Application of the E-Bussines Concept to a Double Bread Company (Case Study of FEBI UINSU Students)

With the large number of fans of Roti Ganda outside the Pematang Siantar area, therefore an E-business implementation system is needed in the company. The use of e-business technology facilitates company performance and improves company quality. The application of this technology can expand the company's market share, especially the cost for advertising which is cheap compared to advertising on the street and mass media. There needs to be socialization and in-depth learning as well as careful preparation before implementing e-business applications. In the process of designing the application of E-Business at a web- based Double Bakery Shop with a CRM (Customer Relationship Management) approach, an explanation or theory is needed that can support and support success in making the information system and to explain to users how the functions and benefits of implementing E-Business are needed. on a web-based Double Bakery with a CRM approach.

Impediments to Blockchain Adoption

Satoshi Nakamoto (2008) published a seminal paper on a promising digital currency application and proposed a distributed ledger technology (DLT) to support it. Shortly thereafter, in 2009, bitcoin and the customized DLT that supports it were established. Although the DLT described by Nakamoto (2008), which packages data into blocks that are then cryptographically chained together (i.e., "block chain", or "blockchain"), possesses features that are desirable for some business applications and/or their auditors, over a dozen years later there is not yet a widescale adoption of blockchain for business operations. This paper explores functionality, data and process integrity, and regulatory concerns as potential explanations for the lag in mainstream business and accounting adoption. We also contextualize some of the concerns that are likely to have delayed blockchain implementation by providing a framework of questions directed at both researchers and practitioners.

Blockchain

A blockchain is a specific database stored in an electronic form. The databases stored in a block are put in a chain. When new data is added, it will be put in a new block. The blockchain may be created for storing different kind of information in which the most popular use of blockchain is ledger for transactions. Anything of value can be put in a blockchain, and this will reduce risk factors and cost. The blockchain is a chain of blocks used to store public databases. The blockchain can be a powerful tool in business applications for sharing and updating data. The blockchain may be used for the business process for handling transaction-related problems in an effective manner. The blockchain is also helpful in developing an ecosystem between various stakeholders. The policies, benefits, and cost are serious risk factors.

Legal and Regulatory Landscape of Blockchain Technology in Various Countries

Blockchain technology can be leveraged to record information securely, ranging from public sector data to private records. It has the potential of being ubiquitous due to its far-reaching use cases and revolutionary features. The deployment of blockchain technology can radically transform corporate and government operations and services. The blockchain legislative landscape is rapidly evolving, and an in-depth analysis is provided to offer a legal and contextual perspective of the regulatory trends across the globe. Part I explores the widespread use of blockchain technology for various industries and business applications. It also outlines two types of legislation that can be enacted, namely enabling and prohibitive legislation, to advance the policy objectives of a country. Part II examines the regulatory responses of various countries relating to blockchain use cases and applications.

Application of Cognitive Automation to Structuring Data, Driving Existing Business Models, and Creating Value between Legacy Industries

To build high quality datasets and unlock the value of unstructured data, a systematic approach for data capture is necessary. Cognitive automation (CA), that is, automation of processes with artificial intelligence (AI), enables the information extraction from unstructured data to provide relevant insights and further processing with AI. This study provides an overview of this new technology and shows how it can be used to transform existing business models. Our case studies in the insurance auditing, healthcare, and banking industries show the potential managerial impact of CA, which prepares these legacy industries for their digital future’s challenges and opportunities. We present the novel data extraction pipeline for textual and visual data and demonstrate its efficiency in extracting information from the company’s unstructured data. We show its performance in quality, cost, and time compared with current industry standards and provide management insights for business applications using CA.

English - Indonesian Translation Strategies Made By Vocational Students

Translation for the vocational students of the Business English study program could be considered as the fifth language skill that they need to learn in multilingual digital era. Therefore, they have to be able to translate and interpret from English text to the Indonesian text and vice versa in some business applications, such as tourism/ hospitality industry, export import, and customer service. In this paper, the writers used qualitative descriptive research on the case study taken from the Translation classroom. To achieve the purposes of the study, the writer would like to compare the results of the respondents' target translation between translating the source text without and with translation strategies in facilitating their academic learning process. In this survey, the writer found out that most of the participations used Google Translate and translation strategies, such as structural and semantic translation strategies to help them facilitate their translating to produce qualified translation results. Based on the results, the translation strategies were useful for novice translators. The other findings were what factors that influenced their errors in English- Indonesian translation and what translation strategies. The writers also shared some important educational implications of this research

A QR Code-Based Approach to Differentiating the Display of Augmented Reality Content

The augmented reality (AR) system requires markers to recognize and locate virtual objects on the screens of mobile devices. However, both markers and objects must be registered via the online platform in advance. In addition, an AR marker can only pair with a fixed set of virtual objects, limiting the flexibility and immediacy of changing and updating these data. This paper incorporates the quick response barcode (QR code) into the AR system to address these issues. We propose an algorithm with two vital goals, including (1) generating differentiated virtual objects for different target users by using only one QR code as the marker and (2) concealing different private authentication in QR modules by applying the error correction capability. We then demonstrate the proposed approach via a simulation of two practical scenarios, the electronic catalogs for business applications, and differentiated instructional materials for digital learning. This paper contributes to AR and QR code research and practices.