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All Journal Informasi Interaktif Journal of Information Technology (JIfoTech)
Yulianto Mustaqim
Universitas AMIKOM Yogyakarta
Computer Science & IT

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Implementasi dan Analisis Metode Hierarchical Token Bucket pada Manajemen Bandwidth Jaringan (Studi Kasus : Jaringan Rektorat Institut Shanti Bhuana) Azriel Christian Nurcahyo; Listra Firgia; Yulianto Mustaqim
Journal of Information Technology Vol 1 No 2 (2021): Journal of Information Technology
Publisher : Institut Shanti Bhuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46229/jifotech.v1i2.200

Abstract

Menjelang persiapan visitasi online, penambahan prodi S1 Teknologi Informasi dan prodi Pendidikan Guru SD Shanti Bhuana pada Agustus 2020, tentunya diperlukan perombakan dari segi infrastruktur jaringan internet terutama bandwidth dan manajerial. Sejak tahun 2016-2019 jaringan gedung induk rektorat masih menerapkan routing dan login jaringan hot spot menggunakan bandwidth 10 Mbps yang dibagi 50 user secara bersamaan dengan teknik antrian sederhana. Pada tahun 2020 telah dilakukan overhaul jaringan oleh peneliti menggunakan bandwidth 100 Mbps pada jaringan utama, jaringan backup 20 Mbps, dan jaringan publik 5 Mbps dengan penerapan metode Hierarchical Token Bucket. Hasil pemerataan bandwidth dengan rata-rata pemakaian per minggu sebesar 95,35 % dari total throughput 100%, delay dari 177,9 ms menjadi 69,48 ms, packet loss dari 22,67% menjadi 1,67% dan jitter dari 189,4 ms menjadi 14.768 ms. Dengan jaringan HTB yang didistribusikan sesuai prioritas sehingga hingga saat ini overhaul jaringan oleh peneliti masih digunakan dengan backbone terbagi menjadi dua jalur publik RB 1100 AHx4 dan jalur administrasi RB 450G. Kata Kunci — bandwidth, hierchical token bucket, jaringan
KLASIFIKASI AUDIO MENGGUNAKAN WAVELET TRANSFORM DAN NEURAL NETWORK Yulianto Mustaqim; Ema Utami; Suwanto Raharjo
Informasi Interaktif Vol 4, No 2 (2019): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (327.256 KB)

Abstract

Biodiversity that exists in nature shows the overall variation between living things both from the smallest levels, namely genes, species and eskosistem. One animal with a fairly high level of variation, namely birds chirping. Chirping has an identifier for each type both of the color of the feather, body shape, shape of the beak, food, how to find food and the most obvious is the difference in the chirping of birds. The problem faced is the number of species of birds chirping that are almost similar to each other so the introduction of birds with sound becomes quite difficult. This makes the introduction of birds with sound requires a special technique. The techniques used are transform wavelets and neural networks. At the end of the study, obtained Wavelet Package Decomposition extraction with training data used as many as 500 data. There are two preprocessing methods that are done by cutting and resampling (downsampling). The most optimal number of neurons to be used in hidden layers is 256 neurons with 500 epochs. The highest accuracy is 88.6% with momentum 0.2, learning rate 0.2 and wavelet daubechies2 while the lowest accuracy is 74.2% with momentum 0.8, learning rate 0.8 and wavelets haar.  Keywords: Classification, Neural Network, Wavelet Transform, Haar, Daubechies2
Co-Authors Ema Utami Listra Firgia Nurcahyo, Azriel Christian Suwanto Raharjo