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The method used in this research is a quantitative method and primary data sources. Meanwhile, to analyze the data obtained, instrument tests, classical assumption tests and hypothesis tests were used with the help of SPSS 24. Based on the results of the analysis, it can be concluded that the Work Environment variable has a partial effect on Employee Work Productivity. The statistical calculation results of the T test show that Tcount is 15.211, meanwhile the Ttable value = 2.04, so Tcount > Ttable and the significance value is 0.000 < 0.05. The results of this analysis accept the first hypothesis. This finding also strengthens the respondents' answers which show that every statement related to the work environment was responded to with good answers. PT Biringkassi Raya in carrying out its main tasks and functions always strives to improve its capabilities to achieve its planned goals. The work environment is the entire work facilities and infrastructure around employees who are doing work which can affect the work itself. Basically, the work environment is everything that is around workers and can influence them in carrying out their duties.

This study aims to analyze the relationship between environmental performance, environmental disclosure, and leverage on profitability in food and beverage companies listed on the Indonesia Stock Exchange (IDX) for the period 2019-2023. Profitability is measured using Return on Assets (ROA) and Return on Equity (ROE). The data used in this study were analyzed using IBM SPSS Statistics 22 with the Classical Assumption Test, Determination Coefficient Test, T test and F test to test the significance of the influence of independent variables on the dependent variable. The results of the T test show that environmental performance and leverage have a significant effect on profitability with a significance value <0.05, while environmental disclosure is .0.05 which means it is not significant. In addition, the F test shows that simultaneously, environmental performance, environmental disclosure, and leverage have a significant positive effect on profitability, with a significance value of 0.000 ˂ 0.05. Based on these results, the fourth hypothesis proposed in this study is accepted. This study provides implications that companies that pay attention to environmental performance and transparency in disclosing environmental information can increase their profitability, and proper leverage management also contributes to the company's financial sustainability. These findings are important for company management and investors to consider environmental sustainability aspects in strategic decision making.Keywords: Environmental Performance, Environmental Disclosure, Leverage, ProfitabilyThis study aims to analyze the relationship between environmental performance, environmental disclosure, and leverage on profitability in food and beverage companies listed on the Indonesia Stock Exchange (IDX) for the period 2019-2023. Profitability is measured using Return on Assets (ROA) and Return on Equity (ROE). The data used in this study were analyzed using IBM SPSS Statistics 22 with the Classical Assumption Test, Determination Coefficient Test, T test and F test to test the significance of the influence of independent variables on the dependent variable. The results of the T test show that environmental performance and leverage have a significant effect on profitability with a significance value <0.05, while environmental disclosure is .0.05 which means it is not significant. In addition, the F test shows that simultaneously, environmental performance, environmental disclosure, and leverage have a significant positive effect on profitability, with a significance value of 0.000 ˂ 0.05. Based on these results, the fourth hypothesis proposed in this study is accepted. This study provides implications that companies that pay attention to environmental performance and transparency in disclosing environmental information can increase their profitability, and proper leverage management also contributes to the company's financial sustainability. These findings are important for company management and investors to consider environmental sustainability aspects in strategic decision making.

The purpose of this study was to determine whether profitability, liquidity, and Leverage affect management performance. The population in this study was taken from consumer non-cyclicals issuers listed on the Indonesia Stock Exchange. The sampling technique used purposive sampling method and amounted to 90 samples. This study uses secondary data obtained from the official website of the Indonesia Stock Exchange, namely www.idx.co. Then using the Statistical Package for Sciene (SPSS) version 25 as a tool for analyzing. The hypothesis in this study was tested using descriptive statistical analysis, classical assumption test, multiple linear analysis test, and hypothesis testing. The conclusion of this study states that (1) profitability has no effect on management performance (2) liquidity has a positive effect on management performance (3) Leverage has a positive effect on management performance.

This research examines the influence of Auditor Experience, Training, and Understanding of the Code of Ethics on Audit Quality at Public Accounting Firms (KAP) in Bekasi. The dependent variable is Audit Quality, while the independent variable consists of Auditor Experience, Training and Understanding of the Code of Ethics.The research used a purposive sampling technique with a survey method, collecting primary data through a 1-5 Likert scale questionnaire. The research sample consisted of 101 respondents from 11 KAPs in Bekasi. Data were analyzed using SPSS version 26 with the Descriptive Statistical Analysis method, Validity and Reliability Test, Classical Assumption Test, Multiple Linear Regression Test, and Hypothesis Testing. The research results show that partially, Auditor Experience and Understanding of the Code of Ethics have a significant effect on Audit Quality, while Training does not have a significant effect. Simultaneously, these three variables have a significant effect on Audit Quality.

This study aims to determine the effect of financial compensation, work discipline, and burnout on employee performance at the Kilisuci Regional General Hospital in Kediri City. The research method used is a quantitative method with a descriptive approach. Data collection in this study was conducted by distributing questionnaires to employees of the Kilisuci Regional General Hospital in Kediri City and analyzed using the SPSS Version 25 application. The data analysis techniques used include Validity Test, Reliability Test, Classical Assumption Test, Multiple Linear Regression Analysis, t-Test, F Test, and R2 Coefficient of Determination Test. In the Validity Test, it was found that all question items (X1, X2, X3, and Y) had a significance value of 0.000 < 0.05, indicating that each variable was declared valid. Then in the Reliability Test, each variable was declared reliable because it had a Cronbach's Alpha value of > 0.60. Then in the t-Test, it was found that the financial compensation variable. and burn out simultaneously on employee performance at the Kilisuci Regional General Hospital, Kediri City.

This study aims to determine the effect of the application of multiplication board media in mathematics learning on students' understanding of multiplication concepts in grade IV of elementary school. This study uses a qualitative approach with a descriptive method conducted in several elementary schools. Data were collected through observation, interviews with teachers and students, and documentation of learning activities. The results of the study indicate that the use of multiplication board media can improve students' understanding of multiplication concepts. Students who initially had difficulty memorizing multiplication tables showed significant progress after using this media, as seen from their ability to work on multiplication problems faster and more accurately. In addition, the use of this media also increased student involvement and motivation in learning. Teachers reported that the multiplication board media made it easier for them to explain multiplication concepts in a more concrete and visual way, and increased student participation in class. Based on these results, it can be concluded that the application of multiplication board media in mathematics learning can be an effective alternative to improve students' understanding of multiplication material. This media not only makes mathematics learning more interesting, but also strengthens the basic concepts of mathematics taught in elementary school.

The proliferation of Internet of Things (IoT) devices has introduced significant security challenges, necessitating robust attack detection mechanisms. This study presents a comprehensive comparative analysis of ten supervised learning algorithms for IoT attack detection and classification, addressing the critical challenge of balancing detection accuracy with practical deployment constraints. Using the CICIoT2023 dataset, encompassing data from 105 IoT devices and 33 attack types, we evaluate Naive Bayes, Artificial Neural Networks (ANN), Logistic Regression (LR), k-NN, XGBoost, Random Forest (RF), LightGBM, GRU, LSTM, and CNN algorithms based on some performance metrics. The comparative test results show superior performance to the traditional ensemble approach, with RF achieving 99.29% accuracy and leading precision (82.30%), followed closely by XGBoost with 99.26% accuracy and 79.60% precision. Deep learning approaches also demonstrate strong capabilities, with CNN achieving 98.33% accuracy and 71.18% precision, though these metrics indicate ongoing challenges with class imbalance. The analysis of confusion matrices reveals varying success across different attack types, with some algorithms showing perfect detection rates for certain attacks while struggling with others. The study highlights a crucial distinction in IoT security: while high precision remains important, the potentially catastrophic impact of missed attacks necessitates equal attention to recall metrics, as evidenced by the varying recall rates across algorithms (RF: 72.19%, XGBoost: 71.69%, CNN: 64.72%). These findings provide vital insights for developing balanced, context-aware intrusion detection systems for IoT environments, emphasizing the need to consider performance metrics and practical deployment constraints.

The common problems faced by students include feeling bored, lacking concentration, and being unmotivated in learning due to the lack of collaboration among students and monotonous learning activities. Therefore, this study aims to implement ice-breaking techniques in Islamic Religious Education to improve students' learning outcomes. This research was conducted using Classroom Action Research (CAR) with two cycles, each consisting of two meetings. Each cycle followed four stages: Planning, Implementation, Observation, and Reflection. Data collection techniques included tests in the form of questions and non-test techniques such as interviews, observations, questionnaires, and documentation. Based on the results of the Classroom Action Research, it was concluded that the implementation of ice-breaking techniques in Islamic Religious Education positively influenced students' learning motivation, leading to improved learning outcomes among fifth-grade students at UPT SPF SD Inpres Perumnas 1 Makassar. The study results showed that in the pre-test, the students' average score was 68.9 (Low), with six students achieving mastery, resulting in a 30% mastery level (Low). In the first cycle, applying the ice-breaking technique to students' understanding of Islamic Religious Education resulted in an average test score of 79 (Moderate), with 13 students achieving mastery, reaching a 65% mastery level (Low). In the second cycle, the implementation of ice-breaking techniques led to an improvement in students' learning outcomes, with an average score of 89.6 (High), and 18 students achieving mastery, reaching a 90% mastery level (High). The success indicators in this study, using the Classroom Action Research (CAR) method, demonstrated an improvement in students' understanding, as evidenced by the increase in mastery learning percentages from the pre-test, first cycle, and second cycle, ultimately reaching 80% of the total number of fifth-grade students as the final learning achievement.

Advances in information and internet technologies have significantly transformed the business environment, including the financial sector. The COVID-19 pandemic has further accelerated this digital adoption, expanding the e-commerce industry and highlighting the necessity for secure online transactions. Credit Card Fraud Detection (CCFD) stands critical as the prevalence of fraudulent activities continues to rise with the increasing volume of online transactions. Traditional methods for detecting fraud, such as rule-based systems and basic machine learning models, tend to fail to keep pace with fraudsters' evolving tactics. This study proposes a novel ensemble deep learning-based approach that combines Convolutional Neural Networks (CNN), Gated Recurrent Units (GRU), and Multilayer Perceptron (MLP) with the Synthetic Minority Oversampling Technique and Edited Nearest Neighbors (SMOTE-ENN) to address class imbalance and improve detection accuracy. The methodology integrates CNN for feature extraction, GRU for sequential transaction analysis, and Multilayer Perceptron (MLP) as a meta-learner in a stacking framework. By leveraging SMOTE-ENN, the proposed approach enhances data balance and prevents overfitting. With synthetic data, the robustness and accuracy of the model have been improved, particularly in scenarios where fraudulent examples are scarce. The experiments conducted on real-world credit card transaction datasets have established that our approach outperforms existing methods, achieving higher metrics performance.

Analysis of the preliminary research phase as the basis for developing a biology practicum guide based on a scientific approach. The purpose of this study was to describe the initial research stage data obtained as a basis for developing teaching and learning materials based on research results that will be made in the future. The development model applied in this study is the Plomp model, which has reached the initial data investigation stage. Instruments for collecting data include interviews, observations, and questionnaires. The results of the student needs questionnaire revealed that students agreed that it was necessary to develop a practicum guide based on a scientific approach with a percentage of 94.73%. The teaching materials that have been used in learning are less effective so that students are less able to understand the subject matter. So it can be concluded that it is necessary to develop teaching materials for practicum guides based on a scientific approach on the material of the circulatory system and respiratory system in class XI SMAN 15 Pekanbaru.

spam is posting unsolicited messages or advertising on social media, particularly Twitter. These messages are normally designed to sell specific products and services or links. In this research, we developed a fuzzy control system to detect Arabic spam tweets based on deep learning with a large language model. Initially, we performed text cleaning and further transformed text into vectors with the help of AraGpt and AraBert. Subsequently, we employed a multi-layer perceptron network model in feature extraction of essential features. Finally, we adopted the fuzzy logic control system for classifying spam tweets using features filtered from deep networks. Employing the proposed Fuzzy logic control system provided nearly a 100% comparative to only utilizing the deep neural networks, which yielded an almost 99% throughput for both large language models Aragpt and Arabert, with a 100% F1 score for the Aragpt model and 99% for Arabert model respectively.

Pronunciation is one of the determiner aspects in English as it can change the meaning of the words and sentences. This research discusses the analysis of errors in the pronunciation of triphthongs in words and sentences in English. The research was aimed to know the types of triphthongs often mispronounced in the pronunciation of words and sentences in English among second semester students in class A of Speaking for workplace communication lecture at English study program of Madiun State Polytechnic. The quantitative were used after being collected from the assignments and pronunciation tests for several words and sentences containing triphthongs during the research. The research results are described in percentages. The diphthong errors that students often make are //aʊə /= 34.6%, /aɪə /= 31.8%, /ɔɪə /= 20%, /əʊə/= 9%, and /eɪə/= 4.6%. Errors that occurred in the classification of substitutions = 43.64%, insertions = 32.73%, and omissions = 23.63%. The errors occur due to the influence of inter-language and intra-language factors of the students.

The results of observations and research on November 06 2023 are about students' learning motivation in learning Indonesian using pantun board media. The research method used is a descriptive quantitative method and uses nominal questionnaire data which only contains simultaneous results and facts from the truth produced by the researcher. From the results of this research, the student data obtained was 23 (twenty three) students and it was found that 3 (three) of the 23 (twenty three) students in class IV of SD Negeri 101744 Klambir Village had low motivation and interest in learning in particular learning. Indonesian language. The aim of this research is to describe students' learning motivation in learning Indonesian in class IV. The method used in this research is descriptive quantitative research. Meanwhile, data collection techniques include observation, interviews, questionnaires and documentation. This process is carried out by collecting data directly at the research location. Next, the data analysis process was carried out on a nominal scale only. This research uses source triangulation techniques. From the results of data analysis, it is known that students' learning motivation in learning Indonesian in class IV of SD Negeri 101744 Klambir Village is still low, as can be seen from the low interest of students in learning Indonesian both in class and at home, as evidenced also by the results of the assessment of the distributed questionnaire data, which shows that some class IV students got grades that were less than expected, and this was due to several factors, namely 1). Self factor 2). Environmental factors 3). Family factors. The impact of the causes of low student learning motivation internally is due to a lack of motivation in their enthusiasm for learning and externally due to 1). Teacher performance 2). Infrastructure 3). Surrounding environment.

Students are a group of groups in society who have the opportunity to get higher education with the main task of carrying out educational activities, but students often feel difficulties in academic matters, such as piling up coursework, group work that does not go well, exams that are considered difficult, and final assignments that are not completed, thus affecting students' psychological well-being. Therefore, students can regulate emotions to improve psychological well-being. This study was conducted with the aim of measuring the effect of emotion regulation on psychological well-being in students. The subjects used were 165 UNP students majoring in psychology class of 2021. The method used is quantitative with data analysis using simple regression analysis. The results showed a significance level of 0.000 < 0.05, which means that there is an effect of emotion regulation on psychological well-being in UNP psychology students class of 2021.

Badan Usaha Lembang (BumLem) Tallu Lolona faces challenges in financial management that affect the sustainability of its operations, which include credit provision and rice and coffee milling services. This study aims to enhance the capacity of its administrators and managers in financial management through mentoring and training. The methods employed include classical training, practical workshops, and group discussions. The results indicate that participants successfully grasped the basic principles of financial management, improved their ability to prepare financial reports, and identified solutions to financial issues through discussions. It is expected that this initiative will create new institutions, foster positive behavioral changes, and cultivate local leadership in BumLem’s financial management.

Active, Creative, Innovative and Fun Learning Training (PAIKEM) is a strategy designed to improve the quality of learning through an approach that involves students actively and creatively. This article aims to describe the implementation and results of PAIKEM training for elementary school teachers in Padang Cermin District, Pesawaran Regency, Lampung. Training was carried out in three stages: preparation, implementation and evaluation. The methods used include simulations, group discussions, and practical assistance in class. The results of the training show an increase in teachers' understanding of PAIKEM principles, increased skills in applying creative methods, and increased student participation in the learning process. This training makes a significant contribution to the development of teacher competence and the quality of learning in elementary schools. To ensure the sustainability of the impact of training, continued assistance and synergy between schools, government and the education community is needed.

The waste management program at SD Negeri Ringinanom 1, Magelang Regency, is part of the Student Work Program of Team II, Kuliah Kerja Nyata (KKN) in Ringinanom Village, Universitas Tidar. This program aims to raise environmental awareness from an early age through education and hands-on practice. It includes waste management socialization, the creation of collages from plastic waste, and the production of hydroponic pots using used gallons and bottles. The activities were carried out in stages, starting with a site survey on January 7, 2025, followed by socialization on January 10, 2025, and the practical creation of collages and hydroponic pots on January 16, 2025. This program involved students from classes 4B, 5B, and 6B through interactive socialization, demonstrations, and direct practice. The results showed an improvement in students' understanding of waste management and their skills in processing waste into valuable products. Additionally, the program supports the school’s status as a Sekolah Adiwiyata and aligns with the Projek Penguatan Profil Pelajar Pancasila (P5) curriculum, instilling sustainability values and environmental responsibility from an early age.

In order to improve the quality of education, speaking skills are one of the important aspects that students need to have. However, in reality the speaking skills of class IV students at State Elementary School 67 are still low. Therefore, this research aims to improve students' speaking skills through the application of role-playing methods. This research uses the Kemmis and McTaggart model which consists of four stages, namely planning, action, observation and reflection. In this way, it is hoped that students' speaking skills can improve and become more effective in communicating. Based on the results of observing teacher activities in cycle I, results were obtained with a percentage of 75%, then in cycle II teacher activity increased to 92% with very good qualifications. Meanwhile, the results of observing student activities in cycle I obtained a result of 73.73% and increased in cycle II to 88% with very good qualifications. Based on these data, it shows that there has been an increase in teacher and student activity in implementing role-playing methods in the learning process. Thus it can be concluded that the application of the role playing method is able to improve students' speaking skills in learning Indonesian for class IV students at State Elementary School 67.

This research is Class Action Research (PTK), set at State Elementary School 125/IX Simpang Selat. The objects of this research were class III students at State Elementary School 125/IX Simpang Selat, and the aim of this research was to apply educational picture story book media to the learning of Natural and Social Sciences (IPAS), animal life cycle material. This research was carried out in two cycles and four stages, including: (1) planning, (2) implementation, (3) observation, (4) reflection. Data was obtained through observation, interviews and documentation. Using qualitative and quantitative data analysis. The results of the research show that the application of educational picture storybook media can increase students' learning motivation in the learning process. Increased learning motivation can be measured from assessments in Cycle I and Cycle II. The student learning motivation score in cycle I was 52% in the high category, and the student learning motivation score in cycle II was 82% in the very high category. Therefore, the research results at State Elementary School 125/IX Simpang Selat have been well realized.

Predicting credit worthiness is an important step for banks to reduce the risk of bad credit. This research compares the performance of four classification algorithms, namely SVM, Naïve Bayes, Random Forest and Decision Tree using simulated datasets. The results obtained on the metrics of accuracy, precision, recall, F1 score, and AUC-ROC, show that Decision Tree has the best performance with 42.5% accuracy, 48.3% precision, 47.5% recall, 47.5% F1 score, and AUC 0.60, indicating its ability to is in differentiating credit worthiness. Random Forest achieved an accuracy of 37.5% and an AUC of 0.493, while Naïve Bayes had the lowest accuracy with an accuracy of 27.5% and an AUC of 0.425. SVM gives better results than Naïve Bayes but is still inferior to Decision Tree. This research recommends implementing a Decision Tree as the main model with optimization through hyperparameter tuning, adding relevant features, and handling data accounting. These results are expected to support banking decision making more effectively and efficiently.