IMPLEMENTASI MACHINE LEARNING DENGAN ALGORITMA DECISION TREE C4.5 UNTUK KLASIFIKASI REKOMENDASI INFLUENCER (STUDI KASUS: MAPLE MANAGAMENT)

Nurhikmah Mawaddah Solin, . (2024) IMPLEMENTASI MACHINE LEARNING DENGAN ALGORITMA DECISION TREE C4.5 UNTUK KLASIFIKASI REKOMENDASI INFLUENCER (STUDI KASUS: MAPLE MANAGAMENT). Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

Influencer marketing has become a key strategy in today's digital business world. Maple Management, an influencer management company, faces challenges in selecting the right influencers. This research aims to improve the accuracy of influencer recommendations based on user characteristics and their preferences. The research method includes data collection from interviews with Maple Management team, and the application of Decision Tree C4.5 algorithm. The result obtained is an influencer recommendation classification model that can help Maple Management in optimizing their influencer marketing campaigns. Based on testing using the confusion matrix method, 80% accuracy, 89% precision, and 100% recall were obtained. This shows that the classification process is likely to be applicable for influencer recommendations.

Item Type: Thesis (Skripsi)
Additional Information: [No.Panggil: 2010511026] [Pembimbing 1: Didit Widiyanto] [Pembimbing 2: Nur Hafifah Matondang] [Penguji 1: Widya Cholil] [Penguji 2: Nindy Irzavika]
Uncontrolled Keywords: Influencer, Maple Management, Decision Tree C4.5
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Fakultas Ilmu Komputer > Program Studi Informatika (S1)
Depositing User: NURHIKMAH MAWADDAH SOLIN
Date Deposited: 02 Sep 2024 01:45
Last Modified: 02 Sep 2024 01:45
URI: http://repository.upnvj.ac.id/id/eprint/33392

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