Perpustakaan Fakultas Teknik

Universitas Mataram

  • Beranda
  • Informasi
  • Berita
  • Bantuan
  • Pustakawan
  • Area Anggota
  • Pilih Bahasa :
    Bahasa Arab Bahasa Bengal Bahasa Brazil Portugis Bahasa Inggris Bahasa Spanyol Bahasa Jerman Bahasa Indonesia Bahasa Jepang Bahasa Melayu Bahasa Persia Bahasa Rusia Bahasa Thailand Bahasa Turki Bahasa Urdu

Pencarian berdasarkan :

SEMUA Pengarang Subjek ISBN/ISSN Pencarian Spesifik

Pencarian terakhir:

{{tmpObj[k].text}}
No image available for this title

Tugas Akhir Elektro

Analisis Suara Pernapasan Paru-paru Asma Dengan Tidak Asma Menggunakan Metode k Nearest Neighbors

Ari Satriadi - Nama Orang;

Asthma is a disease of the airways that causes an increase in airway hyperesponsiveness and causes
wheeze symptoms. The sound of wheeze breath is one of the characteristics that indicates a person has
asthma. This research was conducted to create and test a system that can identify differences in wheeze
respiratory voice traits in asthma and other respiratory patients with the k-Nearest Neighbors (k-NN) method.
The sound features used are the average signal and the standard deviation in the time domain, the average
spectrum, the standard deviation of spectrum, the highest magnitude at 0Hz frequency, the frequency with
the highest magnitude first, second, and third. k-NN is a method of classifying objects based on learning data
closest to them. Obtained wheeze and non wheeze respiratory voice data through live recording to subjects
with asthma and not asthma. From all the sound data obtained then segmentation of the data to take the
respiratory event needed then carried out the extraction of features to get the mathematical characteristics of
the sound. 80% of the total data was conducted using the 10 fold cross validation method and was reviewed
with maximum classification capabilities at k=3 and k=5 with the same validity of 97.2%. For k-NN
performance testing at the final stage obtained the maximum classification capability for k=3 is 86.6% and
k=5 is 86.6%.


Ketersediaan

Tidak ada salinan data

Informasi Detail
Judul Seri
-
No. Panggil
823.087 38 .Ari.a
Penerbit
Universitas Mataram : Fakultas Teknik Unram., 2020
Deskripsi Fisik
-
Bahasa
Indonesia
ISBN/ISSN
-
Klasifikasi
823.087 38
Tipe Isi
other
Tipe Media
computer
Tipe Pembawa
audio disc
Edisi
Edisi 1 Jilid 1
Subjek
Suara Pernapasan Paru-paru Asma Dengan Tidak Asma
Asthma, fold cross validation, wheeze
Info Detail Spesifik
Suara Pernapasan Paru-paru Asma Dengan Tidak Asma Menggunakan Metode k Nearest Neighbors
Pernyataan Tanggungjawab
Ari Satriadi
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • Analisis Suara Pernapasan Paru-paru Asma Dengan Tidak Asma Menggunakan Metode k Nearest Neighbors
Komentar

Anda harus login sebelum memberikan komentar

Perpustakaan Fakultas Teknik
  • Informasi
  • Layanan
  • Pustakawan
  • Area Anggota

Tentang Kami

Ruang Baca Fakultas Teknik

Kami menyedian Buku ajar ilmu teknik dan Tugas Akhir mahaiswa Fakultas Teknik Universitas Mataram

Cari

masukkan satu atau lebih kata kunci dari judul, pengarang, atau subjek

Donasi untuk SLiMS Kontribusi untuk SLiMS?

© 2025 — Senayan Developer Community

Ditenagai oleh SLiMS
Pilih subjek yang menarik bagi Anda
  • Karya Umum
  • Filsafat
  • Agama
  • Ilmu-ilmu Sosial
  • Bahasa
  • Ilmu-ilmu Murni
  • Ilmu-ilmu Terapan
  • Kesenian, Hiburan, dan Olahraga
  • Kesusastraan
  • Geografi dan Sejarah
Icons made by Freepik from www.flaticon.com
Pencarian Spesifik