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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.

Stability testing is an important step in the development of pharmaceutical products. This testing must be conducted before the product is manufactured, whether on an industrial or non-industrial scale. Currently, liquid formulations are experiencing rapid development, one of which is suspension. Suspension itself is a liquid formulation that contains undissolved solid particles dispersed in the liquid phase. To assess the stability of suspension, various evaluations are performed such as organoleptic tests, sedimentation volume, redispersion, density, viscosity, particle size distribution, and pH measurement. Based on several studies, temperature is known to affect the stability of drugs, especially in suspension formulations. A study related to diclofenac suspension showed that at a temperature of 4°C, its stability reaches 96.3%, while at temperatures of 40°C and 60°C, there is a significant reduction in content, amounting to 89.58% and 85.17% respectively. Meanwhile, research on folic acid suspension revealed that the drug remains stable at temperatures of 4°C and 25°C, although on day 90 there was an increase in pH. Another study on cefuroxime axetil suspension showed that at a temperature of 20°C, its concentration was 87.68%, while at 5°C, it was higher at 92.35%. This research underscores the importance of considering temperature in the storage and formulation of pharmaceutical suspensions to maintain their effectiveness and stability.

Commercial facilities such as supermarkets, minimarkets, and traditional stalls are an essential part of urban economic infrastructure services, especially in areas with high population growth. However, the rapid growth of population is not always balanced by an even distribution of commercial facilities. This triggers spatial accessibility inequality. This study aims to analyze the coverage of service areas of the three categories of commercial facilities in Pinang Kencana sub-district, Tanjungpinang City, using a spatial approach based on GIS. The methods employed include network analysis, service area analysis, and Euclidean distance analysis. The results of the study show that the coverage of 0-2,000 meters is an area served by all types of commercial facilities, with an area of 82.5%, while the area beyond 2,000 meters, which accounts for 17.5%, is an unserved area located in the east and southeast. The served zone is characterized by agglomerated residential areas, which have an adequate road network. In contrast, the unserved area is marked by limited road networks and low residential density. This research has strategic implications for policymakers, especially in preparing zoning regulations and Detailed Spatial Planning Plans (RDTR) in Pinang Kencana sub-district, East Tanjungpinang District, Tanjungpinang City.

The transformation of settlement patterns in Ciwandan District, Cilegon City, is a consequence of massive industrial expansion over the past two decades. This change has resulted in the conversion of coastal agricultural land into high-density urban-industrial areas with heterogeneous settlement characteristics. This study aims to describe population dynamics, spatial structure changes, and their impact on the quality of life of the community. The approach used is descriptive qualitative with a literature review method. The findings indicate that the increase in population, particularly the working-age population, is accompanied by the growth of informal housing and pressure on basic infrastructure such as sanitation, clean water, and green open spaces. The imbalance between industrial growth and the provision of public services has created various social and ecological challenges. Therefore, there is a need for the integration of spatial planning policies, adaptive infrastructure development, and partnerships between the government, the community, and the industrial sector to create livable and sustainable residential areas.

Unsignalized intersections are a major point of concern due to the increasing number of vehicles. Bima City is a city located on the eastern part of Sumbawa Island, West Nusa Tenggara Province. As a developing city, congestion and busy traffic often occur on roads or intersections of Mongosidi and Anggrek roads. Therefore, this study was conducted to determine the performance and level of service of unsignalized intersections at Mongosidi Street and Anggrek Street. The method used refers to the Indonesian Road Capacity Manual (MKJI) 1997. This study aims to determine the indicators of traffic behavior at unsignalized intersections. The results of the calculation obtained a total flow of 3147 smp / hour, a capacity value (C) of 4234 smp / hour and a degree of saturation (DS) of 0.74, Traffic Delay (DT) of 8.07 sec / smp, intersection delay (D) of 11.73 sec / smp and upper and lower limit queuing opportunities of 44.46% and 17.74% respectively. This condition occurs on Monday, March 17, 2025 at the peak hour of 06.45-07.45 WITA. For the level of service of the intersection pattern, the conditions on Monday, March 17, 2025 at the peak hour of 06.45-07.45 WITA are also categorized as type C, namely stable flow, but the speed and movement of vehicles are controlled.Drivers are limited in choosing speed, with saturation density (Ds) around 0.45 - 0.74.

This study aims to present a comprehensive bibliometric analysis of Intellectual Quotient (IQ), Emotional Quotient (EQ), and Spiritual Quotient (SQ) in an academic context, particularly focusing on the role of lecturers. Using bibliometric methods. The data for this study came from 300 English-language scientific articles published in 2023 from the Scopus and Google Scholar databases. The analysis was carried out using keyword co-occurrence techniques, overlay visualization, density visualization, and author collaboration networks. The findings show that there is a strong focus on developing conceptual frameworks and reviewing literature related to IQ, EQ, and SQ, indicating an effort to understand the integration of these three intelligences as the foundation for human resource development in higher education. However, several keywords were also found to be thematically irrelevant, suggesting challenges in data filtering or uniqueness of terminology between disciplines. Collaborative networks between authors tend to be fragmented, indicating the potential for fostering broader collaboration. The implications of this study theoretically reinforce the need for the integration of IQ, EQ, and SQ in understanding holistic intelligence, while practically encouraging higher education institutions to design lecturer development programs that balance these three aspects of intelligence to form superior character and performance

Stockpiles are accumulations of materials such as coal or ore stored at specific locations. Accurate stockpile volume measurement is crucial in the mining and logistics industries for inventory management and cost efficiency. Conventional methods like Real-Time Kinematic (RTK) GPS rely on surface coordinate measurements but require numerous points, especially for irregular-shaped objects. Newer technologies like Terrestrial Laser Scanners (TLS) offer high-precision alternatives by capturing thousands of points per second, expediting and enhancing the resolution of volume measurements. This study compares TLS and RTK GPS methods in measuring the volume of andesite rock stockpiles at PT Bara Tabang. This research uses a quantitative approach, involving six Ground Control Points (GCPs) measured using the Sokkia GRX2 RTK GPS on October 24, 2024. TLS generated over 8.6 million point cloud data filtered down to 35,197 points, while RTK GPS yielded 2,276 coordinates. Accuracy testing showed very small RMSE values (RMSEr: 0.008 m; RMSEz: 0.007 m), and both LE90 and CE90 demonstrated 90% confidence within a 0.012 m range. Volume calculation using Surpac software with the cut and fill method showed TLS produced a volume of 18,766 bcm (51,982 tons/m³), while RTK GPS resulted in 18,694 bcm (51,782 tons/m³), with a difference of 72 bcm or 0.211%.These results indicate that both methods offer acceptable accuracy; however, TLS provides greater data density, efficiency, and precision, particularly for complex or large-scale stockpile objects. Therefore, TLS is recommended for high-accuracy volume measurement in mining operations that require efficiency and detailed analysis.

Mining roads play an important role in supporting the smooth running of mining activities, especially in the process of transporting materials. The bearing capacity of the soil as a road subgrade greatly affects the stability and resistance of the road to heavy equipment loads. This study aims to analyze the effect of the plasticity index and compaction parameters on the California Bearing Ratio (CBR) value, as well as to determine the thickness of the road layer based on the laboratory CBR value. Testing was carried out at the South Pit of PT. Bina Sarana Sukses site PT. Baramulti Suksessarana with a field test method using the Dynamic Cone Penetrometer (DCP) and laboratory tests such as proctor tests, Atterberg limit tests, and CBR tests on various variations of clay and sand soil mixtures. The results showed that increasing the plasticity index decreased the CBR value, while increasing the maximum dry density and decreasing the optimum water content increased the CBR value. Based on the laboratory CBR value, recommendations were obtained for the appropriate road layer thickness to ensure optimal bearing capacity for heavy equipment passing through the research area.

The purpose of this research is to get the optimum condition of temperature and ideal ratio biopellet made from shell and kernel of rubber seed by using screw oil press machine according to Indonesian National Standards (SNI 8021-2014) which include heating value, ash content, moisture content, volatile matter, and density of biopellet. Comparison of the basic ingredients shell and kernel of rubber seed in this research include 80:20, 70:30, 60:40, 50:50, and 40:60 with varying temperature 200ᵒC and 150ᵒC. The results of the research it is known that the best composition of biopellet is a sample at temperature 200ᵒC, and ratio of shell and kernel of rubber seed 80:20 with calorific value of 5,083.4919 cal/g, moisture content of 4,00%, density 1.6322 gr/ cm3, ash content 1.9802%, volatile matter 77.1881%, and fixed carbon 16.8317%. The calorific value and the proximate analysis have fulfilled the SNI 8021:2014.

The production process is a crucial aspect in ink formulation, especially violet spot color inks for gravure printing applications, which cannot be accurately reproduced through conventional process printing systems (CMYK). This research aims to optimize the production parameters of violet gravure inks that often exhibit color instability due to delays in the grinding and adjusting stages. The main focus of this research is to analyze the effect of variations in grinding duration, post-grinding aging time, and the amount of raw material on ink color yield, which is evaluated based on density, CIE Lab*, and ΔE parameters. The methodology used was a descriptive experiment on a laboratory scale. The results showed that the optimal treatment combination of grinding for 90 minutes, aging for 48 hours, and the use of 400 grams of material (P3K2L4) produced the highest density value (1.858) and ΔE (0.572), indicating color stability despite quantity variations. This finding indicates that optimization of grinding and aging time contributes to the improvement of pigment dispersion homogeneity and thermal stability of the resin, even without direct measurement of the transition glass temperature (Tg) value.

This study aims to determine the effect of fry stocking density on income in vanamei shrimp (Litopenaeus vannamei) farming at PT Esaputli Prakarsa Utama. The research employs quantitative methods using primary and secondary data gathered through participatory observation. Simple linear regression tests, correlation coefficients, and partial tests (t-tests) were used to answer the research questions and test the hypotheses. The results of the study, as determined by the t-test, revealed that stocking density did not have a significant impact. The t-count value was -0.997, which is smaller than the t-table value of 2.896, and the significant value was 0.348, which is greater than 0.05. The recommendations submitted to determine the effect on income are more directed toward the production process of the shrimp farming business.

This study aims to analyze the dynamic relationship between population density, Gross Regional Domestic Product (GRDP) per capita, and regional economic inequality in Indonesia over the period 1995–2024. Regional inequality is measured using the Gini Ratio as a key indicator. A quantitative method with a time series approach is employed using the Vector Autoregression (VAR) model. The analysis includes unit root testing, optimal lag selection, VAR estimation, impulse response function (IRF), variance decomposition, and Granger causality testing. The results show that population density has a positive effect on regional inequality, while GRDP per capita has a negative effect. However, both variables are statistically insignificant. The impulse response analysis indicates that a shock in population density tends to increase inequality in the short term, whereas a shock in GRDP per capita tends to reduce inequality. The Granger causality test reveals that population density regional inequality, while GRDP per capita does not have a significant causal effect. Overall, the findings suggest the importance of equitable economic development and population control policies in reducing regional disparities in Indonesia.

Population density on the banks of the Ciliwung River, especially in the Pasar Minggu, South Jakarta, continues to experience a significant increase. This study aims to analyze the impact of population density on flood frequency and environmental degradation in the area. The method used is a mixed approach with descriptive-analytical methods, then data is collected through observation, interviews, questionnaires, and documentation. The results of the study indicate that the high population density on the banks of the river narrows the water flow and increases the volume of household waste that is directly discharged into the river, thereby exacerbating the risk of flooding and reducing the quality of water and the surrounding environment. The conclusion of this study emphasizes the importance of cooperation between the government, community, and other stakeholders in settlement planning, waste management, and environmental education and monitoring on an ongoing basis as an effort to mitigate flooding and improve the environment in the riverbank area

Marelan is one of the 21 districts in the city of Medan. It is widely recognized as a highly visited area and is also the second most densely populated district in the city. Due to the high level of activity and population density, there is a need to enhance the visual identity of Medan Marelan District through the design of a logo. In the logo design process, the author employs both primary and secondary research methods, with a particular emphasis on the 5W+1H and SWOT analysis techniques to generate creative ideas for the logo. Given the numerous potentials that Marelan possesses, the logo is expected to reflect the unique characteristics of the district. With the new logo, it is hoped that Medan Marelan District will have a strong and recognizable visual identity for both residents and visitors, and will continue to support the economic growth of the local government and surrounding communities.

The rapid population growth in South Tangerang City has led to an increasing demand for housing, public facilities, and adequate community activity spaces. This phenomenon presents a challenge in providing proper and multifunctional spaces efficiently. This study aims to formulate architectural design strategies through a mixed-use development approach as a solution to mitigate the impact of population density in satellite urban areas. A mixed-methods approach, combining both quantitative and qualitative methods, was employed. Data were collected through questionnaires, field observations, spatial analysis, and in-depth interviews with residents and area users. Quantitative analysis was used to measure spatial needs and activity patterns, while qualitative analysis aimed to understand social preferences and local cultural contexts. The findings indicate that integrating residential, commercial, and public facility functions within a single area can improve land-use efficiency, reduce daily mobility, and strengthen inclusive social interaction spaces. The proposed design strategies include vertical spatial organization, flexible zoning, and the provision of green open spaces that support social and ecological sustainability. This research provides a foundation for the development of adaptive, participatory, and sustainable architectural designs for high-density urban areas such as South Tangerang City.

Registration counter services as the main gateway for patient interaction with hospitals play a crucial role in shaping public perception of the quality of health services. However, Kaimana Hospital faces challenges such as long queues, limited physical facilities, and reliance on coordination between units, which have the potential to reduce patient satisfaction. This study aims to analyze the gap between patients' expectations and perceptions of the quality of registration counter services using the SERVQUAL model, focusing on five dimensions: Reliability, Assurance, Tangibles, Empathy, and Responsiveness (responsiveness). The qualitative-descriptive method is applied through direct observation during the workday, semi-structured interviews and analysis of secondary documents. The results of the study showed that officers were considered competent in providing Assurance information  and showed spontaneous empathy for the Empathy vulnerable group. However, the Reliability  dimension is hampered by long queues and reliance on the availability of medical personnel, while Tangibles is limited to physical facilities that are less adaptive during visitor density. Responsiveness is also influenced by fluctuations in the number of patients and coordination between units that are not optimal. The main gap lies in the absence of a digital queuing system, structured inclusive protocols, and standardization of officer competencies. Strategic recommendations include certification-based HR training, integration of digital queue technology, infrastructure optimization, and strengthening operational coordination. This research emphasizes the importance of a holistic approach to create an inclusive, efficient, and sustainable service ecosystem, as well as a reference for regional hospitals in improving the quality of services based on the SERVQUAL model.  

Nutritional problems such as obesity warrant serious attention, due to their potential to contribute to various other health complications. One modifiable factor associated with obesity that can be targeted through intervention is dietary pattern, including adoption of vegetarian diet. Several previous studies have suggested that vegetarian diets may be effective in promoting weight loss. This study aims to examine the potential role of vegetarian diets in the management of obesity. The method employed in a literature review of relevant studies published within the last ten years. The findings indicate that vegetarian diets are effective in reducing body weight, insulin resistance, blood glucose levels, trimethylamin N-oxide (TMAO), low-density lipoprotein (LDL), triglycerides (TG), and total cholesterol levels. Additionally, they are associated with increased high-density lipoprotein (HDL) levels and improvements in lipid profiles, as well as kidney and liver function. Nevertheless, the implementation of vegetarian diets among individuals with obesity should be carefully supervised and planned by qualified professionals to minimize the risk of nutritional deficiencies.

This research aims to analyze the factors causing delays to passenger trains on the Makassar-Pare-Pare route and to provide recommendations to improve travel timeliness. This research uses a qualitative approach with interview methods and literature study to obtain more in-depth data regarding the factors that influence delays. Based on research results, train delays are caused by several factors, including inadequate infrastructure, irregular track maintenance, extreme weather, as well as technical and operational problems. The results of interviews with officers and passengers revealed that a lack of coordination between field officers and the control center was also one of the main causes. This research suggests the need for improvements in planning departure schedules, increasing coordination between related parties, improving rail infrastructure, and managing passenger density. It is hoped that with these recommendations, train delays can be minimized, provide better comfort for passengers, and improve the quality of train services on the Makassar-Pare-Pare route

The purpose of this study was to analyze the factors that influence the existence of slums in Tematta Dorf district, Medan. Slums are one of the serious problems in urban development that affect the quality of life of the community. The method used in this study is a quantitative method with a descriptive approach and multiple regression analysis. Respondents consisted of field surveys, interviews, data received through documents, and residents and relatives. The results of the study indicate that several main factors that influence the existence of slums in this area are income levels, population density, availability of basic infrastructure, and spatial politics. Limited infrastructure and low community income have the most important impacts of these factors. This study concludes that efforts to overcome regional slums require a multidimensional approach by improving infrastructure, spatial sustainability planning and strengthening the community economy.

This study aims to analyze the trends and development of research related to the use of Geogebra in improving the understanding of the concept of revival with a bibliometric approach. Data was collected from the Google Scholar database using the Publish or Perish (PoP) application in the 2020-2025 time span. The initial identification results found 393 documents, which were then filtered to obtain 11 documents worthy of analysis. The analysis was conducted with the help of VOSviewer software to map keywords, annual trends, and research topic density. The results showed that the number of publications increased significantly since 2021, with peaks in 2022 and 2023. Network, overlay, and density visualizations show that the topic of Geogebra usage is growing and diversifying, with a focus on interactive learning models, student abilities, and visual understanding of the concept of congruence. This research makes an important contribution to literature mapping and opens up opportunities for further research in the field of mathematics education technology.