Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Reynaldi Azhar
Universitas Singaperbangsa Karawang
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
KLASIFIKASI MINAT BELI PELANGGAN TERHADAP UDANG VANAME MENGGUNAKAN ALGORITMA NAÏVE BAYES aqillah Aqillah Fadia Haya; Reynaldi Azhar; Muhamad Khandava Mulyadien; Betha Nurina Sari
JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer Vol 13 No 1 (2022): JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : LPPM Sekolah Tinggi Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/betrik.v13i1.452

Abstract

Vannamei shrimp is a type of shrimp that is immune to disease attacks and has promising profit opportunities so that many shrimp farming entrepreneurs like this type of vaname shrimp. From 2007 to 2009 Indonesia was able to export this type of vaname shrimp with a total amount of 548,250 tons. The large number of exports has resulted in this shrimp entrepreneur being overwhelmed in overcoming the sales strategy. So this study will have the aim of analyzing whether the classification method with the Naive Bayes algorithm is good enough in overcoming problems in the sales process in one of the ponds on the island of Nusakambangan. The results of this study provide an accuracy value of 83% and a precision value of 0.79%.
Co-Authors aqillah Aqillah Fadia Haya Betha Nurina Sari Muhamad Khandava Mulyadien