Assessment for good university governance in higher education focus on align strategy business with it at big data era

Lieharyani, Djoko Cahyo Utomo; Ginardi, Raden Venantius Hari; Ambarwati, Rita; Multazam, Mochammad Tanzil

doi:10.1088/1742-6596/1175/1/012204

Cited by 7 publications

(6 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It first stores the data set in a compact compression format, adopts the balanced tree structure, comprehensively considers the problems of system memory, time overhead, and clustering quality, has a high processing speed for large-scale data sets, and meets the scalability of data, so it is applied to many different fields [8]. Lieharyani and others believe that the BIRCH algorithm is thought to combine hierarchical and repetitive displacement methods, first using a bottom-up stepwise algorithm and then using repetitive displacement to improve results [9]. Jones and others believe that the birch algorithm integrates hierarchical aggregation and iterative relocation methods.…”

Section: Literature Reviewmentioning

confidence: 99%

DBSCAN Clustering Algorithm Based on Big Data Is Applied in Network Information Security Detection

Zhang

2022

Security and Communication Networks

View full text Add to dashboard Cite

In order to improve the certainty and clarity of information security detection, an application method of big data clustering algorithm in information security detection is proposed. The experimental results show that when the amount of data is close to 6000, the efficiency of the improved algorithm is nearly 70% higher than that of DBSCAN, and it is still very close to the efficiency of the BIRCH algorithm. The algorithm has a high processing speed for large-scale data sets without increasing the time complexity and can also accurately cluster clusters of any shape. When the data set increases from 9000 rows to 58000 rows, in turn, the time-consuming of the traditional DBSCAN algorithm increases sharply, while the time-consuming of the improved DBSCAN algorithm is still stable, and the time-consuming gap between the two is getting bigger and bigger. At the same time, the algorithm adopts a heuristic adaptive algorithm to estimate some threshold parameters of the clustering algorithm, which can avoid the direct setting of the threshold parameters by the user and can effectively estimate the relevant threshold parameters, extract clusters of any shape, and the clustering effect is obvious.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

DBSCAN Clustering Algorithm Based on Big Data Is Applied in Network Information Security Detection

Zhang

2022

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…Indonesian online education cannot escape from problems such as, firstly, the lack of stakeholder and management support in implementing online learning. This obstacle usually exists in institutions that are not yet fully aware of the potential and opportunities for the use of online learning to support the learning process nowadays (El Ouirdi et al, 2016;Lieharyani et al, 2019). Secondly, the infrastructure…”

mentioning

confidence: 99%

The Role of Facilitating Conditions and User Habits: A Case of Indonesian Online Learning Platform

Harja¹,

Ambarwati²

2020

JAFEB

Self Cite

View full text Add to dashboard Cite

The study examines the role of facilitating conditions and user habits in the use of technology in Online Learning Platform (OLP) in Indonesia. The adoption of online learning, persistence, and learning results in online platforms is essential for ensuring that education technology is implemented and gets as much value as possible. People who use technology and systems will embrace new technologies even more. This quantitative study is based on a survey of 254 respondents, who were active users of the technology, and considers the facilitating conditions and user habits variables. Two research hypotheses were tested using the Partial Least Square-Structural Equation Modeling method. Cronbach's Alpha, path coefficient, AVE, R-square, T-test were applied. The results showed that the factors significantly influence the Online Learning Platform technology behavioral intention. This impact is primarily associated with the availability of the resources required to use OLP technology. The availability of these resources includes supporting infrastructures such as widespread Internet access, easy access to mobile devices, and file sizes that affect access speed. The findings of this study suggest that it is necessary to introduce and increase the availability of resources for using OLP technology, and familiarize people with the technology features.

show abstract

“…Analysis with the help of big data can contribute markedly to performance [13]. Journal of Physics: Conference Series COBIT 5 as a one of big data results generates assessment for making policy in academic settings [14].…”

Section: Ieee Global Engineering Education Conference (Educon)mentioning

confidence: 99%

Preliminary Study of the Integration of Big Data to Answer the Challenges of Islamic Education in the Technological Age

Wandansari¹

2022

IJID

View full text Add to dashboard Cite

Along with the rapid development of technology, individuals today are required to align every aspect of their lives with the technological developments of the industrial revolution 4.0, consisting of artificial intelligence, the internet of things, and big data presented in society. Notably, it was related to education, including Islamic education, which frequently stereotyped about delays in responding to globalization's challenges. This preliminary study aims to encourage empirical research that is still lacking by exploring the role of big data in Islamic education and combining data from general education that has similar core. The study focused on using the scoping review method as a part of a literature review. As a result of this study, there are four impacted factors for strengthening the usage of big data: the performance and behavior factors of learning; the storage of education data; the update in the education system; and the use of big data in the education curriculum. Future studies should begin empirical research to elaborate more on these four impacted factors practically.

show abstract

Assessment for good university governance in higher education focus on align strategy business with it at big data era

Cited by 7 publications

References 9 publications

DBSCAN Clustering Algorithm Based on Big Data Is Applied in Network Information Security Detection

DBSCAN Clustering Algorithm Based on Big Data Is Applied in Network Information Security Detection

The Role of Facilitating Conditions and User Habits: A Case of Indonesian Online Learning Platform

Preliminary Study of the Integration of Big Data to Answer the Challenges of Islamic Education in the Technological Age

Contact Info

Product

Resources

About