Sistem Pendukung Keputusan Penentuan Merek Smartphone Terbaik Dalam Mendukung Belajar Online Mahasiswa Era Covid-19 Menggunakan Metode PSI (Preference Selection Index)

The era of the Covid-19 pandemic has resulted in people having to carry out activities by keeping their distance from one another in order to achieve the termination of the spread of the Covid-19 virus, this activity resulted in the government issuing a decree, especially to the education office to conduct online learning because schools and universities is one of the places that has great potential for easy transmission, online learning makes all students obliged to have a smartphone or android so that it makes it easier for students to access online learning, it is necessary to determine the best smartphone brand with the most purchase criteria, price, capacity owned by smartphone and year. output which will later become a literature review of students and parents of students to be more selective in choosing according to the wishes and needs of each user with the help of a decision support system and the application of the PSI method (Preference Selection Index). rence selection index), and the results obtained with the highest score on the xiaomi smartphone with the highest score of 0,327332, the assessment process is fairer and the decision-making process is fast.

Online Recommender System

As the size of the e-commerce market grows, the consequences of it are appearing throughout society.The business Environment of a company changes from a product center to a user center and introduces a recommendation system. However, the existing research has shown a limitation in deriving customized recommendation information to reflect the detailed information that users consider when purchasing a product. Therefore, the proposed system reflects the users subjective purchasing criteria in the recommendation algorithm. And conduct sentiment analysis of product review data. Finally, the final sentiment score is weighted according to the purchase criteria priority, recommends the results to the user. Recommender system (RS) has emerged as a major research interest that Aims to help users to find items online by providing suggestions that Closely match their interest. This paper provides a comprehensive study on the RS covering the different recommendation approaches, associated issues, and techniques used for information retrieval.

Personal customized recommendation system reflecting purchase criteria and product reviews sentiment analysis

As the size of the e-commerce market grows, the consequences of it are appearing throughout society. The business environment of a company changes from a product center to a user center and introduces a recommendation system. However, the existing research has shown a limitation in deriving customized recommendation information to reflect the detailed information that users consider when purchasing a product. Therefore, the proposed system reflects the user's subjective purchasing criteria in the recommendation algorithm. And conduct sentiment analysis of product review data. Finally, the final sentiment score is weighted according to the purchase criteria priority, recommends the results to the user.

Specialty coffee in Brazil: transition among consumers' constructs using structural equation modeling

PurposeBuilding on Guimarães et al. (2019) study and using the modeling of structural equations, the objective of this paper was to elaborate constructs whose variables would enable the characterization and distinction of individuals among these different groups of consumers and to provide insights into their transition between them.Design/methodology/approachThe constructs were validated by the average variance extracted adaptive (AVEADP) index. The transition between consumer groups is explained and encouraged by advances in their conceptual and perceptual knowledge. Thus, regular consumers should be addressed with messages aimed primarily for the social aspect of consumption; enthusiasts, by reinforcing simple to moderate aspects commonly used as product purchase criteria and experts, attracted by the emphasis on complex criteria related to specialty coffee's conceptual and perceptual knowledge, highlighting their influence on the beverage's sensory profile.FindingsThose results enabled a better understanding of these consumers and can guide the marketing strategies of different actors in this market.Originality/valueImportant attempts to understand and characterize Brazilian specialty coffee consumers were conducted by Guimarães et al. (2019) and Ramírez-Correa et al. (2020). However, further studies are needed to differentiate different specialty coffee consumer groups and enhance the market applicability of those studies results. In addition, despite its importance, there is a paucity of public domain studies about the national consumption of specialty coffees, being the results of this work important for the wide dissemination of such information.

SOCIAL TECHNIFICATION OF THE WORK OF UNIVERSITY CLASSES (TAKING INTO ACCOUNT INTERESTS OF STUDENTS)

The article substantiates the importance of studying the interests of participants in educational relations, it indicates the need to orient social technologies for managing educational systems so that to take into account the needs and interests of students, reflected in the behavioural and emotional aspects of their behaviour. The article presents the results of sociological research, demonstrating the complexity of the motivational structure of students. This structure is presented in the form of actual needs and expressed in the variety of their desires and dreams. The article describes the relationship of the motivational sphere of students, their gender, age and behaviour characteristics and living conditions with the comfort of living, environment at home and at school, material security, satisfaction with studies, academic performance, observance of moral norms of communication in their environment, opportunities for self-expression, confidence in the future, life goals, purchase criteria and other characteristics of consumer behaviour. The article examines the motivational features of young students, that depend on the prevailing types of values, the desire for selfrenewal (desire for independence, stimulation, hedonism), self-preservation (desire for security, conformity, adherence to tradition), self-restraint (desire to show kindness and universalism) and self-affirmation (desire to achieve and power).

Product recommendation system based user purchase criteria and product reviews

<span lang="EN-US">In this paper, we propose a system that provides customized product recommendation information after crawling product review data of internet shopping mall with unstructured </span><span lang="EN-US">data</span><span lang="EN-US">, morphological analysis using Python. User searches for a proudct to be purchased and select the most important purchase criteria when purchasing the product. User searches for a proudct to be purchased and select the most important purchase criteria when purchasing the product.</span><span lang="EN-US"> And extracts and analyzes only the review including the purchase criterion selected by the user among the product reviews left by other users. The positive and negative evaluations contained in the extracted product review data are quantified and using the average value, we extract the top 10 products with good product evaluation, sort and recommend to users. And provides user-customized information that reflects the user's preference by arranging and providing a center around the criteria that the user occupies the largest portion of the product purchase. This allows users to reduce the time it takes to purchase a product and make more efficient purchasing decisions.</span>

Implementasi Algoritma Klasifikasi C4.5 Untuk Memprediksi Kelayakan Pembelian Kendaraan

To choose a vehicle that suits your needs and the funds needed by consumers, you need careful and accurate analysis. The criteria used as a benchmark in choosing a vehicle among other prices, maintenance costs, number of doors, room capacity, baggage area, and vehicle safety level. To process all of these questions is needed a way that can help consumers in choosing the vehicle that best suits their needs. C4.5 algorithm is an algorithm used to compile a decision tree. C4.5 algorithm is used to determine the car to be taken by the buyer according to the background of the purchase criteria (purchase price), maintenance (maintenance costs), doors (number of doors), people (capacity for passenger announcements), lug_boot (delivery area) , safety (vehicle safety level) The results of this study are car purchasing assessment systems that are in line with expectations for potential car buyers in decision making considerations.