Konten Kurikulum Akuntansi Perguruan Tinggi Dan Kesesuaiannya Dengan Standar Kompetensi Lulusan

Changing trends in business and finance have an impact on accounting learning and curriculum. This study aims to see how the college accounting curriculum produces competent graduates and their conformity with the IQF competency standards, the competencies needed to prepare graduates to enter the accounting profession and the competencies expected by users (employers). This study uses a mix-method with a sequential exploratory model (content analysis and descriptive statistical analysis). The results of this study show that colleges provide graduates with competencies in accounting, business, general competencies and other competencies that can support graduates' careers. The compatibility between graduates competencies based on the college accounting curriculum and the IQF competency standards has been appropriate, while the compatibility between graduates competencies with the professional organizations competency and user expectations competency has not been appropriate. In their curriculum, some college have included courses related to digital technology. We hoped there will be further harmonization and adjustment between the accounting curriculum and graduate competency standards to improve graduates work ability.

Big Data Contribution in Desktop and Mobile Devices Comparison, Regarding Airlines’ Digital Brand Name Effect

Rising demand for optimized digital marketing strategies has led firms in a hunt to harvest every possible aspect indicating users’ experience and preference. People visit, regularly through the day, numerous websites using both desktop and mobile devices. For businesses to acknowledge device’s usage rates is extremely important. Thus, this research is focused on analyzing each device’s usage and their effect on airline firms’ digital brand name. In the first phase of the research, we gathered web data from 10 airline firms during an observation period of 180 days. We then proceeded in developing an exploratory model using Fuzzy Cognitive Mapping, as well as a predictive and simulation model using Agent-Based Modeling. We inferred that various factors of airlines’ digital brand name are affected by both desktop and mobile usage, with mobile usage having a slightly bigger impact on most of them, with gradually rising values. Desktop device usage also appeared to be quite significant, especially in traffic coming from referral sources. The paper’s contribution has been to provide a handful of time-accurate insights for marketeers, regarding airlines’ digital marketing strategies.

Harvesting Crowdsourcing Platforms’ Traffic in Favour of Air Forwarders’ Brand Name and Sustainability

In the modern digitalised era, the total number of businesses and organisations utilising crowdsourcing services has risen, leading to an increase of their website traffic. In this way, there is plenty of space for marketers and strategists to capitalise big data from both their own and the crowdsourcer’s websites. This can lead to a comprehension of factors affecting their brand name, sustainability (gross profit) and consequently visitor influence. The first of the three staged contexts, based on web data, includes the retrieval of web data analytics and metrics from five air forwarding and five crowdsourcing websites in 210 observation days. At stage two, we deployed a diagnostic-exploratory model, through Fuzzy Cognitive Mapping (FCM), and in the last stage, an Agent-Based Model is deployed for data prediction and simulation. We concluded that crowdsourcing referral traffic increases air forwarders’ top 3 keywords volume, and decreases social traffic and total keywords volume, which then boosts their global web rank and gross profit. The exact opposite results occur with crowdsourcing search traffic. To sum up, the contribution of this paper is to offer realistic and well-informed insights to marketers about SEO and SEM strategies for brand name and profit enhancement, based on harvesting crowdsourcing platform traffic.

Student and family factors that are associated with Grade 4 reading achievement in Azerbaijan

Aims of the studyCompared to other developing countries, the reading achievement of Azerbaijani students remains low. Using the Progress in International Reading Literacy Study (PIRLS) 2016 data, this study examines potential predictors of Grade 4 student reading achievement in Azerbaijan.Background of the researchThe study is guided by an exploratory model and considers various student and family factors which could be influenced by the policies to improve student reading achievement in Azerbaijan. The study differs from previous research in that it simultaneously examines multiple predictors of student reading achievement in a previously under-researched country.MethodThis study conducts a secondary analysis of the PIRLS 2016 data. Regression model is utilized to examine the effects of student and family factors on reading achievement.ResultsThe study finds that student characteristics (gender, liking reading, and confidence in reading) and family factors (home resources for learning, preschool attendance) are significantly associated with reading achievement of Grade 4 students in Azerbaijan. The model explains 17% of the variance in student reading achievement.ConclusionThis study discusses recommendations related to the effects of various factors on reading literacy scores.

Financial Literacy Learning for Primary Education

This research constructs learning design to guide primary education students on achieving financial literacy. The approach used is mixed method sequential exploratory model. This results shows that validity and reliability of this design in general on the category can be used.