International Journal of artificial intelligence research (IJAIR)
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Financial Information In The Context Of Financial Distress Antecedents With The Independent Board Of Commissioners As Moderator
Get PDFThe primary objective of this study was to examine the impact of funding decisions, investment choices, managerial ownership, and institutional ownership on financial distress. Additionally, we aimed to assess the moderating role of an independent board of commissioners about these independent variables and their effects on financial distress. This research employed a quantitative approach and utilized WarpPLS for analysis. Data collection was carried out through purposive sampling, focusing on a population of 53 companies listed on the IDX, with a sample size of 46 companies. The findings of the research indicated that investment decisions had a significant positive influence on financial distress, whereas funding decisions had no significant impact. Managerial ownership also showed no significant effect, while institutional ownership had a notable negative impact on financial distress. Notably, the independent board of commissioners did not moderate the effect of investment decisions on financial distress but did moderate the impact of funding decisions, managerial ownership (fully), and institutional ownership (partially) on financial distress. The implications of this study are valuable for improving financial management practices in manufacturing companies
The Influence Of Model Problem-Based Learning, Model Project-Based Learning, And Model-Based Multicultural Learning On Prosocial Behavior Primary School Students In Surabaya
Get PDFThis research aims to determine the influence of the problem-based learning model, project-based model, and multicultural-based learning model on the prosocial behavior of elementary school students in Surabaya. The research applied is experimental research. The design in this research uses a nonequavalent Control Group Post-test Design. The research population is SDN Surabaya with research samples of fifth-grade elementary school students at SDN Margerejo I, SDN Sumur Welut III Surabaya, SDN Dukuh Menanggal 601 Surabaya. The data collection technique uses a questionnaire with 30 questions, while the research instrument uses the Measure of Prosocial Tendencies by adapting Carlo's. The data analysis technique uses the T-test. From the results of data processing, it can be concluded that there is an influence of the Model Problem Based Learning, Model Project Based Learning, and Model Multicultural Based Learning on the prosocial behavior of elementary school students in Surabay
INFORMATION ON MOTIVATION, COMPENSATION, WORK ENVIRONMENT AND ITS IMPACT ON THE PERFORMANCE OF SHARIA BANK EMPLOYEES
Get PDFCompetition of financial institutions is so tight, however the development of Islamic financial institutions the longer shows that the positive trend. The basic problem in islamic bank is how to spur employee performance to always improve. Excellent employees will contribute significantly to achieve the company’s goals. Bank Syariah Indonesia (BSI) have been experiencing a significant growth. This research purposes to know the effect of motivation, compensation and work environment on employee performance at BSI KCP Pancor. The research used the quantitative with correlation method. The sample is collected by using saturated sampling method and multiple linear regression for analyzing the data. The number of samples used in this study amounted to 30 respondents source was distribution of questionnaires to BSI employees. This study found that Motivation (0,032<0,05), Compensation (0,021<0,05) and Work Environment (0,044<0,05) has significant and positive effect on employee performance at BSI KCP Pancor. This study assists to understand the bank management specifically in employee performance. In other hand, the findings can be preferences in making policy for government, helpful to use additional references about comparison of Islamic banks employee performance and its influence
Personality Traits, Emotional Intelligence, Love Of Money, Financial Self-Efficacy, And Lifestyle On Financial Behavior
Get PDFThis research aims to determine the influence of personality traits, emotional intelligence, love of money, financial self-efficacy, and lifestyle on financial behavior. The type of research used is associative with a quantitative approach. The population in this study were students. The type of sampling used in this research is a nonprobability sampling method using snowball sampling and purposive sampling techniques. The data analysis method used is multiple linear regression analysis. The research results show that personality traits, emotional intelligence, love of money, financial self-efficacy and lifestyle have a significant positive effect on financial behavior. These results indicate that students who have good personality traits, good emotional intelligence, a high level of love of money, a good life style will have good financial behavior too. Furthermore, the higher a person's self-efficacy, the more responsible that person will be for their financial behavior
Analysis Effectiveness Sale Using E-Commerce in the Digital Age: A Case Study on Generation Millennials
Get PDFThe purpose of study This For analyze How the use of e-commerce can increase effectiveness sale to generation millennials in the digital age. With focus on two variables independent main , namely e-commerce platforms and digital marketing strategies, research This will to study How factors the influence variable dependent , namely effectiveness sales . Data collection methods used in study This is methodology survey . Author use approach study quantitative , especially cross-sectional models, based on developmental models or growth . Approach This aiming For collect comprehensive data with fast and descriptive development individual from time to time . The target population consists of from 500 students from various campus private sector in Jakarta, with group target specific is 120 students from several programs on campus this . Size sample of 120 students chosen using total sampling, where the size sample The same with size target population. From the hypothesis First until third results calculations assisted by SemPLS that There is influence significant and positive , then Success in leveraging e- commerce platforms and digital marketing strategies depends on a deep understanding of market and consumer dynamics, as well as the ability to adapt and optimize strategies according to platform characteristics and desired business goals . Considering the characteristics and preferences of the millennial generation who focus on technology, user experience, and trust, it is important for businesses and e- commerce platforms to continue to develop relevant and sustainable strategies. This will not only allow for increased sales conversions and brand awareness, but also to maintain customer loyalty in an increasingly competitive and dynamic market
The Mediating Effect of Efficiency on the Impact of Managerial Ownership on Firm Value Moderated by Firm Size and Risk Using Macro PROCESS
Get PDFThe phenomenon of firm value is still an interesting topic to research in the field of financial management, especially those caused by managerial ownership. Not all studies explore the efficiency mechanism and test it up to the boundary conditions of the effect itself. This study uses firm size and risk as factors to explain how efficiency mediates the impact of managerial ownership on firm value both directly and indirectly. The sample used in this study is the financial statements of companies listed on the Indonesia Stock Exchange with a period range of financial statements from 2010 to 2019. This study uses Conditional Process Analysis techniques with implementing of macro PROCESS embedded on SPSS version 21 software to find out how the mechanism (efficiency) varies as a function of individual differences (company size and risk). The results obtained are, large companies in Indonesia tend to have been managed efficiently so that they are able to deal with various levels of risk while small and medium-sized companies provide the opposite results. Firm size and stock return risk determine the indirect impact of efficiency on the effect of managerial ownership on firm value. Another finding is that the measurement of the direct impact of managerial ownership on firm value is not moderated by firm size and also the level of risk. Firm size (small, medium, large) and stock return risk (low, moderate, high) both have no contributory effect on the direct effect of managerial ownership on firm valu
Improving Performance Sentiment Analysis Movie Review Film using Random Forest with Feature Selection Information Gain
Get PDFSentiment analysis in film reviews is an important task to understand the audience's opinion towards a cinematic work. However, the complexity and subjectivity of language in film reviews pose a challenge. This research explores the application of Random Forest algorithm, an ensemble learning method, to perform sentiment classification on film reviews. Random Forest is built from a set of decision trees, each of which provides a prediction, and the final result is obtained from majority voting. This approach has the advantage of handling overfitting data. This research uses 500 review datasets along with positive and negative sentiment labels. The review text is represented as Information Gain and TF-IDF features to model the weight of each word. The Random Forest model is then trained using these features to predict sentiment labels. The performance of the model is evaluated using metrics such as accuracy, precision, recall and f1-score. The experimental results show that Random Forest is able to achieve 95.20% accuracy in sentiment classification of film reviews, surpassing the Support Vector Machine classification algorithm which in previous studies only achieved 92%. These findings provide a new perspective on the benefits of ensemble learning in sentiment analysis and its potential application in other domains such as marketing and public opinion analysis
Enhancing Electricity Consumption Prediction with Deep Learning through Advanced Data Splitting Techniques
Get PDFEnergy consumption is increasing due to population growth and industrial activity, making electricity essential in human life. With limited natural resources, effective management of electrical resources is crucial to reduce energy usage amidst rising demand. The current trends on using deep learning as prediction can enhance the performances. To have good performance it needs correct preprocessing data, so it will produce a model with less overfitting. This research proposes a model using time-series cross-validation as the splitting data and correlation to choose the best features set for the prediction of electricity consumption. Experiments will compare time-series cross-validation and holdout methods to see the performances of splitting data and enhancing the multi-horizon data. The experiment used 8 sets of feature lists, which are paired in combination based on correlation to ensure the best features that are related. The result is splitting data using time-series cross-validation can maintain good perfomances on mode and holdout can maintain a good evaluation performance across the horizon. Feature sets that include temporal features have excellent results, especially when combined with features that have the strongest correlation relationship with electricity consumption, leading to an enhanced R2. Among all the models tested, CNN-GRU had the best model for multistep prediction across various every horizons and feature sets
Information on Firm Value Determinants Based on Investment Decision and Dividend Policy
No full textDue to the high level of investment that occurs today, this study aims to determine the Determinants of Investment Decisions, Dividend Policy and its Implications for Firm Value. The research method used in this research is quantitative method with the type of data used is panel data (pooled data) which is a combination of data from time series data with cross section data. The population in this study are companies listed on the Jakarta Islamic Index (JII) for the period 2019 to 2021. For sampling techniques in this study using non-random sample techniques with purposive sampling method. To answer the alleged hypothesis in this research using the panel regression model estimation method where the statistical tool that will be used is EViews 10. The output of this research will be published in the Sinta 2 indexed national journal, for the level of technology readiness (TKT) of the proposed research, namely the TKT type of social humanities and education, which is defined in the utilisation of R & D results for the improvement of policies and governance with the achievement of indicator point 3, namely the results / outputs of R & D delivered as a reference and information for related partie
Employee Information System (SIP): The role of work motivation, communication and coordination in improving employee performance
Get PDFEmployee Information System (SIP) is a system designed to manage information related to employees in an organisation or company. The main purpose of the Employee Information System is to assist in managing employee data efficiently and effectively. The aim of the study was to determine the effect of work motivation, communication and coordination partially on performance and to determine the effect of work motivation, communication and coordination simultaneously on the performance of employees of the Bekasi City Sharia Cooperative. The method used is data collection methods and data analysis methods using statistical calculations. The regression coefficient value of Work Motivation b1 = 0.137, has a tcount value of 1.237 and probability Sig = 0.223 ˃ 0.05, then the value of the regression coefficient of work motivation is said to be insignificant and can be interpreted that if work motivation increases by one unit, employee performance increases by 0.137 units assuming constant communication and coordination. Communication regression coefficient b2 = 0.314, has a t-count value of 2.362 and probability Sig = 0.023˃0.05, then the value of the communication regression coefficient is said to be insignificant and can be interpreted that if communication increases by one unit, employee performance increases by 0.314 units with assumption of constant work motivation and communication. The value of the coordination regression coefficient b3 = 0.387, has a t-count value of 3.147 and the probability Sig = 0.003 ˃ 0.05, then the value of the coordination regression coefficient is said to be significant and can be interpretednamely if coordination increases by one unit, employee performance increases by 0.387 units with the assumption constant work motivation and communication. This study contributes to work motivation, communication and coordination simultaneously on employee performance. The effect of work motivation, communication and coordination on performance simultaneously is shown by the results of the analysis, that the effect of work motivation, communication and coordination is shown by the value of the regression coefficient b1 = 0.137; b2 = 0.314; and b3 = 0.387. Significant value at the 5% test level because it has F count ˃ F table (16.184˃2.833) and sig É‘ (0.000Ë‚0.05). The consequences of this study are limited to the research variables of work motivation, communication, coordination, and employee performance. In addition, the object of research is only within the scope of the Bekasi City Sharia Cooperative.Â