Publication Search

This research aims to explore strategies for cultivating exceptional talent in the era of artificial intelligence (AI). The study employs a mixed-method approach, integrating interviews, surveys, and case studies to gather comprehensive data. The sample selection includes individuals from various industries known for fostering talent development, such as technology, education, and business. Through thematic analysis, the collected data are systematically examined to identify recurring patterns, emerging themes, and innovative practices in talent cultivation. Results reveal multifaceted strategies encompassing personalized learning, mentorship programs, continuous feedback mechanisms, and proactive skill development initiatives. Furthermore, the study highlights the significance of human-centric approaches in leveraging AI technologies to enhance talent development efforts. The findings contribute to a deeper understanding of how organizations can harness human potential effectively amidst technological advancements, paving the way for sustainable talent management practices in the AI era.    

The events of the covid-19 pandemic produce an uncertain future. This has a very far-reaching influence on capitalization of capitalization and also social problems such as increasing levels of violence and crime rates. The purpose of this study is to analyze government policies regarding reactions due to inflation, especially in Indonesia. Inflation rate has a negative effect on the reaction load. The inflation rate affects the response because when the stimulus increases, inflation will decrease and vice versa. There are several government policies in overcoming pressure due to inflation, namely creating jobs, changing the investment climate, spreading several economic stimulus, and improving the quality of human resources through education.    

This study aims to analyze the influence of SEA and E-WoM on college decisions for Digital Business Study Program, Universitas Al Irsyad Cilacap, The object of this research is the Digital Business Study Program at Al-Irsyad Cilacap University, while the subjects are students of the Digital Business Study Program at Al-Irsyad University Cilacap. sampling with purposive sampling technique. The number of samples in this study were 31 respondents. Data was obtained through questionnaires which were distributed directly to digital business students at Al-Irsyad University, Cilacap. The data analysis technique uses SPSS version 22. Based on the results of the analysis carried out, it shows that SEA has a positive effect on digital business study study decisions, E-WoM has a positive effect on digital business study study decisions.

The increasing use of social media among students has raised concerns regarding its impact on academic performance and digital well-being. This study aims to examine the relationship between social media usage, student learning outcomes, and overall well-being in a digital environment. Using a mixed-methods approach, data were collected through surveys and in-depth interviews with high school and university students. The findings indicate that while social media can serve as a valuable tool for academic collaboration and resource-sharing, excessive and unregulated usage often leads to distractions, reduced academic performance, and negative effects on mental health. The study highlights the need for balanced social media engagement and the implementation of digital literacy programs to promote responsible usage. These insights contribute to the ongoing discussion on digital well-being and offer practical recommendations for students, educators, and policymakers.  

This research to analyze the contribution of variables from three economic policies, with monetary policy through interest rate variables, exchange rates, and money supply in facing economic recession. Where the fiscal policy variable is through tax value. Then macroprudential policy through Non Performing Loan and Capital Adequacy Ratio variables. This study uses secondary data or time series, namely from December 2019 to February 2021. The data analysis model in this study is the Vector Autoregression (VAR) model which is seen from being sharpened with Impulse Response Function (IRF) analysis and Forecast Error Variance Decomposition (FEVD), Panel ARDL, and Different Tests. The results of the IRF analysis show that the stability of the response of all variables is formed in period 8 or the medium and long term, where the response of other variables to changes in one variable shows different variations, both from positive responses to negative responses or vice versa, and there are variables whose responses remain positive or remain negative from the short term to the long term. The results of the FEVD analysis show that for the short-term inflation variable it is influenced by inflation itself and in the medium and long term it is influenced by interest rates. For the JUB variable in the short term it is influenced by JUB itself and in the medium and long term it is influenced by NPL. For the interest rate variable in the short term it is influenced by JUB while in the medium and long term it is influenced by the exchange rate itself and CAR. For the tax variable in the short, medium and long term it is influenced by the tax itself and JUB. For the NPL variable in the short, medium and long term it is influenced by JUB and tax. For the CAR variable in the short, medium and long term it is influenced by JUB and tax. Then the results of the ARDL Panel analysis show that the country that is able to become a leading indicator in controlling the economic recession in the Four of The Group Twenty, namely Turkey, is only done by interest rates. While South Africa is done by interest rates, taxes, NPL, and CAR. For Russia, it is done by all variables, namely the amount of money in circulation, interest rates, exchange rates, taxes, NPL, and CAR. Meanwhile, Indonesia is carried out by exchange rates, taxes, NPL and CAR.

Smart wearable technologies are becoming essential tools for real-time health monitoring, offering a new dimension of personalized medicine. Wearable devices equipped with biosensors, artificial intelligence, and Internet of Things (IoT) connectivity can continuously track vital signs such as heart rate, blood pressure, oxygen levels, and even detect early symptoms of diseases. This paper explores the latest advancements in wearable health technology, including flexible electronics, energy-efficient data processing, and integration with telemedicine platforms. Additionally, ethical concerns such as data privacy, cybersecurity risks, and user adoption challenges are discussed. The study provides insights into how smart wearables can be effectively utilized for preventive healthcare, chronic disease management, and real-time health diagnostics.

Financing is the main function and product of Islamic banking, namely the distribution of funds aimed at helping those in need, and if managed properly, can contribute significantly to Islamic banking income. However, in their distribution, funds carry many risks due to the uncertain and diverse nature of humans. This risk is reflected in the existence of loans that face problems that reduce the profits or profitability of Islamic banks. The purpose of this study is to explain the effect of Financing, Non-Performing Financing (NPF) and Financing to Deposit Ratio (FDR) on the profitability (ROA) of Bank Kaltimtara Syariah By including Financing, Non-Performing Financing (NPF) and Financing to Deposit Ratio (FDR) as the independent variable and profitability (ROA) as the dependent variable. This is a quantitative research with multiple linear regression analysis techniques. The population or research theme is the annual report of Bank Kaltimtara Syariah. A total of 9 samples were taken from the Bank Kaltimtara Syariah Quarterly Financial Report for the 2016-2018 period. Based on the test results, it is known that tcount = - 1.4 98 < t table = 1.8 3 3 Financing and NonPerforming Financing (NPF) both have no significant positive effect on Return On Assets (ROA). While the Financing to deposit Ratio (FDR) regression shows a significant influence on Profitability (ROA). The amount of tcount is 1.859 > ttable 1.833

The development of student learning creativity is inseparable from the role of teacher competence as an educator in transferring effective learning, as well as in SKI learning. This paper aims to see how the four SKI teacher competencies are implemented at SD IT Hidayatul Jannah. This study used a qualitative approach with an analytical descriptive method. As for the results of the study: (1) There are aspects of pedagogic competence that have been fulfilled, it can be seen that the teacher has provided educational learning, can communicate and interact actively, (2) Aspects of personality competence as seen by the stability and personal integrity of a teacher, being fair, honest, objective, and also disciplined in carrying out assignments, (3) Aspects of professional competence that can be seen from the mastery of material, structure, and also scientific thinking concepts that support the subjects that the teacher already has, (4) Aspects of social competence of teachers who can accept the advantages and disadvantages of others, and are able to adapt to the environment, especially to students.  

Information systems in modern times now have a fairly important role in the progress of an organization, including in the business world. The obstacles that often arise in Small and Medium Enterprises (SME) namely on a transaction system that is still manual, with using paper to archive company data. Thus it will clearly make it difficult to control financial report data and transaction data. For this reason, it is important to earn for a certain system which able to help process transaction data and reports, which can also be useful for interested parties to overcome these obstacles. The required application system is an Accounting Information System. This research was conducted using quantitative analysis methods, namely by collecting accurate data. The aim of this research is none other than to analyze the effect of management information systems on decision making at Desi stores. The data collection method used by researchers is to create a questionnaire. The sample studied was 20 respondents using simple linear regression data analysis techniques. The influence of information systems in making decisions on selling prices at Desi Store is 67.4%. As the result of this research we can see that accounting information system for ‘Desi stores’ has played an effective and efficient role as a management tool in making pricing decisions, because most of the selling prices in 'Desi stores' use prices suggested by the official salesperson of these products. However, data processing and recording of company financial reports at 'Desi stores' still use a fairly simple method, namely with using paper to archive company data.

Financial distress is a condition whene the company are in a state financial difficultes. Every company must have an early an early warning system to detect the potential for financial distress in order to avoid bankruptcky. The Purpose of this is to analyze and provide empirical evidence regarding the effect profitability (ROA), as a moderating between liquidity (CR), leverage (DAR), sales gowth (SG), in predicting financial distress (Altman Z-Score). The population in this purpose were retail companies on the IDX for the 2016-2020 period, with a sample of 19 companies studied for 5 years so that 95 samples were obtained, using the purposive sampling method. The data used is secondary data in the form of information from the company’s financial statements. The data analysis technique used logistic regression and moderating regretion analysis (MRA). The rsults prove that the variables of liquidity, sales growth and profitability are able to predict financial distress, while leverage cannot predict financial distress, the profitability variable strengthens the influence of liquidity and sales growth in predicting financial distress but weakens leverage in predicting financial distress. The advince given is expected thet the company can increase the effectiveness and efficiency in managing assets and can increase sales so that the profit received by the company increases so that the company can avoid financial distress.

PT GMP Sukses Makmur Indonesia is a company engaged in the production of Bubble Wrap (bubbled plastic). This company produces 818,680 rolls with an average monthly production of 68,223 rolls. The problem that often arises at Pt Gmp Sukses Makmur Indonesia is the high production machine delay time with a downtime of 705.43 hours and a breakdown of 663.33 hours in one year, so the engine performance is less effective. This can lead to not achieving production targets which cause losses. The purpose of this study is to determine the effectiveness of the Bubble Wrap production machine using the Overall Resource Effectiveness (ORE) measuring tool and to find the causes of the problems that have been carried out using the ORE method on Bubble Wrap production machines during the period September 2021 – August 2022. ORE is a method that is useful in measuring the effectiveness of production time by taking into account the resources which include humans, machines, materials and methods. In the ORE method there are seven factors that are measured including readiness, availability of facility, changover efficiency, availability of material, availability of manpower, performance efficiency, dan quality rate. The results of measuring machine effectiveness using the Overall Resource Effectiveness (ORE) method for Ektruder machines were 76.41%, Crushers 99.59%, Cooling 98.99%, Mixers 99.79%, and Air Compressors 98.88%. Based on the method used, it is known that in the Bubble Wrap production process, the extruder machine does not meet the ORE standard of 85%, while the influencing factors are performance efficiency and quality rate. where the value of performance efficiency and Quality rate does not meet the standard so that it affects the high value of Overall Resource Effectiveness (ORE).

This research endeavours to delve into the potential of Artificial Intelligence (AI) in bolstering Project Resource Management (PRM), discerning the principal challenges inherent in project resource planning, acquisition, and human as well as physical resource management, while also appraising the utilization of AI tools by project team members (PTM) and their efficacy in daily tasks. This research contributes a theoretical basis for what lies ahead studies in PM and unveils the benefits of AI in task monitoring, scheduling, team assignment, cost estimation, and the monitoring of physical project resource availability. This study employs a mixed-method approach, commencing with an initial literature review to identify project challenges. Data collection is facilitated through the administration of questionnaire surveys and interviews with project managers, encompassing both closed-ended and semi-structured questions. The research reveals that PTM readily embraces the utilization of AI for daily tasks and Project Resource Management can be enhanced through AI.

This study aims to investigate the impact of Earnings Per Share (EPS), Market to Book Value of Assets (MBVA), Market to Book Value of Equity (MBVE), Capital Expenditure to Book Value Asset Ratio (CEP/BVA), and Capital Expenditure to Market Value of Assets Ratio (CEP/MVA) on the financial performance and stock prices of Property and Real Estate Companies listed on the IDX (Indonesia Stock Exchange). The data utilized for this study are annual reports obtained from each company, accessible on the website www.idx.go.id. The research employs the associative method with statistical analysis and panel data testing. The sampling method employed is purposive sampling, encompassing a total sample of 10 Property Companies listed on the IDX, and the data spans from 2016 to 2022. The study's findings reveal that Earnings Per Share (EPS), Market to Book Value of Assets (MBVA), Market to Book Value of Equity (MBVE), Capital Expenditure to Book Value Asset Ratio (CEP/BVA), and Capital Expenditure to Market Value of Assets Ratio (CEP/MVA) exert a positive and significant influence on the financial performance and stock prices of Property and Real Estate Companies listed on the IDX.

This community service aims as village development literacy for the Village Head, Village Officials and Village Youth. The workshop was held in Bandungan, Semarang Regency, and program implementation was carried out in 5 selected districts in Central Java Province. This activity is supported by LPPM ITB Semarang and Unicef, which is included in the Program for Handling Out of School Children in Central Java Province. Through the lecture method with visual media supporting devices and ending with a question and answer session, it is very effective in delivering material. This was shown by the enthusiasm of the participants in the question and answer interaction at the discussion forum.

The Industrial Revolution 4.0, which coincided with the presence of the Covid-19 pandemic, demanded that the world of education implement a different system. Classroom learning that involves students directly is now starting to switch to online learning. One of the learning media used is the Kahoot application. Interactive quizzes in this application can be implemented on an ongoing basis, including in face-to-face learning after the pandemic. Unfortunately, not all educational institutions know about the existence and benefits of this application. Sungai Putih High School, Kampar Regency, which is our service partner, is one of them. This dedication to introducing interactive learning through online media has had satisfactory results. From 38 respondents covering all classes and teachers at the high school, 100% of respondents felt interested in this learning and 96% of respondents agreed that learning evaluation using Kahoot was felt to be more effective than tests in general. For the continuity of implementation, the service team provided a Kahoot Usage Guide book which was designed directly by the service team.

This study intends to investigate the relationship between motivation and student learning outcomes. Impact measures in several studies that examined the relationship between the influence of motivation on student learning outcomes were analyzed using a meta-analysis procedure. Empirical data were collected using electronic search engines such as Google Scholar, Garuda Portal, and national journal URLs. The effect size is used as a starting point for data analysis. A systematic review of research findings in Indonesia's national e-journal was used, with 18 articles selected as a sample that met the criteria. The results of calculating the combined effect size obtained a p-value of less than 0.001 and an estimated value of 0.825. A meta-analysis study found that motivation and learning outcomes had a significant relationship, with the strength of the relationship in the high category. The variance of the studies analyzed is also very high, with I2 test results far exceeding 50%, implying that this study is heterogeneous, with a significant estimate value in the SMK subgroup category (estimated value 1,031) with a p-value of 0.001 and the SMP subgroup (estimated value 1.186) with a p-value of 0.005.

This study aims to determine the effect arising from Leverage, Dividend Policy and Working Capital Turnover in the company PT Indofood Sukses Makmur Tbk for the period 2012-2021. This study uses secondary data with a sample of 40 from the quarterly financial statements for 10 years belonging to PT Indofood Sukses Makmur Tbk. The data was obtained from the Indonesia Stock Exchange (IDX) website. The data that has been collected then goes through a prerequisite test, namely the Classic Assumption Test, Validity Test and Reliability Test before testing the hypothesis (multiple linear regression). The conclusion from the results of this study is that partially Leverage has a significant negative effect on company profitability. Dividend Policy Variable partially has a significant negative effect on the company's profitability. Partially, the Working Capital Turnover variable has no significant negative effect on the company's profitability. Leverage, Dividend Policy, and Working Capital simultaneously have a significant positive effect on the company's profitability, while the results of the coefficient of determination with a value of 0.726 which means that Leverage, Dividend Policy and Working Capital have an effect of 72.6% on the Company's Profitability and the remaining 27.4% influenced by other variables not included in this study.

This study aims to determine the effect of auditory and visual products on consumer purchasing decisions at local coffee shops in Semilir Semarang in 2021. The data in this study are primary data from questionnaires with 100 respondents at local coffee shops in Semilir Semarang, using accidental sampling. The analytical tool used is Multiple Linear Regression analysis. The results of the study show that Auditory and Visual Products have a significant positive effect on consumer purchasing decisions.

Suppliers play an important role in determining product quality, costs, product development, and access to finance for companies. If the company is less selective in choosing its suppliers, the costs incurred may become ineffective. This study aims to develop or design a supplier selection model for non-critical items in Fast Moving Consumer Good companies. In this study, a literature review approach is used by examining 10 journals that have discussed supplier selection procedures. Each journal used as a basis for this study also has different problem objects, models, variables, methods and results. The results of the cross-reference analysis are used to design a procedural model for selecting suppliers for non-critical items. The design of the non-critical item supplier selection model uses several criteria which will later be used as the basis for selecting non-critical item suppliers. From several journals that have been studied, several criteria are obtained that are in accordance with the company that the researcher will conduct research, and will later be re-elected according to the company's needs. This study aims to develop or design a supplier selection model for non-critical items in FMCG (Fast Moving Consumer Good) companies. By using the F-AHP (Fuzzy – Analytical Hierarchy Process) and TLS (Traffic Light System) model, companies that have never had a procedure for selecting suppliers for non-critical items can carry out this procedure so that in the future this procedure can become a standard in companies in terms of choosing supplier.

This study aims to determine the effect of financial and digital literatures and financial management on the performance of UMKM. This research used quantitative research using associative approach. Data collection was carried out by distributing questionnaires to 30 respondents of UMKN business actors in Cilacap District. The data analysis method used is quantitative analysis using Path Coefficients Test, Modes of Goodness Test, and Hypothesis Testing. Path coefficient value of the influence of financial management on the performance of UMKM. The results of the linear test and the output of column coefficients and T-tables are known that financial management has a significant effect on performance as seen from the p value 0.005 <0.05. Good and correct financial management will provide benefits and advantages for  UMKM  actors.  Several  related  institutions  can  provide  financial  and  digital  literatures training assistance. Training not only provides theoretical knowledge but also provides activities such as workshops and mentoring continuously.