bluuebunny/crossref_metadata_2025 huggingface dataset:
Genetic predisposition to metabolic dysfunction-associated fatty liver disease
Authors: Abaturov O.E. , Nikulina A.O.
Published: May 2024

The literature review highlights the issue of genetic risk factors associated with the development of metabolic dysfunction-associated fatty liver disease. Human genetic examinations revealed 132 genes among which 32 loci are strongly associated with the pathogenesis of metabolic dysfunction-associated fatty liver disease. It has been found that the risk of developing metabolic dysfunction-associated fatty liver disease is carried by single-nucleotide variants of various genes whose products are involved in lipid and carbohydrate metabolism, maintenance of the redox state, the development of inflammation and fibrosis of liver tissue, which are components of metabolic dysfunction-associated fatty liver disease reactome. The authors presented a detailed list of genetic factors singling out those that influence the risk of metabolic dysfunction-associated fatty liver disease and directly metabolic dysfunction-associated steatohepatitis and liver fibrosis. Also, they emphasized that it is the single-nucleotide variants of the genes of protein 3 containing a patatin-like phospholipase domain, transmembrane 6 superfamily member 2, and 17b-hydroxysteroid dehydrogenase type 13 that are characte­rized by the highest degree of association with metabolic dysfunction-associated fatty liver disease (odds ratio > 1.6) compared to single-nucleotide variants of other genes identified by gene association studies. The combination of several polymorphisms increases the risk of development and severity of metabolic dysfunction-associated fatty liver disease. The additive steatogenic effect of protein 3 single-nucleotide gene variants containing a patatin-like phospholipase domain and transmembrane 6 superfamily member 2 is probably due to an increased expression of genes involved in de novo lipogenesis. The authors emphasize the need for genetic risk assessment of metabolic dysfunction-associated fatty liver disease, which should include molecular genetic testing at an early stage of examination.
The Semantic Features of Noun-verb Metaphorical Compound verbs in Mandarin Chinese
Authors: Chen Jialei
Published: May 2024

As a closed category, noun-verb metaphorical compound verbs are not productive but still frequently used in Mandarin Chinese. The internal relationship between the morphemes is subordinate, often with the noun morphemes suggesting the vehicles of metaphor processes and the verb morphemes indicating the tenors. Even though these compounds are already formed through metaphor, their meanings can further develop through metaphor and thereby gain new metaphorical meanings. In addition, we examine the usages and semantic features of two metaphorical compound verbs can-shi and jing-tun through a corpus-based collocation study to tease out people’s internal understanding of their meanings.
Exploration of Social Work Intervention Models in College Students' Youth Health Education—Taking University X as an Example
Authors: Cheng Yueyue , Zhong Linyue , Luan Xiuping , Wan Yu , Chang Xiangping
Published: May 2024

Based on the youth health program of colleges and universities, we carry out youth health education for X-school students based on the group work method of social work. It explores the practical path of youth health education in colleges and universities and develops a "trinity" youth health education model for colleges and universities, which promotes the organic integration of professional social work education, student peer education, community practice education, and youth health education, and finally provides suggestions for future youth health education in colleges and universities.
Literature Review of “Gesture Navigator: AI Based Virtual Mouse”
Authors: Kant Ravi , Ruhela Divyansh , Tyagi Ashi , Gupta Mayank , Singh Kanak , Tiwari Ayush
Published: May 2024

Abstract: The mouse is one of the wonderful inventions of Human-Computer Interaction (HCI) technology. Currently, wireless mouse or a Bluetooth mouse still uses devices and is not free of devices completely since it uses a battery for power and a dongle to connect it to the PC. In the proposed AI based virtual mouse system, this limitation can be overcome by employing webcam or a built-in camera for capturing of hand gestures and hand tip detection using computer vision. The algorithm used in the system makes use of the machine learning algorithm. Based on the hand gestures, the computer can be controlled virtually and can perform left click, right click, scrolling functions, and computer cursor function without the use of the physical mouse. The algorithm is based on deep learning for detecting the hands. Hence, the suggested system aims to minimize the risk of communicable diseases like COVID-19 transmission by reducing human contact and eliminating the need for additional devices to control the computer system.
Advanced Fire & Gas Detection System
Authors: Bharsakade Ramkrishna , Khairnar Abhishek , Khairnar Yukta , Gulati Karanjyot , Kale Akshay , Patil Devyani Kolse
Published: May 2024

Abstract: This paper presents a cost-effective, user-friendly, and dependable fire and gas detection system leveraging the capabilities of an Arduino microcontroller. The system employs an MQ2 gas sensor module for gas detection and a flame sensor module for fire detection. Upon the detection of either gas or fire, the system initiates an alarm, activates LED indicators, and communicates the situation through a 16x2 LCD display. Furthermore, the system can be configured to issue SMS alerts to specific recipients. Designed for versatile applications, it finds utility in diverse settings, including residential, commercial, and educational environments. It exhibits proficiency in detecting an extensive array of gasses, encompassing methane, propane, and carbon monoxide, while also displaying sensitivity to various flame types, including those generated by wood, paper, and plastic. Installation and upkeep are straightforward, with the Arduino microcontroller and sensor modules easily adaptable to a small breadboard or circuit board. The strategically positioned LCD display and alarm ensure swift notifications to occupants in case of potential hazards. Notably, this system is budget-friendly, with the Arduino microcontroller and sensor modules available at reasonable prices from numerous online and retail suppliers. Rigorous testing has validated its effectiveness in gas and fire detection, establishing it as an invaluable asset for safeguarding lives and property against fire and gas-related risks
Hand Written Digit Recognition System
Authors: Mishra Piyush
Published: May 2024

Abstract: This research paper provides a comprehensive analysis of the application of Artificial Neural Networks (ANNs) and Convolutional Neural Networks (CNNs) for the task of handwritten digit recognition, focusing on the extensively studied MNIST dataset. The study delves into the strengths and weaknesses of both approaches, considering various aspects such as accuracy, computational efficiency, and robustness. Through an in-depth exploration of the literature and empirical evidence, this paper aims to offer valuable insights into the advancements, challenges, and future directions in the field of handwritten digit recognition.
CNN-Based Machine Tool Monitoring with STFT Image Analysis
Authors: Modupalli Vishnu Priya
Published: May 2024

Abstract: In the realm of machine tool operation, effective condition monitoring holds predominant importance to ensure operational reliability and safety. Leveraging deep learning methodologies, particularly convolutional neural networks (CNN), for defect identification has gained significant attention. However, inherent challenges persist, including the extraction of salient features and potential information loss while extracting the features from raw vibration signals. In response, this study proposes an intelligent approach for condition monitoring in machine tools, integrating short-time Fourier transform and convolutional neural networks (STFT-CNN). The process entails using STFT to convert one-dimensional vibration signals into time-frequency pictures, which are then fed into the STFT-CNN model to acquire and identify fault features. Furthermore, the study explores optimizing STFT parameters, such as window type, window width, and translation overlap width, across various typical window functions to improve the effectiveness of the transformation process. Within the STFT-CNN model, the utilization of stacked double convolutional layers aims to augment the model's nonlinear expression capacity, thereby facilitating robust fault diagnosis capabilities in machine tool condition monitoring applications
Development of Dry Fruits Laddoo
Authors: Desai Asim
Published: May 2024

Abstract: The aim is to prepare Balls (ladoo) as a nutritional point of view and to provide convenience to the consumer. The ingredient which was used for preparation of balls is Dates (Phoenix dactylifera) which contains Energy: 282 cal, Protein: 2.5 g. Carbohydrates: 75 g, Fat: 0.4 g etc. Vitamin B-6 (PYRIDOXINE) is present. Minerals such as Calcium, iron, Magnesium are present in Dates. The flax seeds are very important in regular diet for humans especially for females. They increase nutrient absorption, help in weight loss, gluten free, rich in antioxidants and omega 3 fatty acids. Owing to these health benefits, dietitians and doctors advise to take flax seeds every day. Balls (ladoo) are good and typically made from various flours and dry fruits by various ways. Balls (ladoo) are usually round, sweet, small or large in size. For preparation of Balls (ladoo) ingredients used are pitted dates,flax seeds, almonds, cashews, Jaggery syrup, oats etc. all these ingredients were finely grounded. The formulation was made by varying levels of ingredients. For preparation of Balls (ladoo) all ingredients were roasted and then grounded into fine powder. The dates were pitted and then grounded in mixer grinder. All these grounded ingredients were made into dough by adding Jaggerysyrup. Three trials have been done T1, T2, and T3 by varying proportion of all ingredients and T3 has been selected. Proximate composition of ladoo ware fat content was found out to be 7.08 ± 0.02%, the protein content is 7.85 +0.09 %, the total carbs are 58.40 ± 0.07 %, the energy in ladoo was 328.72 kcal and ash content is about 2.01 ± 0.11% respectively). It was concluded that the Balls (ladoo) can be store for one month in High density polyethylene pouches at room temperature. These balls are rich source of iron so they satisfy consumer’s needs.
Cloud Cover Segmentation and Motion Prediction from Satellite Imagery
Authors: Savale Vaishali , Wanjare Jay , Waware Saket , Wagh Yash , Yeole Aditya , Susatkar Yuvraj
Published: May 2024

Abstract: This research project is dedicated to achieving precise identification, segmentation, and motion prediction of cloud formations in satellite imagery. Leveraging the powerful U-Net, a renowned deep learning architecture for image segmentation, is crucial in addressing the intricate challenge of cloud detection and segmentation within remote sensing imagery. The automation of cloud identification processes within the project not only enhances weather forecasting capabilities but also contributes significantly to advancements in climate monitoring and environmental analysis. The incorporation of Long ShortTerm Memory (LSTM) networks facilitates cloud motion prediction, providing insights into the dynamic behavior of cloud formations over time. The robustness of the U-Net model, coupled with the enhanced capability of capturing intricate patterns and predicting cloud motion, establishes it as a valuable and comprehensive tool. This contributes to improving the accuracy and efficiency of cloud segmentation in satellite imagery, fostering progress in critical domains such as environmental research and meteorological applications
Keystone - A Smart Campus
Authors: Rajebhosale Prof. Sagar , Dandage Prof. Rajeshwari , Virkar Mr. Atharva , Chouhan Mr. Durgaprasad , Bhise Mr. Atharva , Nandgavkar Mr. Rushikesh
Published: May 2024

Abstract: Increasing numbers of institutes have set up facilities on their Web portal as a way of providing users (i.e. Students and Faculties) with information about their facilities and features. Generally in colleges, things are done manually such as submission, handouts, notice, results, records, examinations, etc. so to avoid this we are designing a web portal for our institute, which will be helpful in following features like time saving, easy access and user friendly. In this project, we developed a Smart Campus Web Portal called Keystone App. Keystone App offers campus management solutions with the collaboration of smart features, the Internet and computer applications. The system has many features; these are Online Attendance System, Online Noticeboard, providing study materials and many more. It is a digitalization of campus resources in the real world, allowing different resources to be integrated and generating an ecology. The virtual campus interacts powerfully with the physical campus, improving the efficiency of campus operations and promoting the university's long-term development.
Zeal Nexus - Student Abode
Authors: Patil Monika , Pawar Snehal , Chichkar Khadija , Kamlekar Shraddha , Parate Roshni
Published: May 2024

Abstract: Effective and thorough processes are critical to the successful operation and management of hostel facilities in the field of hostel management. An effective hostel administration system called Zeal Nexus was created. to use the MERN stack technology to meet these goals. Scalability, usability, and integration possibilities are frequently hampered by the complexity of the current hostel administration systems. These difficulties may make it more difficult to manage hostel operations effectively, which could have an impact on both resident satisfaction and administrative effectiveness. We suggest building the Zeal Nexus, a cutting-edge, comprehensive hostel management system that makes use of the MERN stack—MongoDB, Express.js, React, and Node.js—in order to address these problems. This potent technology stack will be used in our project to create a scalable, responsive, and intuitive Platform. It simplifies the administration of hostels. A wide range of tools for handling resident data, room assignments, maintenance requests, and financial transactions will be available through the Zeal Nexus, all inside a single, easily navigable interface.
Diesel Level Monitoring System
Authors: Sondkar Dr. Shilpa , Patil Omkar , Bhosale Paras , Nyahalde Poonam
Published: May 2024

Abstract: The ultimate objective of this project is to create a wireless diesel tank monitoring system that employs WebSocket protocol to connect fuel sensors and a mobile app in remote areas in real time. Through the use of Wi-Fi networks, customers can obtain consumption information, monitor the current diesel levels in various tanks, and log in to the mobile app, which has a straightforward interface. Diesel levels are shown as a percentage, translated from voltage readings, and alerts are delivered by the system when levels drop below preset limits. The goal of this effective and user-friendly technology is to maximize the use of diesel and make timely refills in distant places easier. A reliable and smooth solution for diesel level monitoring is made possible by the integration of the ESP32 microcontroller, WebSocket connection, and capacitive fuel level sensor. Accurate mapping of sensor readings to ESP32 values is made possible by the use of a 20k ohm potentiometer, which guarantees accurate and dependable data transfer. This work advances the area of remote monitoring systems by providing a workable and expandable method for monitoring diesel level in a variety of applications.
A Comprehensive Review of Modern Counter-Drone Technologies: Trends, Challenges, and Future Directions
Authors: Sirohi Hemant , Khairnar Dr. CN , Kumar Pramod , Kumar Abhay
Published: May 2024

Abstract: The rapid proliferation of unmanned aerial vehicles (UAVs)/ drones, has brought about significant advancements in various fields such as military operations, surveillance, agriculture, and logistics. However, the misuse of drones poses substantial risks to security, privacy, and safety. This comprehensive review explores the current state of counter-drone technologies, examining trends, challenges, and future directions. We delve into various detection, tracking, and mitigation techniques, including radar, radio frequency (RF) sensing, computer vision, and artificial intelligence (AI)-driven approaches. Furthermore, the paper highlights the integration of deep reinforcement learning (DRL) in enhancing the efficacy of counterdrone systems. Key issues such as legal and ethical considerations, technological limitations, and emerging threats have been discussed in detail. The review synthesizes findings from recent literature, offering a detailed analysis of the capabilities and constraints of existing counter-drone technologies. This work aims to provide a foundation for future research and development in creating robust, efficient, and adaptable counter-drone systems to mitigate the evolving threats posed by rogue drones.
Predictive Analysis for Big Mart Sales Using Machine Learning Algorithms
Authors: Bhujbal Sakshi , Rajure Vaishanvi , Shinde Saurabh , Singh Divyansh , Bagul Yash , Agarkar Dr. Pankaj
Published: May 2024

Abstract: Supermarkets and retail giants like Big Mart rely heavily on tracking individual item sales data to anticipate consumer demand and optimize inventory management. By mining data warehouses, anomalies, and trends can be identified, providing valuable insights for forecasting future sales volumes. Leveraging advanced machine learning techniques, such as Decision Tree Regression, predictive models can be developed to forecast sales accurately. Through the implementation of such a model, it has been observed that it surpasses the performance of existing forecasting models. This innovative approach not only enhances decision-making processes but also enables businesses like Big Mart to stay ahead in a competitive market landscape.
Adversarial Learning for Constrained Image Splicing Detection and Localization
Authors: Ahir Prof. D. , Kapse Sakshi , Mhaske Sayali , Pansare Tanuja , Kalane Param
Published: May 2024

Abstract: In the era of digital media, the manipulation of images has become a significant concern, particularly on social media platforms. Adversarial Learning for Constrained Image Splicing Detection and Localization aims to develop a robust system capable of recognizing and localizing spliced or tampered images. This research proposes a novel approach that leverages Convolutional Neural Networks (CNNs) and adversarial learningtechniques to enhance the detection and localization of image splicing. The system is designed to aid in distinguishing between authentic and manipulated images, thereby promoting transparency and trust in digital media. With the rapid advancement of digital media and image editingtools, the manipulation of visual content has become increasingly prevalent, posing significant challenges to the credibility and trustworthiness of images shared on social media platforms. One pervasive form of image manipulation is image splicing, where portions of two or more images are seamlessly combined to create a composite image, often with the intent to mislead or deceive viewers. Adversarial Learning for Constrained Image Splicing Detection and Localization aims to address this issue by developing a robust system capable of accurately detecting and localizing spliced regions within tampered images. This research proposes a novel approach that synergistically integrates Convolutional Neural Networks (CNNs) and adversarial learning techniques to enhance the performance of image splicing detection and localization. The proposed system employs a two-stage process: first, a CNN-based classifier is trained on a large dataset of authentic and spliced images to learn discriminative features for distinguishing between the two classes; subsequently, an adversarial learning model is employed to generate adversarial examples that can deceive the CNN classifier, while the classifier is iteratively updated to become more robust against these adversarial perturbations. By accurately identifying and localizing spliced regions within images, this research contributes to promoting transparency and trust in digital media shared on social media platforms, ultimately empowering users to make informed decisions about the authenticity of visual content. The proposed system has potential applications in various domains, including journalism, law enforcement, and content moderation, where verifying the integrity of visual evidence is of paramount importance.
A Conceptual Study of Wind Load With Different Types of Lateral Load Resisting Methods in 15-Storey Structure
Authors: Kamble Diksha , Raut Dr. Mahesh V.
Published: May 2024

Abstract: In order to strengthen rigidity and control the base deflection of a high-rise structure, stabilizers and trusses are typically used. A stabilizing layer on the building's roof efficiently fortifies the structure. Lateral stiffness is increased by each succeeding stabilizer layer, albeit less so than by the preceding stabilizer layer. The essential components in multi-storey buildings that can withstand shear forces are the shear walls. More efficient shear walls are required as building code requirements rise and tall structures and skyscrapers get taller. The ductility, energy dissipation capacity, and deformation capacity of conventional reinforced concrete shear walls are limited. In the field of structural engineering, a damper in a building is a device intended to lessen the impact of dynamic forces like seismic vibrations or oscillations caused by wind. These devices are necessary in tall or flexible constructions where excessive movement may cause structural damage or cause discomfort for the residents. In this research, we prepare four different cases of 15-storey structure. All modeling work performed in ETABS 2016. Material properties use concrete grade M-40 and steel grade Fe375 and Fe250. One case has shear walls on corners, second case have FVD damper on corners and last case have outrigger on corners. For design wind speed data use code IS: 875-(2015).
EVALUATION OF THE ROLE OF THE SCHOOL PRINCIPLE AS MANAGERIAL IN IMPROVING THE QUALITY OF SCHOOLS
Authors: HENDRAWAN Oki
Published: May 2024

The managerial ability of the principal is one of the important factors in order to advance and improve the quality of the school he leads. With this managerial competence, it is hoped that the principal's school will be better because the principal's managerial competence has a strong role in planning, organizing, briefing and controlling. This research uses descriptive qualitative method. Sources of data from this study were the principal (as key informant), vice principal, administration, teachers, students, parents, and alumni. Data collection techniques were carried out through data triangulation as follows: observation, interviews, and documentation. Analysis of research data was carried out through the following steps: 1) collecting data, 2) reducing data, 3)presenting data, and 4) drawing conclusions. The results of this evaluation study are as follows: 1) Principal's managerial ability in planning to improve school quality is not in accordance with the criteria, 2) Principal's managerial ability in organizing quality improvement is not in accordance with procedures, 3) Principal's managerial ability in directing school quality improvement as well not going well, 4) managerial ability in controlling or supervising the principal in improving the quality by monitoring and evaluating is still not satisfactory. From the overall managerial level of the Principal, it can be stated that the Principal of MTs Nurul Qur'an Cengkareng, West Jakarta, in terms of improving the quality of schools has not gone well based on indicators that refer to the components of context, input, process, product.
TEACHER PERFORMANCE DURING THE COVID-19 PANDEMIC
Authors: JAUHARI Tanthowi
Published: May 2024

This study aims to determine the performance of teachers during the Covid-19 pandemic in public elementary schools in South Tangerang City in the aspects of planning lessons, implementing lessons, and assessing or evaluating learning. This study used a mixed method with a quantitative-qualitative approach. The research participants were 65 teachers. Data collection techniques through questionnaires, observation, and interviews. Data analysis technique is done by percentage test. Checking techniques and data validity using source and technique optimization. The results showed that teacher performance during the pandemic was obtained with a percentage value of 72.75% for the aspect of planning learning 79.85% for the aspect of carrying out learning, and the aspect of assessing learning obtained a value of 69.54%. The three aspects of planning, implementing, and assessing teacher learning are categorized as moderate or good enough. To improve teacher performance during this pandemic, teachers need to implement strategies such as increasing innovation and creativity during learning. This is done to reduce student boredom before learning begins, such as providing interesting videos so students will be more enthusiastic.
RELATIONSHIP BETWEEN PRINCIPAL LEADERSHIP, WORK ENVIRONMENT, AND WORK DISCIPLINE AND TEACHER WORK ETHICS
Authors: RAHMAWATI Andita
Published: May 2024

This research aims to reveal the principal's leadership role, work environment, and work discipline on the work ethic of state high school teachers in Kalideres District. The method used in this study is a quantitative method with data collection using a questionnaire. The question- naire was tested on 30 respondents to test the validity of each statement item. The population in this study were the principals and teachers of public high schools in Kalideres District as many as 112 people. The research sample used simple random sampling. The number of samples taken was calculated using the Slovin formula with a significant level of 5%, namely 87 respondents. In analyzing the research data, normality test analysis, multicollinearity test, multiple lin- ear regression test, correlation test, and f test and t test were used. Based on the results of the study, the following values were obtained: (1) principal leadership (X1) with work ethic (Y) ry1 = 0,9711% ; (2) work environment (X2) with work ethic (Y) ry2 = 0,9774, (3) work discipline (X3) with work ethic (Y) ry3 = 0,9894%; and (4) principal leadership (X1), work environment (X2), and work discipline (X3) with work ethic (Y) ry123 = 0,9920. Based on the calculation results, it is known that together the principal's leadership, work environment, and work discipline have a positive direct relationship with the work ethic of public high school teachers in Kalideres District, West Jakarta.
EVALUATION OF PRINCIPAL MANAGERIAL IMPLEMENTATION
Authors: LIDIAWATI Herlina , AL JUFRI Hamid , A. GHANI Abd Rahman
Published: May 2024

This study aims to determine the implementation of the principal at SD Negeri Sukajaya 01 Sukajaya District, Bogor Regency. The method used is the Qualitative Method. The evaluation model used is inequality (DEM). Collecting data obtained from various sources, backgrounds and sources through literature study. The results of this study indicate that the implementation of the Principal in managing the School in Standards of Facilities and Infrastructure and Standards of Educators and Education Personnel needs to be improved. The research subjects are the Principal, and the teachers. The object of research is all that is in the school under study. The research instrument intended as a data collection tool in this study were: grid sheets equipped with interview guidelines, in the form of questions, observations, and documentation studies of all observation activities carried out. Data collection techniques using the method of observation, interviews and documentation studies. Data analysis techniques are planning, data collection, data separator, verification and drawing conclusions. The results of the study show that: 1) the fulfillment of the standard of facilities and infrastructure is not optimal 2) the fulfillment of the standards of educators and education personnel needs to be improved 3) the fulfillment of the standards of sarpras and teaching and educational staff is not in accordance with the duties and functions of the principal. Duties and functions of the Principal as Manager 4) need to analyze the school's obstacles and challenges through a SWOT analysis.
EVALUATION OF INCLUSIVE EDUCATION PROGRAM IMPLEMENTATION
Authors: HUMAIROH Sindidah , CHAERUNNISA Connie , SYARIF M. Suryadi
Published: May 2024

This study aims to evaluate the inclusive education program at SDN 14 Jatinegara Kaum, East Jakarta. Descriptive qualitative research method with the CIPP model (context, input, process, product). Sources of informants consisted of school principals, Curriculum/Student Affairs Section, Special Assistance Teachers, Shadow Teachers, Class Teachers, Guardians of Inclusive Students. Research using interviews, observation, documentation. Then the data were analyzed by reduction, presentation and conclusion. Based on the research, the results were obtained: In the context aspect, Vision, mission and objectives are not yet in favor of inclusive students. In the input aspect, financing and infrastructure do not support the inclusion program. In the process aspects of the teaching and learning process and assessments are not maximized, inclusion students still experience difficulties in following learning and the assessment process are still the same as regular students. In the product aspect the results of the inclusive program research are not maximized, because they place more emphasis on non-academic (self-help, social development) but there are still deficiencies in reading development and menus.
THE INFLUENCE OF THE PRINCIPAL SUPERVISION AND TEACHER'S PROFESSIONAL COMPETENCE IN LEARNING DESIGN ON THE QUALITY OF EDUCATION
Authors: SOLIHAH Anis
Published: May 2024

This study aims to analyze the effect of (1) principal supervision, (2) teacher professional competence and (3) learning design on education quality. The research method used is a causal survey with a correlational design and path analysis (Path Analysis). Correlational design is used to determine the relationship and the magnitude of the influence between two or more variables. The variables used in this study are the supervision of the principal (X_1), teacher professional competence (X_2), learning design (X_3), and quality of education (Y1). The population in this study were 182 public elementary school teachers in Cluster 2, Tangerang District. Validity test is calculated using the Product Moment formula and reliability is calculated using the Alpha Cronbach formula. The data were analyzed using descriptive statistics, to test the hypothesis, the correlation test, regression test and determination test were used which were calculated using SPSS version 25 software. The results showed that the supervision of school principals, teacher professional competence and learning design had an influence on the quality of education partially or simultaneously. Based on the results of the research, it can be implied that the supervision of the principal, teacher professional competence and learning design for teachers at SD Negeri Gugus 2 Tangerang District is good and this needs to be improved through teacher competency test activities, making good learning designs and optimizing the role of school principals so that quality the quality of education is getting better.
EVALUATION OF IMPLEMENTATION OF INCLUSIVE EDUCATION PROGRAM FOR EARLY CHILDREN
Authors: HIDAYATI Nurul
Published: May 2024

This study aims to determine the various components that can influence the effectiveness of the inclusive education program. The program evaluation method and model used in this study is program evaluation research with a qualitative approach, using the Discrepancy Evaluation Model developed by Malcolm Provus using 4 stages. The results of this study indicate that the evaluation of early childhood inclusive education implemented by TKIT Assunah Cirebon City using the Discrepancy Model Evaluation (DEM) method is very important for the early childhood inclusive education community that requires special attention, where the implementation of inclusive education is in accordance with standard regulations. The results of the SWOT analysis show that the coordinate points (X, Y) are obtained, namely (3.5;-3) so that the intersection points are obtained which are in quadrant II which shows that there are more strengths than threats, weaknesses and opportunities. Where the strength is the use of a more simplified inclusive education curriculum so that it is easy to adapt to children with special needs. In addition, the existence of workshops/training for human resources can overcome threats to teacher competence as well as difficulties for class assistant teachers to balance learning for inclusive early childhood education because they have never participated in inclusive education program training. So that there is a need for support from the Principal and the Committee to provide training related to early childhood inclusive education for children with special needs.
INFLUENCE OF TRANSFORMATIONAL LEADERSHIP SCHOOL PRINCIPALS AND TEACHERS' EMOTIONAL INTELLIGENCE ON THE PROFESSIONAL COMPETENCE OF PRIMARY SCHOOL TEACHERS
Authors: NOFITA Eka
Published: May 2024

This research aims to examine the influence of principals' transformational leadership and teachers' emotional intelligence on the professional competence of state elementary school teachers in Beji Depok District. The method used is a quantitative method using a causal survey method with a path analysis approach. The population in this study was 168 public elementary school teachers in Beji Depok District. The sample amounted to 1141 using the formula developed by Slovin. Data analysis techniques using SPSS. The conclusions of this research are: 1) There is a positive and significant influence of the principal's transformational leadership on the professional competence of public elementary school teachers, 2) There is a positive and significant influence of teacher emotional intelligence on the professional competence of public elementary school teachers. and 3) There is a positive and significant influence of the Principal's transformational leadership on the emotional intelligence of state elementary school teachers. The implications of this research are: 1) The implications of increasing teacher professional competence by optimizing the transformational leadership of school principals through: influencing charismatically, inspiring, stimulating and providing individual sensitivity. 2) The implications of increasing teacher emotional intelligence through: providing self-awareness, managing one's emotions, motivating oneself, recognizing other people's emotions and demonstrating social skills. 3) The implications of increasing teachers' emotional intelligence by optimizing the head's transformational leadership, for example by providing: role models for teachers, providing clear direction and instructions for teachers and rewarding teachers who can manage their emotional intelligence better.
INFLUENCE OF TEACHER COMMITMENT AND SCHOOL PRINCIPAL VISIONARY LEADERSHIP ON WORK CLIMATE
Authors: HASANAH Tuti Robiatul , FETRIMEN Fetrimen , SYARIF Suryadi
Published: May 2024

This research aims to examine the influence of the principal's commitment and visionary leadership on the work climate of State High Schools in Pesanggrahan District, South Jakarta. The method used is a quantitative method using a causal survey method with a path analysis approach. The population in this study was 218 public high school teachers in Pesanggrahan District, South Jakarta. The sample amounted to 141 using the formula developed by Slovin. Data analysis techniques using SPSS. The conclusions in this research are: 1) There is a positive and significant influence of Teacher Commitment on the Organizational Climate of Public High School teachers in Pesanggrahan District, South Jakarta, 2) There is a positive and significant influence of Visionary Leadership on the Organizational Climate of Public High School teachers in Pesanggrahan District, South Jakarta and 3) There is a positive and significant influence of Teacher Commitment on the Visionary Leadership of State High School Principals in Pesanggrahan District, South Jakarta. The implications of the research are that the aspects that need to be improved are: 1) Teacher commitment shows an influence on the organizational climate of state high school teachers in Pesanggrahan District, South Jakarta. 2) Visionary Leadership shows influence on the Organizational Climate of Public High School teachers in Pesanggrahan District, South Jakarta. It is important to improve Visionary Leadership by: 1) Direction setter, 2) Agent of change, 3) Spokesperson, and 4) Coach.
INFLUENCE OF SCHOOL PRINCIPALS' SITUATIONAL LEADERSHIP AND ORGANIZATIONAL CULTURE ON TEACHER WORK MOTIVATION
Authors: NAWARDA Faizin , FITRIANI Somariah , WAHJUSAPUTRI Sintha
Published: May 2024

The purpose of this research is to analyze and test: (1) The influence of the principal's situational leadership on teacher work motivation. (2) The influence of organizational culture on teacher work motivation, (3) The influence of the principal's situational leadership on organizational culture. This research is a quantitative survey type research. The population in this study were all teachers in Pancoran District Public Elementary Schools, South Jakarta, with a sample of 124 teachers taken at random (random sampling). The analysis technique used is the path analysis technique. The results of this research show that (1) There is no significant influence of the Principal's Situational Leadership on the Work Motivation of Public Elementary School Teachers in Pancoran District, South Jakarta. (2) There is a direct positive and significant influence of Organizational Culture on the Work Motivation of Public Elementary School Teachers in Pancoran District, South Jakarta. (3) There is a direct positive and significant influence of the Principal's Situational Leadership on the Organizational Culture of Public Elementary Schools in Pancoran District, South Jakarta. The conclusion in this research is that to create teacher work motivation, the principal should understand follower behavior and the situation before using certain leadership behavior. The organizational culture in the school should be able to identify the characteristics of each teacher to create harmonious relationships between members of the school environment and provide mutual motivation between teachers.
INFLUENCE OF THE SCHOOL PRINCIPAL'S PARTICIPATIVE LEADERSHIP STYLE, INFRASTRUCTURE AND EMOTIONAL INTELLIGENCE ON PRIMARY TEACHER PERFORMANCE
Authors: PARDEDE Marulas , ISTARYATININGTIAS Istaryatiningtias , GHANI Abd Rahman A.
Published: May 2024

This research was conducted with the aim of determining the impact of the principal's participative leadership style, infrastructure and emotional intelligence on the performance of elementary school teachers in Kembangan District, West Jakarta. This research is quantitative because the data analyzed is in the form of numbers obtained from respondents' answers which were distributed to 85 elementary school teachers. The research is contextual operational in nature by using hypothesis testing to make temporary guesses regarding the influence of the independent variable on the dependent variable. Data collection was carried out using a Google Form questionnaire with a horizontal time is cross sectional. The results of research conducted with the help of Smartpls statistical software are that the principal's participative leadership style has no effect on teacher performance, while infrastructure and emotional intelligence have an influence on teacher performance
TAFSIR KEBANGSAAN BERTAJUK TOLERANSI DI MEDIA SOSIAL: ANALISIS WACANA KRITIS VAN DIJK PADA TAFSIRALQURAN.ID
Authors: Muttaqin Zaenal , Khiyaroh Arifatul
Published: May 2024

This article discusses one of the websites that focuses on the study of the Qur'an and interpretation courses, namely the tafsiralquran.id website. This study specifically discusses the presentation model of national interpretation content with the theme of tolerance on the tafsiralquran.id website and the ideology carried by the website in building discourse and interpretation of the Koran. This research found that even though it is considered as an interpretation of social media, which is limited by regulations regarding writing on the internet, the website tafsiralquran.id still adheres to the guidelines of 'ulūmūl qūr'an in interpreting verses. The ideology promoted by the website is the ideology of moderate and nationalist interpretation. While the production of interpretation content on this website follows the problems that occur in society, including national issues that occur in Indonesia. This ideology is in line with the government's vision and mission in realizing religious moderation.
DIMENSI TAUHID DALAM PEMBELAJARAN ILMU PENGETAHUAN ALAM BERBASIS FILSAFAT NATURALISME AUGUST COMTE
Authors: Fajarwati Lusy , Irawan  , Hasanah Aan
Published: May 2024

This article raises the problem of the lack of integration of tauhidic values ​​in Natural Sciences (Ilmu Pengetahuan Alam) learning in connection with the non-inclusion of tauhidic values ​​in the Learning Implementation Plan (Rencana Pelaksanaan Pembelajaran). This research aims to reveal how aspects of tauhid can be integrated in the context of Natural Sciences (IPA) learning, as well as how the concept of Naturalism proposed by August Comte can be applied in natural sciences learning. So the results can provide guidance to educators and teachers about the importance of the tauhid dimension in science education and inspire discussions about how Comte's naturalism can be applied meaningfully in modern and diverse educational contexts. The method used is philosophical qualitative, with an emphasis on conceptual analysis and Comte's philosophical understanding of Naturalism. The results of this research will highlight the challenges faced by teachers in integrating monotheistic values ​​in science learning, as well as the impact of this lack of integration on the education and development of students. Through a philosophical qualitative approach, it will also show an understanding of how teachers can understand and apply tauhid dimension in science learning effectively. Thus, the findings in it will provide insight into how to increase the integration of tauhidic values ​​in integrated natural science education, by referring to August Comte's naturalist concepts.
Preliminary findings on the Unified Protocol for Transdiagnostic Treatment: A controlled trial on its effectiveness on Anxiety and Depressive Symptoms for Turkish Adults
Authors: ERARSLAN-İNGEÇ Özge , Yorulmaz Orçun , Farchione Todd , BOSCHULTE MADISON
Published: May 2024

The present study investigates the feasibility and initial efficacy of
the Unified Protocol (UP) for anxiety and depressive symptoms in Turkish
university students with a pretest-posttest control group research
design. Thirty-four undergraduate students with high levels of
depressive and/or anxiety symptoms were randomly assigned to one of two
study conditions: an intervention group based on the UP (n=17) or a
waitlist control group (n=17). To determine the effectiveness of
treatment, a 2 (intervention-control group) x 2 (pre-post test) mixed
measures variance analysis was applied for the primary outcome measures:
degree of anxiety and depressive symptoms as well as positive and
negative affect and psychological well-being. The analyses revealed a
significant difference between pre- and post-treatment scores on all
outcome measures in the intervention group; these improvements were also
significantly greater than those in the control group. In other words,
participants receiving the Unified Protocol reported lower levels of
anxiety and depressive symptoms, decreased negative affect, higher
levels of positive affect, and improved psychological well-being
compared to the control condition. The findings of this study provide
preliminary support for the efficacy of the Unified Protocol in a
Turkish sample. The study findings are evaluated in light of the
relevant literature and within the scope of the study’s limitations, and
suggestions for academic and clinical applications are presented.
“Bora” and Beyond: Respecting Money but not Women’s Land Access in Rural Sierra Leone.
Authors: Turay Bankolay Theodore , Omirin Modupe Moronke
Published: May 2024

In the North-west of Sierra Leone, customary land access hinges on
“Bora” – a system tied to respect and social obligations, not formal
ownership. While “Bora” plays a crucial role in rural women’s
livelihoods, their land rights remain precarious. This study examines
how the emergence of “Respect Money” – a cash payment replacing
traditional obligations – challenges and reinforces gendered
inequalities in land access. Drawing on qualitative and quantitative
methods, the research investigates the shifting dynamics, how “Respect
Money” alters traditional power structures and customary gender roles
related to land. Livelihood impacts on the consequences of commodified
land access for women’s agricultural practices, income, and food
security. Social implications on the potential erosion of communal
values and increased risk of land dispossession for women under the
“Respect Money” system. Empowerment or exploitation? whether “Respect
Money” presents an opportunity for women’s agency or contributes to
their further marginalization within land governance. The case study
design employ both qualitative and quantitative data analysis that
reveals how the monetization of customary land access, while offering
some flexibility, can exacerbate existing gender inequalities. Key
informant interviews from women’s group, civil society organizations,
land advocates, traditional leaders couple with Focus group discussion
with communities and Biographic survey of various women to understand
lived experiences from those that are constraint to land access due to
‘’Bora” compare to those from landowning families that benefit more
from land access. The result of the study sheds light on the complex
interplay between cash, tradition, and gender in shaping land rights.The
need for inclusive land governance frameworks that recognize and protect
women’s customary rights alongside formal structures. The study
highlight the need for alternative strategies for securing women’s
livelihoods and ensuring equitable access to land in
resource-constrained settings. This study contributes to ongoing debates
about gender, land rights, and the evolving nature of customary
practices in the face of economic and social transformations. It
recommends that policymakers and development practitioners to consider
the nuances of “Bora” beyond the lens of mere monetization and
advocate for solutions that truly empower rural women in land ownership
and management.