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Machine learning models have been very popular nowadays for providing rigorous solutions to complicated real-life problems. There are three main domains named supervised, unsupervised, and reinforcement. Supervised learning mainly deals with regression and classification. There exist several types of classification algorithms, and these are based on various bases. The classification performance varies based on the dataset velocity and the algorithm selection. In this article, we have focused on developing a model of angular nature that performs supervised classification. Here, we have used two shifting vectors named Support Direction Vector (SDV) and Support Origin Vector (SOV) to form a linear function. These vectors form a linear function to measure cosine-angle with both the target class data and the non-target class data. Considering target data points, the linear function takes such a position that minimizes its angle with target class data and maximizes its angle with non-target class data. The positional error of the linear function has been modelled as a loss function which is iteratively optimized using the gradient descent algorithm. In order to justify the acceptability of this method, we have implemented this model on three different standard datasets. The model showed comparable accuracy with the existing standard supervised classification algorithm. Doi: 10.28991/esj-2021-01306 Full Text: PDF

Strategic alignment is generally seen as an important driver for optimizing business performance. Strategic alignment is aligning internal resource capabilities and external opportunities for superior performance. To realize the suitability of Business and IT strategies, a framework is needed, namely Enterprise Architecture (EA). One of the frameworks for EA is The Open Group Architecture Framework (TOGAF). TOGAF is a method for developing and managing the Enterprise Architecture life cycle called Architectural Development Method (ADM). This ADM integrates elements of the TOGAF standard in responding to the organization's business, and IT needs. In this paper, researchers will contribute to formulating a strategic alignment model to modify the existing strategic alignment in TOGAF ADM based on the business strategy model. In this business model strategy, there are two things: the analysis of business strategy choices and the Balanced Score Card (BSC) strategy map. Analysis of business strategy choices uses SWOT analysis as a business strategy determination based on internal and external business environment analysis. Second, the BSC strategy map is a process of mapping business strategies into the BSC strategy map, which includes four perspectives: financial, customer, internal business processes, and learning and growth perspectives. This model was tested at the University Dinamika, and the results have a good alignment rate of 95%. For further research, this model can be tested in various organizations, such as universities and public and private organizations.