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All Journal IJIES (International Journal of Innovation in Enterprise System)
Kaewyong, Phuripoj
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Computer Science & IT Control & Systems Engineering

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Combined Approach for Teachers’ Evaluation Aspects Identification Using Dictionary and Patterns Based Rengiah, Parimala; Kaewyong, Phuripoj; Salim, Naomie; Phang, Fatin Aliah
International Journal of Innovation in Enterprise System Vol. 3 No. 2 (2019): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

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Abstract

Teacher performance evaluation is a common method and often used for evaluates teaching quality in higher education. With the rapid growth of opinion mining technique. Aspect-based opinion mining application has been possibly employed to extraction and summarization of students' comments for teacher evaluation. However, to automated teacher evaluation features identification from a large number of students' comments collection is very hard work. This study has the goal to address this problem. The main objectives of the proposed method are: (1) to identify teacher evaluation aspects, (2) to compare the efficiency of dictionary based, patterns based and the combination of them, and (3) to enhance the accuracy result in the teachers’ evaluation aspects identification from the unstructured text of students' feedbacks. The students' feedbacks were collected by questionnaires and the dataset was constructed manually with a total of 4,496 sentences from 300 undergraduate student responses in 10 subjects by purposive sampling and the collection of positive and negative sentences from 30 participants group interviewed in the workshop. Both approaches were applied to identify the frequency teachers' evaluation aspects. The experimental results found that our proposed approach provided reasonably more accurate results, the combination approach enhanced a significantly average of precision and recall. For future work, we focus on the application of new linguistic patterns and non-frequency aspects in order to increase the accuracy result. Keywords—aspects identification, lexicon relation, linguistic pattern, opinion mining, teacher evaluation.
Augmented Reality-Based Mobile Application for Knowledge Transferring in The System of Rice Intensification Latif, Ummi Khaira; Kusumasari, Tien Fabrianti; Kaewyong, Phuripoj; Duangchant, Shatchaya
International Journal of Innovation in Enterprise System Vol. 3 No. 2 (2019): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

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Abstract

Currently, the System of Rice Intensification (SRI) is one method that can be applied and used to produce seeds of local rice species in highland areas. However, it can currently be seen that the traditional methods to transfer knowledge about SRI from the experts still have limitations in many aspects due to the number of farmers that have experienced success still being low. Some farmers do not have their own fields and it takes a period for farmers to test the rice growing. Currently, mobile devices are widely used in peoples’ lives. Many scholars focus on the application of mobile devices and the augmented reality (AR) technology for the simulation games in many issues while the use of AR-based mobile applications as the learning tools is not widespread. There-fore, in this study, we propose the development of an application on mobile devices with augmented reality technology in order to use it as media in sharing knowledge related to the methods of the System of Rice Intensification by virtual farms simulation. To examine the efficiency of this developed application. A total amount of participants were 512 farmers from 5 regions of Thailand. The experimental results demonstrated that the newly developed AR-based mobile application is effective for improved knowledge on the participants who used the developed application and it can help them to practice their SRI farming skill in the virtual farm simulation. This indicates that the developed AR-based mobile application is the benefits tool for the new knowledge transferring meth-od in the system of rice intensification. For future work, it is necessary to evaluate the farmer success after learning from this AR-based mobile application in order to study the impact of the new method of SRI knowledge transferring. Keywords—augmented reality, knowledge transferring, system of rice intensification.
Co-Authors Duangchant, Shatchaya Fatin Aliah Phang Latif, Ummi Khaira Naomie Salim Rengiah, Parimala Tien Fabrianti Kusumasari