KLASIFIKASI TINGKAT KEBERHASILAN SURVIVAL RATE (SR) PADA PRODUKSI UDANG VANAME MENGGUNAKAN ALGORITMA NAÏVE BAYES
Data mining is the process of collecting and processing data with the aim of extracting important information from the data. This process can be done using software that uses mathematical calculations, statistics, or AI. Naive Bayes is the most common classification technique and has a high level o...
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Universitas Ekasakti LPPM
2024-06-01
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| Series: | Ekasakti Jurnal Penelitian dan Pengabdian |
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| Online Access: | https://ejurnal-unespadang.ac.id/index.php/EJPP/article/view/1080 |
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| author | Ar Razi Desvina Yulisda |
| author_facet | Ar Razi Desvina Yulisda |
| author_sort | Ar Razi |
| collection | DOAJ |
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Data mining is the process of collecting and processing data with the aim of extracting important information from the data. This process can be done using software that uses mathematical calculations, statistics, or AI. Naive Bayes is the most common classification technique and has a high level of accuracy. Many studies on classification have used the Naive Bayes algorithm. Naive Bayes is a simple probability classification technique used to assume that the explanatory variables are independent. The focus of learning this algorithm is probability estimation. One of the advantages of the naive Bayes algorithm is that the resulting error rate is lower. In addition, this algorithm has a higher level of accuracy and speed when used on larger datasets. This research uses the Naïve Bayes algorithm to classify the Survival Rate (SR) of Vaname shrimp into three classes, namely high, medium and low. The number of sample data used was 200 data which was divided into 2 categories, namely 170 training data and 30 testing data. The variables used in this research are temperature, PH, DO (dissolved oxygen) and salinity. The classification was validated using a confusion matrix and produced an accuracy of 70.4%, precision of 98%, and recall of 79.7%.
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| format | Article |
| id | doaj-art-9b7d0000abd749c3824417bfaff4d424 |
| institution | OA Journals |
| issn | 2746-7538 2747-0369 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Universitas Ekasakti LPPM |
| record_format | Article |
| series | Ekasakti Jurnal Penelitian dan Pengabdian |
| spelling | doaj-art-9b7d0000abd749c3824417bfaff4d4242025-08-20T01:56:24ZengUniversitas Ekasakti LPPMEkasakti Jurnal Penelitian dan Pengabdian2746-75382747-03692024-06-0142KLASIFIKASI TINGKAT KEBERHASILAN SURVIVAL RATE (SR) PADA PRODUKSI UDANG VANAME MENGGUNAKAN ALGORITMA NAÏVE BAYESAr Razi0Desvina Yulisda1Prodi Teknik Informatika, Fakultas Teknik, Universitas MalikussalehProdi Teknik Informatika, Fakultas Teknik, Universitas Malikussaleh Data mining is the process of collecting and processing data with the aim of extracting important information from the data. This process can be done using software that uses mathematical calculations, statistics, or AI. Naive Bayes is the most common classification technique and has a high level of accuracy. Many studies on classification have used the Naive Bayes algorithm. Naive Bayes is a simple probability classification technique used to assume that the explanatory variables are independent. The focus of learning this algorithm is probability estimation. One of the advantages of the naive Bayes algorithm is that the resulting error rate is lower. In addition, this algorithm has a higher level of accuracy and speed when used on larger datasets. This research uses the Naïve Bayes algorithm to classify the Survival Rate (SR) of Vaname shrimp into three classes, namely high, medium and low. The number of sample data used was 200 data which was divided into 2 categories, namely 170 training data and 30 testing data. The variables used in this research are temperature, PH, DO (dissolved oxygen) and salinity. The classification was validated using a confusion matrix and produced an accuracy of 70.4%, precision of 98%, and recall of 79.7%. https://ejurnal-unespadang.ac.id/index.php/EJPP/article/view/1080Algoritma Naïve Bayes, Data Mining, AI |
| spellingShingle | Ar Razi Desvina Yulisda KLASIFIKASI TINGKAT KEBERHASILAN SURVIVAL RATE (SR) PADA PRODUKSI UDANG VANAME MENGGUNAKAN ALGORITMA NAÏVE BAYES Ekasakti Jurnal Penelitian dan Pengabdian Algoritma Naïve Bayes, Data Mining, AI |
| title | KLASIFIKASI TINGKAT KEBERHASILAN SURVIVAL RATE (SR) PADA PRODUKSI UDANG VANAME MENGGUNAKAN ALGORITMA NAÏVE BAYES |
| title_full | KLASIFIKASI TINGKAT KEBERHASILAN SURVIVAL RATE (SR) PADA PRODUKSI UDANG VANAME MENGGUNAKAN ALGORITMA NAÏVE BAYES |
| title_fullStr | KLASIFIKASI TINGKAT KEBERHASILAN SURVIVAL RATE (SR) PADA PRODUKSI UDANG VANAME MENGGUNAKAN ALGORITMA NAÏVE BAYES |
| title_full_unstemmed | KLASIFIKASI TINGKAT KEBERHASILAN SURVIVAL RATE (SR) PADA PRODUKSI UDANG VANAME MENGGUNAKAN ALGORITMA NAÏVE BAYES |
| title_short | KLASIFIKASI TINGKAT KEBERHASILAN SURVIVAL RATE (SR) PADA PRODUKSI UDANG VANAME MENGGUNAKAN ALGORITMA NAÏVE BAYES |
| title_sort | klasifikasi tingkat keberhasilan survival rate sr pada produksi udang vaname menggunakan algoritma naive bayes |
| topic | Algoritma Naïve Bayes, Data Mining, AI |
| url | https://ejurnal-unespadang.ac.id/index.php/EJPP/article/view/1080 |
| work_keys_str_mv | AT arrazi klasifikasitingkatkeberhasilansurvivalratesrpadaproduksiudangvanamemenggunakanalgoritmanaivebayes AT desvinayulisda klasifikasitingkatkeberhasilansurvivalratesrpadaproduksiudangvanamemenggunakanalgoritmanaivebayes |