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Building fires can significantly degrade the strength and integrity of steel structures, so post-incident evaluation is crucial to ensure building safety and feasibility. This study aims to evaluate the condition of the steel tower structure after the fire through a visual inspection method. A total of 35 structural elements were examined, including columns, beams, and bracing, to identify damage caused by heat exposure. The inspection results showed that 6 elements (17%) were in the category of Acceptable, 8 elements (23%) Needs Attention, 5 elements (14%) Not Acceptable, and 1 element (3%) Not Applicable because they had been removed. Steel columns generally remain upright without deformation, but suffer damage to the protective layer (coating). In contrast, most blocks lose their protective layers, are directly exposed to fire, show early signs of corrosion, and some suffer severe damage such as flange tears and cuts. These findings confirm the importance of systematic documentation and classification of element conditions as the basis for technical decision-making for structural improvement. Visual inspection proved effective as an initial step in the evaluation process, providing a relevant initial picture of the extent of damage and the need for intervention. This study recommends follow-up in the form of advanced structural analysis and material testing to ensure the feasibility of reusing the affected steel elements.

Sustainable water resource management is a crucial issue, especially in horticultural agricultural areas such as Berastagi, Karo Regency, North Sumatra. This area is known for its abundant water resources, but the challenge in optimizing water distribution and quality is still a problem. This study aims to analyze the level of community participation in water resource management in Berastagi and to develop a sustainable management strategy using the SWOT approach. The method used in this study is a SWOT analysis that considers strengths, weaknesses, opportunities, and threats in water management. The results show that community participation in technical aspects is quite high, but still low in terms of planning and evaluation. The main strength factors are abundant water resources and support from the farming community, while weaknesses lie in limited infrastructure and water pollution from agricultural activities. The main opportunities for sustainable water management include irrigation modernization and increased government regulation, while the main threats are the impacts of climate change and the use of chemicals in agriculture that have the potential to pollute water. From this SWOT analysis, it is recommended to develop technology-based irrigation infrastructure, increase socialization and community education to increase involvement in water management, and collaboration between the government, community, and research institutions. It is expected that this strategy can strengthen sustainable and adaptive water resource management in the Berastagi horticultural area.

Natural disasters such as earthquakes, hurricanes, and floods pose significant risks to critical infrastructure. AI-driven disaster response systems provide real-time analytics, predictive modeling, and automated response strategies to mitigate damage and improve recovery efforts. This paper explores how AI-powered drones, satellite imagery, and sensor networks enhance disaster monitoring and decision-making. Additionally, the study discusses the role of AI in optimizing emergency resource allocation and predicting infrastructure vulnerabilities. Through an analysis of past disaster management strategies, this research aims to propose AI-integrated frameworks that enhance disaster preparedness and resilience.

Wood is a superior choice as the main material for forming the structure of a construction system. Its unique characteristics and the fact that it can withstand gravity and lateral forces make it the first choice as a material for construction models. Landa', which functions as a rice storage house, has a unique construction system with the use of natural materials. The research was conducted by exploring how the construction system of landa' is formed from materials and materials using qualitative methods with a descriptive way of presentation. The results of the study concluded that the construction system of landa' uses a unique method by placing each part above the other to form a single unit of the landa' building, the column (pessajo) is bound by the beam (tolohna) and the addition of beams (parende) which will support the body of the landa', the body part is composed of walls (rinding) and fastened with a locking system tallu boko' and sa'pi’ which will support the roof (dea).

Pakistan is a developing country. Its transportation infrastructure mainly consists of road network. About 95% passengers and fright is transported using the road network. This high demand on road network is because of the unreliable railway system between the cities. Due to such high demand on road network the accident involvement risk of an individual is much high as compared to developed countries. This study uses a new modeling approach to estimate road safety risk for WTP.  A correlated random parameters Tobit model (heterogeneity-in-mean) is integrated with machine learning (Decision tree).  The decision tree categorizes higher-order interactions, while the model captures unobserved correlations and heterogeneity. The framework examines WTP determinants using a representative sample of 3178 road users from Pakistan. The model estimates WTP for different (fatal and severe injury) risk reductions to monetize road traffic crash costs. Results show maximum respondents are willing to support safety improvement policies. The model reveals significant WTP heterogeneity linked to perceptions of road safety and accident risk. Systematic preference heterogeneity emerges through higher-order interactions, offering insights into WTP relationships. Marginal effects highlight varying sensitivities to explanatory variables, quantifying their impact on WTP probability and magnitude. The framework provides two key contributions. It identifies public WTP determinants, emphasizing heterogeneous effects. It also helps in prioritization safety policies by understanding public sensitivity to WTP. The insights further emphasizing on the importance of road safety interventions to the specific socio-economic profiles of road users. This study offers a significant contribution to road safety improvement by providing valuable recommendations for policy makers. By integrating detailed socio-economic factors, it also addresses the urgent need for targeted traffic safety interventions in Pakistan. These findings are expected to aid policymakers and stakeholders in developing effective strategies to enhance road safety and reduce the accident involvement risk effectively.

Indonesia is an archipelagic country that has abundant mineral wealth, both metal minerals and other minerals. Metal minerals, including gold, tend to have a higher economic value. Based on data from the Ministry of Energy and Mineral Resources, the world's gold reserves in 2020 were 50,300 tons of Au. Indonesia is among the 5 largest in the world with 5% of the total gold reserves, which is 2,600 tons of Au. Therefore, it is necessary to develop technology and science in the mining industry, especially gold and silver, to improve the optimization of the process and increase the added value of the mining products themselves. One of the gold extraction processes can be done hydrometallurgically with the cyanidation method using a intensive leach test. The results of this experiment show that factors such as cyanide usage and ultra fine particle size will greatly affect the recovery of gold and silver metals.

Gold (Au) as a precious metal has played significant role throughout human history. Most gold ores subjected to leaching using the sodium cyanide (NaCN) contain high levels of base metals. High base metal content can influence the recovery of pregnant leach solution (PLS), as it affects the consumption of sodium cyanide (NaCN) and lime used to optimize the gold ore leaching process. Pre treatment leaching process is required for gold ores before the leaching process is carried out. In this study, a pre treatment leaching process was carried out using the Aachen High Shear and Filblast Low Shear Reactors with variations in feed solids percentage for each reactor, utilizing NaCN concentrations of 1000 ppm for the Aachen with bottle roll test (BRT) and 500 ppm for the Filblast with agitations leach test (ALT). Based on this study, each pre-treatment leaching reactor, the extraction percentages were 54.30% Au, 63,40%  Ag for the Aachen and 52.19% Au and 68,10% Ag at Filblast. Lime consumption in the Aachen was highest at 3.47 kg/t (PreOx 3 and AAL), while in Filblast at 1.71 kg/t. Meanwhile, NaCN consumption in the Aachen was highest at 0.64 kg/t (PreOx 2), compared to 0.80 kg/t in Filblast.

This study aims to analyze the maintenance strategy of railway lines in West Sumatra using the Life Cycle Cost (LCC) approach to determine the most economically efficient and sustainable maintenance option. The main issues raised are the high cost of reactive maintenance and the risk of operational disruption due to track damage. The research method involved collecting construction, operational, and maintenance cost data from railway operators, as well as LCC-based scenario simulations to compare preventive and reactive maintenance strategies. The results of the analysis show that the preventive maintenance strategy results in lower total life cycle costs, compared to the reactive strategy. In addition, the preventive strategy also supports operational sustainability by minimizing the risk of service disruption and improving user safety. SWOT analysis shows that LCC implementation has great potential to improve budget efficiency and support local economic growth, although challenges such as data limitations and natural disaster risks need to be mitigated. This research concludes that an LCC-based approach can be the basis for designing more effective, efficient and sustainable railway maintenance policies. Recommendations include prioritizing preventive maintenance, using monitoring technology, and strengthening supporting policies.

This study aims to reprocess middlings from the mineral processing process carried out at PT Timah Tbk which still contains cassiterite minerals using a three disc magnetic separator tool with variations in electric current strength and distance between the height of the magnet and the belt. Sn content will be analyzed using XRF. Variations in the strength of the electric current used are ranging from 0.3 A to 1.3 A which will be divided into 3 variations and variations in the height distance of the magnet with the belt used, namely 0.7, 1 and 1.3 cm. This research was carried out 9 times of testing which will be sought for the optimum level and recovery produced. The results showed the distribution of tin distribution in each size fraction. In addition, the Sn content and Sn recovery produced also varied for each test variation. The highest Sn content (%), 27.1%, was obtained in the test with the highest electric current strength variation and the smallest magnet height distance. Meanwhile, the highest recovery of 85.12% was obtained in the test with the smallest electric current strength and the largest magnetic height distance. Based on the results of the study, the higher the electric current strength used, the higher the Sn content obtained, but the lower the Sn recovery obtained. Meanwhile, the higher the height distance of the magnet with the belt used, the lower the Sn content obtained but the higher the Sn recovery obtained. As well as for the optimum levels and recovery obtained in research using strong electric current and the height distance of the magnet with a medium belt with Sn content of 12.2% and Sn recovery of 54.67%.

The digital era in the industrial revolution 4.0 has brought significant changes in various aspects of life, including education. With the presence of increasingly sophisticated digital technology and the widespread use of Artificial Intelligence (AI), the education system is currently faced with new challenges to adapt to the times. However, the emergence of AI also has a negative impact on education, especially in the context of Technology and Vocational Education, namely increasing plagiarism, excessive dependence, lack of skill development, and weakening of culture, norms, and interactions between students and lecturers. This study aims to analyze the moral and ethical role in the use of AI in Technology and Vocational Education. The literature review research method is used in this study with a qualitative approach. Secondary data collection was carried out with the help of Google Scholar web technology and the bibliometric processing application VOSViewer. The data analysis technique applies the Miles & Hubberman model which consists of: data collection, data reduction, data presentation, and conclusion drawn. The results of the study show that morals and ethics play a central role in the utilization of artificial intelligence (AI) in Technology and Vocational Education in the digital era of the Industrial Revolution 4.0. The study also recommends strategic steps to ensure the use of AI in Technology and Vocational Education remains ethical and effective.

Natural disasters such as earthquakes, hurricanes, and floods pose significant risks to critical infrastructure. AI-driven disaster response systems provide real-time analytics, predictive modeling, and automated response strategies to mitigate damage and improve recovery efforts. This paper explores how AI-powered drones, satellite imagery, and sensor networks enhance disaster monitoring and decision-making. Additionally, the study discusses the role of AI in optimizing emergency resource allocation and predicting infrastructure vulnerabilities. Through an analysis of past disaster management strategies, this research aims to propose AI-integrated frameworks that enhance disaster preparedness and resilience.

Bio-inspired engineering is a rapidly growing field that applies principles found in nature to develop innovative solutions in structural engineering, materials science, and robotics. This paper explores biomimicry in various disciplines, such as self-cleaning surfaces inspired by lotus leaves, energy-efficient building designs modeled after termite mounds, and ultra-lightweight yet durable materials inspired by spider silk. The study highlights the role of computational modeling in replicating biological structures and discusses the challenges of translating natural efficiencies into engineered systems. Additionally, this research examines the environmental impact of bio-inspired materials and their potential to replace conventional, resource-intensive materials in industries such as construction, aerospace, and biomedical engineering.

The largest source of energy currently utilized is still predominantly from fossils. Fossil energy sources are non-renewable so over time they will run out. So it is necessary to utilize renewable energy sources. One renewable energy source that is environmentally friendly and easy to obtain is wind energy. Wind is a collection of air that is experiencing movement due to a difference in pressure on the earth's surface. Wind will move from areas of high pressure to areas of lower pressure. Experimental research on wind energy is a useful energy that can be put to good use. Wind energy is a form of energy that comes from utilizing air flow in the atmosphere to produce mechanical or electrical energy. The main technology used to utilize wind energy is a wind turbine, which converts wind kinetic energy into electrical energy through a generator. Which of course also requires sufficient wind speed so that the wind turbine can rotate and produce mechanical movement in the form of rotational torque which can then be converted into electrical energy. Wind energy has great potential as a clean, sustainable and environmentally friendly resource, as it does not produce greenhouse gas emissions or hazardous waste during its operation. However, wind energy development faces challenges such as fluctuations in wind speed, large land requirements, visual impacts, and potential disruption to local ecosystems. With technological innovation and careful planning, wind energy can be a significant solution to meet global energy needs in a sustainable manner.

The rapid advancement of technology has led to an increasing demand for electrical energy. One of the efforts to meet this demand is the development of micro-capacity power generation systems utilizing heat energy. Heat energy can be harnessed using thermoelectric elements. This study aims to design and develop a portable power generation system that utilizes solar heat as an energy source. The prototype uses six TEC 1-12706 thermoelectric modules to generate electricity designed specifically to recharge devices such as phones, power banks, and flashlights. Solar heat is concentrated on the thermoelectric modules using Fresnel lenses, while heatsinks are employed for cooling. The thermoelectric modules are connected in series to produce sufficient voltage, which is then boosted by a boost converter. The generated electrical energy is stored in a battery to ensure voltage stability despite temperature fluctuations. This device can also operate at night due to the energy stored in the battery. Test results show that the average output voltage without load ranges from 9.49V to 9.56V, with an average temperature of 45.2°C at the thermoelectric modules. In load tests, the device successfully charged a Pixel 5 phone (5000 mAh battery) from 4% to 70% in 95 minutes. These results demonstrate the potential of this system as a reliable and environmentally friendly portable energy solution.

This research aims to design an Aircraft Jacking control system for the Boeing 737-800 to automatically balance the aircraft's inclination using an MPU6050 sensor and servo actuators. The system can detect pitch and roll angles with an accuracy of ±0.5° and an average response time of 150 ms. Based on tests using five datasets, the balancing time ranges from 400 to 600 ms, depending on the initial imbalance. In Dataset 5, with a pitch of 3.5° and a roll of -2.3°, the system required 600 ms to achieve balance, demonstrating its ability to handle critical conditions. The servo actuators successfully adjusted the jacking height within a range of 2 cm with a precision of ±0.02 cm, while the OLED-based monitoring system allowed operators to observe the inclination angles in real-time. Furthermore, ESP-NOW-based communication achieved a data transmission success rate of 98%, supporting efficient centralized control. This research demonstrates the system's effectiveness in balancing the aircraft quickly and accurately, providing a foundation for further development under extreme conditions and energy efficiency improvements.

Wind Turbine Blades are one of the renewable energy sources that are the main solution to reduce excessive use of conventional fuels. Wind Turbine Blades absorb kinetic energy into mechanical energy which is then converted into electrical energy by the generator. This study uses the National Advisory Committee for Aeronautics (NACA) 1.2 horizontal axis wind turbine blade design with a taper type (having a wide base and a small tip). The initial wind turbine blade data was obtained rotating at a wind speed of 3.5 m/s with a voltage of 5.1 Volts. This blade design was carried out using maximum wind speed data of 9.5 m/s and minimum wind speed data of 3.6 m/s, then current and voltage data were obtained. The results of this study confirm that the design of this wind turbine blade affects the efficiency of converting wind energy into electricity. This taper type wind turbine blade is designed to produce optimal performance in a certain wind speed range.

The building to be utilized should undergo regular inspections and performance testing to determine whether it can function and operate according to its intended use. Compliance with administrative and technical regulations governing the utilization of buildings is demonstrated through the issuance of a Building Worthiness Certificate (SLF). This study aims to assess the compatibility of the building's function with the conditions during the planning phase and evaluate the structural feasibility of the building. It also seeks to implement the provisions of Government Regulation No. 16 of 2021 regarding the Implementation of Law No. 28 of 2002 on Buildings. Based on the research conducted, it can be concluded that the structural suitability of the MSC Indosat Baturaden building has changed compared to the planned building. Initially designed as a battery storage building, it is currently used as an MSC building or a facility for storing batteries and servers. Additionally, there are discrepancies in the area specified in the original Building Permit (IMB) compared to the current building. Further analysis of the building's structure and the application of current regulations regarding structural serviceability, including dynamic load analysis (earthquake), inter-story drift analysis, P-Delta analysis, and structural cross-section checks, concluded that the building is safe as it meets the requirements specified in SNI 1726:2019 and SNI 2847:2019. The highest structural cross-section capacity ratio was 0.2 < 1, and the inter-story drift value was 0.023 < 0.07. The existing concrete material meets the structural standards, with a characteristic compressive strength of 28.98 MPa. The results of the rebar scan detector test showed that the type of reinforcement used complies with the standards specified during the planning phase, referring to SNI 07–0408–1989. Overall, the structural analysis results for the MSC Indosat Baturaden building indicate that the building is safe and remains fit for use.    

The construction industry in Indonesia is growing rapidly, playing a crucial role in the country's economic, political, and social development. However, alongside this rapid growth, issues such as project delays are inevitable. The construction project of the Indonesian Maritime Polytechnic, for instance, has experienced significant delays, which can lead to increased costs, waste of human resources, and disputes among the involved parties. Understanding the primary causes of these delays is essential for developing effective strategies to avoid future delays. This analysis uses both qualitative and quantitative methods to identify the root causes of delays. Data was collected through surveys of respondents involved in the project, including project managers, field staff, and consultants. The analyzed causes of delays include insufficient funding, increases in raw material costs, additional costs, contract document errors, poor communication, and slow decision-making. To minimize delays and their impacts, several recommendations can be made: effective strategic planning, improved communication, increased staff, accurate initial cost estimates, and good management. By implementing these recommendations, the Indonesian Maritime Polytechnic construction project can be completed more effectively and efficiently, and future delays can be avoided.

This article discusses the issue of poverty in Kalimantan Island, Indonesia, with a focus on the analysis of poverty data from 2019 to 2024. Despite Kalimantan's wealth of natural resources, economic disparities and uneven distribution remain significant challenges. This research uses data from the Central Statistics Agency (Badan Pusat Statistik) to demonstrate the impact of the COVID-19 pandemic, which caused an increase in the number of people living in poverty due to income reductions and job losses. By utilizing Microsoft Excel, data visualization is employed to present information clearly and concisely, making it easier to understand the poverty situation in the region. The findings of this research recommend that poverty alleviation policies be more focused and data-driven, and encourage further research to understand the factors influencing poverty. It is hoped that this article will provide valuable insights for the development of policies and poverty alleviation efforts in Indonesia, particularly in Kalimantan Island.

In the era of globalization, technology increases efficiency in various human activities, including plant cultivation. Chili plants require special care, especially in meeting water needs according to ideal soil moisture, which is 30% -50% for chili. Conventional monitoring methods are inefficient because they require a lot of time and energy. A new breakthrough is needed to continuously monitor temperature, air humidity, and soil moisture. The designed tool will be placed in Cipadung Village to monitor soil moisture in chili plants, which require soil moisture that is not too high. This tool facilitates monitoring through the application, allowing automatic and manual watering. Soil moisture stability is also important for tomatoes, so watering can be regulated through the application display. This tool is useful for monitoring soil moisture levels effectively, supporting plant care with stable soil moisture needs, and facilitating the watering process through the application.