bluuebunny/crossref_metadata_2025 huggingface dataset:
The Ministry of Future Production: How Green Finance Plans Our Future
Authors: maresca alessandro , Dal Maso Giulia
Published: February 2025

Green finance has been heralded as “the” solution to the double crises of the environment and capitalism. By embedding environmental policies into the financialization of capitalism, green finance promises to tackle the problem of climate change while guaranteeing future returns. In this article, we challenge the narrative that portrays green finance as market-driven and advance the claim it is instead constituted by forecasting climate-cum-financial models and scenarios that substantially resemble forms of economic planning. Through different case studies that explore the making of sustainability-linked bonds within the International Capital Market Association (ICMA), the way central banks perform climate stress tests, and how asset managers compose their green portfolio, we show how the green finance apparatus heavily leverages big data and algorithmic calculations that are produced outside of the market. We point out the inherent ontological contradictions of these developments but also hint at their potential. Namely, while green finance figures as a financially led, undemocratic form of economic planning, it does employ powerful tools that cannot be left to the wills and whims of the financial elite. And, if finance gives up its neoliberal market addiction by embracing planning techniques, then we should give up our anguished inability to imagine alternative political dimensions and explore economic planning that can be—and, in fact, is—a reality.
Cognitive architecture AGICA: “Space of Reasoning of individual common sense”
Authors: Kornieiev Sergii V.
Published: February 2025

In the article the author describes his view on “Space of Reasoning” in cognitive architecture AGICA. Cognitive architecture AGICA had been proposed by the author in 2023 on the base of the author’s articles published for the last decade. Proposed Space of Reasoning is limited by individual common sense.Keywords: artificial general intelligence, AGI, cognitive architecture, reasoning, individual intelligence, swarm intelligence, common sense, operating system.
Attacks on healthcare in Ukraine: Evidence from Geospatial Analysis
Authors: Sauter Melanie , Gates Scott
Published: February 2025

Background: We ask when and why Russia has targeted civilian infrastructure in Ukraine, with a specific focus on attacks against healthcare.Methods: We use public geocoded event data on violent incidents targeting healthcare facilities from two different sources: Insecurity Insight and Violent Incident Information from News Articles (VIINA). We combine it with a daily classification of territorial control for each settlement in Ukraine during the first two years of the conflict from VIINA, and data on healthcare sites from OpenStreetMap.Results: A substantial number (64·7%) of healthcare targets were struck multiple times. The majority of attacks occur close to, but not directly at the frontline (73·7%), with most being carried out using precision weaponry (58%). Furthermore, the majority of these attacks take place in rural locations (83·57%) in Ukraine controlled territory (63·59%). Conclusion: We conclude that the targeting of healthcare in Ukraine is intentional.
Fractal AdS Solution Existence Proof and Global Properties: Fractional Connections and AdS/CFT Correspondence
Authors: zhou changzheng , zhou ZIQING
Published: February 2025

By modifying the metric structure of fractal AdS spacetime, this paper rigorously proves the existence of solutions that satisfy Einstein’s field equations. A fractional connection system is constructed based on Caputo fractional derivatives, establishing a covariant fractional Bianchi identity. Through the analysis of null geodesics and conformal compactification structures, the global hyperbolicity of the spacetime is verified. Furthermore, a microscopic model for fractal conformal field theory (CFT) is proposed, predicting the dimensional dependence of the quasi-normal mode spectrum of fractal AdS black holes. This study provides a rigorous mathematical framework for the integration of fractal geometry with the AdS/CFT correspondence. Keywords: Fractal AdS spacetime; fractional differential geometry; Bianchi identity; conformal field theory; quasi-normal modes
Peacebuilding in the Commons: United Nations Peacekeeping as Conflict Mitigation and Climate Adaptation
Authors: Hunnicutt Patrick , Nomikos Goulielmos
Published: February 2025

United Nations peacekeeping operations (UN PKOs) increasingly deploy in settings experiencing both violent conflict and climate change. Given this overlap, our paper presents an interdisciplinary analytical framework for understanding how UN PKOs' conflict mitigation strategies may support climate adaptation. We focus specifically on activities UN PKOs undertake to address intercommunal violence related to natural resources impacted by climate change. In short, we argue that contemporary UN PKOs reduce the risk of intercommunal violence by engaging in de-facto common pool resource (CPR) management when deployed to climate-impacted settings, helping strengthen the institutions required to cooperatively manage shared resources like water for livestock. We generate this argument inductively, relying on qualitative evidence from four multidimensional UN PKOs in the Sudano-Sahelian zone -- a region where intercommunal violence is increasing, partly due to the effect of climate change on shared grazing lands. These data highlight how contemporary UN PKOs' capacities for local patrolling, building infrastructure, and mediating disputes strengthen various aspects of CPR management and subsequently reduce the risk of intercommunal violence. Overall, this study meets practitioners' calls to better capture the impact of conflict mitigation strategies on climate resilience and vulnerability.
The Architecture of the Internet Model of the Theory of Everything (iTOEArch) -- Version 0.1
Authors: TIJANI M. A.
Published: February 2025

The Internet Model of the Theory of Everything known in short as iTOE or Internet TOE.Overall Aim: To build an open, transparent, and inclusive Internet dedicated to TOE studies for all fields and disciplines
Emergence of Time and Dimensionality from Minimal Interacting Entities: A Pregeometric Approach
Authors: Bakalov Aleksandar
Published: February 2025

We investigate the emergence of time and spacetime dimensionality from minimal interacting entities using Object-Relation-Object (O-R-O) structures. Our analysis suggests that three entities constitute a minimal system for establishing consistent temporal relations, and we examine how dimensionality may arise from O-R-O relations. The framework yields quantitative predictions regarding temporal structure at the Planck scale (Delta t ~ tau_P sqrt(E_P/E)) and offers a perspective on quantum entanglement through O-R-O relations, potentially contributing to discussions of the problem of time in quantum gravity. We derive several experimental predictions that could be tested through quantum optics (tau ~ 10^-25 s), particle physics (Delta E/E ~ 10^-15), and cosmological observations. The proposed approach appears compatible with holographic principles and background independence, while suggesting possible connections to quantum computation and error correction through O-R-O operations.
Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization
Authors: Long Sheng , Chatzimparmpas Angelos , Alexander Emma , Kay Matthew , Hullman Jessica
Published: February 2025

Judging the similarity of visualizations is crucial to various applications, such as visualization-based search and visualization recommendation systems. Recent studies show deep-feature-based similarity metrics correlate well with perceptual judgments of image similarity and serve as effective loss functions for tasks like image super-resolution and style transfer. We explore the application of such metrics to judgments of visualization similarity. We extend a similarity metric using five ML architectures and three pre-trained weight sets. We replicate results from previous crowdsourced studies on scatterplot and visual channel similarity perception. Notably, our metric using pre-trained ImageNet weights outperformed gradient-descent tuned MS-SSIM, a multi-scale similarity metric based on luminance, contrast, and structure. Our work contributes to understanding how deep-feature-based metrics can enhance similarity assessments in visualization, potentially improving visual analysis tools and techniques. Supplementary materials are available at https://osf.io/dj2ms/.
Managing Smoke Risk from Wildland Fires: Northern California as a Case Study
Authors: Chung Karina , Liu Tianjia , Kelp Makoto , Vohra Karn , Skelly Dana , Carroll Matthew , Schwartz Joel , Mickley Loretta
Published: February 2025

Smoke fine particulate matter (PM2.5) from increasing wildfires in the western United States threatens public health. While land managers often prioritize reducing wildfire risk in the wildland-urban interface, the impact on regional air quality from mitigating wildfire spread is less explored. We develop a framework to quantify wildfire contributions to smoke exposure and assess targeted land management strategies. This data-driven approach integrates fire emissions and smoke transport to generate a smoke risk index at 0.25°×0.25° resolution. We deploy the smoke risk index in an online tool, enabling stakeholders to analyze smoke risk under various scenarios of burned area, fuel consumption, and land management. Using Northern California as a case study, we estimate that in 2020, targeted land management in the 15 highest-risk areas (~3.5% of the total) could have reduced smoke exposure by 17.6%. However, most prescribed burns conducted from 2017-2020 did not overlap with these high-risk zones. Our framework also estimates excess deaths from smoke PM2.5 exposure, attributing ~36,400 (95% CI: 25,400-47,200) deaths nationally due to western US fires in the year following the 2020 fire season. Our adaptable tool can incorporate higher-resolution datasets and help stakeholders prioritize fuel treatment and fire suppression to mitigate smoke exposure risks.
Relationship difficulties and “technoference” during the COVID-19 pandemic
Authors: Zoppolat Giulia , Righetti Francesca , Balzarini Rhonda Nicole , Alonso-Ferres María , Urganci Betul , Rodrigues David L. , Debrot Anik , Wiwattanapantuwong Juthatip , Dharma Christoffer , Chi Peilian , Karremans Johan , Schoebi Dominik , Slatcher Richard B.
Published: February 2025

The COVID-19 pandemic has touched many aspects of people’s lives around the world, including their romantic relationships. While media outlets have reported that the pandemic is difficult for couples, empirical evidence is needed to test these claims and understand why this may be. In two highly powered studies (N = 3,271) using repeated measure and longitudinal approaches, we found that people who experienced COVID-19 related challenges (i.e., lockdown, reduced face-to-face interactions, boredom, or worry) also reported greater self and partner phone use (Study 1) and time spent on social media (Study 2), and subsequently experienced more conflict and less satisfaction in their romantic relationship. The findings provide insight into the struggles people faced in their relationships during the pandemic and suggest that the increase in screen time – a rising phenomenon due to the migration of many parts of life online – may be a challenge for couples.
Navigating Scientific Disagreement: The Effect of Expertise, Interestedness, and Scientific Literacy on Trust in Scientists and Belief in Science Claims
Authors: van Antwerpen Natasha , Green Estelle , Sturman Daniel , Searston Rachel A
Published: February 2025

Media disagreements about science can blur distinctions between experts and non-experts, potentially eroding public trust in scientific claims. We explore how trust in scientific claims and experts is affected by the expertise and vested interests of dissenting voices, and scientific literacy’s role. In an experiment, participants (N = 105) read science news articles featuring disagreement between experts. The dissenting expert's expertise and potential conflicts of interest were varied. Results show scientists were deemed more trustworthy when disagreeing experts had vested interests or lacked domain expertise. Furthermore, those with higher scientific literacy better assessed claims and trustworthiness based on these factors.
Collective narcissism, political violence and terrorism
Authors: Golec Agnieszka
Published: February 2025

Collective narcissism is an individual predisposition toward political radicalization. It is the belief that the ingroup’s exaggerated greatness is insufficiently recognized by others. This belief distorts social cognition, fostering a consistent yet inaccurate narrative in which the ingroup is perpetually wronged by others and therefore justified in responding with hostility. Collective narcissism predicts (1) intergroup violence in escalating conflicts between antagonistic groups of comparable power (e.g., religious, political); (2) resistance or progressive violence, in which historically disadvantaged groups mobilize to challenge existing power structures; and (3) reactionary, supremacist, or state violence, in which traditionally advantaged groups seek to preserve and expand their dominance. Collective narcissists embrace violence for its own sake, derive satisfaction from the misfortunes of others, and are indifferent to the destruction of a world that fails to satisfy their need for recognition.
The Role of Feedback Loops in Dynamical Symptom Networks
Authors: Park Kyuri , Waldorp Lourens , Lees Michael , Vasconcelos Vítor V.
Published: February 2025

Feedback loops are central to the dynamics of mental disorder symptoms, serving as mechanisms that sustain and amplify symptoms over time. Despite their importance, the influence of feedback loop structures on symptom progression and persistence remains underexplored. This study bridges this gap by analyzing a family of simulation models of symptom dynamics describing 98,304 directed networks compatible with empirically observed correlation symptom networks and their feedback loops. Systematic simulations of diverse network configurations revealed that while increasing the number of feedback loops elevates symptom levels, this effect plateaus due to the diminishing impact of overlapping loops. Additionally, networks with evenly distributed connectivity sustain higher symptom levels, necessitating the disruption of multiple feedback loops simultaneously to weaken the network's cohesive structure and reduce symptom persistence. Empirical validation using real-world clinical data supports these findings, demonstrating that frequently observed edges in network structures align with simulated configurations that drive high symptom levels. These results demonstrate that symptom severity and persistence are determined not merely by the presence of feedback loops but by their specific connections. Intervention strategies should focus on disrupting influential feedback structures and key connections rather than broadly reducing connectivity. By integrating computational modeling and empirical analysis, this study advances our understanding of symptom persistence and offers insights for designing targeted interventions to mitigate symptom severity and relapse risk.
The COVID-19 Pandemic, Authoritarianism and Rejection of Sexual Dissenters in Poland
Authors: Golec Agnieszka , Bierwiaczonek Kinga , Baran Tomasz , Keenan Oliver , Hase Adrian
Published: February 2025

Results of a three-wave longitudinal study conducted in the first four weeks of the COVID-19 pandemic in Poland (N = 889) indicate that right wing-authoritarianism increased as the pandemic unfolded, predicting significant growth in national cohesion and in the belief that non-traditional women and sexual minorities threaten the national survival. Latent growth curve modeling indicated linear, inter-related increases in those variables (but not in self-reported political conservatism, social dominance orientation, ambivalent sexism or outgroup hostility) across the three waves. Cross-lagged panel analysis supported the predicted directionality of the relationships. The results are in line with terror management theory predicting that self-continuity concerns increased under mortality salience should motivate investment in cohesive groups and rejection of those dissenters who threaten the prospects of national survival. The results are also in line with findings that the threat of infectious disease increases conformity and ingroup cohesion and sexual prejudice.
A Systematic Review of Loneliness Prevalence and Risk Factors in Autistic Children and Adolescents
Authors: Papagavriel Katerina , Bathelt Joe
Published: February 2025

Emerging research suggests that autistic people frequently experience loneliness. Young autisticpeople may be particularly vulnerable due to the generally higher prevalence of loneliness inyouth. This systematic review assessed the prevalence of loneliness among autistic children andadolescents, and identified factors associated with heightened loneliness. PsycINFO, PubMed,and Web of Science were searched in November 2023, identifying 15 studies (N = 1661; 601autistic, 1060 non-autistic). The Mixed-Methods Appraisal Tool was used to assess study quality,and a narrative synthesis was employed to summarise the state of evidence regarding lonelinessprevalence, friendship quality, and social competence. Findings suggest autistic youth arelonelier, with adolescents being particularly aSected. Autistic children and adolescents reportedhaving fewer friends and experienced friendship quality as lower. Further, ratings from parentsand teachers indicated lower social competence among autistic children and adolescents,which may contribute to loneliness. Methodological heterogeneity, such as the measurementsused to assess autism diagnosis and loneliness, limits generalisability. Implications for practiceand future research are discussed.
Children’s sensitivity to automatic behavior relates to pedagogical reasoning and Theory of Mind
Authors: Bass Ilona , Colantonio Joseph , Aboody Rosie , Wong Michelle , Ullman Tomer David , Bonawitz Elizabeth
Published: February 2025

Pedagogy is a powerful way to learn about the world, and young children are adept at both learning from teaching and teaching others themselves. Theoretical accounts of pedagogical reasoning suggest that an important aspect of being an effective teacher is considering what learners need to know, as misconceptions about learners’ beliefs, needs, or goals can result in less helpful teaching. One underexplored way in which teachers may fail to represent what learners know is by simply “going through the motions” of teaching, without actively engaging with the learner’s beliefs, needs, and goals at all. In the current paper, we replicate ongoing work that suggests children are sensitive to when others are relying on automatic scripts in the context of teaching. We then look at the potential link to two related measures. First, we hypothesize that sensitivity to a teacher’s perceived automaticity will be linked to classic measures of pedagogical sensitivity and learning – specifically, how children explore and learn about novel toys following pedagogical versus non-pedagogical demonstrations. Second, we hypothesize that the development of Theory of Mind (and age differences more broadly) relate to these pedagogical sensitivities. Our online adaptation of the novel toy exploration task did not invoke pedagogical reasoning as expected, and so we do not find robust links between these tasks. We do find that Theory of Mind predicts children’s ability to detect automaticity in teaching when controlling for age. This work thus highlights the connections between sensitivity to teaching and reasoning about others’ knowledge, with implications for the factors that support children’s ability to teach others.
Bright sides of tribal exaggeration?: Collective narcissism and tribal attitudes towards equality
Authors: Golec Agnieszka
Published: February 2025

This chapter considers the role of collective narcissism - a belief that the ingroup’s exaggerated greatness is not sufficiently recognized by others - in asymmetric intergroup relations. Reviewed research explains why members of advantaged groups find it hard to sympathize with members of disadvantaged groups. At high levels of collective narcissism, group members are overly distressed by (real or imagined) exclusion of their own ingroup, but not by exclusion of other groups. Collective narcissism also predicts tribal bias in perception of discrimination and attitudes towards equality depending on whether greater equality aligns or goes against the motivation to have one’s own ingroup recognized as better than others. Those members of advantaged group (e.g. men, White people), who score high on collective narcissism endorse anti-egalitarianism and support the state’s repression of social movements towards equality. Among those members of advantaged group (e.g. women, Black or Latins people) who score high on collective narcissism exaggeration of the ingroup’s importance has power-balancing consequences. They endorse egalitarianism, reject beliefs legitimizing inequality and engage in collective action to pursue equality. This is important as collective narcissists in advantaged groups have greater power than collective narcissists in disadvantaged group to claim national prototypicality and frame their ingroup goals as national interests. Members of disadvantaged groups who endorse national collective narcissism endorse beliefs legitimizing inequality and their ingroups’ disadvantage.
Frontal Brain Mitochondrial Activity as a Transdiagnostic Biomarker of Psychopathology and Impaired Cognition: A Proof-of-Concept Study Using Functional Near-Infrared Spectroscopy
Authors: Filippi Marco , Scholkmann Felix , Tachtsidis Ilias , Vandersmissen Anja , Wenzel Maya , Bernhardt Maren , Neff Thomas , Karabatsiakis Alexander , Pruessner Jens C , Krähenmann Rainer , Fissler Patrick
Published: February 2025

Mitochondrial dysregulation has been demonstrated to be implicated in a variety of psychiatric and neurocognitive disorders, including depression and dementia. However, brain mitochondrial activity in vivo and its relationship to psychopathology and cognitive impairment have rarely been investigated so far. Here, we aimed to assess brain mitochondrial activity and indices of mitochondrial-vascular coupling as biomarkers of psychopathology and impaired cognition in a transdiagnostic human sample in vivo using optical functional neuroimaging with broadband near-infrared spectroscopy. In 65 adults with (n= 29) and without (n = 36) an acute psychiatric disorder, during resting state and cognitive tasks (assessing attention, processing speed, verbal fluency), we recorded left prefrontal cortex mitochondrial activity (measured as change in the oxidation state of cytochrome c oxidase) and vascular activity (measured via change in the oxy- and deoxyhemoglobin difference score). We derived three indices of mitochondrial-vascular coupling: concurrent mitochondrial-vascular activity, mitochondrial-vascular mismatch, and correlation. During the cognitive tasks, a reduced intraindividual mitochondrial-vascular correlation was related to impaired cognition. At rest, higher mitochondrial activity was associated with impaired cognition and higher emotional dysfunction. In addition, higher vascular activity at rest was linked to impaired cognition, higher externalizing symptoms and the acute psychiatric disorder group. The results of this proof-of-concept study provide initial evidence for a dysregulated cellular energy production in adults with impaired cognition and higher emotional dysfunction. Further large-scale studies should replicate these findings and clarify whether mitochondrial biomarkers can advance preventive, predictive, and precision medicine.
Adaptive suppression of motivational biases increases with mood/anxiety traits
Authors: Scholz Vanessa , Algermissen Johannes , Rostami Kandroodi Mojtaba , Gillan Claire , Ouden Hanneke den
Published: February 2025

Background: Changes in motivational biases appear at the heart of many psychiatric disorders. Alterations in motivational biases, in the form of invigorated responding when promised rewards, and holding back when threatened with punishment, have been observed in many psychiatric conditions including depression, anxiety, and substance abuse. However, the specificity of these changes remains unclear. Here, we relate the (in)ability to suppress (maladaptive) motivational biases, to continuous, dimensional measures of psychiatric symptom levels in a sample from the general population focusing on mood-anxiety and impulsive-compulsive symptoms.Methods: We recruited an online sample from the general population (n = 500) through Prolific Academic, that performed a motivational Go/NoGo task, a cognitive test and a clinical questionnaire battery. We used factor analysis, mixed-effects regressions and computational modelling to link transdiagnostic symptom dimensions to the ability to adaptively suppress motivational biases. Results: We observed a double dissociation. Higher anxious-depressed symptoms predicted more suppression of motivational biases on trials on which these were incongruent with instrumental demands, resulting in better overall performance. Using a novel computational model, we show that this behaviour might arise from enhanced learning to flexibly suppress the impact of motivational biases. In contrast, higher compulsive symptom scores were associated with overall worse performance, likely reflecting a more general performance deficit.Discussion: We speculate that anxious-depressed individuals, showing heightened rumination and anxiety, might recruit excessive cognitive effort for suppressing motivational biases. This more ‘controlled’ mode of decision-making might lead to improved performance in tasks such as this one, but on the other hand exhaust participants and contribute to their symptoms.
Peningkatan Daya Saing Produk UMKM Sampurna Jaya Desa Sidapurna Melalui Pelatihan Branding dan Packaging
Authors: Fatma Wati Fanny , Hidayati Nadiyah , Maulidah Mawadatul , Khalimah Siti , Nugraha Galih Praditya
Published: February 2025

UMKM Sampurna Jaya merupakan kumpulan usaha mikro, kecil, dan menengah yang berlokasi di Desa Sidapurna, Kabupaten Tegal, Jawa Tengah. Meski memiliki potensi produk yang menjanjikan, terutama di sektor makanan dan minuman,   UMKM Sampurna Jaya menghadapi beberapa kendala seperti kurangnya pengetahuan dan keterampilan dalam branding produk, kemasan yang kurang menarik, kesulitan meningkatkan daya saing produk, minimnya inovasi, serta akses terbatas pada informasi dan pelatihan mengenai branding dan packaging. Untuk mengatasi permasalahan tersebut, diusulkan solusi berupa kegiatan sosialisasi dan pelatihan branding serta packaging produk. Tujuannya agar UMKM dapat memahami konsep branding yang baik, merancang identitas merek yang konsisten, serta menghasilkan kemasan yang menarik dan sesuai tren pasar saat ini. Selain itu, direncanakan pula pelatihan pemanfaatan teknologi informasi untuk meningkatkan penjualan dan memberikan pemahaman tentang pentingnya riset dan pengembangan serta manajemen waktu dalam berwirausaha. Kegiatan pengabdian masyarakat ini telah dilaksanakan dengan metode sosialisasi, pelatihan, dan pendampingan oleh tim dosen dan mahasiswa dari Universitas Bina Sarana Informatika Tegal. Hasil dari pengabdian masyarakat yang telah dilaksanakan meliputi peningkatan pengetahuan, keterampilan, dan kualitas produk UMKM Sampurna Jaya Desa Sidapurna.
Analisis sistem pengendalian manajemen UMKM Bento Kopi sebagai upaya meningkatkan kinerja karyawan
Authors: Fatmilia Yuli , Syahda Elza Levina , Ratna Purnama
Published: February 2025

A management control system is a system that is used to control activities within a company in order to comply with a defined goal. In improving quality and quantity of products, it is very important to pay attention and evaluate employee performance so a good management control system is needed. The object of this research is Bento Kopi Yogyakarta. The aim of this study are (1) analyze whether the management control system at Bento Kopi is running in a structured and good manner (2) find out how the process of the management control system works in an effort to improve employee performance. The method used in this study is a qualitative method with a descriptive analysis method. The results of the research show that the process of management control in improving employee performance is optimal and maximum. As well as the implementation of the Standard Operating Procedure (SOP) and ethical guidelines at Bento Kopi have been fully implemented so that it can improve employee performance from the perspective of consumers andcompanies.
Keywords : Management Control System, Employee Performance, Standard Operating Procedure, Qualitative method
Implementasi enterprise resource planning (ERP) berbasis odoo pada modul inventory
Authors: Novita Adviant
Published: February 2025

Accounting information systems are the core of management information systems which play an important role in various industrial sectors. Technology and software such as Enterprise Resource Planning (ERP) are used to maximize information management. PT JSI is a service company that has the potential to utilize technology to increase operational efficiency. Even though it has the potential to utilize technology, manual processes in managing inventory and delays in financial reports are the main obstacles. Therefore, implementing the Odoo inventory module can be a solution to overcome obstacles in managing business processes related to warehouse operations.
The aim of this research is to analyze the business processes of PT JSI's inventory division by implementing the Odoo ERP system, evaluate the impact of implementing the inventory module on inventory management, and measure the level of user acceptance of the Odoo ERP system. The research was conducted for three months using a qualitative descriptive approach, collecting primary data from interviews, observations, as well as secondary data from internal company sources and related literature. The research results show the transformation of PT JSI's manual business processes into integrated ones through the implementation of ERP Odoo, enabling data storage between divisions in one database. Configuring the Odoo inventory module makes it easier to create purchase invoices, check stock, and reduce the risk of transaction errors and financial calculations. Inventory division users welcomed the Odoo ERP implementation for inventory activities at PT JSI.
Implementasi enterprise resource planning odoo dalam optimalisasi proses bisnis PT XYZ
Authors: Auliani Laila Nur
Published: February 2025

Enterprise Resource Planning (ERP) is an integral system that helps companies integrate and manage various aspects of their operations. PT XYZ In an effort to improve operational efficiency and customer service, PT XYZ decided to adopt the Odoo Sales Module, open and integrated ERP software. This research uses a qualitative method with a case study approach. PT XYZ Interviews with mentors from PT Ctech ERP Indonesia and internal data analysis of PT XYZ The analysis results show that the implementation of the Odoo Sales Module has the potential to increase the efficiency of the sales process, saving time and resources. Visibility and control over customer data increases, enabling companies to provide better service to customers. Automation of sales tasks and integration between departments can improve operational coordination. Even though PT XYZ has strengths, such as a broad product portfolio and a strong customer base, several weaknesses and challenges still need to be overcome. Growth opportunities can be seen from the E-Commerce market which continues to grow. The threat of intense competition, regulatory changes and data security risks remain relevant.
Penguatan kewarganegaraan ekologis melalui pemberdayaan masyarakat dalam pengelolaan bank sampah
Authors: Subarkah Adam , Cahyono Hadi , Sutrisno
Published: February 2025

Empowerment is one of the important things to do in order to create an attitude of ecological citizenship in society. One of the strategies implemented is empowerment in managing and reducing waste accumulation. The aim of this research is to determine the strategies used to strengthen the value of ecological citizenship in waste bank management. The method used in this research is a literature review by searching various electronic databases to find literature that is related to the discussion that will be carried out. The results obtained from this research are: 1). There are several approaches taken to empower waste bank management, known as 5P, including enabling, strengthening, protecting, supporting and maintaining. 2) The strategy to strengthen ecological citizenship through the gold kitiran waste bank community in sustainable waste management is carried out in four stages, namely environmental knowledge, environmental skills, environmental attitudes and environmental participation. 3) Obstacles in implementing strategies to strengthen ecological citizenship through waste bank communities in sustainable waste management are divided into two, namely internal obstacles and external obstacles. From these results it can be concluded that community empowerment in waste banks can improve ecological welfare.
Analisis standar rata-rata profitabilitas pada industri energi dan industri finansial
Authors: Suryaningsum Sri , Ayusulistyaningrum Dyah
Published: February 2025

ROA and ROE values are indicators of the effectiveness of management performance. However, there is a phenomenon that each company has different characteristics, especially between industrial sectors. This creates concern regarding the standards of good and bad for companies in the energy and financial industries based on the same or different ROA and ROE values. This research aims to determine the average standard ROA and ROE values between the energy and financial industries. This research uses ROA and ROE data from 36 companies in the energy sector and 41 companies in the financial industry recorded on the IDX and Yahoo Finance pages. ROA and ROE values are secondary data to be analyzed using descriptive and homogeneity of variance. As a result, the average ROA standard in the Indonesian energy industry sector is 8.11%, while the average ROE standard is 16.91%. In the Indonesian financial industry sector, the average ROA standard is 1.66%, while the average ROE standard is 6.00%.
Research in contemporary society: The role of artificial intelligence in academic research writing
Authors: Chuks Okolie Ugo , Nkechi Egbon Thomastina
Published: February 2025

The quality and effectiveness of the academic research writing process could be enhanced by applying artificial intelligence (AI). Researchers can easily and quickly generate precise, well-written, high-quality text using AI algorithms. The role of AI in academic writing has recently been the topic of discussion. Researchers have paid less attention to the importance of AI in academic research writing in developing countries even though it is widely used in academic research writing. AI has become a more significant component of academic writing in recent years. Therefore, this study aimed to examine AI applications in academic research writing. This study's data came from secondary sources such as books, journals, and websites that contained useful data. Moreover, an exploratory research design was employed, and the collected data was analyzed using content analysis. This study showed that AI helps academic writers create excellent content quickly and effectively. AI offers writing assistance, enhances grammar, optimizes structure, supports editing, and helps with ethical compliance. The study concluded that AI profoundly impacts academic research and writing across various fields. Academic research writers must address the potential disadvantages of using AI in academic research writing through action and ethical compliance. The study has contributed to a better understanding the benefits, challenges, and ethical considerations associated with AI's utilization in academic research writing. The study recommended, among others, that AI's transparent and ethical application is critical. Researchers are obligated to utilize AI tools to maintain the authenticity and creativity of their work while refraining from any improper use that might put academic credibility in danger.
Analisis tingkat kesehatan keuangan perusahaan BUMN di bidang konstruksi
Authors: Syahda Elza Levina , Pramudiati Ningrum
Published: February 2025

This study aims to analyze State-Owned Enterprises (BUMN) financial health in the building construction sector, specifically PT. WIKA, during the period from 2017 to 2023.  This analysis is conducted to improve the company's financial performance using eight financial indicators established in the Minister of BUMN Decree No: Kep-100/MBU/2002. The research results show that in 2023, PT. WIKA received the "Unhealthy" designation with a final weighted score of 29.13%, reflecting a significant decline in the Return on Equity (ROI) and Return on Investment ratios. (ROI).  This decline is caused by increased liabilities and decreased equity, which hinder debt management and operational efficiency.  In addition, horizontal and vertical analysis also revealed that the company is experiencing difficulties maintaining stable financial performance in asset management.  This research proposes recommendations for improvement steps such as enhancing operational efficiency, better debt management, and using technology for data visualization to support more accurate decision-making.  The results of this research are expected to assist and provide insights for the management of PT. WIKA in their efforts to improve the company's financial health in the future
Improving Employee Performance Through the Role of Employee Trust by Considering Employee Engagement and Organizational Culture
Authors: Hartono Rahmad , Soerjanto Soerjanto
Published: February 2025

This study set out to ascertain the relationship between employee trust as an intervening variable and the effects of organizational culture and employee engagement on employee performance. This research uses quantitative methods, namely by analyzing the Least Squares Technique (PLS). There were 120 participants in the study's sample. Saturated sampling was used to get primary data via questionnaires. Path analysis, direct effect, and indirect effect are among the data that are collected through the use of questionnaires and hypothesis testing. The findings demonstrated that while organizational culture and employee engagement had no direct impact on performance, they did have a favorable and considerable impact on employee trust. Employee performance is also positively and significantly impacted by employee trust. Employee engagement and organizational culture have a positive and significant effect on employee performance through employee trust. The relationship between employee engagement, company culture, and employee performance is mediated by the variable of trust. The results of this study can provide practical guidance for management and HRD in designing policies and programs aimed at improving employee performance through the development of trust, engagement, and a healthy organizational culture.
Impact of Sales Force and Training Hours on Sales Performance: A Case Study of PT. X's Retail Department
Authors: Yotapditya Igor , Sibarani Mentiana
Published: February 2025

This study evaluates how sales staff and training hours affect PT.X's retail sales performance from March 2021 to June 2023. The quantitative time series analysis shows that both variables significantly affect monthly gross merchandise value (GMV), with training hours having a greater effect. The regression study shows that each salesperson and training hour improve GMV by IDR 17,890,000 and IDR 168,189,000. The R² value of 0.645 emphasises the significance of sales training, as well-trained staff can improve sales outcomes and maintain performance during workforce reductions. Strategic managerial decision-making requires a balanced strategy that prioritises quality training to optimise sales success. Future research should consider additional factors such as market conditions and customer satisfaction for a comprehensive understanding.
Analysis of A Government – Owned Airline’s Organizational Culture in Improving Flight Services
Authors: Prihandini Diana , Marjuan Ricky , Krishantoro Krishantoro
Published: February 2025

This research aims to determine and analyze organizational culture at PT Garuda Indonesia. This was motivated by several problems related to the services provided during flights by passengers up to the Ombudsman. This research used qualitative methods and was conducted with several informants in positions as Aircrew, management and expert informants. This research was conducted at PT Garuda Indonesia for 5 months, namely from November to March. The results of this research are that the organizational culture at Garuda Indonesia airline has been implemented quite well. This shows that the organizational culture at Garuda Indonesia has provided or provided a sense of identity for the Aircrew. The organizational culture also creates an Aircrew commitment to remain committed to the organization's mission, particularly to high standards of safety and customer-oriented service delivered by professional and dedicated employees. Garuda Indonesia's organizational culture is also capable of guiding the words and actions of its employees, as well as making it clear what they should do and say in certain situations. However, there are two organizational culture factors that become obstacles in improving the quality of Aircrew services at Garuda Indonesia, namely: a) dynamic regulations in the Flight Attendant Service Guide Book (FASGB); b) Employees who find it difficult to adapt to regulatory updates. The solution to facing obstacles in improving the quality of aircrew services at Garuda Indonesia through organizational culture is: a) Regular socialization; and, b) Enforce more strictly regarding rewards and punishment.
Influence of Brand Image, Price and Product Quality on Honda Product Purchasing Decisions Vario motorbike in Tangerang City
Authors: Prayoga Riky Gilang
Published: February 2025

This research aims to analyze the influence of information, prices and purchasing decisions. The method used is multiple linear regression with the dependent variable being Purchase Decision and the independent variables being Brand Image, Price and Product Quality. The results of this research show that price and purchasing decisions have a significant effect on purchasing decisions
Service Quality and Promotion Impact on Purchasing Decisions and Consumer Satisfaction in Using Aqua Bottled Water by PT Tirta Investama in Gebang Purworejo District
Authors: Lestari Tri Wahyu , Nurjaya Nurjaya , Merdiani Wentri , Nova Putra Aditya , Rizky Nur Ainiyah Dini
Published: February 2025

This research aims to determine the influence of service quality and promotion on purchasing decisions which have an impact on consumer satisfaction in using Aqua bottled water produced by PT Tirta Investama in the Gebang Purworejo District Area. The method used is explanatory research with a sample of 96 respondents. The analysis technique uses statistical analysis with regression testing, correlation, determination and hypothesis testing. The results of this research are that service quality has a significant positive effect on purchasing decisions by 29.1%, the hypothesis test shows a significance of 0.000 <0.05. Promotion has a significant positive effect on purchasing decisions by 46.2%, hypothesis testing obtained a significance of 0.000 < 0.05. Service quality and promotion simultaneously have a significant positive effect on purchasing decisions by 49.6%, the hypothesis test obtained a significance of 0.000 <0.05. Purchasing decisions have a significant positive effect on consumer satisfaction of 30.1%, hypothesis testing obtained a significance of 0.000 <0.05.
Digital Marketing Strategies in the Era of Industry 4.0 in Leveraging Data to Enhance Customer Engagement
Authors: Indrawan Yossy Wahyu
Published: February 2025

This study aims to identify and analyze effective digital marketing strategies in the era of Industry 4.0, focusing on the utilization of data to enhance customer engagement. The Fourth Industrial Revolution has significantly transformed business operations, particularly in the areas of data collection, analysis, and utilization. Using SWOT analysis, this research evaluates the strengths, weaknesses, opportunities, and threats associated with digital marketing strategies implemented by companies in this context. The SWOT analysis helps identify the internal and external factors influencing the success of digital marketing strategies, providing insights into how companies can optimally leverage data to build stronger relationships with their customers. The findings indicate that with the proper use of data, companies can enhance customer engagement through more personalized and relevant marketing approaches. However, challenges such as data security and consumer privacy remain critical concerns. The study concludes that digital marketing strategies supported by robust data analysis and a deep understanding of consumer behavior can provide a significant competitive advantage in the era of Industry 4.0 .
Impact of Motivation and Tenure on Lecturer Competence and Performance
Authors: Hamsinah Hamsinah
Published: February 2025

This study aims to analyze the influence of motivation and tenure on lecturer competence, which impacts lecturer performance at Universitas Indonesia Maju. The research uses a quantitative approach with a survey method. The sample consists of lecturers who have NIDN at Universitas Indonesia Maju. The variables studied include motivation, tenure, competence, and lecturer performance. Data were collected through a questionnaire that was tested for validity and reliability. The results show that motivation and tenure significantly influence lecturer competence. Furthermore, lecturer competence significantly impacts lecturer performance. Data analysis indicates that achievement motivation and longer tenure tend to enhance lecturer competence in pedagogical, personality, social, and professional aspects. High competence positively contributes to the implementation of the Tridharma of Higher Education, including teaching, research, and community service. The study concludes that efforts to improve motivation and effectively manage tenure can enhance lecturer competence and performance, ultimately improving the quality of education at Universitas Indonesia Maju.