PENGENALAN NADA MAYOR DAN MINOR PADA INSTRUMEN BIOLA DI NADA DASAR C MENGGUNAKAN LEARNING VECTOR QUANTIZATION (LVQ)

ANDIKA PUJA KUSUMA, . (2020) PENGENALAN NADA MAYOR DAN MINOR PADA INSTRUMEN BIOLA DI NADA DASAR C MENGGUNAKAN LEARNING VECTOR QUANTIZATION (LVQ). Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

[img] Text
ABSTRAK.pdf
Download (106kB)
[img] Text
AWAL.pdf
Download (488kB)
[img] Text
BAB 1.pdf
Download (123kB)
[img] Text
BAB 2.pdf
Restricted to Repository UPNVJ Only
Download (548kB)
[img] Text
BAB 3.pdf
Restricted to Repository UPNVJ Only
Download (194kB)
[img] Text
BAB 4.pdf
Restricted to Repository UPNVJ Only
Download (605kB)
[img] Text
BAB 5.pdf
Download (107kB)
[img] Text
DAFTAR PUSTAKA.pdf
Download (120kB)
[img] Text
RIWAYAT HIDUP.pdf
Restricted to Repository UPNVJ Only
Download (125kB)
[img] Text
LAMPIRAN.pdf
Restricted to Repository UPNVJ Only
Download (806kB)
[img] Text
ARTIKEL KI.pdf
Restricted to Repository UPNVJ Only
Download (649kB)

Abstract

This research was conducted to determine the level of accuracy in recognizing major and minor tones using the learning vector quantization method which can later help making applications for the public (users) in recognizing the major and minor tones of violin instruments. The violin is a musical instrument that is swiped and has four strings that are stringed where the lowest note is on the G note. This research was made using the Learning Vector Quantization method. This study is intended to determine the level of accuracy in the introduction of major and minor tones using the Learning Vector Quantization method in C basic notes. In the application that has been done by the writer that is the method testing phase with 75% accuracy presentation value.

Item Type: Thesis (Skripsi)
Additional Information: [No.Panggil: 1410511052] [Pembimbing: Jayanta] [Penguji 1 : Henki Bayu Seta] [Penguji 2 : Yuni Widiastiwi]
Uncontrolled Keywords: Biola, Learning Vector Quantization, Suara, mayor, minor.
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Ilmu Komputer > Program Studi Informatika (S1)
Depositing User: Andika Puja Kusuma
Date Deposited: 12 Jan 2022 04:55
Last Modified: 12 Jan 2022 04:55
URI: http://repository.upnvj.ac.id/id/eprint/8719

Actions (login required)

View Item View Item