ANALISIS SENTIMEN PEMBELIAN BAHAN BAKAR MINYAK PADA APLIKASI MYPERTAMINA DENGAN METODE NAIVE BAYES CLASSIFIER DAN SYNTHETIC MINORITY OVERSAMPLING TECHNIQUE | Perpustakaan STMIK Pradnya Paramita Malang

Pencarian berdasarkan :

SEMUA Pengarang Subjek ISBN/ISSN Pencarian Spesifik

Pencarian terakhir:

SKRIPSI Sistem Informasi

ANALISIS SENTIMEN PEMBELIAN BAHAN BAKAR MINYAK PADA APLIKASI MYPERTAMINA DENGAN METODE NAIVE BAYES CLASSIFIER DAN SYNTHETIC MINORITY OVERSAMPLING TECHNIQUE

Armawan Damai Komang I - Nama Orang;

ANALISIS SENTIMEN PEMBELIAN BAHAN BAKAR MINYAK PADA
APLIKASI MyPertamina DENGAN METODE NAIVE BAYES CLASSIFIER DAN
SYNTHETIC MINORITY OVERSAMPLING TECHNIQUE
I Komang Damai Armawan1)
, Mochamad Husni2)
, Tubagus M. Akhriza3)
STMIK PPKIA Pradnya Paramita Malang
komang.armawan.27@gmail.com1)
, husni@stimata.ac.id2)
, akhriza@stimata.ac.id3)
Abstract
The implementation of the MyPertamina application policy for subsidized fuel purchases has
received various responses from the public, expressed through social media. These responses can
be classified into neutral, positive, and negative feedback. Manual analysis can be time-consuming,
so the Naive Bayes Classifier (NBC) method can be used for quick and accurate sentiment analysis
of public responses to the implementation of the MyPertamina application for subsidized fuel
purchases. The research aims to analyze sentiment using the NBC method and implement the
Synthetic Minority Oversampling Technique (SMOTE) on the application of MyPertamina for
subsidized fuel purchases in the community. The dataset in this study is divided into three ratios:
30% for testing set, 40%, and 50%. The sentiment analysis results using the NBC and SMOTE
classification methods with a 30% training set ratio show the best outcome. Initially, there were
972 data points, which were preprocessed to 712, and then the SMOTE algorithm was implemented
to balance the training set. The results showed that 38% were neutral responses, 35% were
positive, and 27% were negative, with an accuracy of 84%.

Ketersediaan

19510026 001.41 A Iko Skr SistemInformasi Perpus STMIK Tersedia

Informasi Detail

Judul Seri: -
No. Panggil: 001.41 A Iko Skr SistemInformasi
Penerbit: : .,
Deskripsi Fisik: -
Bahasa: Indonesia
ISBN/ISSN: -
Klasifikasi: NONE
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: -
Edisi: -
Subjek: -
Info Detail Spesifik: -
Pernyataan Tanggungjawab: I Komang Damai Armawan

Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas

ANALISIS SENTIMEN PEMBELIAN BAHAN BAKAR MINYAK PADA APLIKASI MYPERTAMINA DENGAN METODE NAIVE BAYES CLASSIFIER DAN SYNTHETIC MINORITY OVERSAMPLING TECHNIQUE

Komentar

Anda harus login sebelum memberikan komentar