Pengaruh Brand Equity dan Brand Trust terhadap Loyalitas Konsumen Mobil Merek Toyota Kijang Innova (Survey Konsumen pada Dealer PT. Agung Automall Cabang Sutomo Pekanbaru)

This study aims to determine the influence of brand equity and brand trust on consumer loyalty Toyota Kijang innova car at PT. Agung Automall Pekanbaru. The sample in this study were taken 72 respondents and the technique used purposive sampling. The data in this study used survey method through questionnaires filled by consumers. Data obtained from the results of the questionnaire then processed tested with statistics through the program SPSS16. The results of analysis used multiple linear regression analysis, determination test (R2), individual significance test (t test) and simultaneous significance test (F test) so it can be seen that brand equity variable had a positive effect on consumer loyalty variable, brand trust variable influences variable loyalty Consumers, and a significant influence between brand equity and brand trust variables on consumer loyalty. The results shows R Square is the coefficient of determination and obtained R Square value of 0.747. That is, brand equity and brand trust affect consumer loyalty by 74.7%

Studi Kasus Kesulitan Belajar Siswa yang Tinggal Kelas di Kelas VIII F SMP Negeri 13 Pontianak

: This study has the objective of this study was: "How to help cope with students who have learning difficulties students staying in class VIII class F SMP Negeri 13 Pontianak?" This study specifically aims to gain clarity about: 1. Types of learning difficulties experienced problems students living in the class F class VIII SMP Negeri 13 Pontianak. 2. Faktor-internal factors that cause learning difficulties experienced students who stayed in class VIII class F For students staying in class VIII F SMP Negeri 13 Pontianak. 3. External factors that cause learning difficulties experienced by students who stayed in class VIII F SMP Negeri 13 Pontianak. 4. Efforts to support any appropriate alternative to address students' learning difficulties who lived in class VIII class F SMP Negeri 13 Pontianak

Scalability challenges in healthcare blockchain system - a systematic review

Blockchain technology is a private, secure, trustworthy, and transparent information exchange performed in a decentralised manner. In this case, the coordination and validation efforts are simplified as the records are designed to update regularly and there is no difference in the two databases. This review focuses on how the blockchain addresses scalability challenges and provides solutions in the healthcare field through the implementation of blockchain technology. Accordingly, 16 solutions fell under two main areas, namely storage optimization and redesign of blockchain. However, limitations persist, including block size, high volume of data, transactions, number of nodes, and protocol challenges. This review consists of six stages, namely identification of research question, procedures of research, screening of relevant articles, keywording based on the abstract, data extraction, and mapping process. Through Atlas.ti software, the selected keywords were used to analyse through the relevant articles. As a result, 48 codes and 403 quotations were compiled. Manual coding was performed to categorise the quotations. The codes were then mapped onto the network as a mapping process. Notably, 16 solutions fell under two main areas, namely storage optimization and redesign of blockchain. Basically, there are 3 solutions compiled for storage optimization and 13 solutions for the redesign of the blockchain, namely blockchain modelling, read mechanism, write mechanism, and bi-directional network

Development and Algorithmization of a Method for Analyzing the Degree of Uniqueness of Personal Medical Data

The purpose of this investigation is to develop a method for quantitative assessment of the uniqueness of personal medical data (PMD) to improve their protection in medical information systems (MIS). The relevance of the goal is due to the fact that impersonal PMD can form unique combinations that are potentially of interest to intruders and threaten to reveal the patient's identity and medical confidentiality. Existing approaches were analyzed, and a new method for quantifying the degree of uniqueness of PMD was proposed. A weakness in existing approaches is the assumption that an attacker will use exact matching to identify people. The novelty of the method proposed in this paper lies in the fact that it is not limited to this hypothesis, although it has its limitations: it is not applicable to small samples. The developed method for determining the PMD uniqueness coefficient is based on the assumption of a multidimensional distribution of features, characterized by a covariance matrix, and a normal distribution, which provides the most reliable reflection of the existing relationships between features when analyzing large data samples. The results obtained in computational experiments show that efficiency is no worse than that of focus groups of specialized experts. Doi: 10.28991/HIJ-2023-04-01-09 Full Text: PD