Skripsi

PERBANDINGAN METODE NAIVE BAYES CLASSIFIER DAN RANDOM FOREST UNTUK KLASIFIKASI FILM BERDASARKAN USIA PENONTON

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Penilaian

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The rapid growth of the film industry in recent years has created a need for an accurate age classification system to ensure that content is appropriate to its target audience. One approach that can be used to identify the age classification of a film is through analysis of the subtitle text, without relying on visual or audio elements. This study aims to compare the performance of two classification algorithms, namely Naïve Bayes Classifier and Random Forest, in categorizing films based on audience age groups. The classification process involves a series of text preprocessing steps and feature extraction using TF-IDF method. The evaluation results show that Random Forest achieved an average accuracy of 70,83% while Naïve Bayes obtained an average accuracy of 68,75%. Although the difference in accuracy is not substantial, it can be concluded that Random Forest perfoms better and is more suitable for film classification based on age categories.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507003803	T176764	T1767642025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1767642025

Publisher

Indralaya : Prodi Manajemen Informatika, Fakultas Ilmu komputer Universitas Sriwijaya., 2025

Collation

xvi, 115 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

004.07

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Manajemen Informatika

Specific Detail Info

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Statement of Responsibility

MI

Other version/related

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