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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.

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.

Indonesia’s mineral downstreaming policy has become a strategic instrument to increase the added value of natural resources and strengthen the country’s position in the global mineral value chain. This study aims to analyze the effectiveness of the mineral downstreaming policy in encouraging regional economic transformation through the development of an integrated nickel processing industry in Obi Island, South Halmahera. The research employs a descriptive qualitative approach using secondary data obtained from government publications, corporate reports, policy documents, and environmental reports. Key data sources include regional economic statistics from the Central Bureau of Statistics, corporate publications from Harita Nickel, and regulatory frameworks such as Law No. 3 of 2020 concerning Mineral and Coal Mining. The findings show that the downstreaming policy has transformed Indonesia’s nickel industry by shifting export patterns from raw ore toward higher value-added products such as ferronickel and Mixed Hydroxide Precipitate (MHP), which are essential materials for electric vehicle battery production. The integration of Rotary Kiln Electric Furnace (RKEF) and High Pressure Acid Leach (HPAL) technologies in Obi Island has strengthened Indonesia’s role in the global battery supply chain while also stimulating regional economic growth in South Halmahera. However, the rapid expansion of the nickel industry also raises environmental governance challenges that require stronger regulatory oversight and sustainable mining practices. Therefore, future policy implementation should emphasize balanced economic development, environmental sustainability, and effective governance in mineral resource management.

This research aims to analyze the quality of electronic services (E-Service Quality) on user satisfaction of the DANA digital wallet application in the West Jakarta area. The evolution of financial technology (fintech) in Indonesia has encouraged rapid growth in the use of digital wallets, including DANA which is recorded to have more than 200 million users by 2024. However, this rapid growth is still marred by a number of user complaints regarding system reliability, service response speed and transaction security. Therefore, this study is important to evaluate how much e-service quality dimensions influence user satisfaction levels. The research method used is a quantitative approach with an associative type of research. Data was collected through questionnaires from 100 respondents who were active users of the DANA application in the West Jakarta area using a purposive sampling technique. Data analysis was carried out using SPSS software through validity tests, reliability tests, and simple linear regression analysis. The research results show that E-Service Quality has a positive and significant effect on user satisfaction of the DANA application with a coefficient of determination (R Square) of 0.907, which means that 90.7% of the variation in user satisfaction can be explained by the E-Service Quality variable, while the remaining 9.3% is influenced by other factors outside the research model. The results of the significance test (t test) show a significance value (Sig. < 0.05) which indicates that the influence of E-Service Quality on user satisfaction has been proven to be statistically significant. The results of this study are expected to serve as evaluation material for DANA application managers in improving the quality of digital services, particularly in terms of efficiency, system reliability, security, and user responsiveness. Furthermore, this research is expected to provide theoretical contributions to the development of studies in the field of information systems and digital service management.

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

The 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.

Gununganyar Reservoir in Tuban Regency is one of the reservoirs used as a source of livelihood for the local community. However, further development and utilization of Gununganyar Reservoir have yet to be undertaken. The development of a small-scale floating Photovoltaic Solar Power Plant (floating solar panels) at Gununganyar Reservoir, aimed at providing an alternative and renewable energy source for operating raw water pumps and for supporting the Gununganyar Nature Tourism (WAG) initiative, constitutes an innovative and strategic effort to enhance energy efficiency and environmental sustainability in rural areas. This study focuses on the design and performance assessment of a floating solar panel system constructed with processed bamboo as an alternative floating material replacing HDPE, while integrating local wisdom and environmental conservation principles to minimize the reservoir’s carbon footprint. The methodology employs a simple quantitative approach combined with a literature review of relevant studies. Based on the analysis, the design of this small-scale floating solar panel system utilizes a 170 Wp off-grid solar module mounted at a tilt angle of approximately 7,1°, capable of generating a peak power output exceeding 2,962 kWp and supported by a battery capacity of  328,33 Ah. The implementation of these floating solar panels is expected to serve as a model for reservoir development by promoting energy self-sufficiency, stimulating local economic growth, and contributing to the achievement of net zero emissions by 2060.

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in driving economic growth; however, their production activities frequently face uncertainty in achieving predetermined targets. Such uncertainty arises from fluctuating market demand, delays in raw material supply, labor limitations, variations in processing time, and other technical constraints. Conventional deterministic production planning methods often fail to capture these real-world risks and variations, leading to less accurate and suboptimal decisions. Therefore, a more adaptive analytical approach that incorporates probability and uncertainty is required. This study aims to analyze the probability of achieving MSME production targets using the Monte Carlo Simulation method. This method models random production conditions by generating data based on probability distributions derived from historical records. Simulations are repeated through numerous iterations to estimate possible variations in production output and measure the likelihood of meeting targets. The results indicate that Monte Carlo simulation provides more realistic and comprehensive production forecasts compared to traditional planning approaches. By understanding both the probability of success and potential risks, MSMEs can design adaptive strategies, optimize resource allocation, manage inventory more effectively, and improve overall production planning accuracy to ensure long-term business sustainability in a dynamic environment.

The growing pressure on urban drainage systems caused by blockages and environmental pollution highlights the importance of developing sustainable filtration materials. This study explores the use of coffee waste as an environmentally friendly filler integrated into polyester fabric (PE 24S) to create a green filtration medium for drainage applications. The research focuses on developing and characterizing the composite material through macro-photographic morphology analysis, tensile strength testing, and antibacterial evaluation. The findings demonstrate that polyester fabric modified with coffee waste shows a tensile strength of 54.024 ± 5.498 MPa, elongation of 111.128 ± 6.915%, and a Young’s modulus of 0.486 ± 0.543 MPa, indicating improved flexibility and sufficient mechanical durability for drainage system use. Additionally, antibacterial testing reveals that the composite material can inhibit microbial growth due to the presence of natural bioactive compounds found in coffee waste. Overall, the results suggest that coffee waste–enhanced polyester fabric offers a sustainable and mechanically reliable alternative for environmentally friendly drainage infrastructure while supporting circular economy practices.

Mawang Village occupies a strategic position as a buffer zone integrating the administrative center of Gowa Regency with other growth centers, featuring the ecological asset of Lake Mawang, which holds significant potential for ecotourism development. However, a discrepancy exists between spatial planning policies and the actual development of facilities and infrastructure on the ground. This study aims to identify the availability, accessibility, and physical feasibility of regional facilities and infrastructure as a fundamental database for area development. The method employed is descriptive-quantitative with a comparative analysis approach referring to the SNI 03-1733-2004 standards and spatial analysis. The findings indicate that religious and commercial/service facilities exhibit very high service levels with surplus conditions, while basic health facilities and early childhood education remain below minimum service standards. Spatially, the distribution of facilities tends to be concentrated along the main corridor, creating accessibility disparities for residents in inner residential areas. The collector road infrastructure is functionally adequate but lacks pedestrian facilities, while local roads suffer from pavement quality degradation. Furthermore, Lake Mawang, as a primary tourist attraction, still lacks basic supporting facilities. The implications of this research emphasize the need for equitable distribution of health facilities, revitalization of road quality, and the formulation of a comprehensive spatial detail plan for the lake area to achieve sustainable regional development based on local potential.

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.

The fitness industry has shown rapid growth as public awareness of the importance of healthy lifestyles increases in today's world. Gyms no longer function solely as a place to exercise, but also offer value and a sustainable experience for their members. The ability to manage a gym and retain members in this increasingly competitive era encourages gym owners to be more sensitive to factors that could potentially affect member satisfaction and loyalty. To improve the quality of the gym, it is necessary to evaluate the price and quality offered in the form of well-maintained and complete facilities. The suitability of the price to the benefits felt by members will make them more loyal to training at the gym. Likewise, comfortable facilities can increase member loyalty, which in turn drives member satisfaction, especially at Velcro Gym.

The rapid growth of e-commerce platforms in Indonesia, particularly Tokopedia, has resulted in a large volume of consumer reviews containing valuable information regarding customer perceptions and satisfaction. However, manual analysis of such reviews is inefficient and prone to subjectivity, necessitating an automated approach based on machine learning. This study aims to classify the sentiment of sports product reviews on Tokopedia into positive, negative, and neutral categories by applying Logistic Regression, Support Vector Machine (SVM), and Random Forest using the Term Frequency–Inverse Document Frequency (TF-IDF) approach. The data were collected through web scraping of Indonesian-language sports product reviews and processed through several preprocessing stages, including data cleaning, case folding, tokenization, stopword removal, and stemming. Feature representation was performed using TF-IDF to transform textual data into numerical vectors, after which the dataset was divided into training and testing sets with an 80:20 ratio. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the application of TF-IDF significantly improves the performance of all models, with SVM consistently achieving the most optimal performance compared to Logistic Regression and Random Forest. These findings demonstrate that classical machine learning algorithms combined with TF-IDF remain highly effective for sentiment analysis of Indonesian-language text. The implications of this study are expected to assist sellers in understanding customer opinions, support consumers in making informed purchasing decisions, and serve as a foundation for the development of sentiment analysis and recommendation systems on e-commerce platforms.

With the rapid growth of Jambi City's tourism sector, the demand for souvenir products as a representation of local culture has increased. However, this potential has resulted in fierce competition among businesses. To generate new customers, businesses require effective digital and physical marketing strategies. The purpose of this study was to examine how social media marketing, product quality, and location at Gerai Adila simultaneously and partially influence consumer purchasing decisions. A survey method was used to implement a quantitative approach; data from 387 respondents, collected through Google Forms, were selected using the Slovin formula from a population of 11,723 customers in 2024. In data analysis, instruments, classical assumptions, multiple linear regression, and hypothesis testing were conducted using SPSS 25. The results showed that social media marketing, product quality, and Gerai Adila's location partially had a positive and significant impact on consumer decisions to purchase products at Gerai Adila; social media marketing played a role in increasing consumer brand awareness and purchasing interest, while product quality influenced consumer satisfaction and trust. In addition, it was proven that all three variables had a positive and significant impact on purchasing decisions. The results show that to increase the competitiveness of souvenir shops in Jambi City, digital marketing strategies, consistent product quality, and the right location are important factors.

The growth of e-commerce in Indonesia has led to an increase in product reviews, including for beauty products on Tokopedia and Shopee. These reviews serve as important sources of information to assess consumer satisfaction; however, manually analyzing thousands of reviews daily is impractical. This study applies Natural Language Processing (NLP) with Naive Bayes, C4.5, XGBoost algorithms to classify sentiment in Indonesian-language reviews. The dataset used consists of 76,256 reviews labeled as positive, negative, and neutral. The research stages include text preprocessing, feature representation using BoW and TF-IDF, data balancing through SMOTE, and model performance evaluation based on accuracy, precision, and recall. Differences in results among the algorithms were analyzed using ANOVA. The results show that Naive Bayes achieved the highest accuracy at 67.71%, followed by XGBoost at 65.91%, and C4.5 at 58.39%, with Naive Bayes performing best in identifying positive and negative sentiments, while XGBoost and C4.5 handled more complex data patterns effectively. These findings provide guidance for sentiment analysis in Indonesian and support businesses in obtaining automated insights from customer reviews to improve product quality and services.

Bridge planning is a fundamental aspect in the development of transportation infrastructure that functions to connect regions, facilitate traffic flow, and support economic and social growth in the community. This study aims to comprehensively examine the stages of bridge planning, from identifying traffic needs and analyzing geotechnical conditions to selecting a structure type, and evaluating technical, economic, and environmental aspects. The methods used include field surveys, traffic data collection, design load analysis, and structural simulation using modeling software. The study results indicate that bridge type selection is not only determined by load capacity and cost efficiency, but must also consider sustainability, aesthetics, and the impact on the surrounding ecosystem. This study emphasizes the importance of integrating technical, social, and environmental aspects in bridge planning, so that the resulting design can provide a safe, efficient, and sustainable solution. Thus, bridge planning is not merely a technical process, but also a development strategy that supports connectivity and community welfare.

The limited urban land in Greater Jakarta demands the emergence of a residential approach that is more adaptive to the growing needs of space. This study examines the application of the concept of a growing house in the residence of Rumah Swatantra by Studio Dasar. The research method uses a qualitative-descriptive approach through literature studies and direct interviews with the designer architects. The results of the study show that the application of modular patterns and concrete hollow infill structure systems provides the flexibility of space growth without the need to dismantle the basic structure. The process of space growth occurred gradually following the development of the family from 2017 to 2024, and showed that the quality of space can still be maintained even though the building is built in stages. These findings confirm that the concept of growing houses can be an alternative strategy for sustainable housing in urban areas that experience limited land. In addition, this study highlights the importance of careful spatial planning from the early stages of development so that spatial expansion can be carried out efficiently, measurably, and in harmony with the needs of residents. This approach not only improves the comfort and functionality of the space, but also minimizes construction waste and future renovation costs.

Indonesia, as a pluralistic nation, faces significant challenges in maintaining social harmony amidst increasing globalization and cultural disruption. One strategy to strengthen the nation's ideological resilience is through religious moderation based on the values ​​of Pancasila and multiculturalism. This Community Service (PKM) activity was carried out in Widodaren Village, Gerih District, Ngawi Regency, with the aim of fostering tolerance, strengthening national identity, and internalizing the values ​​of religious moderation in community life. The implementation method includes three stages: preparation, implementation, and evaluation. The implementation stage includes Training for Anti-Radicalism and Intolerance Cadre Facilitators (KANIRA), a Religious Moderation Workshop, interfaith mutual cooperation activities, and a Village Diversity Festival. A participatory approach was implemented so that the community is actively involved in the entire activity process. All activities were carried out with a participatory approach so that the community can understand and internalize the values ​​of moderation contextually. The program's implementation has demonstrated the growth of dialogue, interfaith cooperation, and a spirit of togetherness among residents in daily life. The positive response from the community and village officials demonstrates that a value-based approach to religious moderation can be an effective means of strengthening national identity at the local level.

Wahno Subdistrict in Abepura District, Jayapura City, faces drainage problems that disrupt the area’s water management function. The varied topography, population growth, and the community’s habit of disposing waste into drainage channels have reduced the system’s capacity and caused frequent waterlogging during rainfall. This study aims to analyze the existing condition of the drainage channels in Wahno and to evaluate their effectiveness in conveying stormwater flow. The research methods include field surveys, channel dimension measurements, capacity calculations, and analysis of the effective volume compared to actual conditions affected by waste and sedimentation. The data were analyzed using quantitative and descriptive approaches to assess the performance level of the drainage system. The results show that most drainage channels in Wahno are not functioning optimally, with an average effectiveness of only 45–60% due to blockages caused by waste and sedimentation. The main factors reducing drainage effectiveness are decreased storage capacity, substandard design, and lack of regular maintenance. It is concluded that improvements to channel capacity, better waste management, and routine maintenance programs are necessary to enhance the drainage system’s effectiveness.

The rapid growth of online transportation services has significantly transformed urban mobility patterns, including in Abepura District, Jayapura City. This study is grounded in the concept of smart mobility, which emphasizes technological integration, efficiency, and accessibility within the smart city framework. The theoretical foundation draws on consumer preference theory and the Customer Satisfaction Index (CSI) model. A quantitative approach was applied through questionnaires distributed to 100 respondents, supported by secondary data on digital infrastructure and local transport regulations. The analytical methods included conjoint analysis to identify user preferences, CSI analysis to assess smart mobility readiness, and spatial analysis to map infrastructure support. The findings indicate that fare and safety are the most influential attributes shaping user preferences, followed by application usability, transport mode, and travel time. Maxim emerged as the most widely used application, followed by Grab and Gojek. The CSI score reached 77.60%, categorized as “highly ready,” though gaps remain in intermodal integration and waiting time efficiency. Spatial analysis confirmed that the coverage of 16 BTS towers in Abepura adequately supports online transportation operations. In conclusion, online transportation services in Abepura District demonstrate strong readiness to support the implementation of smart mobility, yet further improvements are needed in modal integration and operational efficiency to ensure sustainable and inclusive urban mobility.