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This study aims to analyze the use of Bloom's Taxonomy in identifying the difficulty level of questions in mathematics in elementary schools. Bloom's taxonomy is a classification framework used to classify learning objectives into six different levels, namely knowledge, understanding, application, analysis, synthesis, and evaluation. The research subjects were 15 students in class V at SDN Karet 2, Tangerang Regency. The research method used was content analysis, in which questions in mathematics textbooks for elementary schools were analyzed based on Bloom's Taxonomy categories. The data collected included the difficulty level of the questions based on Bloom's taxonomy and the distribution of the difficulty levels of the questions in mathematics textbooks. The results showed that the level of difficulty of the questions in mathematics in elementary schools varied and could be classified based on Bloom's taxonomy. Most of the items focus on levels of knowledge and understanding, with a few items testing students' abilities to apply, analyze, synthesize, and evaluate mathematical concepts. This shows that there is a tendency to emphasize understanding concepts rather than applying concepts in learning mathematics in elementary schools.

The work of farmers is prone to the risk of health problems such as pain in the joints and fatigue. The research problem is that farmers complain of rapid fatigue, so the purpose of the study is to determine the physiological workload on rice farmers when planting rice and determine the best time for farmers. Methods used are Cardiovascular Load (%CVL) and Energy Consumption to determine the weight of the workload of farmers, and rest time to determine the length of rest. Results and discussion, %CVL is 7 people with action no fatigue and 46 people with action needed improvement. Energy consumption is the smallest percentage of 4.14 kcal / minute with a mild classification and the largest percentage of 6.14 kcal / minute with a moderate classification. In the second measurement, the smallest percentage was 4.49 kcal/min with a mild classification, and the largest percentage was 6.90 kcal/min with a moderate classification. In the third measurement, the smallest percentage was 3.96 kcal/min with a mild classification, and the largest percentage was 6.39 kcal/min with a moderate classification. The smallest rest time was 12.65 minutes and the largest rest time was 120.39 minutes. In conclusion, the mean %CVL was 13.21% with no fatigue, 86.79% with improvement needed. Average energy consumption with mild classification with a percentage of 4.21% and moderate classification with a percentage of 6.26%. The smallest rest time is 12.65 minutes while the largest is 120.39 minutes

This study aims to determine the effect of organizational capital on the firm life cycle. The sample used is a manufacturing company listed on the Indonesia Stock Exchange for the 2009-2017 period, with a total of 580 observations of data from 116 companies and using a purposive sampling method. This study uses the independent variable organization capital which is proxied by OC/TA and the dependent variable company life cycle which is proxied by the dummy life cycle classification based on cash flow, retained earnings to total assets, and retained earnings to total equity. In addition, the control variables used are company size, market-to-book ratio, leverage, return on equity, company sales growth, capital expenditure, and asset turnover ratio. The analysis technique used is multinomial logistic regression. The results showed that organizational capital has a significant effect on the firm life cycle, where companies with high organizational capital are in the introduction and decline stages, while companies with low organizational capital are in the growth and maturity stages. Development requires quality human resources (HR). This human resource can act as a factor of labor production that can master technology so as to increase economic productivity. To achieve quality human resources requires the formation of human capital (human capital). The formation of this human capital is a way to obtain a number of people who have strong characters who can be used as important capital in development. This character can be in the form of level of expertise and level of community education. The concept of human capital investment that supports economic growth has existed since the days of Adam Smith (1776), Heinrich Von Thunen (1875) and other classical theorists before the 19th century who emphasized the importance of investment. human skills. Schultz (1961) and Deninson (1962) then showed that the development of the education sector with human resources as its core focus has contributed directly to a country's economic growth, through increasing the skills and productive capabilities of the workforce.  These findings and perspectives have stimulated the interest of a number of experts to research the economic value of education (Nurulpaik, 2005). Human capital is a stock of productive abilities and knowledge found in society. Alfred Marshal once said "the most valuable of all capital is that invested in human beings" (Becker, 1975). In this case human capital is a long-term investment in the development of human resources to increase productivity. The importance of human capital is that the knowledge that exists in human resources is the driving base in increasing productivity. Human capital can be distinguished from human resources management, but can also synergize. Human capital views humans more as intangible assets and human resources management views humans as costs or costs that are detrimental to the company. The concept of human capital emerged, due to a shift in the role of human resources. Human capital arises from the idea that humans are assets that have many advantages, namely human capabilities when used and disseminated will not decrease but increase both for the individual concerned and for the organization, humans are able to transform data into meaningful information. The concept of innovation has been continuously developed by a number of experts and institutions in the last 50 years. This is based on Resource Based Theory (Barney, 1991). In the perspective of Resource Based View (RBV), internal resources and the internal environment are the main keys for determining strategies to achieve high performance (Hitt et al., 2011). Resource Based Theory (RBT) focuses on the concept of attributes of excellence that are difficult to imitate as a source of superior performance and competitive advantage (Barney, 1991). Resources based theory is the company's resources as the main driver behind the company's performance and competitiveness. Based on this resources based theory, an organization can be assessed as a collection of physical resources, human resources, and organizational resources (Barney, 1991). Barney (1991) categorizes three types of resources: Physical capital resources (technology, plant and equipment) Human capital capital (training, experience, and insight), and Organizational resource capital (formal structure)

Abstract: This step-by-step guide provides an overview of English phonology, exploring its definition, scope, and the relationship between phonetics and phonology. It delves into the classification and articulation of English sounds, covering aspects such as place and manner of articulation. The guide emphasizes the use of the International Phonetic Alphabet (IPA) as a standardized system for representing sounds, and provides examples of English vowels and consonants represented by IPA symbols. Understanding English phonology enables learners to improve their pronunciation accuracy, comprehend spoken English more effectively, and enhance their overall communication skills.

The purpose of this research is to provide understanding of English phonology to the learners who are new with English phonology. The method used in this research is literature review. This discussion explores the study of English sounds, known as English phonology. It covers important topics for beginners, such as understanding the basic units of sounds (phonemes) and their variations (allophones). The chat also introduces processes like assimilation, dissimilation, and deletion that affect how sounds change in spoken English. Additionally, it explains vowel and consonant reduction, which impact how certain sounds are pronounced. Lastly, the chat provides an overview of classifying consonant and vowel sounds based on their characteristics. By learning about these aspects, beginners can improve their pronunciation, understand different sound patterns, and enhance their overall communication skills in English.

Morphology is a field of linguistics that studies morphemes and their combinations. Morphological objects are things related to word forms or word structures in language. In the study of morphology, there is a closed class and open class word classification. One of the closed class word classifications is conjunctions. Conjunctions are used to connect two or more clauses, both of which have a syntactic structure or have a different syntactic structure. The types of conjunctions include: coordinating conjunctions, subordinating conjunctions, and conjunctions between sentences. The choice of topics in this study was based on the finding of closed conjunction classes in the poetry anthology Sebatas Angan Rindu by Fina Af'idatussofa and Upik Lestari. The purpose of this research is to analyze and obtain a clear picture of closed classes of conjunctions, such as coordinating conjunctions, subordinating conjunctions, and conjunctions between sentences contained in the poetry anthology Sebatas Angan Rindu by Fina Af'idatussofa and Upik Lestari. This study used descriptive qualitative method. The data source used is the poetry anthology Sebatas Angan Rindu by Fina Af'idatussofa and Upik Lestari published by the QT Millennials Library in 2006 which can be accessed via the link https://aseranikurdi.files.wordpress.com/2011/09/antologi-puisi-sebatas-angan-rindu.pdf. The sub-focus in this study is the closed class of conjunctions consisting of coordinating conjunctions, subordinating conjunctions, and conjunctions between sentences.   Keywords: Morphology, closed class conjunctions and poetry

This study aims to identify and describe the children's cartoon show "Rabbids Invasion" on GTV through the point of view of the 2012 KPI Broadcasting Behavior Guidelines and Broadcasting Program Standards (P3SPS). The theories used in this research are broadcasting theory, program theory, child theory. -children, and the theory of P3SPS.This study uses a qualitative method by collecting information about the status of a symptom, namely the state of the symptoms according to what they were at the time the research was conducted. Data collection is done by observing and documenting. Data analysis was carried out by means of data reduction, data presentation and drawing conclusions.The results of this study indicate that there was an alleged violation of the children's cartoon program "Rabbids Invasion" on GTV on August 6 2019 when reviewed through P3SPS. The alleged offenses included assaulting a rabbit, dropping a bowling ball from top to bottom and hitting it on the head, throwing a cactus pot in the face with a racket and throwing a tart.The broadcast will have an impact on changing the attitudes and behavior of children who watch it, especially in terms of imitation and encourage youth to learn about inappropriate behavior and/or justify such inappropriate behavior as commonplace in everyday life. So Siarab programs in Indonesia must comply with the broadcasting law and P3SPS must be a guideline for/in making television program production so as to produce shows that are appropriate according to the existing classification, and are beneficial to the people of Indonesia.

The failure of the digital marketing campaign at PT Lentera Alam Nusantara is the author's background for researching the best solutions before designing a digital marketing strategy. This research journal aims to measure and prove how important customer classification is as a basis for designing digital marketing strategies in the hope of minimizing campaign failures. The research was conducted descriptively using a qualitative approach to gather information and provide a detailed description of the phenomenon. The research findings prove that there is a significant positive influence on the results of strategy implementation after customer classification. Thus it can be interpreted that the author's hypothesis about the importance of customer classification before designing a digital marketing strategy at PT Lentera Alam Nusantara can be proven by the results of the research.

The figurative language style of the short story 11:11 in the Winged Dusk chapter is the main study in this article. The short story Senja Berwing chapter 11:11 presents inner contact between characters and imagination and contains many positive moral messages and messages of humanity using beautiful language so that it attracts readers to read it. The purpose of this study is to find out what figurative language style is used by the writer and what meaning he wants to convey to the reader. Data collection techniques used in this study were (1) reading techniques, (2) listening techniques, and (3) note-taking techniques. Data analysis techniques are (1) identification, (2) classification, (3) interpretation, (4) description. This research study is focused on the analysis of figurative language style in the short story Senja Berwing chapter 11:11 by Fiersa Besari. The results of the research show that the figurative language style used in the short story 11:11 chapter of the Winged Senja by Fiersa Besari is simile, personification, and allegory. The type of figurative language that is mostly used in the Winged Twilight Chapter is personification figurative language.

Diseases of the heart and blood vessels, such as coronary artery disease (heart attack), cerebrovascular disease (stroke), heart failure (HF), and other pathologies, are collectively referred to as cardiovascular disease (CVD). Globally, around 17 million people a year die from cardiovascular disease, with mortality increasing significantly for the first time in 50 years. Has performed an analysis of the performance of the selection algorithm with case studies predicting the determination of the customer's risk profile. Data mining is the extraction of previously unknown or previously hidden patterns from large databases or data warehouses. This study compares data mining classification models Nave Bayes, Decision Tree, Random Forest, KNN, and SVM to find the most effective model for classifying customer profile data. Later, the most accurate model will be proposed as a replacement model for forecasting the customer's risk profile. As a result, the accuracy value obtained is 82.93% and AUC is 0.896. Then accuracy testing is carried out using the rapidminer application. Testing on rapidminer was carried out with the highest accuracy obtained with an accuracy value of 86.64% and an AUC of 0.880.  

Along with the rapid development of information technology, customer interaction with BCA digitally has also increased. This is followed by the risk of technology crime, so BCA continues to improve its information technology security system. The development of BCA's data security system is carried out with the aim of protecting data security and ensuring information technology systems are always ready to serve customer transactions, including preventing and anticipating cybercrimes and potential fraud. National vital objects have an important role in the life of the nation and state, both in terms of economic, political, social, cultural, defense, and security aspects. National vital objects also have a quite strategic role in national development. Data Loss Prevention (DLP) is a data security strategy implemented by BCA on an ongoing basis to increase the security of important electronic information from information theft or access by unauthorized parties. To ensure security in accessing BCA's internal applications that are connected to the internet, BCA applies additional security in the form of two-factor authentication to ensure access to the application is carried out by the right person. BCA has also used a data classification solution to ensure that every piece of data in the company is classified according to the level of data confidentiality.

This study aims to determine the ability of junior high school students in translating SPLDV word problems into mathematical models and their solutions. Especially in the matter of two-variable linear equation systems (SPLDV). This type of research is qualitative. The approach used is the phenomenological approach. Data collection using test techniques, interviews, field notes, and documentation. The research subjects took 2 students with high category classification from class VIII B of SMP Negeri 2 Puring which originated from the determination of high, medium and low group boundaries. The group limit is high if the Odd PAS value is > (x ̅ + SD), the group limit is medium if (x ̅ - SD) < Odd PAS value < (x ̅ + SD), while the group limit is low if the Odd PAS value < (x ̅ + SD). Data analysis techniques include data reduction, data presentation, and conclusions. Checking the validity of the data uses credibility and confirmability tests. The results of this study indicate that the subject has a high ability to translate because he is able to understand the problem (write down what is known and asked), is able to solve problems (make examples and mathematical models), is able to take steps to solve problems. But did not evaluate or check again. Students who have high translation skills experience a few mistakes, namely not carrying out the evaluation step or checking again.

The Mediterranean region, in particular Algeria, is experiencing serious challenges due to the increased opportunities for forest fires. Since the mid-1970s, there has been a 50% reduction in rainfall over northwestern Algeria, making northern Algeria particularly vulnerable to the problem for many years. More than 37,000 hectares of sensitive forest are lost every year due to this extreme drought. The findings of this study, which assessed the hazard of forest fires from 2006 to 2019, agree with those of Bentchakal,Chibane (2022), who examined the problems caused by forest fires in the region. The aim of this investigation is to gain a better understanding of the problems caused by local forest fires and to use that expertise to provide insight for the authors and readers of this report. The report was written by presenting the findings of observations made using the Rapid Miner classification approach, which includes the categorization of areas affected by forest fires. Data is collected using a variety of algorithmic techniques, including Naive Bayes, KNN, and decision trees, which are used as tests of data to identify the most accurate results. The findings show that the Decision Tree technique has the best accuracy of 86.49% and provides a thorough explanation of the data.

The Toba Batak tribe has a distinctive fabric known as ulos. Toba Batak ulos have types depending on their uses. But in the modern era, especially among urban communities, very few people know the types and uses. Motivated by the success of Convolutional Neural Network (CNN) algorithm in image classification, this study will conduct a learning-based approach to classify 5 types of Toba Batak ulos (Ragi Hidup, Ragi Hotang, Mangiring, Sadum, and Sibolang). The process starts from data collection, data analysis, model building, model training, and confusion matrix. The dataset used is 1000 images with 80% training data, 10% valid data, and 10% test data. Convolution, maxpooling, dropout, flatten, and fully connected are the 5 layers forming the CNN model. The optimizer used is Adam with a learning rate of 0.001. The model generated in this study can detect Toba Batak ulos images at an accuracy rate of 94.00%.    

Church planting is not a new thing in the journey of Christianity and has an important role to play in the continuation of God's work on earth. Church planting is one aspect that plays an important role in the growth of the church as well as something that the church must do, not only the church, but all believers, considering this duty and responsibility is contained in the Great Commission. David Garrison suggests 4 classifications of church planting, namely rapidly multiplying, indigenous, church planting and in tribal groups. The segmentation of church planting is aimed at both unbelievers and believers who are immature in faith and unshepherded. In new church planting, the above are important factors that will help new churches grow and develop well. However, the sociological factors seen in new church planting vary depending on the case being analyzed, but God does not ignore the physical needs of people. When Jesus ministered in the world, He performed many social acts, such as healing diseases and feeding people. Evangelism is not one of our efforts to separate them from their culture, we still live culturally and maintain that culture, but our job is to straighten their path from the wrong to the right path, namely the Lord Jesus Christ who is the Savior of mankind. We must keep and preserve the culture, but it is the wrong way and understanding that we must correct.

Archiving is a process or activity that starts from creation, receipt, collection, regulation, control, maintenance, care, and storage as well as evaluation according to a certain predetermined system. As time goes by and also the many activities that have been carried out at PT Pelindo IV (Persero) Balikpapan Branch, more and more archives have been created. The purpose of this study was to find out the causes of archive management and to find out the efforts made in overcoming obstacles to archive management in the HR and general division at PT Pelindo IV (Persero) Balikpapan Branch. The type of research used in this research is descriptive research with a qualitative approach in which data is collected through observations, interviews, and documentation. Based on the research results, several things can be improved for more efficiency and effectiveness in archiving 1) What can be improved is the system currently used. Pelindo IV (Persero) Balikpapan Branch, namely the system regarding this is quite good, it's just that in recovering it is still difficult to find because letters are in other classification sections such as payment archives in the information system classification. 2) Tools and equipment used in managing archives are wooden and glass cabinets. The arrangement is still disorganized because the order folders are just piled up. The archive storage space is too small so many archives accumulate and cannot be put in the cupboard. 3) There are still many archives whose duration of archive destruction is too long, considering the number of incoming documents or document production is quite high and quite a lot because archives that are old and no longer needed will be destroyed within a yearly period.

Plant classification exists to simplify and clarify the level of kinship and the type of treatment in plant distribution, at the taxonomic level there are family categories, this family in plant taxonomy is a classification system that groups plants based on similarities between their morphology, characteristics, morphology. Euphorbiaceae is a family with flower characteristics hidden in cyathia structures (inflorencia), sap and various sizes. This research is located in Cipeundeuy Village, Bantarujeg District, Majalengka Regency with quantitative analysis using the exploration method in the residents' yards in Cipeundeuy Village. The results of the study found 1 individual of Ephorbia milli, 1 individual of Euphorbia hirta, 1 individual of Pedilanthus tithymaloides, 4 individuals of Acalypha siamensis and 8 individuals of Manihot esculenta from the Euphorbiacea family. This plant is used as an ornamental plant and can be used as herbal medicine because it has chemical compounds that are antiseptic, anti-inflammatory and antibacterial because it contains tannins, flavonoids and saponins which are effective for healing wounds and several other diseases. The purpose of this research is to inventory and identify plants in Cipeundeuy Village so that the systematics of plants in this area can be known.

Technological developments today make it easy for people to use social media as a means of expressing opinions, including Twitter. The case study taken by the researcher is the sentiment towards the performance of the mayor of Medan. The case was taken because it was widely discussed by Indonesian people, especially the city of Medan on Twitter social media. One of the uses of this research is to find out the trend of Twitter user comments on the performance of the mayor of Medan by conducting a sentiment analysis. Sentiment will be classified as positive, negative and neutral. The algorithm used in sentiment analysis is Naïve Bayes. The stages in conducting sentiment analysis in this study are data preprocessing, data processing, classification, and evaluation. The results of this study are using the SMOTE method, the training and testing ratio is 80:20 because it has the highest accuracy, which is 78% compared to other ratios. The prediction results resulting from the classification turned out to be more dominant towards neutral labels. In addition to classifying for sentiment analysis, this study also measures the performance of the model created. The results showed that the Naïve Bayes algorithm has a precision value of 78%, a recall of 78%, and an f1-score of 77%.

The aim of this research is (1) to describe the factors causing code switching in the Drama Series Scandal 2: Sex, Love, and Revenge. (2) describe the function of using code switching in the Drama Series Scandal 2: Sex, Love, and Revenge. This research is qualitative descriptive research. The subject of this research is speech events that occurred in the Drama Series Scandal 2: Sex, Love, and Revenge. The object of this research is data containing code switching in speech events in the Drama Series Scandal 2: Sex, Love, and Revenge. The technique used in collecting data uses non-participating listening and note-taking techniques. Data were analyzed using qualitative descriptive methods with data transcription and data classification steps. The validity of the data is obtained through continuous data searching according to the facts, persistent observation techniques, and triangulation. The results of this study show two conclusions. First, there are five factors that cause code switching in Drama Series Scandal 2: Sex, Love, and Revenge, namely the speaker, the interlocutor, the presence of a third speaker, the subject of discussion, and to evoke a sense of humor, and simply to have agency. Second, there are five functions of code switching in Drama Series Scandal 2: Sex, Love, and Revenge, namely explaining, asking, reprimanding. Affirm and remind

The rapid growth of e-commerce in Indonesia has generated a massive and continuous volume of product reviews. This user-generated content is vital for business intelligence, yet its sheer scale makes manual analysis inefficient, subjective, and practically impossible. Automated sentiment analysis is therefore crucial for businesses to efficiently understand customer feedback and market perception. This research addresses this gap by implementing the Naïve Bayes Classifier (NBC) algorithm to automatically classify the sentiment of Indonesian-language e-commerce product reviews. This study utilized a dataset of 2,000 reviews collected from a major e-commerce platform's "Electronics" category. The data underwent critical text preprocessing stages (case folding, tokenizing, stopword removal, and stemming using the Sastrawi library) to handle the complexities of informal Indonesian text. The dataset was split using an 80/20 ratio, resulting in 1,600 training reviews and 400 testing reviews. Model performance was then evaluated using a Confusion Matrix, focusing on the key metrics of Accuracy, Precision, and Recall. The test results showed excellent performance, achieving an Accuracy of 90.00%, Precision of 91.93%, and Recall of 95.00%. These results demonstrate that the Naïve Bayes algorithm, when supported by robust preprocessing, is a highly effective, reliable, and computationally efficient method for this task, providing a valuable tool for e-commerce stakeholders.