Department of Information Technology, Faculty of Computer Science and Information Technology, Universitas Sumatera Utara, Indonesia
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@article{JTSISKOM13310, author = {Indra Aulia and Sarah Purnamawati and Junianto Junianto}, title = {Pembangkitan interpretasi tekstual berbahasa Indonesia berdasarkan data pemeriksaan kimia darah menggunakan pendekatan berbasis r-template}, journal = {Jurnal Teknologi dan Sistem Komputer}, volume = {8}, number = {1}, year = {2020}, keywords = {blood chemistry tests; natural language generation; template based; naturalness; Indonesian language}, abstract = {The result of the blood chemistry tests is usually presented in the form of a table written in abbreviations, numbers, and units. Unfortunately, the young doctors often require the time and experience for interpreting the blood chemistry tests into a textual representation, which is easy to read and understand. Therefore, this research aimed at developing a system (BTISys) that can generate the textual representation in the Indonesian language automatically based on the blood chemistry test. BTISys generates the representation using Natural Language Generation (NLG) approach based on the r-template method. The reliability of BTISys is measured by considering the naturalness of generated textual representation. The naturalness can be observed by three criteria, such as readability, clarity, and general appropriateness. The reliability of BTISys is quite good to generate the textual representation automatically. It can be seen from the readability, clarity, and general appropriateness, which reach 73 %, 70 %, and 60 % respectively, that implies the naturalness of generated textual representation.}, issn = {2338-0403}, pages = {44--53} doi = {10.14710/jtsiskom.8.1.2020.44-53}, url = {https://jtsiskom.undip.ac.id/article/view/13310} }
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