cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
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
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. 2 (2020): Journal of Computer and Information Systems Ampera" : 5 Documents clear
Penerapan Metodologi Tozer Dalam Perencanaan Strategis Sistem Informasi Pada PT Telekomunikasi Indonesia Tbk Witel Bandung Valentina Risky Budi Prawestri; Agustinus Fritz Wijaya
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 Ayu Gahardina; Ilman Zuhri Yadi
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 Viona Afrilia; 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 Leo Putrawan Handho; Susan Dian Purnamasari
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; Yesi Novaria Kunang
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%

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2020 2020


Reset
Filter By Issues
All Issue Vol. 1 No. 01 (2025): Journal of Computer and Information Systems Ampera Vol. 6 No. 1 (2025): January Vol. 5 No. 3 (2024): Journal of Computer and Information Systems Ampera Vol. 5 No. 2 (2024): Journal of Computer and Information Systems Ampera Vol. 5 No. 1 (2024): Journal of Computer and Information Systems Ampera Vol. 4 No. 3 (2023): Journal of Computer and Information Systems Ampera Vol. 4 No. 2 (2023): Journal of Computer and Information Systems Ampera Vol. 4 No. 1 (2023): Journal of Computer and Information Systems Ampera Vol. 3 No. 3 (2022): Journal of Computer and Information Systems Ampera Vol. 3 No. 2 (2022): Journal of Computer and Information Systems Ampera Vol. 3 No. 1 (2022): Journal of Computer and Information Systems Ampera Vol. 2 No. 3 (2021): Journal of Computer and Information Systems Ampera Vol. 2 No. 2 (2021): Journal of Computer and Information Systems Ampera Vol. 2 No. 1 (2021): Journal of Computer and Information Systems Ampera Vol. 1 No. 3 (2020): Journal of Computer and Information Systems Ampera Vol. 1 No. 2 (2020): Journal of Computer and Information Systems Ampera Vol. 1 No. 1 (2020): Journal of Computer and Information Systems Ampera More Issue