Artificial Intelligence, Change Leadership, and Employee Performance: Evidence from BUMN KCPs in Surakarta

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In the era of digital transformation, the adoption of Artificial Intelligence (AI) in the banking industry presents opportunities to increase efficiency as well as challenges in the form of concerns about the replacement of human roles by technology. This condition has the potential to affect employee performance and work attachment if not managed properly. This study aims to analyze the influence of Artificial Intelligence on Employee Performance and Job Attachment, as well as test the role of Change Leadership as a moderation variable in the context of state-owned banking. The quantitative approach was used by collecting data through a Google Form-based questionnaire which was distributed online and offline to 225 employees from 12 sub-branch offices of state-owned banks in the city of Surakarta. Respondents were selected using the probability cluster sampling technique. Data analysis was carried out using the Structural Equation Modeling method based on Partial Least Squares (SEM-PLS). The results of the study show that Artificial Intelligence has a positive but not significant effect on Employee Performance and Work Attachment. Then, the role of Change Leadership was found to be able to strengthen the influence of Artificial Intelligence on Employee Performance and Work Attachment, which emphasizes the importance of adaptive leadership in managing technological change. Theoretically, these findings enrich the perspective of Dynamic Capabilities theory by showing that the synergy between technology and change leadership shapes the ability of organizations to adapt in a digital environment. Practically, this research provides implications for the banking industry in optimizing the use of AI through adaptive leadership to improve employee performance and engagement in a sustainable manner.

Association Between Third-Trimester Maternal Anemia and Low Birth Weight: A Prospective Cohort Study at Sikumana Primary Health Center

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Background: Maternal anemia remains one of the most common complications during pregnancy and continues to pose a significant public health challenge, particularly in low- and middle-income countries. Reduced hemoglobin concentration during pregnancy may impair oxygen and nutrient transport from mother to fetus, potentially resulting in suboptimal fetal growth and adverse perinatal outcomes, including low birth weight.

Objective: To evaluate the association between anemia in third-trimester pregnant women and the incidence of low birth weight among newborns at Sikumana Primary Health Center.

Methods: This study employed an observational analytic design with a prospective cohort approach. A total of 50 third-trimester pregnant women and their newborns were enrolled. Maternal hemoglobin levels were measured using venous blood samples analyzed in the laboratory, while neonatal birth weight data were obtained from maternal and child health records or birth certificates. Data normality was assessed using the Kolmogorov–Smirnov test, and the relationship between maternal anemia and birth weight was analyzed using Pearson correlation.

Results: The prevalence of anemia among third-trimester pregnant women was 36%, while the incidence of low birth weight was 40%. The most frequently observed erythrocyte morphologies were microcytic hypochromic and normocytic normochromic patterns. Statistical analysis demonstrated a significant association between maternal anemia and low birth weight (p = 0.032), with a moderate correlation strength (r = 0.304).

Conclusion: Anemia in the third trimester of pregnancy was significantly associated with low birth weight among infants delivered at Sikumana Primary Health Center. Strengthening early detection and management of maternal anemia may contribute to improved neonatal outcomes.

The Impact of Using Problem-Based Learning (PBL) with Augmented Reality Flashcard on Elementary School Student’s Scientific Literacy and Problem Solving Skill in Solar System

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This study aims to examine the effect of the Problem Based Learning (PBL) model integrated with Augmented Reality (AR)-based flashcard media on the scientific literacy and problem-solving skills of elementary school students regarding the solar system. This quantitative research involved sixth-grade students at SDN Dabasah 3 Bondowoso, divided into an experimental class using PBL and AR flashcards and a control class using conventional methods. Data were collected through observations and essay tests. The results indicate a significant influence of the PBL model with AR flashcard media on both scientific literacy and problem-solving skills. This is evidenced by the thitung> ttabel values for both variables (3.764 > 2.026 for scientific literacy and 3.064 > 2.026 for problem-solving). Furthermore, the average problem-solving score for the experimental group is 82 was higher than that of the control group is 71.6. In conclusion, the integration of AR technology within the PBL model is effective in increasing student engagement, visualizing abstract concepts, and optimizing cognitive skills in elementary education.

The Influence of Broadcast Quality and Program Packaging of Going Seventeen on YouTube on Viewing Satisfaction

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Amid the dominance of digital media, the variety show Going Seventeen by the K-pop group Seventeen on YouTube has attracted considerable attention for its creativity and diverse content. This study aims to examine the influence of broadcast quality and program packaging on viewing satisfaction. Employing a quantitative explanatory approach, the research involved 400 respondents selected through simple random sampling. Data were analyzed using path analysis. The findings indicate that both broadcast quality and program packaging have a significant effect on viewing satisfaction; however, their combined influence is relatively modest. Moreover, program packaging exerts a slightly greater influence on viewing satisfaction than broadcast quality. Thus, although both variables jointly affect viewing satisfaction, program packaging is perceived as more influential than broadcast quality. Additionally, viewers particularly enjoy the comedic elements enhanced by the use of subtitles, which fulfil or even exceed their expectations. Nevertheless, certain aspects of editing remain areas for potential improvement.

Biodegradable Materials for Packaging Design to Minimize Environmental Impact and Reduce Carbon Dioxide

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The research titled “Biodegradable Materials for Packaging Design to Minimize Environmental Impact and Reduce Carbon Dioxide” addresses the global issue of plastic and cardboard packaging waste, which contributes significantly to climate change. The introduction highlights the massive production of plastics (50% in Asia, with China accounting for 29%) and cardboard (over 400 million tons annually, with recycling rates below 60%). In Mexico, 40% of cardboard ends up in landfills due to systemic inefficiencies.

A sustainable system is proposed based on two pillars: 3D printing with compostable organic filaments (such as PLA reinforced with agricultural waste: coffee, sugarcane bagasse, and rice husks) for internal inserts, and totomoxtle (corn husks pressed with bio-epoxy resins) as an alternative to rigid cardboard. These materials reduce CO2 emissions by 30–50% (average 45%) compared to fossil-based plastics and degrade within 4–12 weeks in industrial composting, promoting a circular economy and cultural value in Mexico.

The methodology is quantitative, correlational, and experimental, utilizing the SALSA method to review literature (2020–2025) from databases such as Nature and ScienceDirect. It includes a pilot study with convenience sampling in local companies, measuring variables such as CO2 reduction and industrial viability. Preliminary results confirm environmental and mechanical benefits but identify limitations in costs (2–3 times higher), scalability, and logistics. The analysis validates initial hypotheses, emphasizing the need for optimization to achieve industrial adoption and closing the gaps between theoretical potential and practical application.

Changes in Serum Electrolytes, Urea, And Creatinine Levels in Diabetic Patients on Insulin Treatment in Enugu Metropolis, Nigeria

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: Diabetes mellitus is a chronic metabolic disorder associated with disturbances in carbohydrate, protein, and electrolyte metabolism, often complicated by renal dysfunction. Insulin therapy plays a central role in glycemic control; however, its influence on serum electrolytes, urea, and creatinine levels remains clinically relevant. This study evaluated changes in serum electrolytes, urea, and creatinine levels among diabetic patients receiving insulin therapy compared with diabetic patients who are not on insulin treatment in Enugu Metropolis. A total of 60 diabetic patients aged 18 years and above were recruited for the study, comprising 40 insulin-dependent diabetic patients and 20 non-insulin-dependent diabetic patients. Serum sodium, potassium, calcium, chloride, and bicarbonate were analyzed using the ion-selective electrode (ISE) method, while serum urea was determined using the urease Berthelot method, and creatinine was estimated by the Jaffe’s kinetic method. Data were expressed as mean ± standard deviation (SD) and standard error of mean (SEM). Comparison between the two groups was performed using Student’s t-test, with p < 0.05 considered statistically significant. The insulin-dependent group showed mean serum sodium of 140.20 ± 5.10 mmol/L, potassium 4.50 ± 0.45 mmol/L, calcium 2.45 ± 0.16 mmol/L, chloride 103.50 ± 5.10 mmol/L, bicarbonate 24.00 ± 2.30 mmol/L, urea 7.00 ± 1.80 mmol/L, and creatinine 95.00 ± 15.00 µmol/L. When compared with non-insulin-dependent patients, insulin-dependent patients had significantly higher levels of sodium, potassium, calcium, and chloride (P<0.05). Serum urea and creatinine levels were significantly lower in insulin-dependent patients (P<0.05). No statistically significant difference was observed in serum bicarbonate levels between the two groups (P>0.05). These findings indicate that insulin therapy is associated with significant alterations in serum electrolytes and improved renal function indices among diabetic patients. Monitoring of electrolytes and renal parameters is therefore essential in the management of diabetic patients on insulin therapy.

Association Between Personal Hygiene Practices and Scabies-Like Symptoms Among Students Living in a Sports School Dormitory in Kupang, Indonesia: A Cross-Sectional Study

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Background: Scabies is a contagious skin disease with a high prevalence in communal living environments such as dormitories. Although personal hygiene is commonly regarded as a key preventive factor, growing evidence suggests that environmental conditions, crowding, and close physical contact may play a more substantial role in scabies transmission. Students living in sports school dormitories represent a population at increased risk due to shared facilities and intensive daily interactions.

Objective: To determine the association between personal hygiene practices and scabies-like symptoms among students residing in the dormitory of a Sports Talent School in Kupang City, Indonesia.

Methods: This analytical observational study employed a cross-sectional design. A total of 59 students aged 14–17 years were selected using simple random sampling. Personal hygiene was assessed using a structured questionnaire, while scabies-like symptoms were identified based on three clinical cardinal signs: nocturnal pruritus, history of close contact with an affected individual, and the presence of lesions at predilection sites. Microscopic confirmation was not performed. Data were analyzed using the Chi-square test with a significance level of p < 0.05.

Results: Most respondents demonstrated good personal hygiene practices (80.8%). Scabies-like symptoms were identified in 25.4% of participants. Statistical analysis showed no significant association between personal hygiene status and scabies-like symptoms (p = 0.282). Descriptively, the proportion of scabies-like symptoms was higher among students with poor personal hygiene (41.7%) compared to those with good hygiene (21.3%); however, this difference was not statistically significant.

Conclusion: No significant association was found between personal hygiene practices and scabies-like symptoms among students living in the Sports Talent School dormitory in Kupang City. These findings suggest that factors beyond individual hygiene, such as dormitory crowding, shared facilities, and close interpersonal contact, may play a more prominent role in scabies transmission in communal living settings.

“NET-ZERO Supply Chains” with Green Technology in a Multi-Stakeholder Framework: A Systematic Literature Review

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This research addresses the global urgency of climate change, highlighting that supply chains contribute to 25% of $CO_2$ emissions. It emphasizes decarbonization and resilience strategies driven by disruptions that demand net-zero models to mitigate risks. This transition requires a multi-stakeholder approach, involving actors such as suppliers, governments, and consumers to overcome barriers like resistance to change and a lack of standards, while integrating economic, social, and environmental perspectives.

The literature reveals fragmentation regarding drivers, barriers, and practices. This systematic review, following PRISMA guidelines, analyzes recent sources from Scopus, Web of Science, and Google Scholar, identifying patterns and recommending automation and trust-building. The objective is to examine the role of green technologies (AI, IoT, renewables) in sustainable multi-stakeholder chains, detecting gaps and proposing agendas for circular economies.

The study includes a pilot conducted in three logistics companies in Mineral de la Reforma, Hidalgo, Mexico, using convenience sampling. It evaluates net-zero viability via IoT to optimize distribution, achieving emission reductions of 20-30% and overcoming digital limitations with state support. Results were validated using a two-way ANOVA ($p < 0.001$), confirming significant effects.

It concludes by reinforcing net-zero functionality and proposing expansions toward probabilistic sampling in Latin America, blockchain integration, post-2030 AI modeling, and the evaluation of regulations such as the Green Deal.

From Academic to Community: An Immersion of Grade 8 RS/VE Students

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 This study examined the impact of a community-based extension program on the values formation and real-life application of learning among Grade 8 Religious Studies and Values Education (RS/VE) students of Notre Dame University Junior High School. Anchored on the MATATAG Curriculum’s emphasis on holistic, experiential, and values-based learning, the study focused on a community immersion conducted at Bahay Maria, a shelter for abandoned, sick and elderly individuals in Cotabato City. Using a descriptive-evaluative research design, data were gathered from 68 purposively selected students through a researcher-made questionnaire administered before and after the immersion to assess their expectations and actual experiences. Descriptive statistics and a paired samples t-test were employed for data analysis. Results revealed that students entered the program with positive, value-oriented expectations, particularly in empathy, moral responsibility, and application of school-learned values. Their actual experiences likewise reflected meaningful engagement, strengthened empathy, and enhanced moral awareness. Statistical analysis showed no significant difference between students’ expected and actual experiences, indicating that the program effectively met learners’ anticipated outcomes. Furthermore, qualitative interpretation of the findings demonstrated that community immersion facilitated the translation of academic learning into concrete acts of service, while fostering social responsibility and awareness, especially toward the elderly. The study concludes that community-based extension programs are effective platforms for integrating values education with authentic community engagement.

Assessing SiGapLapor’s Effectiveness in Handling Alleged 2024 Election Violations: Evidence from South Sumatra Provincial Bawaslu (A Qualitative Study Using Etzioni’s Indicators)

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Elections increasingly rely on digital reporting and case-handling systems to enhance oversight, transparency, and accountability in the management of alleged violations. In Indonesia, Bawaslu has implemented SiGapLapor to support structured reporting and handling processes across institutional levels. However, the effectiveness of such platforms relies not only on system availability but also on organisational readiness, coordination, and sustained use during peak election workloads. Empirical evidence on how SiGapLapor performs in operational practice at the provincial level remains limited. This study assessed the effectiveness of SiGapLapor in addressing alleged 2024 election violations at the South Sumatra Provincial Bawaslu, employing a descriptive qualitative design. Data were collected through structured interviews, observation, and documentation, involving six key informants from relevant managerial and operational roles. The analysis employed Etzioni’s effectiveness indicators—adaptation, integration, member motivation, and production—operationalised through readiness, socialisation, implementer capacity, and an input–process–output framework. Findings were systematically mapped to each indicator to highlight strengths and constraints in implementation. Results indicate that adaptation and integration were deemed adequate, and production supported structured inputs, a transparent workflow, and traceable outputs. Member motivation was not yet practical due to workload surges and a shortage of trained personnel, resulting in manual intake and delayed system entry during peak periods. This study presents an organisational-effectiveness evaluation of a digital platform for handling election-related violations, using Etzioni’s framework in a real provincial oversight context. The findings provide practical insights into which effectiveness dimensions operate well and which operational constraints should be prioritised to improve implementation consistency.