cover
Contact Name
Usman Ependi
Contact Email
u.ependi@binadarma.ac.id
Phone
+6281271103018
Journal Mail Official
cisajournal@gmail.com
Editorial Address
Kampus Utama Universitas Bina Darma Lt. 7 Jl. A. Yani No 3 Seberang Ulu I Palembang
Location
Kota bandung,
Jawa barat
INDONESIA
Journal of Computer and Information Systems Ampera
ISSN : -     EISSN : 27752496     DOI : https://doi.org/10.51519
Core Subject : Science,
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.
Articles 25 Documents
Analisis Faktor Kesesuaian pada Teknologi SIMAK Dengan Tugas Dosen Menggunakan Model Task Technology Fit (Study Kasus: Universitas Tridinati Palembang) Rinaldo, Ahmad Bayu; Testiana, Gusmelia; Santi, Rusmala
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) Adila, Nia; Melani, Putri; Sukma, Novia
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 Mubarokh, M. Fadhil; Nasir, Muhammad; Komalasari, Dinny
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 Yusuf, Hasril; Afriyudi, Afriyudi; Syaputra, Hadi
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 Juanda, Reza; Yadi, Ilman Zuhri
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
Penerapan Metodologi Tozer Dalam Perencanaan Strategis Sistem Informasi Pada PT Telekomunikasi Indonesia Tbk Witel Bandung Prawestri, Valentina Risky Budi; Wijaya, Agustinus Fritz
Journal of Computer and Information Systems Ampera Vol. 1 No. 2 (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.v1i2.34

Abstract

Strategic planning of information systems is one of the keys in achieving the target expected by an organization. With interviews, observations, and document studies, this study aims to 1) evaluate strategic planning based on strengths, weaknesses, opportunities and threats in improving quality at PT. Telekomunikasi Indonesia Tbk, Witel Bandung to find strategic information sisem 2) develop strategically using Tozer method with SWOT Analysis analysis (strength, weakness, opportunities, threats), Value Chain Porter, CSF Analysis (Critical Success Factor), McFarlan Grid's Portfolio Application Analysis, PEST Analysis. The final result of this research in the form of strategic planning recommendations of information systems will be useful to improve the information system in PT. Telecommunications Indonesia Tbk, Witel Bandung.
Analisis Graph Clustering Terhadap User Behavior Di Official Account Facebook Universitas Bina Darma Palembang Gahardina, Ayu; Yadi, Ilman Zuhri
Journal of Computer and Information Systems Ampera Vol. 1 No. 2 (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.v1i2.35

Abstract

At a time when the times are increasing, it cannot be denied that almost some people use social media as a means of communication. Not only is it a means of communication, even social media is a place to show their habits. Without realizing it, the more information that is spread on social media regarding self-information, it will make information that can benefit others. User Behavior Analytics as defined by Gartner is a cybersecurity process of detection of insider threats, targeted attacks and financial fraud. The UBA solution looks at patterns of human behaviour and then applies algorithms and statistical analysis to detect meaningful anomalies of those patterns. Gephi is an open-source network visualization platform that can be used to analyze various cases using graph visualization. One of these analyzes can be done by using data that has been scraped from social media, Facebook, social media, Bina Darma University to get data visualization of the cases being tested. From these results, the graph clustering process is carried out in Gephi to obtain data clusters. The results will then be analyzed and identified so that they can become material for information about social media user behaviour.
Analisis Optimalisasi Persediaan Barang Dengan Menggunakan Metode Economic Order Quantity Pada PT. Aneka usaha Afrilia, Viona; Jemakmun, Jemakmun
Journal of Computer and Information Systems Ampera Vol. 1 No. 2 (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.v1i2.36

Abstract

PT. Aneka Usaha sebelumnya belum pernah menerapkan suatu metode untuk pengelolaan persediaan barang mereka dan hanya menggunakan perkiraan-perkiraan saja. Hasil penelitian menunjukkan jika perhitungan menggunakan metode EOQ mampu menghemat biaya persediaan. Penghematan biaya yang didapatkan adalah untuk tahun 2017 terjadi penghematan biaya sebesar Rp.4.048.420, tahun 2018 sebesar Rp.4.833.344 dan 2019 sebesar Rp.6.865.523. Didapatkan 5 kali pemesanan dalam satu tahun dengan menggunakan metode EOQ. Perusahaan juga belum pernah menerapkan persediaan pengaman,dengan menggunakan perhitungan EOQ, hasil yang didapatkan menunjukkan persediaan pengaman untuk tahun 2017 sebesar 606 pcs, tahun 2018 sebesar 738 pcs dan 2019 sebesar 816 pcs. Karena sudah terbukti mengalami penghematan dengan metode EOQ sebaiknya perusahaan segera menggunakan metode EOQ untuk pengelolaan persediaan barang mereka kedepannya
Dasboard Monitoring Mahasiswa Dan Lulusan Untuk Meningkatkan Potensi Penerimaan Mahasiswa Baru Serta Strategi Pemasaran Handho, Leo Putrawan; Purnamasari, Susan Dian
Journal of Computer and Information Systems Ampera Vol. 1 No. 2 (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.v1i2.37

Abstract

In the development of information technology today, information technology can be used in various aspects of the world of work to help and facilitate the work, one of which is in the field of education or academic. One example is at a university. The university is very important in looking at and monitoring the performance of its students and graduates, to support the need for information quickly and up to date on various business processes, so that executives at a university can see the development and analyze the data well. This research will use the science of information technology namely business intelligence by using the OLAP (Online Analyctical Processing) method that there are stages in it, among others, Analysis Services Project, Integration Service Project, and Reportin. This research was designed with a monitoring system through a dashboard. This dashboard with a Business Intelligence perspective not only dynamically monitors, but also provides predictive results information to support decisions for executives at a university
Pengembangan Aplikasi Pengenalan Aksara Komering Menggunakan Metode Deep Learning Berbasis Android Mahmud, Mahmud; Kunang, Yesi Novaria
Journal of Computer and Information Systems Ampera Vol. 1 No. 2 (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.v1i2.38

Abstract

Penggunaan aksara Komering dari waktu ke waktu mulai ditinggalkan di kalangan masyarakat suku Komering dengan banyaknya budaya luar masuk ke Indonesia. Penelitian ini bertujuan untuk melestarikan dan menghidupkan kembali aksara Komering beserta bahasanya dengan menggunakan pemanfaatan teknologi Deep learning yang dibenamkan kedalam aplikasi android. Teknologi DL yang merupakan suatu sub ilmu dari bidang Machine Learning yang dikembangkan atas dasar cara berfikir dari struktur otak manusia sehingga dapat menghasilkan klasifikasi yang lebih baik. Salah satu algoritma dari DL yang terkenal baik dalam mengenali gambar ialah Convolutional Neural Network. Pada penelitian ini percobaan pengklasifikasian gambar aksara Komering dilakukan dengan data sebanyak 1540 gambar, 29 class. Hasil yang didapatkan dari data testing dengan data asli yaitu 58%, sedangkan untuk testing data augmented 80%. Persentase dalam pengujian aplikasi android melalui kamera 84,14%, galeri 87,58% dan penulisan 93,79%

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