cover
Contact Name
Usman Ependi
Contact Email
u.ependi@binadarma.ac.id
Phone
-
Journal Mail Official
u.ependi@binadarma.ac.id
Editorial Address
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Location
Kota palembang,
Sumatera selatan
INDONESIA
Journal of Information Systems and Informatics
Published by Universitas Bina Darma
ISSN : 26565935     EISSN : 26564882     DOI : -
Core Subject : Science,
Journal-ISI is a scientific article journal that is the result of ideas, great and original thoughts about the latest research and technological developments covering the fields of information systems, information technology, informatics engineering, and computer science, and industrial engineering which is summarized in one publisher. Journal-ISI became one of the means for researchers to publish their great works published two times in one year, namely in March and September with e-ISSN: 2656-4882 and p-ISSN: 2656-5935.
Arjuna Subject : -
Articles 7 Documents
Search results for , issue "Vol 1 No 1 (2019): Journal of Information Systems and Informatics" : 7 Documents clear
BITCOIN-USD TRADING USING SVM TO DETECT THE CURRENT DAY’S TREND IN THE MARKET Ferdiansyah Ferdiansyah; Edi Surya Negara; Yeni Widyanti
Journal of Information System and Informatics Vol 1 No 1 (2019): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/journalisi.v1i1.7

Abstract

Bitcoin is a kind of Cryptocurrency and now is one of type of investment in the stock market. Stock markets are influenced by many risks of factor. And bitcoin is one kind of cryptocurrency that keep rising in recent few years, and sometimes fall without knowing influence behind it, on stock market. Because it’s fluctuations, there’s a need Automated tool to prediction of bitcoin on stock market. However, because of its volatility, there’s a need for a prediction tool for investors to help them consider investment decisions for bitcoin or another cryptocurrency trade. The predict methods will be used on this research is regime prediction to develop model to predict trend at the opening of market using SVM.
PALEMBANG EXPLORE APPLICATION USING ANDROID Nyimas Sopiah; Redho Aidil Iqrom
Journal of Information System and Informatics Vol 1 No 1 (2019): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/journalisi.v1i1.6

Abstract

This research produced an Palembang Exlore application which is an application for tourism promotion in Palembang City. Tourism here is not only historical sites, but also can be other tours, including historical or famous places / buildings in a city, where you can buy souvenirs or souvenirs, where to buy special foods from a region or culinary, and so on. This application is useful for tourists, both domestic and foreign who will visit the city of Palembang. So that tourists are expected to know all the tourist attractions that can be visited, ranging from tourist places or historic buildings to culinary tours of the city of Palembang. The method used in making this application or software uses the Extreme Programming method which consists of several stages, namely planning, design, coding and testing. The application is made using HTML 5 programming language. This application is used through the Android operating system
DESIGN OF INFORMATION SYSTEM FOR KOLONG CIKINI SCHOOL BASED ON ANDROID Rima Puji Lestari; Nurullah Husufa
Journal of Information System and Informatics Vol 1 No 1 (2019): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/journalisi.v1i1.1

Abstract

Anak jalanan di Jakarta banyak yang tidak dapat merasakan pemenuhan kebutuhan belajar secara penuh dan meninggalkan bangku sekolah dikarenakan anak harus bekerja untuk ikut membantu menunjang ekonomi keluarga. Sekolah Kolong Cikini merupakan organisasi non profit yang memfasilitasi anak jalanan untuk memberikan pendidikan alternatif agar anak jananan tersebut tetap dapat memperoleh haknya dalam pendidikan. Namun adanya keterbatasan media bagi para relawan untuk berbagi informasi menimbulkan informasi yang dibagikan tidak diterima dengan baik oleh anggota komunitas lainnya. Tujuan penelitian ini adalah untuk merancang aplikasi yang mampu menjadi sarana komunikasi antar anggota komunitas. Alur penelitian dilakukan dengan menggunakan metode System Development Life Cycle (SDLC) model Waterfall serta identifikasi masalah dengan menggunakan tahap analisis PIECES. Dengan adanya penelitian ini diharapkan dapat membantu komunitas sekolah kolong cikini dalam mengorganisir kegiatan, berbagi informasi, dan pengetahuan serta menjaga keakuratan data anggota pengajar dan data anak jalanan yang tergabung dalam sekolah kolong cikini.
OPTIMIZATION OF WIRELESS NETWORK PERFORMANCE USING THE HIERARCHICAL TOKEN BUCKET (CASE STUDY: MUHAMMADIYAH UNIVERSITY OF PALEMBANG) Yukos Pratama; Usman Ependi; Heri Suroyo
Journal of Information System and Informatics Vol 1 No 1 (2019): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/journalisi.v1i1.4

Abstract

Computer networks have penetrated into various fields including education for the learning process which is used as a medium for delivering scientific concepts to be more attractive and easily accepted. The Muhammadiyah University of Palembang currently has very high mobility, both used for browsing information, downloading data and using other facilities. For the need for bandwidth management to manage each passing data so that the distribution of bandwidth becomes evenly distributed by using the queue tree method that is applied to the proxy. To evaluate internet bandwidth analyze QoS (Quality of Service) using typhoid standardization in terms of measurement of throughput, delay, and packet loss. The results of this study show that the quality of the network with the hierarchical token bucket method is more optimal, this is because the bandwidth will be divided according to the rules applied to bandwidth management and does not cause clients to fight over bandwidth
ANALYSIS OF THE USE OF CELLULAR OPERATORS USING THE ANALYTIC HIERARCHY PROCESS METHOD Ari Muzakir; Usman Ependi
Journal of Information System and Informatics Vol 1 No 1 (2019): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/journalisi.v1i1.5

Abstract

The development of technology in the telecommunications sector is now easier to be enjoyed by the community. Almost all regions have been able to enjoy the ease of access to information through telecommunications networks. Telecommunications service providers certainly have competed in such a way as to be able to hold users to remain loyal to the provider used. From several surveys conducted, there are still many users who cannot be loyal to use the services of these providers. The increasing number of communication network providers makes users more choices. Various ways are carried out by communication network providers to maintain their users such as giving bonuses, providing cheap rates, increasing services to the regions. In this study will focus on the level of customer satisfaction with cellular operators with a variety of criteria that have been prepared which will be a consideration for users in using these cellular operators. This research will use the AHP method (Analytic Hierarchy Process) to find out which cellular operators are the most superior based on the judgment of the user with various criteria each. So that in the end it will be known which cellular operators will be selected and purchased by consumers according to their respective needs. The results of this study show that based on the bonus, IM3 is the best with a weight of 0.21712. Then based on the price rate, a tri card with a weight of 0.16565. Furthermore, the service criteria show a better Sympathy card with a weight of 0.21311
APPLICATION OF NAIVE BAYES CLASSIFIER ALGORITHM IN DETERMINING NEW STUDENT ADMISSION PROMOTION STRATEGIES Ahmad Haidar Mirza
Journal of Information System and Informatics Vol 1 No 1 (2019): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/journalisi.v1i1.2

Abstract

Data Mining is a process that uses statistical techniques, mathematics, artificial intelligence, machine learning to extract and identify useful information and related knowledge from large databases. Data mining is the process of finding new patterns in data by filtering large amounts of data. Data mining uses pattern recognition technology that is similar to statistical techniques and mathematical techniques. The patterns found can provide useful information for generating economic benefits, effectiveness and efficiency. Algorithm Naive Bayes Classifier is one method of data mining that can be used to support effective and efficient promotion strategies. The Naive Bayes Classifier algorithm is used to predict the interest of the study based on the calculations performed. The data used are new student registration data from 2014 until 2016 at Bina Darma University. The results of this study are new models that are expected to provide important information can be used to assist the Marketing Team of Bina Darma University Palembang in policy making and implementation of appropriate marketing strategy. The results obtained are expected to help to support the promotion strategies that impact on the effectiveness and efficiency of promotion and increase the number of new students who will register.
TESTING OF TECHNOLOGY ACCEPTANCE MODEL ON E-LEARNING BASED EDMODO FRAMEWORK: A PERSPECTIVE OF STUDENTS PERCEPTION Aang Kisnu Darmawan; Nur Umamah
Journal of Information System and Informatics Vol 1 No 1 (2019): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/journalisi.v1i1.3

Abstract

E-learning is the application of Information and Multimedia Technology in the field of Education which is currently the main trend in the learning process in the classroom. E-learning is currently designed by integrating the learning process using features in social media so as to facilitate the interaction of teachers and students that are expected to improve the efficiency and effectiveness of classroom learning. However, in practice there are still few teachers, educators and students who can apply e-learning well, because they think that the application of e-learning is difficult to implement in classroom learning. Edmodo is one of the most used e-learning framework because of its ease in its application. This study aims to measure the level of student acceptance of the application of edmodo-based e-learning by using the Technology Acceptance Model (TAM). The method used uses the survey method for 160 upper secondary students. Data analysis was performed using Structural Equation Modeling (SEM) with the help of AMOS 24 software. The results showed that the application of Edmodo-based e-learning had a positive and significant effect on students' motivation and learning outcomes in the classroom.

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