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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 147 Documents
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Analysis of Sequential Book Loan Data Pattern Using Generalized Sequential Pattern (GSP) Algorithm Tri Astuti; Lisdya Anggraini
International Journal of Informatics and Information Systems Vol 2, No 1: March 2019
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v2i1.10

Abstract

As a center for learning and information services, STMIK Amikom Purwokerto Library is a source of learning and a source of intellectual activity that is very important for the entire academic community in supporting the achievement of the college Tridharma program. Book lending transaction data, can produce information that is important as supporting decision making when further analyzed. One useful information is that it can provide information in the form of user behavior patterns in borrowing books that are used to maintain the availability of related book stocks to be balanced. This study uses the Generalized Sequential Pattern (GSP) algorithm, which can be used to determine the behavior patterns of users in each transaction and can show relationships or associations between books, both requested simultaneously and sequentially. From the calculations that have been done, 295 frequent sequences are consisting of 3 sequence patterns that are formed from the minimum support of 0.53% or the minimum number of books borrowed, namely 2 books. Three book items have very strong linkages in book lending transactions, namely book code 6690, 2026, and 8131.
The Impact of Strategic Leadership on Competitive Advantage: The Mediating Role of Ambidexterity and Information System: Evidence from Islamic Banks in Jordan Amena Sibghatullah; Muhammad Raza
International Journal of Informatics and Information Systems Vol 3, No 2: September 2020
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v3i2.67

Abstract

The purpose linked with the existing study is to examine the impact of strategic leadership on the competitive advantage of the Islamic banks in Jordan. The mediating analysis of organizational ambidexterity and information system among the links of strategic leadership on the competitive advantage of the Islamic banks in Jordan also included in the aim of the ongoing study. This study has executed the quantitative techniques of data collection through which data has been gathered from the employees of the Islamic banks by using questionnaires. The analysis part of the existing study has been accomplished by using the AMOS. The results indicated that the positive nexus has been found among the links of strategic leadership and competitive advantage while the findings also exposed that the ambidexterity positive mediates among the links of strategic leadership and competitive advantage of the Islamic banks in Jordan. These findings provided the guidelines to the regulators while formulating regulation for competitive advantage along with leadership and also helpful for the future studies who aim to investigate this area in the future.
Product Review Sentiment Analysis by Artificial Neural Network Algorithm Astuti, Tri; Pratika, Irnawati
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.v2i2.15

Abstract

Buying and selling and marketing goods and services are now done online. The online store provides facilities that enable its customers to provide review related products offered. The number of reviews received by the store, online sometimes does not allow the store online to analyze one by one. Thus, it takes the help of machines to assist in the analysis of such sentiments. Analysis of the sentiments of the review the product is done to help the shop get a general overview related to the level of consumer satisfaction. In this study, the ANN algorithm will be used to analyze sentiment for review. A product ANN algorithm used because it can provide high accuracy performance. This research resulted in a reasonably high accuracy performance is 88.2%.
System of Information Feedback on Archive Using Term Frequency-Inverse Document Frequency and Vector Space Model Methods Didit Suhartono; Khodirun Khodirun
International Journal of Informatics and Information Systems Vol 3, No 1: March 2020
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v3i1.6

Abstract

The archive is one of the examples of documents that important. Archives are stored systematically with a view to helping and simplifying the storage and retrieval of the archive. In the information retrieval (Information retrieval) the process of retrieving relevant documents and not retrieving documents that are not relevant. To retrieve the relevant documents, a method is needed. Using the Term Frequency-Inverse Document and Vector Space Model methods can find relevant documents according to the level of closeness or similarity, in addition to applying the Nazief-Adriani stemming algorithm can improve information retrieval performance by transforming words in a document or text to the basic word form. then the system indexes the document to simplify and speed up the search process. Relevance is determined by calculating the similarity values between existing documents by querying and represented in certain forms. The documents obtained, then the system sort by the level of relevance to the query.
Effect of Selection of Classification Features C4.5 Algorithm in Student Alcohol Consumption Dataset Astuti, Tri; Handoko, Pungky Dwi Putra
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.v1i1.20

Abstract

Alcoholic beverages are psychoactive substances that are addictive. Psychoactive substances are a class of substances that work selectively, especially in the brain, which can cause changes in behavior, emotion, cognition, perception and awareness of one's and others. Police survey results in 2014 showed that users of narcotics and liquor. Most of the group of students, both junior, and senior student, which amounts to 70%, while only 20% of primary school graduates. In the modern era, especially in information technology, the need for information and the latest knowledge is multiplying. One of them is the user information of alcohol among teenagers is more accurate. Data mining is the process for extracting and identifying information useful and relevant knowledge from a variety of big data. In the data mining, there is a classification technique that assesses the data objects to include it in a particular class of several classes available, can be applied in the case - the case in the health sector, for example, in the case of alcohol addiction in adolescents. The algorithm that can be used in the classification is the C4.5 decision tree. The use of the decision tree algorithm to determine the level of alcohol use in teenagers using two methods, namely, the selection of attributes and without attributes.
Cyber Democracy Versus Controlling Shareholders: The Implications of E-Voting System for Corporate Governance Kuo-Pin Yang
International Journal of Informatics and Information Systems Vol 2, No 3: December 2019
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v2i3.97

Abstract

Based on the ideology of cyber democracy, Taiwan government has just begun to require the publicly-listed companies to implement the practice of e-voting system in stockholder meetings since 2012. One of the objectives of this mandate is to promote stockholder's activism to rectify the phenomenon of excess control associated with controlling shareholders, who dominate the boards of directors but own disproportionate ownership, to comply with the principle of one-share-one-vote. Though with good intention, the effectiveness of the e-voting system remains a question, given that it has been implemented only for a short period of time. In addition, the function of some auxiliary practices to supplement e-voting system such as director nomination also needs to be tested. This study proposes three hypotheses regarding the relationships among e-voting, board nomination, excess control, and firm performance. Using the data of 829 Taiwanese publicly-listed companies across the time period between 2012 and 2014, this study finds that the separate adoption of e-voting and board nomination increases the level of excess control and is, thus, detrimental to firm performance. On the other hand, the simultaneous adoption of the two practices can significantly decrease the level of excess control of controlling shareholders, which, in turn, contributes to firm performance. The findings bring important implications to corporate governance and policy formulation of the administration.
Effects of Player's Participation Patterns on Economic Performance of Entertainment Shopping Website Jin Li; Kwok Fai Tso
International Journal of Informatics and Information Systems Vol 2, No 3: December 2019
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v2i1.87

Abstract

Online pay-per-bid auction is a new entertainment shoppingformat with a mechanism that integrates the characteristics of traditional e-commerce, online auctions, lotteries and games. Previous researches have shown this auction format possesses high variances and uncertainties. However, research on the players' participation patterns and performance is rare. In this study, we attempt to study how players' participation patterns can affect both their own and websites' performance. An empirical study with data collected from an online pay-per-development website with 5,650players' participation behavior is performed. Particularly, the role of players preference is also explored through a cluster analysis of their historical participations. Multiple linear regression models and regression models with beta distributions are used for hypothesis testing. Findings confirm that players participation performance and websites revenue strongly associated with the players participation patterns. The results show that (1) players with longer lifetime perform better and contribute more revenue to the website; (2) players participating in more auctions show worse performance and websites obtain more revenue from them; and (3) players with a strong preference behave more irrationally and website benefits more from them. Both theoretical and managerial implications are discussed.
implementing the Expected Goal (xG) model to predict scores in soccer matches Izzatul Umami; Deden Hardan Gautama; Heliza Rahmania Hatta
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.v4i1.76

Abstract

Football is a sport that has the most fans in the world. What makes sebak patterns so popular are their uncertain and unpredictable results. There are many factors that affect the outcome of a football match, including strategy, skill, and even luck. Therefore, guessing the results of a soccer match is an interesting problem. All shots are grouped into sections on the playing field and theoretical goal scores are applied to each area. The factors analyzed are: distance of shot from goal and angle of shot in relation to goal. When calculating xG, it is recommended that the distance and angle of the shot are important. The combination of the two xG factors is better calculated than each variable only. In addition, this xG check has been able to relatively accurately identify the mid-table teams that score and concede goals.
Pre-Trusted Peers Probability Influence on Eigen Trust and Reputation Model Over Peer to Peer Distributed Networks Verma, Vinod Kumar; Singh, Surinder
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.v1i2.103

Abstract

This paper investigates the impact of peer pre-trusted probability on the performance of Eigen's trust and reputation model in distributed wireless networks. Design and develop models for rigorous Eigen Trust assessment and reputation models. In addition, we evaluate our model from performance-based factors namely: accuracy, resource utilization and energy consumption. Finally, the results obtained from our investigation are suggestive of implementation for real-time distributed wireless applications. our proposal.
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 : International Journal of Informatics and Information Systems

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.

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