METODE NAÏVE BAYES UNTUK MEMPREDIKSI PENGGUNAAN LISTRIK RUMAH TANGGA
DOI:
https://doi.org/10.37792/jukanti.v1i2.11Keywords:
Listrik, Naïve Bayes, PHP, MY SQL DatabaseAbstract
Penelitian ini menggunakan metode Naïve Bayes untuk memprediksi penggunaan listrik setiap rumah tangga di Kota Kupang. Metode ini menggunakan bahasa pemrograman PHP dan MySql database. Hasil penelitian menunjukkan bahwa pengujian terhadap 50 data di Wilayah Kota Kupang. Penggunaan listrik dengan jumlah daya 1300 VA dan 900 VA sebagai berikut : pada keluarga yang berpenghasilan kisaran 2 juta sampai 3 juta serta memiliki tanggungan keluarga 4-7 orang, dengan jumlah peralatan listrik cukup dan jumlah pemakaian bola lampu tinggi, maka keluarga-keluarga tersebut tidak perlu melakukan penambahan daya (cukup). Sedangkan, jumlah daya 450 VA pada kepala keluarga dengan penghasilan lebih dari 3 juta, serta memiliki tanggungan keluarga 4-7 orang, dengan jumlah peralatan listrik banyak (tinggi), dan jumlah pemakaian bola lampu tinggi maka keluarga-keluarga tersebut perlu melakukan penambahan daya (tambah daya). Hasil pengujian menemukan bahwa sebanyak 22 rumah tangga perlu melakukan penambahan daya (tambah daya). Sedangkan, 28 rumah tangga tidak perlu melakukan penambahan daya (cukup).
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