The bit-Tech journal was developed with the aim of accommodating the scientific work of Lecturers and Students, both the results of scientific papers and research in the form of literature study results.
It is hoped that this journal will increase the knowledge and exchange of scientific information, especially scientific papers and research that will be useful as a reference for the progress of the State together.
The bit-Tech Journal publishes research papers in such informatics:
Web Technology (Mobile),
eBussiness,
Datamining,
Cloud Computing, dan
Decision Support System (Bussiness Intelligent)
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DISCLAIMER
The editors and publishers of the bit-Tech have made every possible information possible in the publication. Any opinions, discussions, views and recommendations are expressed in the article are solely those of the authors and are not of bit-Tech, its editors or its publishers. bit-Tech, its editors and its publisher will not be liable for any direct, indirect, consequential, special, exemplary, or other damages arising therefrom.
Articles
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DOI : https://doi.org/10.32877/bt.v4i2.286
Abstract views: 8, pdf downloads: 10 -
DOI : https://doi.org/10.32877/bt.v4i2.288
Abstract views: 6, pdf downloads: 4 -
Twitter Opinion Mining Analysis of Web-Based Handphone Brand Using Naïve Bayes Classification MethodDOI : https://doi.org/10.32877/bt.v4i2.287
Abstract views: 11, pdf downloads: 6 -
DOI : https://doi.org/10.32877/bt.v4i2.282
Abstract views: 23, pdf downloads: 13
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