Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : IJIIS: International Journal of Informatics and Information Systems

Social Network Analysis for User Interaction Analysis on Social Media Regarding E-Commerce Business Nugroho Agung Prabowo; Bambang Pujiarto; Firmantya Safri Wijaya; Lutfiana Gita; Denny Alfandy
International Journal of Informatics and Information Systems Vol 4, No 2: September 2021
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v4i2.106

Abstract

Abstract: E-commerce business requires promotion in introducing its products. One of the media that can be used is social media. There is a lot of information provided on social media, one of which is User Generated Content (UGC). UGC is a user's track record on social media that can be seen by other users. Social media analysis is needed to see the pattern of interaction between the company and its customers from UGC which is widely spread on social media. This can be used as an insight for companies in helping product marketing on social media. The method used in analyzing the interaction pattern of UGC in social media is Social Network Analysis (SNA). Social network modeling can help e-commerce businesses to understand the interaction patterns that occur on social media. The findings in this study show that the social network that is superior is the interaction social network regarding Lazada. Research also shows the key players for each e-commerce.
The Effect of E-Learning as One of the Information Technology-Based Learning Media on Student Learning Motivation Andi Widiyanto; Nugroho Agung Prabowo; Nuryanto Nuryanto; Mochammad Ircham Nashif Amarullah; Arsyad Soni Nuruzzaman
International Journal of Informatics and Information Systems Vol 4, No 2: September 2021
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v4i2.108

Abstract

The teaching and learning process is a process that involves participants and educators. The teaching and learning process will be successful if there is interaction between the two parties. Along with the development of information technology, especially the internet in information systems, the teaching and learning process has utilized information technology both from elementary, secondary and higher education levels. Especially for higher education which requires students to be more independent and active in the learning process, information technology is considered very helpful for students. As one of the information technology-based universities, STIKOM Bali utilizes e-learning to support the learning process. Lecturers and students are required to use and utilize e-learning as a means to share information related to lecture materials, assignments, quizzes, discussion forums and others. One of the goals of implementing e-learning in lectures is to increase student learning motivation so that learning achievement will be better. It is also hoped that students will be more interested in the lecture process. One of the things that affect student learning motivation is learning media. The learning media referred to in this study is e-learning learning media. The long and stable application of e-learning at STIKOM Bali is thought to be one of the drivers of student learning motivation. The research method used in this research is problem definition, data collection, data analysis and conclusion drawing. Based on the results of hypothesis testing with H1 hypothesis regression with a significance value of 0.000 and a t-count of 4.015 proven, so that it is concluded that according to STIKOM Bali students e-learning affects student learning motivation.
With topological data analysis, predicting stock market crashes Nugroho Agung Prabowo; R Arri Widyanto; Mukhtar Hanafi; Bambang Pujiarto; Meidar Hadi Avizenna
International Journal of Informatics and Information Systems Vol 4, No 1: March 2021
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v4i1.78

Abstract

We are investigating the evolution of four big US stock market indexes' regular returns after the 2000 technology crash and the 2007-2009 financial crisis. Our approach is based on topological data processing (TDA). To identify and measure topological phenomena occurring in multidimensional time series, we use persistence homology. We obtain time-dependent point cloud data sets using a sliding window, which we connect a topological space for. Our research indicates that a new method of econometric analysis is offered by TDA, which complements the traditional statistical tests. The tool may be used to predict early warning signs of market declines that are inevitable.