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Gorontalo Province possesses significant mineral resource potential, particularly gold, silver, and copper, positioning the mining sector as a key driver of regional economic growth. However, a shortage of skilled local labor and the scarcity of vocational educational institutions in the mining field severely hamper human resource development in this sector. This study aims to design a Mining Polytechnic Campus in Gorontalo by applying sustainable architecture principles, encompassing energy efficiency, environmentally friendly materials, sound wastewater management, and user comfort. The research approach involves literature studies, field observations, interviews with relevant stakeholders, and quantitative data analysis regarding resource potential, the number of senior high school students, and educational space requirements. The design results emphasize site arrangement, building mass configuration, utility systems, and interior and exterior spaces that support academic, social, and community activities. The application of sustainable architecture principles is expected to create a campus that not only meets the needs of mining vocational education but also contributes to environmental conservation and sustainable regional development.

Waste management is a major challenge in environmental conservation in Indonesia. One innovative approach that can be implemented is the use of informative waste signs as a visual educational medium for the public. Waste signs are information boards placed in strategic locations to provide knowledge about the types of waste, their environmental impacts, and the decomposition time of various materials. The Community Service Program (KKN) of Padang State University (UNP) has implemented this concept by creating educational boards containing information on waste decomposition time, ranging from waste that decomposes in 50–100 years to waste that does not decompose at all. This article aims to examine the concept, benefits, and effectiveness of waste signs as a community-based environmental education instrument. The methods used include field observation and a qualitative descriptive approach. The results of the study indicate that waste signs can increase public awareness of the importance of proper waste management. Thus, this medium has the potential to be a simple yet effective educational tool in supporting sustainable environmentally friendly behavior.

Tiku Beach in Tanjung Mutiara District, Agam Regency, West Sumatra is a 12.77 km coastal area experiencing continuous shoreline changes due to abrasion and accretion. This study aims to identify and map shoreline changes and calculate the area of abrasion and accretion in 2014, 2019, and 2024 using the Modified Normalized Difference Water Index (MNDWI) method based on Landsat 8 OLI satellite imagery. The MNDWI method utilizes the reflectance difference in the Green band (Band 3) and SWIR band (Band 6) to automatically separate the land-water boundary. Shoreline change analysis was performed using Net Shoreline Movement (NSM) and End Point Rate (EPR) methods through ArcGIS 10.8 software with the Digital Shoreline Analysis System (DSAS) extension. Analysis of 336 transects shows that accretion is more dominant than abrasion along Tiku Beach. The largest accretion was recorded at transect 230 with an NSM value of 71.3 m and an EPR rate of 7.12 m/year, while extreme abrasion occurred at transect 249 with an NSM value of -121.67 m and an EPR rate of -12.15 m/year. The evolution of the shoreline shows that in 2014 the coastline was still relatively stable, then in 2019 mild abrasion occurred in the west along with accretion in the east, and by 2024 this pattern became more pronounced. The results of this study are expected to serve as a scientific basis for decision-making in coastal disaster mitigation planning and sustainable coastal management in Agam Regency.

This research aims to design and develop a simple Dino-themed game based on a microcontroller, with the display using an I2C LCD. The game is inspired by the offline Dino game on Google Chrome, adapted to run on an Arduino Uno microcontroller. The research method used is Research and Development (R&D), consisting of stages such as needs analysis, system design, simulation using Wokwi, hardware assembly, programming, and testing. The system uses push buttons as input and a 16x2 I2C LCD as the output display. The testing results show that the system can respond quickly to user input and display character movement and score updates dynamically on the LCD screen. Although the graphical capability of the LCD is limited, the game runs well and successfully demonstrates the basic concepts of microcontroller programming as well as interactive input-output processing. Further development is recommended to enhance the graphical interface and add features such as sound effects and progressive difficulty levels.

Surabaya is one of the metropolitan cities in Indonesia with significant potential for the development of sports performance and the improvement of public health quality. The advancement of modern sports requires a sport science–based approach that integrates training, health, technology, and research aspects. However, the lack of integrated sport science facilities remains a major challenge. Therefore, proper site selection is a crucial factor in the design of a Sport Science Center. This study aims to formulate appropriate site selection criteria for the design of a Sport Science Center in Surabaya. The research method used is descriptive qualitative, employing literature studies, site observations, and comparative analysis of alternative sites based on predetermined criteria. The results indicate that the main site selection criteria include accessibility, proximity to supporting facilities, compliance with spatial planning regulations, environmental conditions, land area, and future development potential. Based on the analysis, the Middle East Ring Road (MERR) area in Surabaya is considered the most suitable location for the development of a Sport Science Center.

The Regional Public Library of Sidoarjo Regency plays an important role as a public facility in supporting the development of community literacy. Along with population growth and the advancement of the education sector, the library is required to provide spaces that are comfortable, safe, and inclusive for all users. However, existing conditions indicate various architectural problems that potentially hinder the optimal function of the library. This study aims to identify architectural issues at the Regional Public Library of Sidoarjo Regency, including building conditions, spatial layout, user comfort, and the availability of thematic literacy facilities and inclusive spaces. The research method employed observation and literature review. Field observation was conducted to document the actual conditions of the building and library facilities, while the literature review focused on library standards, building regulations, and relevant architectural theories. The results show that although the library building is structurally adequate, the quality of space has not fully met the required standards of comfort, safety, and functionality. The spatial arrangement remains conventional and lacks flexibility, limiting its ability to support diverse literacy activities. In addition, thematic literacy facilities and the application of inclusive design principles are still limited. This study concludes that architectural development efforts are needed, focusing on improving spatial quality, implementing adaptive spatial planning, and providing more diverse and inclusive literacy facilities. The findings are expected to serve as a reference for future development planning of the Regional Public Library of Sidoarjo Regency in order to enhance its role as an educational public space and a community literacy center.

Mine slopes play a crucial role in ensuring the safety and sustainability of mining activities. Continuous mining operations can alter slope conditions, thereby increasing the potential for instability and slope failures. Slope stability is influenced by the balance between resisting forces and driving forces acting on the rock mass. When the resisting forces are smaller than the driving forces, the slope becomes unstable and failure may occur. Therefore, slope stability analysis is essential to prevent landslide hazards, as it directly affects occupational safety, equipment security, other assets, and overall production continuity. These conditions have encouraged PT Insani Bara Perkasa to develop a more accurate and real-time slope monitoring system. The application of radar-based monitoring was initiated using the CHCNAV PS-2000 system. This study aims to analyze the deformation behavior of mine slopes using radar technology. Data acquisition was conducted at Pit K1 Mahakam, PT Insani Bara Perkasa, covering Area 1 South, AR 2 South, AR 3 South, AR 5 South, AR 6 South, AR 7 West, AR 8 West, AR 9 South, AR 13 South, as well as TA-2, TA-3, and TA-6 areas. The study was carried out from November 2025 to December 2026. The analysis results indicate that most monitoring points are in stable conditions, with indications of a progressive phase observed in the AR 6 South area.

Private vehicles are a frequently used mode of transportation because they are considered more practical. However, using private vehicles carries several risks, such as traffic accidents due to drivers losing focus on the road due to other activities, such as making calls on smartphones, drinking, or operating the radio. Approximately 90% of accidents are caused by human error. Convolutional Neural Network (CNN) is a type of neural network commonly used on image data. CNN is often used for image classification due to its high performance and accuracy. Therefore, this study aims to analyze the performance of CNN for the classification of distracted driving activities. The results show that the CNN model is able to effectively classify images of distracted driving activities, with an accuracy of approximately 99% across all datasets and across all input image size variations. Furthermore, the results of this study also show that differences in right-hand and left-hand drive datasets do not significantly affect model accuracy. Variations in input image size also do not significantly affect model accuracy, but do affect the training duration.

The rapid growth of e-commerce in Indonesia, particularly the Shopee platform, has generated a large volume of user reviews on the Google Play Store, which can be analyzed to understand consumer sentiment. This study aims to compare the performance of the Support Vector Machine (SVM) and Random Forest (RF) algorithms in binary sentiment classification (positive and negative) on Shopee reviews, as well as to statistically test the significance of their differences using One-Way ANOVA. A total of 400,498 reviews were collected via web scraping, preprocessed through text normalization, tokenization, and Indonesian language stemming, and then feature-extracted using TF-IDF and Count Vectorizer. Evaluation results show that SVM achieved an accuracy of 91.77%, precision of 91.49%, recall of 91.77%, and F1-Score of 91.56%, while RF achieved an accuracy of 90.07%, precision of 91.68%, recall of 90.07%, and F1-Score of 90.55%. ANOVA confirmed that the performance difference between the two algorithms is statistically significant (p-value = 0.0007) with a large effect size (η² = 0.1815). Therefore, SVM is recommended as a more optimal and consistent algorithm for automated sentiment analysis of Indonesian e-commerce reviews, while also providing a replicable methodological framework for similar future research.

This research investigates intelligent cooling system design for main ship engines operating in tropical waters, integrating advanced machinery engineering with human factors to address thermal management challenges affecting engine performance, reliability, and crew operational effectiveness. Tropical maritime environments impose severe cooling demands through elevated seawater temperatures (28-32°C), high ambient conditions (28-35°C), and accelerated biofouling, reducing conventional cooling system effectiveness by 15-25% while increasing maintenance burdens and operational risks. Through qualitative analysis involving marine engineers, chief engineers with tropical operational experience, cooling system manufacturers, naval architects, automation specialists, and maritime training institutions, this study examines how intelligent cooling systems incorporating variable-speed pumps, adaptive control algorithms, predictive maintenance, and crew-centered interfaces can optimize thermal management while supporting effective human-machine collaboration. Results demonstrate that intelligent systems can reduce cooling energy consumption by 20-35%, improve temperature stability by 50-65%, extend maintenance intervals by 40-80%, and enhance crew situational awareness through intuitive monitoring interfaces, while requiring comprehensive training programs developing technical understanding and operational competencies. Key implementation challenges include control system complexity, sensor reliability in harsh marine environments, integration with existing engine management platforms, crew competency development requirements, and lifecycle cost justification. Findings reveal that successful intelligent cooling system implementation requires holistic sociotechnical approach addressing machinery engineering optimization, automation technology deployment, and human capability development through coordinated design and training strategies. This research contributes to marine engineering literature by providing integrated frameworks for intelligent system design incorporating machinery performance, automation capabilities, and human factors supporting operational excellence in tropical maritime operations.

PT UVW uses jigs in the vacuum metalizing process that require washing, which is currently done manually, resulting in inefficiency and risks to operators, thus, jig washer machine was created in order to reduce the risk for operators and increasing efficiency, which based on horizontal mixer. This study analyses the effect of agitator design on fluid flow patterns in a jig washing machine to obtain an optimal design. Two agitator design alternatives were developed and tested using Computational Fluid Dynamics (CFD) simulations at rotational speeds of 70, 75, and 100 rpm, followed by prototype fabrication and performance testing. Simulation results show that the second design produces a higher fluid velocity (20.4 m/s) and a more turbulent and uniform flow pattern compared to the first design (1.7 m/s). Field tests confirmed that the second design achieves higher washing effectiveness (97.14%) with reduced water consumption and shorter washing time. The optimally designed agitator washing machine increases productivity by six times compared to manual washing and reduces operator exposure to hazardous chemicals. This study recommends the second agitator design for improving washing efficiency and effectiveness.

This study investigates biomass-derived surface engineering of AISI 1020 steel for electromedical applications using galam wood charcoal and chicken bone waste as carburizing media. Surface modification is required to improve the mechanical performance of low-carbon steel, particularly in applications that demand high wear resistance and long-term durability. A pack carburizing approach was applied using various ratios of biomass-derived media at a treatment temperature of 800 °C for 2 hours. Chemical composition was analyzed using Optical Emission Spectroscopy (OES), surface hardness was evaluated using Micro Vickers hardness testing, and microstructural characteristics were observed using optical microscopy. The results show a significant increase in surface carbon content with increasing fractions of chicken bone powder, indicating its effectiveness as a carbon donor and diffusion promoter. The surface hardness increased from approximately 150 HV in the untreated condition to a maximum of about 860 HV in the treated specimen. Microstructural observations revealed the formation of a distinct carburized layer with increasing thickness and uniformity, consistent with enhanced carbon diffusion and surface strengthening. These findings demonstrate that biomass-derived surface engineering provides an effective and sustainable approach for improving the surface properties of low-carbon steel. The proposed method offers strong potential for environmentally friendly manufacturing of durable and reliable electromedical components.

This study aims to examine the impact of tourism activities on environmental sustainability and the culture of the Tengger tribe in Ngadas Village, Poncokusumo District, Malang Regency. Ngadas Village is one of the traditional villages located in the Bromo Tengger Semeru National Park area and is a growing natural and cultural tourist destination. The research method used is a qualitative approach with data collection techniques through observation, in-depth interviews, and documentation studies. The results of the study show that tourism activities have a positive impact in the form of economic improvement for the community and the preservation of several cultural traditions through tourist attractions. However, there are also negative impacts such as environmental degradation due to increased waste volume and land use change, as well as the commercialization of culture, which has the potential to diminish the sacred meaning of the Tengger tribe's traditions. This study recommends the need for sustainable and participatory tourism management, involving the indigenous community in decision-making so that environmental and cultural sustainability is maintained amid the development of the tourism sector.

Water is an essential need for all living things on Earth to support various vital biological processes. Without water, life cannot exist because of its role as a solvent, nutrient transport medium, and temperature regulator. Water in nature does come from various sources such as rivers, lakes, rain, and groundwater, which are not all clear because they are contaminated with particles or other substances, in contrast to mountain springs which are often purer. In this study, a water filtration system was created aimed at making turbid water purify to be suitable for use by assessing the NTU (Nephelometric Turbidity Unit) of turbid water due to suspended particles such as mud or sediment, thus producing clear water suitable for use for household or irrigation purposes. The use of two Siemens S7-1200 PLCs as controllers in the water filtration system is a reliable redundant approach to automate mechanisms such as pump, valve, and NTU sensor settings. PLC 1 is used for the filtration system and PLC 2 is used for the water distribution system. The water distribution process uses a DC pump that runs when it receives input from the water level sensor in the raw water tank and clean water tank. The water filtration process has three main stages: reading the water turbidity level using a turbidity sensor, regulating the water flow rate using a solenoid valve, and filtering the water using filter media. The system's operation can be monitored and controlled through a SCADA system. Both PLCs are connected using an OPC server for communication between the PLC and SCADA. The OPC server sends data from the PLC to the Wonderware InTouch application as the SCADA system. To monitor and control the SCADA system, users must log in to access the system.

This study aims to analyze the relationship between production techniques, selection of textile materials and the level of sustainable fashion implementation in MSMEs in the fashion sector in Indonesia. The method used in this study is a quantitative approach with an expplanatory descriptive design. Data was collected through a questionnaire distributed to MSME respondents in the fashion sector and collected 100 respondents. The variables tested in this study are knowledge of sustainable fashion, production techniques used by MSMEs and textile materials applied in production. Data analysis used validity, readiness, t-test and multiple linear regression tests. The results of the study show that production techniques have a significant influence on the level of sustainable fashion implementation, with a p-value of 0.041. Meanwhile, textile knowledge and materials did not show a significant influence on the implementation of sustainable fashion with a p-value of >0.05. The value of the determination coefficient (R2) for production techniques is very high at 0.95, which shows that production techniques are the most influential factor in the implementation of sustainable fashion in MSMEs in the fashion sector to prioritize the development of sustainable production techniques as the main step towards increasing sustainability in the fashion sector.

The development of artificial intelligence technology is a great opportunity for the fashion industry, especially in designers based on personalization and consumer needs. This study aims to examine Midjourney's AI technology in the design personalization process by integrating solid data and consumer style preferences. This research is expected to support the concept of mass customization in the fashion industry and increase the relevance of design to user character. This research uses a mixed method method by combining quantitative data and qualitative data. The research stages include body data collection and style preferences, prompt formulation, data-driven prompt formulation, design generation using Midjourney, design validation by experts and consumers, and integrated data analysis.The results showed that the majority of the designs produced were considered feasible in terms of construction (83%) and in accordance with the character of the consumer's body (75%). The modest and minimalist style categories received the highest personalization scores. The qualitative findings reinforce the quantitative results, showing that consumers feel the fit of the style and proportions of the design with the character of their bodies.The study concludes that Midjourney's AI integration in the fashion design process is able to effectively support design personalization, although it still requires the role of designers in technical refinement. This approach has the potential to be an innovative solution in the development of data-driven fashion design.

In demographic studies, population growth refers to changes in the number of inhabitants over a given period, measured by calculating numerical differences in population size and expressing them within specific time units to illustrate patterns of increase or decline. Based on data from Tembalang District in Figures 2025, the population growth rate in Kedungmundu Village rose by 0.51% between 2016 and 2025, with most residents relying on clean water services provided by PDAM Tirta Moedal as their primary source of drinking water. This study aims to estimate clean water demand based on projected population growth and to design a pipeline network system capable of meeting future needs. The analysis of water demand applies population projection methods, including arithmetic, geometric, and least square approaches, to compare their levels of accuracy, while the clean water distribution network is modeled using EPANET 2.0. One of the main challenges faced by PDAM is that service coverage has not yet been fully optimized. The ten-year projection results indicate that the arithmetic method provides a correlation value closest to 1, estimating a future population of 14,904 people with a total clean water requirement of 3.48 liters per second. To support this projected demand, the proposed network design utilizes High Density Polyethylene (HDPE) pipes with diameters of 12, 10, and 8 inches to ensure efficient and sustainable water distribution.

Pedestrian is one of the most important public spaces for urban areas. On the border of Muara Enim city has a pedestrian that attracts attention, namely the pedestrian welcome intersection kepur. Simpang Kepur pedestrian has a border gate that is the center of attention and the first impression when entering the city of Muara Enim so that it has the opportunity as a face or symbol of the identity of the city of Muara Enim. Visually, the existence of pedestrians and gates at the Kepur intersection looks quite attractive but functionally it is not in accordance with the characteristics of pedestrian activities on the pedestrian so that research is needed to rearrange the previous design so that the function of the pedestrian becomes even better. The method used is qualitative through observation based on facts and activities in the field. Analysis based on the impression of place and activity on the pedestrian. The results obtained that there is a need to change the appearance of the color processing so that the pedestrian becomes more alive, need to keep the pedestrian so that there is no loss or damage, the need for guardrails or vegetation / view barrier plants in the area behind or beside the pedestrian, rearrangement of plants that can absorb dust and can absorb noise, and arrangement of street furniture, namely visual recommendations for a wider bus stop design, replace permanent seating, replace permanent trash.

This study aims to design, implement, and test a prototype that automates three functions, namely watering, fertilizing, and pest control based on Arduino Uno with the ability to directly monitor soil moisture and pH. This system is equipped with four main types of sensors. Soil condition monitoring involves an FC-28 soil moisture sensor and a soil pH sensor, water level measurement involves an HC-SR04 ultrasonic sensor, and pest detection in the plant area involves a RIP sensor. All data obtained from these sensors is then processed by the Arduino Uno microcontroller to automatically activate actuators such as water pumps, liquid fertilizer pumps, buzzers, and DC motors according to soil conditions and plant needs. Prototype testing was conducted on simulated land with various scenarios of moisture, soil pH, and pest activity. The test results revealed that the system was proven to be able to significantly optimize water and fertilizer utilization, as well as reduce pest disturbances that could potentially damage plants.  In addition, this system also displays the operational status directly through an LCD screen, making it easy for users to monitor. The advantage of this system is its multi-function integration in a single device that is cost-effective and easy to operate. In the future, the functionality of this system can be improved through integration with Internet of Things (IoT) technology, enabling remote monitoring and control with greater efficiency. More broadly, this study is expected to support increased production and sustainable agricultural practices in Indonesia.

Fly ash and bottom ash (FABA) are combustion residues from coal-fired power plants. Following the issuance of Government Regulation No. 22 of 2021, FABA is no longer classified as hazardous and toxic waste (B3). However, FABA must still be managed properly due to its potential to cause pollution through leachate generated if leaks occur in the FABA disposal area. This study evaluates the lining and drainage systems in the FABA disposal area at PT. PLN Nusantara Power UP Paiton to ensure that leachate does not contaminate surrounding groundwater. The research employs descriptive qualitative and quantitative methods, collecting secondary data to assess the structure and pollution control systems in the FABA disposal area at PT. PLN Nusantara Power UP Paiton. The data includes the disposal area structure and water quality from monitoring wells. Analysis results indicate that the FABA disposal area lining system operates effectively and in compliance with regulations, successfully containing leachate movement and preventing seepage. This is supported by pH, Fe, Hg, and turbidity levels in groundwater from monitoring wells remaining within safe limits. Additionally, the presence of a runoff pond helps contain surface runoff during heavy rain, keeping overflow water under control. Overall, the disposal area structure and leachate management system at PT. PLN Nusantara Power UP Paiton function well, but routine monitoring must continue to ensure no seepage occurs, preventing leachate from contaminating the surrounding environment as an early preventive measure to maintain environmental quality and regulatory compliance.