bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH EFFECTIVENESS DAN INTUITIVENESS E-WALLET GOPAY TERHADAP MINAT PENGGUNAAN APLIKASI GOJEK BAGI KALANGAN MAHASISWA
Authors: Tarigan Arihta , Frangoulis Alfredo
Published: March 2024

Abstract- This study aims to investigate the impact of the effectiveness and intuitiveness of GoPay on the interest in using the Gojek application among university students, particularly those at Bunda Mulia University. Data were collected through an online survey involving a sample of 100 students, selected based on the Slovin formula and representing the total number of students at Bunda Mulia University. The results of the data analysis using multiple linear regression showed that the effectiveness and intuitiveness of GoPay have a significant positive influence on the interest in using the Gojek application. These findings provide a better understanding of the factors influencing the acceptance and usage of the Gojek application among students, serving as a guide for the development of future app-based payment services.

Keywords: Effectiveness; E-Wallet; Fintech; Intuitiveness; Interest
MEASUREMENT OF ISO 9001:2008 IN PUSDATIN PUPR INDONESIA
Authors: Andini Nurullina , Wella Wella
Published: March 2024

Abstract -  The issue at hand is to the implementation of the quality standard outlined in ISO 9001:2009, specifically focusing on clauses 4 through 8. In order to obtain the desired outcome, a comprehensive interview was conducted with the director of the department. Additionally, a total of 51 questionnaires were distributed among the 52 staff members, and relevant documents were carefully reviewed. The evaluation was conducted with the Likert Scale, and the final outcome was determined based on the maturity level. The implementation of clauses 4 to 8 of the ISO 9001:2008 quality standard at PUSDATIN has been successfully executed, achieving a level 4 rating (Managed and Measurable). PUSDATIN must enhance its capacity in order to attain the highest level of maturity, namely level 5. To get a level 5 rating, PUSDATIN should consider implementing ISO 9001:2008 standards. This would ensure that the required product quality is consistently maintained to meet customer expectations. Additionally, PUSDATIN can enhance its capabilities by recruiting professionals with expertise in quality management systems.

Keywords: ISO 9001:2008; Maturity Level; Quality Management System; Quality Standard.
COMPETENCY-BASED PASSION AND VALUE-BASED DEDICATION INDONESIAN ENTREPRENEURIAL PERSISTENCE AMID THE COVID-19 PANDEMIC
Authors: Husni Fransiskus Xaverius , Suwarto F X , Hariandja Evo Sampetua , Tan Jacob Donald
Published: March 2024

Abstract- In 2021, Indonesia's national income significantly decreased as a result of the COVID-19 pandemic. During that time, a large number of SMEs failed, although some managed to recover. The goal of the research is to acquire experience with entrepreneurial tenacity and turn it into explicit knowledge.  Using Interpretative Phenomenological Analysis to analyse the persistence experiences of ten entrepreneurs with COVID-19 bounce-back experience.  Informants are selected with purposive sampling based on multiple perspective approach. In-depth interviews were conducted for data collection.  Two stages of coding is used for theming process, which are followed by conceptualization process.  Confirmation of notions is achieved by elaborate coding. Research indicate that the drivers for the perseverance of Indonesian entrepreneurs amidst the COVID-19 pandemic can be attributed to Competencies-based passion and Value-based dedication. Entrepreneurs persevere because they are passionate about their industry and have faith in their ability to thrive. Another motivator is their commitment to enduring because of the beliefs or principles they cherish.Entrepreneurs that are persistent will have greater opportunities, particularly since they would have more time to become familiar with the challenges posed by COVID-19. The effects of COVID-19 are also diminishing over time. It is their competency- based passion and value-driven determination that enable entrepreneurs to persevere in the face of adversity. Perseverance and resilience must be combined when business transformation is mandatory.

Keywords: COVID-19 Pandemic; Indonesia; Competency-Based Passion; Persistence Experience; Value-Based Dedication
PENGARUH LEVERAGE, LIKUIDITAS, FIRM SIZE DAN CAPITAL EXPENDITURE TERHADAP CASH HOLDING PADA PERUSAHAAN YANG TERDAFTAR DI BURSA EFEK INDONESIA
Authors: Santioso Linda , Daryatno Andreas Bambang
Published: March 2024

Abstract - Cash holding or commonly referred to as cash and cash equivalents owned by the Company which is used to finance operational activities such as purchasing raw materials or merchandise, purchasing capital goods, paying salaries or wages, paying off debt obligations, paying dividends and other transactions required by the company. Cash Holding plays a very important role in determining whether a company is healthy or not, often associated with ownership as the dependent variable. The aim of this research is to obtain empirical evidence regarding the influence of leverage, liquidity, company size and cost of capital on cash flow in real estate and real estate companies listed on the Indonesia Stock Exchange (BEI) from 2019 to 2021. Technical sampling used in this research was a purposive sampling technique. Data processing uses the Eviews 13 program. The research results show that the independent variable Leverage has a negative and significant influence on Cash Holding where hypothesis 2 is not rejected, Liquidity has a positive and significant influence on Cash Holding where hypothesis 2 is not rejected, Firm Size has a positive influence but not significant on Cash Holding where hypothesis 3 is rejected, and Capital Expenditure has a positive and significant influence on Cash Holding where hypothesis is rejected. From the empirical evidence above, the implication obtained in this research is that companies that have high leverage need sufficient reserve funds to avoid financial distress, so that the company's activities can run smoothly. In order to cover short-term financing needs, companies really need good liquidity, meaning there is sufficient reserve funds. The bigger a company, the bigger the transactions will be too. Here it is necessary to have reserve funds to be used to meet financing needs so that the company's operations are not disrupted. Capital expenditures made by a company in making investments should use internal funds so that they do not add additional burden. If capital expenditure uses external financing or debt, it will reduce the Company's liquidity level because it has to pay interest or other expenses.

Keywords: Capital Expenditure; Cash Holding; Firm Size; Leverage; Liquidity
الآثار الاجتماعية والسلوكية للحجر المنزلي في ظل جائحة كوفيد-19 على عينة من الطالبات المتزوجات في جامعة الشارقة
Authors: عبد الله رانيا , المدني خليل
Published: March 2024

هدفت هذه الدراسة على التعرف على أثار الحجر المنزلي على الاسره وتم قد تطبيق الدراسة على عينه من طالبات جامعة الشارقة، بهدف التعرف على الاثار السلبية من الناحية الاجتماعية والسلوكية على الاسره.
 وقد أجريت الدراسة على عينة من الطالبات المتزوجات في جامعة الشارقة قسم علم الاجتماع وبلغ عددهن (118) طالبة من خلال تصميم استبيان واجراء مقابلة مباشرة مع (12) اسرة مقيمة في امارة الشارقة.
وتتضمن الدراسة على ثلاثة فصول دراسية يتناول الفصل الأول مشكلة الدراسة، والفصل الثاني الاتجاهات النظرية والدراسات السابقة اما الفصل الثالث عن الدراسة الميدانية وتحليل البيانات.
ومن اهم النتائج التي توصلت لها الدراسة هي: لم تكن ظروف الحجر المنزلي والتباعد الاجتماعي مناسبة نهائيا لتعليم الأبناء. قل التواصل مع الأقرباء والأصدقاء جراء ذلك الحجر كان هناك صعوبة كبيرة في توفيق الأوضاع الأسرية والعلمية. ظهر سلوك الإدمان على استخدام وسائل التواصل الاجتماعي لكلا الزوجين أصيب الزوجين والأطفال بالخوف من أغراض البقالة ولجأوا بقوة وتعقيمها باستمرار كان سلوك تقلب المزاج والعصبية من أكبر المشاكل التي واجهت كل أفراد الأسر كما بينت الدراسة اختلال أوقات النوم هي الأخطر على الأطفال
Ultrasonic welding of lap joints of PEI plates with PEI/CF-fabric prepregs
Authors: Alexenko Vladislav , Tian Defang , Panin Sergey , Bochkareva Svetlana , Panov Iliya
Published: March 2024

In this study, ultrasonic welding (USW) of lap joints of polyetherimide (PEI) plates (adherends) with carbon fiber (CF) prepregs impregnated with PEI was investigated. No energy director (ED) was used, so binder contents were varied in the prepregs to compensate for the lack of the polymer in the fusion zone. In addition, the effect of the USW parameters on the structure and the mechanical properties of the lap-joints were analyzed. The most homogeneous macrostructure, the maintained structural integrity of both the CF-fabric in the prepregs and the lap-joined PEI adherends, as well as the maximum strength properties (tensile strength) were revealed for the USW joints with the minimum polymer content in the prepreg. In this case, rising the USW time from 400 up to 800 ms radically changed the macrostructure of the fusion zone, while the strength properties did not vary significantly (shear stresses were 42–48 MPa). Computer simulation of the influence of the PEI/CF-fabric ratios in the prepregs on the deformation response of the USW joints showed that the prepreg thicknesses and, accordingly, the PEI/CF ratios did not exert a noticeable effect on the strain–stress (tensile) diagrams, while the determining factor was the adhesion level.
Thin ferromagnetic plates with magnetostriction
Authors: Kassan Mouna , Carbou Gilles , Jazar Mustapha
Published: March 2024

In this paper, we establish the existence of global-in-time weak solutions for the Landau–Lifschitz–Gilbert equation with magnetostriction in the case of mixed boundary conditions. From this model, we derive by asymptotic method a two-dimensional model for thin ferromagnetic plates taking into account magnetostrictive effects.
Effective community detection with topic modeling in article recommender systems using LS-SLM and PCC-LDA
Authors: Rachamadugu Sandeep Kumar , Pushphavathi T.P.
Published: March 2024

This paper introduces an innovative approach, the LS-SLM (Local Search with Smart Local Moving) technique, for enhancing the efficiency of article recommendation systems based on community detection and topic modeling. The methodology undergoes rigorous evaluation using a comprehensive dataset extracted from the “dblp. v12.json” citation network. Experimental results presented herein provide a clear depiction of the superior performance of the LS-SLM technique when compared to established algorithms, namely the Louvain Algorithm (LA), Stochastic Block Model (SBM), Fast Greedy Algorithm (FGA), and Smart Local Moving (SLM). The evaluation metrics include accuracy, precision, specificity, recall, F-Score, modularity, Normalized Mutual Information (NMI), betweenness centrality (BTC), and community detection time. Notably, the LS-SLM technique outperforms existing solutions across all metrics. For instance, the proposed methodology achieves an accuracy of 96.32%, surpassing LA by 16% and demonstrating a 10.6% improvement over SBM. Precision, a critical measure of relevance, stands at 96.32%, showcasing a significant advancement over GCR-GAN (61.7%) and CR-HBNE (45.9%). Additionally, sensitivity analysis reveals that the LS-SLM technique achieves the highest sensitivity value of 96.5487%, outperforming LA by 14.2%. The LS-SLM also demonstrates superior specificity and recall, with values of 96.5478% and 96.5487%, respectively. The modularity performance is exceptional, with LS-SLM obtaining 95.6119%, significantly outpacing SLM, FGA, SBM, and LA. Furthermore, the LS-SLM technique excels in community detection time, completing the process in 38,652 ms, showcasing efficiency gains over existing techniques. The BTC analysis indicates that LS-SLM achieves a value of 94.6650%, demonstrating its proficiency in controlling information flow within the network.
RETRACTED: The effectiveness of certification services on e-commerce platforms considering network externalities
Authors: Du Xueke , Li Wenli , Wei Xiaowen
Published: March 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Analysis and construction of evaluation index system for tourism management classroom teaching based on regression model
Authors: Luo Zhenrong , Jiang Lei
Published: March 2024

In order to construct an evaluation index system suitable for tourism management classroom teaching, this article evaluates the teaching effectiveness of teachers and improves the teaching quality of tourism management courses. This article is based on developmental evaluation theory, using Analytic Hierarchy Process, Project Response Theory, and CIPP model to construct an indicator system suitable for tourism management classroom teaching. Then, based on the collected data of 5763 students, the reliability and effectiveness of the tool and indicator system were first verified. Then, the variable of teacher teaching style was introduced to construct an OLS regression model for empirical research. The research will summarize teacher and student data collected through the platform and conduct reliability analysis in SPSS 22.0 software, using Cronbach α The credibility of coefficient testing and evaluation tools. Cronbach in Environmental Fundamentals α The cβoefficient value is 0.8350. Cronbach for resource allocation α The coefficient is 0.735, and the Cronbah of the implementation process α Cronb Bach with a coefficient of 0.7 47 for teaching performance α The coefficient is 0.7240, indicating that rat ings has high reliability. Research has found that among the four specific types, the holistic type has the greatest impact on the specific situation, the holistic type has the greatest impact on the environmental foundation and resource allocation, and the legislative type has the greatest impact on the implementation process and teaching performance.
A combined framework for carbon emissions prediction integrating online search attention
Authors: Zhang Dabin , Yu Zehui , Ling Liwen , Hu Huanling , Lin Ruibin
Published: March 2024

As CO2 emissions continue to rise, the problem of global warming is becoming increasingly serious. It is important to provide a robust management decision-making basis for the reductions of carbon emissions worldwide by predicting carbon emissions accurately. However, affected by various factors, the prediction of carbon emissions is challenging due to its nonlinear and nonstationary characteristics. Thus, we propose a combination forecast model, named CEEMDAN-GWO-SVR, which incorporates multiple features to predict trends in China’s carbon emissions. First, the impact of online search attention and public health emergencies are considered in carbon emissions prediction. Since the impact of different variables on carbon emissions is lagged, the grey relational degree is used to identify the appropriate lag series. Second, irrelevant features are eliminated through RFECV. To address the issue of feature redundancy of online search attention, we propose a dimensionality reduction method based on keyword classification. Finally, to evaluate the features of the proposed framework, four evaluation indicators are tested in multiple machine learning models. The best-performed model (SVR) is optimized by CEEMDAN and GWO to enhance prediction accuracy. The empirical results indicate that the proposed framework maintains good performance in both multi-scenario and multi-step prediction.
Applying dimensionality reduction methods to extract physiological and diagnostic features for clinical Hyperspectral Images
Authors: Lalitha V. , Latha B.
Published: March 2024

The most valuable information of Hyperspectral Image (HSI) should be processed properly. Using dimensionality reduction techniques in two distinct approaches, we created a structure for HSI to collect physiological and diagnostic information. The tissue Oxygen Saturation Level (StO2) was extracted using the HSI approach as a physiological characteristic for stress detection. Our research findings suggest that this unique characteristic may not be affected by humidity or temperature in the environment. Comparing the standard StO2 reference and pressure concentrations, the social stress assessments showed a substantial variance and considerable practical differentiation. The proposed system has already been evaluated on tumor images from rats with head and neck cancers using a spectrum from 450 to 900 nm wavelength. The Fourier transformation was developed to improve precision, and normalize the brightness and mean spectrum components. The analysis of results showed that in a difficult situation where awareness could be inexpensive due to feature possibilities for rapid classification tasks and significant in measuring the structure of HSI analysis for cancer detection throughout the surgical resection of wildlife. Our proposed model improves performance measures such as reliability at 89.62% and accuracy at 95.26% when compared with existing systems.
Federated aggregation method based on cosine similarity approximation Shapley value method contribution degree
Authors: Ma Chengfei , Yang Xiaolei , Lu Heng , He Siyuan , Liu Yongshan
Published: March 2024

When calculating participants’ contribution to federated learning, addressing issues such as the inability to collect complete test data and the impact of malicious and dishonest participants on the global model is necessary. This article proposes a federated aggregation method based on cosine similarity approximation Shapley value method contribution degree. Firstly, a participant contribution calculation model combining cosine similarity and the approximate Shapley value method was designed to obtain the contribution values of the participants. Then, based on the calculation model of participant contribution, a federated aggregation algorithm is proposed, and the aggregation weights of each participant in the federated aggregation process are calculated by their contribution values. Finally, the gradient parameters of the global model were determined and propagated to all participants to update the local model. Experiments were conducted under different privacy protection parameters, data noise parameters, and the proportion of malicious participants. The results showed that the accuracy of the algorithm model can be maintained at 90% and 65% on the MNIST and CIFAR-10 datasets, respectively. This method can reasonably and accurately calculate the contribution of participants without a complete test dataset, reducing computational costs to a certain extent and can resist the influence of the aforementioned participants.
RETRACTED: AI-enhanced forecasting of Indian primary energy demand: Fuzzy auto-regressive distributed lag models
Authors: Vaikunta Pai T. , Singh Manmohan , Shaik Nazeer , Ashokkumar C. , Anuradha D. , Gangopadhyay Amit , Rao Goda Srinivasa , Reddy T. Sunilkumar , Nagaraju D.
Published: March 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Defining Parkinson’s Disease: Past and Future
Authors: Kulcsarova Kristina , Skorvanek Matej , Postuma Ronald B. , Berg Daniela
Published: March 2024

Parkinson’s disease (PD) is the second most common still relentlessly progressive neurodegenerative disorder with a long period in which the pathophysiological process is already spreading but cardinal motor symptoms are not present. This review outlines the major developments and milestones in our understanding of PD that have shaped the way we define this disorder. Past criteria and definitions of PD have been based on clinical motor manifestations enabling diagnosis of the disease only in later symptomatic stages. Nevertheless, with advancing knowledge of disease pathophysiology and aim of early disease detection, a major shift of the diagnostic paradigm is being advocated towards a biological definition similar to other neurodegenerative disorders including Alzheimer’s disease and Huntington’s disease, with the ultimate goal of an earlier, disease course modifying therapy. We summarize the major pillars of this possible approach including in vivo detection of neuronal α-synuclein aggregation, neurodegeneration and genetics and outline their possible application in different contexts of use in the frame of biological PD definition.
Exploring logistics transport route optimization: An algorithmic study based on RFID technology
Authors: Guo Jing , Wang Yalan , Guo Ying , Dai Shuaijun , Yan Ruyu , Shi Zaijie
Published: March 2024

With the rapid growth of e-commerce, logistics companies face challenges in efficient routing and scheduling to meet dynamic delivery demands. This paper proposes a novel logistics scheduling model to optimize vehicle routing using Radio Frequency Identification (RFID) technology. A vehicle scheduling model is developed. The random customer demand and service time are solved using an adaptive taboo search algorithm combined with a nearest neighbor algorithm. Comparative experiments demonstrate the performance of the improved method in completing tasks and reducing queueing time compared to other methods. A case study of route optimization for a logistics company shows the model can recommend optimized routes that reduce total transportation cost by over 25% compared to using RFID alone. The results highlight the potential of the proposed technique to enhance logistics efficiency. Limitations and future work are discussed.
Conjunctival component of computer vision syndrome — causes and mechanisms of subjective manifestations
Authors:   Bashkir State Medical University, Ufa, Russian Federation, Akhmadeev R.R. ,   All-Russian Center for Eye and Plastic Surgery of the Bashkir State Medical University, Ufa, Russian Federation, Mukhamadeev T.R. ,   Bashkir State Medical University, Ufa, Russian Federation, Shaykhutdinova E.F. ,   CJSC "Optimedservis", Ufa, Russian Federation, Khusniyarova A.R. ,   Karmaskaly Central Regional Hospital, Karmaskaly, Russian Federation
Published: March 2024

Aim: to evaluate the frequency and severity of subjective conjunctival signs of computer vision syndrome (CVS) and to discuss their possible causes and mechanisms. Patients and Methods: online screening of 367 students from different Russian universities, including 303 (82.5%) girls and 64 (17.5%) boys, aged 15–30 years (20.6±0.1 years), was conducted using a multidimensional author's questionnaire and validated scales for assessing Internet addiction and daily duration and experience of using digital devices (DDs). Results: analysis of the screening data showed that only 10.3% of the respondents had no complaints of conjunctival signs of CVS. Predominant conjunctival symptoms (both in terms of frequency and severity) were dryness, redness and tearing. The structure of "always" and "very often" complaints of eye dryness (4.6% and 8.5% respectively), eye redness (3.3% and 7.0% respectively) and tearing (2.7% and 5.5% respectively) is similar. The structure of "very often" complaints differs from the structure of "always" complaints in that burning and itching (19.5%) ranks third after dryness (21.3%) and redness (20.4%). Eye dryness (5.2%), redness (4.0%) and tearing (2.7%) were the most common "very severe" complaints. Eye redness (10.3%), eye dryness (9.4%), and burning and itching (7.3%) were most common among "severe" complaints. Conclusion: the authors' findings and published data show that the high rate of complaints of visual discomfort with conjunctival signs and disorders of the lacrimal apparatus when using DDs is not only due to the effect of reduced blink rate and increased evaporation of the tear film, but also to much more complex, systemic neuro-ophthalmological mechanisms. The most likely mechanism is vegetative dysregulation resulting from excessive and prolonged use of information technologies and DDs, and ignorance of hygienic and ergonomic standards. KEYWORDS: computer vision syndrome, dry eye disease, conjunctivitis, neuro-ophthalmology, autonomic dysregulation. FOR CITATION: Akhmadeev R.R., Mukhamadeev T.R., Shaykhutdinova E.F., Khusniyarova A.R. Conjunctival component of computer vision syndrome — causes and mechanisms of subjective manifestations. Russian Journal of Clinical Ophthalmology. 2024;24(1):2–6 (in Russ.). DOI: 10.32364/2311-7729-2024-24-1-1.
Identifying Market Capitalization as a Leverage for Low Carbon Economy in Australia
Authors: Chatterjee Debaleena
Published: March 2024

This study explores the relationship between market capitalization of the top listed energy companies in Australia with their CO2 emission. The data is secondary in nature taken from World development indicators for annual records of Australia ranging from 2010 till 2022. The paper attempts to check similarities in the behaviour of the two variables through the prism of cointegration and VAR technique. Initial tests for stationarity are done through correlograms and unit root tests before applying Co-integration or VAR Approach. VAR was possible to apply due to stationarity achieved for both the variables in the same order of integration [1]. Final results suggest an untapped leverage in the form of market capital available to redirect the flow of financing towards green initiatives.
Time Frequency and Co-movements between Global Economic Policy Uncertainty, Precious Metals and Agricultural Prices: A Wavelet Coherence Analysis and Bootstrap Rolling Window Granger Causality
Authors: Abed Riadh El , Hamouda Abderrazek Ben
Published: March 2024

Examining the links between economic uncertainty and precious metals allows us to explore the interconnectedness of various economic factors and their potential impact on markets, investments, and global trade. Precious metals such as gold and silver have historically been used as safe havens during times of economic uncertainty. Understanding how these metals interact with fluctuating economic policies can help assess their role as a safe haven and their importance to investors. Analyzing the links between precious metals, economic uncertainty, and agricultural prices can help policymakers design measures to mitigate negative impacts on the economy and foster financial and food stability. The main objective of this paper is to examine the co-movements between global economic policy uncertainty and each commodity such as oil, precious metals and agricultural prices. We employ two empirical approaches such as wavelet coherence and bootstrap rolling window Granger causality. The dynamic causality according to the bivariate framework between variables is analyzed. We used monthly data during the period span from January 2004 to September 2022. Empirical results indicate the evidence of unidirectional, bidirectional and absence of causality between variables. In addition the co-movements between GEPU and each variable are positive and negative.
Examining the Relationship between Inflation Instability and Ecological Footprint: Evidence from Turkey
Authors: Beşe Emrah , Friday H. Swint , Kalaycı Salih
Published: March 2024

Sustainability is a preeminent global issue. This study delves into sustainability with an examination of the effect of inflation instability on ecological footprint per capita through financial development, economic growth, and energy consumption by using the ARDL model for Turkey for the period 1980 through 2015.  The results of this study confirmed that financial development and inflation instability improve the environment insignificantly while economic growth does not significantly damage the environment.  In addition, energy consumption is found to cause environmental degradation.  Results of this study show that the main issue for Turkey is consumption rather than production.  Suggested policy-making implications are provided in the conclusion.
Sustainable Pathways: CO2 Emissions, FDI, Trade, and Energy in Post-Communist Economies
Authors: Tichá Lucie , Djalilov Bekhzod , Salahodjaev Raufhon , Allanazarova Dilnoza
Published: March 2024

This study explores the intricate interplay among CO2 emissions, economic development, foreign direct investment (FDI) inflows, trade, and energy consumption in post-communist republics spanning from 1995 to 2017. Utilizing a panel cointegration test, we unveil a profound and enduring relationship among these variables. Long-term elasticities are meticulously examined through Dynamic Ordinary Least Squares (DOLS) and Fully Modified Ordinary Least Squares (FMOLS) regressions, both of which consistently reveal a positive association between GDP per capita, FDI inflows, trade, energy consumption, and CO2 emissions per capita over the long term. Moreover, employing a panel causality test, our analysis identifies a robust unidirectional causality, specifically from CO2 emissions to energy consumption, signifying a pivotal link in the chain of influence (p<0.01). These findings shed light on the nuanced dynamics of CO2 emissions and their intricate connections with economic growth, foreign investments, trade, and energy usage in the post-communist context.
Assessing the Stationarity of Per Capita Electricity Consumption: Time Series Analysis in ASEAN Countries
Authors: Parreño Samuel John E.
Published: March 2024

The stationarity of per capita electricity consumption has become a critical subject of research and policy consideration, with a wealth of literature exploring this aspect using diverse methodologies. This paper, however, differentiates itself by focusing exclusively on electricity consumption, a pivotal energy form, within the context of the ASEAN region. The stationarity or nonstationarity of electricity consumption has significant implications for energy management and policy formulation. A Kwiatkowski-Phillips-Schmidt-Shin (KPSS) unit root test with structural breaks was applied to data spanning from 1971 to 2014 for nine ASEAN nations, shedding light on distinct patterns. The majority of countries, including Indonesia, Thailand, Singapore, Vietnam, Malaysia, the Philippines, Myanmar, and Cambodia, exhibited nonstationary electricity consumption, suggesting susceptibility to prolonged fluctuations influenced by various structural factors. In contrast, Brunei displayed stationary electricity consumption, implying temporary effects of energy demand shocks. The policy implications are substantial. Nonstationary countries require flexible energy policies that address both immediate and long-term fluctuations in electricity consumption, especially in sectors like manufacturing, healthcare, and education, heavily reliant on electricity. Conversely, stable countries like Brunei should continuously monitor energy trends to make proactive policy adjustments.
Clustering of Companies Based on Sustainability Performance using ESG Materiality Approach: Evidence from Indonesia
Authors: Saraswati Erwin , Ghofar Abdul , Atmini Sari , Dewi Ayu Aryista
Published: March 2024

The framework for environmental, social, and governance (ESG) disclosure has become crucial throughout the world.  Globally,  various ESG reporting frameworks have emerged,  but there are still few companies in Indonesia that are involved in ESG. This research aims to develop an ESG performance assessment instrument based on material aspects of sustainability for all industries in Indonesia. The data was obtained by extracting 472 corporate sustainability reports in Indonesia during 2021 and ESG indicators were determined through focus group discussions and inter-rater reliability tests. The ESG performance assessment in this study adopted the methodology of the Refinitiv Institute and the ESG indicator weights were modified according to the new ESG indicators.  A total of 65 ESG indicators were analyzed and these showed that the majority of companies in Indonesia have relatively satisfactory ESG performance and a moderate level of transparency in reporting important ESG data to the public. Cluster analysis with the K-means algorithm shows that each company needs to improve performance on at least one ESG pillar. The results of this research support the initiatives that have been taken by global regulators and stock exchanges to require companies to disclose ESG information in the future.
The Relationship between Electricity Consumption and Economic Growth in BRICS Countries
Authors: Wahyudi Heru
Published: March 2024

This study analyzed the Gross Domestic Product (GDP) determinants in Brazil, Russia, India, China, and South Africa (BRICS). The method used in this study is a Fully Modified Ordinary Least Square (FMOLS) panel that can overcome the problem of non-stationary panels and the effect of heterogeneity between countries. The analysis range of this study is from 1992 to 2021, with three independent variables, namely electrical energy consumption, labor force, and gross fixed capital formation (GFCF) or investment. The results showed a significant favorable influence on energy consumption, labor force, and investment in GDP in BRICS countries from 1992-2021. This research resulted in a review of one of the policy recommendations to improve the economy in BRICS countries.
PENANGANAN BENCCANA BERBASIS KOMUNITAS MELALUI PROGRAM DESA TANGGUH BENCANA DI DESA GARON KECAMATAN BALEREJO KABUPATEN MADIUN
Authors:   Universitas Muhammadiyah Madiun, Permana Mahar Widya , Rahman Nuril Endi
Published: March 2024

Disaster situations require new strategies that are relevant to the problem context. The Disaster Resilient Village Program (Destana) is a disaster management effort that uses a Community-Based Disaster Risk Management (PRBBK) strategy. This research aims to look at implementing the Destana program in Garon Village, Balerejo District, Madiun Regency. This research method uses descriptive qualitative, data mining techniques using in-depth interviews, observation, and documentation studies. The research results show that the implementation of the Destana program in Garon Village has not demonstrated a Community-Based Disaster Management approach, considering that there is no active participation from the community in the entire disaster management series. Community capacity in disaster management is also still not visible because there is no community organization, in this case, the community is still used as an object. The preparedness of the Garon Village community is still low in facing flood disasters, due to the lack of active community participation in the program. Thus, program managers need evaluation so that the approach used can be implemented substantively, and community capacity can be increased in dealing with disaster situations.
APLIKASI ZOOM MEETING DALAM PEMBELAJARAN DARING UNTUK SEKOLAH DASAR PADA MASA COVID-19 DI PALEMBANG
Authors:   UIN Sunan Kalijaga Yogyakarta, Triwulandari Rohmi , Prastowo Andi
Published: March 2024

The use of zoom meetings in theethics of the Covid-19 pandemic are some of the alternatives used during online learning. This article provides an overview of the application of zoom-based online learning during the Covid-19 pandemic hammering the Zoom Meeting application at Fathonah Integrated Islamic Elementary School Palembang grade III. This zoom-based learning is pursued in each subject both in practical activities and other learning processes carried out by the teacher during the learning process. The research method used in this study is a qualitative method of case study design through triangulation data collection techniques such as interviews, observations and documentation using Miles and Huberman data analysis methods is the process of data collection, data reduction, data presentation and verification / conclusion drawing. The results of the analysis of this study are that the existence of online learning activities through the zoom meeting application aims to achieve maximum learning activities for distance learning during the pandemic, but in the implementation of the learning process using the zoom application, it cannot be fully applied optimally to students in grade III at fathonah Integrated Islamic Elementary School Palembang.
Dev Kralotu (Pennisetum hybridum) Silajlarında in Vitro Rumen Fermantasyonu ve Metan Üretiminin Belirlenmesi
Authors: Eren Murat , Kocaoğlu Güçlü Berrin
Published: March 2024

Bu çalışma, dev kralotu (Pennisetum hybridum) bitkisinden farklı katkı maddeleri ile hazırlanan silajların besin madde içerikleri ve in vitro sindirim parametrelerinin tespit edilerek, ruminantlar için alternatif bir kaba yem kaynağı olarak kullanılabilirliğinin belirlenmesi amacıyla yürütülmüştür. Ayrıca hazırlanan silajların besi sığırı tam rasyonunda (TMR) mısır silajı yerine %25, %50, %75 ve %100 oranlarında kullanılmasının in vitro parametrelerde oluşan değişim-ler ile in vitro rumen sıvısı amonyak azotu ve rumen uçucu yağ asitleri düzeylerine olan etkileri de araştırılmıştır. Bu amaçla 120 günlük dev kralotu (Pennisetum hybridum) bitkisinden katkısız, inokulant+enzim, fumarik asit ve arpa unu katkıları ile 10’ar paralel halinde dört farklı silaj grubu oluşturulmuştur. Silaj örnekleri ile yapılan analizlerde; dev kralotu silajları arasında en yüksek kuru madde (KM), ham protein (HP), nispi yem değeri (NYD) ve lif içermeyen karbonhidrat (NFC) oranları arpa unu katkılı dev kralotu silajında belirlenmiştir (P<0.001, P<0.05). NFC, ham selüloz (HS), nötral deterjan lif (aNDFom) ve NYD düzeyi bakımından katkısız, inokulant+enzim ve fumarik asit katkılı silajlar birbirine ben-zer bulunurken, arpa unu katkılı grubun HS ve aNDFom içeriği bu gruplardan önemli oranda düşük bulunmuştur (P<0.001, P<0.05). Silaj gruplarının pH değerleri arasında anlamlı bir farklılık olduğu tespit edilmiştir (P<0.001). Katkı maddeleri kullanımı, tüm silaj gruplarında in vitro kümülatif gaz ve metan üretimini katkısız gruba göre arttırmıştır (P<0.001). Dev kralotu silajlarının tam rasyon (TMR) içerisinde mısır silajı yerine farklı oranlarda ilave edilmesi (katkısız grubun TMR’a %25 oranında ilavesi dışında), in vitro kümülatif gaz üretimini, metabolik enerji (ME), organik madde sindirimi (OMS) ve toplam uçucu yağ asitleri (TUYA) düzeylerini olumsuz etkilemiştir (P<0.001). Sonuç olarak; dev kralotunun farklı katkı maddeleri ile silolanmasının silaj fermantasyonunu ve sindirilebilirliğini olumlu yönde etkilediği, besi sığırı TMR’ında ise mısır silajı yerine sadece %25 oranında katkısız dev kralotu silajı kullanımının olumsuz bir durum oluşturmadığı gözlenmiştir.
Cultura Política del Malestar en el Cono Sur: Entre la Pasividad y el Activismo
Authors: Rivas Ricardo , Cortez Mauricio
Published: March 2024

Presentación
Calidad microbiológica de la leche cruda: tanques de expansión comunitarios en Alagoas
Authors: Soares Karla Danielle Almeida , Alves Elizabeth Simões do Amaral , Silva João Manoel da , Viana Cibeli , Andrade Andrezza Cavalcanti de , Alves Aglair Cardoso , Silva Maria Goretti Varejão da , Silva Daniel Dias da , Moura Vilton Edson Figueiroa de , Silveira Ana Virgínia Marinho , Soares Anísio Francisco , Medeiros Elizabeth Sampaio de
Published: March 2024

La leche es un alimento altamente nutritivo y consumido por gran parte de la población, y debido a su composición nutricional, su calidad puede ser alterada por la cantidad de microorganismos presentes. El objetivo de este estudio fue evaluar la calidad microbiológica de la leche cruda proveniente de tanques de expansión comunitarios en el estado de Alagoas. Se recolectaron asépticamente 160 muestras de leche en las tres mesorregiones del estado para análisis microbiológicos. Se observó que el 10,83% (13/120) de las muestras tenían recuentos de Staphylococcus coagulasa positiva inferiores a 105 UFC/mL y el 10,83% (13/120) tenían recuentos superiores a 105 UFC/mL. Para coliformes se encontró que el 18,8% (30/160) de las muestras tenían recuentos inferiores a 1,1×103 NMP/mL y el 81,2% (130/160) de las muestras tenían valores superiores a 1,1×103 NMP/mL. Se constató la ausencia de Salmonella spp. y Listeria spp. en todas las muestras. Aeromonas spp. se encontró en el 28,7% (46/160) de las muestras. Para los microorganismos mesófilos, el 15% (24/160) de las muestras se encontraban dentro del estándar requerido por la legislación, mientras que el 85% (136/160) estaban fuera del límite establecido de hasta 6×105 UFC/mL. Los recuentos de microorganismos psicrotróficos fueron superiores a 5×106 UFC/mL en el 41,9% (67/160) de las muestras analizadas. Se concluye con este estudio que los elevados recuentos de microorganismos en la leche analizada y la temperatura inadecuada de los tanques en el momento de la recolección permiten obtener un producto de baja calidad, debido a la acción deterioradora o patógena del microorganismo. Por lo tanto, se sugiere la implementación de buenas prácticas durante el ordeño, transporte y almacenamiento de la leche cruda refrigerada, para prevenir la contaminación de la materia prima, garantizando un producto de calidad certificada.
ЕФЕКТИВНЕ ВИКОРИСТАННЯ ІНТЕРНЕТУ РЕЧЕЙ (ІОТ) В АДМІНІСТРАТИВНОМУ МЕНЕДЖМЕНТІ: ЗАВДАННЯ ТА МОЖЛИВОСТІ ДЛЯ ОРГАНІЗАЦІЙ У СУЧАСНОМУ БІЗНЕС-СЕРЕДОВИЩІ
Authors: Гнилянська О. В. , Карий О. І.
Published: March 2024

Інтернет речей (Internet of Things, IoT) є однією з перспективних та революційних технологій, що розширює світ об’єктів і пристроїв, здатних до спілкування й обміну даними через Інтернет. Ця інноваційна концепція стала ключовим фактором для перетворення способу, за допомогою якого організації функціонують і управляють своїми ресурсами в сучасному бізнес-середовищі. Інтернет речей відкриває широкий спектр можливостей для підвищення ефективності адміністративного менеджменту, забезпечуючи більший контроль, збір та аналіз даних, оптимізацію процесів та підвищення конкурентоспроможності організацій. У цій статті ми опишемо детальніше можливості, що пропонує IoT для адміністративного менеджменту, та як вони сприяють покращенню управління в сучасному бізнес-середовищі. Робота розглядає завдання, які можуть бути вирішені за рахунок ІоТ у адміністративному менеджменті. Це включає автоматизацію процесів управління, моніторингу, збору та аналізу даних, оптимізацію постачання, логістики та інші аспекти організаційного управління. Використання ІоТ може дозволити підприємствам збільшити продуктивність, знизити витрати, покращити якість обслуговування та забезпечити більш ефективне прийняття рішень. Стаття розглядає можливості, які відкриває ІоТ для організацій у сучасному бізнес-середовищі. Досліджується роль ІоТ у впровадженні концепції «розумного офісу», де різні пристрої та системи взаємодіють між собою та з людьми для поліпшення робочого середовища та забезпечення зручності та ефективності. Крім того, використання ІоТ може дозволити впроваджувати інноваційні моделі бізнесу, такі як «платформи як сервіс» та «продукт як сервіс», де організаціям вдасться надавати послуги та продукти на основі підключених до Інтернету пристроїв. Однак разом із можливостями використання ІоТ також вносить виклики та ризики, які потрібно враховувати при впровадженні. Робота розглядає питання безпеки даних та приватності, оскільки підключені пристрої здатні збирати та передавати великі обсяги конфіденційної інформації. Також виникають технічні виклики, пов’язані з інтеграцією різних систем та пристроїв, стандартизацією протоколів та забезпеченням стійкості та надійності мережі. Дане дослідження підкреслює важливість використання Інтернету речей в адміністративному менеджменті для покращення ефективності та оптимізації процесів організацій. Робота надає розуміння завдань та можливостей, а також викликів та ризиків, пов’язаних із впровадженням ІоТ, і надає рекомендації для успішного використання даної технології. Це дозволяє організаціям впроваджувати інноваційні підходи та досягати конкурентної переваги в сучасному бізнес-середовищі.
РОЛЬ ПІДПРИЄМНИЦЬКИХ СТРУКТУР АПК В ЗАБЕЗПЕЧЕННІ ПРОДОВОЛЬЧОЇ БЕЗПЕКИ
Authors: Гордєєва-Герасимова Л. Ю.
Published: March 2024

У роботі досліджено визначення та сутність поняття «продовольча безпека», механізм її реалізації. Визначено роль підприємств агропромислового комплексу у забезпеченні належного рівня продовольчої безпеки шляхом виробництва, переробки та реалізації сільськогосподарської продукції. Досліджено рівень задоволеності продуктами харчування вітчизняних виробників у довоєнний період. Визначено, що населення країни повністю забезпечене продуктами харчування, за винятком риби та рибних продуктів та деяких видів фруктів. Проведено аналіз виробництва сільськогосподарської продукції за роки війни, який показав, що спостерігається падіння виробництва сільськогосподарської продукції на рівні 30% від довоєнного періоду. Цей рівень не критичний для країни. Деякі підприємства переорієнтовуються на вирощування сільськогосподарської продукції, дефіцит якої виник через окупацію частини території України. За роки війни збільшилося виробництво деяких культур, наприклад гречки, кукурудзи. У 2022 році в цілому підприємства агропромислового комплексу спрацювали з прибутком. У 2023 році очікується збиток, який виникає не тільки через обмежений обсяг продукції, а й через неможливість експортувати її традиційними найдешевшими способами – за допомогою водного транспорту, переважно морським. Значна роль держави в забезпеченні належного рівня продовольчої безпеки в умовах воєнного стану. Держава надає максимальну підтримку сільгоспвиробникам, у тому числі це можливо завдяки заходам, визначеним Постановою Кабінету Міністрів України «Про затвердження Плану заходів щодо забезпечення продовольчої безпеки в умовах воєнного стану». Зокрема, збільшення фінансування сільськогосподарських підприємств, регулювання обсягів імпорту та експорту сільськогосподарської продукції. Наразі проводяться дослідження у напрямку подолання наслідків воєнного стану в агропромисловому комплексі. Вирішення проблем може бути пов’язане з формуванням нових логістичних схем експорту продукції та умов її зберігання, подальшим стимулюванням переробної галузі, активною участю в гуманітарних проектах.
ІНФОРМАЦІЙНЕ ЗАБЕЗПЕЧЕННЯ ТА ОБЛІК В УПРАВЛІННІ ЗОВНІШНЬОЕКОНОМІЧНОЮ ДІЯЛЬНІСТЮ В УМОВАХ ЦИФРОВІЗАЦІЇ
Authors: Куценко Т. М. , Альошин С. Ю. , Заіка О. В.
Published: March 2024

В статті проаналізовано вплив цифровізації на інформаційне забезпечення та облік у сфері зовнішньоекономічної діяльності в контексті необхідності постійного вдосконалення і розробки нових методів та механізмів управління для підвищення конкурентоспроможності підприємства на міжнародних ринках. Наголошено, що наявність систематизованої інформації є передумовою успішного управління зовнішньоекономічною діяльністю в умовах конкуренції та глобального економічного середовища. Обґрунтовано роль інформаційних технологій у сфері зовнішньоекономічної діяльності, яка полягає в формуванні ефективної стратегії збору, аналізу та використання інформації для успішного управління підприємством в зовнішньоекономічній сфері на основі моніторингу ринків, аналізу конкурентів та прогнозування ризиків та можливостей. Підкреслено важливість досліджень та удосконалення інформаційного забезпечення обліку та управління зовнішньоекономічною діяльністю в контексті посилення конкуренції на міжнародному ринку, складності зовнішньоекономічної діяльності та необхідності підвищення ефективності діяльності підприємства. Досліджено існуючі підходи до інтерпретації поняття «інформаційне забезпечення обліку та управління зовнішньоекономічною діяльністю», які підкреслюють значення інформаційного забезпечення для підтримки ефективних управлінських рішень та конкурентоспроможності на міжнародному ринку. Обґрунтовано принципи побудови системи інформаційного забезпечення обліку та управління зовнішньоекономічною діяльністю, зокрема: відкритість і доступність інформації, цільове спрямування, регулярне оновлення, конфіденційність та захист інформації, інтеграція інформації, автоматизація процесів, аналіз та прогнозування. Встановлено, що побудова ефективної системи інформаційного забезпечення обліку та управління є ключовим елементом управління зовнішньоекономічною діяльністю підприємства в умовах сучасних викликів та актуальних завдань управління.