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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 5 Documents
 1 
Search results for , issue "Vol 3, No 3: December 2020" : 5 Documents clear
Framework for UX Based M-Learning Using Learning Style and Recommendation System Nimkoompai, Apichaya; Paireekreng, Worapat
International Journal of Informatics and Information Systems Vol 3, No 3: December 2020
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v3i1.92

Abstract

M-learning plays the key role in the educational industry is increasingly. However, the current use of M-learning is not designed for individual learner style. Consequently, it causes many students not to understand lessons precisely.Not only learning style which determines the course material but also user interface and interaction called user experience (UX). Therefore, m-learning combined learning style and user experience (UX) are also proposed to learners in order to obtain better understanding towards lessons. This study conducts sample group in basic programming subject with pre-test and modeling students' learning style using Felder & Silverman learning style. The results showed that students' have different learning styles. This prototype of User Experience of M-learning (UXML) related to this subject was developed to deliver the appropriate content match to each student's learning style. This courseware serves 4 patterns of derived learning style they are Active, Sensing, Visual andSequential.Hence, the students are able to understand topic easier from recommended course material with mobility features.
A High-Performance Data Accessing and Processing System for Campus Real-time Power Usage Chou, Sheng-Cang; Yang, Chao-Tung
International Journal of Informatics and Information Systems Vol 3, No 3: December 2020
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v3i3.98

Abstract

With the flourishing of Internet of Things (IoT) technology, ubiquitous power data can be linked to the Internet and be analyzed for real-time monitoring requirements. Numerous power data would be accumulated to even Tera-byte level as the time goes. To approach a real-time power monitoring platform on them, an efficient and novel implementation techniques has been developed and formed to be the kernel material of this thesis. Based on the integration of multiple software subsystems in a layered manner, the proposed power-monitoring platform has been established and is composed of Ubuntu (as operating system), Hadoop (as storage subsystem), Hive (as data warehouse), and the Spark MLlib (as data analytics) from bottom to top. The generic power-data source is provided by the so-called smart meters equipped inside factories located in an enterprise practically. The data collection and storage are handled by the Hadoop subsystem and the data ingestion to Hive data warehouse is conducted by the Spark unit. On the aspect of system verification, under single-record query, these software modules: HiveQL and Impala SQL had been tested in terms of query-response efficiency. And for the performance exploration on the full-table query function. The relevant experiments have been conducted on the same software modules as well. The kernel contributions of this research work can be highlighted by two parts: the details of building an efficient real-time power-monitoring platform, and the relevant query-response efficiency for reference.
The Relation Between Hiring Queuers and Emotions - A Pre-Study of Experiment Design Liao, Ruo-Yin; Liang, Chih-Chin
International Journal of Informatics and Information Systems Vol 3, No 3: December 2020
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v3i1.94

Abstract

Consumers considering whether or not to queue make their decisions based on queuing size and the expecting waiting time. If a consumer is frustrated because he / she cannot know how long will wait, he / she will quit from a Consumers who are frustrated because they do not know how long they must wait will quit a queue or ask someone for help if the good is worthy to pay more money to own. If a good is worth waiting to purchase, a consumer will chose waiting or buying the privilege to get the good. However, a long wait causes customers to have negative feelings about the queue. Frustration also has a substantial effect on customer loyalty to a good. Therefore, the relationship between perceived waiting time and paying for queuers to buy the good is worth studying. Frustration is a moderating effect that is also worth studying. In the formal study, to make the frustrating emotion, the authors asked all participants to have a contest before they can take the tickets to enter a queue for taking the ticket to a famous concert in Taiwan. The questions used in the contest had different levels of difficulty. However, the difficulty of the questions must be verified before the formal experiment. Therefore, the 60 participants in this pilot study were asked 40 questions in history, mathematics, and Chinese to find the most difficult ten questions and the less difficulty ten questions for the formal test.
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 : Bright Publisher

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.
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 : Bright Publisher

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.

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