bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of SMOTE Variants on Software Defect Prediction Classification Based on Boosting Algorithm
Authors: Aflaha Rahmina Ulfah , Herteno Rudy , Faisal Mohammad Reza , Abadi Friska , Saputro Setyo Wahyu
Published: January 2025

Detecting software defects early on is critical for avoiding significant financial losses. However, building accurate software defect prediction models can be challenging due to class imbalance, where the data for defective modules is much less than for standard modules. This research addresses this issue using the imbalanced dataset NASA MDP. To address this issue, researchers have proposed new methods that combine data level balancing approaches with 14 variations of the SMOTE algorithm to increase the amount of defective module data. An algorithm-level approach with three boosting algorithms, Catboost, LightGBM, and Gradient Boosting, is applied to classify modules as defective or non-defective. These methods aim to improve the accuracy of software defect prediction. The results show that this new method can produce a more accurate classification than previous studies. The DSMOTE and Gradient Boosting pair with 0.9161 has the highest average accuracy (0.9161). The DSMOTE and Catboost model achieved the highest average AUC value (0.9637). The ADASYN kernel and Catboost showed the best ability to perform the average G-mean value (0.9154). The research contribution to software defect prediction involves developing new techniques and evaluating their effectiveness in addressing class imbalance.
Comparative Evaluation of Feature Selection Methods for Heart Disease Classification with Support Vector Machine
Authors: Bidul Winarsi J. , Surono Sugiyarto , Kurniawan Tri Basuki
Published: January 2025

The purpose of this study is to compare the effectiveness of a variety of feature selection techniques to enhance the performance of Support Vector Machine (SVM) models for classifying heart disease data, particularly in the context of big data. The main challenge lies in managing large datasets, which necessitates the application of feature selection techniques to streamline the analysis process. Therefore, several feature selection methods, including Logistic Regression-Recursive Feature Elimination (LR-RFE), Logistic RegressionSequential Forward Selection (LR-SFS), Correlation-based Feature Selection (CFS), and Variance Threshold were explored to identify the most efficient approach. Based on existing research, these methods have shown a great impact in improving classification accuracy. In this study, it was found that combining the SVM model with LR-RFE, LR-SFS, and Variance Threshold resulted in superior evaluation, achieving the highest accuracy of 89%. Based on the comparison of other evaluation results, including precision, recall, and F1-score, the performance of these models varied depending on the feature selection method chosen and the distribution of data used for training and testing. But in general, LR-RFE-SVM and Variance Threshold-SVM tend to provide better evaluation values than LR-SFS-SVM and SVM-CFS. Based on the computation time, SVM classification with the Variance Threshold method as the feature selection method obtained the fastest time of 118.1540 seconds with the number and retention of 23 important features. Therefore, it is very important to choose a suitable feature selection technique, taking into account the number of retained features and the computation time. This research underscores the significance of feature selection in addressing big data challenges, particularly in heart disease classification. In addition, this study also highlights practical implications for healthcare practitioners and researchers by recommending methods that can be integrated into real-world healthcare settings or existing clinical decision support systems.
Development of Convolutional Neural Network Models to Improve Facial Expression Recognition Accuracy
Authors: Fatimatuzzahra Fatimatuzzahra , Lindawati Lindawati , Soim Sopian
Published: January 2025

Advancements in information and computer technology, particularly in machine learning, have significantly alleviated human tasks. One of the current primary focuses is facial expression recognition using deep learning methods such as Convolutional Neural Network (CNN). Complex models like CNNs often encounter issues such as gradient vanishing and overfitting. This study aims to enhance the accuracy of CNN models in facial expression recognition by incorporating additional convolutional layers, dropout layers, and optimizing hyperparameters using Grid Search. The research utilizes the FER2013 public dataset sourced from the Kaggle website, trained and evaluated using CNN models, hyperparameter tuning, and downsampling methods. FER2013 comprises thousands of facial images representing various human expressions, with a specific focus on four facial expression categories (angry, happy, neutral, and sad). Through the addition of convolutional and dropout layers, as well as hyperparameter optimization, the developed model demonstrates a significant improvement in accuracy. Findings reveal that the refined CNN model achieves a highest accuracy of 98.89%, with testing accuracy at 89%, precision 78%, recall 78%, and F1-score 78%. This research contributes by enhancing facial expression recognition accuracy through optimized CNN models and providing a framework beneficial for the social-emotional development of children with special needs and aiding in the detection of mental health conditions. Additionally, it identifies avenues for future research, including exploring advanced data augmentation techniques and integrating multimodal information. Furthermore, this study paves the way for applications across diverse fields like human-computer interaction and mental health diagnostics.
Real-time Recyclable Waste Detection Using YOLOv8 for Reverse Vending Machines
Authors: Kestane Bahadir Besir , Guney Emin , Bayilmis Cuneyt
Published: January 2025

Increasing challenges in waste management necessitate optimizing the efficiency of recycling systems. Reverse Vending Machines (RVMs) offer a promising solution by incentivizing recycling through user rewards. However, inaccurate waste detection methods hinder the effectiveness of RVMs. This study explores the potential of the YOLOv8 deep learning algorithm to enhance real-time waste classification accuracy in RVMs. We propose a YOLOv8-based framework for real-time detection of seven key recyclable materials. The model is trained on a combined dataset comprising the public TrashNet dataset and a study-specific dataset tailored to materials and variations encountered in RVMs. Performance evaluation metrics include F1-score, precision, recall, and PR curves.Results demonstrate the superior performance of the YOLOv8-based approach compared to other popular deep learning algorithms, including YOLOv5, YOLOv7, and YOLOv9. The YOLOv8 model achieves an accuracy rate of over 97%, significantly outperforming other algorithms. This improvement translates into enhanced recycling efficiency and reduced misclassification errors in RVMs. This research contributes to the development of more sustainable waste management systems by improving the efficiency and accuracy of RVMs. The YOLOv8-based framework presents a promising solution for real-time waste detection in RVMs, paving the way for more effective recycling practices and reduced environmental impact.
Implementation of Personal Protective Equipment Detection Using Django and Yolo Web at Paiton Steam Power Plant (PLTU)
Authors: Nisa' Khoirun , Fajri Fathorazi Nur , Arifin Zainal
Published: January 2025

Work accidents can occur at any time and unexpectedly, so work safety is associated with health because the work safety system in Indonesia is related to the K3 (Occupational Safety and Health) program. To create a safe and healthy work environment, occupational safety and health management are implemented to avoid work accidents by requiring every worker to use Personal Protective Equipment (PPE). This research aims to develop an immediate detection system for violations of Personal Protective Equipment (PPE) in the workplace using the Yolov8 Method and the Django web-based user interface framework. Yolov8 is one of the latest deep-learning object identification models while Django is the most popular Python developer framework. The system is designed to improve workplace safety and prevent accidents by monitoring compliance with PPE requirements. The research methodology involves literature study, image data collection, preprocessing, model training, and system deployment using the Django framework. There are four classes of detection based on the bounding box according to the specified color, the use of helmets and safety vests based on the red bounding box for helmets and blue for vests while when helmets and safety vests are not being used, based on green and yellow bounding boxes. The system successfully detected four PPE classes with an average accuracy of 82.3% from 230 test data, a mAP50 value of 81.6%, a precision value of 90.3%, and a recall value of 75.1%. The findings from this study indicate that the developed system can effectively improve occupational safety and health management. However, there is a detection error factor caused by the lighting and specifications of the camera used. Future research can focus on integrating the system with other work safety systems to provide a comprehensive solution for accident prevention.
Circuit Modeling of Dual Band MIMO Diversity Antenna for LTE and X-Band Applications
Authors: Gambo A. Aminu , Kolawale S. F. , Saminu Sani , Danladi Ali , Jabire Adamu Halilu
Published: January 2025

This paper presents a study on developing a dual-band antenna equivalent circuit model for X-Band and LTE applications. MIMO antennas play a crucial role in modern wireless communication systems, and understanding their impedance behavior is essential. This work proposes a dual-band lumped equivalent circuit model, utilizing gradient optimization based on antenna-simulated S-parameters in Advanced Design System (ADS). The four radiating elements of the MIMO antenna are accurately modeled, considering their geometry and the defected ground structure (DGS) effect, which enhances the antenna's isolation and low correlation coefficient (ECC). The calculated lumped equivalent circuit model is validated through rigorous simulation and measurement data, demonstrating consistency with the expected results. The experimental measurements show measured isolation exceeding 20 dB while achieving a maximum realized gain of 5.9 dBi and an efficiency of 87%. The developed model holds promise for improving the design and performance of MIMO antennas for various applications.
Strawberry Plant Diseases Classification Using CNN Based on MobileNetV3-Large and EfficientNet-B0 Architecture
Authors: Pramudhita Dyah Ajeng , Azzahra Fatima , Arfat Ikrar Khaera , Magdalena Rita , Saidah Sofia
Published: January 2025

Strawberry is a plant that has many benefits and a high risk of being attacked by pests and diseases. Diseases in strawberry plants can cause a decrease in the quality of fruit production and can even cause crop failure. Therefore, a method is needed to assist farmers in identifying the types of diseases in strawberry plants. Currently, there are many methods to assist farmers in identifying types of disease in plants, including strawberry plants. In this study, a system is proposed to be able to detect strawberry plant diseases by classifying the disease based on healthy and diseased strawberry leaf images. The proposed system is the Convolutional Neural Network (CNN) algorithm using MobileNetV3-Large and EfficientNet-B0 models to train pre-processed datasets. The results of this study obtained the best accuracy reaching 92.14% using the MobileNetV3-Large architecture with the hyperparameter optimizer RMSProp, epochs 70, and learning rate 0.0001. The percentage of the evaluation model using MobileNetV3-Large for precision, recall, and F1-Score achieved 92.81%, 92.14%, and 92.25%.  Whereas in the EfficientNet-B0 architecture, the best accuracy results only reach 90.71% with the hyperparameter optimizer Adam, 70 epochs, and a learning rate of 0.003. Then, the precision, recall, and F1-scores for EfficientNet-B0 reached 92.65%, 90.00%, and 90.37%. Overall, it presents fairly good results in classifying strawberry leaf plant disease. Furthermore, in future work, it needs to obtain higher accuracy by generating more datasets, trying other augmentation techniques, and proposing a better model.
Automated Detection of COVID-19 Cough Sound using Mel-Spectrogram Images and Convolutional Neural Network
Authors: Nafiz Muhammad Fauzan , Kartini Dwi , Faisal Mohammad Reza , Indriani Fatma , Saragih Triando Hamonangan
Published: January 2025

COVID-19 disease is known as a new disease caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) variant. The initial symptoms of the disease commonly include fever (83-98%), fatigue or myalgia, dry cough (76-82%), and shortness of breath (31-55%). Given the prevalence of coughing as a symptom, artificial intelligence has been employed as a means of detecting COVID-19 based on cough sounds. This study aims to compare the performance of six different Convolutional Neural Network (CNN) models (VGG-16, VGG-19, LeNet-5, AlexNet, ResNet-50, and ResNet-152) in detecting COVID-19 using mel-spectrogram images derived from cough sounds. The training and validation of these CNN models were conducted using the Virufy dataset. Audio data was processed to generate mel-spectrogram images, which were subsequently employed as inputs for the CNN models. The AlexNet model, utilizing an input size of 227x227, exhibited the best performance with the highest Area Under the Curve (AUC) value of 0.930303. This study provides compelling evidence of the efficacy of CNN models in detecting COVID-19 based on cough sounds through the utilization of mel-spectrogram images. Furthermore, the study underscores the impact of input size on model performance. The primary contribution of this research lies in identifying the CNN model that demonstrates the best performance in COVID-19 detection based on cough sounds. Additionally, this study establishes the fundamental groundwork for selecting an appropriate CNN methodology for early detection of COVID-19.
Implementation of Geographic Information System Based on Google Maps API to Map Waste Collection Point Using the Haversine Formula Method
Authors: Wirastuti Ni Made Ary Esta Dewi , Verlin Lino , Mkwawa Is-Haka , Samarah Khalid G.
Published: January 2025

Human life with all its activities cannot be separated from the existence of waste but the quality of post-consumption waste is generally still low. To convert waste into a more stable form and does not pollute the environment, it is required a precise waste collection system. Waste collection system is an important part of waste management. This study is proposed a geographic information system (GIS) application based on google maps Application Programming Interface (API) to map waste collection point using Haversine formula method. The application is designed to develop a waste collection system from households to Temporary Disposal Sites (TDS), quickly and accurately. The application can be used by households and waste taxi bike drivers to communicate when the households need the taxi bike drivers to pick the waste up to the temporary collection points. A geographic information system application based on google maps API used to display the location of the taxi bike driver, TDS and the location of the waste collection (household). Haversine formula is used to get the nearest waste taxi bike driver to the location of the request for waste transportation. The result of this research is an application that can monitor and track waste collection. Using black box testing, the system has run according to the functions and scenarios designed. Based on the testing the system usability scale results, the application obtains a score of 70.125 which indicates that the application is classified as good and acceptable to users.
Moral Damages of Children's Migration Trauma (Based on The Materials of The International Internship in The Area of Education and Humanities)
Authors: Virna Zhanna , Eyng Ana Maria
Published: January 2025

The article is devoted to the theoretical analysis of moral damages of children's migration trauma in the context of the exchange of experience based on the materials of international internship. The purpose of the presented article is an analytical review of developments on the problem of trauma of the migration resocialization of children in the context of preserving mental health and children's rights (based on the materials of the scientific internship under the program of postgraduate education in the area of education and humanities, PUCPR, Curitiba, Brazil). It is based on the method of bibliographic review of theoretical and empirical sources on this problem and the method of psychological modelling as a reproduction of the functional content of moral damages of children's migration trauma. The results include the presentation of the methodological architectonics of the migration problem within the framework of the theory of intersectionality and the concept of social categorization. It is noted that the experience of Brazilian migration policy is focused on basic service of the needs of migrant children within the educational and psychological space. The scientific position of A.M. Eng in the study of children's rights in humanitarian situations and the cultivation of intercultural school programs is presented in detail. Psychological support in the cross-cultural situation of migration is specified and the consequences of moral conflicts for the child within the framework of ethnopsychoanalysis and socio-cognitive theories of post-traumatic stress disorder are substantiated. It is emphasized to take into account the vulnerability of the child in experiencing the moral trauma of migration. The factors of moral damages of the migration trauma of children and signs of risk to their mental health are determined. The dependence of children's moral damages on the identification experience and migration project of parents is substantiated. The clinical activity of Brazilian psychologists is focused on cross-cultural psychotherapy, which is based on the complementary basis of transcultural characteristics of adult migrants and their children. The conclusions indicate that within the framework of the international scientific internship in the field of education and humanities (PUCPR, Brazil), it was possible to get acquainted with psychological and educational research practices of working with migrant children. Similar interdisciplinary practices can be successfully applied in Ukraine, because the war and related migration, resettlement and refugees actualize the issues of intercultural education and the introduction of cross-cultural psychotherapy.
Functional and Structural Features of Organizing the "Sense of Rightness" within the Structure of Personality
Authors: Bogachenko Yuliia
Published: January 2025

The article investigates the problem of organizing the "sense of rightness" in the structure of personality in the context of modern challenges, particularly the war in Ukraine, which has led to deteriorating psychological health, increased stress levels, and the emergence of various psychological symptoms. The authors emphasize the importance of internal harmony and authenticity of personality in the conditions of an increasing pace of life and informational influence. The concept of Carl Rogers' "organismic tendency," which focuses on the internal sense of rightness supported by a therapeutic environment, is examined. Approaches of other theorists, such as Leslie Greenberg, Robert Elliott, Erik Erikson, Lawrence Kohlberg, and Viktor Frankl, regarding the formation and maintenance of the "sense of rightness" are also analyzed. The study highlights the necessity of new therapeutic methods to support psychological resilience and personality development under modern stress factors, particularly through emphasizing the integration of emotions, self-awareness, and the search for deep meaning in life and the sense of rightness.
Status and Problems of Counseling Psychology in the Modern World and Ukraine
Authors: Bondarenko Aleksandr , Kucherovska Nataliia , Fedko Svitlana
Published: January 2025

The article is devoted to the current state, problems and opportunities for the development of counseling psychology in Ukraine based on a comparative analysis of the functioning of this field in other countries of the world. An analysis of the current state of counseling psychology in countries with a developed tradition in this field belonging to different cultural and civilizational contexts was carried out. On the basis of the Cochrane methodology with the application of SWOT analysis, the results of the study of strengths and weaknesses, potential threats and prospects for the development of counseling psychology in eight countries of the world: Austria, India, Israel, Canada, France, the Republic of South Africa, Japan and Ukraine are summarized. It was established that counseling psychology in Ukraine not only does not lag behind other countries in terms of the number of practices and qualifications of specialists, but also has a number of advantages, such as the presence of a network of psychological consultations and higher educational institutions that train psychologists, the functioning of professional associations and periodicals, review Law on Psychological Assistance, etc. The growth in demand for the services of counseling psychologists in Ukraine in connection with military actions, as well as the expansion of the possibilities of conducting consultations in the online format, is analyzed. However, the problem of financing higher education was revealed, which leads to a decrease in the quality of professional training of psychologists; the problem of contradiction between consultative approaches and mental, religious and behavioral traditions of society is discussed; political and socio-economic factors are analyzed, such as impoverishment of the population, a decrease in its cultural level, which complicates the work of psychologists and limits access to psychological help.
"Cross Paths": Once Again About the Relevance of a Combined Medical and Psychological Approach to a Person as a Client and a Patient at the Same Time
Authors: Kocharian Alexander , Barinova Nataliia
Published: January 2025

The article is devoted to rethinking the functions, duties and vectors of directing the efforts of practicing psychologists in the situation of psychological assistance to specific people suffering from hostilities, shelling, martial law, general traumatization caused by the military conflict. It is emphasized that the general circumstances of today put forward new requirements in the field of providing psychological services to the population. Their distinguishing feature is the impossibility of separating the actual psychological, medical, socio-economic and legal issues, although the specified aspects definitely have their own specifics. The difficulties with regard to the specific mental state of a person who turns to a psychologist or a family doctor are that it is often impossible to separate disorders of the somatic, mental or personal spectrum, so to speak, in their pure form. And only instrumental and laboratory tests, as well as psychodiagnostics, which objectify the complaints and/or requests of a person about bad health, can determine the defining aspect of the efforts of the relevant specialist (doctor, psychologist or social worker). It is emphasized that corrections should be introduced in the retraining of both psychologists and medical workers belonging to the primary health care sector, namely: in the retraining of psychologists, more attention should be paid to the medical aspects of understanding the course of stress, PTSD, altered emotional states, and personality pathology, somatogenic, etc. Instead, during the retraining of medical workers and doctors, it is necessary to strengthen the psychological nuances of understanding the experience of anxiety, emotional trauma, acute emotional reactions, the specifics of the action of protective mechanisms, etc. Only a comprehensive medical and psychological approach can optimally provide effective assistance to a person who has suffered in a traumatic situation. Unlike doctors, a psychologist-practitioner is not armed with clear protocols of actions in the situation of providing first-line psychological assistance. That is why it is necessary to develop indicative standards for determining the priority of providing psychological or medical services to a specific person in specific circumstances. At the same time, when choosing a consulting-psychotherapeutic paradigm, it is client-centered therapy that can be considered as a principled strategy that "unlocks" the hidden, implicit problems of client-patients, ensuring proper understanding by them and an appropriate attitude to both somatic, mental, and somatoform problems. , and somatogenic disorders. The latter creates the necessary compliance of the patient/client with the medical doctor and psychologist.
The Influence Of Hoop Media On Chest Pass Accuracy In Basketball
Authors: Rohaeni Finny , Gunawan Agus , Saepudin Nunuh , Susilawati Dewi
Published: January 2025

This research aims to determine the effect of hoop media on chest pass accuracy in basketball. Where students still make a lot of mistakes when passing, especially when doing the chest pass technique, so that the accuracy in passing the ball is not on target to teammates. Given these problems, this research attempts to create a training program to make it easier for students to do chest passes in the game of basketball using hoops. The method used is Quasi-Experimental. The population of this study were students who took part in basketball extracurricular activities at SDN Jatiendah Kab. Bandung. Data was collected through the pretest and posttest stages using the AHHPERD test research instrument. The final result of this research was Sig. 0.000 because a = <0.05, which means there is an influence of hoop media on the accuracy of chest pass targets in basketball. The magnitude of the influence of the hoop media on the accuracy of the chest pass target was obtained by correlation results, namely 0.598, which if entered in percent form becomes 59.8%. With these findings, it can be concluded that the application of training using hoops has a positive influence, and makes a strong contribution to students' ability to do chest passes on target using hoops.
Development of a Punching Pad Stand for Athletes in Martial Arts Sports
Authors: Sukendro Sukendro , Diana Fitri , Anjanika Yonifia
Published: January 2025

The development of facilities for self-defense training is increasing rapidly, but researchers see that there are still no facilities for training kick and punch reactions, especially in martial arts sports, which use manual methods with signals as a stimulus through the sense of hearing in training kick and punch reactions in athletes, apart from that, researchers have also not seen any punching pads that use electrical components based on random flip-flops arranged in a microcontroller circuit as a means of training punch and kick reaction speed in martial arts sports. This research aims to develop facilities or media for the physical components of kicks and punches in the form of a punching pad stand with electric technology based on random flip-flops for the Jambi City martial arts sport. The development of punching pad stands is included in research and development. The punching pad stands for martial arts sports was developed using the ADDIE (Analysis, Design, Development, Implementation, and Evaluations) development model. This development research resulted in an Electric Punching Pad Stand product based on Random Flip-Flops and trials have been carried out in both small-group trials and large-group trials. The results of the large group trial were that the product received a percentage score of 84.77% from the comfort aspect, 81.52% from the performance aspect, and 83.53% from the appearance aspect. Meanwhile, for the average accumulated value of the three aspects above, the product received an average value of 83.27% and can be categorized as "Decent" with the criteria "Good".
Improving Static Balance Skills in Elementary School Children Using Themed Balance Exercises
Authors: Fauziah Fenna , Wibowo Ricky , Stephani Mesa Rahmi
Published: January 2025

This study aims to improve balance skills in children by using themed balance exercises. This study used an experimental method of one group pre-test and post-test design. The population of this study were elementary school students in one of the elementary schools in Bandung with the ages of twelve years old.  The sampling technique in this study used purposive sampling with certain considerations, selected 25 students who were in the category of moderate and low balance skills. The measuring instrument to measure the level of balance of children using the flamingo balance test. After the intervention of themed balance training for 12 meetings with 4 meetings a week, the data were analysed using the dependent T test. The results showed that children's static balance skills improved significantly after provided with themed balance exercises for 12 meetings. Themed balance exercises provide a variety of fun balance movement exercises that are expected appropriate for twelve-year-old children.
The Effect Of Bomo Games Training On The Gross Motor Skills Of Slightly Impaired Children In Stake Special Schools in Karawang District
Authors: Wijayanti Lisna , Aulia Dany , Wijaya Habibi Hadi , Izzuddi Deden Akbar , Setiawan Muhammad Arief
Published: January 2025

The Bomo Games game is inspired by Bocce Ball Games, which aims to train the gross motor skills of mentally retarded children. These children experience obstacles in terms of motor focus due to their intellectual challenges. Even though their fine motor skills are trained every day at school, gross motor exercises are only done once a week. Therefore, they are involved in games such as Bomo Games which combine moves from the game of bocce. This study aims to evaluate the effect of Bomo Games training on improving motor skills in mildly mentally retarded children. The research design used a pre-experimental method (one group pre-test post-test) by providing treatment to all samples selected using purposive sampling. The research population consisted of two groups, namely SLB Negeri 1 West Karawang and SLB Negeri Karawang Regency.
Analysis of Community Participation And Satisfaction of Sports Open Space In The City of Makassar
Authors: Amal Nurhikma , Juhanis Juhanis , Hudain Muh. Adnan , Yasriuddin Yasriuddin , Kasmad Muhammad Rachmat
Published: January 2025

The purpose of the study was to determine the level of participation and community satisfaction with sports open space in Makassar. This type of descriptive research uses a survey analysis research design. The population is all visitors to sports open spaces in CPI, Pakui Sayang Park, Sudiang Gor and Macan Park with the number of samples used, namely 50 people with the sampling technique is a random system. The data analysis technique used is descriptive analysis, and categorization analysis through the SPSS 20.00 program at a significant level of 95% or α 0.05. The results showed that; (1) Analysis of the level of public participation in sports open space in Makassar City as follows; (a) The level of public participation in sports open space in CPI is in the Fasting category or 34%; (b) The level of public participation in sports open space in Pakui Sayang Park is in the Fasting category or 42%; (c) The level of public participation in sports open space in Gor Sudiang is in the Fasting category or 34%; (d) The level of community participation in sports open space at Macan Park is in the Less Fasting category or 32%; and (2) Analysis of the level of community satisfaction with sports open space in Makassar City as follows; (a) The level of community satisfaction with sports open space at CPI is in the Fasting category or 38%; (b) The level of public satisfaction with sports open space in Pakui Sayang Park is in the Fasting category or 36%; (c) The level of public satisfaction with sports open space in Gor Sudiang is in the Fasting category or 34%; and (d) The level of public satisfaction with sports open space in CPI is in the Less Fasting category or 36%. The conclusion of the level of public participation and satisfaction with sports open space in CPI is in the satisfied category, in Pakui Sayang Park is in the satisfied category, in Gor Sudiang is in the satisfied category, and Taman Macan is in the less satisfied category.
Implementation of Wall Slide Exercise (WSE) and Neuromuscular Taping (NMT) for Post Reconstruction of Anterior Cruciate Ligament (ACL): Case Report
Authors: Rizal Yose , Selviani Iit , Munir Ruswaldi , Prasetiani VIna Eka
Published: January 2025

Anterior Cruciate Ligament (ACL) injury is one of the most common knee injuries. ACL tears are more common when pivoting and abrupt direction shifts. Ruptures of the anterior cruciate ligament (ACL) can lead to aberrant knee joint mechanics and persistent degenerative joint change, torn meniscus, cartilage loss, and other knee. The role of physiotherapy in post-operative cases of ACL reconstruction is very important to avoid various possibilities that arise post-surgery, such as limited joint range of motion (stiffness), muscle weakness, swelling for a long time, and so on. A 24-year-old male patient as footballer came to Fisiohands Clinic, Pekanbaru, complaining of pain and stiffness in the knee. The history of the case as the patient played football and fell with the worst position leg in February 2024. The patient underwent surgery at a hospital in Pekanbaru city and then chose to undergo physiotherapy at the physio hands clinic. Rehabilitation training was carried out for 2 weeks. Before starting exercise, vital signs are checked first to clarify the patient's general condition. The training program is a combination of Wall Slide Exercise (WSE) and Neuromuscular Taping (NMT) for 2 weeks. Several physical examinations were performed, including a Goniometer range of motion assessment and a Visual Analogue Scale assessment for knee pain. Exercises for the rehabilitation of the anterior cruciate ligament (ACL) after surgery help to lessen discomfort and improve joint range of motion. After ACL reconstruction, the knee joint range of motion was improved and pain was reduced with physiotherapy intervention that included six sessions of Neuromuscular Taping (NMT) and Wall Slide Exercise (WSE).
EFFECT OF DRILL PASSING PRACTICE ON THE LEVEL OF PASSING ACCURACY IN FUTSAL GAMES OF FUTSAL EXTRACURRICULAR PARTICIPANTS SMP NEGERI 2 SUNGGUMINASA
Authors: Malik Farid Giffari , Badaru Benny , Arimbi Arimbi , Hudain Muh. Adnan , Sudirman Sudirman
Published: January 2025

This study aims to determine the effect of passing drill training on the level of passing accuracy in futsal games. This research is a type of experimental research. The population of this study were extracurricular futsal students of SMP Negeri 2 Sungguminasa with a total research sample of 25 athletes using the total sampling method. The data analysis technique used is descriptive analysis technique using Analysis Of Variance (ANOVA) with a significant level of 0.05. The results showed that the effect of passing drill training on the passing accuracy of extracurricular students of SMP Negeri 2 Sungguminasa had an influence with a significant value of 0.000 and a tcount value of -17.321. The conclusion is that the drill training method can have a significant effect on the passing ability of futsal extracurricular participants at SMP Negeri 2 Sungguminasa.
The Effectiveness of Jump To Box Exercises on Increasing the Power of Leg Muscles in Volleyball Players
Authors: Tang Aco , Cholifah Ifanny Nur , Thahir Muh , Lestari Virny Dwiya
Published: January 2025

Muscle power is the ability of muscles to perform their strongest contractions at maximum speed. This study aims to determine the effect of Jump Box training on increasing muscle explosiveness in volleyball players of SMAN 21 Makassar. This type of research is a quasi-experimental with a nonequivalent pre-test – post-test control group design approach, which was carried out at SMAN 21 Makassar with a population of 28 people who met the inclusion criteria divided into 2 groups with a total sampling technique, namely the experimental group given Jump To Box exercises and the control group without jump to box exercises. This study uses the Vertical Jump Test to measure the increase in muscle explosiveness. The data obtained from the Shapiro-Wilk normality test with a result of p> 0.05, the influence test used was a paired sample t-test with results in both groups, namely p = 0.000 (p <0.05) which means that both experimental and control groups have an effect and can provide significant results on muscle explosive power. Then based on the independent sample t-test, the p-value = 0.005 (p <0.05). Because the p-value = 0.005 <0.05 means that there is a significant difference between the experimental group with Jump To Box training and the control group without Jump To Box training on increasing muscle explosive power. The conclusion of this study is Jump To Box exercise is effective on increasing muscle explosiveness in volleyball players.
The Effect Of Body Weight Training Crunch And Leg Raises On The Body Weight Of Residents Of Rachita Garden 3 Housing
Authors: Jaya Suherman , Adil Ahmad , Kamaruddin Ilham , Hudain Muh. Adnan , Fahrizal Fahrizal
Published: January 2025

This study aims to: (1) determine the effect of body weight training crunch on the body weight of Rachita Garden 3 residents, (2) determine the effect of body weight training leg raises on the body weight of Rachita Garden 3 residents, and (3) determine the difference in the effect of body weight training crunch and leg raises on the body weight of Rachita Garden 3 residents. This study is an experiment with a research design that uses a two-group pretest-posttest design. The population used is male residents of Rachita Garden 3 housing with sampling based on their body mass index of 12 people. The division of groups in this study was by ordinal pairing. Group I used bodyweight training crunch exercises while group II used bodyweight training leg raises exercises. The results of the study showed that: (1) there was a significant effect of body weight training crunch exercises on the weight of Rachita Garden 3 residents, with a t-value of 10.954 > t table 2.570 with a significance of 0.001, (2) there was a significant effect of body weight training leg raise exercises on the weight of Rachita Garden 3 residents, with a t-value of 6.892 > t table 2.570 with a significance of 0.001, and (3) there was a difference in the influence of the difference in numbers where bodyweight training crunch exercises had a greater effect than leg raises on the weight of Rachita Garden 3 residents, with an average weight loss of body weight training crunch 0.8 > body weight training leg raises 0.6 which had an average difference of 0.2. So it can be concluded that bodyweight training crunch is slightly superior in weight loss compared to bodyweight training leg raises.
Sociology of Sponsorship Health Controversy In The Sports Industry
Authors: Dagradi Eric Mayo , Kumaat Noortje Anita , Wismanadi Himawan , Saraswara Bella Shasi , Kumala Asami Rietta
Published: January 2025

Sponsorship in sports is very important because it allows the development of athletes, and teams, and has a major impact on the economy. Sponsorship allows companies to align themselves with the values, emotions, and excitement of sports. Types of sports sponsorship include event sponsorship, team sponsorship, and athlete sponsorship. In Indonesia, cigarette sponsorship in sports is still a topic of debate because it is related to social, economic, health, and cultural aspects. Cigarette sponsorship in sports also raises a contradiction between the message conveyed by sports and the negative health impacts caused by smoking. Sociological analysis is very important to understand the impact and implications of sports sponsorship by cigarette companies.
The Effect of Pubg Gaming Intensity on Verbal Violence Behavior
Authors: Rahmawati Ita , Kumaat Noortje Anita , Wismanadi Himawan
Published: January 2025

This study aims to analyze the influence of PUBG gaming intensity on verbal violence behaviour in adolescents in Indonesia. In the modern era of the 21st century, technological developments, especially in the video game industry, have influenced social behaviour, especially among the younger generation. With more than 100 million active players in Indonesia, PUBG Mobile is one of the most popular games that has the potential to trigger aggressive behaviour. The research method used is quantitative with an explanatory approach, which tests the relationship between the free variable (PUBG game playing intensity) and the bound variable (verbal violent behaviour). The results of the analysis showed that there was a significant influence between the intensity of playing PUBG games on verbal violence behaviour, with a significance value of 0.000 < 0.05. These findings are in line with the General Aggression Model which states that the more often a person plays violent games, the higher the level of verbal aggression shown. This study concludes that parental supervision and social environment also play an important role in shaping adolescent behaviour. Therefore, prevention and education efforts are needed for the public to reduce the negative impact of online games.
The interest of Grade IV, V, and VI Students in Playing Football at Sarroanging Inpres Elementary School, Bungaya District, Gowa Regency
Authors: Saleh Muhammad Syahrul , Saleh M. Sahib
Published: January 2025

Interest is one element that plays an important role in making a decision. The data collection method in this study used a survey method with data collection techniques using questionnaires. Questionnaires are divided into two types, namely closed questionnaires and open questionnaires. In this study, the authors chose a closed questionnaire as an instrument for collecting research data. The results of this study were a study of students' interest in playing football, the data was disclosed using a questionnaire consisting of internal factors including interest, attention, and activity, and external factors including family, school, and environment. Data were analyzed using percentage descriptions presented in the form of tables and diagrams using a Likert scale with five alternative answers, namely: strongly agree (SS), agree (S), Doubtful (R), disagree (TS), and Strongly disagree (STS). The results of this study reveal what things are indicators of student interest in playing football, internal factors, namely the first: An indicator of interest in which students' interest in playing football if measured from a Likert scale, the most chosen is (SS ). and the lowest is (STS) with a percentage of 9%. Furthermore, external or external factors, namely: the highest family indicator (S) with a percentage of 29% and the lowest (STS) 7%, the most chosen school indicator (S) with a percentage of 35%, and the lowest is ( STS) 7%, the most chosen Environmental Indicator is (S) with a percentage of 31% and the lowest (STS) 10%.
The Effect Of Circuit Training On Cardiovascular Endurance In The Rasoex Cikarang Basketball Team
Authors: Pahlevi Reza , Setiawan Muhammad Arief , Dewi R. Retna Kinanti , Wijaya Habibi Hadi , Aulia Dany
Published: January 2025

Basketball is a sport that relies on individual skills and teamwork in attack and defence. One important component in the success of a basketball game is physical condition, especially cardiovascular endurance. Good cardiovascular endurance allows an athlete to maintain optimal physical performance in high-intensity matches. This study aims to examine the effect of Circuit Training on increasing cardiovascular endurance in the Rasoex Cikarang basketball team. The research method used is a quantitative approach with a Purposive Sampling technique involving 13 participants. The training program was carried out for 4 weeks with 16 training meetings carried out routinely. Before and after the training program, cardiovascular endurance was measured to determine the effect of training on its improvement. The data obtained were analyzed using SPSS 24 with the Paired T-Test to see the difference in cardiovascular endurance scores before and after training. The results showed that there was a significant increase in the cardiovascular endurance of participants, with an average increase of 7.43% after participating in Circuit Training. These findings indicate that Circuit Training can increase cardiovascular endurance capacity, which has a positive effect on the performance of basketball athletes, especially in facing high intensity during matches. Thus, Circuit Training can be an effective training method for improving the physical endurance of basketball athletes
The Relationship Between Physical Activity and Mental Well-being: An Empirical and Theoretical Study
Authors: Munthe Irwan Salomo , Rendi Rendi , Meri Meri , Setiawan Muhammad Arief
Published: January 2025

This study aims to analyze the relationship between physical activity and mental well-being among students of the Sports Science Department at Universitas Singaperbangsa Karawang (UNSIKA). The research employed a quantitative approach with a correlational design, involving 100 respondents selected through stratified random sampling. Data were collected using the International Physical Activity Questionnaire (IPAQ) to measure physical activity levels and the Warwick-Edinburgh Mental Well-being Scale (WEMWBS) to assess mental well-being. The findings revealed a significant positive correlation (r = 0.62, p < 0.01) between physical activity and mental well-being. Students with higher physical activity levels demonstrated better mental well-being, characterized by optimism, energy, and the ability to manage stress. Conversely, those with lower physical activity levels reported reduced mental well-being, including symptoms of anxiety and depression. Furthermore, the study highlighted the negative impact of prolonged sitting (over 5 hours daily) on mental well-being, emphasizing the importance of integrating physical activity into daily routines. The study concludes that physical activity plays a vital role in enhancing mental well-being among university students. It recommends increased participation in moderate to vigorous physical activities and reduced sedentary behaviour to improve overall quality of life. Future research should explore additional variables influencing mental well-being to provide a more comprehensive understanding of the topic.