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Journal of Computer and Information Systems Ampera
Published by Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer
ISSN : -     EISSN : 27752496     DOI : https://doi.org/10.51519
Core Subject : Science,
Computer Science & IT
Journal of Computer and Information Systems Ampera (Journal-CISA) is an online journal that organized and managed independently by the consortium of informatics lecturers. Journal-SEA is an open-access journal that is provided for researchers, lecturers, and students who will publish research results in the field of all of thing about software engineering and its process.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 1 No. 1 (2020): Journal of Computer and Information Systems Ampera" : 5 Documents clear
Analisis Faktor Kesesuaian pada Teknologi SIMAK Dengan Tugas Dosen Menggunakan Model Task Technology Fit (Study Kasus: Universitas Tridinati Palembang) Ahmad Bayu Rinaldo; Gusmelia Testiana; Rusmala Santi
Journal of Computer and Information Systems Ampera Vol. 1 No. 1 (2020): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v1i1.1

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh faktor kesesuaian tugas-teknolgi (task- technology fit) SIMAK terhadap tugas dosen pada Universitas Tridinati Palembang. Penelitian ini menggunakan sampel sebanyak 124 responden. Metode pengumpulan data menggunakan kuesioner baik secara offline dan online. Teknik analisis data yang digunakan adalah analisis PLS-SEM. Hasil dari penelitian ini menunjukkan bahwa karakteristik tugas berpengaruh terhadap task technology fit, terbukti dari nilai t-statistiknya yang lebih besar dari nilai t- tabelnya sebesar 13,622. Selain itu besarnya pengaruh variabel pada model task technology fit sebesar 51,2%, sehingga berdasarkan hal tersebut dapat disimpulkan bahwa penerimaan SIMAK Online sudah diterima oleh pengguna.
Analisis Perspektif Pengguna Terhadap Website Faculty of Communication, Visual Art and Computing (FCVAC) Menggunakan Teknik Systyem Usability Scale (SUS) Nia Adila; Putri Melani; Novia Sukma
Journal of Computer and Information Systems Ampera Vol. 1 No. 1 (2020): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v1i1.2

Abstract

This practical work aims to evaluate and assess the level of user usefulness at the Universiti Selangor Faculty of Communication, Visual Art and Computing (FCVAC) website. The method used in collecting data needed in writing this practical work report is to use a questionnaire created in accordance with the System Usability Scale (SUS) technique filled out online using Google Form, while the writing technique uses descriptive techniques. And based on the observation of the author during practical work on the use of users on the website of the Faculty of Communication, Visual Art and Computing (FCVAC) Universiti Selangor, its usability can be accepted by the user so that the website can be used properly
Jaringan Syaraf Tiruan Untuk Memprediksi Penjualan Pakaian Menggunakan Algoritma Backpropagation M. Fadhil Mubarokh; Muhammad Nasir; Dinny Komalasari
Journal of Computer and Information Systems Ampera Vol. 1 No. 1 (2020): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v1i1.3

Abstract

Penilitian ini memprediksi penjualan pakaian yang terdiri dari penjualan Gamis dan penjualan Jilbab yang terdapat pada Toko Sumber Busana Palembang dengan menggunakan metode Jaringan Syaraf Tiruan. Jaringan Syaraf Tiruan merupakan salah satu representasi buatan dari otak manusia yang selalu mencoba untuk mensimulasikan proses pembelajaran otak manusia. Untuk saat ini persaingan penjualan pakain semakin ketat diiringi dengan meningkatnya tingkat ekonomi masyarakat. Market share atau prediksi penjualan, merupakan suatu bentuk acuan tiap perusahaan untuk mendapatkan hasil yang optimalPenerapannya menggunakan algoritma Backpropagation dimana suatu data yang diinputkan Jumlah Terjual, Pemasukkan, Pengeluaran, dan saldo sebagai data target. Kemudian dibentuk suatu Jaringan Syaraf Tiruan dengan menentukan jumlah unit dalam setiap lapisan. Setelah Jaringan terbentuk dilakukan training dari data yang sudah dikelompokkan tersebut. Percobaan itu dilakukan dengan arsitektur jaringan yang terdiri dari unit masukan , unit tersembunyi, unit keluaran, dan arsitektur jaringan 3-3-1. Pengujian dalam penelitian ini dilakukan dengan perangkat lunak Matlab
Digital Signature Pada Citra Digital Menggunakan Algoritma Rc6 Studi Kasus: Dokumen Kartu Keluarga Hasril Yusuf; Afriyudi Afriyudi; Hadi Syaputra
Journal of Computer and Information Systems Ampera Vol. 1 No. 1 (2020): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v1i1.4

Abstract

The confidentiality of a document is an important requirement for the people of this age to protect their privacy from people who have no right to know it. To overcome this, an application that can encrypt document files in the form of digital images is needed so that it is not known by others. . The algorithm that has been developed in this study we use the RC6 algorithm as an algorithm method. The purpose of this system will be to help specifically in the administration section to enter or store documents, find and create reports that will be seen by government installations in an encrypted form, and if needed as information can easily be decrypted again. The development method uses the waterfall model. The analytical tool used is Use case, Activity, Diagram, and Class Diagram. The software used is Dreamweaver and Xampp. This system is built in order to provide convenience in processing document data
Penerapan Rule Based Dengan Algoritma Viterbi Untuk Deteksi Kesalahan Huruf Kapital Pada Karya Ilmiah Reza Juanda; Ilman Zuhri Yadi
Journal of Computer and Information Systems Ampera Vol. 1 No. 1 (2020): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v1i1.5

Abstract

The use of capital letters is one element of the grammar of the Indonesian Spelling General Guidelines (PUEBI). According to the Large Indonesian Language Dictionary (KBBI), capital letters are letters of a special size and shape (larger than ordinary letters), usually used as the first letter of the first word in a sentence, the first letter of the name itself, and so on. The use of capital letters in a paper is required. However, the ability to use letters of public capital still tends to be not so good. The problem is writing that has not followed the Indonesian Spelling General Guidelines (PUEBI) rules. Settlement steps on how to implement an Indonesian Spelling General Guidelines (PUEBI) rule into the software. Therefore, the author will try to make a software that can automatically detect if there are errors in writing according to the rules of general Indonesian spelling guidelines (PUEBI) on documents, journals, bibliography and scientific works

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