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Background: South Tangerang City has experienced an increase in the prevalence of diarrhea in children under five years old over the past three years. In 2023, South Tangerang City prevalence of the incidence of diarrhea in under five years old 17,68%. Purpose: This study aims to determine the distribution of diarrhea incidence in children under five years old based on risk factors through a spatial analysis approach in South Tangerang City in 2023. Methods: This study employs a quantitative, descriptive approach with an ecological design. The study was conducted from November 1, 2024, to July 31, 2025. The population and sample of this study consist of all seven sub-districts in South Tangerang City in 2023, using a total sampling technique. The variables studied included diarrhea incidence in children under five years old, population density, safe sanitation access, supervised drinking water facilities according to standards, and vitamin A supplementation coverage. Secondary data was obtained from the Health Department and the Central Statistics Agency of South Tangerang City in 2023. Results: The study results showed that in 2023, Pamulang Subdistrict had the highest number of diarrhea incidences in children under five years old. The area is also known to have a very high population density, safe sanitation access that is still below the national target, the percentage of supervised drinking water facilities and vitamin A coverage that has reached the national target. Conclusion: Most subdistricts in South Tangerang City in 2023 have high and low rates of diarrhea in children under five years old, and safe sanitation access is still below the national target.

The development of an economic activity in a city is often one of the influences on changes in the use of residential space in the surrounding area. One of the phenomena that we can see in big cities in Indonesia is the use of residences as rental housing such as boarding houses and rents aimed especially at workers in foreign areas. This study aims to analyze the use of residential space by the community as temporary residence for employees of Mie Gacoan restaurant in Serang City, Banten, and see how it affects the spatial dynamics of the residential area. This study uses a primary and secondary data-based case study method with a qualitative descriptive approach. The results of the study show that the existence of economic activities around residential areas can encourage an increase in the need for temporary housing for workers in rural areas. This phenomenon makes some people take advantage of their residences by making them rental residences such as boarding houses and rented ones. This can affect the spatial structure of the residential area, such as increasing population density, increasing activities in the residential environment, and the presence of small economic activities by the community. Therefore, this phenomenon states that the development of economic activity in an urban area can trigger changes in the use of space in the surrounding residential area.

This study aims to analyze the dynamics of urban growth, land use change, and settlement development in Wamena City during 2020–2025. The research employed a quantitative descriptive approach using satellite imagery and population data obtained from the Central Bureau of Statistics (BPS) of Jayawijaya Regency. The analysis was conducted through satellite image interpretation to identify land use changes and the expansion of built-up areas.The results indicate that the built-up area in Wamena City increased from 1,250 hectares in 2020 to 2,012 hectares in 2025. Meanwhile, the population increased from 44,315 people to 49,102 people during the same period. Land use changes were dominated by the conversion of open land into residential areas and other urban facilities. Settlement growth generally followed the main road networks, city center, and areas surrounding Wamena Airport. Population growth, urbanization, economic activities, and infrastructure development were identified as the main factors influencing urban growth dynamics in Wamena City. These conditions resulted in reduced open spaces and increased urban density.

Tuberculosis (TBC) in children remains a serious public health problem in Indonesia, with the 0–14 age group accounting for 16.2% of total notified cases in 2024. The uneven distribution of cases across provinces is thought to be influenced by various social determinants, yet spatial studies specifically on childhood TBC at the national level remain scarce. This study aimed to analyze the spatial pattern of childhood tuberculosis cases and social determinants in Indonesia in 2024 using a spatial ecological design across 38 provinces. Analysis included descriptive statistics, thematic mapping using QGIS, Moran's I test, and Local Indicator of Spatial Association (LISA) with queen contiguity weighting matrix. Results showed a strong positive spatial autocorrelation with a Moran's I value of 0.612. High-high clusters were identified in DKI Jakarta, Central Java, Banten, and West Java, which simultaneously recorded high population density and low primary healthcare ratios. Territory-based interventions should be prioritized in these hotspot provinces.

Tuberculosis (TBC) in children remains a serious public health problem in Indonesia, with the 0–14 age group accounting for 16.2% of total notified cases in 2024. The uneven distribution of cases across provinces is thought to be influenced by various social determinants, yet spatial studies specifically on childhood TBC at the national level remain scarce. This study aimed to analyze the spatial pattern of childhood tuberculosis cases and social determinants in Indonesia in 2024 using a spatial ecological design across 38 provinces. Analysis included descriptive statistics, thematic mapping using QGIS, Moran's I test, and Local Indicator of Spatial Association (LISA) with queen contiguity weighting matrix. Results showed a strong positive spatial autocorrelation with a Moran's I value of 0.612. High-high clusters were identified in DKI Jakarta, Central Java, Banten, and West Java, which simultaneously recorded high population density and low primary healthcare ratios. Territory-based interventions should be prioritized in these hotspot provinces.

Magelang City faces the challenge of limited land availability, with a total area of only 18.58 km2 and a high population density. Consequently, telecommunications infrastructure development requires a precise strategy. This study aims to analyze the business model and investment feasibility of Pole and Greenfield type telecommunication towers in Magelang City. Using a descriptive quantitative approach, this research processes secondary data from PT Dayamitra Telekomunikasi Indonesia by applying feasibility analysis based on Life Cycle Costing (LCC), Net Present Value (NPV), Internal Rate of Return (IRR), Break-Even Point (BEP), Payback Period (PP), and Benefit-Cost Ratio (BCR). The results indicate significant differences in cost structures; Pole towers proved to be more efficient, requiring an initial capital outlay of only 28.8% of the total capital required for Greenfield towers. Greenfield towers generated an NPV of Rp13.07 billion with an IRR of 20%, while Pole towers generated an NPV of Rp2.46 billion with a higher IRR of 23%. Pole towers have proven to offer a faster return on investment and better operational cost efficiency, making them the most strategic option to support network densification and the implementation of 5G technology in urban areas with spatial constraints like Magelang City.

Coal hauling activities are an important part of mining operation because they affect production continuity, cycle time efficiency, and operational safety. This study aims to analyze the requirements of road support equipment on the coal hauling road from Sector 4 to the new Coal Processing Plant (CPP) at PT. Asmin Bara Bronang, Central Kalimantan. Based on road geometry, traffic density, California Bearing Ratio (CBR), and Unsurfaced Road Condition Index (URCI). The research method used was applied research with a quantitative approach. Primary data ware collected through field measurements consisting of road geometri observations, traffic density observations, Dynamic Cone Penetrometer (DCP) testing to obtain CBR values, and road surface condition assessment using the URCI method. Secondary data were obtained from the company records. The results showed that the hauling road has a total length of 9.1 km with an average width of 16 m, and grade values ranging from -7.68% to 10.52%, which are still below the maximum standard of 12%. Traffic density reached 184 dump trucks/day, for coal hauling and 62 units/day for construction material transportation, indicating high traffic intensity. CBR values ranged from 7% to 100%, showing variations in subgrade bearing capacity. The URCI value ranged from 72,50 to 91.00, indicating fair to good road conditions. Based on the analysis of road conditions and maintenance area requirements, the recommended support equipment for maintaining the hauling road consists of 1 motor grader unit, 1 compactor unit, 1 bulldozer unit, and 1 water truck unit.

According to the Regulation of the Minister of ATR/BPN of the Republic of Indonesia No. 14 of 2022 concerning the Provision and Utilization of Green Open Space, an area must have at least 30% Green Open Space of its total area with details of 20% as Public Green Open Space and 10% as Private Green Open Space. The availability of Public Green Open Space in Pangkalpinang City is ± 1,486 ha or ± 14% of the total area, less than 6% of the applicable provisions. The purpose of writing this scientific article is to determine the potential distribution of Public Green Open Space in Pangkalpinang City as an effort to fulfill the availability of Green Open Space in the area. The variables or data used are open land by considering residential / non-residential areas, building density, distance from roads and distance from rivers, as well as land ownership or control status, content in the Spatial Plan, and Green Open Space typology. This study uses overlay analysis techniques to determine the distribution of potential Public Green Open Space in the Pangkalpinang Region. The results of the study indicate that there is still a distribution of potential land that can be developed into public green open space including green open space areas/zones in the form of road borders and other areas/zones in the form of areas that provide protection to the area below, spring borders, underpasses, beaches, and rivers. The distribution of potential public green open space can be used as a consideration in fulfilling the availability of public green open space in the Pangkalpinang area of ​​20% of its area. The fulfillment of Public Green Open Space can provide ecological and social functions for the surrounding environment.

Blood is a major component of the homeostatic system that plays an essential role in maintaining the physiological balance of the body. Several blood chemistry parameters, including blood glucose, cholesterol, and blood pH levels, can be used to assess an individual's health condition. Blood glucose is derived from carbohydrate metabolism and serves as the body's primary energy source. Cholesterol is a lipid compound involved in cell membrane formation and hormone synthesis and consists of Low-Density Lipoprotein (LDL) and High-Density Lipoprotein (HDL). Blood pH measurement is used to determine the degree of acidity or alkalinity of the blood, reflecting the body's acid-base balance. This study aims to interpret the results of blood chemical analyses and understand the principles and methods used to determine blood glucose, cholesterol, and pH levels. The research employed a laboratory experimental method by measuring these parameters using blood chemistry testing equipment on blood samples. The results showed that fasting blood glucose was 97 mg/dL, indicating a normal glucose level. In contrast, non-fasting blood glucose was 61 mg/dL, which was below the normal range and indicated hypoglycemia. Blood cholesterol was measured at 139 mg/dL, which remained within the normal range. The blood pH value was 6, indicating a condition of acidosis. These findings highlight the importance of blood chemistry examinations as indicators for evaluating metabolic conditions and overall health status.

This research aims to analyze the effectiveness of the Trans Banten Program in supporting the development of public transportation in Serang City. The research uses qualitative methods with a case study approach. Data was collected through observation, interviews, documentation and literature study, then analyzed interactively. The research results show that the Trans Banten Program is quite effective in increasing community accessibility and mobility, especially towards areas of education, government and public services. This service also provides economic benefits through reduced transportation costs and is supported by facilities that are relatively comfortable and safe for users. In addition, the increase in the number of passengers shows the public's acceptance and need for public transportation. However, the effectiveness of the program is not yet optimal because there are still obstacles in the form of fleet limitations, inaccurate operational schedules, passenger density during peak hours, and limited service information. Therefore, it is necessary to improve service quality, add fleets, and strengthen information systems to support the sustainability and optimization of the Trans Banten Program as public transportation in Serang City.

The increasing complexity of urban transportation systems demands intelligent and measurable navigation methods. Medan City, the capital of North Sumatra Province, has a dense road network with multiple route options that often confuse road users. Dijkstra's Algorithm, developed by Edsger Wybe Dijkstra in 1959, is a greedy-based computational approach proven effective for solving the shortest path problem on non-negative weighted graphs. This study applies Dijkstra's Algorithm to determine the shortest route from Medan Railway Station to Universitas Negeri Medan (UNIMED). The road network was modeled as an undirected weighted graph with 15 nodes and 16 edges, where edge weights represent actual road distances measured via Google Maps. The graph has a density of 0.152, confirming its sparse graph characteristic. Three alternative routes were identified and analyzed. The algorithm was implemented in Python 3 using the heapq module as a priority queue. Results show that the optimal route is A → B → C → E → F → M → N → O via Jl. M.T. Haryono, Jl. Aipda KS Tubun, Jl. Madong Lubis, and Jl. Prof. H.M. Yamin, with a total distance of 6.64 km. This achieves 99.1% accuracy compared to Google Maps, with a deviation of only 0.06 km. The optimal route is 6.25% more efficient than Alternative Route 1 (7.30 km) and 11.9% more efficient than Alternative Route 2 (7.54 km). The algorithm executes in under 1 millisecond with time complexity O((V+E) log V). These findings confirm Dijkstra's Algorithm as highly effective for medium-scale urban road network optimization.

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.

The acceptance sampling test of coffee cherries is an important quality control stage in Arabica coffee processing, yet operational evidence at the estate level remains limited. This study aimed to analyze the implementation of acceptance sampling for coffee cherries and to identify the proportions of normal and defective cherries as a basis for improving harvest quality. The research was conducted at an Arabica coffee estate in Situbondo by observing monthly harvest samples from April to August 2024 to classify cherry color (red, partially ripe, green, and black) and fruit density after soaking (partially empty, empty, single bean, and double bean). The results showed that the cherry composition consisted of 93.63% red, 3.54% partially ripe, 0.09% green, and 2.84% black cherries. The density test results indicated 4.30% partially empty cherries, 0.79% empty cherries, 10.27% single-bean cherries, 84.58% double-bean cherries, and 4.00% coffee berry borer-infested cherries. These findings indicate that acceptance sampling is useful for identifying harvest lots that do not meet quality standards and can serve as a basis for improving red cherry picking practices, harvest timing, and field supervision.

The oil and gas industry requires efficient initial processing to separate reservoir fluids into oil, gas, and water phases. The Separator Unit is the main facility that plays a vital role in the surface facility production stage. This study aims to evaluate the type of separator used, identify control components, and understand the working principles and operational procedures of separators in the Main Production Facility (MPF) area. The methodology used is direct observation and literature studies during the implementation of practical work in July 2024 at PT. Citic Seram Energy Limited, Seram Non Bula Block, Maluku. The observation results show that the type of separator used is a Horizontal Three Phase Separator with tag codes 03-V-001A and 03-V-001B operating alternately. The separation process is carried out based on differences in fluid density utilizing gravity, supported by internal components such as deflector plates, mist extractors, weirs, and straightening vanes. Separator operation is maintained at an operating pressure of around 55 psig to ensure optimal separation efficiency and work safety. The conclusion of this study indicates that effective separator operation requires stable pressure and temperature control as well as routine maintenance to prevent sediment buildup and maintain product quality.

The problem of urban flooding is a growing issue due to high population density, increasing volumes of plastic waste, and the reduction of water absorption areas. The use of conventional paving blocks, which are impermeable, further exacerbates flooding conditions because they do not allow water to infiltrate into the soil. This study aims to develop an innovative plastic waste-based paving block incorporating rice straw and sugarcane bagasse, along with the integration of phytoremediation concepts as a solution for urban flood mitigation. The method employed was an experimental approach involving the following stages: material preparation, plastic incineration, material mixing, molding, and testing of water absorption capacity and compressive strength. The results showed that paving blocks with a combination of plastic waste, rice straw, and sugarcane bagasse had the highest water absorption rate of 34% and compressive strength of 21 kg/cm², meeting SNI standards. The addition of natural materials containing silica was proven to enhance the material’s porosity and strength. Additionally, the application of phytoremediation using water hyacinth has the potential to improve the quality of water seeping into the soil. Thus, this phytoremediation-based paving block innovation can serve as an effective alternative solution to reduce flood risks while supporting sustainable waste management and environmental stewardship.

Effervescent granules are a pharmaceutical dosage form that offer advantages in terms of ease of use, improved palatability, and rapid solubility in water. This study aimed to formulate and evaluate the physical properties of vitamin C Effervescent granules using the dry granulation method. The main materials used included ascorbic acid as the active substance, citric acid and tartaric acid as acid sources, and sodium bicarbonate as the base source. Evaluation was carried out on organoleptic properties, flow properties, pH, angle of repose, moisture content, density, compressibility index, and dispersion time. The results showed that the granules met the requirements for organoleptic properties, pH (4–5), angle of repose (38.41°), compressibility index (12.3%), and dissolution time (49.62 seconds). However, the flow property (29.11 seconds) and moisture content (6.47%) did not meet the established standards. These findings indicate that the formulated granules met most of the evaluation parameters but still require optimization, particularly in the drying process and flow properties, to obtain a more stable and high-quality dosage form.

Introduction: Additive Manufacturing (AM) has revolutionized the production of complex geometries, offering flexibility, customization, and precision across various industries. However, optimizing multiple process parameters simultaneously to enhance AM performance remains a significant challenge. This study focuses on improving both mechanical properties and surface quality by utilizing multi-objective optimization techniques. Literature Review: The research reviews existing approaches in AM optimization, highlighting the limitations of single-objective optimization and the potential of multi-objective evolutionary algorithms (MOEAs). Previous studies demonstrate the difficulty of balancing competing objectives, such as tensile strength and surface roughness, within AM processes. Materials and Method: This study employs NSGA-II, MOEA/D, and SPEA2 algorithms to optimize AM parameters like layer thickness, build orientation, and infill density. The optimization aims to improve mechanical performance, including tensile strength and impact resistance, while reducing build time and surface roughness. The methodology integrates experimental validation with computational predictions to evaluate the effectiveness of these algorithms. Results and Discussion: The optimization process yielded Pareto-optimal solutions that balanced mechanical strength and surface quality. The results demonstrated improvements in tensile strength and surface finish without significantly increasing build time. Trade-off analysis highlighted the inherent conflicts between mechanical performance and surface quality, allowing for better decision-making in industrial applications. The study contributes to the AM industry by offering a comprehensive optimization framework for improving both efficiency and product quality.

Vannamei shrimp (Litopenaeus vannamei) is one of the most important aquaculture commodities with high economic value and strong market demand. The transportation of broodstock shrimp is a critical stage that may affect survival due to decreased oxygen levels and water quality deterioration. High stocking density during transportation can accelerate oxygen depletion and increase metabolic waste, leading to higher mortality. This study aimed to determine the effect of different packing densities on the survival rate of broodstock shrimp during 12 hours of transportation. The experiment used four treatments with densities of 6, 8, 10, and 12 shrimp per bag, each with six replications. Observed parameters included temperature, dissolved oxygen (DO), and survival rate. The results showed that lower stocking density produced higher survival rates, with the best result obtained at 6 shrimp per bag. Water quality remained within acceptable limits, although oxygen levels decreased with increasing density. Therefore, proper stocking density is essential to maintain shrimp survival during transportation.  

Vaname shrimp (Litopenaeus Vannamei) is one of Indonesia's fishery commodities with high economic value. Vaname shrimp production in Indonesia continues to increase. However, obstacles sometimes arise in cultivation activities, such as the emergence of shrimp diseases and poor water quality. High stocking density and shrimp feeding can cause a decline in water quality. In addition, pond water quality is influenced by pond location and the surrounding environment, such as agriculture, settlements, mangroves, and the sea. This causes ponds to have different water qualities. One of the diseases that often attacks shrimp farming is caused by the bacterium Vibrio sp. The abundance of Vibrio sp. bacteria is closely related to pond water quality and the environmental conditions around the pond. The methods used were TPC testing and multiple linear regression testing. Based on the results of the study, the abundance of Vibrio sp. bacteria in pond A was the highest at 8.3 x 102, and pond C had the lowest at 3.1 x 102. Water quality testing in three different ponds showed safe limits for cultivation, except for nitrite testing. Based on the simple linear regression test, the water quality parameters that significantly affect the abundance of Vibrio sp. bacteria are pH, temperature, and nitrite.  

This study examines the implementation of Indonesia’s Visa on Arrival (VoA) policy in DKI Jakarta as both an instrument of tourism-driven economic recovery and a component of non-military national defense management under Law No. 23 of 2019 on the Management of National Resources for National Defense. While VoA has significantly contributed to the rebound of international tourist arrivals—surpassing 11 million visits nationally in 2023—it simultaneously generates governance challenges at strategic entry points such as Soekarno–Hatta International Airport, where facilitation of mobility intersects with risks including overstaying, transnational crime, human trafficking, and potential infiltration by non-state actors. Existing scholarship largely emphasizes economic impacts and regulatory frameworks, leaving limited analysis of VoA as part of an integrated civil defense infrastructure. Addressing this gap, the study aims to analyze how VoA implementation in DKI Jakarta is managed within a non-military defense perspective, particularly regarding institutional coordination, immigration intelligence, and risk mitigation mechanisms. Employing a qualitative case study approach, data were collected through in-depth interviews with immigration officials and security stakeholders, document analysis of relevant laws and ministerial regulations, and review of official immigration statistics, followed by thematic analysis. The findings indicate that although VoA effectively supports economic and diplomatic objectives, its function as a non-military defense instrument remains constrained by fragmented inter-agency coordination, uneven intelligence integration, and limited adaptive governance capacity at the local level. Strengthening collaborative surveillance systems, data-sharing mechanisms, and strategic policy alignment between immigration authorities and national defense institutions is therefore essential. The study concludes that reframing immigration governance as part of Indonesia’s broader non-military defense strategy is crucial to balancing openness with security in high-density international gateways.