Publication Search

The conversion of agricultural land to non-agricultural land continues to increase along with the pressures of urbanization, industrialization, and settlement expansion. This condition poses risks to food security, environmental sustainability, and farmer welfare. This article reviews literature based on 25 abstracts/research results on LP2B in Indonesia to map policy implementation patterns, the relationship between LP2B and regional spatial planning, inhibiting factors, and the direction of policy strengthening. The method used is a narrative review with thematic synthesis of normative legal studies, juridical-empirical, qualitative, mixed methods, and spatial-quantitative approaches. The results of the review indicate: (1) LP2B is highly dependent on the harmonization of spatial planning policies, especially RTRW/RDTR and licensing mechanisms based on KKPR-OSS; (2) many regions are still stuck at the land inventory-identification stage, not yet reaching the determination and operational protection through LP2B Regional Regulations; (3) dominant obstacles include regulatory asynchronous, weak law enforcement, minimal cross-agency coordination, limited data by name by address, suboptimal socialization, and conflicts of interest in non-agricultural development; (4) incentive-disincentive instruments have not been implemented consistently, although socially farmers tend to accept LP2B protection; and (5) quantitative evidence at the national level shows that LP2B policies have a positive effect on the percentage of rice fields, despite being suppressed by population density and real estate sector growth. This article emphasizes the need for an integrated spatial governance approach, strengthening regional institutions, and designing policies that are socially and environmentally just to ensure that LP2B is effective in maintaining regional food security.

The majority of Kebomas District's residents are connected to working hours during government office hours (Monday through Friday), which creates access obstacles in administering public services due to the high population density and busy community life. In response to these time constraints, the SOS MAS (Service On Saturday in Kebomas District) invention was introduced, which offers services on Saturdays. However, the implementation of this innovation still faces challenges in the form of a low social integration rate and a restricted range of public services that have the potential to sway public opinion. The goal of this research is to assess how the SOS MAS innovation affects community happiness in Kebomas District. A quantitative technique with an associative approach is used in this research. Through an unintentional sampling method, questionnaires were given to 86 individuals in order to gather primary data. With the aid of SPSS, the determinant coefficient and a simple linear regression test were used to analyze the data. The study's findings reveal that the SOS MAS invention has a favorable and substantial influence on community happiness. The regression coefficient of 0.969 and a significance level of 0.000 <0.05 support this. The innovation variable accounted for 59.7% of public happiness, while the remaining 40.3% was impacted by variables not included in the study model, according to the coefficient of determination (R2) test. This result supports the notion that the efficacy of service innovation outside of working hours is a major element in boosting happiness for individuals with limited time. The SOS MAS innovation has been shown to greatly improve public satisfaction. Agencies are encouraged to improve their communication and outreach efforts as well as create SOS MAS innovations that maximize the advantages of innovations that meet community needs.

This study aims to apply the Principal Component Analysis (PCA) method to identify the main factors influencing poverty in North Sumatra Province. Poverty rates in this region show significant variations among districts and cities, influenced by differences in social, economic, educational, and basic facility availability. The data used in this study include eleven indicators related to population, education, health, access to basic services, and economic conditions. All variables were initially normalized to ensure they had comparable scales, then PCA feasibility tests were conducted using MSA, KMO, and Bartlett's test, which indicated that the data were eligible for further analysis. The results of the PCA revealed three main components explaining a total of 69.91 percent of the variation. The first component represents regional population and economic factors, with the largest contributions coming from population density, open unemployment rate, and per capita expenditure. The second component reflects household living conditions, such as access to clean water, adequate sanitation, and health complaints. The third component describes the educational dimension through indicators of the population aged at the primary and secondary school levels. These findings indicate that poverty in North Sumatra is influenced not only by economic factors but also by the quality of basic services and education levels among the population. Therefore, this research is useful for policymakers at the central and regional government levels to consider the factors influencing the increase in poverty in North Sumatra.

Population density plays a critical role in shaping public health outcomes and environmental quality, particularly in rapidly urbanizing regions. This study aims to analyze the relationship between high population density and its impacts on sanitation conditions, air quality, access to clean water, and the incidence of various diseases in densely populated areas. The research adopts a qualitative descriptive approach by combining a comprehensive literature review with field observations conducted in several urban areas characterized by high population concentration. The findings reveal that increased population density is closely associated with environmental degradation, including inadequate sanitation systems, reduced air quality due to pollution, and limited availability of clean water. These environmental challenges contribute directly to a higher prevalence of health problems, such as respiratory infections, waterborne diseases, and other communicable illnesses. Overcrowded living conditions also intensify the spread of diseases, placing additional pressure on public health infrastructure. Furthermore, the study highlights that insufficient public facilities and poor environmental management exacerbate the negative effects of population density on both health and the environment. To address these challenges, effective strategies are required, including population growth control, improved urban planning, and enhanced investment in public health and environmental sanitation facilities. Strengthening community awareness and participation in maintaining environmental cleanliness is also essential. Overall, this study emphasizes the need for integrated policies that balance population management with sustainable environmental and public health development.  

This study aims to design and build a population distribution application in Demak Regency in 2025 using a Geographic Information System (GIS) approach. The study focuses on three main variables: population, population density, and population growth rate per sub-district. The author used the research method of collecting data and references that can later strengthen the results of this study and the application design using the waterfall model. Non-spatial data, namely data in the form of population information, was obtained from the Central Statistics Agency of Demak Regency, while spatial data is data related to regional administrative boundaries. Data processing was carried out using QGIS 2.18 through the stages of joining attributes, classification using the Natural Breaks (Jenks) method, and thematic map creation. The results show that population distribution is uneven. Demak Kota, Karangtengah, and Sayung sub-districts have the highest number and density, while coastal sub-districts such as Wedung and Bonang have low densities. The highest population growth rate is in Karangtengah sub-district at 0.8%. The application of GIS has proven effective in visualizing population distribution and supporting spatial-based regional development planning.  

Tebing Tinggi City, which has a strategic position in North Sumatra, is experiencing changes in population growth that need to be predicted for development planning purposes. The purpose of this study is to forecast the population of Tebing Tinggi City in 2030 by applying the Double Integral method, and visualize the results in 3D using GeoGebra. The method used is a quantitative approach with a case study, where the population density function is created based on secondary data from the Central Statistics Agency (BPS) of Tebing Tinggi City for the period 2010 to 2024. Data on area and population per sub-district are used to develop a population growth model calculated using the double integral. The forecast results show that the population of Tebing Tinggi City is estimated to reach 26,038 people in 2030, with varying growth rates in each sub-district. 3D visualization through GeoGebra is able to depict the distribution of population density in an interactive geometric form, thus facilitating the understanding of complex mathematical concepts. The conclusion of this study is that double integrals can be applied effectively to predict population size, and GeoGebra serves as a very useful visual aid in presenting the results of multivariable calculus analysis.

This study, entitled "A nalysis of Population Density, Economic Growth Rate, and the Number of Motorized Vehicles on Environmental Quality in Indonesia," aims to analyze: 1) the development of environmental quality in Indonesia; 2) the influence of population density, economic growth rate, and the number of motorized vehicles on environmental quality in Indonesia. This study employed a quantitative method, utilizing secondary data from 2019-2023, sourced from the Central Statistics Agency (BPS), the Ministry of Environment and Forestry (KLHK), and other sources. Panel data analysis tools, classical assumption tests, and hypothesis testing were used. Panel data regression results indicate that, partially, population density has a significant negative effect, economic growth rate has a negative and significant effect, while four-wheeled and two-wheeled motorized vehicles have a positive and significant effect on environmental quality in Indonesia. Meanwhile, collectively, population density, economic growth rate, and the number of motorized vehicles significantly influence environmental quality in Indonesia.

Choosing a strategic business location is a key factor in building a successful enterprise, especially in Lautem Municipality, Timor-Leste. This area presents various opportunities for businesses such as grocery shops, small restaurants, repair workshops, and agricultural ventures. However, entrepreneurs often face challenges like poor road infrastructure, limited purchasing power, and inadequate transport access. This study developed a web-based Decision Support System (DSS) using the ELECTRE method to help business owners select the most suitable location. The system evaluates multiple location options based on important criteria such as population density, transportation access, and economic activity. By using this approach, entrepreneurs can reduce the risk of choosing an unprofitable location and improve their chances of success. The results show that implementing the ELECTRE method in a DSS is effective for identifying optimal business sites. These findings are expected to serve as a practical reference for entrepreneurs in Lospalos and nearby areas, while also supporting local economic development in the region.

Household organic waste production in Thekelan Hamlet has increased along with population density and agricultural activities, potentially having negative impacts on the environment and health. However, this waste actually has the potential to be processed into environmentally friendly products with economic value, one of which is eco-enzymes. This community service activity aims to increase community awareness and skills in processing organic waste into eco-enzymes through a participatory approach, technical training, and live demonstrations. The main partners in this activity are housewives and village environmental cadres, who are the main targets for introducing organic waste processing techniques. During the implementation, participants were trained on the benefits and how to produce eco-enzymes independently. This activity not only provided an understanding of the eco-enzyme production process but also motivated participants to produce eco-enzymes independently at home. The results of this activity showed a significant increase in understanding of the benefits of eco-enzymes as an environmentally friendly product, which can be used as a natural cleaner and organic fertilizer. In addition, participants also began to demonstrate the initiative to produce eco-enzymes independently, which has the potential to reduce household organic waste and increase economic value through the utilization of this product. The findings from this activity demonstrate that community-based waste management can not only be an environmentally friendly solution but also has high economic value. This empowerment model can serve as a sustainable model and be implemented in other areas, providing extensive benefits to the environment and the local economy. Furthermore, this activity introduced the concept of sustainable waste management to the community, providing them not only with new knowledge about organic waste processing but also with the opportunity to apply these techniques in their daily lives.

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.

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.

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.

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.

Pediculosis capitis is an infestation of head lice Pediculus humanus capitis that live on the scalp and suck blood as a source of nutrition. Transmission occurs through direct contact or sharing personal items, especially in environments with poor sanitation. Risk factors include age, population density, personal hygiene, and socioeconomic status. Symptoms include severe itching due to a reaction to the saliva of the lice, which can cause excoriation, irritation, and secondary infections such as pyoderma. In this report, a 17-year-old girl complained of scabs, pain, heat, and itching on the head and neck. Lice and lice eggs were found, as well as ecthyma lesions in the form of pustules, yellow crusts, and excoriations in the occipital area and back of the neck. The therapy given was a combination of drug and non-drug treatment. The evaluation results showed improvement in symptoms. This case emphasizes the importance of early diagnosis and comprehensive management to prevent reinfection.

Poverty is a problem that continues to be faced by both developed and developing countries. In developing countries with high population density, this problem is very difficult to overcome, because the increase in population not only impacts the economy, but also political instability. This study aims to determine the effect of unemployment and population on poverty in Aceh Province. This data was obtained from the BPS publication for the period 2020-2023. This study uses panel data regression analysis. Partially, unemployment (X1) does not have a significant effect on poverty (Y) while the HDI figure (X2) has a significant effect on poverty (Y). Likewise, together, unemployment and population have a significant effect on poverty.

This study analyzes the psychological impact of the armed conflict in Yemen by comparing urban and rural populations through a systematic review and meta-analysis of 47 published studies (N=28,463) from 2015 to 2024. The analysis reveals a significantly higher prevalence of PTSD in the urban population (42.8%, 95% CI [39.2-46.4]) compared to the rural population (31.5%, 95% CI [28.1-34.9], p<.001). In addition, multilevel regression analysis indicates a strong correlation between the level of exposure to conflict and the severity of depressive symptoms (r=.68, p<.001) and anxiety (r=.72, p<.001) in both populations. Additionally, when examining specific urban risk factors, calculations indicate that population density (OR=1.86, 95% CI [1.54-2.18]) and loss of infrastructure (OR=1.73, 95% CI [1.45-2.01]) are significant. Moreover, geographic isolation (OR=1.92, 95% CI [1.67-2.17]) and limited access to mental health services (OR=2.14, 95% CI [1.89-2.39]) also demonstrate prominent risk factors, thereby emphasizing the predominance of specific urban risk factors in rural areas. These findings contrast with the research conducted by Le & Nguyen (2023) and Carpiniello (2023), which focused solely on general impacts; thus, the novelty of this research lies in its success in identifying distinct patterns of psychological trauma based on geographic characteristics. In addition, this study successfully reveals the differing mediating mechanisms of social support between urban (β=-.42, p<.001) and rural (β=-.28, p<.01) populations in mitigating the impacts of the Yemeni war trauma.

Toko Liv Beauty is one of the business players in the beauty sector that is developing in North Sumatra, specifically in the West Binjai sub-district, Binjai City. As a store that provides various beauty products, this research aims to assist Toko Liv Beauty in determining a strategic location for opening a new branch using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The TOPSIS method was chosen for its ability to analyze alternatives based on positive and negative ideal solutions objectively. A case study was conducted at three potential locations in Binjai: Binjai City, Binjai South, and Binjai North, considering five main criteria: population density, ease of transportation access, number of competitors, rental costs, and building area. The analysis process involves normalizing the decision matrix, calculating weighted values, identifying ideal solutions, and determining alternative preferences. The analysis results show that the location with the highest preference is Binjai North (1), followed by Binjai South (0.5885) and Binjai City (0). Thus, Binjai North is recommended as a strategic location for opening a new branch of Toko Liv Beauty. The implementation of the TOPSIS method in this research is expected to contribute to more effective data-driven decision-making for the business development of Toko Liv Beauty.

This study aims to determine and analyze the Level of Education, Economic Growth, and Population Density on Quality of Life in Aceh, using a descriptive-quantitative approach in the form of time series data, for 5 years in the form of secondary data selected from the total of Aceh Province. The model used in this study is a multiple linear regression analysis model (Multiple Linear Regression) based on the OLS (Ordinary Least Square) method. Simultaneously, the F test shows that the three independent variables together have a significant effect on quality of life, with a calculated F value = 85.495, sig. = 0.000, and F table = 2.70. The coefficient of determination shows a value of R Square = 0.728, which means that 72.8% of the variation in quality of life can be explained by education level, economic growth and population density, while the rest is influenced by other variables outside the model.

The population density in Surabaya City makes the needs of the community, one of which is transportation, high. Transportation has an important role in meeting the needs of the community in everyday life in the economic, socio-cultural and political fields. Unfortunately, this has led to traffic congestion. Thus, Surabaya City is trying to improve the public transportation system by launching environmentally friendly public transportation as an effort to implement a green economy, namely Suroboyo Bus. This research uses a qualitative method with a library research approach. Information was obtained from various institutional reports, scientific articles, websites, books, and related regulations. The focus of data acquisition sources is credible journal publishers. The results showed that congestion in Surabaya City was reduced due to the enthusiasm of the community to switch to public transportation compared to private vehicles to reduce greenhouse gas emissions. In addition, the Suroboyo Bus payment innovation by exchanging plastic bottles has succeeded in attracting the interest and awareness of some people in Surabaya City to manage plastic bottle waste, although there are still other complaints in the implementation of the policy. The role of Suroboyo Bus as an effort to improve the green economy can be said to be quite successful, but improvements still need to be made and the involvement of the government and the community so that Suroboyo Bus continues to be an environmentally friendly sustainable transportation.