K-NN Method for Review Analys Product Accounting Software
Many companies have not implemented accounting software in financial management. Even though the current era of technology is increasingly updated and developing, more and more superior products are being issued by software development companies, especially in accounting software. There are not a fe...
| Main Authors: | , |
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| Format: | Article |
| Language: | Indonesian |
| Published: |
Fakultas Sains dan Teknologi, Universitas Ibrahimy
2020-12-01
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| Series: | Jurnal Ilmiah Informatika |
| Subjects: | |
| Online Access: | https://journal.ibrahimy.ac.id/index.php/JIMI/article/view/948/842 |
| _version_ | 1811230965491564544 |
|---|---|
| author | Sucitra Sahara Rizqi Agung Permana |
| author_facet | Sucitra Sahara Rizqi Agung Permana |
| author_sort | Sucitra Sahara |
| collection | DOAJ |
| description | Many companies have not implemented accounting software in financial management. Even though the current era of technology is increasingly updated and developing, more and more superior products are being issued by software development companies, especially in accounting software. There are not a few software products whose quality is still below standard or incomplete with features and facilities. So that researchers concentrate on companies or individual businesses that still use manual methods in processing their finances by helping and making it easier to choose the software product they will choose. Researchers first carry out the accounting software product selection stage based on an opinion or opinion of the public who have bought and used the software they choose and they pour this opinion into online media such as comments on a product selling site. Thousands of comments will be processed and grouped into data sets and this time the researcher processes the data classification using the k-Nearest Neighbor (K-NN) algorithm. By using the K-NN method, it is expected to be able to produce the expected accuracy value so that the data set processing is stronger and more valid. It turns out that after applying the data accuracy value obtained by 80.50%, it can be concluded that the K-NN method is very suitable for the concept of text mining this time and for selecting the data set in the form of text. |
| first_indexed | 2024-04-12T10:38:13Z |
| format | Article |
| id | doaj.art-854c5dfe3d7b4b6cbe26f2ee7a400497 |
| institution | Directory Open Access Journal |
| issn | 2549-7480 2549-6301 |
| language | Indonesian |
| last_indexed | 2024-04-12T10:38:13Z |
| publishDate | 2020-12-01 |
| publisher | Fakultas Sains dan Teknologi, Universitas Ibrahimy |
| record_format | Article |
| series | Jurnal Ilmiah Informatika |
| spelling | doaj.art-854c5dfe3d7b4b6cbe26f2ee7a4004972022-12-22T03:36:40ZindFakultas Sains dan Teknologi, Universitas IbrahimyJurnal Ilmiah Informatika2549-74802549-63012020-12-0152859210.35316/jimi.v5i2.948K-NN Method for Review Analys Product Accounting SoftwareSucitra Sahara0Rizqi Agung Permana1Universitas Bina Sarana InformatikaSTMIK Antar BangsaMany companies have not implemented accounting software in financial management. Even though the current era of technology is increasingly updated and developing, more and more superior products are being issued by software development companies, especially in accounting software. There are not a few software products whose quality is still below standard or incomplete with features and facilities. So that researchers concentrate on companies or individual businesses that still use manual methods in processing their finances by helping and making it easier to choose the software product they will choose. Researchers first carry out the accounting software product selection stage based on an opinion or opinion of the public who have bought and used the software they choose and they pour this opinion into online media such as comments on a product selling site. Thousands of comments will be processed and grouped into data sets and this time the researcher processes the data classification using the k-Nearest Neighbor (K-NN) algorithm. By using the K-NN method, it is expected to be able to produce the expected accuracy value so that the data set processing is stronger and more valid. It turns out that after applying the data accuracy value obtained by 80.50%, it can be concluded that the K-NN method is very suitable for the concept of text mining this time and for selecting the data set in the form of text.https://journal.ibrahimy.ac.id/index.php/JIMI/article/view/948/842k - nearest neighborreview analysissoftware product |
| spellingShingle | Sucitra Sahara Rizqi Agung Permana K-NN Method for Review Analys Product Accounting Software Jurnal Ilmiah Informatika k - nearest neighbor review analysis software product |
| title | K-NN Method for Review Analys Product Accounting Software |
| title_full | K-NN Method for Review Analys Product Accounting Software |
| title_fullStr | K-NN Method for Review Analys Product Accounting Software |
| title_full_unstemmed | K-NN Method for Review Analys Product Accounting Software |
| title_short | K-NN Method for Review Analys Product Accounting Software |
| title_sort | k nn method for review analys product accounting software |
| topic | k - nearest neighbor review analysis software product |
| url | https://journal.ibrahimy.ac.id/index.php/JIMI/article/view/948/842 |
| work_keys_str_mv | AT sucitrasahara knnmethodforreviewanalysproductaccountingsoftware AT rizqiagungpermana knnmethodforreviewanalysproductaccountingsoftware |