This study presents an evaluation of the cooling load capacity in the departure apron corridor area at Supadio International Airport using the Cooling Load Temperature Difference (CLTD) method. The objective of the research is to assess whether the current air conditioning (AC) is adequate to meet thermal comfort requirements in a tropical climate characterized by high humidity and strong solar radiation. A detailed field survey was conducted at Gate 3, a glass-dominated corridor that experiences significant heat gain from solar exposure. Empirical data including temperature profiles, material properties, occupancy levels, and equipment specifications were collected over a two-week period using digital instruments. Using the CLTD method, the heat contributions from walls, roof, glass surfaces, occupants, lighting, and air infiltration were quantified. The results revealed that the installed AC (2 PK) only delivers about  of the required cooling load, with the total load estimated at 66,448 BTU/hr. The dominant sources of thermal gain include the roof and east-facing glass panels. The study recommends AC resizing, glass shading implementation, and improved insulation to enhance energy efficiency. This research contributes practical insights for HVAC optimization in airport infrastructure within hot-humid climates.

This study identifies and validates critical risk factors in storage tank construction projects through a Systematic Literature Review (SLR) and expert judgment using Aiken’s V method. Initially, 103 journal articles were screened, with 43 selected for in-depth analysis, revealing 33 causal factors and six key risk categories. A Focus Group Discussion (FGD) involving industry professionals (project managers, QA personnel, safety officers) enriched the findings by incorporating practical insights missing in academic literature. Eight experts then evaluated these factors using Aiken’s V, validating 13 causal factors and four risk factors as highly significant. Key causal factors included Structure Design, Material Delivery, and Foundation Design, while major risk factors were financial loss, non-compliance, workplace accidents, and poor-quality outcomes. The study establishes a structured risk model for storage tank projects, supporting future quantitative risk analysis and mitigation strategies.

Indonesia is a developing country located at the convergence of four tectonic plates, making it highly prone to natural disasters such as earthquakes, tsunamis, landslides, and volcanic eruptions. These frequent disasters highlight the critical need for reliable electricity during emergencies. However, disaster-affected areas often struggle to restore power due to accessibility issues. To address this, alternative energy sources are needed, and Solar Power Plants (PLTS) offer a practical solution. PLTS are easy to implement, depend only on sunlight, and provide clean energy with low carbon emissions. Under clear skies, solar radiation can reach 1,000 Watts per square meter, making it a powerful energy source. Additionally, PLTS systems are adaptable and can be deployed in various formats, including mobile units. This study focuses on designing a Mobile PLTS to support BASARNAS operations in disaster zones. Data collection was conducted using resources from BNPB, BMKG, BASARNAS, and NASA. The analysis includes the geographical characteristics of the site, solar radiation intensity, and the operational dimensions of the BASARNAS Mobile Truck. The study aims to determine the suitable system specifications and estimate the energy production capacity of the Mobile PLTS. The proposed design features 20 solar panels, each with a capacity of 300 Wp, producing an average of 27.70 kWh per day. It also includes 16 batteries for energy storage. The remaining space in the truck can be used for transporting logistics or essential tools, making it a multifunctional unit ideal for disaster response scenarios.

Candikusuma Beach in Bali has experienced significant erosion since 2009, threatening public facilities, including a mosque in Candikusuma village. This issue is critical as it affects a coastal fishing community. To mitigate the erosion, a revetment structure using concrete block armor is proposed. This revetment aims to protect the coastal cliff from wave forces and prevent further erosion. The planning process begins with analyzing bathymetric and topographic data to assess land and sea conditions. Tidal analysis determines key water elevations, while wind data is used to calculate maximum and average wind speeds and directions. Wave hindcasting, based on wind data and effective fetch length, provides estimates of wave height and period. Shoreline changes are evaluated by comparing satellite imagery from 2003 and bathymetric surveys from 2012, revealing an average shoreline retreat of 21.70 meters over nine years. The design of the revetment includes a crest elevation of +3.70 meters MSL, constructed on a base at -0.5 meters MSL. The concrete foundation extends to a depth of -1.5 meters MSL. Hindcasting results show maximum wave heights of 1.21 to 1.50 meters from the southwest, with an average wave height of 0.01 to 0.30 meters from the south. The design wave height for a 25-year return period is 1.37 meters with a period of 4.58 seconds, resulting in a wave height of 1.31 meters at a depth of 2 meters. The estimated budget for the 200-meter-long revetment is Rp. 7,778,174,000.

Nowadays, the number of cyber terrorists that using Internet as a medium keep increasing around the world are really worrying. Even though the cyber terrorist is publishing their post openly and public, there are quite difficult to recognize their main communication media. This happen because the cyber terrorist might hide their agenda through any sympathetic base website. Therefore, the aim of this project is to formulate tracing and linking algorithm using data mining technique in order to identify the relationship between each cyber terrorism components that may result to cyber terrorism website.
 
 
 

This study investigates the solutions of electrical current in linear circuit systems using two numerical methods implemented in MATLAB: the Matrix Inverse Method and the Gauss-Jordan Elimination Method. The objective is to analyze the effectiveness, accuracy, and computational efficiency of both techniques in solving systems of linear equations derived from Kirchhoff's laws. Several circuit models with varying levels of complexity are tested to compare results obtained from each method. The findings indicate that both methods yield consistent solutions, although differences in computational steps and processing time are observed. This research highlights the practicality of MATLAB as a powerful tool for electrical circuit analysis and provides insights into the selection of appropriate numerical methods for solving engineering problems.

The increasing complexity of naval electrical systems and the demand for higher operational reliability necessitate a shift from traditional maintenance methods to data-driven predictive maintenance solutions. This research examines the effectiveness of IoT-based remote monitoring and diagnostic systems in improving system reliability, cost-efficiency, and operational sustainability in naval engineering. A qualitative-empirical approach was applied, utilizing expert interviews, structured surveys, and field observations to assess the impact of IoT-driven predictive maintenance. The findings indicate a significant reduction in system failures (92/100), maintenance costs (89/100), and operational downtime, demonstrating the effectiveness of real-time fault detection and automated diagnostics. Additionally, the study identifies challenges in infrastructure readiness (78/100) and cybersecurity concerns (82/100), which must be addressed for large-scale implementation. While the adoption rate (88/100) reflects strong industry support, skill readiness gaps (80/100) suggest a need for enhanced technical training in maritime education. The research concludes that IoT-based predictive maintenance offers a transformative approach to naval maintenance strategies, ensuring sustainability, efficiency, and enhanced fleet readiness in modern maritime operations.

The increasing population triggers a demand for land for housing and other activities. Along with this, issues arise regarding the limited availability of land, especially in rapidly developed areas. This limitation has the potential to create an imbalance between the growing need for space and the existing land capacity. This study evaluates the land carrying capacity in four sub-districts in the southern part of Medan City, namely Medan Tuntungan, Medan Johor, Medan Amplas, and Medan Denai, in dealing with the continuously growing population. Using a spatial analysis approach with ArcGIS 10.8 software and detailed spatial data, this research identifies potential areas for residential development and projects the capacity of land to accommodate future populations. The analysis covers physical and environmental aspects such as land slope, soil type, natural disaster risks, and access to public facilities. The results show that each sub-district has different potentials and challenges. Medan Tuntungan, with its large area and flat land conditions, shows significant potential for residential development, although attention must be given to the existence of protected areas and agricultural land that must be preserved. Medan Johor, as an economic center, faces substantial pressure on land use, with some areas nearing their maximum capacity. Medan Amplas and Medan Denai, which are more urban, experience stricter land limitations. Population growth projections indicate a significant increase in land demand in some sub-districts in the coming decades. Without effective management, this has the potential to exert high pressure on the environment and urban infrastructure. This research emphasizes the importance of spatial planning and sustainable development policies to maintain a balance between housing needs and environmental conservation.

This study examines the performance of a total of ten reinforced concrete T-beams, nine of which were made as hybrid beams by casting the web with LW concrete and the flange with HS concrete; the last beam was cast as a normal beam (entirely cast with HS concrete). All beams underwent testing under two-point loads following a 28-day period. The variables of the experimental program include the concrete grade within the web (46, 62, and 82 MPa) and stirrup distribution distances (100, 200, and 300 mm). The experimental program includes load-deflection curves and failure modes for hybrid and normal beams. The results showed that all the beams failed in shear-flexural mode. Also, increasing flange compressive strength increased shear. strength. Increasing stirrup distribution distance from 100 to 200 and 300 mm reduced the ultimate load capacity; specimens with stirrup spacing of 300 mm failed directly after yielding of steel due to crushing the concrete over the support and spalling concrete cover within the shear zone. The study also determined that reducing stirrup spacing to 100 mm did not alter the failure mode, as shear failure was dictated by the compressive strength of the lower layer of the hybrid beams (19 MPa compressive strength of LW concrete).

Concrete is an important aspect of building construction, one of which is road construction. Concrete is used for road construction because it has the advantages of high compressive strength, easy maintenance, ease of formation, and easy to obtain components. Road construction using concrete is applied to the reconstruction of the Kebumen South Ring Road, where the Kebumen South Ring Road is a 9.07 km long national road. National roads are arterial and collector roads in the primary road network system that connect provincial capitals, national strategic roads, and toll roads. Therefore, construction on national roads requires strong and good materials on the Kebumen South Ring Road to optimize road use. In this study, the concrete is composed of Bima cement as Portland cement, coarse aggregate from Kebumen, fine aggregate from the Progo River, and water from drilled wells. The admixture was obtained from a Conmix HK 2. Subsequently, all ingredients were mixed using a mixer truck. The concrete mixture was molded into cylinders and blocks. In this study, the average results of the 5-day concrete compressive strength test were obtainedwhich is 373.42 kg/cm2 and 28-day-old concrete is 442.32 kg/cm2. The average result of the 5-day concrete flexural test is50.65 kg/cm2 and that of 28-day-old concrete was 60.73 kg/cm2. The results are in accordance with the general specifications of the Bina Marga, namely, 45 kg.

The aim of this research is to analyze the feasibility of investing in North Surabaya Hospital, Bulak District, Surabaya City with the parameters Net Present Value, Internal Rate of Return, Benefit Cost Ratio (BCR) and Payback Period. This research focuses on the North Surabaya Hospital which was built by the Surabaya City Government Health Service with a budget for 2026. The research instruments used were interview guidelines and observation sheets, with data collection procedures via location with related parties in the construction of the hospital, site observation, as well as documentation that includes primary and secondary data. Based on investment analysis of North Surabaya Hospital and evaluation of sensitivity to operational costs and potential income, the conclusion obtained is: Alternative 1 is feasible because it produces an NPV value of Rp. 211,014,227,005, IRR of 9.85%, BCR of 1.23 and PP of 7.69 years, but will be sensitive to the point that it is not feasible if there is an increase in hospital operational costs above 2.05% or a decrease in hospital service levy rates above 1.39% . Alternative 2 is not feasible because it produces an NPV value of Rp. 28,416,192,984, IRR of 6.57%, BCR of 1.14 and PP of 8.34 years, but it will be sensitive and feasible if there is a decrease in hospital operational costs above 7.73% or an increase in hospital service levy rates above 5.59%. Alternative 3 is not feasible because it produces an NPV value of Rp. 66,444,241,124, IRR of 7.30%, BCR of 1.16 and PP of 8.20 years, but it will be sensitive and feasible if there is a decrease in hospital operational costs above 5.7% or an increase in hospital service levy rates above 4.08%. Alternative 4 is feasible because it produces an NPV value of Rp. 166,294,504,181, IRR of 9.26%, BCR of 1.20 and PP of 7.70 years, but it will be sensitive to the point of being unfeasible if there is an increase in hospital operational costs above 0.15% or a decrease in hospital service levy rates above 0.10%.

Objective: analyze the modulation scheme that can intelligently select the appropriate modulation model for service conditions to obtain a high Signal to Noise Ratio, as well as throughput efficiency on wireless networks through the DNN approach. Method: this study uses simulations with the Python language, through AI-Driven on BPSK, QPSK, 16-QAM, and 64-QAM modulation, to determine the SNR and Quality of Service (QoS) produced, both through conventional approaches and Deep Neuro Network (DNN). Researh Finding: AI-Driven modulation used for Cognitive Cellular Networks (CCN), through Deep Neuro Network designed to intelligently classify and select the appropriate modulation model to be applied, shows significant improvement in throughput efficiency, QoS and has the ability to adapt to the environment in dynamic networks. Conclussion: AI-Driven using Deep Neuro Network is able to dynamically adapt to determine the selected modulation model, according to the user's environmental conditions, increase spectrum efficiency and throughput, and increase SNR which can automatically increase the efficiency of network usage.

This research focuses on the Study of Public Green Open Space in Lima Puluh District, Batu Bara Regency with the Remote Sensing Method. This research is included in the type of practical research. Qualitative research method is a research method based on the philosophy of post positivism, used to research on natural object conditions, Data analysis is the process of systematically searching for and compiling data obtained from the results of interviews, field notes, and documentation. Data Reduction Analysis Method, Data Presentation and Drawing Conclusions. The results of the research Green open space are an essential element of a city, in creating city development is required to be environmentally friendly. Environmentally friendly development is mandatory, as a fulfillment of sustainability principles. The natural resources that are owned today must also be felt by future generations. Being in a tropical climate makes Indonesia have abundant natural resources. This is a good thing for the Indonesian state. Many countries are experiencing a natural resource crisis, Indonesia can increase foreign exchange by trading natural resources products to other countries.

This study aims to analyze the development of the Bukit Lawang tourism area. The research employs descriptive and qualitative data analysis, focusing on a problem-solving approach that is based on descriptions rather than numerical data. The purpose of using a qualitative research method is to facilitate a better understanding of information from the sources used as data, providing an effective comprehension of the ecotourism development strategy being studied. The qualitative analysis involves data collection through interviews, observations, documentation, and other methods. The research findings indicate that income from the development of the Bukit Lawang tourism sector has not significantly impacted the local revenue (PAD) of Langkat Regency as a whole. This is because Bukit Lawang tourism has not been fully implemented and managed effectively by the government. Tourism and conservation activities in Bukit Lawang have yet to be supported by proper tourism area planning, which is essential for sustainable tourism. The land division by the government is currently limited to conservation areas, plantations, and community-owned lands. Sustainable tourism land use planning would make Bukit Lawang a more responsive area. Achieving a sustainable tourism area in Bukit Lawang requires the involvement of both the government and local communities.

Delays in project implementation are caused by a lack of good control so that it affects the cost and completion time. The purpose of the study is to determine or predict how much a project will cost at the time of implementation and to determine the effectiveness of project control using the Earned Value Method. Aspects of project implementation time in weeks 2,4,5,9,11,13,16,17, 18,20,21,24 are slower than the planned schedule, this is indicated from the Schedule Variant (SV) indicator. While the performance of the project implementation time in week 3,6,7,8,10,12,14,15,19,22 is faster than the plan schedule, this is indicated by the Schedule Variant (SV) is positive. While the cost performance aspects of project implementation from week 6,9,11,13,17,19,22,23 incurred costs greater than the plan cost, this is indicated from the Cost Variant (CV) indicator is negative. Whereas in weeks 7,8,10,12,14,15,16,18,20,21, 24 incurred costs less than the plan cost, this is indicated by a positive Cost Variance (CV) indicator. The calculation results obtained from the effectiveness value of 1.603 for controlling the cost and time of the project using the Earned Value Method. In other words, the results of the effectiveness value greater than 1 (one) can be said to control the construction project of the Situbondo Regency bagor bridge very effectively using the Earned Value method.

This study aims to examine the Analysis of the Development of the Tangkahan Tourism Area. This type of research uses qualitative descriptive research. The data collection techniques in this study are interviews and observations. Data collection is data obtained from research sources that are still raw and have not been processed by researchers Data reduction, data presentation, the process of drawing conclusions involves the researcher interpreting the data that has been displayed. The methods carried out include comparisons, grouping, making patterns, and triangulating. The results of tourism development research are carried out with the aim of making tourism advanced and developing in a better direction in terms of the quality of facilities, facilitating access anywhere, becoming a desired destination, and making good economic benefits for the surrounding community. Tourism planning and development is not a stand-alone system, but is closely related to other development planning systems intra-sectoral and intra-regional. Then the development of tourist destinations requires good and appropriate planning techniques. The development technique must combine several aspects to support the success of tourism. These aspects are accessibility aspects (transportation and marketing channels), characteristics of tourism infrastructure, level of social interaction, linkage/compatibility with other sectors, resilience to tourism impacts, level of resistance of local communities, and so on.

The apple cider vinegar fermentation process requires careful monitoring and control of variables such as pH, alcohol content, and amount of acetic acid.  This research adopts Fuzzy Logic Control by utilizing the MQTT communication protocol, pH, alcohol and water pump sensors, as well as solenoid valves and DC motors as actuators.  This Internet of Things (IoT) based solution provides real-time monitoring information on the fermentation process.  The results showed that the test system succeeded in maintaining a stable pH of around 3.9-4.0 during the initial stages of fermentation, while industrial data showed greater variations.  Alcohol content increased consistently in the test system, in contrast to the spike on day 7 in industry data.  At the formulation stage, the pH dropped to 3.68 in the test system, while the industry maintained 3.70.  At medium and slow mixing stages, the test system showed a significant decrease in pH and a consistent increase in alcohol.  At the harvest stage, the pH was lower in the test system compared to industrial, with slightly higher alcohol content.  Test results show that the implementation of this system can reduce the fermentation process time by up to 2 days faster compared to conventional methods.  This conclusion shows that IoT-based systems are able to provide better control and monitoring than conventional systems, so they have great potential for wider adoption in the apple vinegar fermentation industry to increase production effectiveness.

Semarangan vernacular houses mostly have acceptable thermal performance, primarily related to the roof design and its elements. However, some developments associated with the quality of comfort have already been in progress. We found modifications with an alternative opening in the roof. Testing is needed to determine whether this alteration of a vernacular house with roof modifications is suitable to synchronize to nature and culture for its sustainability. This research aims to assess the quality of the modification for the thermal and energy performance of Semarangan vernacular houses in responding to climate change based on innovation. We utilize an energy audit simulation using the SketchUp software and the Sefaira plugin extension to measure thermal shape and variables. The focused study analyzes the thermal performance of buildings through analysis of the building envelope and building shape from a conceptual model. We discover that vernacular modifications do not reveal any extreme differences. Further research is needed to examine some other types of modifications further. We have to ensure that any modification maintains the quality of the house's performance and even have to increase it.

This paper presents a comparative analysis of various battery management systems (BMS) in electric vehicles, with a focus on incorporating machine learning techniques to improve battery safety and extend battery life. The study evaluates conventional BMS against machine learning-enhanced models in predicting thermal runaway, state of charge (SOC), and state of health (SOH) under diverse operating conditions. Results indicate that machine learning algorithms outperform conventional methods, providing more accurate SOC and SOH estimations, thus enhancing vehicle safety and longevity.

The increasing level of urbanization is in line with the need for housing. Not only that, but also the increase in people's need for a place to live has led to an increase in land prices. The city of Medan is one of the developing cities that many people pay attention to. The development of this city has attracted many people's attention, making young investors and young business people who are part of the community who have a contemporary and instant lifestyle and lifestyle, so that the need for lodging places becomes a priority. And due to the increase in the value of existing land in the city of Medan, lodging buildings that have good land efficiency are needed, such as mid-rise and high-rise buildings. Nowadays, hotels are not just a place to stay anymore for visitors doing business or tourism. But over the times, hotels are currently used to accommodate weddings, meetings, parties, and are often also used as recreational or entertainment facilities for the community. Seeing the small number of four-star hotels in Medan City, especially in Polonia District, is the reason why additional four-star hotel buildings are needed. Therefore, from these problems, the authors feel compelled to play a role in implementing ideas, ideas, and knowledge about four-star hotels, by designing business hotels with four-star facilities using a tropical architectural approach.

Coastal areas have the potential to prosper the surrounding community. The coastline is the boundary line between land and sea level that is dynamic. Changes in the coastline can lead to abrasion and accretion. This study aims to determine changes in the coastline on the Situbondo coast for a period of 10 years by taking Landsat 8 satellite image data processed using ArcGIS 10.7. The method used in this study uses the calculation of the Haversin formula and Euclidean Distance. The results showed that the smallest shoreline change in Situbondo Regency over a period of 10 years occurred in transect 24, precisely in Agel Village, Jangkar District with a shoreline change rate of 1.11 meters. While the largest 10-year shoreline change in Situbondo Regency occurred in transect 25, precisely in Kumbangsari Village, Jangkar District with a shoreline change rate of 106.42 meters.
 
 

Physical fitness is a person's ability to do something or a task well without excessive fatigue and can be useful in developing students' learning and insight. Apart from that, physical fitness is also important in learning, especially in learning PJOK. However, many people consider physical fitness unimportant. The aim of this research is to determine the level of physical fitness of students and the differences in physical fitness levels of vocational science and vocational social science at SMA Hang Tuah 5 Sidoarjo. This research involved class XI F2 and class XI F5. Class XI F2 has 33 students with a ratio of 17 male students and 16 female students. Class XI F5 has 36 students with a ratio of 19 male students and 17 female students. This research applies a non-experimental method with a comparative design using the Independent sample t-test data analysis technique. The TKPN test (Indonesian Student Fitness Test) was used as an instrument for this research. The results obtained from the SPSS application showed a hypothesis test value of 0.15 (p-value > 0.05), indicating that there was no difference in physical fitness. Meanwhile, from the norm results for fitness results in the TKPN test (Indonesian Student Fitness Test) there was a difference in scores of 4.47 for science vocational students in the very good category and 3.78 social science vocational students in the good category.
 
 

The study aimed to find out the prospects of Development integrated farming business of beef cattle and cashew nuts. The study was carried out from March to May 2021. Respondents of the study consisted of beef cattle farmers who also grow cashew nuts. Sample of the location were determined purposively for a reason that not all sub districts are located in Muna regency, only a few out of 22 sub districts in total. Samples of sub districts and villages were selected purposively on a consideration that there were both beef cattle cattle and cashew nuts in the selected sub districts and villages. Samples of cattle breeders were determined with a random sampling, meaning that all breeders had equal opportunities to be selected. Data and the study were obtained by means of direct interviews, which were analyzed by Feasibility Tally Sheet. Based on the research results can be concluded. The research results show that integrated cattle and cashew farming has prospects for development with each rating, namely technical (7), economic (7), social (4), financial (4) and factors management (6) .
 

Manufacturing companies are working hard to maximize the use of their information technology, especially on Enterprise Resource Planning (ERP) systems, in today's sophisticated, competitive, and technology-driven environment. By leveraging a central database and operating in a consistent system environment, ERP systems unify all company activities. This integrated system can combine information from multiple departments to make decision making easier and better suited to the internal and external needs of the business. The choice of an ERP system is an important investment intended to improve the financial, strategic and profitable performance of a company. This study clarifies the key factor of success faced by manufacturing companies while utilizing ERP software.