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All Journal Sistem : Jurnal Ilmu-Ilmu Teknik Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Janitra Informatika dan Sistem Informasi Jurnal Informasi Sains dan Teknologi (ISAINTEK) Jurnal Ilmu Komputer SmartComp Jurnal Kecerdasan Buatan dan Teknologi Informasi Journal of Information System and Application Development E-Amal: Jurnal Pengabdian Kepada Masyarakat Jurnal ilmiah teknologi informasi Asia
Akhlis Munazilin, Akhlis
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Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Other

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Perancangan Arsitektur Interprise Dalam Organisasi Kemahasiswaan BEM Saintek Dengan Menggunakan Metode Togaf Munazilin, Akhlis; Anzori, Anzori
Jurnal Informasi, Sains dan Teknologi Vol. 7 No. 1 (2024): Juni: Jurnal Informasi Sains dan Teknologi
Publisher : Politeknik Negeri FakFak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/isaintek.v7i1.215

Abstract

Salah satu tujuan dari penerapan arsitektur perusahaan adalah menciptakan keselarasan antara bisnis dan informasi teknologi bagi kebutuhan organisasi. Penerapan arsitektur enterprise tidak terlepas dari bagaimana sebuah organisasi merencanakan dan merencanakan arsitektur enterprise tersebut. Tahapan dalam pengembangan model arsitektur enterprise sangatlah penting dan akan berlanjut pada tahapan berikutnya yaitu rencana implementasi. Penelitian ini membangun sebuah perusahaan arsitektur yang nantinya bisa dijadikan oleh organisasi untuk mencapai tujuan strateginya. Model arsitektur ini dapat dijadikan sebagai model dasar bagi institusi perguruan tinggi dalam pengembangan arsitektur enterprise.
Prediksi Harga Bitcoin Menggunakan Support Vector Regression (SVR) Berbasis Particle Swarm Optimization (PSO) Parlika, Rizky; Wahyudi, Wahyudi; Budi Trisnawan, Ahmad; Munazilin, Akhlis; Karunia Farista Ananto, Prasasti
JURNAL FASILKOM Vol. 16 No. 2 (2026): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v16i2.11583

Abstract

Bitcoin prices exhibit high volatility and complex non-linear patterns, making accurate price predictions challenging in the context of cryptocurrency market research. In this study, an optimized SVR-PSO predictive modeling approach is developed to help predict Bitcoin prices, and its performance is compared against a Grid Search-optimized SVR baseline. The SVR-PSO modeling approach developed in this study uses daily historical Bitcoin records obtained from Yahoo Finance between March 10, 2019, and May 11, 2026. The data consists of open, high, low, close, and volume values as attributes, and the closed value as the target. Data preprocessing consists of chronologically organizing the data, removing blank rows, min-max scaling, and splitting the data into 80:20 for training and testing. PSO is used to identify the optimal SVR parameters C, ε, and γ with the aim of reducing MAPE. The optimal parameters for the SVR model are C = 501, ε = 0.001, and γ = 0.001. On the test dataset, the SVR-PSO model achieved an MAE of 1,521.47, an RMSE of 2,101.70, a MAPE of 1.65%, and an R² of 0.9813, outperforming the SVR-GridSearch baseline (MAE 1,559.87; RMSE 2,128.52; MAPE 1.69%; R² 0.9809). These results suggest that SVR-based Bitcoin price prediction is more accurate when optimized using PSO than using a discrete Grid Search.
Co-Authors AHMAD LUTFI Fatah, Zaehol Husnah, Kamiliatul Jundanuddin, Muhammad Karimah, Ummul Lazim, Farihin Muhammad Rofiq Muqtadir, Faidhul Nasruddin Nasruddin Parlika, Rizky Prasasti Karunia Farista Ananto Prasetyariansyah, Ifan Puspitasari, Selvi Rohmani, Nailu Sofwatur Sunardi Sunardi Tawakal, Anzori Trisnawan, Ahmad Budi Udmah, Lailatul Wahyudi Wahyudi wahyudi, Ferdi