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Taqwa Hariguna
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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,
Computer Science & IT
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.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 6 Documents
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Search results for , issue "Vol 4, No 3: December 2021" : 6 Documents clear
Investigate the Influence and Moderators of the Embarrassment on the Continual Usage and Knowledge Sharing Intention in Virtual Communities Lin, Sheng-Cheng
International Journal of Informatics and Information Systems Vol 4, No 3: December 2021
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v4i3.115

Abstract

Embarrassment has been an important research issue in the domain of management. Previous studies indicated when embarrassment occurred between sales and customers, it could reduce the customers' intention to visit the store again. Virtual communities are also places for interaction between members; therefore, embarrassment could occurred as well. Goffman’s dramaturgic theory can be perfectly applied to the settings of virtual communities. They both address the interaction facet between people. Dramaturgic theory can also elaborate the occurrence of embarrassment. Thus, this study aims to resolve the possible reasons inducing embarrassment by dramaturgic perspective, and investigate the influence and moderators of embarrassment on members' continual usage and knowledge sharing intention towards virtual communities. In addition, two sets of interference variables were derived based on virtual community characteristics, and their influence on the above-mentioned correlations was analyzed. The research results can be a good reference for virtual community operators and managers to help them understand those causes of embarrassment that have a negative impact on those community members’ intentions, and to reflect on how they can reduce those causal factors by tweaking the design of community platforms.
Online Group Purchasing Environment, the Effects of Price Discounts and Crowd Psychology on Purchasing Behavior Huda, Muhammad Qomarul; Subiyakto, A’ang; Rahman, Aedah Abd
International Journal of Informatics and Information Systems Vol 4, No 3: December 2021
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v4i3.116

Abstract

The goal of this study is to determine the influence of impulsive purchase behavior on mobile marketing, discounts, and consumer lifestyle. The approach used is a combination of quantitative research and an explanation survey. The population for this study is comprised of active internet users who have completed marketplace transactions. The dataset was sampled in a non-probabilistic manner (convenience sampling) and included data from 100 respondents. The results suggested that mobile marketing and promotions had no obvious influence on impulsive purchases made by marketplace customers. Meanwhile, lifestyle has a good influence on the impulsive purchase behavior of marketplace consumers by 35.1 percent. Mobile marketing, incentives, and lifestyle all have a combined influence on the marketplace of 20.9 percent on impulse purchases. While the remaining 79.1 percent is impacted by elements that have not been investigated. This research was conducted using earlier studies as a baseline against which to establish the hypothesis for each variable. The study's design was quantitative, with an emphasis on explanatory research. Convenience sampling was used in this study. This study was successful in determining the effects and interactions associated with impulse purchasing. Discounts, lifestyle, and mobile marketing are integrated and analyzed to see which aspects have the biggest influence.
Understanding the Formation of Software as a Service (Saas) Commitment the Relational Value Creation Perspective Hsu, Chia-Shiang; Chou, Shih-Wei
International Journal of Informatics and Information Systems Vol 4, No 3: December 2021
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v4i3.117

Abstract

This study focuses on the use of an important IT innovation--software-as-a-service (SaaS), and draw on sensemaking and the dedication-constraint framework to explain the formation of SaaS commitment. Building on and extending prior studies, we posit that managers’ perceived relational value from SaaS consumption transforms their initial sensemaking of SaaS features into commitment. SaaS features are characterized as strength frames and weakness frames. Perceived relational values are conceptualized as process flexibility, task-knowledge coordination, process specificity, and trust. The proposed model and hypotheses are largely supported by the empirical data from 169 SaaS client firms. We discuss theoretical and practical implications.
Implementation of Data Synchronization Mechanism in Virtual Desktop Infrastructure Yang, Chiao-Tung; Li, Jheng-Yue; Chen, Cai-Jin; Chiang, Chun-I
International Journal of Informatics and Information Systems Vol 4, No 3: December 2021
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v4i3.113

Abstract

There are more and more applications and services of Cloud technology. Whether the government, enterprises or organizations, even everyone may have requirements of constructing cloud systems. To build the virtual cloud infrastructure VMware vSphere which is the leader of the information industry on virtual platforms can let users use Virtual Desktop Infrastructure by their mobile device. This study integrated some management programs such as Activity Directory, VMware vCenter, View connection server, VMware vSphere and used the shared storage system of FreeNAS to provide the cloud virtual environment to users. With the simple interface to manage, it successfully provides administrators to build Virtual Desktop Infrastructure faster. Users can use their own device to control the virtual desktop in a mobile classroom by VMware Horizon View or browser. Users can also use a shared storage system to be the information exchange platform. If you can connect to the Internet, you can use your own virtual desktop anywhere. Finally, the complete construction implements the combination of several operating systems and improves their performance to save lots of hardware cost. It also meets the social focus of carbon reduction and environment protection to achieve sustainable use.
The Impact of Servicescape Perception on Perceived E-Commerce Value and Client Loyalty Saputra, Jeffri Prayitno Bangkit
International Journal of Informatics and Information Systems Vol 4, No 3: December 2021
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v4i3.118

Abstract

While previous research on e-servicescapes has focused on the ordinary Internet user, several studies show that heavy Internet users are the target audience. To maximize firm profitability, it is vital to understand the nature of heavy user consumption; hence, this study examines the primary components of e-servicescapes and their relationship to buy intent using moderated data from heavy and light Internet users. Three hundred and forty-two genuine internet users with online purchasing experience answered an online questionnaire, and discrepancies were determined using structural equation modeling. For ordinary users, aesthetic appeal and interaction are significant factors in purchase intention; for heavy users, interactivity is the most important attribute, followed by aesthetic appeal, layout, and functionality; and for light users, aesthetic appeal is the sole consideration. Additionally, our data show that financial stability does not help heavy, regular, or light users. We demonstrate how heavy and light Internet users evaluate e-servicescapes to signal quality attributes and contribute to their cognitive responses and purchase intentions based on their consumption traits by integrating purchase intentions with e-service quality and segmentation theory in e-servicescapes. It is advised that online merchants identify heavy and light users, rethink their current e-servicescapes, and apply more tailored marketing methods to attract and retain heavy and light users, as well as increase their purchase intent. While this study concentrated on the most salient characteristics of heavy users, more research is required to explicate additional critical mediators. This poll makes no mention of the three kinds of websites or product qualities. Finally, demographic and psychological variables such as gender and personal characteristics may act as significant mediators in the link between the e-servicescape and purchase intention, but their relevance requires more research.
Data Mining Technology Used in an Internet of Things-Based Decision Support System for Information Processing Intelligent Manufacturing Sulhi, Ahmad
International Journal of Informatics and Information Systems Vol 4, No 3: December 2021
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v4i3.114

Abstract

In recent years, database technology has improved significantly, and database management systems have gained widespread adoption. As a result, the volume of data saved across numerous databases has increased exponentially. However, the vast majority of information is hidden beneath this mountain of data. The goal of this study is to get a comprehensive understanding of the decision information system employed in the Internet of Things for intelligent manufacturing data processing. The proposed Decision support system (DSS) information processing is accomplished through the use of an IoT-based intelligent manufacturing data mining model. Numerous DM algorithms that are frequently encountered are analyzed, including the ARS and Apriori Algorithm (AA). The Decision Tree data mining algorithm is investigated, as is the generation of several Decision Trees and the pruning algorithm for digital twins. The findings demonstrate that data mining technology is capable of analyzing statistical data from a variety of angles and perspectives by modeling, classifying, and grouping large amounts of data as well as discovering correlations between them. Additionally, statistical work involves the calculation of data and the use of their correlations to aid in decision analysis. The proposed theoretical framework demonstrates how DSS-integrated components can work cooperatively in Intelligent Manufacturing to define a stable data flow within the Internet of Things. Particular emphasis is placed on conceptualizing the decision support system's integrated performance.

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