applying a learning machine that can adapt to different players. The development of adaptive engine can be viewed in terms of the frameworks and the algorithms. Frameworks include rules based, plan based, organization description based, proficiency of player based, and learning style and cognitive state based. Algorithms include agents based and non-agent based. [ABSTRACT FROM AUTHOR]

Published
2016

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