The Effect of Debt, Liquidity and Corporate Tax Policy on Dividend Policy with Profitability as Intervening Variables in Trading Companies Listed on the Indonesia Stock Exchange for the 2014-2019

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Study this aim for get Proof empirical is Policy Debt, Liquidity and Corporate Tax have an effect to Policy Dividend with Profitability as intervening variables in the company Trades listed on the IDX for the period 2014 to 2019. Research this using 16 companies Trades listed on the IDX from 2014 to 2019 with use purposive sampling method. Research data this analyzed with Analysis of Moment Structure (AMOS) method. Research results show that variable Policy Debt, Liquidity and Corporate Tax together take effect to Policy Dividends. Variable Policy Debt, Liquidity and Profitability take effect to Policy Dividends. Variable Policy Debt and Liquidity take effect to Profitability. Study this also finds that variable Profitability could mediate influence Policy Debt, Liquidity and Corporate Tax on Policy Dividends.

Extent of Teachers’ Participation in Continuous In-Service Training Programmes for Their Improved Job Productivity in Secondary Schools in Anambra State

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The inefficiencies noticed among many secondary school teachers while performing their teaching responsibilities in the classroom which seems to have negative impact on their job productivity has warranted this present study. Therefore, the present study was designated to find out the extent teachers’ participation on continuous in-service training programmes for their improved job productivity in secondary schools in Anambra State. Three research questions guided this study. A descriptive survey research design was employed in the study. Population for this study constituted 5,674 teachers from 258 public secondary schools within the 6 education zones in Anambra State. Sample size for the study consisted of 1,135 teachers from 129 public secondary schools selected at 20% and 50% from both the teachers’ population and public secondary schools respectively using the stratified random sampling technique. Instrument for data collection was a researcher-developed 23-item questionnaire titled: “Teachers’ Participation in Continuous In-Service Training Programmes and Improved Job Productivity Questionnaire (TPCISTPIJPQ)” and structured on a 4-point scale of Very High Extent (VHE), High Extent (HE), Low Extent (LE) and Very Low Extent (VLE) in order to answer all the three research questions. The questionnaire was validated by two experts from the Department of Educational Management and Policy, and one Measurement and Evaluation expert from the Faculty of Education, Nnamdi Azikiwe University, Awka, Anambra State. Reliability of the instrument was established through a pilot-test on a sample 32 teachers from 4 public secondary schools in Anambra State. The scores obtained were measured using Cronbach Alpha statistics which yielded coefficient reliability value of 0.75, 0.77 and 0.81 for each cluster respectively, with an overall internal consistency reliability value of 0.78 showcasing that the questionnaire was reliable and dependable to collect the necessary data for the study. Data collated were analyzed using the mean score rated at 2.50 and standard deviation statistics. Findings of the study revealed among others, that the extent of teachers’ participation in the various continuous in-service training programmes (on-the-job, off-the-job & computer-based training programmes) for their improved job productivity were all to a low extent. The study recommended among others that secondary school principals in collaboration with Anambra State Post Primary Schools Service Commission (PPSSC) should to high extent constantly organize on-the-job continuous in-service training programmes through induction and orientation training programmes, shadowing or co-worker training, job rotation, mentorship from older teachers, internship programmes, school seminars and workshops, coaching and committee assignment for teachers improved job productivity in schools.

Factors Affecting Investment Decisions of EU Investors in Vietnam

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EU investors were present in 18 out of 21 important economic sectors, focusing on manufacturing and processing industry 36.3%, refining and petrochemical 11%, textiles and garments 6.94%, electronics 6.4%, food processing 5.6%, cars and means of transport 5.2%; production and distribution of electricity and gas 20.7%, real estate 11%, information and communication 6.6% (GSO, 2020); contributed significantly to Vietnam’s economic growth. On the basis of that, attracting FDI is a subjective activity of the investee, that is, the investee will perform activities affecting the factors of the investee to increase the attractiveness of the investor. foreign investor. Thus, in order to effectively attract FDI from EU investors into Vietnam associated with the characteristics of each investor, it is necessary to assess the degree of influence of factors on FDI attraction, which is also the factors affecting the decision of EU investors. This study uses an exploratory factor analysis (EFA) model to analyze the factors affecting the investment decisions of EU investors in Vietnam, thereby proposing solutions to enhance the attractiveness of EU investors effective FDI from the EU into Vietnam in the coming time.

Real time Bangla Digit Recognition through Hand Gestures on Air Using Deep Learning and OpenCV

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Digit Recognition in real time through hand gestures has achieved great attention in machine learning and computer vision applications. This article focuses on identifying Bangla numerals in the air using hand motions. This research leads to the stairwell, allowing for more investigation in the same subject for various Bangla characters and even phrases. The major issue, however, is coping with the wide range of handwriting styles employed by various users. Many studies have been done on the identification of Bangla handwritten digits, but none has proven successful at recognizing Bangla digits in real time using hand gestures in the air. As a result, this article describes the creation of a Bangla digit recognition model that employs a Convolution Neural Network (CNN) to predict Bangla digits by observing hand movements in the air space.  After a thorough examination, the suggested system attained a 98.37% accuracy on the BanglaLekha-Isolated dataset.

Influence of Fashion Involvement, Attitude, and Price, Toward Purchase Intention of Ethnic Weaving

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Ethnic weaving from Indonesia is one of the ethnic fabrics that have very high cultural value. Indeed, ikat weaving is not as popular as batik, but the beauty and cultural philosophy contained in the ikat weaving is not inferior to batik. The weaving industry in Indonesia has long been developed and became a unique characteristic. Ikat weaving has developed in each tribe in Indonesia from generation to generation as an activity to preserve traditional arts. The purpose of this research is to identify and examine the influences of fashion involvement, attitude toward purchasing behavior, price, toward purchase intention of ikat weaving.

The type of research is quantitative and the data collection method used is a questionnaire survey. In this study, data were collected from 125 respondents who are people with an interest in ikat weaving. This study uses PLS-SEM to test the data. This research proved that both attitude toward purchasing behavior and price have positive influences on purchase intention of ikat weaving. Fashion Involvement has a positive influence on attitude toward purchasing behavior. Lastly, attitude toward purchasing behavior has a mediating influence on the relationship between fashion involvement and purchase intention of ikat weaving.

Ralstonia mannitolilytica Bacteremia in an Immunocompromised Patient: Case Report and Review

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Ralstonia mannitolilytica is an emerging opportunist pathogen reported in many healthcare facilities over the years. We report a case with R. mannitolilytica bacteraemia in breast carcinoma patient with chemo port. Identification of this non fermentative, Gram negative bacilli was done by Matrix-Assisted Laser Desorption/Ionization-Time of Flight Mass Spectrometry (MALDI TOF MS). A minireview of cases of R. mannitolilytica bacteremia in the recent years with special reference to those reported in India is done.

 

The Effect of GeoGebra Classic 6 Software on First-Year Students’ Graphing Skills of Hyperbola Functions and Confidence in Lusaka District

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This study investigated the effect of GeoGebra Software Classic 6 on first-year students’ graphing skills of Hyperbola Functions and confidence in Lusaka district. Quasi-experimental was used in the study, that is, pre-test post-test control group design. The research sample consisted of two first-year students lecture groups. The study comprised an experimental group (n=25) and a control group (n=25) first-year students studying MAT 101 (Foundation Mathematics) at one institution in Lusaka district. First-year students in the experimental group were taught using GeoGebra Software Classic 6 and those in the control group were taught using traditional teaching methods. A Hyperbola Function Achievement Test (HFAT) and a 5-point Likert Scale confidence questionnaire was used to assess the effect of GeoGebra Software Classic 6 on First-year students’ confidence on how to graph Hyperbolic Functions. An independent samples t-test was used to compare academic achievement of the two groups at 95% confidence level. Confidence in handling Hyperbolic Functions was analysed using descriptive statistics (mean). The findings showed that GeoGebra Software Classic 6 had a positive effect on first-year students’ graphing skills in Hyperbolic Functions . The study also revealed that GeoGebra Software Classic 6 allowed male and female First-year students to learn how to graph Hyperbolic Functions at the same level and this led to a conclusion that GeoGebra Software Classic 6 is not discriminatory and effects positively on gender. The confidence results indicated that first-year students’ confidence on how to graph Hyperbolic Functions was enhanced more in the experimental group compared to the control group with confidence mean of  and respectively. In view of these findings, lecturers of mathematics are advised to utilize the graphing application GeoGebra Software Classic 6 in their lecture theatres. Additionally, lecturers of mathematics in Higher Learning of Institutions should be encouraged to use GeoGebra Software Classic 6 in the teaching of how to graph Hyperbolic, Parabola, and Ellipse Functions.

Investment Analysis on the Development of Polymer Modified Bitumen (PMB) Production Plant to support the building of Indonesia Infrastructures

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Indonesia is one of the countries that focuses on infrastructure development to support the areas of connectivity and accelerate economic growth while maintaining the global commitment to GHG emission reduction. In order to support the above objectives, competitive bitumen prices with less GHG emissions are foreseen for the infrastructure’s development. Polymer Modified Bitumen (PMB) is one of the materials that is used for the pavement application that could provide 16.99% less GHG emissions compared to the unmodified bitumen due to their capability to provide similar performance with the thinner pavement layer requirement. There are 3 common PMB production processes recognized in the industry, such as Low Shear Mill Technology, High Shear Mill Technology, and Mobile PMB Plant. The Capital Budgeting technique (NPV, IRR, Profitability Index, Payback Period), internal and external analysis such as PESTEL and Porter’s five forces analysis are used to support the decision making for the right technology selection for the PMB processing plant in order to stay competitive in the Bitumen market. The economic analysis has shown that the low shear technology generates an NPV of IDR 186.573.816.286 with an IRR of 75,90%, the high shear technology generates an NPV of IDR 179.179.736.676 with an IRR of 62,39% and the mobile PMB plant generates an NPV of IDR 243.276.282.784, with an IRR of 68,37%. In addition to the highest NPV, the mobile PMB plant has the full flexibility to be mobilized to any project location, especially in remote areas where other production technologies are not available. Based on the above analysis, the mobile PMB plant is the right technology to be selected for the PMB provision to support the infrastructure development in Indonesia.

Design and Evaluation of Robo-Advisors Using Index Fund and Alternative Assets of Cryptocurrency and Gold: Case of Indonesian Capital Market

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Robo-advisor is one of the most prominent innovation in the wealth management industry, and its success in Indonesia has been evident in the case of Bibit. Therefore, wealth management companies need to employ Robo-Advisor to overcome their competition. This research aims to give recommendation on asset allocation method and asset class selection for Robo-Advisors in Indonesia using Sharpe Ratio Analysis. Then, the author will analyze the robo-advisor’s performance during equity market downturn. Finally, The Robo-Advisor’s actual performance will be tested in 2018, 2019, and 2020. The Sharpe ratio analysis result showed that Robo-Advisors seeking higher risk-adjusted return should choose mean-variance optimization over risk parity for asset allocation method, and the inclusion of gold and bitcoin in a portfolio of stock mutual fund and bond mutual fund increases the risk-adjusted return of the portfolio. The proposed robo-advisor’s portfolio protected investors from equity market downturn in 2011-2010 in 83,3% of the case. Finally, the proposed robo-advisor’s portfolio generated better return for the conservative, moderate and aggressive investor during 2018, 2019, and 2020 when compared to LQ45.

The Influence of Principal Servant Leadership, Self-Efficacy and Teacher Work Involvement on Organizational Citizenship Behavior (OCB) in Improving Teacher Work Performance at the Yayasan Abdi Karya Elementary Education Level

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This study aims to analyze the influence of the principal’s servant leadership, self-efficacy, and teacher work involvement on organizational citizenship behavior (OCB) in improving teacher work performance. The object of this research is the teacher who teaches at the basic education level of the Abdi Karya Foundation. The study used a survey method by distributing questionnaires. The number of respondents who filled out the questionnaires was 141 teachers, both classroom teachers, and subject teachers, and samples were taken using the Slovin formula from a total population of 146 from all teachers Yayasan Abdi Karya elementary education level. This research was conducted from January 15 to May 15, 2021. The data were analyzed using the SmartPLS (Partial Least Square) analysis application. The results of this study indicate that the servant leadership aspect has a positive and significant effect on organizational citizenship behavior (OCB), self-efficacy has a positive and significant effect on organizational citizenship behavior (OCB), and work engagement has a positive and significant effect on organizational citizenship behavior (OCB), and servant leadership, self-efficacy, and teacher work involvement simultaneously have a positive and significant effect on organizational citizenship behavior (OCB). While organizational citizenship behavior (OCB) has a positive and significant effect on improving teacher work performance.