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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA JURIKOM (Jurnal Riset Komputer) Jurnal ICT : Information Communication & Technology
Eri Riana, Eri
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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IMPLEMENTASI CLOUD COMPUTING TECHNOLOGY DAN DAMPAKNYA TERHADAP KELANGSUNGAN BISNIS PERUSAHAAN DENGAN MENGGUNAKAN METODE AGILE DAN STUDI LITERATUR Riana, Eri
JURIKOM (Jurnal Riset Komputer) Vol 7, No 3 (2020): Juni 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (530.774 KB) | DOI: 10.30865/jurikom.v7i3.2192

Abstract

Cloud Computing technology is a new paradigm in the delivery of computing services, Cloud Computing has many advantages compared to conventional systems usually. The development of business at this time began to compete globally to be able to satisfy customers, so companies need access to information that is fast and accurate. In order to access information quickly, companies need to build Information and Communication Technology infrastructure that requires large capital, on the other hand cloud computing is present as an alternative solution. Services provided by cloud computing include hardware, infrastructure, platforms and applications. Cloud computing is very useful, because it can reduce computing costs, increase reliability and provide considerable opportunities for the industrial world. One company that provides cloud computing services is Google. The features of cloud computing are believed to be far more efficient and satisfying. The problem that arises is how companies implement Cloud Computing using Google Cloud and how to carry out the process of deployment and provisioning of Google Cloud SQL Database. The purpose of this research is to provide a study of the benefits of implementing Google Cloud for companies to improve business competitiveness so tightly. This research uses Agile method and literature study, which begins with planning, implementation, testing, documentation, deployment, maintenance, problem identification and analysis and discussion related to Google Cloud, where the results of this research are that Google Cloud can create a model business is more flexible, and faster. The purpose of writing this journal is to provide an overview of the understanding of cloud computing and its development as well as the advantages and disadvantages of companies that use Cloud Computing technology. Based on these searches it is known that Cloud Computing as a technology that utilizes internet services uses a virtual central server for the purpose of maintaining data and applications. The existence of Cloud Computing itself has caused changes in the workings of information technology systems in a company. Security and data storage systems are important for companies. Cloud Computing technology has provided huge benefits for most companies. To carry out the process, the device needs to be prepared include hardware such as HPE DL 20 Gen 10 E-2136-4 SFF Server Computer, 2x1 TB SATA 7.2K 3.5 "Hard Drive, 256GB RAM, minimum bandwidth of 5 Mbps and software requirements including Windows Server 2012 R2 Enterprise, VMM, Google Cloud Platform Enterprise, SQL Server 2012
Sistem Pakar Diagnosa Gangguan Hiperaktif Pada Anak Dengan Metode Naive Bayes Berbasis Web Ervinaeni, Yunia; Hidayat, Aziz Setyawan; Riana, Eri
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 2 (2019): April 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v3i2.1158

Abstract

Disorder concentration attention or better known as ADHD (Attention Deficit Hyperactivity Disorder) is one of the main psychiatric problems that are often found in children. Hyperactive disorders are usually seen in children and as we get older the more difficult to deal with. There were 3 hyperactive disorders taken in this study namely hyperactivity, Impulsivity, Inattetion (Personality Problems). To help diagnose these hyperactive disorders, an expert system application is made to diagnose hyperactive disorders in children that can facilitate the public in diagnosing hyperactive disorders in children. Making this web-based expert system application uses the Naive Bayes method. The Naive Bayes method is a simple opportunity classification based on the application of the Bayes theorem with the assumption that between variables (independent) the presence or absence of a particular event from a group is not related to the presence or absence of other events. The final results are given in the form of a percentage of the diagnosis of hyperactivity in children.
Implementasi Metode Weighted Product Dan Fuzzy C-Means Dalam Pemilihan Peminatan Jurusan Pada SMA Perguruan Rakyat 2 Riana, Eri
JURIKOM (Jurnal Riset Komputer) Vol 5, No 6 (2018): Desember 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v5i6.999

Abstract

As per the rules applicable curriculum in Indonesia, high school students of class X to class XI up to experience election majors. Majors are available in the high school fields of interest include Natural Sciences, Social Sciences, and Linguistics. Majors will be tailored to students' abilities in areas of interest that exist, the goal for later in life, lessons are given to students to be more focused because it was in accordance with the ability of the field of interest. One of the considerations for selecting students are majors in determining student achievement in semester one and two (class X) in the form of scores. Lack of accuracy of the electoral process in the majors with the manual system of high school led to the need for the use of computational methods for grouping students majoring in the electoral process. Weighted Product Method and Fuzzy C-Means is a method that is easy and often used in the data grouping technique for making an estimate that is efficient and does not require a lot of parameters. Several studies have concluded that the method of Weighted Product and Fuzzy C-Means can be used to classify data based on certain attributes. This research will be used Weighted Product method and Fuzzy C-Means to cluster the data based on high school students value the core subjects for the majors. This study also tested the accuracy of the method and the Product Weighted Fuzzy C-Means in determining the majors in high school.
Perancangan Sistem Informasi Integrated Payment (iPayment) Menggunakan Metode Scrum Riana, Eri
Jurnal ICT : Information Communication & Technology Vol 20, No 2 (2021): JICT-IKMI, Desember 2021
Publisher : STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v20i2.389

Abstract

Perkembangan ilmu pengetahuan dan teknologi telah membawa kita pada suatu lembaran baru jaman. Komunikasi dan informasi merupakan salah satu bidang yang terkena imbas manfaat dari perkembangan tersebut. Pergerakan arus informasi dewasa ini berlangsung secara cepat, setiap khalayak kini  mampu  mengakses  informasi  kapan  pun  dan  dimana  pun.  Hal  tersebut menuntut kita bekerja lebih keras dalam mendaya-gunakan segala manfaat dari perkembangan teknologi informasi untuk mencapai kinerja efisien, efektif, dan optimal. Untuk mendukung hal tersebut, salah satu tahapan yang harus dimiliki oleh suatu perusahaan adalah kemampuan pengelolaan sistem informasi data secara aktual dan berkesinambungan yang pada saat ini masih kurang optimal. Tujuan dalam penulisan jurnal ini adalah untuk membuat suatu sistem payment yang terintegrasi satu sama lainnya dengan menggunakan Agile software development yaitu metode Scrum. Proses pengembangan sistem ini menggunakan tahapan pengembangan User Stories, Product Backlog, Sprint Backlog, Sprint, Review Demo Product, Delivery Product. Dari hasil pengembangan sistem iPayment ini diharapkan mencapai hasil optimal selama kegiatan operasional.
Co-Authors Aziz Setyawan Hidayat, Aziz Setyawan Ervinaeni, Yunia