This study aims to assess the optimization of organic fertilizer in plant growth kale (Ipomea sp.) using a hydroponic system. The research method used is a complete random design of 2 factorial. The first factor is the concentration of POC which consists of 3 levels of treatment, namely K1 = 100 ml POC + 1 L of water. K2 = 200 ml of POC + 2 L of water. K3= 300 ml of POC + 3 L of water. The second factor is the frequency of administration of POC (W) which consists of 3 levels of treatment W1 = every 2 days W2 = every 4 days, W3 = every 6 days. So there are 9 combinations, namely: K1W1, K1W2, K1W3, K2W1, K2W2, K2W3, K3W1, K3W2, K3W3 between treatments with repeated 3 times so that a total of 27 trials. The measured parameters include temperature, plant height, number of leaves and Root Length. The results showed that the interaction occurred at the final temperature, plant height: 21 HST 28 HST, number of leaves: 7 HST, 14 HST ,21 HST and 28 HST and Root Length. The frequency of POC using banana stems with a time of 2 days was able to increase, plant height 21 HST, 28 HST, number of leaves 7 HST,14 HST,21 HST,28 HST, Root Length, while at a frequency of 4 days was able to increase the growth of kale plants in the late afternoon temperature parameters. At a frequency treatment once every 6 days is able to increase the final temperature. Concentration of POC using banana stem with a dose of 100 ml POC +1 L of Water, able to increase plant height 21 HST and 28 HST, the number of leaves 7 HST, 14 HST,21 HST,28 HST, Root Length. This research is expected to contribute to sustainable agricultural practices and the development of efficient hydroponic systems.

Fertilizer is an important factor in increasing the growth and yield of chili plants (Capsicum annuum L.). The selection of the right type of fertilizer greatly determines productivity and environmental sustainability in the long term. This study aims to analyze the differences between chemical fertilizers and organic fertilizers in chili plant cultivation, including plant growth, yields, and their impact on soil fertility. The method used is a literature review by examining various previous studies that discuss the effectiveness of both types of fertilizers. The results of the analysis show that chemical fertilizers provide faster growth and higher yields in the short term because their nutrients are more easily absorbed by plants. However, excessive use can cause soil degradation, decreased organic matter content, and environmental pollution. In contrast, organic fertilizers work more slowly, but are able to increase soil fertility, improve soil structure, and support the balance of agricultural ecosystems in the long term. The combination of chemical and organic fertilizers has proven to be the best strategy in increasing chili productivity while maintaining soil health. Therefore, balanced fertilization with the right dose is highly recommended to ensure optimal harvest results without damaging the environment.

Soil microorganisms have an important role in improving soil health and supporting sustainable organic agriculture. They contribute to the decomposition of organic matter, management of nutrient cycles, control of pathogens, and improvement of soil structure. This research explores the role of microorganisms, such as bacteria, mycorrhizal fungi, and actinobacteria, in supporting soil fertility by increasing the availability of nitrogen, phosphorus, and potassium for plants, as well as improving soil quality by increasing water retention capacity and reducing erosion. These microorganisms also act as biocontrol agents that inhibit pathogens, thereby reducing the need for chemical pesticides. However, managing soil microorganisms faces major challenges due to environmentally unfriendly agricultural practices, such as the use of pesticides and chemical fertilizers. This research emphasizes the importance of implementing sustainable agricultural principles to conserve soil microorganisms and maintain the health of the soil ecosystem as a whole. This study aims to provide insight into the role of soil microorganisms in increasing organic agricultural yields and recommend more effective and environmentally friendly management. These findings are expected to support the development of more productive and sustainable organic agriculture.
 

Fractions and decimals are basic mathematical concepts that have an important role in various aspects of daily life. This article discusses how fractions and decimals are used in daily activities such as measuring, calculating, and carrying out financial transactions. For example, in cooking, fractions are used to measure food ingredients, while decimals often appear in weight and length measurements. In economic transactions, decimals are key in rounding numbers and calculating prices. This article also explains the importance of understanding conversions between fractions and decimals to make decision making easier, both in personal and professional contexts. By providing applicable examples, it is hoped that this discussion can increase appreciation of the role of fractions and decimals in real life and encourage deeper mastery of these concepts.

Organic farming has increasingly become a preferred choice in sustainable agricultural systems due to its significant benefits for environmental balance and quality. One of the key elements in organic farming is soil microorganisms, which play a crucial role in enhancing soil fertility and supporting plant health. Soil microorganisms, such as nitrogen-fixing bacteria, phosphate-solubilizing microbes, mycorrhiza, and organic matter decomposers, contribute significantly to fertilization efficiency and nutrient availability, as well as improving plant resistance to pathogens. The utilization of soil microorganisms as biofertilizers can reduce dependency on chemical fertilizers, mitigate environmental pollution, and increase agricultural productivity sustainably. Furthermore, soil microorganisms can improve soil structure, extend root longevity, and stimulate plant growth. The selection of appropriate microorganisms according to soil conditions and intended use is essential to maximize their benefits. Therefore, the application of soil fertility-promoting microorganisms as part of sustainable agricultural technology holds great potential to enhance environmentally friendly and efficient agricultural outcomes.

Indonesian people mostly tend to ignore health, especially dengue fever because the symptoms that arise are similar to common fever, this causes people with common fever symptoms to be reluctant to see a doctor. This study aims to help the public recognize the symptoms of dengue fever early by using the implementation of the fuzzy method in the dengue fever disease diagnosis system that uses specific datasets as a reference. Mamdani's fuzzy method, which is based on linguistic frameworks and fuzzy concepts, allows for the management of knowledge from experts for intuitive decision-making. The test results using the Confusion Matrix, the system showed an accuracy of 92.8%, an average precision of 90.6%, a recall of 95.8%, and an F1-Score of 92.6%, with an effectiveness value of 100%. This study proves that the system is able to provide information about dengue fever, diagnose based on symptoms, and offer solutions for its treatment.

The University of Jambi (UNJA) currently manages the Single Tuition Fee (UKT) manually using Microsoft Excel, which causes various problems such as the length of the UKT determination process, data duplication, and difficulty in accessing the UKT determination history by the leadership.This research aims to develop UKT management features on the UNJA registration system to increase the effectiveness and automation of the UKT management process. System development is carried out using the Star Life Cycle Model method by implementing the features of the student UKT program proposal and uploading the required files. The research produced a prototype of a web-based registration system with a UKT Management feature that allows the process of determining and submitting a reduction / exemption of UKT to be carried out systematically. The implementation of this system is expected to overcome problems in managing UKT at UNJA such as duplication of UKT reduction which is detrimental to the institution in terms of finance.

The context Socio Scientific Issue (SSI) for learning is not only a global issue. Local environmental problems have a higher relevance to students' knowledge in learning. This study aims to analyze the potential and impact of crab peelings household industry waste in Rembang Regency and its potential as a SSI context in Science Learning. A descriptive qualitative research method was used in this study. Data collection was conducted using interviews, observation, and literature study. The results showed that the waste of the crab peeling has the potential to be utilized, including as an ingredient for making petis, natural food flavors, sources of calcium and phosphorus in food, ingredients for making organic fertilizers, corrosion bio inhibitors, fish and shrimp feed, metal adsorbents, food preservatives. Crab waste that is not managed properly harms the environment and society including odor contamination, contamination of groundwater and surface water, and as a breeding ground for flies and bacteria which has a serious impact on public health. The environmental problems caused by the waste from the crab peeling household industry in Rembang Regency are controversial social problems, with no immediate solution and require consideration of various factors, such as moral, ethical, cultural, traditional, economic, political, and environmental, and require scientific understanding and community agreement for resolution. Therefore, the study of this matter has the potential to be raised as an SSI context in science learning.

Purpose: This study aims to improve brain tumor detection by integrating Fuzzy Logic with K-folds validation to enhance classification accuracy and robustness. The research addresses the challenge of distinguishing between normal and abnormal brain MRI images.
Methods: This study utilized a public dataset from Kaggle comprising 2,660 MRI images, initially categorized into four classes: Glioma, Meningioma, Pituitary, and No Tumor. For the study, Glioma, Meningioma, and Pituitary were combined into one abnormal label, resulting in two classes: Normal and Abnormal. The methodology involved pre-processing the images, applying Fuzzy Logic with K-folds validation (K=3), and evaluating the model’s performance using single prediction tests.
Result: The proposed approach achieved an exceptional accuracy of 99.88% during the K-folds validation process. The model demonstrated strong performance across all test samples, accurately classifying both normal and abnormal cases, with true positive results in single prediction tests.
Novelty: This study introduces a novel combination of Fuzzy Logic with K-folds validation, demonstrating a significant improvement in classification accuracy compared to existing methods. The integration of these techniques offers a robust framework for brain tumor detection, enhancing diagnostic precision and addressing the challenge of distinguishing between various tumor types in MRI images.

This research aims to analyze and determine the causes of teenagers dropping out of school at the age of 15 years and over in Waioti Village. This research is descriptive in nature. Based on the implementation method, this research is classified as survey research. In survey research, samples are taken from one population and a list of questions is used as a data collection tool. The survey research method was used because not all members of the population were used as examples or samples, so only some members of the population were used as samples. The sampling technique in this research used purposive random sampling. The population in this study were families whose teenagers had dropped out of school in Waioti sub-district. Based on the results of the interviews and discussion above, it can be concluded that teenagers drop out of school in Waioti sub-district due to several factors. Among the factors that cause teenagers to drop out of school are 1) economic and family factors, these two factors greatly influence teenagers' problems in finding work because financial limitations in the family and instability in the family environment will cause teenagers to drop out of school. 2) educational distance greatly influences the causal factors. teenagers dropping out of school, 3) inadequate educational facilities which prevent teenagers from continuing to a higher level.