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INDONESIA
Indonesian Journal on Computing (Indo-JC)
Published by Universitas Telkom
ISSN : 24609056     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
Indonesian Journal on Computing (Indo-JC) is an open access scientific journal intended to bring together researchers and practitioners dealing with the general field of computing. Indo-JC is published by School of Computing, Telkom University (Indonesia).
Arjuna Subject : -
Articles 12 Documents
 1   2 
Search results for , issue "Vol. 2 No. 1 (2017): Maret, 2017" : 12 Documents clear
Modifikasi Headstega berdasarkan Penyisipan Karakter Hasmawati Hasmawati; Ari Moesriami Barmawi
Indonesia Journal on Computing (Indo-JC) Vol. 2 No. 1 (2017): Maret, 2017
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/INDOJC.2017.2.1.145

Abstract

AbstractHead steganography or Headstega is one of noiseless steganography paradigm, or Nostega.This method utilizes the email header as a media of  message concealment. There are several problems that can be enhanced in Headstega, i.e. low embedding capacity and high level of suspicion. Modified Headstega based on Character Hiding uses a combination of consonant vowel to embed the secret messages into email address. The messages embedding process using four consonant vowel combination that represented one character in Indonesian language.  From the experiments conducted, the results obtained that the Modified Headstega has a better performance than the Original Headstega in term of embedding capacity and also in suspicion level. Keyword : Steganography, Nostega, Headstega, Character Hiding
Prediksi Indeks Harga Saham dengan Metode Gabungan Support Vector Regression dan Jaringan Syaraf Tiruan Lisbeth Evalina Siahaan
Indonesia Journal on Computing (Indo-JC) Vol. 2 No. 1 (2017): Maret, 2017
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/INDOJC.2017.2.1.45

Abstract

Harga suatu saham berubah secara cepat dari waktu ke waktu. Pergerakan indeks harga saham menjadi tolak ukur para pemilik saham untuk membuat keputusan kapan sebaiknya saham dibeli, dijual atau dipertahankan. Untuk itu diperlukan suatu model yang dapat memprediksi indeks harga saham untuk memantau pergerakan tersebut dan membantu para pemilikk saham dalam mengambil keputusan. Penelitian ini mengusulkan metode untuk memprediksi pergerakan harga saham dengan menggunakan metode gabungan Support Vector Regression (SVR) pada tahap dan Jaringan Syaraf Tiruan (JST) pada tahap kedua. Pada penelitian ini, Algoritma Genetika atau Genetic Algorithm (GA) akan digunakan untuk melakukukan optimasi parameter SVR. Prediksi dibuat untuk 1, 3, 5, 7, 10, 15, dan 30 hari kedepan. Dari serangkaian uji coba yang dilakukan, SVR-JST (SVR dioptimasi GA) memberikan tingkat kesalahan lebih kecil dibandingkan dengan metode JST.

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