Eduvest - Journal of Universal Studies

Daun Cincau Hijau (Premna Oblongifolia) Has the Potential to Improve Spermatozoa Quality in Hyperglycemic White Rats (Rattus Norvegicus)

Etty Widayanti, Aan Royhan, Annisa Nur Azzahra Kananta, Annisa Azzahra — Sat, 07 Feb 2026 00:00:00 +0000

Diabetes mellitus is a health problem that has a wide impact on various organs, including the male reproductive system. Chronic hyperglycemia can increase oxidative stress and deteriorate the morphological quality of spermatozoa. The leaves of the green grasshopper (Premna oblongifolia) contain flavonoids and antioxidants that have the potential to suppress oxidative stress and repair histological damage caused by hyperglycemia. This study aims to assess the effect of green grasshopper leaf extract on blood glucose levels and spermatozoa quality by evaluating the Johnsen score and spermatozoa morphology in hyperglycemic mice. The study used an experimental design with a post-test-only control group approach. A total of twenty-four male mice were randomly divided into four groups: normal control, negative control, and two treatment groups that received green grasshopper leaf extract at doses of 200 and 400 mg per kg of body weight. Diabetes was induced using streptozotocin, while the green grasshopper leaf extract was obtained by the maceration method and administered orally for fourteen days. The results showed that a dose of 400 mg per kg of body weight significantly reduced blood glucose levels compared to the negative control. In addition, the high-dose treatment group showed a near-normal Johnsen score and a decrease in the number of abnormal spermatozoa. These findings indicate that green grasshopper leaf extract has potential as a phytotherapeutic agent that not only lowers blood glucose levels but also improves the reproductive quality of males impaired by diabetes mellitus.

Extractive Summarization in Low-Resource Languages: A Systematic Review

Mon, 16 Feb 2026 00:00:00 +0000

NLP advancements have accelerated Automatic Text Summarization research, but development remains skewed toward high-resource languages. Low-resource languages are underrepresented due to limited digital corpora, scarce linguistic tools, and a lack of locally suitable pre-trained models. This research aims to map, identify, and analyze research trends related to extractive summarization in low-resource languages and to formulate future research directions. This study employs a systematic literature review following the PRISMA 2020 protocol. Articles were collected from the ScienceDirect, IEEE Xplore, and Google Scholar databases, covering the 2020–2025 period. A total of nine publications meeting the inclusion criteria were thoroughly analyzed based on six research questions (RQ) formulated using the PICOC framework. Most studies rely on unsupervised approaches such as TextRank, LexRank, and LSA, with key features including word frequency, sentence position, and semantic proximity. News corpora dominate the domain, while system performance evaluation remains limited to traditional metrics such as ROUGE and F1-Score. Identified challenges include limited annotated datasets, the absence of local NLP models, and a lack of meaning-based evaluation approaches. This study confirms that linguistic inequality persists in text summarization, with most research relying on unsupervised methods and lexical evaluation. To address this, three strategic directions are recommended: developing open, diverse language corpora; adopting adaptable lightweight NLP models; and advancing semantic evaluation approaches. Cross-community and interdisciplinary collaboration is essential for building more inclusive and sustainable automatic text summarization systems.

The Effect of Capital Strengthening, Corporate Governance Implementation, and Risk Management on Financial Performance and its Implications for Business Sustainability at PT BPR Rama Ganda Bogor

Linda Sri Rezeki, Cecep Taofiqurrochman, Tatang S Herisman — Fri, 06 Feb 2026 00:00:00 +0000

This study examines the influence of capital strengthening, corporate governance implementation, and risk management on financial performance and its implications for the business sustainability of PT BPR Rama Ganda Bogor during 2017–2024. The study is motivated by the critical need to integrate these three elements to maintain the stability and competitiveness of rural banks (BPR) amid global economic challenges, the pandemic, and increasing regulatory pressures. Financial performance is measured using CAR (Capital Adequacy Ratio), LDR (Loan to Deposit Ratio), NPL (Non-Performing Loan), and ROA (Return on Assets), while business sustainability is evaluated based on the bank’s ability to develop products, maintain customer trust, and comply with sustainable finance principles. Descriptive analysis indicates an average CAR of 21.36%, LDR of 90.01%, NPL of 11.30%, and ROA of 3.25%, reflecting adequate capital stability and sufficient liquidity but room for improvement in asset quality. Findings reveal that capital strengthening, corporate governance, and risk management collectively have a significant impact on financial performance. Furthermore, strong financial performance positively influences business sustainability, including regulatory compliance, expansion of sustainable credit portfolios, and maintenance of stakeholder confidence. The study emphasizes that the synergy between capital, governance, and risk management must be internalized integrally into organizational culture and strategy, enabling BPR to manage risks effectively, maintain profitability, and ensure long-term business continuity. The results provide strategic recommendations for BPR and similar microfinance institutions to optimize capital, governance, and risk management as foundations for growth and sustainable operations in an uncertain economic environment.

The Role of Janus Kinase Inhibitors in Dermatology

Rika Desviorita, Gardenia Akhyar — Mon, 09 Feb 2026 00:00:00 +0000

Janus kinase (JAK) is an intracellular protein of non-receptor tyrosine kinase that functions in cellular regulation and cytokine signaling, thereby producing inflammation. Inhibition of JAK with small molecules that modulate cytokines by blocking the release of Adenosine Triphosphate (ATP) for JAK phosphorylation can prevent inflammation. These molecules are known as Janus Kinase Inhibitors (JAKi). Several related studies have demonstrated that JAKi can be used in the treatment of autoimmune and neoplastic conditions both topically and systemically. Currently, JAKi has been utilized in dermatology and has obtained approval from the Food and Drug Administration (FDA), primarily for treating Atopic Dermatitis (AD), Alopecia Areata (AA), psoriasis, and vitiligo. This review examines the molecular mechanisms of JAK/STAT pathway dysregulation in inflammatory skin diseases, evaluates the efficacy and safety profiles of both topical and systemic JAKi formulations across multiple dermatological conditions, and compares their therapeutic effectiveness against conventional immunosuppressants and biologic agents. The findings indicate that JAKi demonstrates superior rapid onset of action, multi-target cytokine suppression, and favorable safety profiles in short-to-medium term use, positioning them as innovative therapeutic alternatives for patients with treatment-refractory inflammatory skin diseases.

Criminal Liability for the Creation and Distribution of Deepfake Pornographic Videos on Social Media

Ruben Nicholas Alfredo Tobing, Yuliana Yuli — Fri, 06 Feb 2026 00:00:00 +0000

The advancement of information technology, particularly artificial intelligence, has significantly influenced various aspects of human life while simultaneously giving rise to new forms of cybercrime, including the misuse of deepfake technology. Deepfake technology is frequently exploited to create and disseminate pornographic content on social media platforms, resulting in serious violations of victims’ privacy, dignity, and psychological well-being. This study examines criminal liability for the creation and distribution of deepfake-based pornographic content under Law Number 44 of 2008 on Pornography and Law Number 19 of 2016 on Electronic Information and Transactions, as well as the challenges faced in law enforcement. This research adopts a normative legal research method using statutory and conceptual approaches, supported by library research on relevant legislation and legal doctrines. The findings reveal that current legal regulations in Indonesia have not explicitly addressed deepfake technology, leading to difficulties in legal qualification, evidence gathering, and effective law enforcement. Therefore, this study emphasizes the urgency of strengthening and updating legal frameworks to ensure legal certainty and provide comprehensive protection for victims of deepfake-related crimes.

Legal Certainty in Recovering State Financial Losses in Corruption Crimes

Deby Rimenda Br Ketaren, Kiki Kristanto, Rico Septian Noor — Fri, 13 Feb 2026 00:00:00 +0000

Corruption, as an extraordinary crime, requires extraordinary measures—especially in recovering state financial losses—which demands legal certainty. This research aims to analyze legal certainty in procedures for recovering state financial losses caused by criminal acts of corruption, focusing on the role of public prosecutors and the effectiveness of the applicable legal mechanisms. Using normative legal research methods with legislative and conceptual approaches, this study processes primary and secondary legal materials through documentation and interpretative analysis techniques. The results of the study show that although procedures for recovering state losses are regulated in the Corruption Eradication Law and its derivative regulations, legal certainty has not been fully realized due to the unclear authority of the public prosecutor or the Corruption Eradication Commission (KPK) in tracking and seizing assets, as well as weak synchronization between criminal and civil instruments. Therefore, this study recommends reformulating regulations that explicitly define the authority of law enforcement agencies, providing adequate facilities and infrastructure for the Attorney General’s Office and the KPK, and strengthening the role of the community in reporting criminal acts of corruption. These efforts are expected to create legal certainty in the recovery of state losses, increase the effectiveness of restitution, and restore public confidence in the judicial system.

Criminal Liability of Participants in the Commission of the Crime of Fraud (A Study of Decision Number: 46/Pid.B/2021 PN MGG)

Try Romanto Wibisono — Fri, 13 Feb 2026 00:00:00 +0000

Fraud is a criminal offense against property, primarily regulated under Article 378 of the Indonesian Criminal Code (KUHP). This crime may be committed jointly with others, known as participation. The criminal liability of each participant can vary based on their role and involvement. This study applies a normative legal research method using secondary data from literature studies, analyzed through qualitative descriptive analysis. Based on the findings in Decision No. 46/Pid.B/2021/PN Mgg, the defendants fulfilled the criteria of criminal responsibility (actus reus) by committing acts prohibited under Article 378 in conjunction with Article 55(1) to 1 of the Criminal Code, consistent with Hans Kelsen's theory of legal responsibility. Gustav Radbruch's theory of legal certainty further emphasizes that law must be both certain and fair, taking into account all relevant aspects of the case. The panel of judges found the defendants legally and convincingly guilty of jointly committing fraud. Consequently, sentences of one year and ten months, and one year and two months of imprisonment were imposed. The judge's considerations included legal grounds, trial facts, witness testimonies, evidence, judicial conviction, and applicable criminal sanctions.

Enhancing Telecommunication Infrastructure Performance Through Dynamic Capabilities: The Mediating Roles of GRC Implementation and Artificial Intelegent Adoption

Tri Haryanto, Alfira Sofia — Fri, 06 Feb 2026 00:00:00 +0000

The telecommunications infrastructure sector faces unprecedented challenges in balancing operational efficiency, regulatory compliance, and digital transformation amid capital-intensive investments exceeding USD 428 billion globally in 2023. This study investigates how telecommunication infrastructure organizations can enhance their performance through dynamic capabilities, examining the mediating roles of Governance, Risk, and Compliance (GRC) implementation and Artificial Intelligence (AI) adoption. Drawing on Dynamic Capabilities Theory (Teece et al., 1997) and the Resource-Based View (Barney, 1991), this research develops and tests an integrated framework using data from 87 telecommunication infrastructure organizations across 23 countries spanning 2019–2023. Structural Equation Modeling (SEM) was employed to analyze the relationships between dynamic capabilities, GRC implementation, AI adoption, and organizational performance using secondary data from annual reports, industry databases (ITU, GSMA Intelligence), and regulatory filings. The results reveal that dynamic capabilities significantly influence organizational performance both directly ( , ) and indirectly through GRC implementation ( , ) and AI adoption ( , ). GRC implementation and AI adoption exhibit complementary mediating effects, together explaining 68.3% of the variance in organizational performance ( ). The findings provide strategic guidance for telecommunication infrastructure managers to systematically develop sensing, seizing, and reconfiguring capabilities while concurrently strengthening governance frameworks and accelerating AI-enabled transformation. This research integrates dynamic capabilities theory with GRC and AI adoption frameworks, explicating mechanisms through which capabilities translate into superior performance in infrastructure-intensive sectors.

The Influence of Organizational Culture, Work Environment, and Leadership Style on Work Motivation and its Impact on Job Satisfaction of Generation Z Civil Apparatus (ASN) in the Bandung Regency Government

Mon, 09 Feb 2026 00:00:00 +0000

The research background is based on the conditions of Generation Z entering the workforce and their distinct work expectations. This study aims to analyze the influence of Organizational Culture, Work Environment, and Leadership Style on Work Motivation and their impact on the Job Satisfaction of Generation Z Aparatur Sipil Negara (ASN) in the Bandung Regency Government. The research method employs a descriptive and verification approach, utilizing questionnaires for data collection and Structural Equation Modeling (SEM) for analysis. The findings indicate that Organizational Culture, Work Environment, and Leadership Style have a positive and significant effect on Work Motivation. Directly, Organizational Culture and Leadership Style significantly influence Job Satisfaction, whereas Work Environment does not have a significant effect. Work Motivation is shown to have the most dominant influence on Job Satisfaction and acts as a mediator in the relationship between Organizational Culture and Job Satisfaction, but does not mediate the influence of Work Environment and Leadership Style on Job Satisfaction. Overall, the study highlights the importance of strengthening organizational culture, promoting adaptive leadership, and enhancing motivational aspects to support the job satisfaction of Generation Z civil servants in facing bureaucratic transformation.

Application of Design Thinking in the Development of the Beres.in Application: an Integrated Solution for Moving and Home Cleaning Services

Ainiyya Hana Pathi Seruni, Yulia Suryadi, Gindu Siswo — Thu, 12 Feb 2026 00:00:00 +0000

The increase in mobility of urban residents, especially in Bogor City, has created a new need for moving and home cleaning services that are efficient, transparent, and easily accessible digitally. Changes in the lifestyle of urban communities that demand convenience and practicality encourage the need for integrated solutions that address the challenges of time efficiency and trust in service providers. This research aims to develop the concept and design of the "Beres.in" application as an integrated home cleaning and moving service platform using a design thinking approach. The research is carried out through four stages, namely empathize, define, ideate, and prototype, in order to understand user needs in depth and test to explore user needs and formulate empathy-based solutions. The results of the study show that potential users are dominated by Generation Z women and millennials who have a high level of digital activity and prioritize time efficiency. The main problems found include price uncertainty, lack of trust in workers, and limited schedule flexibility. Based on these findings, an application prototype was developed with automatic price estimation features, verified worker profiles, a real-time booking system, and direct communication channels to increase user trust and comfort. This research has original value in integrating two different services into one digital ecosystem based on user-centered design, and proves that the application of design thinking is effective in producing service innovations that are adaptive to the needs of modern urban society.

The Influence of Work Discipline, Motivation, Competence, and Work Environment on Work Productivity

Mon, 09 Feb 2026 00:00:00 +0000

Work productivity is one of the most important aspects of an organization. It refers to the results of employees’ work within a certain period, carried out effectively and efficiently by considering the resources used to perform their tasks. This study aims to empirically test and analyze the influence of work discipline, motivation, competence, and work environment on work productivity, both partially and simultaneously. The method used in this study is a quantitative research method with a descriptive and verification approach. The data sources consist of primary and secondary data. Data collection techniques used include interviews, questionnaires, observations, and library research conducted both online and offline. The population in this study includes all 36 employees; therefore, the sampling technique applied is a census sample or total sampling. The analytical tool used is SPSS version 25. The validity and reliability of the data were assessed through validity and reliability tests, classical assumption tests, and data analysis techniques such as multiple linear regression, correlation, and coefficient of determination analyses. Hypothesis testing was conducted using the t-test (partial) and F-test (simultaneous). The results of this study indicate that work discipline, motivation, competence, and work environment have a positive and significant effect on work productivity, both partially and simultaneously, with a contribution of 93.3%, while the remaining 6.7% is influenced by other variables not examined in this study.

Critical Analysis of Toll Road Investment Through A Systematic Literature Review Approach: Trends, Challenges, and Opportunities

Rio Rizqi Septiawan, Oei Fuk Jin — Fri, 13 Feb 2026 00:00:00 +0000

Toll Road Investment is a key strategy in transportation infrastructure development aimed at improving connectivity, logistics efficiency, and economic growth. However, financing complexity, regulatory uncertainty, and socio-political risk dynamics make this investment face serious challenges. Twenty scientific articles published in Q1–Q3 between 2019–2024 were evaluated based on their study focus, key findings, geographic context, and journal rankings. The research results indicate that toll road investment trends are undergoing a significant transformation, marked by the dominance of Public–Private Partnership (PPP) schemes, the integration of digital technology, and a lifecycle-based management approach. Meanwhile, the key challenges identified include a weak regulatory framework, financial risks, limited government capacity, and minimal stakeholder involvement. Conversely, opportunities can be leveraged through strengthening project governance, utilizing innovative contract models, and adopting risk- and sustainability-based performance evaluation systems. These findings are expected to provide theoretical and practical contributions to academics, policymakers, and investors in designing more adaptive and sustainable toll road investment strategies in the future

The Influence of Credit Approval Policy Through the 5C Principle (Character, Capacity, Capital, Collateral, Condition of Economy) on Credit Asset Quality and Its Implications on NPL (Non-Performing Loan) Level PT. BPR YSL Bandung

Teti Ofianti, Tatang S Herisman, Cecep Taofiqurrochman — Thu, 05 Feb 2026 00:00:00 +0000

This study aims to analyze the effect of credit approval policies based on the 5C principles on credit asset quality and their implications for the level of Non-Performing Loans (NPL) at PT. BPR YSL Bandung. The phenomenon of fluctuating NPL levels that exceed the maximum threshold set by the Financial Services Authority (OJK) highlights the importance of evaluating the effectiveness of credit approval policies. This research adopts a quantitative approach using a survey method. Primary data were collected through questionnaires distributed to internal bank employees involved in the credit approval and monitoring process, while secondary data were obtained from NPL reports covering the period from June 2024 to May 2025. Path analysis was employed to examine both direct and indirect relationships among variables. The results indicate that credit approval policies implemented through the 5C principles have a positive and significant effect on credit asset quality. Furthermore, credit asset quality has a significant influence in reducing the level of NPL. The findings also reveal that credit approval policies have a direct and significant effect on NPL. In addition, credit asset quality acts as a mediating variable that strengthens the relationship between credit approval policies based on the 5C principles and NPL levels. These results emphasize that consistent and comprehensive implementation of the 5C principles is essential to maintain credit asset quality and improve the financial health and stability of rural banks. This study is expected to provide valuable insights for bank management in enhancing credit risk management strategies.

Neglected Pathological Fracture on the Proximal Femur Due to Simple Bone CYST: Successful Reconstruction Using Bone Graft and Osteosynthesis

Onarisa Ayu, Javier Arrazi — Fri, 06 Feb 2026 00:00:00 +0000

Simple Bone Cyst is a benign osteolytic lesion commonly found in children and adolescents, predominantly affecting the metaphyseal region of long bones such as the proximal humerus and femur. Although SBC is generally asymptomatic, it poses a significant clinical concern for its association with pathological fractures, particularly in weight-bearing bones. Pathological fractures of the proximal femur caused by SBC are relatively rare but may lead to functional impairment, delayed healing, and long-term disability if not managed appropriately. The absence of standardized treatment guidelines for neglected pathological fractures associated with SBC further complicates clinical decision-making. This study reports a case of an 11-year-old female patient presenting with a neglected pathological fracture of the proximal femur secondary to a simple bone cyst. Clinical evaluation and radiographic examination revealed a lytic lesion with cortical thinning accompanied by a fracture in the proximal femoral region. Surgical management was performed through biopsy and curettage of the cystic lesion, followed by open reduction and internal fixation using a locking plate and screws, combined with autologous bone graft harvested from the iliac crest. Postoperative follow-up at five months demonstrated satisfactory radiological and functional outcomes, including callus formation, stable fixation, and restoration of full range of motion without pain. This case highlights that surgical curettage combined with bone grafting and osteosynthesis is an effective treatment strategy for managing neglected pathological fractures of the proximal femur due to SBC. Early surgical intervention plays a crucial role in preventing recurrence, ensuring structural stability, and restoring functional outcomes in pediatric patients.

The Impact of NO2 and SO2 Pollutants on Respiratory Diseases: A Case Study of Indonesia

Reizka Asadelia Rafmawan — Fri, 06 Feb 2026 00:00:00 +0000

Air pollution remains a significant public health challenge in Indonesia, driven by rapid industrialization and urbanization. Key pollutants such as NO₂ and SO₂ are strongly linked to respiratory conditions, yet comprehensive national evidence on their age-specific impacts remains limited. This study aims to examine the causal effects of NO₂ and SO₂ exposure on the incidence of acute respiratory infections (ARI), pneumonia, and asthma in Indonesia, with a particular focus on differences across age groups. This study employs a quasi-experimental design using district-level pollution data and individual health data from Riskesdas 2018. Analysis was conducted via multiple linear regression, coefficient stability testing, and IPW to estimate robust causal associations. Age-stratified analysis was performed across five groups: 0–4, 5–17, 18–49, 50–74, and 75+ years. Results show that NO₂ exhibits a strong positive association with ARI incidence, particularly among children aged 0–4 and 5–17 years, and is linked to asthma in adults aged 18–49. SO₂ shows significant positive effects on ARI among older adults (50–74 years) and on asthma in those aged 75 and above. However, unexpected negative or non-significant relationships were found between NO₂ and pneumonia/asthma, and between SO₂ and certain outcomes, likely reflecting data constraints and unobserved confounders. In conclusion, this study reveals age-specific pollutant–health relationships and underscores the need for targeted air quality interventions. Recommendations include strengthening monitoring systems, implementing pollutant-specific warnings, and integrating environmental–health data to support evidence-based policies and protect vulnerable groups.

Validity And Reliability Of Parents' Knowledge And Attitudes Toward Hearing Impairment In Children Questionnaire Adaptation In Bahasa Indonesia

Annisa Nurul Khakimah, Dewi Pratiwi, Novi Primadewi — Fri, 13 Feb 2026 00:00:00 +0000

Hearing impairment in children is a health issue that significantly affects communication abilities and social development. The role of parents is crucial in the early detection and intervention process, which is influenced by the level of knowledge and attitude toward the child’s condition. The research aim to evaluate the validity and reliability parents' knowledge and attitudes toward hearing impairment in children questionnaire adaptation in bahasa indonesia. In the context of the Deaf Family Solo Raya (DFSR) community. This research employed a descriptive quantitative approach with a cross-sectional design. The sample consisted of 30 parents who are members of the DFSR community. The instrument used was a questionnaire adapted from the 2007 Position Statement and studies by Kaspar et al. and Alsudays et al., comprising 25 items on knowledge and 6 items on attitude. Validity was tested using Pearson correlation, and reliability was assessed using Cronbach’s Alpha. The relationship between variables was analyzed using Pearson correlation with the assistance of SPSS version 26. All items on the knowledge and attitude variables were declared valid (p < 0.05) and reliable, with Cronbach’s Alpha values of 0.963 (knowledge) and 0.761 (attitude). A significant positive correlation was found between parental knowledge and attitudes toward childhood hearing loss (r = 0.761; p = 0.000). A high level of knowledge is closely associated with a positive attitude in addressing childhood hearing loss. This study recommends the importance of community-based educational and parental empowerment programs to support optimal early detection and intervention.

The Relationship Between Knowledge Level of Noise Exposure and the Pattern of Personal Listening Devices (PLDS) Usage

Thu, 05 Feb 2026 00:00:00 +0000

This study examines the relationship between the level of knowledge about noise exposure and PLDs usage patterns among 2024 Cohort Medical Students, Faculty of Medicine, by describing PLD usage patterns based on user characteristics and type, duration of exposure, and volume of use. The study employs a descriptive analysis with a cross-sectional approach involving 154 students. This study uses the chi-square test, strengthened by the Spearman correlation test. The results showed that most students using PLDs were women (72.1%) and aged ≥18 years (94.2%). Knowledge levels were mostly categorized as good (86.4%). PLD usage patterns by type were predominantly in-ear (69.5%), with duration of exposure ≤60 minutes (58.4%) and volume ≤60% (81.8%). A significant relationship existed between knowledge level about noise exposure and PLD usage patterns [based on type (p = 0.006), duration of exposure (p = 0.001), and volume (p = 0.000)], with an odds ratio indicating that good knowledge was 214.5 times more likely to be associated with good usage patterns (OR > 1). The research analysis confirmed a relationship between knowledge level about noise exposure and PLD usage patterns.

Digital Self-Efficacy and Organizational Support: a Pathway to Digital Resilience and Performance

Vellen Wibowo — Mon, 16 Feb 2026 00:00:00 +0000

This study aims to examine the role of digital self-efficacy in predicting digital resilience, with perceived organizational support as a mediator between digital resilience and employees’ performance in technology-based companies. This analysis seeks to uncover individual and organizational factors that foster adaptability and productive growth in the digital era. The study was conducted using a quantitative survey design with a cross-sectional approach among digital-intensive workplaces in the technology, finance, education, and e-commerce sectors. A total of more than 320 participants were recruited through online stratified random sampling. A 5-point Likert scale was used to measure responses, and Structural Equation Modeling (SEM) was employed to examine direct, indirect, and moderating effects among the study constructs. The results indicate that digital self-efficacy is significantly and positively related to digital resilience, which in turn influences employee performance. Perceived organizational support serves as a moderator in the relationship between resilience and performance, highlighting the interdependence between individual digital competencies and organizational support systems. This study contributes to the theoretical foundation of digital resilience by integrating both individual and organizational perspectives. The findings suggest that organizations should focus on enhancing employees’ digital self-efficacy, fostering supportive work climates, and promoting lifelong learning. Such initiatives are vital in building resilience, unlocking creativity, and sustaining long-term performance amid ongoing digital disruption.

The Effect Of Digital Competence On Employee Performance Through Artificial Intelligence Adaptation As An Intervening Variable

Tue, 10 Feb 2026 00:00:00 +0000

This study aims to analyze the effect of Digital Competence, Technology Readiness, and Leadership Style on Employee Performance through the adaptation of Artificial Intelligence (AI) among employees at PT Sewangi Alam Nusantara. The study is motivated by the need to improve employee effectiveness, efficiency,and work quality in the digital era, where digital literacy,readiness of technological infrastructure, and adaptive leadership are key factors supporting adaptation to AI-based innovations. The research employed a quantitative approach with data collected through questionnaires distributed to 102 employees. Data analysis was conducted using Structural Equation Modeling (SEM)via Smart PLS 3.0 to examine both direct and indirect relationships among variables. The results indicate that Digital Competence (path coefficient = 1.740), Technology Readiness (2.731), and Leadership Style (1.844) positively affect Employee Performance. These three variables also contribute positively to AI Adaptation (0.534; 0.834; 1.063), which significantly mediates the improvement in employee performance (0.423), resulting in a total mediated effect of 0.917. The study concludes that a combination of digital competence, technology readiness, and adaptive leadership, reinforced by AI adoption, is a critical factor in enhancing employee productivity and performance. Practical implications include the need for digital literacy development, upgrading technological infrastructure,and applying leadership styles that support digital transformation to ensure optimal AI implementation in the workplace.

Multimodal Visual Social Semiotic Analysis of Political Campaigns Media: A Case Study of the Amin Banner in the 2024 Indonesian Presidential Election

Annisaa Syifa Nuramalina, Eva Leiliyanti, Miftahulkhairah Anwar — Fri, 06 Feb 2026 00:00:00 +0000

In the 2024 Indonesian presidential election, campaign props such as banners and billboards function not only as promotional media but also as sites of ideological representation and symbolic political communication. This study aims to examine how visual elements in campaign banners construct the political identity of the Anies Baswedan–Muhaimin Iskandar (AMIN) candidate pair through the lens of visual social semiotics. Employing a qualitative case study approach, the research applies Kress and van Leeuwen’s multimodal discourse framework to analyze the representational, interpersonal, and compositional metafunctions embedded in selected AMIN campaign banners. Data were collected through field observation and visual documentation and then purposively selected based on analytical relevance. The findings reveal that the AMIN campaign strategically organizes visual structures—such as gaze, gesture, color, spatial composition, and symbolic attributes—to project an image of inclusivity, credibility, and ideological commitment to social change. By integrating social semiotic theory with empirical analysis of Indonesian political campaign media, this study contributes to a deeper understanding of how multimodal visual resources function as persuasive and meaning-making tools in contemporary electoral politics.

Metagenomics as a Diagnostic Method for Identifying Microbiota Profiles in Diarrhea Cases

Rahmat Apipi, Linda Erlina — Fri, 13 Feb 2026 00:00:00 +0000

Diarrhea remains a major global health issue and is one of the leading causes of morbidity and mortality, especially in children. Changes in the composition of gut microbiota are strongly associated with the occurrence of diarrhea, particularly due to infections caused by pathogenic microorganisms. Conventional diagnostic techniques, such as culture, still have limitations in detecting diverse and unculturable microbes. Metagenomics offers a comprehensive diagnostic solution by analyzing the entire genetic material directly from stool samples using sequencing-based approaches. This review discusses two metagenomic strategies—16S rRNA sequencing and whole-genome shotgun metagenomic sequencing—based on studies conducted in India and Peru. The 16S rRNA approach enables the identification of bacterial community structure and dysbiosis in diarrhea cases, while shotgun metagenomics provides higher resolution for detecting pathogenic species, including Campylobacter spp., and co-infections that are often missed by standard methods. Both techniques demonstrate significant advantages in detecting microbiota diversity, identifying novel pathogens, and uncovering antimicrobial resistance profiles. Therefore, metagenomics represents a promising diagnostic tool for improving the accuracy of diarrhea detection and supporting public health interventions in endemic regions.

The Influence of AI Technology on Employee Engagement

Tue, 10 Feb 2026 00:00:00 +0000

This study aims to analyze the influence of the use of AI HR Chatbot, technology adaptation, and AI-based performance appraisal systems on employee engagement with internal communication effectiveness as an intervening variable among employees at Bank Banten Head Office. The research background is based on the phenomenon of decreased employee performance and the adaptation challenges to the digital transformation being carried out by the company. The use of Artificial Intelligence (AI) based technology in human resource management is expected to increase the effectiveness of internal communication, appraisal transparency, and employee involvement in the organization6. The research method used is a quantitative approach with data collection through questionnaires distributed to employees at Bank Banten Head Office. Data analysis was performed using path analysis technique to test the direct and indirect relationships between variables8. The results show that the use of AI HR Chatbot, technology adaptation, and AI-based performance appraisal systems have a positive and significant influence on employee engagement, both directly and through internal communication effectiveness as a mediating variable9. Internal communication effectiveness is proven to strengthen the relationship between AI-based technology and the level of employee involvement. The conclusion of this study confirms the importance of integrating AI technology into the human resource management system supported by effective internal communication to enhance emotional attachment, motivation, and employee performance. The practical implication of this research is the need for a human-centered digitalization strategy and transparent communication policies so that the implementation of AI in the workplace can run optimally.