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Decentralized Academic Platforms: The Future of Education in the Age of Blockchain Berlin Any; Ramadhan, Tarisya; Alwiyah; Efa Ayu Nabila
Blockchain Frontier Technology Vol. 3 No. 2 (2024): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v3i2.467

Abstract

Despite referring to two different phenomena, the phrases "decentralized organization" and "distributed organization" are sometimes used synonymously. I suggest separating distribution the dispersion of organizational decision-making from decentralization, which I define as the dispersion of organizational communications. The distribution of an organization does not necessarily imply its decentralization (and vice versa), because the presence of many management tiers impacts only distribution, not decentralization. Understanding the rise of digital platforms like Amazon.com, which control the global economy in the twenty-first century, has consequences for this proposed differentiation. Blockchain has arisen as an alternative technological framework. However, well-known platforms often use machine learning as their primary technology to translate inputs (such as data) into outputs (such as matchmaking services). I contend that machine learning encourages centralized communications and the concentration of decision-making, whereas blockchain provides platforms that are simultaneously decentralized and distributed (such as Bitcoin). This distinction has significant implications for antitrust policy, which, in my opinion, should instead concentrate on the data level for both its analysis and its target of action. My predictions for the future of competition between centralized and decentralized platforms, the development of governmental regulation, and broader ramifications for managers in the digital economy and the business schools responsible for their education are all based on the framework of this essay. I end by reflecting on the chance to renew cybernetic theory to stop a future where a small number of platform behemoths rule supreme.
New Authoritative Changes with Blockchain an Emphasis Production Network Ramadhan, Tarisya; Nur Wahid, Wahyu; Mulyati; Nusantoro, Hardjanto; Rifki, Abdul
Blockchain Frontier Technology Vol. 2 No. 1 (2022): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v2i1.103

Abstract

The paper means to introduce a deliberate writing survey showing the advantages, difficulties and future examination of blockchain innovation for the store network, likewise recommending how the elements of blockchain innovation can change the hierarchical parts of the store network. This paper appears through 31 factors ordered into positive, negative and future headings of innovation for the supply network. For example, blockchain innovation will diminish tedious of tasks the board and installments utilizing brilliant agreements. Moreover, incorporating blockchain innovation with different advances will permit item following and maintainable creation of the board. The choice of papers is restricted to supply networkopus data set and explicitly to the Administration Diary. Practical implications – blockchain innovation makes cooperative shared and business-to-business markets. The innovation mechanizes a few assignments, for example, request the board, installment for products, squander decrease and interaction control. In this manner, its utilization inside the supply networks will work on the usefulness and benefits of the members. This paper is centered around blockchain innovation for the supply network region with 60 articles examined. Likewise, 13 factors on benefits, eight factors on difficulties and 12 focuses on future examination bearings were investigated. This work will help specialists and business visionaries to extend about the progressions that blockchain innovation offers in supply network.
Management Information Systems on Integrated Student and Lecturer Data Hendriyati, Penny; Agustin, Farida; Rahardja, Untung; Ramadhan, Tarisya
APTISI Transactions on Management (ATM) Vol 6 No 1 (2022): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v6i1.1527

Abstract

One of the most important things in universities is the development of information systems and management of integrated data, important because of the high needs and completeness of attributes in each component related to academic affairs in all universities. Primary data in academics are students and lecturers. Data management and governance are well taken care of in order to deliver information to be accurate, transparency, accountability and actual. Lecturers and students can apply the SDLC model to produce a system that will later improve or replace the old system, through the design and implementation of data management information systems. In the application of policies towards lecturers and students, in this information system will provide formulation and overview to the leadership.
Determination of shareholders’ welfare with financing quality as a moderating variable Husnadi, Tengku Chandra; Marianti, Tatik; Ramadhan, Tarisya; Husnad, Tengku Chandra
APTISI Transactions on Management (ATM) Vol 6 No 2 (2022): ATM (APTISI Transactions on Management: July)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v6i2.1799

Abstract

The purpose of this study was to analyze the factors that might affect the shareholder welfare ratio (ROE). These factors include independent variables consisting of financing distribution ratio (FDR), low-cost funds ratio (CASA), net operating margin ratio (NOM), expense-based income ratio (FIR), and Financing Quality ratio (NPF). Furthermore, to determine the relationship of Islamic bank performance indicators on shareholder welfare with the ROE ratio indicator, NPF is a moderate variable. The method used to analyze the holder's welfare ratio (ROE) is moderate regression analysis with the error error model (ECM). The research sample used is the entire research population, namely monthly data from the Islamic banking industry for the period 2012-2020 (consisting of 14 Islamic commercial banks and 20 Islamic business units). The results of this study note that in the long run: FDR has a positive and significant effect on the ROE ratio, the NOM ratio has a negative and significant effect on the ROE ratio. While the variables of CASA ratio, FIR ratio and NPF have no effect on the ROE ratio. Furthermore, the NPF Moderating Variable strengthens the relationship of all direct and significant variables with the Shareholder Welfare Ratio (ROE), namely NPF moderates the negative and significant effect of FDR on the ROE ratio, NPF moderates the positive and significant effect of the ratio. on the ROE ratio. Furthermore, other variables NPF Moderating Casa and FIR have no effect on the ROE ratio. For the short term: FIR has a positive and significant effect on the ROE ratio, the NOM ratio has a negative and significant effect on the ROE ratio. While the FDR ratio, CASA ratio and NPF ratio variables have no effect on the ROE ratio. Furthermore, the NPF variable strengthens the relationship of all variables directly and significantly to the Shareholder Welfare Ratio (ROE), namely NPF moderates the negative and significant effect of FIR on the roe ratio, NPF moderates the positive and significant effect of the ratio. on the ROE ratio. While other variables, moderate NPF, FDR and CASA, have no effect on the ROE ratio. The implication of this study is to measure the welfare of shareholders, in this case the performance of Islamic banks with the ROE ratio approach. Why is the welfare ratio of all shareholders (ROE) important, because in accordance with the existence of Islamic banks it aims to provide benefits (maslahah) for the ummah. Islamic banks in carrying out their mandate have a commitment to be able to provide expectations from shareholders in the company and be able to develop products that are in accordance with the wishes and needs of customers. So from this study it can be said that of the 5 variables that affect the price. financing distribution ratio (FDR), low cost funds ratio (CASA), net operating margin ratio (NOM), cost-based income ratio (FIR) and Financing Quality ratio (NPF).