bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence of Leadership Style on the Performance of Muhammadiyah Sinjai University Lecturer
Authors: Ilham  , Nurmiati  , Jumardi
Published: November 2024

The aim of this research is to analyze the influence of transformational and transactional leadership styles simultaneously on the performance of lecturers at Muhammadiyah University of Sinjai. The population is limited to a number of employees or individuals who have at least the same characteristics. Based on the definition above, the population for this study is all lecturers at Muhammadiyah University of Sinjai with a total of 40 people. The sample in this research is all lecturers at the Muhammadiyah University of Sinjai, because the population is small, the author uses a total sampling method, namely all lecturers are members who will be observed as a sample, because a large sample tends to give or is closer to the true value of the population or can be said to be the smaller the error (deviation from the population value). The variables used in this research are transformational leadership (X1), transactional leadership (X2) and performance variables (Y). The transformational leadership style has a positive and significant effect on the performance of lecturers at Muhammadiyah University of Sinjai. This can be seen from the t value of 7.219 which is greater than the t table value of 2.02439, so Ho is rejected and H1 is accepted, which means that the transformational leadership style has a significant effect on the performance of the lecturers. The correlation index value of 0.578 means that the Transformational Leadership Style variable influences lecturer performance by 57.8% and the remaining 42.2% is influenced by other factors. The application of a transactional leadership style has a significant influence on lecturer performance, this can be seen from the t value of 5.467, greater than the t table value of 2.02439. Thus, Ho is rejected and H1 is accepted, which means that the transactional leadership style has a significant effect on lecturer performance. The correlation index value is 0.440, which means that the transactional leadership style variable influences lecturer performance by 44% and the remaining 56% is influenced by other factors. Based on the results of the F test, the Fcount value of 25,995 is greater than the Ftable value of 3.25 with a significance value of 0.000, which is less than <0.05. Thus, the transformational leadership style and transactional leadership style variables simultaneously influence performance. Lecturer.
Adaptability and Livelihood Strategies of the Migrant Workers: A Review of Empirical Literature
Authors: Xuan Phu Pham , Vinh Thang Doan , Thi Van Mai , Bao Tran Ngo Thuy
Published: November 2024

Labor migration is regarded as one of the livelihood strategies of many households in rural areas. Although labor migration contributes positively to improving the livelihoods and living conditions of households, migrant workers also face many difficulties, challenges and risks at the place of immigration. This article summarizes the difficulties and challenges that migrant workers face at immigration, while also assessing the adaptability and livelihood strategies that the migrant workers choose when facing those negative factors.
Analysis of Workers Who Lost Jobs Due to Lay Off
Authors: Lestari Sugeng , Warka Made , Ruslie Sholikhin , Bagijo HimawanEstu
Published: November 2024

Living costs are undoubtedly necessary for every human being to meet his daily necessities. One must work in order to pay for living costs. You can work on your own initiative as well as on behalf of others. The following are the research's goals: What is the purpose of putting in place Job Loss Insurance (JKP) for employees who are laid off? (2) The idea of putting in place the Job Loss Guarantee (JKP), which offers employees who are terminated from their jobs legal protection (PHK). Research on document studies, namely via the use of different legal resources such statutes, legal theory, case studies, court rulings, and scholarly opinions (doctrine), is known as normative juridical research. Various techniques, including conceptual, philosophical, legislative, case, and comparative approaches, are employed in this research to address the problem in various countries. This conclusion highlights the need to improve and perfect the Job Loss Guarantee Program (JKP) so that it is more effective in providing protection for Outsourced Workers/Labourers who experience layoffs. It is recommended that the Government require User and Outsourcing Companies to regulate the Employment Relationship for a minimum of 2 years and revise the contribution period requirements in the regulations. If improvements are made, the benefits of JKP will be felt by outsourced workers/laborers who have experienced layoffs.
An Empirical Investigation of the Nexus Among Foreign Portfolio Investment, Stock Market Growth and Domestic Investment in Nigeria
Authors: Damkor Matthew Aondohemba , Okpe Isa , Akighir David Terfa
Published: November 2024

The study investigated the nexus among foreign portfolio investment, stock market growth and domestic investment in Nigeria from 1986 to 2022 using annual time series data. The study was anchored on the theoretical foundations of the foreign capital movement and the Tobin’s Qtheory of investment. The employed the Structural Vector Autoregressive (SVAR) to analyze the data. Findings of the study revealed that, there is a positive pass-through effect of foreign portfolio investment to domestic investment through the stock market growth in Nigeria. The study concluded that, foreign portfolio is important in stimulating domestic investment in Nigeria. Based on these findings, the study made the following recommendations. The government through the ministry of trade and investment in conjunction with the Central Bank of Nigeria (CBN) and the Security and Exchange Commission (SEC) should create market access by liberalizing the capital market by expanding the shareholdings of the foreign investors beyond the existing 10% to attract more inflows of foreign portfolio investment. Second, to retain foreign portfolio investment and avoid frequent investment rebalancing in the stock market, the government through the National Assembly should enact laws that ensure transparent regulatory framework in the stock market in the country. This would enable foreign investors to have a clear understanding of the rules and procedures governing their investments, as well as the regulatory framework in which they operate. This requires strong legal frameworks that safeguard investors’ rights, ensure fair treatment, and provide dispute resolution mechanisms.
Sustainable Procurement Adoption and the Performance of Horticulture Exporting Firms in Kenya
Authors: Kariuki Jane Njeri , Elizabeth Dr Wachiuri , Nyambura Miriam Thogori
Published: November 2024

In Kenya, horticulture is the second-biggest foreign exchange earner after the tea sector, contributing immensely to economic development. Despite its economic importance, the sector continues to encounter challenges as farmers’ produce continues to be rejected in the global market and attributed to non-compliance sustainability issues along the supply chain. Hindering its total contribution to the economy. Consumers in the European market demand strict compliance with sustainability in the Supply Chain. Therefore, the study investigated the relationship between adopting a sustainable supply chain and firm performance. The study was grounded on the Diffusion of innovations theory, guided by a positivist research philosophy utilizing a cross-sectional descriptive research design. The study population was 645 members of the Registered Horticulture Exporters registered with the organization as of 2020. A stratified random sample was used to pick the sample unit, with a sample population of 242 units, as guided by the formula of Gall et al. (2014). The results found that the adoption of sustainable procurement practices has a significant impact on the performance of horticulture exporting firms in Kenya. The study recommends adopting a sustainable purchasing policy, sourcing, and sustainable supplier development to enhance the performance of horticulture exporting firms in Kenya. The findings have implications for policy development, sustainable procurement strategies, and practices.
Adoption of Sustainable Production on the Performance of Horticulture Exporting Firms in Kenya.
Authors: Kariuki Jane Njeri , Elizabeth Dr Wachiuri , Nyambura Miriam Thogori
Published: November 2024

Despite horticulture exports being the second-biggest foreign exchange earner after tea in Kenya, the sector’s performance has dwindled, with farmers’ produce often rejected in the global market. Sustainable production has been identified and adopted as a potential strategy to enable the performance of horticulture exporting firms in Kenya. Since extant studies have yet to examine the effect of adopting sustainable production on the performance of horticulture exporting firms in Kenya, this study filled this research gap. Specifically, this study examines the effect of sustainable production practices, including cleaner production, sustainable product design, and sustainable packages, on the performance of horticulture exporting firms in Kenya. The study is guided by the resource orchestration theory (ROT); it adopted a positivist research paradigm and a cross-sectional research design. A sample of 242 was obtained from the study population of the 645 members of Registered Horticulture Exporters. The target respondents were the Supply Chain Officer, the Operation Officer, or the Logistics Officer. Data was collected using observation checklists, interviews, and semi-structured questionnaires. Inferential statistics using linear regression and correlation analysis were used to analyse data. The results found that the adoption of sustainable production practices has a significant impact on the performance of horticulture exporting firms in Kenya. The study recommends that managers of horticulture firms and other stakeholders leverage cleaner production, sustainable product design, and sustainable packaging to enhance the performance of horticulture exporting firms in Kenya. These findings affect policy formation and decision-making for effective performance management for farmers, exporting firms, and economic development.
Evacuation of the Inpatient Department of a Medical Facility
Authors: Zelenak Michal
Published: November 2024

Evacuation is one of the ways to protect the population and is a set of principles and organizational measures ensuring the transfer of people, animals and material resources from the area at risk of emergency to another territory. In the event of an emergency, the evacuation may include not only inhabited agglomerations and industrial facilities, but also medical facilities, where patients who depend on the care of medical staff and the supply of medical services increase the complexity of the situation. The evacuation of the medical facility itself represents a complex of partial evacuation plans and standard procedures for individual departments of the medical facility. The article presents one of the possibilities of preparation and evacuation of a selected inpatient department of a medical facility.
Assistive Technology Integration for Students with Speech and Language Impairments: A Mixed Methods Study
Authors: Cunningham Wali Fard , Zhang Ke
Published: November 2024

This study examines a large urban public school (UPS) district in the Midwest USA that has faced bankruptcy, state takeover of public education, and financial scams. As a result, UPS's capacity to integrate assistive technologies (AT) has been limited and is declining. This study investigates the UPS teachers' technological pedagogical content knowledge (TPACK) and how the UPS teachers integrate AT for students with speech and language impairments(SLI). This article details the UPS special education and general education teachers' TPACK across grade levels, content, and classroom settings. This article reports the UPS teachers' current integration of AT, instructional practices, implementation, and experiences integrating AT in the classroom for students with SLI. 94 UPS teachers participated in the online survey. The study found no significant differences in the UPS teachers' TPACK across classroom settings or grade levels. Results show no significant differences between the UPS teachers' TPACK in mathematics, social studies, science, or literacy content knowledge. The study revealed that UPS teachers utilize various AT tools, from basic tools like [calculators, audio/video recording devices, and voice amplifiers] to more advanced tools like [iPads, SmartBoards, and computers], for diagnostic, formative, and summative assessments. Results indicate that the UPS teachers utilize similar instructional methods across content and express mostly positive experiences integrating AT for SLI students.
Optimizing shutdown and startup procedures in oil facilities: A strategic review of industry best practices
Authors: Emmanuella Onyinye Nwulu  , Tari Yvonne Elete  , Adeoye Taofik Aderamo  , Andrew Emuobosa Esiri  , Kingsley Onyedikachi Omomo
Published: November 2024

Shutdown and startup procedures in oil facilities are critical processes that significantly impact operational efficiency, safety, and environmental compliance. This strategic review examines industry best practices for optimizing these procedures to minimize downtime and enhance productivity. Effective shutdown and startup operations are essential not only for maintaining equipment integrity but also for ensuring the safety of personnel and compliance with regulatory standards. The complexities of oil facility operations necessitate a thorough understanding of the interdependencies between various systems and processes during these phases. This review identifies key factors that contribute to successful shutdown and startup procedures. First, comprehensive planning and preparation are vital. Establishing a detailed shutdown/startup plan that outlines specific tasks, timelines, and responsibilities helps mitigate risks associated with unplanned events. This includes conducting risk assessments and ensuring that all personnel are adequately trained to execute their roles effectively. Second, the implementation of advanced monitoring and control technologies is crucial. Utilizing automation and real-time data analytics allows for precise control over processes during shutdowns and startups, enabling quicker responses to anomalies. This technological integration can significantly reduce the time required for these operations while enhancing safety measures. Third, collaboration and communication among teams are essential components of successful operations. Encouraging a culture of open communication fosters teamwork and ensures that all stakeholders are aligned throughout the shutdown and startup phases. Regular debriefings and feedback sessions post-operations also play a vital role in continuous improvement. In conclusion, optimizing shutdown and startup procedures in oil facilities is paramount for enhancing operational efficiency and safety. By adopting industry best practices, including thorough planning, leveraging technology, and promoting effective communication, organizations can achieve significant improvements in their operational performance. This review serves as a resource for industry stakeholders aiming to refine their shutdown and startup strategies to achieve operational excellence.
Keywords: Shutdown Procedures, Startup Procedures, Oil Facilities, Operational Efficiency, Safety, Environmental Compliance, Risk Assessment, Automation, Real-Time Data Analytics, Industry Best Practices.
Reconstruction of 3D precipitation measurements from FY-3G MWRI-RM imaging and sounding channels
Authors: Yang Yunfan , Han Wei , Sun Haofei , Li Jun , Yan Jiapeng , Gao Zhiqiu
Published: November 2024

Abstract. FengYun 3G satellite (FY-3G), China’s first precipitation measurement satellite, was launched on April 17, 2023. FY-3G carries an advanced multi-channel microwave radiance imager-rainfall measurement (MWRI-RM) system, which, compared to the previous GPM/GMI, includes more sounding channels. Additionally, a Ka/Ku-band dual-frequency precipitation measurement radar (PMR) onboard FY-3G provides 3D observations of severe precipitation systems. Due to the high cost and hardware limitations of precipitation radars, most precipitation-affected satellite observations rely on passive data. Deep learning methods have become effective tools to bridge these two types of observations. In this study, we proposed a deep convolutional neural network (CNN) to reconstruct PMR-Ku reflectivity profiles (VPR) based on MWRI-RM multi-channel radiances across different precipitation scenarios and analyzed the effects of dual oxygen absorption sounding channels and polarization differences (PD) on reconstruction outcomes. Experiments showed that dual oxygen absorption sounding channels improved VPR accuracy, especially over land, reducing RMSE by 17.42 %. Including PD further enhanced accuracy, reducing RMSE by 23.54 %, while also demonstrating excellent capability in precipitation identification, achieving an F1 score of 0.904. Applying the models to Typhoon Khanun and the extreme precipitation event in Beijing further demonstrated the benefits of dual oxygen sounding channels and PD, even for reflectivity contaminated by ground clutter.
Development of a portable laser-flash photolysis Faraday rotation spectrometer for measuring atmospheric total OH reactivity
Authors: Fang Bo , Wei Nana , Zhao Weixiong , Yang Nana , Zhou Hao , Zhang Heng , Li Jiarong , Zhang Weijun , Lu Yanyu , Zhu Zhu , Liu Yue
Published: November 2024

Abstract. Quantitative measurements of atmospheric total OH reactivity (kOH') provide crucial insights into atmospheric photochemistry. However, widespread application of total OH reactivity measurements is challenging due to insufficient equipment and the complexity of existing instrumentation. In this work, we report the development of a portable laser-flash photolysis Faraday rotation spectroscopy (LP-FRS) instrument for real-time and in-situ measurement of kOH'. To achieve efficient overlapping between the pump and probe laser and realize a long effective absorption path length, thus enabling high sensitivity measurement, a specific Herriott-type pump-probe optical multi-pass cell was designed with an overlapping factor of up to 75.4 %. The instrument’s optical box dimensions were 130 cm × 40 cm × 35 cm. The obtained efficient absorption path was ~ 28.5 m in a base length of 77.2 cm. The kOH' detection precisions of the LP-FRS instrument were 2.3 s-1 and 1.0 s-1 with averaging times of 60 s and 300 s, respectively. The kOH' measurement uncertainty was evaluated to be within 2 s-1. Field measurement was performed, and the difference between the measured kOH' and the model simulated from the measured reactive species was analysed. The developed portable LP-FRS instrument extends the measurement methods of atmospheric total OH reactivity, and has certain advantages in cost, operation, and transportation, which will play an increasingly important role in future atmospheric chemistry research.
Reconciling the strategic goals of irrigated food production, energy production with environmental flows under water transfer project in the Yellow River Basin
Authors: Huang Yichu , Feng Xiaoming , Zhou Chaowei , Fu Bojie
Published: November 2024

Abstract. Reconciling the nexus relationship between water, energy and land (WEL) is critical for achieving sustainable development. Pathways to reconcile the WEL nexus in river basins remain unclear due to the lack of comprehensive assessments. In this paper, we provide a quantitative investigation using an engineering-economic optimization method to explore how and to what extent the water transfer project reconciles irrigated food production, energy production with environmental flows in the Yellow River Basin. The results show that, maintaining environmental flows at 30 % of the river runoff will cause water for irrigation to be drained by energy production. Water transfer (~2.8 km3/year) mitigates such trade-offs, decreasing water for the energy sector by 1.8 % (0.14 km3/year), and replenishing water for agriculture by 0.5 % (0.09 km3/year). Groundwater use decreases by 0.8 % (0.13 km3/year). Water transfer also builds synergies between water consumption and the economic costs of energy production, with these co-benefits in the lower reaches spilling over to the upper and middle reaches. Compared to irrigated food production, the operational costs of energy production are sensitive to water policies, implying that energy sector transformation is critical to sustainable pathways for reconciling the WEL nexus in the Yellow River Basin. Our study underscores the role of water transfer in alleviating water conflicts within the WEL nexus. Moreover, it provides valuable insights into transformative technological pathways toward a sustainable future in the Yellow River Basin and beyond.
Simulating Ips typographus L. outbreak dynamics and their influence on carbon balance estimates with ORCHIDEE r8627
Authors: Marie Guillaume , Jeong Jina , Jactel Hervé , Petter Gunnar , Cailleret Maxime , McGrath Matthew J. , Bastrikov Vladislav , Ghattas Josefine , Guenet Bertrand , Lansø Anne Sofie , Naudts Kim , Valade Aude , Yue Chao , Luyssaert Sebastiaan
Published: November 2024

Abstract. New (a)biotic conditions resulting from climate change are expected to change disturbance dynamics, such as windthrow, forest fires, droughts, and insect outbreaks, and their interactions. These unprecedented natural disturbance dynamics might alter the capability of forest ecosystems to buffer atmospheric CO2 increases, potentially leading forests to transform from sinks into sources of CO2. This study aims to enhance the ORCHIDEE land surface model to study the impacts of climate change on the dynamics of the bark beetle, Ips typographus, and subsequent effects on forest functioning. The Ips typographus outbreak model is inspired by previous work from Temperli et al. (2013) for the LandClim landscape model. The new implementation of this model in ORCHIDEE r8627 accounts for key differences between ORCHIDEE and LandClim: (1) the coarser spatial resolution of ORCHIDEE; (2) the higher temporal resolution of ORCHIDEE; and (3) the pre-existing process representation of windthrow, drought, and forest structure in ORCHIDEE. Simulation experiments demonstrated the capability of ORCHIDEE to simulate a variety of post-disturbance forest dynamics observed in empirical studies. Through an array of simulation experiments across various climatic conditions and windthrow intensities, the model was tested for its sensitivity to climate, initial disturbance, and selected parameter values. The results of these tests indicated that with a single set of parameters, ORCHIDEE outputs spanned the range of observed dynamics. Additional tests highlighted the substantial impact of incorporating Ips typographus outbreaks on carbon dynamics. Notably, the study revealed that modeling abrupt mortality events as opposed to a continuous mortality framework provides new insights into the short-term carbon sequestration potential of forests under disturbance regimes by showing that the continuous mortality framework tends to overestimate the carbon sink capacity of forests in the 20- to 50-year range in ecosystems under high disturbance pressure compared to scenarios with abrupt mortality events. This model enhancement underscores the critical need to include disturbance dynamics in land surface models to refine predictions of forest carbon dynamics in a changing climate.
Brief communication: From modelling to reality – flood modelling gaps highlighted by a recent severe storm surge event along the German Baltic Sea coast
Authors: Kiesel Joshua , Wolff Claudia , Lorenz Marvin
Published: November 2024

Abstract. In October 2023, the Baltic Sea coasts of Germany and Denmark experienced a severe storm surge, predominantly impacting the German state of Schleswig-Holstein and parts of southern Denmark. The surge led to extensive flooding in cities like Flensburg and Schleswig, causing the breaching of at least six (regional) dikes and causing over EUR 200 million in damages in Schleswig-Holstein. By chance, the peak water levels of this storm surge aligned well with those of recent hydrodynamic flood modelling studies of the region. This rare coincidence offers crucial insights for our understanding of flooding impacts, flood management, and modelling. By comparing those studies to the real-world example using extensive media reports, we aim to extract key insights and identify gaps to be tackled in order to improve flood risk modelling in the Baltic Sea region and beyond.
Estimating the technical wind energy potential of Kansas that incorporates the effect of regional wind resource depletion by wind turbines
Authors: Minz Jonathan , Kleidon Axel , Mbungu Nsilulu T.
Published: November 2024

Abstract. Energy scenarios require realistic estimates of technical wind energy potentials – estimates for how much electricity can be generated by wind turbines given a certain level of deployed capacity within a region. These are typically obtained using observed wind speeds, neglecting the depletion of the wind energy resource with increasing deployment at the regional scale. Here, we use the kinetic energy budget of the atmosphere (KEBA) approach to evaluate the importance of this resource depletion effect for the technical potential of Kansas, USA. To do so, we first apply the KEBA approach to a previously conducted set of numerical simulations with the Weather Research Forecasting (WRF) model. This set simulated the resource depletion effect for a range of different levels of wind turbine deployments within Kansas, which we use to test the KEBA approach. We specifically test the approach for nighttime and daytime conditions to capture the different mixing regimes of the atmospheric boundary layer. We find that KEBA can adequately capture the effect for both settings. We then extend our analysis by using ERA-5 forcing to the climatological scale. We find that this resource depletion effect increases almost linearly with the level of wind turbine deployment. Compared to previously published estimates for the technical potential for Kansas, the resource depletion effect lowers capacity factors by a third to a half. Since this resource depletion effect increases with installed capacity within a region, it is policy relevant even at relatively low deployment levels.
An Examination of Tax-Deductible Donations Made by Individual Australian Taxpayers in 2021-22: ACPNS Working Paper No. 78
Authors: Mcgregor-Lowndes Myles , Balczun Marie , Williamson Alexandra
Published: November 2024

This study analyses published Australian Taxation Office (ATO) data and represents the extent and characterisitcs of tax-deductible donations made and claimed by Australian taxpayers to Deductible Gift Recipients (DGRs) at Item D9 Gifts or Donations in their individual income tax returns for the 2021–22 income year.
Cinema Aesthetics: Experiential Design and Transformations in Contemporary Cinema Exhibition
Authors:   , Baudinette Corey
Published: November 2024

This doctoral research examines the many challenges facing global cinema exhibition. Industry analysis is expanded through consideration of the role played by architectural, commercial and social elements to deepen understandings of the shared experience of cinema-going. The cinema industry faces constant challenges, but the recent upheavals from a changing media and social landscape has impacted the cinema business in significantly new ways. The research findings point to the opportunities from experiential design and aesthetic innovation in cinema spaces as the means for sustaining commercial viability amidst ongoing challenges from technological and societal changes.
Enhancing Bayesian Small Area Level Methods with Applications in Health
Authors:   , Hogg James
Published: November 2024

This thesis developed new Bayesian models to enhance the spatial and temporal resolution of health estimates at the small area level in Australia. It introduced a novel approach for modelling sparse survey data, which was applied nationally to derive detailed cancer risk factor estimates. These estimates were then summarised into Australia’s first area-level cancer risk factor indices. Additionally, the thesis explored the application of Bayesian models to burden of disease studies, a relatively unexplored area. The statistical innovations and applications provided in this thesis enhance our understanding of health disparities in Australia.
PENGARUH KEPERCAYAAN DIRI TERHADAP HASIL BELAJAR MATEMATIKA
Authors: Amanda Salsabilah Dwi , Fahrunnisa Tiara , Mardiati Mardiati
Published: November 2024

In this research, the aim is to determine the effect of self-confidence on student exam results. The type of research used is ex post quantitative. The sample in this research was class XII students. Data collection techniques use questionnaires and semester MID exam results. From the results of the analysis carried out using the ex post facto method, it can be seen that there is a relevant influence on self-confidence regarding the results of the class XII mathematics exam at Delisha Private Vocational School. This can be seen from the results obtained with the value = 2.624 > = 2.100 (significance level 0.017). Based on this explanation, it is hoped that students can have self-confidence and positive study habits, as well as improve their learning outcomes. Furthermore, teachers are expected to make learning more enjoyable than before.
THE RELATIONSHIP BETWEEN SOCIAL MEDIA ADDICTION AND PERSONALITY TRAITS AMONG ADOLESCENTS / ՍՈՑԻԱԼԱԿԱՆ ՑԱՆՑԵՐԻՑ ԿԱԽՎԱԾՈՒԹՅԱՆ ԵՎ ԱՆՁՆԱՅԻՆ ԳԾԵՐԻ ՓՈԽՀԱՐԱԲԵՐԱԿՑՈՒԹՅՈՒՆԸ ԴԵՌԱՀԱՍՆԵՐԻ ՇՐՋԱՆՈՒՄ
Authors: ISKAJYAN ARMINE
Published: November 2024

The article examines the relationship between adolescent social media
addiction and personality traits. The research is highly relevant as social media is
an integral part of modern people's daily lives. Although the Internet has numerous
advantages, such as communication, information sharing, and access to
educational resources, excessive use can lead to addiction. In this regard,
teenagers are particularly vulnerable due to their developmental stage.
A total of 165 teenagers aged 12-17 participated in the research. Tests and
psychological interview methods were applied, and mathematical-statistical
analysis was performed by calculating the Pearson linear correlation coefficient.
The study found that social media addicts have higher levels of neuroticism
and openness to experience than non-addicts. However, those with social media
addiction had lower levels of extraversion, agreeableness, and conscientiousness
than those without.
Thus, the research shows a strong correlation between social media
addiction and personality traits. The research has practical significance. The
results can be used for further research and the prevention of addiction to social
media.
ԱՌՈՂՋՈՒԹՅԱՆ ՀԱՄԱՊԱՐՓԱԿ ԱՊԱՀՈՎԱԳՐՈՒԹՅԱՆ ՀԱՄԱԿԱՐԳԻ ԱԶԴԵՑՈՒԹՅՈՒՆՆԵՐԸ ՀՀ ԲՆԱԿՉՈՒԹՅԱՆ ԵԿԱՄՈՒՏՆԵՐԻ ՆԵՐԱՌԱԿԱՆ ԲԱՇԽՄԱՆ ՈՒ ԱՆՀԱՎԱՍԱՐՈՒԹՅԱՆ ՀԱՂԹԱՀԱՐՄԱՆ ՀԱՄԱՏԵՔՍՏՈՒՄ / THE EFFECTS OF THE UNIVERSAL HEALTH INSURANCE SYSTEM IN THE CONTEXT OF INCLUSIVE DISTRIBUTION OF INCOME OF THE RA POPULATION AND OVERCOMING INEQUALITY
Authors: MARGARYAN ANDRANIK
Published: November 2024

The purpose of the article is to discuss the possible social consequences of the
implementation of the universal health coverage (UHC) system in the Republic of
Armenia from the point of view of ensuring inclusiveness and to evaluate their possible
effects on the incomes of different strata of the population.
The problems of the research are related to the study of the issues of both
quantitative and qualitative assessment of the effects caused by the introduction of UHC
and the development of relevant recommendations for reforms in that context.
During the research, statistical, inductive and deductive, analytical, simulation
analysis methods were used.
According to the results of the research, the introduction of UHC in the form
proposed by the draft law will significantly increase the tax burden of taxpayers included
in the lowest income groups of the population, in some cases even reaching up to the
entire income. Within the framework of the research, it was substantiated that the Gini
coefficient of income inequality before taxation in the Republic of Armenia is 0.5724, after
taxation, taking into account only income tax, 0.5722, with the effects of other regressive
components of labor taxation: social and stamp fees, 0.5911. And here, if we take into
account the impact of the introduction of the Universal health coverage rate, the Gini
coefficient after taxation will be 0.6088, which means that the inequality from the
viewpoint of income distribution will be deepened even more with the introduction of this
framework of the system. In order to solve the problems, identified within the framework
of the research, it is proposed to introduce a progressive scale of mandatory medical
insurance premiums, as well as to provide somewhat different mechanisms of state copayments (subsidies) for socially vulnerable and low-income groups of the population.
KEY TYPES OF AUTOMATED INNOVATIVE PAYMENT SYSTEMS AND THEIR SIGNIFICANCE IN THE BANKING SECTOR / ԱՎՏՈՄԱՏԱՑՎԱԾ ՆՈՐԱՐԱՐԱԿԱՆ ՎՃԱՐԱՅԻՆ ՀԱՄԱԿԱՐԳԵՐԻ ՀԻՄՆԱԿԱՆ ՏԵՍԱԿՆԵՐԸ ԵՎ ԴՐԱՆՑ ԴԵՐԸ ԲԱՆԿԱՅԻՆ ՀԱՄԱԿԱՐԳՈՒՄ
Authors: NUSHIKYAN INESA
Published: November 2024

The main purpose of the article is to study the main types of automated
payment systems, their application, transactions and further development
stages in the banking sector.
To achieve the goal, the following tasks were set: to study the process of
implementing automated processes in the bank, to understand the main target
groups and, based on that, to develop measures to expand the possibilities of
using automated payment systems.
In order to nvestigate the primary types of automated payment systems
and their roles within the banking sector, the study employed the following
research methods: deductive method, inductive method, analysis method,
graphical method.
The main conclusion of the research is that considering the complex
external environment and strong competition, banks need to continuously track
developments in the banking services sector and utilize automated tools. This
approach can contribute to the effective and stable growth of the banking
system. Over time, the stable development of automated payment systems
could boost economic stability, enhance customers' media literacy, and
improve their financial and economic skills. Such advancements could pave the
way for updating banking resources and potentially attract additional financial
investment.
Comparison of Rigid Pavement Planning Using PD T-14-2003 and NAASRA 1987 Methods in Industrial Areas
Authors: Krisdiyanto Aris , Dewi Kemmala , Azis Faruk
Published: November 2024

As vital infrastructure, roads are a means of transportation access and function as a distribution route for goods and services. Road pavement plays a crucial role in highway construction, necessitating proper planning according to Indonesian standards and planning criteria to ensure smooth land transportation and provide comfort and safety for its users. This study aims to provide information on road conditions, drainage dimensions, and construction costs. Planning is crucial in every road construction design, particularly for rigid pavement, based on survey data collected from the road section. Numerous methods exist for calculating the design value of rigid pavement. We use the Pd T-14-2003 method and the NAASRA 1987 method (National Association of Australian State Road Authorities) to plan rigid pavement thickness in the industrial area of PT. Bukit Muria Jaya Kudus. The Pd T-14-2003 method yielded a JSKN of 4x107 and a CBR of 35% for the subgrade, resulting in a plate thickness of 150 mm. While the Naasra 1987 planning method achieved a JSKN of 6x107 and a CBR of 35% for the base soil, a plate thickness of 160 mm was obtained with a value of K = 80 kPa/mm. The reinforcement planning using the Pd T-14-2003 and Naasra 1987 methods involves longitudinal reinforcement D10 mm at a distance of 150 mm and transverse reinforcement D10 mm at 250 mm. The drainage dimensions at the cross-section location are width x height (1 m x 1 m), and the guard's height is 0.2 m.
News Popularity Prediction in West Sumatera Using Autoregressive Integrated Moving Average
Authors: Aminsyah Ansharulhaq , Nurdin Nurdin , Yunizar Zara
Published: November 2024

The increasing public interest in reading online news is undoubtedly a challenge for news portals as online news providers. Therefore, this research was conducted to predict news popularity in West Sumatra through the FajarSumbar.com news portal using the Autoregressive Integrated Moving Average (ARIMA) model. This research aims to develop a forecasting model that can assist in estimating the popularity of each news category so that news portals can devise more effective content strategies. The data used in this study includes the number of monthly news impressions from March 2021 to June 2024, which are grouped into various categories such as Religion Culture, Industrial Economics, Criminal Law, etc. Using the ARIMA method, which can handle time series data and overcome data non-stationarity problems through differencing and the use of grid search in optimization to find the best parameters based on the lowest evaluation metric. The results show that the ARIMA model can provide reasonably accurate predictions, although the level of accuracy varies between categories. The Mean Absolute Percentage Error (MAPE) values obtained are as follows: Religion Culture 26%, Industrial Economy 29%, Criminal Law 29%, Health 40%, Sports 38%, Tourism Entertainment 26%, Education 27%, Government Politics 31%, Social Environment 27%, and Technology 51%. The Technology and Health news categories show higher error rates than others, while Religion Culture and Tourism Entertainment have better accuracy rates. Thus, the ARIMA model can be used to predict future trends in news popularity, helping editors plan content strategies that are more relevant and interesting to readers. However, improvements are needed for news categories that have high variability.
The Role of Principal Leadership Management as a Driving Force in Implementing the Independent Curriculum Using AI
Authors: Yuni Sri , Saryanto Saryanto , Rejokirono Rejokirono
Published: November 2024

In the millennial era, characterized by constant change and progress, schools that thrive possess specific qualities and characteristics. Education not only functions as a place to transfer knowledge but also as a place to develop students' skills, character, and critical thinking abilities. In this increasingly complex world, educational institutions must adapt curricula and teaching methods that are relevant and able to meet students' diverse needs. Schools that innovate and provide captivating learning experiences will be better able to attract the attention of students and parents. In addition, educational institutions must realize the importance of building an identity and characteristics that distinguish them from other schools. This includes developing superior programs, adequate facilities, and a positive and supportive learning environment. This study investigates the role of principal leadership in implementing the Merdeka Curriculum while integrating artificial intelligence (AI) in a kindergarten/early childhood education environment. Through a qualitative approach, this study explores the experiences of a principal and staff at TK IT Tunas Mulia. Findings indicate that principals play a critical role in fostering a culture of innovation and adaptation to AI, providing the necessary training and resources for teachers to utilize AI tools effectively, and collaborating with stakeholders to ensure successful implementation. However, the study has identified challenges such as limited teacher proficiency in AI and the need for more comprehensive AI-integrated curriculum materials. While principal leadership plays a critical role, the study concludes that further support and professional development are necessary to fully harness the potential of AI in improving early childhood education.
Exploring The Role of Artificial Intelligence in Library Management at Public Primary School
Authors: Lestari Dwi Makarti Amrih , Saryanto Saryanto , Rejokirono Rejokirono
Published: November 2024

The rapid development of technology has brought significant changes in various areas of life, including the world of education. AI is a rapidly developing technology with enormous potential to improve the efficiency and effectiveness of resource management. Library management, which plays a crucial role in supporting teaching and learning activities in schools, employs AI in education. However, the increasing challenges in managing collections, the demand for rapid and accurate services, and the need for effective data management have increased the need for innovation in library management. This study aimed to explore the application of artificial intelligence (AI) in library management at SDN Piyaman 2 Wonosari, emphasizing enhancing operational efficiency, accessibility, and service quality. This study employs a qualitative descriptive approach, collecting data through interviews, observations, and questionnaires from students, teachers, and library staff. The researchers will then process, analyze, and discuss the collected data to conclude. The study results indicate that using artificial intelligence (AI) can improve library operational efficiency by reducing borrowing time, returning each book, and searching from five minutes to one minute. In addition, AI also increases user satisfaction, with an average increase from 60% to 85%. Despite the technical challenges and user adjustments, the results of this study indicate that AI has enormous potential to improve the effectiveness and efficiency of school libraries. Other schools can use this study as a model to implement AI technology in library management, making it more modern and responsive to user needs.
Implementation of Committee Partnerships on AI-Based School Policies at Public Junior High School
Authors: Mulatiwi Tri , Supriadi Didi , Mulyanto Rahmat
Published: November 2024

In the increasingly sophisticated digital era, artificial intelligence (AI) technology has significantly changed various fields, including education. In Indonesia, secondary schools have begun implementing AI technology to improve the quality of teaching and school management. Implementing this technology includes using AI-based systems for personalized learning, student data analysis, and more efficient school administration management. Implementing AI-based policies requires a strong partnership between the school committee and the school. This includes monitoring technology implementation, providing teacher training, and involving parents in the technology-based learning process. This study aims to identify and analyze the role of partnerships between school committees and schools in implementing AI-based policies at SMP Negeri 3 Tanjungsari. To ensure effective policy implementation, various stakeholders, including school committees, must support advancing AI technology in education. This study employs a qualitative approach, incorporating a case study method. It obtained the collected data through in-depth interviews, participant observation, and document analysis. The study results indicate that strong partnerships between school committees and schools play a significant role in supporting the implementation of AI policies. However, some challenges are still faced, such as the committee's lack of understanding of AI technology. This study also offers strategies to improve the effectiveness of these partnerships, including training and enhancing communication between the committee and the school. These findings significantly contribute to developing educational policies that are more adaptive to technological advances.
Exploring of Canva in Improving Writing Skills in English Subjects
Authors: Retnowati Dwi , Mulyanto Rahmat , Purnami Sri
Published: November 2024

The advancement of technology and information has brought significant changes in various aspects of life, including education. One of the impacts of globalization is the advancement of technology and information. Globalization cannot be separated from the rapid development of information and communication technology, the primary supporting factor. Appropriate technology can increase student learning motivation, increase interaction between students and teachers, and facilitate access to information. Educators must consider technology in learning. To present engaging and innovative education, teachers are required to follow technological developments. The intention is to use technology to facilitate the learning process. This study aims to describe the implementation of Canva and analyze its impact on improving writing skills in English subjects at SMP PGRI Saptosari. This study uses a qualitative descriptive method. Data was obtained through observation, questionnaire completion, and documentation. Observations were carried out twice. The study's results indicate improved writing skills, particularly in creating procedure texts for English learning. The obtained data concluded that the creativity assessment indicator increased from the previous average of 64.68 to 85.10. The score jumped from the lesser to the excellent category by 20.42 points. The second increase in diction or word choice resulted in an average value increase from 61.31 to 78.4, moving from the less category to the sufficient one. The last is in the organizational text, which was initially 71.81 and increased to 79.40.
Student Literacy Through Library Visits and Gemini AI Programs at SD Negeri Potrobangsan 2
Authors: Yarmini Yarmini , Supriadi Didi , Purnami Sri
Published: November 2024

People often say that literacy is the foundation for a person's lifelong education. Improving students' literacy skills is one of the main focuses in today's education world. Literacy, which includes reading, writing, and understanding information well, is an essential foundation in the learning process at all levels of education. Good literacy skills help students succeed academically and equip them with the critical and analytical thinking skills needed in everyday life. We need to consider literacy development because it is a fundamental ability that every individual must possess to navigate life in the future. This study aims to develop a strategy to improve the literacy of fifth-grade students at SD Negeri Potrobangsan 2 through a combination of library visits and the Gemini AI program. We expect library visits to cultivate students' interest in reading physical books, while the Gemini AI program serves as an interactive digital literacy medium to enhance students' learning experiences. This research approach uses a qualitative method with observation, in-depth interviews, and focus group discussions (FGD) as the primary instruments for data collection. The study results indicate that integrating traditional literacy learning with digital technology can improve students' literacy skills holistically. Students showed increased reading comprehension, higher involvement in literacy activities, and mastery of digital literacy skills. Implementing this strategy also increased motivation among students to read and utilize the library optimally. Therefore, elementary schools can apply this strategy as an effective literacy learning model.