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International Journal Of Computer, Network Security and Information System (IJCONSIST)
Published by Universitas Pembangunan Nasional Veteran Jawa Timur
ISSN : -     EISSN : 26863480     DOI : https://doi.org/10.33005/ijconsist.v3i1
Core Subject : Science,
Computer Science & IT
Focus and Scope The Journal covers the whole spectrum of intelligent informatics, which includes, but is not limited to : • Artificial Immune Systems, Ant Colonies, and Swarm Intelligence • Autonomous Agents and Multi-Agent Systems • Bayesian Networks and Probabilistic Reasoning • Biologically Inspired Intelligence • Brain-Computer Interfacing • Business Intelligence • Chaos theory and intelligent control systems • Clustering and Data Analysis • Complex Systems and Applications • Computational Intelligence and Soft Computing • Cognitive systems • Distributed Intelligent Systems • Database Management and Information Retrieval • Evolutionary computation and DNA/cellular/molecular computing • Expert Systems • Fault detection, fault analysis and diagnostics • Fusion of Neural Networks and Fuzzy Systems • Green and Renewable Energy Systems • Human Interface, Human-Computer Interaction, Human Information Processing • Hybrid and Distributed Algorithms • High Performance Computing • Information storage, security, integrity, privacy and trust • Image and Speech Signal Processing • Knowledge Based Systems, Knowledge Networks • Knowledge discovery and ontology engineering • Machine Learning, Reinforcement Learning • Memetic Computing • Multimedia and Applications • Networked Control Systems • Neural Networks and Applications • Natural Language Processing • Optimization and Decision Making • Pattern Classification, Recognition, speech recognition and synthesis • Robotic Intelligence • Rough sets and granular computing • Robustness Analysis • Self-Organizing Systems • Social Intelligence • Soft computing in P2P, Grid, Cloud and Internet Computing Technologies • Stochastic systems • Support Vector Machines • Ubiquitous, grid and high performance computing • Virtual Reality in Engineering Applications • Web and mobile Intelligence, and Big Data
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 7 Documents
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Search results for , issue "Vol 4 No 1 (2022): September" : 7 Documents clear
ERP SYSTEM BUILDING, AND INTEGRATION WITH INTERNAL MAILING SYSTEM(IMS) ABDULAZIZ, KHALED
IJCONSIST JOURNALS Vol 4 No 1 (2022): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v4i1.62

Abstract

The Enterprise Resource Planning systems have a role in the sustainable development of the organization, the principle of Enterprise Resource Planning systems is useful to improve the performance of the organization. This aper will focus on building Enterprise Resource Planning systems integrated with Internal Mailing System for ALTAMYZ ALRAEDAH company in Saudi Arabia to escalate the work performance and decision making. Afterwards, the researcher conducted a simple interview to the top manager to see the effectiveness of the system. (ERP) solutions are used to manage an organization's activities (accounting, procurement, compliance, production, project management and other distribution chain operations). Implementing Enterprise Resource Planning systems can have a variety of effects depending on the organization. The main purpose of the system being built is to alter the manual company data storage into ERP system integrated with IMS system. The research method used is a Qualitative research based on the interviews with top managers and employees. The result showed that the top managers of the company agreed that ERP system improves their working performance, while the IMS enables a better means of communication for a faster decision making.
CLUSTER ANALYSIS OF FACEBOOK ADS USER FOR DIGITAL MARKETING USING K-MEANS ALGORITHM firdaus, aldan; Fahreza, Rafli; Arfiansyah, Rhifky; Satria, Dhian
IJCONSIST JOURNALS Vol 4 No 1 (2022): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v4i1.72

Abstract

Facebook provides a digital advertising feature called Facebook Ads. Facebook Ads was developed in 2013 and started operating in 2014, but the advertising system at that time was only limited to advertisers. Facebook at that time had not opened up to mobile application developers or website publishers. Until finally Facebook Ads can be used or accessed by anyone. Facebook Ads are very popular with business people, complete features and clear information make it easier for business people to market their products. From the Facebook Ads process, Facebook user data can be retrieved starting from the number of ads that appear, the ads clicked, age range, and gender, to the amount of money spent on these advertising products/services. In this study, Facebook Ads data clustering was carried out to be analyzed. The final visualization results describe the level of clustering according to the attributes used in the study.
ANALYSIS OF FACEBOOK USER PROFILING USING CLUSTERING IMPLEMENTATION Fauzan Atha; Noer Alam Yahya; Dhian Satria Yudha Kartika
IJCONSIST JOURNALS Vol 4 No 1 (2022): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v4i1.73

Abstract

In this era that is increasingly developing, it is possible that nearly some human beings use social media as a means of verbal exchange between users. It is not only a means of communique but using social media is used to show their own daily activities or habits. Social media is a media that functions as a medium for socializing from individual to individual based online using digital technology. Where the communication process is done via the internet. Of the several media used for socializing, Facebook is a very popular application. In the use of Facebook which can be accessed from all devices with the internet being the main role, there is a like feature provided by Facebook as a feature for socializing, of course there will be a comparison between the preferred data from some of these devices and from these data we can wonder why people chose mobile over computer or pc to access facebook. To calculate and analyze the existing data, we compared the data by conducting research and looking for Data Mining with the Clustering method using the K-Means Clustering algorithm.
APPLICATION CLUSTER ANALYSIS ON THE GOOGLE PLAY STORE USING THE K-MEANS METHOD Hastri Cantya Danahiswari; Yovan Febriawan Nurpratama; Dhian Satria Yudha Kartika
IJCONSIST JOURNALS Vol 4 No 1 (2022): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v4i1.74

Abstract

Implementation of data mining can be used to identify information that will be useful for several parties. There are various methods in data mining, one of the methods used in clusters is the K-Means algorithm. These clusters can be used for android developers in identifying what applications need to be improved and developed to make it better for android users. The results showed that there were two clusters that had different averages. The first cluster is defined as an application that is less attractive to users due to several factors, while for the second cluster it is defined as an application that the user is interested in, caused by the application offering the features that the user needs, is informative, does not require costs and can function properly.
COMPARISON OF SUPPORT VECTOR MACHINE RADIAL BASE AND LINEAR KERNEL FUNCTIONS FOR MOBILE BANKING CUSTOMER SATISFACTION ANALYSIS Putri Taqwa Prasetyaningrum; Nurul Tiara Kadir; Albert Yakobus Chandra; Irfan Pratama
IJCONSIST JOURNALS Vol 4 No 1 (2022): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v4i1.75

Abstract

Banking services using mobile banking applications, including Indonesian state bank (called BRI). A study on feedback regarding BRI services based on mobile applications was done. In order to compete with other banks, that is used to enhance and modernize the quality of BRI services provided to clients. Based on phenomena that occur in these situations. This study aims to classify comments from users of the BRI Mobile Banking Application on Google Play services into positive and negative comment sentiments. In this study, the Support Vector Machine (SVM) technique is utilized to determine between positive or negative reviews. The sentiment analysis of BRI google play data was carried out by comparing the Radial Basis Function (RBF) kernel function and the Linear kernel. As well as the experiment of adding feature selection, parameters, and n-grams for a period of two years, from January 1st,, 2017 to December 31st, 2018. The results of the study using the k-fold cross-validation test, the precision value of the SVM kernel linear is 90.80 percent and the SVM kernel RBF is 90.15 percent. In the RBF kernel, there are 1,816 positive classes and 1,455 negative classes. While the Linear kernel obtained a positive class of 1,734 and a negative class of 1,637.
CLUSTERING VALUE OF SMAN 1 SUMENEP STUDENT REPORTS USING K-MEANS METHOD Mariska Regina; Fanni Silvana
IJCONSIST JOURNALS Vol 4 No 1 (2022): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v4i1.76

Abstract

Education is the basis for the formation of human character. There are two types of education in schools, namely formal education and extracurricular education. Extracurricular activities are additional activities that are usually carried out outside school hours. The existence of this extracurricular activity helps students to develop their talents and potential. This research was conducted at SMA Negeri 1 Sumenep which facilitates 23 extracurricular activities for its students. Based on these activities, there are 72 students as a dataset. This study determines the grouping of extracurricular selection using the K-Means Clustering method. This method is expected to provide an understanding of the grouping of students according to their interests and potential based on the extracurricular options they choose. The results obtained are 3 clusters, namely the category of bad, good and very good with a value of 76.12 each. 85.25 and 79.43. Based on the three clusters formed with centroid points C0 (3.8, 77.9), C1 (1.4, 87.4), and C2 (1.8, 82.4).
P-EYE THE ANDROID APPLICATION TO TRACK STUDENTS ACADEMIC PERFORMANCE BAWAZIR, MOHAMMED
IJCONSIST JOURNALS Vol 4 No 1 (2022): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v4i1.77

Abstract

This paper describes the design and implementation of a software application, the application been designed for smart mobile devices with an android operating system, the app is created to be considered as a tool for parents to help them on tracking their children’s performance in elementary school. The implemented application entitled parents to know the most important details about their children’s academic status, by providing for them a set of features in the app they can use, and also to be connected with the school’s administration.

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