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This study aims to analyze the comparison of financial distress levels measured using the Current Ratio (CR) and the Altman Z-Score model and their relationship with stock returns in PT Charoen Pokphand Indonesia Tbk and PT Japfa Comfeed Indonesia Tbk during the period 2020–2025. The research method used is a quantitative approach with a comparative design, and the sampling technique applied is purposive sampling. Data analysis was conducted using descriptive statistics and multiple linear regression.The results indicate that there is no statistically significant difference between the two companies in terms of hal Likuidity (Current Ratio) dan Financial Distress (Altman Z-Score). Descriptively, CPIN has an average Current Ratio of 1.959 and a Z-Score of 3.700, while JPFA shows slightly lower values but remains within the safe zone. Furthermore, regression results reveal that liquidity and financial distress do not have a significant effect on stock returns. Both companies are classified in the safe zone, indicating a healthy financial condition and low risk of financial distress, while stock returns tend to be volatile and influenced by external factors.The study recommends that companies maintain a balance between liquidity, profitability, and capital structure to sustain financial stability. Investors are advised to consider not only financial ratios but also external factors in decision-making. Future researchers are encouraged to expand the sample size and include additional variables to obtain more comprehensive results.

Megathrust earthquakes occurring along subduction zones pose significant natural hazards, particularly in tectonically active regions such as Indonesia. The southern coast of Java is highly vulnerable due to its proximity to the Sunda megathrust, which has the potential to generate large-magnitude earthquakes and associated risks. This study aims to develop a GIS-based model to assess megathrust earthquake hazards in Southern Java, Indonesia. A quantitative geospatial approach was employed by integrating Geographic Information Systems (GIS) with a Multi-Criteria Decision Analysis framework using weighted overlay analysis. Several spatial parameters, including seismic activity, distance to the subduction zone, geological structure, and elevation, were processed and standardized before being combined into a composite hazard index. The results indicate a clear spatial pattern, where high hazard zones are concentrated in coastal and offshore areas near the subduction interface, while inland regions exhibit lower hazard levels. This spatial distribution reflects the influence of tectonic proximity on hazard intensity. The study demonstrates that GIS-based weighted overlay analysis is effective in integrating multiple hazard indicators into a unified spatial model. The resulting hazard map provides valuable insights for disaster risk reduction, spatial planning, and preparedness strategies in megathrust-prone areas. This research also contributes to the advancement of geospatial modeling frameworks for earthquake hazard assessment, particularly in regions with similar tectonic characteristics.

Coastal areas are highly dynamic and increasingly exposed to physical pressures such as coastal erosion, shoreline change, inundation, and sea-level rise. In Indonesia, most coastal vulnerability studies remain focused on physical mapping and have not been systematically integrated with spatial planning evaluation. This study aims to analyze physical coastal vulnerability using the Coastal Vulnerability Index (CVI) and integrate the results with the Regional Spatial Plan (RTRW) in the coastal areas of Mangarabombang and Laikang Sub-districts, Takalar Regency. A quantitative spatial approach was applied using eight parameters, which were reclassified into vulnerability scores, transformed into CVI values, and classified using quartile methods. The results show that high and very high vulnerability classes dominate the coastal area. Spatial integration reveals that several development zones intersect with high vulnerability levels, indicating potential spatial mismatch. This study confirms that CVI can be operationalized as a spatial evaluation tool to support adaptive and risk-based coastal planning.

The integration of Artificial Intelligence (AI) in 2025 has become one of the main pillars in improving operational efficiency in transportation service companies. This study aims to comparatively analyze the potential financial distress of PT GoTo Gojek Tokopedia Tbk as a digital company and PT Blue Bird Tbk as a conventional transportation company. The research employed a quantitative descriptive method using the Operating Cash Flow Ratio (AKO) analysis approach. The data were obtained from consolidated financial statements for the third quarter period from 2023 to 2025. The results indicate that GOTO consistently remained in the financial distress zone with negative ratio values of -0.34, -0.11, and -0.01. However, the implementation of AI technology helped improve operational efficiency, resulting in significant annual ratio improvements. On the other hand, BIRD demonstrated relatively stable and positive cash flow conditions, although in 2025 the company experienced a decline in liquidity with a ratio value of 0.69, which was below the ideal standard of 1.0. This study concludes that the AI trend in 2025 contributed to reducing operational inefficiencies in transportation companies, but it has not fundamentally eliminated the risk of financial distress in digital companies.

Sutera Subdistrict is an area affected by floods and landslides, causing significant damage to residential areas. Most houses suffered severe damage and are no longer habitable, making housing relocation a crucial post-disaster response. This study aims to identify settlements located in disaster-prone zones and determine potential land areas for housing relocation in Sutera. The method applied involves scoring and weighting combined with spatial analysis of various physical parameters and disaster vulnerability levels.The results indicate that Sutera Subdistrict has considerable potential land for housing relocation, with the highest potential found in Nagari Amping Parak Timur. However, the physical characteristics of the area and variations in disaster vulnerability require selective and planned land utilization. Disaster vulnerability maps serve as an essential basis for spatial planning and development control, particularly in determining relocation sites. In addition, strengthening mitigation efforts and enhancing community preparedness are necessary to minimize disaster risks and support the development of a safer and more sustainable area.

Landslides in the Giritengah Catchment Area are influenced by several factors, including geological conditions, rainfall intensity, geomorphology, soil characteristics, and inappropriate land use practices, all of which affect regional spatial planning and environmental stability. This study presents a literature review that analyzes landslide vulnerability, evaluates the impact of land use changes, and proposes integrated Soil and Water Conservation Techniques (SWCT) to support sustainable land management. The analysis applies Geographic Information System methods using thematic map overlays such as rainfall distribution, slope gradient, geological structure, and land use patterns. The results show that areas categorized as having high landslide vulnerability cover 44.02% or approximately 158.69 hectares of the catchment area, while areas with very low vulnerability account for only 0.12% or about 0.79 hectares. Land use conversion, particularly mixed dryland agriculture, has increased landslide risk by reducing slope stability and increasing surface runoff. To address this issue, conservation strategies are recommended, including vegetative measures such as greening 38.51 hectares in settlement areas and implementing agroforestry systems across 218.48 hectares. In addition, structural measures such as three dam retainers and twenty gully plugs are proposed in both protected and cultivation zones to support disaster mitigation and align with regional spatial planning policies.

This study examines the seismic performance of slender Air Traffic Control (ATC) towers in high‑hazard regions (PGA > 0.4g), where vertical taper, torsional eccentricity, and top‑heavy cab mass can significantly increase drift, base shear, and collapse risk relative to conventional buildings. Existing studies often rely on linear procedures and outdated provisions, leading to underestimation of nonlinear behaviour and limited guidance for ATC towers designed to SNI 1726:2019. The research aims to quantify these irregularity effects and formulate design recommendations that satisfy Immediate Occupancy, Life Safety, and Collapse Prevention performance targets. The methodology couples response spectrum analysis, using a site‑specific Padang spectrum consistent with SNI 1726:2019 and ASCE 7‑16, with nonlinear pushover analysis interpreted through FEMA/ATC performance‑based criteria. A parametric study is performed on three cab configurations small, medium, and large modelled as 5%, 15%, and 25% mass ratios at the tower head, while keeping a 10 m × 10 m hybrid core–frame shaft constant. Results indicate that larger cab mass produces systematic but moderate increases in global displacement, story drift, and base shear, while plastic hinges localize primarily in the upper stories and cab‑support region, yielding performance levels from Immediate Occupancy to Collapse Prevention. Overall, the tower meets code drift limits and acceptable performance if local strengthening is provided around the shaft–cab interface, offering a calibrated reference for top‑heavy ATC tower design in Indonesian high‑seismic settings and identifying priorities for future time‑history and soil–structure interaction studies.

Aortic dissection is a cardiovascular emergency characterized by a tear in the aortic intima layer and the formation of a false lumen, posing risks of fatal complications such as rupture and organ malperfusion. Stanford type B dissections may be managed conservatively; however, complicated cases require intervention. Thoracic Endovascular Aortic Repair (TEVAR) has emerged as the preferred modality, offering lower perioperative morbidity and mortality compared to open surgery. To report the first TEVAR procedure performed in Manado on a patient with Stanford type B aortic dissection, highlighting the technical approach, operative challenges, and clinical outcomes. A 62-year-old male with a history of hypertension and chronic chest pain was referred following a CT angiography that revealed a Stanford type B aortic dissection with an entry site in the proximal descending aorta. TEVAR was performed with stent-graft placement in zone 2 and a chimney graft to preserve perfusion of the left subclavian artery (LSA). Intraoperative aortography confirmed false lumen exclusion without endoleak. The patient showed significant clinical improvement and recovered without postoperative complications. The procedure was technically and clinically successful, with no major complications. Postoperative evaluation confirmed stable stent position and maintained LSA perfusion. This case demonstrates that TEVAR can be safely implemented in non-tertiary regional hospitals with thorough preparation. The first TEVAR procedure in Manado illustrates that this technique can be an effective solution for complicated type B aortic dissections. This experience marks a milestone in the development of endovascular services in resource-limited settings and may serve as a reference for similar institutions in Indonesia.

Banda Aceh City has high vulnerability to tsunamis due to its coastal location directly facing the sea and being situated in an active tectonic zone. This study evaluates the spatial distribution of tsunami risk and assesses coastal conditions as disaster mitigation efforts using a mixed-method approach that combines quantitative analysis based on Geographic Information Systems (GIS) and qualitative analysis through field surveys and expert assessments. Three beaches were selected as study locations: Ulee Lheue Beach, Syiah Kuala Beach, and Alue Naga Beach, with risk assessment calculated using the formula Risk = (H × V) / C according to the BNPB framework and overlay techniques in GIS to create risk distribution maps. Coastal condition evaluation focused on coastal vegetation and protective coastal structures assessed using an ordinal scale of 1–5. Results show that Ulee Lheue Beach has the highest mitigation capacity with a score of 64.5% (good category), Syiah Kuala Beach reaches 57.5% (fairly good), while Alue Naga Beach has the lowest score of 28.3% (poor). Correlation analysis yielded a coefficient of r = 0.97, indicating a very strong positive relationship between coastal vegetation and protective coastal structures. Therefore, the study recommends strengthening mitigation strategies through improved protective infrastructure and optimization of coastal vegetation functions, particularly in high-risk areas, to reduce tsunami impacts in the future.

Rainfall plays a crucial role in determining flood risk, particularly in regions with high precipitation intensity and limited drainage capacity. Langkat Regency in North Sumatra is one of the areas frequently affected by seasonal flooding. This study aims to model the spatial distribution of rainfall and estimate the rainwater volume using the double integral approach as a basis for flood mitigation planning. Monthly rainfall data from various observation stations in 2024 were processed to obtain the average rainfall intensity, which was then converted into meters and multiplied by the total area of Langkat Regency to compute the rainwater volume. The results indicate that the total estimated rainwater volume throughout 2024 reached 16,409,819,800 m³, with peak precipitation occurring from September to November, contributing significantly to the increasing flood risk in low‐lying zones and riverine areas. These findings demonstrate that the use of double integrals is an effective quantitative method for predicting potential flood volume based on rainfall distribution. The outcomes of this study are expected to serve as a scientific reference for local governments in developing data-driven flood mitigation strategies, such as improving drainage capacity, constructing retention basins, and strengthening watershed management.

Acute Respiratory Infections (ARI) in the working area of Mulyorejo Public Health Center, where an aluminum factory is located, rank first among the ten most common diseases. This study aims to analyze the influence of sociodemographic characteristics and PM2.5 exposure on ARI complaints in the aluminum factory area of Payageli Village, Deli Serdang Regency. The cross-sectional observational study involved 160 housewives living within a radius of 10–1500 meters from the factory’s chimney. The analysis included univariate, bivariate, and multivariate methods. Results showed that 58.1% of respondents experienced ARI symptoms in the past month. The average ambient (outdoor) PM2.5 concentration measured from three sampling points was 12.3 µg/m³, which did not exceed the WHO standard (<15 µg/m³). The highest concentration was recorded in the southern direction (15.5 µg/m³). Bivariate analysis indicated that education (p = 0.010), direction of house location (p = 0.001), and indoor PM2.5 concentration (p = 0.006) were significantly associated with ARI. Multivariate logistic regression analysis showed that the most dominant factor influencing ARI was indoor PM2.5 concentration (p = 0.039), followed by education (p = 0.013) and direction of house location (p = 0.001). This study provides a scientific basis for air quality control and housing environment improvement to reduce the risk of environmentally related diseases in industrial zones.

Film is one of the most effective forms of mass communication for conveying messages to the public. Home Sweet Loan is a film that presents elements of representation reflecting the spirit of a generation in pursuing their dreams. This research aims to identify and understand the various representations of the spirit of pursuing dreams as depicted in the film Home Sweet Loan. Using Roland Barthes semiotic analysis, this study explores the representations by breaking down the denotative, connotative, and mythical meanings embedded in the film’s scenes and dialogues as research data. The research employs a descriptive qualitative method, with data collected through observation, documentation, interviews, and literature review. The findings reveal several representations of the spirit of pursuing dreams, which include: (1) a strong desire to own a home despite limitations, (2) financial discipline in managing income and expenses, (3) independence from social standards and expectations, (4) persistence in facing harsh realities of economic and social pressure, and (5) courage to step out from one’s comfort zone and take risks. These elements collectively reflect the struggles of the younger generation, especially urban communities, in achieving personal independence and long-term aspirations. Overall, the study highlights how Home Sweet Loan functions not only as a medium of entertainment but also as a cultural text that conveys values of resilience, financial awareness, and self-determination. The film illustrates that pursuing dreams requires both perseverance and the ability to resist limiting stereotypes, making it relevant to broader discussions on representation in contemporary Indonesian cinema.

Floods are one of the most common natural disasters and have a significant impact on the social, economic, and environmental aspects of society. This is particularly evident in the community of East Sorong District. East Sorong District is one of the areas frequently affected by floods, and this inevitably leads to numerous risks and consequences. There are several causes of flooding in the Sorong Timur District, including extreme rainfall, inadequate drainage systems due to trash blockages, uncontrolled land use changes resulting in overpopulation, and the loss of forest areas or green spaces that could function as water absorption zones. Additionally, the lack of flood control systems and weak oversight of development in flood-prone areas can exacerbate flood disaster risks. This study aims to analyze and measure the resilience of the Sorong Timur District in facing flood disasters through an evaluation approach focusing on infrastructure, service facilities, socio-economic factors, community capacity and preparedness, and institutional aspects. It was concluded that the infrastructure variable is still moderate, while the socio-economic variable, basic capacity, and community preparedness, as well as institutional capacity, are still low. Meanwhile, service facilities are also low. Overall, it can be concluded that the resilience of the Sorong Timur district in facing hydrometeorological disasters is weak.

Burns can cause infection, hinder healing, and increase the risk of long-term complications. Staphylococcus aureus and Pseudomonas aeruginosa often infect burn wounds in general, infections are treated with antibiotics, but continued use of antibiotics can cause bacterial resistance. Binahong leaves (Anredera cordifolia) have potential as a substitute for antibiotics because of their antibacterial properties from active compounds such as alkaloids, polyphenols, tannins, saponins and ascorbic acid. This research aims to activate the antibacterial ability of binahong leaf ethanol extract against S. aureus and P. aeruginosa. This research uses an experimental method with a control group design using diffusion and dilution methods at varying concentrations. Statistical analysis of the inhibition zone showed that there was a significance difference of <0.05 between treatment groups. In the solid diluted method, S. aureus obtained an MIC value of 10.5% and a MBC of 11.5%, whereas P. aeruginosa had an MIC of 14.5% and a MBC of 15%. The results showed that the ethanol extract of binahong leaves was more sensitive to S. aureus than P. aeruginosa.  

The loading in and loading out processes are crucial stages in event production. Although often invisible to the audience, they have a direct impact on the smooth running and quality of the event. This study aims to examine the implementation of the loading process at the Pancaverse event held at Depok City Square, focusing on technical dynamics, field challenges, and the implemented solution strategies. This study uses a descriptive qualitative approach through a case study, where data was obtained through field observations, in-depth interviews with five key informants, and technical documentation of the event. The results show that the success of the loading process is highly dependent on several key factors, including detailed planning, clear work zone division, and responsive inter-team communication. Thorough planning before the event begins is crucial to minimize technical errors during the loading process. Furthermore, a structured work zone division facilitates coordination between teams and accelerates workflow. Effective communication between teams, both internally and with external parties, also significantly influences the smooth running of the loading process. However, external factors such as bad weather and miscommunication between vendors are major challenges faced. These challenges can impact the smooth logistics and the overall loading process. Therefore, risk mitigation is carried out through cross-checking logistics, intensive coordination with external parties, and providing backup plans in case of obstacles. The use of a logistics checklist and tagging system has also proven effective in accelerating the identification of goods during unloading, thereby streamlining the loading and unloading process. Overall, this study emphasizes the importance of technical and managerial readiness in handling the loading process as an integral part of event production. These findings are expected to provide practical insights for event industry players in designing and implementing more adaptive and efficient logistics strategies in the field.

Slum settlements developing around Final Disposal Sites (TPA) represent a complex phenomenon that affects the quality of the urban living environment. In Karo Regency, the proximity of the TPA to residential areas has raised various issues such as air pollution, declining sanitation quality, and limited community participation in spatial planning processes. This study aims to analyze the influence of Distance to the TPA (X1), Length of Residence (X2), Community Participation (X3), Perception of TPA Impact (X4), and Household Income (X5) on the Quality of Slum Settlements (Y). A quantitative approach was applied using a multiple linear regression model, based on primary data from 200 respondents residing in areas affected by the TPA. The analysis revealed that, simultaneously, the four independent variables (X1–X4) significantly influence settlement quality, whereas household income does not show a significant effect. Partially, Distance to the TPA and Length of Residence have negative effects, while Perception of TPA Impact has a positive effect. Interestingly, Community Participation shows a negative influence, indicating ineffective engagement in environmental management. The R² value of 0.016 suggests that the model explains only a small portion of the variation, yet the F-test significance supports the overall model's relevance. Recommendations from this study include the importance of establishing a minimum 300-meter buffer zone between the TPA and residential areas, implementing sanitary landfill methods to replace open dumping systems, forming environmentally-based community forums with advocacy strength, and conducting community-based waste management training focusing on high-risk households. Strengthening participatory approaches through integration into village and sub-district spatial planning is essential for managing environmental impacts collaboratively and sustainably.

Land use changes in the watershed (DAS) area of Tebing Tinggi City have increased the risk of flooding and contributed to the development of slum settlements in vulnerable zones. Uncontrolled urbanization and economic pressures have driven residential expansion along riverbanks, forcing communities to live in substandard environmental conditions. This study aims to analyze the integration of watershed land use change management with slum rehabilitation strategies to enhance regional resilience against flood disasters. The research employed a mixed methods approach, combining qualitative phenomenological studies with quantitative descriptive statistical analysis. The findings indicate that collaboration among spatial planning, environmental policy, and community participation is crucial in creating a sustainable and disaster-responsive watershed management model. Strategic recommendations are centered on strengthening cross-sector coordination and implementing policies based on spatial and social data.

Research on national banking using the Altman’s Z-Score analysis technique has been relatively extensive, but studies focusing specifically on banks indexed to SRI-KEHATI remain limited. The SRI-KEHATI Index is known as a benchmark for companies with strong sustainability, social responsibility, and good governance practices. This study aims to analyze the health trends of banks listed in the SRI-KEHATI Index during the 2015–2024 period by applying the second modified Altman’s Z-Score model (1993), which is widely recognized as a reliable indicator for assessing a company’s financial stability and risk of bankruptcy. The findings indicate that the overall Altman’s Z-Score trend of major banks within the SRI-KEHATI Index shows stability and a consistently healthy financial condition throughout 2015–2023. However, in 2024 there is a notable decline that requires further examination to determine whether it is caused by market fluctuations, structural challenges, or accounting adjustments. Despite this decrease, the overall financial health of the banks remains categorized as very good according to Altman’s model. The average Z-Score for all four banks analyzed is 6.457, which is well above the threshold of 2.6, indicating no significant bankruptcy risk. When evaluated individually, BMRI stands out as the healthiest with a Z-Score of 13.879, followed by BBNI with 5.971, BBRI with 3.175, and BBCA with 2.801. These results confirm that all four banks remain in a safe financial zone during the 2015–2024 period. Furthermore, the study’s four hypotheses are proven, reinforcing the argument that SRI-KEHATI indexed banks maintain strong financial resilience even amid post-Covid-19 challenges.

Dengue Fever (DF) continues to be a major public health threat in Indonesia, especially in urban areas with high population density, such as Purwokerto City. This study aims to develop a predictive model to identify high-risk areas for DF outbreaks by integrating Machine Learning (ML) algorithms and Geographic Information Systems (GIS). The research utilizes historical dengue case data, meteorological parameters (rainfall, temperature, humidity), and population density as predictive variables. Three ML classification algorithms—Naïve Bayes, Logistic Regression, and Support Vector Machine (SVM)—were implemented to develop risk prediction models. Extensive data preprocessing, feature selection, and spatial integration were applied to ensure model robustness. The results show that the SVM model outperformed other methods, achieving the highest accuracy, precision, recall, and F1-score in classifying dengue risk zones. Risk maps generated through GIS visualization successfully identify priority areas for targeted interventions. The novelty of this research lies in the combination of local epidemiological data, multi-algorithm comparison, and geospatial mapping to improve early warning systems for DF in Purwokerto. This integrated approach is expected to support more effective prevention strategies and enhance public health preparedness.

The policy of mandatory relocation in post-disaster areas, particularly in Cianjur's red zones, plays a crucial role in mitigating risks associated with earthquakes and other natural disasters. This study analyzes the implementation of this policy from the perspective of local government tasks and functions, focusing on the coordination of various stakeholders, legal frameworks, and community involvement. The research uses a qualitative approach, combining legal-normative and sociological perspectives to explore the challenges and conflicts faced during the relocation process. Findings indicate that while the policy has been crucial in safeguarding public safety, its implementation has faced significant challenges such as budget constraints, community resistance, and logistical issues. The study highlights the importance of improving collaboration among local authorities, security agencies, and affected communities. The findings also suggest the need for a more transparent and inclusive approach to policy implementation, ensuring the protection of displaced populations' rights.