Setiawan, Alexander and Rostianingsih, Silvia and , Christopher Halim (2020) Development of Machine Learning Applications for Chemical Objects. [UNSPECIFIED]
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Abstract
Machine learning is a method used to create programs that can learn from data or applications. In contrast to ordinary static computer programs, machine learning programs are programs designed to be able to learn on their own. Machine learning technology has been widely applied in various fields, including in chemistry. Currently the introduction of basic chemical objects is a study that has many concepts that are easy for beginners to understand and imagine, such as atomic structure and molecular shape in chemical bonds. So that an alternative learning media is needed in order to improve understanding of the concept of chemical objects interactively. Machine learning technology is expected to provide a more realistic interaction and is an advancement of a promising technological method that can motivate users to engage in a more active learning system.
| Item Type: | UNSPECIFIED |
|---|---|
| Subjects: | T Technology |
| Divisions: | Faculty of Industrial Technology > Informatics Engineering Department |
| Depositing User: | Admin |
| Date Deposited: | 11 Jan 2021 18:04 |
| Last Modified: | 01 Feb 2024 15:50 |
| URI: | https://repository.petra.ac.id/id/eprint/19014 |
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