Artama, Made (2019) Klasifikasi Surat Dinas Menggunakan Metode TF-IDF. Masters thesis, Universitas Pendidikan Ganesha.
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Abstract
In this study, were developed application of official letter management in Sukasada 1 Public High School. Application development aims to contribute to government programs in improving public services, especially in correspondence. In the letter classification process, the researcher implemented the TF-IDF method whose working procedures included conversion, Optical Character Recognition (OCR), filtering, tokenizing and classification. Conversion is to convert official mail to digital form (jpg). OCR to get the text of the letter then carries out the official letter in the form of an image and then filtering and tokenizing are carried out. Classification is the process of grouping a letter into its category by calculating the cosine similarity value between the letter being tested and the letter in the system. To test the accuracy of the classification results, a confusion matrix is used. The results of the study are in the form of web-based and mobile-based applications. Operators and admins use the web application to manage official letters at SMAN 1 Sukasada. The mobile application serves to facilitate the principal in accessing mail data from a smartphone. The system is able to group letters with 78% accuracy (good), precision 77% and recall 77%.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | klasifikasi surat dinas, metode tf-idf, aplikasi surat dinas |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Pascasarjana > Program Studi Ilmu Komputer (S2) |
| Depositing User: | MADE ARTAMA |
| Date Deposited: | 24 Oct 2019 03:31 |
| Last Modified: | 24 Oct 2019 03:31 |
| URI: | http://repo.undiksha.ac.id/id/eprint/537 |
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