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Customer attrition has become the focus of many businesses today – since the online market space has continued to proffer customers, various choices and alternatives to goods, services, and products for their monies. Businesses must seek to improve value, meet customers' teething demands/needs, enhance their strategies toward customer retention, and better monetize. The study compares the effects of data resampling schemes on predicting customer churn for both Random Forest (RF) and XGBoost ensembles. Data resampling schemes used include: (a) default mode, (b) random-under-sampling RUS, (c) synthetic minority oversampling technique (SMOTE), and (d) SMOTE-edited nearest neighbor (SMOTEEN). Both tree-based ensembles were constructed and trained to assess how well they performed with the chi-square feature selection mode. The result shows that RF achieved F1 0.9898, Accuracy 0.9973, Precision 0.9457, and Recall 0.9698 for the default, RUS, SMOTE, and SMOTEEN resampling, respectively. Xgboost outperformed Random Forest with F1 0.9945, Accuracy 0.9984, Precision 0.9616, and Recall 0.9890 for the default, RUS, SMOTE, and SMOTEEN, respectively. Studies support that the use of SMOTEEN resampling outperforms other schemes; while, it attributed XGBoost enhanced performance to hyper-parameter tuning of its decision trees. Retention strategies of recency-frequency-monetization were used and have been found to curb churn and improve monetization policies that will place business managers ahead of the curve of churning by customers.

This study employed knowledge discovery in databases (KDD) to extract and discover knowledge from the Benue State Polytechnic (Benpoly) admission database and used a structural causal model (SCM) ontological framework to represent the admission process in the Nigerian polytechnic education system. The SCM ontology identified important causal relations in features needed to model the admission process and was validated using the conditional independence test (CIT) criteria. The SCM ontology was further employed to identify and constrain input features causing bias in the local interpretable model-agnostic explanations (LIME) framework applied to machine learning (ML) black-box predictions. The ablation process produced more stable LIME explanations devoid of fairness bias compared to LIME without ablation, with higher prediction accuracy (91% vs. 89%) and F1 scores (95% vs. 94%). The study also compared the performance of different ML models, including Gaussian Naïve Bayes, Decision Trees, and Logistic Regression, before and after ablation. The limitation is that the SCM ontology is qualitative and context-specific, so the fair-LIME framework can only be extrapolated to similar contexts. Future work could compare other explanation frameworks like Shapley on the same dataset. Overall, this study demonstrates a novel approach to enforcing fairness in ML explanations by integrating qualitative SCM ontologies with quantitative ML/LIME methods.

Moss plants (Bryophyta) are bioindicators of environmental pollution. Identification of moss plant diversity has never been carried out at Medan State University. The research design used to obtain field data is by using the exploratory method. Sampling was purposive sampling in the humid environment around Medan State University, especially in parts that have lots of trees. The results obtained in this study show that there are two types of moss plants, namely leaf moss and liverworts. There are three species of leaf moss found, namely, Sphagnum moss, Entondon seductrix, Andreaea rupestris while the liver moss found is the Bozzania trilobata species.

Literacy and numeracy are basic competencies needed by students to analyze reading and numbers in various contexts.  Based on the research results, it is known that the literacy and numeracy competencies of students in Indonesia are still very lacking. For this reason, the Ministry of Education and Culture, through the Merdeka Belajar Kampus Merdeka (MBKM) policy, is holding a program called the Teaching Campus, which invites students to contribute to strengthening students' literacy and numeracy learning, especially at the junior high school level. Students work directly to help schools, teachers and students according to school conditions and existing needs. The student activities in implementing this campus teaching program are prepared in the form of a RAK (Collaborative Action Plan). However, before that the students are handed over by the field supervisor to the school, then the students carry out school observations. Once they felt they had enough observation data, students created a RAK with the main target of developing the quality of literacy and numeracy. In line with this, students carry it out together with a team that has been formed by the campus teaching program organizing committee. All activities include teaching in class, calistung tutoring, garden improvements, green parks, Bible study, art lessons, literacy trees, reading corners, helping with administration in employee offices, student character training, mutual cooperation, morning cleaning, helping with daily pickets, and development Student talent is a program that the student team carries out during the assignment period at the placement school for the class 7 campus teaching program at SMP Negeri 1 Palipi, JL. Mogang Harbor District. Palipi, Kab. Samosir.

Indonesia, as a country with complex geological conditions due to the convergence of various tectonic plates, is highly susceptible to natural disasters such as earthquakes, tsunamis, and volcanic eruptions. The city of Semarang, as the capital of Central Java Province, also frequently faces disasters such as floods, landslides, and earthquakes. Predicting the occurrence of natural disasters becomes crucial to mitigate the negative impacts they cause. This study uses the Markov chain method to predict natural disasters in the city of Semarang based on disaster data from 2018-2022. The prediction results indicate a 16% chance of floods, 34% chance of landslides, 10% chance of tornadoes, 22% chance of fires, and 17% chance of falling trees in 2023. Validation of the predictions against actual data for 2023 shows a relatively good match for floods and fires, but there are significant differences in the predictions for tornadoes and falling trees. These results indicate that the Markov chain method has potential in predicting disaster occurrences, but accuracy improvements are needed to account for weather variability and dynamic environmental factors. This research is expected to assist the government and society in enhancing disaster preparedness and mitigation in the future.

Margosari Village, Limbangan District, Regency has abundant natural potential, including sugar palm trees which are used to make palm sugar. Palm sugar producers are monitored by the local Village Government in the Margosari Village Palm Sugar Center. This quality and original production of palm sugar is not matched by an adequate selling price. This service activity which is packaged in the form of training is intended to provide education and training on processing palm sap and with a touch of product innovation so that it can increase the selling price of palm sugar. Training on cooking palm sap with the addition of red ginger juice, turmeric, ginger, galangal, lemongrass and producing a finished product in the form of spiced ginger flavored palm sugar in one drink portion size. The training participants are partners of the Service Team who are SMEs palm sugar producers.  The training method uses the participatory learning and action (PLA) method. Participants are actively involved in training activities. The training consists of stages of pre-training evaluation activities, presentation of material, explanation of the tools and materials needed, demonstration of making products, discussion of training production results and post-training evaluation. The training activity ran smoothly from start to finish. It is hoped that the results of the training will continue so that partners will be interested in continuing production and making it a commercial business that is more profitable than producing palm sugar traditionally. After the training activities, the service team is still providing assistance so that the results of the partners' independent production are better. Assistance continues with consultations from partners regarding the net weight of the product and determining the selling price, and how to market the finished product to a wide audience. This positive partner response will be interesting to continue providing services to the community with other themes that are in line with the service roadmap in managing SMEs, such as assistance with attractive product packaging, business legal aspects, and digital-based marketing.

This study aims to identify morphological and reproductive characters in Thallophyta and Bryophyta in UIN Sunan Gunung Djati Bandung. Bryophytes have high species diversity and are known as the second largest group of plants after flowering plants. They play an important role in maintaining ecosystems, especially water balance and nutrient cycles, and serve as bioindicators due to their sensitivity to environmental changes. The study was conducted by taking samples of leaf lichens and crustose lichens on various substrates such as rocks, soil, and trees, then observed using a stereo microscope and binocular microscope. The results showed that Thallophyta, such as crustose lichens, have unique morphological structures and can reproduce through ascospores, while Bryophyta, such as leaf mosses, have a life cycle that includes gametophyte and sporophyte stages. Reproduction in leaf mosses occurs sexually through the antheridium and archegonium, and asexually through stolon fragmentation. In addition to their ecological role, lichens also provide important habitat for a variety of organisms and help maintain the balance of tropical forest ecosystems. The adaptation of lichens to a wide range of environmental conditions allows them to survive in various substrates and extreme situations. This study provides new insights into the role of lichens in ecosystems and their potential applications for environmental conservation and restoration. The results of this study can serve as a basis for biodiversity conservation efforts and sustainable environmental management. Therefore, it is important to take appropriate conservation measures to preserve the vital role of lichens in ecosystems and the overall health of the environment.

Green Open Space (GOS) is one of the efforts to deal with increasing GHG emissions because it has the ability to absorb CO2 emissions. Development Area IV Pekanbaru is one of the Development Areas that has the potential to produce carbon dioxide (CO2) emissions, specifically in Bukit Raya Pekanbaru District. This research was conducted to determine the number of motorized vehicles and the value of CO2 emissions produced each day, as well as the value of the capacity of GOS to absorb CO2 emissions from transportation activities in Bukit Raya Pekanbaru District. The method used is recording traffic activities to calculate the amount of CO2 emissions and calculating all public green open spaces with vegetation cover in the form of grasslands and trees with a diameter of ≥ 20 cm, as well as calculating the percentage of green open space absorption capacity. The research results obtained were that the value of CO2 emissions from transportation in Bukit Raya Pekanbaru District was 67,007,898 tons of CO2/year. Meanwhile, the capacity to absorb CO2 by public green open spaces is only 1,992.32 tons of CO2/year. The results show that public green open space in Bukit Raya Pekanbaru District in terms of absorbing CO2 emissions from transportation is still insufficient with a percentage of only 2.97%.

Instilling environmental care character education in students through the adiwiyata program is very important considering the development of science and technology which makes human behavior increasingly exploit natural resources and lose concern for the environment. Through the Adiwiyata program, environmental care character education is expected to generate and realize environmental awareness by introducing children to the importance of environmental conservation. Environmental preservation can be pursued, especially in schools, through the Adiwiyata program. One of the schools in Tulungagung Regency which has the adiwiyata title is SMPN 2 Kauman Tulungagung. This research is qualitative research with a qualitative descriptive research type. The data collection techniques used in this research are observation, interviews, documentation. The formulation of the problem in this research is related to activities in cultivating character education that cares about the environment, strategies for cultivating character education that cares about the environment, supporting and inhibiting factors for cultivating character education that cares about the environment. This research aims to: 1) find out the activities of instilling environmentally caring character education through the adiwiyata program in class IX social studies students at SMPN 2 Kauman Tulungnagung, 2) find out strategies for instilling environmentally caring character education through the adiwiyata program in class IX social studies students at SMPN 2 Kauman Tulungnagung, 3) determine the supporting and inhibiting factors for instilling environmentally caring character education through the adiwiyata program in class IX social studies students at SMPN 2 Kauman Tulungnagung. The results obtained from the research show that 1) in class VII, through socialization on waste recognition, socialization on waste selection, and socialization on waste banks, in class VIII there has begun to be a strengthening of the character of caring for the environment with discipline through class pickets, clean Fridays, not throwing away litter, keeping the classroom and yard clean, responsibility by being willing to accept punishment if you make a mistake, in class IX they have become role models for their younger classmates by giving examples of planting trees and caring for trees, 2) the strategy is that the school takes part in regular competitions, and schools make rules relating to adiwiyata, if anyone violates them they will be punished, 3) supporting factors such as example, teacher strictness, school regulations. Meanwhile, inhibiting factors include school internals, student habits, students' lack of awareness of obeying the rules..

The destruction of the incesce customary forest in Pandumaan village and the conflict over customary land with PT Toba Pulp Lestari (TPL) have damaged the preservation of the incesce customary forest. This condition really needs attention and restoration. Frankincense trees are continuously cut down by the company. Frankincense trees and other natural wood in the forest are cleared using a clear-cutting system and the logging areas are immediately planted by PT.TPL. The research method in this study uses qualitative descriptive analysis research methods. The author will conduct a special investigation regarding ecological restoration proposed by Van Wearen. Qualitative research in data collection is carried out using primary data sources, and data collection techniques will look for literature reviews, books, news and journals by collecting data from various literature. Restoring customary forests is also healing God's creation which has been damaged by humans. Understanding of ecological restoration as a basis for restoring the traditional incesce forest in Pandumaan village. The traditional forest of Pandumaan Village is a beautiful creation of God that should be protected and preserved.

Brebeg Village has great potential for producing Siamese oranges. Large areas of land have the productivity to produce more oranges, oranges can be harvested on average 18 tons per year. The large potential of orange fruit can improve the economy of orange farmers, the government Department of Agriculture provides assistance in the form of training on the care and rejuvenation of orange trees as well as providing training on processing orange fruit products in collaboration with UNAIC. The problems faced by Gapoktan are a lack of knowledge regarding planting oranges, an irregular irrigation system. The problems faced by KWT are lack of knowledge regarding orange-based products, product management and marketing. The method used is coordinating with all partners, providing knowledge and skills in creating orange cultivation facilities and orange-based food processing, implementing and evaluating activities. The results of Kosabangsa's research are able to provide benefits for community empowerment in this case, namely improving the economy through empowering Siamese orange farmer groups to become functional food-based processed products in Brebeg Village, Jeruklegi District, Cilacap Regency.

Previously known as Alalak's hometown,  it is now divided into two villages, namely South Alalak village and  North Alalak village, located in North Banjarmasin District from 1970 to 2000. This area was famous  as a center for the wood processing industry for building materials, but is now starting to be abandoned. dim because wood is also rare. Wooden materials were replaced with concrete beams, steel and metal rafters. Alalak Village looks very shabby, the houses are built  mostly from irregular wood. However, there is something interesting in the Alalak River village which is visited by every  local/regional, national and international holiday tourist. They wanted to witness the Floating Market activity as a rare custom in the form of  buying and selling activities where sellers and buyers use boats or in the banjo term called catamarans.  This empty  village needs to be managed by building a riverside buffer area in the form of a long embankment with a width of 8.0 meters to 12.0 meters. The embankment material is planted with trees according to its purpose as protection  from wind, waves and sunlight. The length of the embankment as a Buffer Zone for  this building was built in  stages in accordance with  the budget set by  the Banjarmasin City River and Drainage Department  . Thinking about  the need to organize dense residential and slum areas on the banks of this river from literature, videos about Buffer Zones in earthquake and tsunami prone areas in Japan which implement these zones as places of effort to withstand very large tsunami waves.

This paper compares various machine learning models in their ability to predict financial trends, with a focus on time-series analysis. We evaluate models such as linear regression, decision trees, support vector machines, and deep learning, measuring their performance based on accuracy, computational cost, and interpretability. Our results reveal that deep learning models offer superior accuracy but are less interpretable, while simpler models, though less accurate, provide better insight into the underlying data. This research provides guidelines for selecting suitable models based on specific financial applications.

Agrosilvopastura as one of the branches of the agroforestry system is one of the land management systems that may be offered to overcome the problems arising from land conversion and simultaneously to overcome the problem of food availability. Manimbahoi and Sicini villages located in Parigi of Gowa Regency, where both villages have the potential of long standing agrosilvopastura system on brand lands, this research is to know (1) Management of agrosilvopastura (2) Level of diversity and value of agrosilvopastura ecological productivity. (3) Economic productivity resulting from agrosilvopastura management in meeting the daily needs and increasing the income of the local community. Methods of field survey research interviewed 30 respondents with purposive sampling and plot measuring 20X20 m to determine ecological and economical productivity and statistical analysis to determine the diversity ecological and economic income. The results of the research show the diversity in Manimbahoi village of 1.2 and 1.3 and 1.3, respectively, are at a low level of diversity. Sicini village, 1.7 pole 1.5 trees are of medium diversity, while 1, 3 stakes are at a low level of diversity while from the questionnaire found acceptance of Agrosilvopastura management of the economical productivity of Manimbahoi and Sicini Village of Rp. 11,112,000 every month, the total revenue of agriculture sector and Sicini Village farm is Rp. 6,446,000 every month. Forestry sector revenue does not exist, because farmers do not know the market network to sell forest products, farmers only use their own for household needs

The purpose of this research was to find out the Influence of the Composite of the Planting Media on the Growth of Angsana Plant and the composition of a good plant media for Angsana plantation. This research uses a single Design (DK) factor, with a medium dose treatment of M0 = Topsoil Each Polybag, M1 = Media 100 Gram Each Polybag, M2 = Media 200 Gram Each Polybag, M3 = Media 300 Gram Each Polybag. As a result, it will continue to be analyzed using the DMRT (Duncan Multiply Class Test) tasks 95% with the application of Statistics tools for Agriculture Research. The length of plant observation, for treatment with less control in each unit with a value of (A0) of 19.33cm, has no significant influence on the treatment of each unit. In addition to treatment (A1) 10 Treatment by (A3) 100.33cm and (A3) 40.33cm had a significant influence on treatment (A0) 19.33cm. of treatment A1, A3 and A2 showed that the influence of organic breastfeeding or animal waste on the supply of Angsana plants increased in length or height in each unit.

The occurrence of scorch during the production of flexible polyurethane is a significant issue that negatively impacts foam products' resilience and generally jeopardizes their integrity. The likelihood of foam product failure can be decreased by optimizing production variables based on machine learning algorithms used to predict the occurrence of scorch. Investigating technology is required because prevention is the best approach to dealing with this problem. Hence, machine learning algorithms were trained to predict the occurrence of scorch using the thermodynamic profile of polyurethane foam, which is made up of recorded production variables. A variety of heuristics algorithms were trained and assessed for how well they performed, namely XGBoost, Decision trees, Random Forest, K-nearest neighbors, Naive Bayes, Support Vector Machines, and Logistic Regression. The XGboost ensemble was found to perform best. It outperformed others with an accuracy of 98.3% (i.e., 0.983), followed by logistic regression, decision tree, random forest, K-nearest neighbors, and naïve Bayes, yielding a training accuracy of 88.1%, 66.7%, 84.2%, 87.5%, and 67.5% respectively. The XGBoost was finally used, yielding 2-distinct cases of non(occurrence) of scorch. Ensemble demonstrates that it is quite capable and is an effective way to predict the occurrence of scorch.

Introduction: Itch Leaves (Laportea decumana) is a medicinal plant that grows widely in eastern Indonesia, especially Maluku. This plant usually grows in humid areas, surrounded by or adjacent to sago trees, and near rivers. Local people usually use the leaves to treat various complaints such as pain, fatigue and joint and muscle pain, or as a muscle relaxant. Objective: of this research is to determine the secondary metabolite content of the ethanol extract of itchy leaves (Laportea decumana) and test the antibacterial activity of the ethanol extract of itchy leaves (Laportea decumana) against the growth of Staphylococcus aureus bacteria. Method: Used in this research was the Agar diffusion method with itchy leaf test material using concentrations of 60%, 65%, 70% and 75%, chloramphenicol as a positive control and distilled water as a negative control. Results: research shows that itchy leaf extract (Laportea decumana) at a concentration of 60% has an inhibition zone diameter of 15.5 mm, at a concentration of 65% the diameter of the inhibition zone is 20.5 mm, at a concentration of 70% it has 25 mm, while at a concentration of 75% it has The highest area of inhibition against Staphylococcus aureus is 29 mm. Itchy leaf extract (Laportea decumana) at a concentration of 75% has a strong inhibitory level against Staphylococcus aureus bacteria, namely with an inhibitory zone diameter of 29 mm. Conclusion: There are secondary metabolite compounds in the ethanol extract of itchy leaves (Laportea decumana) and antibacterial activity against the growth of Staphylococcus aureus bacteria.

This study aims to evaluate the application of a new methodology in investment decision-making, specifically using the regression tree approach on stock market indices. This approach is expected to enhance prediction accuracy and assist investors in making more informed investment decisions, especially in volatile and uncertain markets. Based on the literature review, regression trees offer advantages in identifying non-linear relationships between market variables that are often undetected by traditional models such as the Capital Asset Pricing Model (CAPM). Despite its advantages, the application of regression trees also faces challenges, such as overfitting issues and the need for large and complex data. This study concludes that regression trees can improve investment decision-making, but careful attention is required regarding model tuning and data quality.

The problem currently faced is that the amount of green open space that must be provided by the government has not yet reached 30% of the city area. The problems are as follows: 1) What are the responsibilities of the Semarang City Government in fulfilling green open space in urban areas based on Semarang City Regional Regulation Number 14 of 2011 concerning Semarang City Regional Spatial Planning for 2011-2031 as amended by the Semarang City Regional Regulation Number 5 of 2021? 2) What obstacles does the Semarang City Government face in fulfilling green open space in urban areas? 3) What solutions can the Semarang City Government implement to face obstacles in providing green open space in urban areas? This research uses a normative juridical approach (normative legal research). The data analysis used is a qualitative approach to secondary data as main data and primary data as supporting data. The research results show that the responsibility of the Semarang City Government in fulfilling green open space in urban areas is in accordance with the plan for the distribution of regional service facilities in each part of the city area (BWK). The obstacles faced by the Semarang City Government, namely: juridical obstacles, technical obstacles. Solutions that can be implemented by the Semarang City Government are: enforcing regulations with punishment regarding local building regulations, including the Basic Building Coefficient (KDB) for all buildings so that there is open space in each site which will be useful for planting trees or reforestation, propose an additional budget in the Expenditure Budget Activity Plan (RKAB) according to real needs as well as plans for additional city park development. The proposal for additions outside the routine budget is intended to maximize the implementation of medium and long term work programs. recruiting honorary/contract workers to help with the maintenance of existing city parks.    

Plants living in extreme environments have developed significant adaptations in their reproductive organs to survive and reproduce. These adaptations include structural and functional changes in reproductive organs to overcome harsh environmental challenges such as drought, extreme temperatures, and infertile soil conditions. Examples of these adaptations include cacti with spiny stems and drought-resistant flowers, Arctic willows with their fast flowering times, and pine trees with their vigorous growth and efficient pollen cones. This research explores the mechanisms of plant adaptation in extreme environments, discusses the implications for plant survival and reproduction, and identifies structural and functional changes in reproductive organs in response to environmental stress.