Pengaruh Pengetahuan pajak, sanksi pajak terhadap kepatuhan pajak pada UMKM kota Medan

This research aims to look at the influence of Tax Knowledge, Tax Actionand Tax Compliance. Data collection techniques by disseminating questionnaires, while the data analyst method used is inferenceal statistics,(inductive statistics or probability statistics),is a statistical technique used to analyze sample data and the results are applied topopulations (Sugiyono in Kalnadi 2013). In accordance with the hypothesis that has been formulated, then in this study the analysis of inferential statistical data is measured using SmartPLS software (PartialLeast Square) ranging from model measurements (outermodels), the results of the study obtained a calculated value for Tax Knowledge (X1)is smaller and sig t value for Tax Knowledge (X 1) 0.124 is greater than alpha (0.05). Based on the results obtained then receive H0 and reject H1 for Tax Knowledge (X1). Thus, partially Tax Knowledge (X1) has no positive and insignificant effect on Tax Compliance (Y), indicating Tax Knowledge (X1)does not have a positive impact in improving Tax Compliance (Y). The results ofthe study obtained nilai tcalculated for Tax Sanctions (X2) of 2,759 greater than sig t value for Tax Sanctions (X2) of 0.007 smaller than alpha (0.05). Based on the results obtained, reject H0 and receive H1. Thus partially Tax Sanctions (X2)have a positive and significant effect on Tax Compliance (Y), meaning tax sanctions (X2)have a real impact in improving tax compliance (Y).

Psychological Characteristics of Information Workers

В статье выявляется психологическая специфика труда информационного типа, отличающая его от объектного и субъектного типов структурно-функциональной организацией деятельности. Актуальность исследования обусловлена противоречием между наличием класса специфических форм профессиональной деятельности, основанных на применении различного рода программных продуктов и телекоммуникационных технологий, включающим специальности информационного типа (программист, IT-специалист, специалист по анализу больших данных, специалист по облачным сервисам, разработчик интеллектуальных систем, оператор банковской сферы, бизнес-аналитик, экономист-кибернетик и др.), и фрагментарностью исследований особенностей психических процессов, свойств, состояний субъектов труда в данных профессиях. Исследования конкретной психологической специфики субъектов труда в профессиях информационного типа до настоящего времени встречаются относительно редко, а их результаты остаются разрозненными. Цель исследования состояла в систематизации и обобщении психологических особенностей субъектов труда в указанных профессиях. Ключевым методом исследования являлся анализ научной литературы по рассмотрению теоретического и эмпирического изучения психических процессов, состояний и свойств субъектов труда в профессиях информационного типа. Доказательную базу исследования составили научные публикации, размещенные в таких русскоязычных базах данных, как Elibrary, электронные ресурсы Российской государственной библиотеки, сайт Высшей аттестационной комиссии, сайты ведущих российских вузов. В результате сравнения, систематизации и обобщения разнородных психологических характеристик представителей профессий информационного типа была описана структурно-функциональная организация деятельности информационного характера и выделены обобщенные психологические особенности субъектов труда в профессиях информационного типа, проявляющиеся в различных сферах психики: когнитивной, потребностно-мотивационной и ценностно-смысловой, коммуникативной, эмоционально-волевой и отвечающей за социальное взаимодействие. Полученные и представленные в статье результаты определяют перспективы и необходимость более широких психологических исследований специфики субъектов труда профессий информационного типа, сфокусированных на выявленных проблемных зонах. The article analyzes unique psychological characterises of information work which make it different from objective and subjective dimensions of work. The relevance of the research is accounted for by the fact that even though there are specific forms of professional activities which involve the application of software products and telecommunication technologies (programmer, IT-specialist, data analyst, cloud infrastructure specialist, intelligent system developer, proof operator, business analyst, cyber economist, etc.), the psychological processes underlying information workers’ performance characteristics are underinvestigated. There is a paucity of research dedicated to the investigation of psychological processes that impact the performance of information workers. Moreover, there is a rather inconsistent set of results. The aim of the article is to systematize and generalize the psychological peculiarities of information workers. The key method of investigation is research analysis, theoretical and empirical investigation of psychological processes underlying information workers’ performance. The article is based on research published in Russian full-text databases, such as eLibrary, electronic resources of the Russian State Library, the site of the Higher Attestation Commission, sites of leading Russian universities. The authors compare, systematize and generalize various psychological characteristics of information workers, they describe the structure and functions of information work, they single out general psychological processes underlying information workers’ cognitive, value-related, motivational, volitional, communicative performance and social interaction. The results of the research open up diverse avenues for further research and underline the necessity to scrutinize the problems related to information workers’ performance.

Electronic health record to predict a heart attack used data mining with Naïve Bayes method

<span>A heart attack is a medical emergency. A heart attack usually occurs when a blood clot blocks the flow of blood to the heart. Cardiovascular disease is a variety of diseases that attack the body's cardiovascular system including the heart and blood vessels. Cardiovascular diseases (CVD) include angina, arrhythmia, heart attack, heart failure, atherosclerosis, stroke, and so on. To resolving (CVD) is to evaluate large scores of datasets, to compare for any information that can be used to forecast, to take care of organize. The method used Naïve Bayes classification because that method can determine target which can be used to answer some questions like whether the patient has the potential for heart disease. After data analyst, authors can use data to electronic health records (EHR).</span>

Moral Pajak, Sanksi Pajak, Penerapan E-Filling dan Kepatuhan Pajak

This study aims to obtain empirical evidence regarding the effect of tax morale, tax sanctions and the application of e-filling on tax compliance. This research is quantitative research. Data collection techniques in the study used an online questionnaire with a sample of 65 respondents. Technical data analyst using multiple linear regression. The results showed that tax morale and the application of e-filling had a positive effect on tax compliance. This shows that taxpayers who work in Surabaya have a spirit that comes from within themselves and have a high awareness that the taxes they deposit to the state treasury are mandatory contributions which will later be used for the construction of public facilities. The tax reporting system with e-filling will make it easier and provide convenience for taxpayers to report their taxes faster. Meanwhile, tax sanctions have no effect on tax compliance. This shows that taxpayers still think that the implementation of tax sanctions is less strict and the lack of socialization of regulations and taxpayers do not understand the risks if taxpayers do not report their taxes. Keywords : Morale; Sanctions; E-Filling; Tax Compliance.

Interactive Dashboard Design for Manager, Data Analyst and Data Scientist Perspective

With large amounts of unstructured data being produced every day, organizations are trying to extract as much relevant information as possible. This massive quantity of data is collected from a variety of sources, and data analysts and data scientists use it to create a dashboard that provides a complete picture of the organization's performance. Dashboards are business intelligence (BI) reporting tools that collect and show key metrics and key performance indicators (KPIs) on a single screen, enabling users to monitor and analyse business performance at a glance. An objective assessment of the company's overall performance, as well as of each department, is provided. If each department has access to the dashboard, it may serve as a springboard for future discussion and good decision-making. The goal of this article is to explain in detail the implementation of Dashboard and how it works, which will serve as a blueprint for building an effective dashboard with respect to best practices for dashboard design.

One-year comparative assessment of retention of arch width increases between modified vacuum-formed and Hawley retainers:

ABSTRACT Objectives To compare the clinical effectiveness of Hawley retainers (HRs) and modified vacuum-formed retainers (mVFRs) with palatal coverage in maintaining transverse expansion during a 12-month retention period. Materials and Methods Data were collected from postorthodontic treatment patients who met the inclusion criteria. A total of 35 patients were randomly allocated using a centralized randomization technique into either mVFR (n = 18) or HR group (n = 17). The outcome assessor and data analyst were blinded to the retention method. Dental casts of patients were evaluated at debond, 3 months, 6 months, and 12 months of retention. Intercanine width (ICW), interpremolar width (IPMW), interfirst molar mesiobuccal cusp width 1 (IFMW1), and interfirst molar distobuccal cusp width 2 (IFMW2) were compared between groups over time using mixed analysis of variance. Results No statistically significant differences were found between the two groups for ICW (P = .76), IPMW (P = .63), IFMW1 (P = .16), and IFMW2 (P = .40) during the 12-month retention period. Conclusions The null hypothesis could not be rejected. HR and mVFR had similar clinical effectiveness in the retention of transverse expansion cases during a 12-month retention period.

L-Diversity for Data Analysis: Data Swapping with Customized Clustering

Data anonymization should support the analysts who intend to use the anonymized data. Releasing datasets that contain personal information requires anonymization that balances privacy concerns while preserving the utility of the data. This work shows how choosing anonymization techniques with the data analyst requirements in mind improves effectiveness quantitatively, by minimizing the discrepancy between querying the original data versus the anonymized result, and qualitatively, by simplifying the workflow for querying the data.

PERBEDAAN DATA ENGINEER, DATA SCIENTIST DAN DATA ANALYST

Seseorang yang ahli dalam keterampilan analisis data hanyalah keterampilan dasar seorang insinyur data. Keahlian statistik digunakan untuk memproses data baca dan tag, serta untuk mengkategorikan data. Karena erat kaitannya dengan pemodelan yang dibuat untuk menguji algoritma pada level data scientist. Model yang dibuat pada fase data scientist digunakan sebagai alat dalam fase business intelligence. Pada tahap akhir ini, eksekusi yang akan dilakukan harus memberikan dampak positif dan keuntungan yang besar bagi sebuah instansi.

Application of Learning Analytics to Improve Higher Education

<p>In the digital era, the teacher assumes very diverse roles among which are to be an adviser, a generator of multimedia content, and more recently a data analyst. Big data analytics may play a major role in Higher Education for all the agents involved, the teachers and educators, the students themselves and the managers or heads of university centers. This paper applies learning analytics to the subject of Theory of Machines and Strength of Materials of the bachelor's degree in Chemical Engineering at Universitat Politècnica de València (Spain). The aim of analyzing the available information is to improve teachers’ actions and communication, to enhance resource efficiency, to assess classroom procedures, the achievement of transversal competences, the student typology and their results, or the attitudes and commitment they acquire with the subject taught. Results show the existence of niches with competitive advantages, improvements in the quality and performance of the teaching-learning experience.</p>

Food Sales Forecasting Using Machine Learning Techniques: A Survey

Food sales forecasting is concerned with predicting future sales of food-related businesses such as supermarkets, grocery stores, restaurants, bakeries, and patisseries. Companies can reduce stocked and expired products within stores while also avoiding missing revenues by using accurate short-term sales forecasting. This research examines current machine learning algorithms for predicting food purchases. It goes over key design considerations for a data analyst working on food sales forecasting’s, such as the temporal granularity of sales data, the input variables to employ for forecasting sales, and the representation of the sales output variable. It also examines machine learning algorithms that have been used to anticipate food sales and the proper metrics for assessing their performance. Finally, it goes over the major problems and prospects for applied machine learning in the field of food sales forecasting. Keywords: Food, Demand forecasting, Machine learning, Regression, Timeseries forecasting, Sales prediction