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This study aims to analyze the role of the Regional Disaster Management Agency (BPBD) of East Flores Regency in managing the eruption disaster of Mount Lewotobi Laki-Laki during the pre-disaster, emergency response, and post-disaster phases. The study employed a descriptive qualitative method involving 18 informants from BPBD and affected communities in Wulanggitang and Ile Bura Sub-districts. Data were collected through observation, interviews, and documentation. The findings show that during the pre-disaster phase, BPBD implemented preparedness measures through disaster-prone area mapping, the establishment of Disaster Preparedness Teams and Disaster-Resilient Villages, public outreach, and the use of local wisdom. However, outdated contingency plans, limited early warning systems, weak relocation efforts, and low public awareness contributed to panic and casualties during the eruption. In the emergency response phase, BPBD successfully coordinated evacuation efforts, established emergency posts, and distributed logistics effectively. Nevertheless, displaced communities experienced discomfort due to prolonged emergency conditions and limited fulfillment of basic needs in temporary shelters. In the post-disaster phase, BPBD conducted rehabilitation and reconstruction through transportation recovery, trauma healing programs, and permanent housing development based on the Rehabilitation and Reconstruction Plan (R3P). However, limited funding and delays in reconstruction processes remained major challenges. Therefore, improving coordination, institutional capacity, disaster communication, and community participation is essential for effective disaster management.

This study discusses the design and testing of a growing media moisture and water level monitoring system based on ESP32-MQTT. The system was developed to support real-time monitoring of growing media conditions and water availability through a monitoring dashboard. This research used an experimental method with a design and implementation approach by developing an ESP32 circuit connected to a capacitive soil moisture sensor and a water level sensor, then sending sensor data to the dashboard through the MQTT protocol and Node-RED. Testing was carried out using a plant pot as the moisture testing medium and a water container as the water level testing medium. The results showed that the growing media moisture sensor displayed 0% in dry and very dry soil conditions, 61% in moist soil, and 89% in very moist soil. The water level sensor displayed 0 cm, 2.4 cm, and 4 cm according to the testing conditions. These results indicate that ESP32-MQTT can be used as an initial prototype for monitoring growing media moisture and water level before being applied to a complete hydroponic or aquaponic system.

This study examines eschatology within the framework of Catholic faith as a reflection of faith and hope of salvation, not merely as a depiction of the end times. The background highlights the need to avoid reducing eschatology to a sole event of judgment day, by emphasizing the close relationship between eschatology, Christology, and soteriology, as well as the role of faith in the daily life of Catholic believers. The aim of the study is to articulate eschatology as an integrative framework that connects faith, hope, love, sacraments, liturgy, and inculturation in the Church’s praxis, and to consolidate the active participation of the faithful in the Kingdom of God, which has been initiated but not yet completed. The research method is descriptive-analytical literature review, comparing the views of experts, the Church Magisterium, and contemporary liturgical and theological documents to construct a comprehensive theoretical framework. The main findings indicate that Catholic eschatology functions as a moral and spiritual engine: (1) it integrates the “already and not yet” in the experience of faith; (2) it links eschatological hope with the actions of love, justice, and social liberation; (3) it bridges private faith with sacramental practice and inculturation. Theological and pastoral implications include strengthening faith formation, participation in liturgy, and an imaginative response to present-day social and environmental challenges. This narrative affirms a living, inclusive, and relevant eschatology for the Church’s life of faith in the contemporary era.

Dengue Hemorrhagic Fever (DHF) remains a major public health problem in Indonesia, particularly in densely populated areas. Control efforts require accurate data and spatial analysis to understand disease distribution patterns. Geographic Information System (GIS) is an effective tool for visualizing case distribution and supporting surveillance and planning of control programs at the primary healthcare level. This study aims to describe the spatial distribution of Dengue cases based on medical record data and produce a geographic distribution map to support Dengue control efforts at the Puskesmas level. This study used a quantitative descriptive design with secondary data from medical records at Karangsari Health Center. The sample consisted of 255 DHF patients in 2025, selected using a total sampling technique. Data were processed through editing, geocoding patient addresses, and spatial analysis using QGIS software.The results showed 255 Dengue  cases in 2025 with fluctuating monthly trends, peaking in April and lowest in December. Case distribution was uneven and tended to cluster. High-risk areas accounted for 15.7%–21.2%, moderate-risk areas 9.8%–15.7%, and low-risk areas 7.1%–9.8%. Megu Cilik Village had the highest proportion of cases, while other villages were categorized as moderate and low risk. This pattern indicates that Dengue incidence is influenced by environmental conditions, vector density, host factors, rainfall, and Aedes aegypti presence. GIS provides clearer spatial visualization, helping identify high-risk areas and supporting targeted public health interventions.

Intellectual property rights (IPR) are an important legal tool for trademark ownership, protecting business quality, and protecting a company's economic interests. Consumers build trust in trademarks because they signal distinct product quality and reflect a positive and consistent corporate image. Trademark protection is regulated by national law under Trademark Law No. 20 of 2016, which provides legal certainty for trademark owners. This law stipulates that a trademark is only valid if it has distinctive elements, is not imitative, and has been officially registered with an authorized institution. The "first come, first served" principle in Indonesian trademark law can be interpreted as a mechanism that grants rights to the first party to file a valid application. However, the application of this principle in practice often raises complex legal issues, particularly when a trademark has already gained widespread public recognition prior to its formal registration. This study focuses on evaluating this legal protection through a normative legal research method by examining applicable laws, regulations, and court decisions related to trademark disputes in Indonesia. The Geprek Bensu dispute has attracted public attention because it highlights the conflict between legal provisions regarding trademark ownership and public perception. This case demonstrates that the existing legal framework still requires further refinement to balance the interests of trademark registrants with those of parties who have built public reputation through prior commercial use. Therefore, legal reform and consistent law enforcement are essential to ensure fair and comprehensive trademark protection in Indonesia.

This study aims to analyze the influence of workforce agility, job satisfaction, and job engagement on employee adaptive performance at PT. MMT Buana Logistik. The dynamic logistics industry requires employees who have high adaptability to technological changes and operational demands. This type of research is quantitative causality with an explanatory approach. The population in this study were all employees of PT. MMT Buana Logistik, totaling 49 people, with the sampling technique used saturated sampling (census). Data were collected through questionnaires with a 5-point Likert scale. Data analysis techniques used included instrument testing (validity and reliability), testing of classical assumptions (normality, multicollinearity, and heteroscedasticity), and multiple linear regression analysis. Hypothesis testing was carried out through t-tests (partial), F-tests (simultaneous) and coefficient of determination (R2). The results showed that workforce agility, job satisfaction, and job engagement partially and simultaneously have a positive and significant influence on employee adaptive performance. These findings imply the importance of managing work flexibility, fulfilling employee satisfaction, and increasing work engagement to build adaptive human resources to support company competitiveness in the logistics industry.  

Indonesia, as a tropical country, is exposed to high levels of ultraviolet (UV) radiation, increasing the risk of skin damage. Sunscreen is widely used as a protective measure indicated by the Sun Protection Factor (SPF) value. This study aimed to evaluate the effect of active ingredient variations on SPF values and other influencing factors. A literature review with a descriptive-comparative approach was conducted using research articles published between 2021 and 2026 from Google Scholar, PubMed, ScienceDirect, and Elsevier. A total of seven eligible articles were analyzed. The results showed that the type of active ingredients, concentration, combination of ingredients, and dosage form significantly influence SPF values. Natural ingredients generally produce low to moderate SPF values, while combinations of active ingredients result in significantly higher SPF due to synergistic effects. Increasing the concentration of active ingredients also leads to higher SPF values. Additionally, dosage forms such as creams, serums, sunscreen powder and foundations affect sunscreen effectiveness through their film-forming ability on the skin. In conclusion, the combination of active ingredients and higher concentrations provides more optimal protection against UV radiation.

This study examines customer churn prediction in subscription-based telecommunications from a digital marketing perspective using machine learning. The analysis utilizes a secondary dataset of 7,043 customer records that simulate behavioral, contractual, and financial attributes commonly found in telecom services. Three classification algorithms Logistic Regression, Random Forest, and Gradient Boosting are applied to model churn behavior. Data preprocessing includes handling missing values, encoding categorical variables, and splitting data into training and testing sets. Model performance is evaluated using accuracy, recall, and ROC-AUC, with emphasis on recall due to its importance in identifying at-risk customers. The results show that Gradient Boosting achieves the highest overall performance with an ROC-AUC of 0.84, while Logistic Regression provides relatively higher recall. Key drivers of churn include short-term contracts, higher monthly charges, and lower service engagement. However, recall remains moderate, indicating limitations in capturing complex behavioral factors. These findings suggest the need to combine predictive models with behavioral insights and highlight the importance of early customer engagement and long-term retention strategies.

Individual behavioral factors are critical determinants of organizational effectiveness and a vital component of modern organizational diagnosis. This study aims to identify and map individual behavioral factors as strategic indicators in organizational diagnosis using a Systematic Literature Review (SLR) approach guided by PRISMA 2020. Analysis of ten selected articles reveals that organizational effectiveness in the digital transformation era is driven by a reciprocal equilibrium between an individual's cognitive infrastructure and volatile work environment demands. The findings synthesize these behaviors into four strategic clusters: psychological well-being as primary infrastructure, digital structural support audits, justice and trust equilibrium, and psychological contract synchronization. This research provides tactical implications for Human Capital practitioners to transform annual diagnostic methodologies toward the implementation of monthly pulse surveys to detect fluctuations in well-being and disengagement intentions in real-time. This predictive diagnostic step is essential to mitigate turnover risks and design precise institutional interventions in hybrid work ecosystems.

The dimensions of healthcare service quality are a concept for measuring service quality. This study aims to determine the effect of the dimensions of healthcare service quality on the satisfaction of inpatients at Cut Nyak Dhien General Hospital in Langsa City. This study uses a quantitative design of the Survey Analytic type with a cross-sectional approach. The population consisted of 121 inpatients with a sample size of 55 respondents using purposive sampling technique. Analysis used multiple logistic regression test (α=0.05). The research results show that there is an influence between Responsiveness p<0.042 with an EXP (B) value of 11.361, Assurance p<0.008 with an EXP (B) value of 20.163, Empathy p<0.018 with an EXP (B) value of 13.547, Reliability p<0.033 with an EXP (B) value of 6.896 on inpatient patient satisfaction (p<0.05), while the Tangible variable shows no influence with p<0.088 and an EXP (B) value of 4.967. Among these variables, the one that significantly affects inpatient patient satisfaction is the Assurance variable with p<0.008 and an EXP (B) value of 20.163. It is recommended to continuously improve the quality of service comprehensively in every dimension of service quality, strengthen the competence and professionalism of healthcare personnel, enhance the speed and accuracy of service, and build good communication to improve the quality of inpatient services and maintain patient trust in the hospital.  

The agricultural sector plays a strategic role in meeting food needs while maintaining environmental sustainability and community welfare. However, conventional farming practices that rely on chemical inputs have caused various problems, such as soil degradation, loss of biodiversity, and environmental pollution. This condition has encouraged the adoption of the Sustainable Agriculture concept, which emphasizes a balance between ecological, economic, and social aspects. Its successful implementation is strongly influenced by farmers’ perceptions as the main actors. This study aims to analyze rice farmers’ perceptions of the implementation of Sustainable Agriculture in swampy areas of Tebas District, Sambas Regency. The research was conducted from October to November 2025 using a survey method involving 95 farmers selected through the Slovin formula and proportional random sampling technique. Data were collected through observation, interviews, and Likert-scale questionnaires, and analyzed using descriptive analysis and binary logistic regression. The results show that farmers’ perceptions are generally positive, particularly regarding water management, variety selection, and cropping patterns. However, the use of organic fertilizers, environmentally friendly pest control, and post-harvest management are still considered difficult. Education level and non-farming occupations significantly influence farmers’ perceptions. Therefore, enhancing extension services, training, and support for business diversification is necessary to promote the adoption of Sustainable Agriculture.

This research investigates transparency and accountability in the management of state-owned assets (BMN) at the East Java Regional Police's Logistics Bureau as a step toward enhancing effective, adaptive, and integrity-focused governance in police logistics. The research context arises from the growing public call for transparency and accountability in managing state assets, in line with policies for bureaucratic reform and digitalization in the police logistics framework. This study utilized a qualitative descriptive approach involving in-depth interviews, observations in the field, and analysis of documents. The results show that adopting a unified digital system has enhanced the efficiency of asset management, sped up inventory operations, and reduced the risks of asset misuse. Nonetheless, obstacles persist, such as restricted human resource capacity, data alignment problems, and inadequate performance-based assessments. The conversation emphasizes that effective asset management relies on the implementation of adaptive governance, motivation for public service, and precise performance assessment systems. The research indicates that the integration of digital innovation, professional skills, and a robust commitment to public accountability is crucial for creating transparent and sustainable governance in police logistics

This research benchmarks multiple machine learning (ML) algorithms for large-scale loan default prediction using a real-world dataset of 255,000 borrower records, where default cases represent only ~9–12% of total observations. The study addresses the persistent gap in comparative analyses of ML models that balance predictive accuracy, interpretability, and computational efficiency for credit risk assessment. Six algorithmic families were evaluated Logistic Regression, Random Forest, XGBoost, LightGBM, CatBoost, Artificial Neural Networks (ANN), and Stacked Ensemble—using standardized preprocessing, hybrid imbalance handling (SMOTE, class weighting, under-sampling), and comprehensive evaluation metrics (AUC, F1, Recall, Precision, PR-AUC, and Brier Score). Empirical results show Logistic Regression achieved the highest AUC of 0.732, outperforming nonlinear models under the baseline configuration, while LightGBM attained perfect recall (1.0) but low precision (0.116), indicating over-prediction of defaults. Gradient boosting models demonstrated robust calibration (Brier ≈ 0.114–0.116) and the best computational efficiency, with LightGBM showing the fastest training and lowest memory use. CatBoost exhibited strong recall but the slowest computation, and ANN underperformed on tabular data (AUC ≈ 0.56). The Stacked Ensemble delivered balanced results with AUC = 0.664 and improved overall stability. These findings confirm that boosting-based models, particularly LightGBM and CatBoost, offer superior scalability and calibration, whereas Logistic Regression remains a valuable interpretable baseline. The study concludes that effective default prediction requires integrating rebalancing, calibration, and threshold optimization to enhance recall and operational deployment reliability in large-scale credit ecosystems.

The PESIAR Program (Petakan, Sisir, Advokasi, dan Registrasi Map, Screen, Advocate, and Register) is an operational instrument of BPJS Kesehatan designed to accelerate the achievement of Universal Health Coverage (UHC) by increasing National Health Insurance (JKN) membership at the local level. However, the effectiveness of this program’s implementation is strongly determined by the institutional capacity and configuration that support it. This article aims to reposition institutional determination not only as a factor influencing program effectiveness, but as a model of administrative governance in achieving UHC. The study uses a mixed methods approach with a sequential explanatory design. Quantitative data were obtained through a survey of PESIAR Agents in Semarang City, while qualitative data were collected through open-ended questionnaires and interviews. The results show a strong, positive relationship between institutional determination and the effectiveness of the PESIAR Program. Qualitative findings further clarify that issues of program effectiveness largely originate from institutional capacity, the quality of cross-sector coordination, and the role of PESIAR Agents as field implementers. This study concludes that institutional determination deserves to be positioned as an administrative governance model for the PESIAR Program in promoting the achievement of UHC at the local level.

This study aims to analyze the effectiveness of Rengginang MSME registration on Google Maps as a strategy to strengthen the economy in Pahang Village, Babata Village. The background of the research shows that most MSMEs still rely on conventional marketing so that business visibility is relatively low. With a qualitative case study approach, this study explores the experience of the owner of Rengginang Azam MSMEs, Mrs. Siti, who registered her business location on Google Maps. The results of the study show that digitalization through Google Maps has a positive impact in the form of increasing accessibility and reach for customers, especially from outside the village. Location registration allows customers to find more complete information about products and locations, increasing the number of visits to the store. The real impact felt is an increase in sales and profits without additional promotional costs. This study concludes that the use of Google Maps as a digital promotional medium is an effective strategy in strengthening the competitiveness of MSMEs in the digital era. In addition, this finding confirms the importance of digital literacy for MSME actors to utilize technology as a means of business development and strengthening the local economy.

The rapid development of digital technology requires greater adaptive capacity in both the economic and educational sectors, including in rural areas. However, limited digital literacy and the continued use of conventional learning methods remain common challenges. This activity aims to enhance the competitiveness of micro, small, and medium enterprises (MSMEs) as well as the quality of primary education in Baharen Village, Sidamanik District, through the implementation of a Community Service Program (Kuliah Kerja Nyata/KKN). A descriptive qualitative approach with a participatory model was employed, actively involving MSME actors, teachers, and students throughout all stages of the program. The activities included assistance in the digitalization of the MSME Gerai Mumtazah through Google Maps registration and the implementation of the QRIS cashless payment system, as well as the application of interactive learning methods based on joyful learning at the Baharen Village State Elementary School. The results indicate an increase in students’ learning motivation and classroom participation, along with improved accessibility and transaction efficiency for the MSME partner. These findings suggest that community-based participatory service activities can make a tangible contribution to strengthening the local economy and improving the quality of education in rural areas.

This community service activity aims to design a prototype of a web-based Intellectual Property Rights (IPR) registration information system at the South Sumatra Provincial Industry Office as an effort to support the improvement of public service quality. The main problem faced by partners is the manual registration and management process for IPR data, which has the potential to cause service delays, data recording errors, and difficulties in monitoring the status of IPR applications. This condition requires an information technology-based solution that can improve the efficiency, effectiveness, and transparency of services. The method used in this community service activity is the prototype method, which includes the stages of problem identification, user needs analysis, system design, and initial evaluation of the resulting prototype. The designed information system prototype includes features for online IPR registration, applicant and document data management, and application status monitoring. The results of the activity indicate that the IPR registration information system prototype is able to provide an overview of digital solutions that are in accordance with partner needs and have the potential to improve service efficiency and ease of data management. This activity is expected to become the basis for the development of a more comprehensive and sustainable IPR information system within the South Sumatra Provincial Industry Office.

The phenomenon of megachurches represents one of the most significant developments in contemporary Christianity, reflecting shifts in church organizational structures, leadership patterns, and engagement with modern culture. Despite their rapid growth, megachurches have drawn criticism, particularly regarding reliance on charismatic leadership, the prominence of prosperity theology narratives, and the potential weakening of communal dimensions in church life. This study aims to analyze the megachurch phenomenon through an interdisciplinary approach that integrates the sociology of religion and ecclesiological reflection. Employing a qualitative method, this research utilizes literature analysis and a phenomenological approach to understand leadership dynamics and religious practices within large church contexts. The findings indicate that megachurch growth is driven by a combination of charismatic leadership, complex organizational systems, and adaptation to contemporary culture, including digitalization and religious consumerism. However, this model also generates tension with New Testament ecclesiological principles that emphasize participatory community and servant leadership. This study contributes to practical theology by offering an integrative analysis and provides a reflective basis for churches to evaluate their organizational forms and leadership practices in light of foundational theological principles.  

The advancement of information technology has rapidly transformed trading patterns in Indonesia, shifting from conventional transactions to online transactions through marketplace platforms. On one hand, this transformation provides convenience and efficiency for both businesses and consumers. On the other hand, it has also given rise to various legal issues, particularly regarding consumer protection. This article aims to examine how legal protection for consumers is implemented in electronic sales agreements on marketplaces, while also identifying the obstacles encountered during its implementation. The study employs a normative juridical approach, using conceptual analysis and legislative review, supplemented by empirical data obtained from interviews. As described, legal protection for consumers in electronic transactions in Indonesia remains suboptimal. Specifically, these challenges include biased law enforcement, low levels of consumer literacy, and ineffective dispute resolution mechanisms. In practice, marketplaces have incorporated consumer protection features such as escrow systems, refund mechanisms, and complaint centers; however, their implementation still suffers from limited transparency and effectiveness. Furthermore, existing regulations are slow to respond to the dynamics of cross-border transactions and ongoing digital innovations. Therefore, comprehensive regulatory reform, stronger enforcement, and enhanced legal and digital literacy among the public are necessary to ensure effective consumer protection.

Malaria remains a major public health challenge in eastern Indonesia, particularly in the remote highland areas Papua, where access to health services is very limited. In early 2008, a suspected malaria outbreak with several deaths was reported in Agisiga District, a remote highland area in Papua. This study aimed to investigate the epidemiological characteristics, diagnostic results, and mortality patterns of the malaria outbreak as a basis for formulating future control strategies. The outbreak investigation was conducted using a cross-sectional design in Agisiga District from January to March 2008. Capillary blood samples were examined using Rapid Diagnostic Tests (RDTs) and thin blood smear microscopy. Malaria-related deaths were traced through verbal autopsy methods and interviews with families and community leaders. Descriptive analysis was performed to describe the demographic, clinical, and parasitological characteristics the cases. A total of 92 suspected malaria cases were identified, with the highest proportion coming from Tomosiga Village (52.2%), followed by Bigasiga Village (40.2%) and Agisiga Village (7.6%). Women accounted for 58.7% of all cases, and the most affected age group was 15–35 years (34.8%). Microscopic examination confirmed malaria infection in 55.0% of samples examined, with Plasmodium vivax predominating (45.0%), while the RDT positivity rate was much lower. The malaria outbreak in Agisiga District was characterized by high mortality, delayed diagnosis, and significant gaps in diagnostic capacity, particularly in remote villages. Strengthening the surveillance system, increasing diagnostic capacity, and improving access to timely treatment are crucial steps prevent similar outbreaks and reduce malaria mortality in the Papuan highlands.