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The greening program is an important effort to improve environmental quality and strengthen community awareness of ecological sustainability. This study aims to describe the implementation of tree-planting activities carried out by university students in Kalikatir Village through a participatory approach. The research employed a qualitative descriptive method, using observation, interviews, and documentation as data-collection techniques. The findings indicate that community participation plays a significant role in the success of the program, particularly in selecting planting locations, providing tools and support, and maintaining the planted trees. The greening activities have produced positive impacts, including increased vegetation cover, a cooler village environment, and stronger community awareness of the importance of green spaces. Moreover, collaboration between students and local residents has enhanced social cohesion and supported the sustainability of environmental initiatives. This study concludes that a participatory approach combined with a qualitative descriptive method is effective in understanding the dynamics of implementing greening programs at the village level.

The customary forest of Sub-Tribe Afsya, Bariat Village, South Sorong Regency, Southwest Papua is a lowland tropical rainforest of approximately 2,500 hectares managed under the indigenous "Sasi Adat" system. This study aimed to determine bird species diversity, evenness of distribution, and the relationship between bird communities and vegetation structure. Research was conducted in January 2026 using a combination of line transect and point count methods along five 1,000-meter transects, observed in the morning (06:00–10:00 WIT) and afternoon (15:30–18:00 WIT). Data were analyzed using the Shannon–Wiener Diversity Index (H’), Simpson's Dominance Index (D), Evenness Index (E), and vegetation Important Value Index (IVI). The study recorded 30 bird species from 16 families with 492 individuals, including 12 Papua-endemic species protected under Minister of Environment and Forestry Regulation No. P.106/2018. H’ values ranged from 1.197 to 2.472 (moderate to high); dominance was low to moderate; and evenness ranged from 0.668 to 0.933, with most transects showing high evenness (E > 0.75). Vegetation was dominated by damar trees (Agathis labillardierei) and fruiting trees synergistically supporting frugivore, insectivore, and nectarivore bird guilds. The Sasi Adat management system demonstrably contributes to habitat quality, rendering this forest of significant conservation value for Southwest Papua's avifauna.

Rubber (Hevea brasiliensis) is an important plantation commodity that contributes to improving rural livelihoods. However, the productivity of smallholder rubber plantations remains relatively low due to various technical constraints, socio-economic conditions, and limited farmers’ knowledge and technology. This study aims to analyze the influence of technical aspects of cultivation and socio-economic aspects on farmers’ knowledge and technology in rubber cultivation in Desa Antutan, Kecamatan Tanjung Palas, Kabupaten Bulungan. This research employed a mixed methods approach with a descriptive design. Quantitative data were collected through questionnaires distributed to 30 rubber farmers selected using purposive sampling, while qualitative data were obtained through in-depth interviews and documentation. Quantitative data were analyzed using multiple linear regression with SPSS software, while qualitative data were analyzed through data reduction, data display, and conclusion drawing The results indicate that technical aspects of cultivation and socio-economic aspects simultaneously influence farmers’ knowledge and technology in rubber cultivation. Partially, technical cultivation aspects have a more dominant effect than socio-economic aspects. Qualitative findings reveal that the main problems faced by farmers include improper tapping techniques, aging rubber trees, rubber price fluctuations, and limited access to agricultural training and extension services.

The community service program in Dusun Bendrong aimed to foster environmental awareness through the planting of timber and fruit seedlings as a response to declining forest quality and reduced water availability caused by vegetation loss. This program sought to enhance community participation in forest conservation while strengthening local wisdom related to environmental stewardship. The activity was conducted in three stages: pre-activity observation and coordination with the Village Head and community leaders, joint planting of 14 seedlings by Student Community Service (KKM) participants and local residents, and monitoring and evaluation to assess implementation and participant understanding. The results showed that all seedlings were successfully planted, with high levels of participation from both students and community members. The activity increased awareness of forest conservation and highlighted the importance of collective action in maintaining environmental sustainability. Timber trees contributed to forest restoration, improved water absorption, and reduced erosion risk, while fruit trees provided additional economic and social benefits for the community. Overall, this participatory approach proved effective as a sustainable model for community service programs that integrate environmental conservation and community empowerment.

Peat characteristics include low fertility, high acidity, and poor drainage because it comes from the weathering of organic matter under anaerobic conditions. However, peat has environmental benefits such as absorbing carbon, water buffers, and providing habitat for various unique flora and fauna. The use of peat as agricultural land is widely used by farmers in Pontianak City because it has a very large peatland area with a traditional agricultural system. However, traditional farming will have local knowledge (local wisdom) as a way to minimize damage to the peat ecosystem as an adaptation effort. This study aims to examine the adaptation of peatland management in traditional farming in Pontianak City. The method used in this study is qualitative descriptive and multiple linear regression analysis. The number of research samples was 68 farmers. The results of the study showed that traditional farmers have paid attention to the sustainability of their farming to minimize environmental damage. The results of the study showed that the adaptations carried out were making wells to maintain water availability, using short-lived vegetables that require shallow drainage of 20-30 cm and are adaptive to peat, providing intensive shade, planting trees on empty land, cleaning intensive irrigation, providing ameliorant ash, lime, chicken manure intensively, and arranging planting patterns with diversification. The determining factors for peatland management adaptation include age, land area, length of farming, participation of fire-conscious communities, and intensity of participation in outreach.

Malino City in Gowa Regency plays a crucial ecological role as a water catchment area, yet it currently faces the threat of land degradation due to land-use conversion and erosion in hilly areas. This community service activity aims to implement soil conservation while enhancing the economic potential of local residents through the planting of productive fruit tree seedlings. The methods employed include educational socialization, training on planting techniques for sloped land, and the distribution of superior fruit tree seedlings (avocado, durian, and orange). The results indicate an increase in community understanding regarding the importance of permanent vegetation in maintaining soil stability. A total of [Mention number] tree seedlings were planted with the active participation of local farmer groups. In conclusion, the integration of ecological and economic aspects through productive trees creates a sustainable conservation system by providing direct financial benefits to the community, thereby increasing their motivation to preserve the environment in the Malino region.

In high-performance computing (HPC) environments, the need to balance memory efficiency and query performance is crucial for ensuring optimal system performance. Traditional data structures, such as B-trees and hash tables, often prioritize either memory usage or query speed, leading to suboptimal performance in memory-constrained systems. This paper proposes a hybrid data structure that combines the strengths of multiple traditional data structures to optimize both memory usage and query processing speed. The proposed hybrid structure integrates cache-conscious algorithms, dynamic memory allocation, and compression techniques for intermediate query results. The approach is evaluated through extensive benchmarking tests comparing it to standard data structures like B-trees and hash tables under various workloads. Results show that the hybrid data structure reduces memory overhead by up to 30% while maintaining query processing speeds up to 1.5 times faster than conventional methods. Furthermore, the hybrid structure demonstrates robust performance across different types of queries, including both point and range queries, ensuring versatility and efficiency. The findings indicate that this hybrid approach provides a promising solution for HPC systems, where both memory efficiency and query speed are essential. Future research can explore extending the hybrid structure to distributed systems and emerging technologies, further improving its scalability and adaptability to new computational paradigms.

Detection and identification of plant diseases is critical to the success and efficiency of agricultural production. Plant disease outbreaks are becoming more frequent throughout the world, and the presence of these diseases in cultivated plants has a significant impact on productivity. Therefore, researchers are focusing on developing effective and reliable plant disease detection methods. Thus, farmers can take advantage of early detection of this disease to minimize future losses. This article discusses machine learning approaches as well as decision trees, K-nearest neighbors, naive Bayes, support vector machines (SVM), and random forests for detecting coffee leaf diseases using leaf images. The above-mentioned classifications were researched and compared to determine the most suitable plant disease prediction model with the highest accuracy. Compared with other classification algorithms, the SVM algorithm achieves the highest accuracy of 99.75%. All the models trained above will be used by farmers to quickly identify and classify new diseases in images as a prevention strategy. As a preventive measure, farmers can detect and classify new diseases in images early.

Crime, an unlawful act that contradicts ethics and norms, has now become a primary factor for the police in Lampung province. This presents a challenge for the police institution in predicting high crime rates. However, there are still many crimes that have not become the main focus of problem-solving at the Lampung Regional Police.This research aims to identify the types and criminal acts of crime with the highest recorded incidence in a crime dataset by performing classification using the Naïve Bayes algorithm. The data was obtained from investigators at the Directorate of General Criminal Investigation of the Lampung Regional Police, with a total of 12,034 JTP (Total Criminal Acts) and 7,518 PTP (Crime Resolution) data points for each type of crime, distributed across the Regional Police, City Police, and District Police throughout Lampung province. The classification process using the Naïve Bayes algorithm reveals the relationship between the work unit (Satker) and the type of crime handled, thereby identifying crime patterns based on the location where they are handled. The results of the research, which involved converting numerical data into binomial (binary) form using the "Numerical to Binominal" feature in Rapid miner, show that the analysis and modeling process, especially in algorithms like Naïve Bayes or decision trees, is more effective when using data in a binary format. Thus, the initial dataset can be visualized in the form of a , with the size of the text varying according to the level of each high-incidence crime; the larger the text, the more frequently or significantly the crime occurred or was reported. The application of this method can help in identifying patterns, dominant trends, and areas of focus for more targeted law enforcement efforts or crime prevention policies.

Gotong royong, or mutual cooperation, is a deeply rooted local cultural value in Indonesian society that plays a strategic role in strengthening social cohesion and promoting environmental consciousness. This study aims to explore and analyze the function of gotong royong in fostering social solidarity and raising community awareness of environmental sustainability through various communal activities. These activities include neighborhood cleaning, reforestation efforts, and participatory waste management, all of which require active involvement from community members. Using a qualitative descriptive method, the research was conducted through field observations and in-depth interviews with residents actively engaged in gotong royong practices. The findings reveal that gotong royong serves as a powerful social mechanism that encourages a sense of togetherness, mutual aid, and shared responsibility among community members. These interactions help to solidify social bonds and create a collective spirit that is vital for social resilience. In addition to reinforcing social relationships, the practice of gotong royong significantly contributes to enhancing environmental awareness. Communities become more proactive in maintaining cleanliness, preserving green spaces, planting trees, and managing waste sustainably. The study concludes that gotong royong is not merely a traditional cultural practice, but also an effective and relevant instrument for promoting social and environmental well-being in contemporary society. Its continued integration into community development programs could further strengthen both social solidarity and environmental stewardship, making it a vital component in sustainable development initiatives. Therefore, revitalizing and institutionalizing gotong royong is essential for fostering holistic and inclusive community growth.

Abandoned mining sites often experience a decline in soil fertility, which impacts soil quality and agricultural sustainability. This study aims to explore the potential of Pseudomonas fluorescens in rehabilitating limestone mining lands and enhancing the growth of Sengon (Falcataria moluccana) trees grown in polybag media. Sengon was selected as a pioneer species due to its resilience in degraded soils and its ability to improve soil structure. This study used an experimental design involving eight different treatments, which included the application of manure and varying concentrations of Pseudomonas fluorescens. Evaluations were conducted on the 25th and 50th days by measuring plant growth parameters such as plant height, root length, and key soil chemical properties, including pH, organic carbon, total nitrogen, total phosphorus, total potassium, and cation exchange capacity (CEC). The results showed that the application of 15 mL of Pseudomonas fluorescens on day 50 resulted in optimal plant growth, as indicated by an increase in plant height, root length, and soil quality improvement. The application of Pseudomonas fluorescens also enhanced soil pH, organic carbon, total nitrogen, and cation exchange capacity, all of which contributed to the improvement of soil fertility in the limestone mining land. This study provides evidence that Pseudomonas fluorescens can play a role in the rehabilitation of abandoned mining lands and improve the growth of Sengon trees, contributing to the recovery of degraded ecosystems.

Community Service (Kukerta) is a form of student community service that aims to apply knowledge, build social awareness, and encourage positive change in the surrounding environment. This article discusses the role of Kukerta Group 44 students from UIN Sultan Maulana Hasanuddin Banten in environmental conservation efforts and increasing educational awareness in Cibojong Village, Serang Regency. The majority of the population in Cibojong Village earn their living as farmers, but the agricultural produce obtained is generally only sufficient to meet daily needs, without guaranteeing long-term economic sustainability. Therefore, students educate the community through guidance from the BPP (Agricultural Extension Center), about learning to farm for the long term, and invite them to join the farming community. In addition, the community’s education level is relatively low, with most children only completing elementary school. Through a participatory approach and qualitative descriptive methods, students implement various programs such as planting productive trees, waste management education, and socialization of sustainable agriculture. In the field of education, students hold tutoring activities, motivational classes, and literacy for village children and adolescents. The results of the activity show that the active involvement of students has a positive impact on increasing public awareness of the importance of protecting the environment and continuing education. Kukerta is an effective means of building collaboration between universities and village communities to address local challenges sustainably.

This study aims to analyze the structure and composition of vegetation on the banks of the Ira River (Wae Ira), Negeri Kamarian, Kairatu District, West Seram Regency. Riparian vegetation plays an important role in maintaining the stability of river ecosystems, both in terms of ecological, hydrological, and biodiversity aspects. The method used in this study is a combination of the continuous strip sampling method and the line plot sampling method, which are applied to four levels of vegetation growth, namely seedlings, saplings, poles, and trees. The results of the analysis show that the vegetation structure in the study area is divided into four strata, with varying species compositions in each stratum. The dominant species found include Pulai (Alstonia scholaris), Pulaka (Cyrtosperma merkusii), Buah rao (Dracontomelon mangiferum), and Salam (Syzygium polyanthum). The highest Importance Value Index (INP) at the tree level is owned by Pulai (Alstonia scholaris) at 54,2. The highest vegetation density is at the seedling level with 52000 individuals/ha and the lowest at the tree level with 341 individuals/ha. The Shannon-Wiener diversity index (H') ranges from 1.87–2.65, indicating a moderate level of diversity. The results of this study indicate that the Ira River border area still has a relatively good vegetation structure and composition, although there are ecological pressures that cause dominance by certain species

This study aims to analyze land cover changes in Pariaman City in 2013, 2018, and 2024 using Landsat-8 imagery with the support of the Google Earth Engine (GEE) platform and the Classification and Regression Trees (CART) algorithm. Land cover change is a critical issue in Pariaman City, as population growth, infrastructure development, and economic activities have driven significant land conversion. The classification generated eight land cover classes representing the general condition of the area. The analysis revealed that rice fields were the dominant land cover in all three periods; however, they experienced a substantial decline, indicating land conversion, particularly into settlements and road networks. In addition, the area of mangrove forests and water bodies in coastal regions decreased, while plantation areas in the eastern and southern parts of the city increased. Conversely, river land cover remained the smallest category, with annual fluctuations. The identified change patterns included urban sprawl (expansion of settlements into suburban areas), the conversion of productive land into infrastructure, and coastal degradation due to human activities and natural factors. The accuracy assessment produced overall accuracy and a Kappa index above 80%, while validation using the Mapping Accuracy method through Google Earth showed per-class accuracy rates above 75%, categorized as very good. These findings indicate that the use of satellite imagery and the CART algorithm in GEE is effective for monitoring land cover dynamics while providing valuable insights for local governments in formulating sustainable development policies and managing coastal environments such as those in Pariaman City.

Natural resource management in Paccellekang Village, which includes rice paddies, plantations, and teak trees, remains suboptimal despite its significant potential, particularly the abundant wood waste. This wood waste largely originates from agricultural activities, plantations, and small-scale wood processing. Currently, this waste is often simply burned or dumped, potentially polluting the environment and causing air pollution. However, if managed properly, wood waste can be transformed into high-value products that can provide financial benefits to the community. This community service activity aims to empower farmer groups through training in processing wood waste into marketable products such as charcoal, liquid smoke, and wood flour. These products not only have economic value but are also useful in various sectors, for example, liquid smoke as a natural preservative, charcoal as an environmentally friendly fuel, and wood flour as an industrial raw material. The program implementation method uses a structured approach that includes initial observations to identify potential partners and needs, outreach to provide a comprehensive understanding of the program's objectives, and training in wood waste processing technology. Furthermore, intensive mentoring and evaluation of implementation results are provided to ensure program sustainability. The results demonstrated that the farmer group members understood the concept of productive wood waste management and demonstrated high enthusiasm for developing innovative products. This program successfully improved the community's skills in utilizing local resources while reducing the negative impact of waste on the environment. Thus, this activity contributed to increasing community income and supporting sustainable economic development in Paccellekang Village.

The transition of children from early childhood education to elementary school (SD) is a critical phase in their psychological and academic development. During this phase, children face significant challenges, including changes to a more structured learning environment and increasing academic demands. At SDN 055991 in Langkat Regency, this phenomenon is reflected in the difficulties experienced by some students, particularly with basic skills such as reading, writing, and arithmetic, as well as with socializing with peers. These difficulties can impact children's long-term academic and social development. This study aims to identify the key factors influencing children's learning readiness during this transition period, utilizing artificial intelligence (AI) technology. Specifically, this study uses Artificial Neural Networks (ANN) and Decision Trees as tools to analyze the data obtained. The use of this data-driven approach allows for a more in-depth analysis of the complex patterns and relationships between various variables that influence children's learning readiness, such as family factors, social environment, and students' basic skills. This study also references various previous studies demonstrating the effectiveness of backpropagation and Deep Learning algorithms in the context of education and student performance prediction. This approach is expected to provide more precise solutions for understanding children's learning readiness and provide a more accurate picture of the factors contributing to difficulties experienced by students in the transition to elementary school. The results of this study are expected to provide relevant recommendations for parents, educators, and education policymakers to support children's learning readiness and strengthen basic education policies that are adaptive to the needs of students in this digital era.

Agroforestry is also a form of sustainable agriculture model. Agroforestry systems are formed of three main components, namely forestry, agriculture, and livestock. The agrosilvopastura system is the combination of woody components (forestry) with agriculture (annuals) as well as livestock on the same land management unit. The priority order of the most important alternative options for sustainable agriculture includes strengthening farmer institutions, developing a cadre of farmers/farmer groups aware of sustainable agriculture, and increasing demonstration activities for sustainable agricultural technology. Financial analysis shows that all agroforestry systems are economically viable, and agrosilvopastura provides the most inputs compared to agrosilnikultur and silvopastura. Erosion that occurs on agroforestry land agroforestry, especially agrosilvoculture in the buffer zone of Southeast Aceh District is not harmful because it is smaller than the allowable erosion (<30.6 tons/ha/yr). The total biomass and carbon of stands in agroforestry systems with agrosilvopastura type of 103.17 and 46.74 tons per hectare, respectively, are similar to the total biomass and carbon of stands in mangrove forests. carbon in Rhizophora apiculata mangrove forest with a density of 463 trees per hectare, which were 169.46 (biomass) and 47.08 (carbon) tons per hectare, respectively. Agrosilvopastura systems can play a role in mitigating floods compared to monoculture farming systems for each hectare of land for every 1 hour of work.

The People’s Palm Oil Replanting Program (PSR) is a national policy aimed at improving the productivity of smallholder plantations through the replanting of aging and unproductive oil palm trees. This study reviews the implementation of PSR in Indonesia by analyzing ten scholarly articles through a literature study approach. The findings indicate that program effectiveness is significantly influenced by technical support such as training, mentoring, the application of Good Agricultural Practices (GAP), and strategic partnerships for harvest absorption. However, implementation faces several challenges, including limited human resources, damaged equipment, inadequate funding, prolonged replanting periods, weak coordination among stakeholders, and lack of policy dissemination. Local institutions such as cooperatives (KUD) and farmer groups (Gapoktan) play crucial roles in ensuring program sustainability and inclusiveness by acting as managers and conflict mediators. Although farmers are generally ready and actively participate, regulatory constraints—particularly the requirement of financial guarantors—remain a barrier. The study recommends strengthening local institutional capacity, enhancing stakeholder synergy, and simplifying financial schemes as strategic steps to improve the long-term effectiveness of the PSR program.

This community service activity aims to increase awareness of the younger generation in Sanrobone Village, Takalar in maintaining environmental cleanliness and health through an educational and participatory approach. Activities include counseling on 3R waste management (Reduce, Reuse, Recycle), composting training, the formation of a village waste bank, and real actions in the form of planting trees and cleaning water channels. The results of the activity showed a significant increase in the understanding and skills of young people in managing waste and protecting the environment. In addition, the formation of the Sanrobone Village Waste Bank is the first step in efforts to reduce plastic waste and increase the economic value of inorganic waste. This activity has succeeded in fostering the commitment of the younger generation as pioneers of a sustainable clean and healthy environment movement in the village.

This community service aims to improve learning outcomes and the process of learning mathematics, especially the Greatest Common Factor (GCF) and the Least Common Multiple (LCM) in Elementary Schools to be more active and enjoyable. Learning LCM and LCM in Elementary School children can be said to have not had much impact because some students do not understand the process of solving LCM and LCM through factor trees and factoring. Community service activities were carried out in one day at SD GMIT Lamalu, Pantar District, Alor Regency. We were present to deliver material about LCM and LCM. During the community service, several students were interested in completing the material or questions given using factor trees. In the learning process about LCM and LCM, it can run well and can improve the quality of learning for students at SD GMIT Lamalu.