Penerapan Data Mining Klasifikasi Lahan Tanam Buah Alpukat dengan Algoritma Naïve Bayes

The avocado plant is a plant that came into Indonesia in the 18th century. It originated in Central America under the Latin name Persea Americana Mill. Avocado plants have many different varieties and the majority grow fertile in the tropics. Nevertheless, there are differences in growing needs between different types of avocado crops when planted on different crops. As in this study where in the observation of the research on the growth differences between avocado plants of type miki and shepard on the grown land of KTH Pedunung Lestari Welfare Village Purworejo Prefecture Pungging district of Mojokerto. In this case, it is necessary to determine exactly what type of avocado plants are suitable to be planted on the land of KTH Pedunung Lestari Sejahtera. The research was conducted using the Naïve Bayes algorithm method. Based on observations, interviews with sources and library studies, the most influential variables are ground height (Mdpl), Temperature (°C), Rainfall (mm/day) and Soil type. In this study, the results were obtained on the land of KTH Pedunung Lestari Sejahtera with a land height of 250 Mdpl, temperature 18°C, rainfall 25 mm/day and humus soil type, more suitable for planting avocado type miki than shepard type. Based on the calculations on miki avocado, the value of "Yes" is 0.75 and "No" is 0,25, while shepard type has a value of “Yes” of 0 and “No” of 1. The value of accuracy is 50%, Precision is 43% and Recall is 100%.

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Journal
BIOS Jurnal Teknologi Informasi dan Rekayasa Komputer
Published
2024-08-19
DOI
https://doi.org/10.37148/bios.v5i2.125
Primary Topic
Data Mining and Machine Learning Applications
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article
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article

Penerapan Data Mining Klasifikasi Lahan Tanam Buah Alpukat dengan Algoritma Naïve Bayes

Nur Fidiyanto, Afifah Nurul Izzati
BIOS Jurnal Teknologi Informasi dan Rekayasa Komputer
Data Mining and Machine Learning Applications
article

Penerapan Data Mining Klasifikasi Lahan Tanam Buah Alpukat dengan Algoritma Naïve Bayes

Nur Fidiyanto, Afifah Nurul Izzati
article en

Abstract

The avocado plant is a plant that came into Indonesia in the 18th century. It originated in Central America under the Latin name Persea Americana Mill. Avocado plants have many different varieties and the majority grow fertile in the tropics. Nevertheless, there are differences in growing needs between different types of avocado crops when planted on different crops. As in this study where in the observation of the research on the growth differences between avocado plants of type miki and shepard on the grown land of KTH Pedunung Lestari Welfare Village Purworejo Prefecture Pungging district of Mojokerto. In this case, it is necessary to determine exactly what type of avocado plants are suitable to be planted on the land of KTH Pedunung Lestari Sejahtera. The research was conducted using the Naïve Bayes algorithm method. Based on observations, interviews with sources and library studies, the most influential variables are ground height (Mdpl), Temperature (°C), Rainfall (mm/day) and Soil type. In this study, the results were obtained on the land of KTH Pedunung Lestari Sejahtera with a land height of 250 Mdpl, temperature 18°C, rainfall 25 mm/day and humus soil type, more suitable for planting avocado type miki than shepard type. Based on the calculations on miki avocado, the value of "Yes" is 0.75 and "No" is 0,25, while shepard type has a value of “Yes” of 0 and “No” of 1. The value of accuracy is 50%, Precision is 43% and Recall is 100%.

BIOS Jurnal Teknologi Informasi dan Rekayasa KomputerVol. 5(2)
Universitas Kadiri (ID)
Openalex Percentile: Top 55%
Data Mining and Machine Learning Applications
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Penerapan Data Mining Klasifikasi Lahan Tanam Buah Alpukat dengan Algoritma Naïve Bayes — Nur Fidiyanto, Afifah Nurul Izzati · BIOS Jurnal Teknologi Informasi dan Rekayasa Komputer (2024) | TGRS Research Map | TGRS