PENENTUAN KONDISI KEPADATAN LALU LINTAS BERDASARKAN DATA MEDIA SOSIAL MENGGUNAKAN ALGORITMA NAÏVE BAYES DIBANDINGKAN DENGAN DATA HASIL REKAMAN CCTV DI JALAN PROTOKOL DI KOTA PALEMBANG

ADINATA, MUHAMMAD SHAFA ZAUHAIR and Oklilas, Ahmad Fali (2024) PENENTUAN KONDISI KEPADATAN LALU LINTAS BERDASARKAN DATA MEDIA SOSIAL MENGGUNAKAN ALGORITMA NAÏVE BAYES DIBANDINGKAN DENGAN DATA HASIL REKAMAN CCTV DI JALAN PROTOKOL DI KOTA PALEMBANG. Undergraduate thesis, Sriwijaya University.

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Abstract

Perbandingan dilakukan antara data media sosial terhadap data angka kendaraan dari kamera CCTV Dirlantas Polda Sumsel menggunakan algoritma Naïve Bayes. Data media sosial dikumpulkan dengan teknik scrapping menggunakan Tweet Harvest, kemudian melalui proses preprocessing dan metode TF-IDF lalu diklasifikasikan menggunakan Naïve Bayes. Sedangkan data angka kendaraan, dilatih menggunakan model Naïve Bayes pada data tabel referensi kepadatan jalan dan diuji dengan data dari Dirlantas Polda Sumsel. Hasil perbandingan menunjukkan kemiripan sebanyak 22 data dengan akurasi 66%, mengindikasikan bahwa Naïve Bayes dapat mengklasifikasi data teks dan data angka kendaraan cukup efektif.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Sistem Komputer, Ilmu Komputer
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Muhammad Shafa Zauhair Adinata
Date Deposited:	12 Aug 2024 07:02
Last Modified:	12 Aug 2024 07:02
URI:	http://repository.unsri.ac.id/id/eprint/155089

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