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This paper aims to provide an understanding of the basis for conducting a research with output in the form of scientific publications. A study, from proposal to scientific works, requires a research methodology. Many studies have been carried out on methodology, but few have returned according to the demands of the digitalization era. A methodology is in a fundamental position, also in computer science. The methodology familiarizes phenomena and paradigms with which objectives as interpretations of the problem formulation can be delivered to the target or outcome. That are, from concept until theory, the implication only, or as application of computer science. [ABSTRACT FROM AUTHOR]

Artificial Intelligence (AI) and Machine Learning (ML) is a branches of computer science applications that develop system-related tasks performed by programs and mathematical algorithms providing computers able to learn with or without human intervention. The perspective of AI and ML includes looking at exceptionally expansive space if conceivable speculations to decide one that best fits with the watched information and any earlier information held by the learner for this purpose so many algorithms are used in different types. Artificial intelligence is something that will produce our lives easier by performing different high-level computations and understanding complex issues. This can be a straightforward definition of what precisely artificial intelligence has done. The paper presents the supporting ability of artificial intelligence and machine learning in different applications, such as education, smartphones, medical care, and space technologies. However, this review studies the present status of machine learning, deep learning, and artificial intelligence technologies applied to the above technologies. [ABSTRACT FROM AUTHOR]

This paper discuss about the role of Decision Support Tool in Travelling Salesman Problem (TSP) for helping the researchers who doing research in same area will get the better result from the proposed algorithm. A study has been conducted and Rapid Application Development (RAD) model has been use as a methodology which includes requirement planning, user design, construction and cutover. Water Flow Algorithm (WFA) with initialization technique improvement is used as the proposed algorithm in this study for evaluating effectiveness against TSP cases. For DST evaluation will go through usability testing conducted on system use, quality of information, quality of interface and overall satisfaction. Evaluation is needed for determine whether this tool can assists user in making a decision to solve TSP problems with the proposed algorithm or not. Some statistical result shown the ability of this tool in term of helping researchers to conduct the experiments on the WFA with improvements TSP initialization. [ABSTRACT FROM AUTHOR]