cover
Contact Name
Taqwa Hariguna
Contact Email
taqwa@amikompurwokerto.ac.id
Phone
+62895422720524
Journal Mail Official
contact@ijiis.org
Editorial Address
Puri Mersi Baru, Jl.Martadireja II, Gang Sitihingil 3 Blok A No 2, Purwokerto Timur, Jawa Tengah
Location
Kota adm. jakarta pusat,
Dki jakarta
INDONESIA
IJIIS: International Journal of Informatics and Information Systems
Published by Bright Publisher
ISSN : -     EISSN : 25797069     DOI : https://doi.org/10.47738/ijiis
Core Subject : Science,
The IJIIS is an international journal that aims to encourage comprehensive, multi-specialty informatics and information systems. The Journal publishes original research articles and review articles. It is an open access journal, with free access for each visitor (ijiis.org/index.php/IJIIS/); meanwhile we have set up a robust online platform and use an online submission system to ensure the international visibility and the rigid peer review process. The journal staff is committed to a quick turnaround time both in regards to peer-review and time to publication.
Articles 162 Documents
Comparison of Security Signing Data Authentication Integrity in Combination of Digest And AES Message Algorithm Rasna Rasna; Irjii Matdoan; Sitti Alam
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.v4i1.72

Abstract

Online information systems with the Single Sign-On (SSO) model are currently widely used by many companies. Single Sign-On (SSO) is an independent authentication model. This system runs on the Hypertext Transfer Protocol (HTTP) protocol. Sending data or information without security is at risk of eavesdropping on information by the authorities. This study aims to compare the combination of Message-Digest and Advanced Encryption Standard (AES) algorithms to improve data security by modifying dynamic keys. The test results show that in each execution the user name and password with the MD5 algorithm are always the same while in the AES algorithm the results are always different so it is safe from replay attacks. So that the Advanced Encryption Standard (AES) algorithm can secure data through the Single-Sign-On authentication process with high-security accuracy.
Boosting Purchase Intention and Online Participation Through Passion Herrando, Carolina; Jiménez-Martínez, Julio; De Hoyos, María José Martín
International Journal of Informatics and Information Systems Vol 3, No 3: December 2020
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v3i3.99

Abstract

This study analyzes the role of passion in engaging users and how it affects purchase intention and participation in social commerce contexts. Based on marketing research, the engagement generation process is studied through the interactions among social presence,interactivity, enjoyment, sPassion, purchase intention and spread of sWOM. The results have empirically confirmed that social interactions and information exchange derived from the process boost user participation and the intention to purchase. At the core of the process, sPassion positively affects the spreading of sWOM. The introduction of the new concept sPassion brings new challenges and opportunities to marketing research, helping to develop the concept of engagement and furthering research on WOM valence. Knowing how sPassion is formed and what factors are key to its creation enable companies to understand the necessary steps to enhance user participation in social commerce contexts.
The Influence of the privacy concern and social advertising type on the attitude and behavior Wang, Chih-Chien; Yang, Yolande Yunhsiou; Lin, Ming-Ru
International Journal of Informatics and Information Systems Vol 2, No 2: September 2019
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v2i2.89

Abstract

Nowadays social media can collect consumers' online behavior. The enterprises make the customized advertisement to achieve targeting marketing and close consumers' needs. With the right of privacy, the consumers pay attention to this kind of advertisement. In this study, we made the online questionnaire. Asking the privacy concern, and analyzing the advertising attitude and behavior in a different advertising situation. The result we found that customized advertising made consumers increase positive attitude, but made negative attitude on advertising behavior like click, share, etc. In addition, both male and female have different responses to customized advertisements and intimate products advertisements. The result can serve a reference for manufacturers to make advertising strategies in the future.
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.
Implementation of Intelligent Green Energy Management System Yang, Chao-Tung; Yan, Yin-Zhen; Shen, Yu-Chuan; Wang, Yun-Ting; Huang, Chao-Wei; Chen, Shuo-Tsung
International Journal of Informatics and Information Systems Vol 1, No 2: December 2018
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v1i2.102

Abstract

In this work, we mainly apply the cloud infrastructure (IaaS) and virtualization technology to provide the construction services of a green energy management system. First of all, we used MySQL Cluster database technology to build a data storage system which can solve the challenge of large demand. Digital electricity meter data and environmental information are collected efficiently and quickly in the proposed green energy management system. Next, a virtualized user-interface is provided by graphical presentation to facilitate data analysis. Finally, we control the electricity equipment to reduce Power Usage Effectiveness (PUE) and the overall power consumption target-based on this virtualized user-interface of the data analysis.
Effect of Textual Errors on The Evaluation of a Foreign Online Store Lesma, Vanessa Bracamonte; Okada, Hitoshi
International Journal of Informatics and Information Systems Vol 3, No 3: December 2020
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v3i1.95

Abstract

We conducted an experimental study among Japanese consumers to investigate the impact of textual errors on the perception and evaluation of an online store in a cross-border context. In particular, we proposed that the presence of textual errors would result in lower perceived ease of use, ease of communication and trust in a foreign online store. The experiment considered two types of errors, related to the use of language and to the completeness of translation. Four experimental conditions with different levels of textual errors were evaluated. We conducted a survey in Japan, obtaining a total of 1919 responses which were analyzed using structural equation modeling. The results showed that the presence of textual errors had a negative effect on all factors in the proposed model, compared to the absence of such errors. We discuss these results and their implications for foreign online vendors.
Cross-Cultural Comparisons of Review Aspect Importance Nakayama, Makoto; Kanayama, Hiroshi; Nasukawa, Tetsuya
International Journal of Informatics and Information Systems Vol 1, No 1: September 2018
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v1i1.85

Abstract

Previous text mining studies identified key common aspects in online restaurant reviews. However, it is not clear how important these aspects are for consumers. In this exploratory study, we used Yelp restaurant reviews on an ethnic food item, ramen noodles, and assessed the importance of each aspect to both U.S. and Japanese consumers. The results show that food and atmosphere are far more important than the other common aspects in both the U.S. and Japan. However, we found noticeable differences between consumers in the two countries regarding how the food aspect plays a role on star ratings. Both implications and a future research agenda are discussed.
A Comparison of Digital Reading Behaviors Among Graduate Students in Taiwan and The USA Lin, Suyu; Chen, Chia-Hsiang; Ke, Hao-Ren
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.v4i2.110

Abstract

This is a comparative study on digital reading behaviors between students in Graduate Institute of Library and Information Studies (GLIS) in National Taiwan Normal University and School of Information Studies (SOIS) in University of Wisconsin-Milwaukee. By making a connection between their habits and various forms of capital that may shape their reading behaviors, this study adopts a qualitative approach to focus on the four key concepts of Bourdieu’s practice theory: habitus, economic capital, cultural capital, and social capital to analyze the factors that influence digital-reading behaviors. The results indicate that the graduate students' digital reading behavior is influenced mostly by their family, school and library. Graduate students like to use electronic resources (online database and the Internet) to conduct academic research and still prefer print textbooks. When comes to digital reading, in GLIS, students with more than two digital reading devices tend to get free digital contents from various sources. However, in SOIS, students with more than one digital reading service tend to purchase digital contents from the Internet. Graduate students’ reading behaviours might be influenced by their economic capital.
Implementation of the Convolutional Neural Network Method to Detect the Use of Masks Arbiati Faizah; Pujo Hari Saputro; Augusta Jannatul Firdaus; Raden Nur Rachman Dzakiyullah
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.v4i1.75

Abstract

The planet has been taken seriously by Coronavirus disease since the end of 2019. Wearing a mask in public is one of the key means of security for people. Furthermore, certain public service vendors only require clients to use the service if they wear masks correctly. However, based on image processing, there is relatively little study into the discovery of face masks. Almost everybody appears to wear a mask in order to shield themselves from the COVID-19 Pandemic. Monitoring whether people in the crowd wear face masks at the most public place, such as malls, museums, parks, has become increasingly important. The development of an AI approach to deal with if the person wears a face mask and their entrance would significantly assist society. In this article, we will use a deep learning model that is then combined with Keras / TensorFlow & OpenCV, respectively CNN or Confusional Neural Network. The accuracy of the research results obtained from this model is more than 96%.
Exploring The Influences on Cyber Education in a Bilingual Higher Institution Wong, Simon
International Journal of Informatics and Information Systems Vol 1, No 2: December 2018
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v1i2.100

Abstract

This paper presents the research study which explores the variables influencing the learning effectiveness of the students taking an online introductory information technology course in cyber education in a bilingual higher education institution in Hong Kong. These variables are: (1) student's English proficiency, (2) instructor's guidance in an online discussion forum and (3) peer students' collaboration in an online discussion forum. Correlation analysis was adopted to identify whether any of these variables could be potential factors on the students 'learning performance while multiple regression analysis was performed to explore the combined effect of these variables on the students' learning performance. Validity and reliability of this research study are highlighted in this paper. Finally, the research findings are discussed.

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