Business Process Reengineering of Digital Learning Ecosystems

Susanto, Heru; Mohiddin, Fadzliwati; Leu, Fang−Yie; Sanip, Muhammad Syamim; Susanto, Alifya Kayla Shafa; Setiana, Desi; Rosiyadi, Didi; Ibrahim, Fahmi; Insani, Asep; Khusni, Uus

doi:10.4018/978-1-7998-9664-7.ch007

Cited by 6 publications

(2 citation statements)

References 30 publications

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“…The workflow of each process is also verified against the required resources and time. Then, the outputs of the analytical processes are used to develop the alternative 'green' processes, while reducing the emissions [21,45,46]. This step encounters a challenge i.e., there is a difficulty in redesigning or restructuring some of the processes due to their nature or due to other internal constraints.…”

Section: Greenmentioning

confidence: 99%

Improving Productivity Using Green Process Reengineering Technology

Hraiga¹,

Ali²,

Abbas³

2023

Pol. J. Environ. Stud.

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Improving productivity is a goal that is pursued by almost all the economic units in various types of industries. In other terms, improving productivity corresponds to increasing productivity, improving the quality and reducing the costs involved in the operations. However, majority of the industrial units face difficulty in achieving this goal. So, there are tools and techniques that can be used to achieve this goal and one of such tool is green process re-engineering. The application of Green Process Re-engineering (GPR) has become increasingly common in the recent years, as the companies strive to improve their productivity and

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Section: Greenmentioning

confidence: 99%

Improving Productivity Using Green Process Reengineering Technology

Hraiga¹,

Ali²,

Abbas³

2023

Pol. J. Environ. Stud.

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“…Taking the COVID-19 pandemic as an example, customers heavily depend on the data and internet from these telecommunication companies. Therefore, with the use of sentiment analysis, this sector can focus on tracking APIs and web scrapping through social media and websites and find strategies by understanding customer and user sentiments and emotions to build a digital ecosystem that can easily be accommodated to such situations [33][34][35][36].…”

Section: • Improve Digital Ecosystemmentioning

confidence: 99%

Innovative Business Process Reengineering Adoption: Framework of Big Data Sentiment, Improving Customers’ Service Level Agreement

Susanto

Sari

Leu

2022

BDCC

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Social media is now regarded as the most valuable source of data for trend analysis and innovative business process reengineering preferences. Data made accessible through social media can be utilized for a variety of purposes, such as by an entrepreneur who wants to learn more about the market they intend to enter and uncover their consumers’ requirements before launching their new products or services. Sentiment analysis and text mining of telecommunication businesses via social media posts and comments are the subject of this study. A proposed framework will be utilized as a guideline, and it will be tested for sentiment analysis. Lexicon-based sentiment categorization is used as a model training dataset for a supervised machine learning support vector machine. The result is very promising. The accuracy and the quantity of the true sentiments it can detect are compared. This result signifies the usefulness of text mining and sentiment analysis on social media data, while the use of machine learning classifiers for predicting sentiment orientation provides a useful tool for operations and marketing departments. The availability of large amounts of data in this digitally active society is advantageous for sectors such as the telecommunication industry. These companies can be two steps ahead with their strategy and develop a more cohesive company that can make customers happier and mitigate problems easily with the use of text mining and sentiment analysis for further adopting innovative business process reengineering for service improvements within the telecommunications industry.

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Artificial Intelligence, Blockchain Framework, Cyberthreat Defenses of Resilient Digital Ecosystems

Susanto

Azim

Leu

et al. 2022

Handbook of Research on Artificial Intelligence and Knowledge Management in Asia’s Digital Economy

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A rise in the number of digital ecosystem users, as well as an increase in cyberthreats, has occurred in recent years. Risk of security breaches puts important data at risk for the public. With its high-level encryption security features, blockchain technology keeps data safe from unauthorized access. The study's goal is to find out if the blockchain framework can withstand the modern cyberthreats that exist inside the digital ecosystem today. It is critical that consumers are informed of the potential dangers of their online activities. These cyberthreats have been identified in the digital environment according to the research. An additional focus of the research is on identifying and resolving any security vulnerabilities with blockchain technology. The problem statement of the study, which is cyberthreat, is discussed in the introduction. It is also important to understand how blockchain operates and evaluate its security. Aim and purpose of the research are outlined in the introduction. The literature review discusses the study identified areas, gaps toward the issue, and the strategy to dealing with the gaps. The study's research approach makes use of a survey questionnaire and a random sample method to conduct descriptive research. Approximately 100 people are expected to participate in the survey. The analysis will be based on the figure itself where we evaluate based on how it shows. As a consequence, this finishes the study and provides further recommendations.

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Business Process Reengineering of Digital Learning Ecosystems

Cited by 6 publications

References 30 publications

Improving Productivity Using Green Process Reengineering Technology

Improving Productivity Using Green Process Reengineering Technology

Innovative Business Process Reengineering Adoption: Framework of Big Data Sentiment, Improving Customers’ Service Level Agreement

Artificial Intelligence, Blockchain Framework, Cyberthreat Defenses of Resilient Digital Ecosystems

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