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Jaringan Syaraf Tiruan Untuk Memprediksi Nilai Siswa SMA Menggunakan Backpropagation Evan Hikler Damanik; Eka Irawan; Fitri Rizki
Jurnal Sistem Informasi dan Ilmu Komputer Prima(JUSIKOM PRIMA) Vol. 4 No. 2 (2021): Jurnal Sistem Informasi dan Ilmu Komputer Prima (JUSIKOM Prima)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v4i2.1500

Abstract

Penguasaan seorang siswa/i terhadap sebuah mata pelajaran sangat mempengaruhi pemberian nilai yang dilakukan oleh pengajar yang bersangkutan. Perlunya pengajar atau guru memantau setiap nilai dari siswa/i yang diajarkan ilmu pengetahuan pada bidangnya masing-masing. Dengan perkembangan teknologi yang sangat cepat, sangat membantu pengajar dalam mengetahui atau memprediksi nilai yang akan didapatkan siswa/i terkait. Penelitian ini bertujuan untuk menerapkan kinerja jaringan syaraf tiruan algoritma backpropagation dalam memprediksi nilai siswa/i sekolah menengah atas dengan berbagai model dan meminimalkan error nya. Pada penelitian ini penulis menggunakan data nilai siswa/i sekolah menengah atas negeri 1 sidamanik. Dalam pengolahan data nilai, penulis menggunakan jaringan syaraf tiruan dengan algoritma backpropagation sebagai langkah-langkah logis untuk melakukan prediksi nilai ujian nasional siswa/i sekolah menengah atas. Pokok permasalahan pada penelitian ini adalah terjadinya penurunan nilai ujian nasional siswa/i dibeberapa mata pelajaran, yang kedepannya siswa/i akan mengalamin kesulitan dalam mencapai universitas atau sekolah tinggi yang diinginkan. Kata Kunci: Nilai Siswa/i, Sekolah, JST, Backpropagation
PENGAMANAN BERKAS DOKUMEN MENGGUNAKAN FUNGSI ALGORITMA STEGANOGRAFI LSB Indra Gunawan; Sumarno Sumarno; Eka Irawan; Heru Satria Tambunan
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 2, No 1 (2018): April 2018
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (298.573 KB) | DOI: 10.30829/algoritma.v2i1.1617

Abstract

In the World of Information Technology computer science, data security something that is very important so that data can not be misused by some parties who have not / not have rights. In the delivery of documents documents is needed a security so that the document file can be accepted by those who have the right to receive it. It is therefore very necessary to process a document encryption / encryption file. Among the science of cryptography that can secure the document file such as LSB Steganography Algorithm (Least Significant Bit). This analysis aims to improve the security of document files by encoding a document file, then providing a password into the document file.Keywords : Encryption, Data Security, LSB Steganography, Files, Documents
PERANCANGAN REPOSITORY DIGITAL STIKOM TUNAS BANGSA MENGGUNAKAN CODEIGNITER Willy Hairis Resmantama Silaen; Saifullah Saifullah; Eka Irawan
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1682

Abstract

This study aims to design a Codeigniter-Based New Repository. This software serves to simplify the process of designing the repository. This research also aims to facilitate students and the general public to access examples of student thesis at Stikom Tunas Bangsa Pematangsiantar. This research method is Research and Development. The development model used is Waterfall which consists of analysis, design, implementation, and testing. Based on the results of this study, it can be concluded that the results of software development are in the form of Codeigniter-Based Digital Repository.Keywords: Repository, Code igniter.
SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI PEMILIHAN SMARTPHONE TERBAIK MENGGUNAKAN METODE TOPSIS Anggi Eryzha; Solikhun Solikhun; Eka Irawan
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1668

Abstract

Smartphones are a primary need for all upper class and lower class people. As these needs are many smartphone vendors that offer different prices, features, systems and technologies at competitive prices. Many people want specifications that are capable but limited in financial terms. This causes smartphone users not to be able to make the right choice according to their needs because the frequent selection of smartphones is based on prestige and consumer consumptive behavior. The TOPSIS method is a multicriteria method used to identify solutions from alternative sets based on simultaneous minimization of the ideal point distance and maximizing the distance from the lowest point. The expected results can be input to potential smartphone buyers in accordance with their finances and qualified specifications.Keywords: Decision Support System, Topsis Method, Smartphone.