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Dhihik Prastiyanto
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Electrical & Electronics Engineering

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STRUKTUR JARINGAN KOMUNIKASI DATA PAKET BERDASAR PROTOKOL X.25 Prastiyanto, Dhihik
Jurnal Teknik Elektro Vol 2, No 2 (2010): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

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Abstract

Dalam berkomunikasi antar jaringan, komputer, terminal, atau perangkat keras lainnyadiperlukan aturan-aturan yang rumit. Aturan-aturan tersebut mengaktifkan jalur komunikasidan memberikan informasi pada jaringan mengenai identitas sistem yang dituju. Sumberharus memastikan bahwa sistem yang dituju telah siap menerima. Jadi untuk berkomunikasiatau melakukan pertukaran informasi melalui media pada suatu jaringan diperlukan suatuaturan yang disebut protokol. Jaringan komunikasi data paket mempunyai struktur tertentusesuai dengan protokol yang digunakan.Kata Kunci: Protokol X.25, struktur jaringan, pertukaran informasi
APLIKASI JARINGAN SARAF TIRUAN BACKPROPAGATION UNTUK MEMPREDIKSI PENYAKIT THT DI RUMAH SAKIT MARDI RAHAYU KUDUS Jumarwanto, Arif; Hartanto, Rudi; Prastiyanto, Dhihik
Jurnal Teknik Elektro Vol 1, No 1 (2009): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

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Abstract

Artificial neural network (ANN) is a modern computing paradigm. That can be used for the pattern recognition and other. Backpropagation is artificial neural network which using hidden layer addition. Computation of artificial neural network through some certain step like training phase and examination. After both the step reached, so a neural network capable to recognize pattern to be entered will be found.The purpose of this research is simulation of artificial neural network that capable to pattern recognition from output of electrocardiogram by helped of MATLAB program. Input of result electrocardiogram record, then input of data can be normalization after that data can be proccesed by backpropagation computing with two step (training phase and examination phase). Output of ANN is like explaning condition of patient is normal, rhinitis kronis or epistaksis.Keyword : rhinitis kronis, epistaksis, artificial neural network.
STRUKTUR JARINGAN KOMUNIKASI DATA PAKET BERDASAR PROTOKOL X.25 Prastiyanto, Dhihik
Jurnal Teknik Elektro Vol 2, No 2 (2010): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v2i2.1546

Abstract

Dalam berkomunikasi antar jaringan, komputer, terminal, atau perangkat keras lainnyadiperlukan aturan-aturan yang rumit. Aturan-aturan tersebut mengaktifkan jalur komunikasidan memberikan informasi pada jaringan mengenai identitas sistem yang dituju. Sumberharus memastikan bahwa sistem yang dituju telah siap menerima. Jadi untuk berkomunikasiatau melakukan pertukaran informasi melalui media pada suatu jaringan diperlukan suatuaturan yang disebut protokol. Jaringan komunikasi data paket mempunyai struktur tertentusesuai dengan protokol yang digunakan.Kata Kunci: Protokol X.25, struktur jaringan, pertukaran informasi
APLIKASI JARINGAN SARAF TIRUAN BACKPROPAGATION UNTUK MEMPREDIKSI PENYAKIT THT DI RUMAH SAKIT MARDI RAHAYU KUDUS Jumarwanto, Arif; Hartanto, Rudi; Prastiyanto, Dhihik
Jurnal Teknik Elektro Vol 1, No 1 (2009): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v1i1.1601

Abstract

Artificial neural network (ANN) is a modern computing paradigm. That can be used for the pattern recognition and other. Backpropagation is artificial neural network which using hidden layer addition. Computation of artificial neural network through some certain step like training phase and examination. After both the step reached, so a neural network capable to recognize pattern to be entered will be found.The purpose of this research is simulation of artificial neural network that capable to pattern recognition from output of electrocardiogram by helped of MATLAB program. Input of result electrocardiogram record, then input of data can be normalization after that data can be proccesed by backpropagation computing with two step (training phase and examination phase). Output of ANN is like explaning condition of patient is normal, rhinitis kronis or epistaksis.Keyword : rhinitis kronis, epistaksis, artificial neural network.
Co-Authors Arif Jumarwanto Rudi Hartanto