This study aimed to determine the results of total tannin content determination of sapodilla peel extract (Manilkara zapota) and the effectiveness of sapodilla peel extract (Manilkara zapota) as a Aedes aegypti mosquito larvicide. The method used was a quantitative descriptive with a purposive sampling method. The sample was ripe sapodilla (Manilkara zapota) peel. The determination of tannin content in sample extracts was analyzed using UV-Vis spectrophotometry. The extraction of tannins from sapodilla peel (Manilkara zapota) was carried out by maceration method using 70 % ethanol. Based on the research results it was found that the total content of sapodilla peel extract was 3,058 mg GAE/g extract. The results of the larvicide test showed that the sapodilla peel extract could be used as an Aedes aegypti larvicide with the most effective concentration in killing 50% of the larvae at a concentration of 20,000 ppm.

The ability that must be developed for elementary school students is numeracy literacy. The purpose of numeracy literacy skills is that students can develop other skills in solving various problems. In fact, the numeracy skills regarding fractions and literacy in students' storytelling abilities still do not meet the minimum completeness score. So we need learning media by utilizing the natural potential around the school so that it is easy to obtain. The media used is a collage of grains and puppets from used cardboard. The study used a class action method with grade 2 students as subjects. Data collection techniques were through observation, interviews, documentation, field notes, and tests. Data is processed through reduction, description, and verification. Meanwhile, the validation used data triangulation. The results showed that there was an increase in the ability to understand fractions in each cycle. Cycle I average value of 70 and completeness of 67%. While cycle II the average value was 78 with 89% completeness. In the ability to speak cycle I, the average value was 74 with 67% completeness. While cycle II the average value is 79 with 89% completeness

The prohibition of antibiotic growth promoters has an unavoidable impact on the intestinal environment of chickens. The biggest challenge to the chicken business has been the resurgence of necrotic enteritis, which inhibits growth and feed conversions in preclinical forms and produces high mortality in its clinical form. In terms of performance, welfare, and mortality, it has been one of the most prevalent and economically damaging bacteria infections in contemporary broiler flocks. A multi-factorial disease process known as necrotizing enteritis occurs when many co-factors are often needed to start a disease outbreak. Clostridium perfringens is now identified as the disease's etiological agent, it is unclear whether predisposing conditions cause excessive C. perfringens growth and subsequent development of the disease. Any condition that stresses broiler chicks could impair the intestinal ecosystem's balance and weaken the immune system, increasing the chance of an epidemic of NE. The management of poultry may have a significant impact on NE pathogenesis. For instance, feed limitation and vaccination against coccidiosis can guard against NE, but high stocking densities, excessive house temperatures, and feed mycotoxins can predispose to NE. Understanding the disease's pathophysiology and the linkages between dietary, nutritional, and viral factors and the emergence of necrotic enteritis become extremely crucial. In order to imply managerial methods at the farm level to minimize the occurrence and the severity of the disease in the post-antibiotic era, this is essential and crucial.

Nutmeg is one of the leading plantation commodities in East Seram Regency, Maluku Province, Indonesia. The nutmeg cultivation system in East Seram Regency is still conventional with an inefficient marketing system. The research aims to obtain data and information on the cultivation system and marketing chain of nutmeg in East Seram District. The research was carried out during the nutmeg harvest season in 2021 using a survey method. The research was conducted in three sub-districts in East Seram District, namely Tutuk Tolu Sub-District (Danama Village), Kian Darat Sub-District (Kileser and Rumfakar Villages), and Bula Barat Sub-District (Dreamland Hills Village). The research was carried out through structured interviews with nutmeg farmers and collectors. Respondents of nutmeg farmers were selected by purposive sampling as many as 20 nutmeg farmers so that there were a total of 80 respondents. The results of the study were informed that the nutmeg cultivation system in East Seram Regency was still conventional, especially in Tutuk Tolu and Kian Darat Districts. Nutmeg farmers have a weak bargaining position in the marketing system because prices are fully determined by collectors

Security is a state in which people or things feel safe from ominous or unsettling hazards, which will then cause them to feel at ease and comfortable. There are many ways to achieve security, one of which is via utilizing and deploying technology. The use of security technology has advanced quickly in recent years, from low-tech to high-tech techniques. By using Arduino as a circuit controller to process input from a vibrating sensor and 4x4 keypad, output to a solenoid as a charity box lock, and a buzzer that serves as an alarm in case of theft, technological or automated methods can reduce charity box theft and also increase the security of charity box locks. The charity box security system tool is made to prevent the theft of charity boxes, which frequently happens in mosques. If someone tries to steal the charity box, an alarm will go off, and you need a pin that has been programmed on an Arduino Ide and stored in EEPROM to open the charity box cover, so this tool can stop charity box theft in mosques.

Machine learning algorithms have shown promise in predicting the likelihood of a patient developing a disease or condition. Early diagnosis of diseases such as cancer, diabetes, and cardiovascular diseases can improve the patient's outcomes and quality of life. In this paper, we review the current state of machine learning algorithms for disease prediction and discuss their potential applications in clinical practice. We start by discussing the types of data used for disease prediction, including clinical data, genetic data, and imaging data. We then review the different types of machine learning algorithms used for disease prediction, including logistic regression, decision trees, random forests, and deep learning. We discuss the advantages and limitations of each algorithm and provide examples of their applications in disease prediction. Next, we discuss the challenges associated with implementing machine learning algorithms in clinical practice, such as data privacy concerns and the need for high-quality data. We also discuss the ethical considerations associated with the use of machine learning algorithms for disease prediction. Finally, we highlight the potential benefits of using machine learning algorithms for disease prediction, including improved patient outcomes, reduced healthcare costs, and personalized medicine. We conclude that machine learning algorithms have the potential to revolutionize disease prediction and early diagnosis, but further research is needed to address the challenges associated with their implementation in clinical practice.

The purpose of this research is to examine how humor leadership styles affect innovation and productivity in Pakistan's mobile telecommunications industry in the south Punjab area. It examines how emotional intelligence may be used by leaders to boost organisational performance. This research demonstrates the impact that emotional intelligence has on innovation and productivity in the telecommunications industry in this area. This research uses information from a highly regarded mobile telecommunications industry in the South Punjab area of Pakistan. This article explores a variety of perspectives on leadership. In various settings, these theories argue, leaders act in certain ways. For them, the ultimate success of their businesses depends on continuing the current trend of development and productivity. This research also discusses the many leadership styles used by successful business owners and managers to foster an environment where innovation and productivity thrive. The information for this research was gathered by use of questionnaires. The study's statistical analysis and findings corroborate the link between hilarious leadership and employee innovation, which in turn boosts organisational effectiveness. Humorous leadership is seen to have a beneficial influence on employees' ability to think beyond the box. A leader should keep the office lighthearted to foster an environment conducive to innovation. KEYWORDS: Organizational effectiveness, emotional acuity, self-defeating humour, self-enhancing comedy, mobile communications, and staff creativity are all boosted by humour that fosters social connections and competition.

Due to their low density and inherent thermal conductivity in compared to metals or metal oxides, carbon nanostructures among other nanoparticles exhibit better thermal conductivity. The ability of graphene Nano fluids to transmit heat has been studied in this work through a review of the findings of several studies. The current techniques for making graphene nanofluids have been summarized, along with several characteristics including viscosity, concentration, particle size, and temperature that have an impact on thermal conductivity. The convective heat transfer capabilities of graphene nanofluids have also been subjected to a careful analysis. The study shown that employing graphene nanofluids as a working fluid through a tube channel can improve heat transfer with considerable results. There hasn't been any research on the effects of graphene Nano fluids on facing steps and corrugated surfaces, according to the literature.

Due to the anisotropic, heterogeneous structure, and advanced mechanical properties of these materials combined with the size effects in micromachining, micromachining of nanocomposites is thought to be a challenging operation. In terms of high cutting force, poor surface quality, and rapid tool wear, it results in worse machinability. The first of these two parts of this review paper will provide a thorough overview of the mechanical characteristics of diverse nanocomposites, while the second part will concentrate on the micro-machinability of these nanocomposite materials.