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The aim of this research is to determine the increase in interest in learning for fourth grade students in science subjects with the topic of discussing the characteristics of plants on Ceremai trees through the Quantum Teaching Learning Model at SDI Duarato for the 2024/2025 academic year. This type of research is Classroom Action Research (CAR). The subjects of this research were 15 grade IV students at SD Inpres Duarato, consisting of 8 male students and 7 female students. The object of this research is Natural Sciences (IPA) learning using the Quantum Teaching learning model. Based on research and data analysis, it can be concluded that the Quantum Teaching learning model can increase interest in learning science in class IV students at SD Inpres Duarato for the 2024/2025 academic year. This can be seen before implementing the Quantum Teaching learning model in science learning. Of the 15 students, 6 students (40%) completed it, and 9 students (60%) did not complete it. Furthermore, by applying the Quantum Teaching learning model, it was obtained that 9 students (60%) had completed their learning interest in cycle I, while 6 students (40%) had not completed it. In cycle II, 13 students (86.66%) completed it, and 2 students (13.33%) did not complete it. From the data above, there was an increase from the initial data, cycle I and cycle II.

Public Green Open Space (RTH) is an essential element in urban spatial planning to support environmental sustainability. Through the process of photosynthesis, RTH helps absorb carbon dioxide (CO₂) produced by human activities, such as transportation and industry, thus contributing to climate change mitigation. This study aims to explore the role of RTH in absorbing CO₂ and the challenges faced in its management. The study was conducted using a systematic approach through literature analysis and case studies in several cities in Indonesia and around the world. The research results indicate that vegetation type, area size, and environmental conditions are the main factors affecting the carbon absorption capacity of RTH. Large trees have a significantly higher capacity to absorb CO₂ compared to shrubs and grass, with the ability to absorb up to 250.63 tons of CO₂ per year per tree. However, challenges such as limited RTH area, urbanization pressure, and lack of public awareness remain obstacles to optimal RTH management. The recommendations of this study include increasing the area and quality of RTH through data-based strategies, community participation in management, and the development of policies that support sustainability. With proper management, RTH can function as a climate change mitigation tool while improving the quality of life for urban communities.  

Natural disasters are a phenomenon that cannot be avoided. Indonesia is one of the countries vulnerable to natural disasters. Based on data from the Indonesian Central Bureau of Statistics (BPS), it was concluded that extreme weather changes were the second most cases in Indonesia with 1,261 cases and in North Sumatra with 44 cases, which resulted in tornadoes and heavy rain. In line with this, the phenomenon of tornadoes and heavy rain has occurred in one of the cities in North Sumatra province, namely in Medan City, especially in the campus area of the University of North Sumatra, which resulted in several damages in several faculties and several fallen trees in the area around the University of North Sumatra campus.

Admission of new students to an educational institution is an activity that is always carried out every new academic year, where prospective new students always increase from year to year (Muwardah and Pramunendar, 2015). Admission of students can be held from elementary to middle school, from middle school to high school / vocational school. The focus of this research is the registration of new students at SMK. As is known, SMK is a Vocational High School or abbreviated as (SMK) and where there are many majors provided which ultimately makes prospective new students confused about which major is right for them because will take a long time.. Based on C4.5 as a Classification Algorithm: C4.5 is a popular algorithm for building decision trees. It works by dividing a dataset into smaller subsets based on attribute values, thus forming an easy-to-understand tree structure. Classification results using decision trees provide a clear visualization of the decision-making process and the variables that contribute to student choices.

The objective of this study is to analyze the income of durian farmers (Durio zibethinus Murr.) and to examine the influence of these production factors on the income of durian farmers in Garuda Village, Padangguni Subdistrict, Konawe District. This research was conducted in Garuda Village, Padangguni Subdistrict, Konawe District from May to June 2024. The population in this area consists of 30 farmers, thus a saturated sampling technique or census. The analysis methods used are income analysis and Multiple Linear Regression. The results of this study show that the average income obtained by durian farmers is Rp. 50,972,983/Ha/season. Based on the F-test, the variables of land area, number of trees, selling price, and labor wages significantly affect the dependent variable. The T-test indicates that the variables of land area, number of trees, and selling price significantly and positively affect the income of durian farmers in Garuda Village, Padangguni Subdistrict, Konawe District. In contrast, labor wages have a negative effect related to age, where younger labor tends to increase production results, while older labor results in decreased production due to declining physical abilities, thus affecting the income received.

The remote-control system on this Unmanned Surface Vessel (USV) or unmanned ship uses Long Range (LoRa) technology. LoRa was chosen because of its ability to transmit data over long distances with low power consumption, making it very suitable for applications in the maritime environment. The control system on the USV is responsible for controlling movement, so it involves several technologies and components that work together to ensure the USV can operate efficiently. The way a USV works involves several systems working together to allow the autonomous vehicle to operate on the water surface unmanned or without direct human intervention. Under Line of Sight (LOS) conditions, the range of LoRa-02 to control unmanned is success rate up to a distance of 100 meters and achieved a 100% for data transmission. However, in the Non-Line of Sight (NLOS) test, there was a decrease in the range of only 70 meters due to obstacles such as trees or other objects. The transmitted data comes from the wireless camera in the form of images with timestamp displayed in real-time. The display from the wireless camera is utilized for visual field monitoring and can be monitored remotely.

Durian is one of the leading fruit commodities with high economic value in various tropical regions, including Indonesia. However, the durian cultivation process often faces challenges related to unstable environmental conditions, such as temperature fluctuations, soil moisture, and nutritional deficiencies which can affect the level of plant fertility and the quality of the fruit produced. Therefore, an effective and efficient monitoring system is needed to optimize durian plant care. This research aims to develop a fertility monitoring system for durian trees using Internet of Things (IoT) technology which can help farmers manage the environmental conditions of plants in real-time. The designed system uses various sensors, such as soil moisture sensors, air temperature and humidity sensors, light intensity sensors, and soil nutrient sensors, to collect relevant environmental data. The data obtained from these sensors is then processed by a microcontroller and sent via the IoT network to a cloud-based storage platform. The trial results show that this system can monitor environmental conditions with high accuracy and provide appropriate maintenance recommendations, thereby increasing efficiency in managing durian plants.

Sedayu Village, located in Gemuh District, Kendal Regency, has abundant natural resource potential. The majority of people develop various kinds of plants and trees to be used as business fields, one of which is bamboo. Bamboo as an abundant and easily renewable natural resource has great potential to be developed as a raw material for making environmentally friendly products. In addition to looking at the characteristics of bamboo both physically and mechanically, this bamboo has good quality to be applied as a raw material for crafts such as dustbin. This research aims to explore the potential of bamboo as a raw material for making dustbin in Sedayu Village with a focus on the advantages, manufacturing process and implementation strategy. This study uses a qualitative approach with a case study design that focuses on getting an overview of local conditions. Meanwhile, data collection is carried out by participatory observation, interviews and documentation. The results of the study show that bamboo has strength and rigidity that exceeds other materials, making it a good structural choice for construction. This research discusses the use of bamboo as a raw material for making dustbin in Sedayu Village. The advantage of bamboo dustbin is its strength. In addition to being able to last a long time outdoors, bamboo also has aesthetic elements, namely its characteristics that are very suitable for rural environments and contain local traditional values that have been passed down from generation to generation.

Trees play an important role in carbon sequestration and the global carbon cycle, contributing to climate change mitigation. The carbon dioxide cycle maintains a natural balance between concentrations in the atmosphere. The government mandate along with the Minister of Environment and Forestry's directive is to plant 200 trees in a lifetime. Trees are one way to reduce pollution, there is very little activity along the main roads of the village so this had to be done. The purpose of this work is to create a beautiful environment on the main road of the village so that the activities and benefits can be heard by the community. In this process the trees planted were Ketapang Kenka, Sengon, Glodogan and Pachira trees. Fruit trees can not only be utilized for air conditioning and disaster prevention, the community can also manage fruit trees. The community can see from the work that has been done that the community really appreciates the work. This can be seen from the enthusiasm of the community and village owners who participated in the tree planting activity.

This study aims to explore the foundation of code in the C++ programming language with a focus on data structures. Data structures are a fundamental component in efficient and effective software development. This literature review explores various types of data structures implemented in C++, including arrays, linked lists, stacks, queues, hash tables, and trees. An analysis is conducted on the basic principles and implementation of these data structures in the context of C++, taking into account the strengths and weaknesses of each structure. In addition, this study also discusses the evolution and comparison of data structure implementations from the perspective of performance and algorithm complexity. The results of this study provide in-depth insights into how data structures can affect the design and efficiency of C++ applications, as well as provide guidance for software developers in choosing the most appropriate data structures for their specific needs. The conclusions of this study highlight the importance of a deep understanding of data structures in software development and their contribution to the success of software projects.

Trenggalek and Malang districts are among the coastal cities in East Java that have mangrove forests. The function of mangroves as a wear prevention to maintain the plains is the background of this research. The purpose of this study is to compare the vegetation density of mangrove forests in Trenggalek and Malang using Landsat 8 image 2 channel algorithm method by calculating the vegetation index value with NDVI and EVI methods. The difference in vegetation values can be seen based on thematic maps with differences in average diameter of mangrove trees where in mangrove forests in Trenggalek Regency has an average diameter of mangrove trees of 6.55 cm while in Malang Regency has an average diameter of mangrove trees of 5.73 cm. There are also differences in vegetation values based on the two methods used in the study, namely NDVI and EVI show differences in vegetation values. Using the NDVI method, the vegetation value is 0.53232 for the Malang area while 0.6263 for the Trenggalek area. Although both are classified as very dense, there is a difference in the t-test on the average vegetation value using the NDVI method. Using the EVI method, the vegetation value of 0.33994 for the poor area is classified as moderate while 0.42033 in the Trenggalek area is classified as dense.    

The planting of Casuarina trees in Pidodokulon Village, Kendal Regency, aims to prevent coastal erosion in the Pilangsari Beach area and develop its potential as a marine educational tourism destination. The planting process involved site surveys, placing bamboo stakes as markers, and planting the saplings, with participation from various community elements, including KKN students, the village head, and local environmental enthusiasts. Preliminary results show positive impacts on erosion prevention, with the growth of Casuarina and mangrove trees around the beach area. While the tourism potential may take time to fully develop as the trees mature, this activity provides significant benefits for the preservation of the beach ecosystem and raises awareness among the community and students about the importance of environmental conservation.

Critical Control Point (CCP) a point, stage, or procedures where the danger that related with food can be prevented, eliminated or reduced to the point that can be accepted (allowed or secure point). The purpose of this research is to know the level of the determination of Critical Control Point (CCP) on the process of fish canning sardinella,SP and know the critical control point on the process of fish canning sardinella,SP. This study uses qualitative data obtained from interviews, surveys, observations and documentation using data reduction analysis, data presentation, verification and decisionmaking trees. The results of this study show that the Application of Critical Control Point (CCP) in the Lemuru Fish Canning Process (Sardinella Lemuru) at PT Sarana Tani Pratama has been effective even though there are several elements that need more attention so that its application can be in accordance with the guidelines for good food production methods. Critical control points (CCP) in the process of canning lemuru fish (Sardinella, sp), are as follows: 1) Acceptance of raw materials (frozen & fresh), 2) Closure of cans (seammer), 3) Sterelization / Retort.

In Sesaot Village, Narmada Sub-district, West Lombok Regency, students from Mataram University are implementing the Community Services (KKN PMD). Through a number of initiatives such as cleaning riverbanks, planting trees, maintaining tourist trails, promoting waste management in the community, and providing training on the utilization of plantation products, the main objectives of this program are community economic empowerment and environmental quality improvement. These initiatives have successfully raised community awareness of the importance of protecting the environment and encouraged the conversion of plantation produce into high-quality and profitable goods. The program actively involves the community in all stages, from planning to evaluation, through the use of participatory methodologies. As a result, the environment has improved, the area has become more beautiful, and the empowerment of the community, especially the women who run MSMEs, is expected to contribute to the community. All of these developments are expected to have a long-term positive impact on the welfare of the village community.

Learning is the core of an education has an important role in advancing the welfare and human resources, one of which is in terms of teaching and learning. The purpose of this study is to determine learning styles, student motivation and student responses in learning geography. Geography learning styles that will be the focus of researchers in this study are visual, auditorial, and kinesthetic learning styles Motivation is one of the steps or factors that can encourage students to behave using feelings and reactions in geography learning activities. The results of research on class X students consisting of 34 female students, class XI consisting of 26 female students and class XII consisting of 35 male students at MA Darul Ihsan Samarinda. Based on the results of the study, the majority of learning styles owned by class X students are visual as many as 34 students, then class XI students are mostly kinesthetic as many as 26 students, as well as class XII the majority of kinesthetic learning styles as many as 35 students Each class has a different learning style and has each learning style. Every student basically has motivation in themselves, be it external or internal motivation. The sample in this study was class X consisting of 34 female students, XI IPS1 consisting of 26 female students, XII IPS2 consisting of 35 male students at MA Darul Ihsan Samarinda. The sample technique used is Random Sampling. Based on the results of data recap that has been done on the student learning motivation questionnaire has motivation in the good category, from these results it can be said that 34 students have good motivation, then in the category as many as 26 students have a category Less, then as many as 35 students have a good category. Based on data analysis that has been carried out on student learning responses in classes X and XI, it is found that student learning responses are in the good category with a total of 60 students or equivalent to 64%. Then in the very good category with 35 students or equivalent to 65%. The high learning response can be seen from the various indicators that have been analyzed.

Mango (Mangifera indica L.) is a fruit that is loved by people all over the world. This research aims to determine the morphological characteristics of mango fruit in Panyileukan District, West Java, Indonesia. This research was conducted in four villages, namely Mekar Mulya, Cipadung Kidul, Cipadung Wetan and Cipadung Kulon. This research aims to determine the morphological characters of mangoes in Panyileukan District. Field data collection was carried out by observing the mango varieties planted by the community in their home gardens. A total of eight varieties of mango were found at the research location: mango gedong, garifta, arumanis, cengkir, kaweni, grogot, simanalagi and apple. Each mango variety has different morphological characteristics. Botanical identification was carried out by comparing the morphological characteristics of mango trees using several publications, including journals, magazines and websites. There were 8 types of mango, namely; gedong, garifta, arumanis, cengkir, keweni, grogot, simanalagi and apple

This study aims to apply the C4.5 algorithm in classifying athlete performance based on the 2023 award recipient list. The C4.5 algorithm was chosen for its ability to construct decision trees that can identify patterns and characteristics distinguishing high-performing athletes. The data used in this study includes various attributes such as gender, age, sport, number of medals, and level of competition participation. The results show that the C4.5 algorithm can classify athletes with high accuracy. The resulting decision tree provides valuable insights into the key factors contributing to athlete performance. The implementation of this algorithm is expected to assist sports organizations in more effectively identifying and developing potential talents.    

The reconstruction of the village park is an urgent need in strengthening local identity, improving the quality of life of the community and its environment. The location of the park located on the edge of the Janeng Dam in Mlorah Village is quite well maintained and there are trees that make the environment cool, but it lacks attractiveness because there are no vehicle facilities. The purpose of this community service activity is to achieve the SDGs indicators in order to create a healthier environment, support the digitalization of education, and preserve the environment. The method in implementing the activity is Participatory Action Research. The results of this park reconstruction and digitalization activity are park social media accounts and inorganic waste management into park facilities in the form of biopores, park direction signs, and playgrounds

This study aims to apply the C4.5 algorithm in classifying athlete performance based on the 2023 award recipient list. The C4.5 algorithm was chosen for its ability to construct decision trees that can identify patterns and characteristics distinguishing high-performing athletes. The data used in this study includes various attributes such as gender, age, sport, number of medals, and level of competition participation. The results show that the C4.5 algorithm can classify athletes with high accuracy. The resulting decision tree provides valuable insights into the key factors contributing to athlete performance. The implementation of this algorithm is expected to assist sports organizations in more effectively identifying and developing potential talents.

Important conceptual activities are carried out to deal with the environmental crisis by preserving the environment through reforestation. The condition of developing areas and the changing function of space for development requires the concept of greening. Humans are one of the determining factors for efforts to preserve the environment while having the role and responsibility of empowering environmental wealth for the survival of the ecosystem. The purpose of this community service activity is to revive natural aesthetics, trees as air fresheners, and flood mitigation. Community service with greening efforts to preserve the environment uses the Participatory Action Research (PAR) method as a basis. The results obtained include the creation of a fresh, healthy, and cool atmosphere, nature becomes maintained and clean, and the addition of new knowledge to do reforestation through planting tree seedlings.