bluuebunny/crossref_metadata_2025 huggingface dataset:
Extensive Review on Multiple Disease Detection using Machine Learning
Authors: Bansod Geetanjali
Published: November 2024

Diagnosing diseases rapidly are critical for improving patient outcomes, yet the usual diagnostic pathway causes significant delays due to extended waiting periods between sessions and advanced diagnostic tools. This review paper presents a study on the application of machine learning algorithms for multi-disease identification utilizing crowdsourced symptoms and a web-based platform. In this study, we want to investigate how machine learning algorithms might enhance diagnosis speed and accuracy by predicting diseases based on symptom data. Integrating such a technology into practice workflows can assist healthcare providers in prioritizing testing procedures based on detected risk, allowing for quicker patient diagnosis and treatment. Existing literature on machine learning applications in disease detection Challenges prevailing today for multidisease prediction currently covered within the review. In the end, this application potentially stands to improve patient care access by eliminating complex cases and thereby freeing up clinical expert time for more difficult patients as well as data-driven insights that can lead to better healthcare outcomes.
Detection of Parkinson’s Disease Using MRI and Spiral Images
Authors: Waykule Prof. V. V.
Published: November 2024

Early diagnosis of Parkinson’s disease (PD), a neurodegenerative disease characterized by movement disorders, can be challenging. The project aims to develop a machine learning-based model for early diagnosis of Parkinson’s disease using MRI images and spiral models. Using advanced image processing techniques and machine learning algorithms, we analyze MRI scans to identify changes in the brain associated with Parkinson’s disease. In addition, the spiral test is a simple drawing technique used to identify poor motor skills, another early indicator of the disease. This work involves collecting and preprocessing MRI and spiral images and extracting features from both data types. To make the best decision, various machine learning models were used and compared, including convolutional neural networks (CNN) for MRI images and traditional methods for spiral graphs. Performance metrics such as accuracy, precision, recall, and F1 score were used to evaluate the model’s performance distinguishing PD patients from healthy individuals. This approach provides a non-invasive early diagnosis method for PD, which can help in timely treatment and control of the disease. The integration of MRI and motion analysis provides a more comprehensive diagnostic tool with useful clinical outcomes
Dinámica estacional de pasto banderita [Bouteloua curtipendula (Mich.) Torr.] en Chihuahua, México: enfoque geoestadístico
Authors: Iracheta-Lara Ireyli Zuluamy , Morales-Nieto Carlos Raúl , Méndez-Zamora Gerardo , Marquez Godoy Jaime Neftalí , Villarreal-Guerrero Federico
Published: November 2024

Los datos fenológicos observados en tierra, junto con datos satelitales, son herramientas cruciales para identificar la estación de crecimiento de la vegetación. Utilizando un enfoque geoestadístico, este estudio tuvo como objetivo determinar la dinámica estacional del pasto banderita [Bouteloua curtipendula (Michx.) Torr.] en Chihuahua y su relación con la variabilidad climática. Se calcularon las métricas del inicio (SOS) y del final (EOS) de la temporada de crecimiento de esta especie en el estado de Chihuahua. Además, se evaluó el efecto de la temperatura del aire y la precipitación en la dinámica del SOS y el EOS durante los periodos 2000-2010 y 2011-2019. Los tratamientos consideraron las tres regiones ecológicas (desierto, valles centrales y sierra) y los años de registro. El estado se estudió a través de tres zonas ecológicas: desierto (D), valles centrales (CV) y sierra (S) para su comparación. El SOS y el EOS del pasto banderita en cada zona se definieron anualmente a partir de datos Landsat durante el periodo 2000-2019, basándose en la dinámica del Índice de Vegetación de Diferencia Normalizada (NDVI). El SOS osciló entre mayo y junio (promedio de día juliano [doy]=174), mientras que el EOS osciló entre octubre y noviembre (promedio de día juliano [doy]=283). Se observó un retraso en el SOS en la zona D; el retraso en el crecimiento del pasto banderita en la estación primaveral puede deberse a una relativa escasez de agua, aunque la mayor temperatura en primavera facilita el cumplimiento de los requisitos térmicos para el crecimiento de la especie. Estos hallazgos sugieren que la variabilidad climática tiene un impacto significativo en la dinámica estacional del pasto banderita, lo que puede influir en las estrategias de manejo de estos ecosistemas.
Evaluación antihelmíntica in vitro de curcumina contra huevos y larvas de aislados de Haemonchus contortus con distinta susceptibilidad a ivermectina
Authors: Encalada-Mena Lisandro Alberto , López-Arellano Raquel , López-Arellano Maria Eugenia , Mancilla-Montelongo Maria Gabriela , Sandoval-Castro Carlos Alfredo Alfredo , Olmedo-Juárez Agustín , Torres-Acosta Juan Felipe de Jesús
Published: November 2024

El creciente problema de resistencia a los antihelmínticos (AHs) convencionales en poblaciones de nematodos gastrointestinales (NGI), ha motivado la búsqueda de alternativas para su control en los rebaños de ovinos y caprinos, como es el caso de los metabolitos secundarios de plantas. En el presente trabajo se evaluó la actividad AH in vitro de curcumina (CUR) contra tres aislados del nematodo de rumiantes Haemonchus contortus con diferente susceptibilidad a los AHs convencionales. Se utilizaron las pruebas in vitro de inhibición de la eclosión de huevos (IEH), inhibición de la migración larvaria (IML), inhibición del desenvaine larvario (IDL) y mortalidad a las 72 h de L3 sin vaina. Las pruebas se realizaron usando un intervalo de concentraciones de 0 - 8.5 μg CUR/ml. Solamente la prueba de IDL fue realizada con un intervalo de concentración de 0 - 17.3 μg CUR/ml. Se obtuvieron las curvas de concentración-respuesta en una regresión log-logística y se realizó un diseño completamente al azar mediante un ANOVA. La CUR no presentó actividad AH en las pruebas de IEH, IML y mortalidad, pero sí demostró efecto AH significativo en la prueba de IDL. Este efecto fue más potente contra el aislado FMVZ-UADY (CE50= 1.9 μg/ml, IC95% 1.58-2.31), seguido por el aislado Paraíso (CE50= 3.2 μg/ml, IC95% 2.69-3.81) y CENID-SAI, INIFAP (CE50= 7.0 μg/ml; IC95% 6.58-7.43). Se concluye que la CUR tiene efecto AH contra el desenvaine de las L3 de H. contortus pero no afecta la eclosión de huevos, la migración de L3 o la mortalidad de L3 sin vaina a las dosis evaluadas.
BCDNet: A Deep Learning Model with Improved Convolutional Neural Network for Efficient Detection of Bone Cancer Using Histology Images
Authors: Bolleddu Devananda Rao  , K. Madhavi
Published: November 2024

Among the several types of cancer, bone cancer is the most lethal prevailing in the world. Its prevention is better than cure. Besides early detection of bone cancer has potential to have medical intervention to prevent spread of malignant cells and help patients to recover from the disease. Many medical imaging modalities such as histology, histopathology, radiology, X-rays, MRIs, CT scans, phototherapy, PET and ultrasounds are being used in bone cancer detection research. However, hematoxylin and eosin stained histology images are found crucial for early diagnosis of bone cancer. Existing Convolutional Neural Network (CNN) based deep learning techniques are found suitable for medical image analytics. However, the models are prone to mediocre performance unless configured properly with empirical study. Within this article, we suggested a framework centered on deep learning for automatic bone cancer detection. We also proposed a CNN variant known as Bone Cancer Detection Network (BCDNet) which is configured and optimized for detection of a common kind of bone cancer named Osteosarcoma. An algorithm known as Learning based Osteosarcoma Detection (LbOD). It exploits BCDNet model for both binomial and multi-class classification. Osteosarcoma-Tumor-Assessment is the histology dataset used for our empirical study. Our the outcomes of the trial showed that BCDNet outperforms baseline models with 96.29% accuracy in binary classification and 94.69% accuracy in multi-class classification.
Revolutionizing Facial Recognition: A Dolphin Glowworm Hybrid Approach for Masked and Unmasked Scenarios
Authors: Naresh Babu KOSURI  , Suneetha MANNE
Published: November 2024

Machine learning has several essential applications, including classification and recognition. Both people and objects may be identified using the Machine learning technique. It is particularly important in the verification process since it recognizes the characteristics of human eyes, fingerprints, and facial patterns. With the advanced technology developments, nowadays, Facial recognition is used as one of the authentication processes by utilizing machine learning and deep learning algorithms and it has been the subject of several academic studies.  These algorithms performed well on faces without masks, but not well on faces with masks. since the masks obscured the preponderance of the facial features. As a result, an improved algorithm for facial identification with and without masks is required. After the Covid-19 breakout, deep learning algorithms were utilized in research to recognize faces wearing masks. Those algorithms, however, were trained on both mask- and mask-free faces. Hence, in this, the cropped region for the faces is only used for facial recognition. Here, the features were extracted using the texture features, and the best-optimized features from the glow worm optimization algorithm are used in this paper. With these features set, the hybrid Dolphin glow worm optimization is used for finding the optimal features and spread function value for the neural network. The regression neural network is trained with the optimized feature set and spread function for the face recognition task. The performance of the suggested method will be compared to that of known approaches such as CNN-GSO and CNN for face recognition with and without masks using accuracy, sensitivity, and specificity will next be examined.
SGLT 2 Inhibitors: Mechanisms, Clinical Applications, and Future Directions
Authors: Çakmak Abdülkadir
Published: November 2024

Due to the progressive and painful nature of type 2 diabetes (T2D), treatment may require periodic evaluation of patients, intensifying glucose-lowering therapy when glycaemic targets are not achieved and testing new methods. Among the newer classes of glucose-lowering drugs, sodium-glucose cotransporter 2 inhibitors (SGLT2is), which increase urinary glucose excretion to reduce hyperglycaemia, have made an impressive entry into the T2D treatment arsenal. Given their unique insulin-independent mode of action and favourable efficacy-adverse effect profiles, and their apparent benefits on cardiovascular-renal outcomes in intermediate-high-risk T2D patients, which have led to the updating of guidelines and product monographs, the role of this drug class in multidrug regimens is promising. However, despite much speculation based on pharmacokinetic and pharmacodynamic properties, physiological rationale and potential synergism, the glycaemic and pleiotropic effects of these agents when combined with other classes of glucose-lowering drugs remain largely under-researched. Therefore, this review discusses the mechanisms, clinical applications and future therapeutic role of SGLT2 inhibitors with a review of the literature.
Quantifying Emotional and Value Changes in Chinese and Global Hit Music Lyrics over 5 Years：Using Word Embedding
Authors: wei ziyue , Shen Yan , Xu Bei
Published: November 2024

What has been the impact of the epidemic, a negative life event shared
globally, on human emotions and values during these five years? As a
cultural product, are pop song lyrics, which are thought to reflect
emotions valued by many members of society, responsive to the impact of
shared negative life events on society? To address this question,
sentiment analysis and thematic modeling of annual Chinese and foreign
lyric texts over a five-year period from 2019-2023 revealed inflection
points in the pattern of emotional content embedded in the lyrics over
time correlated with national policies regarding control.
Intencionalidades pedagógicas en la docencia universitaria
Authors: Orrego Noreña Jhon Fredy , Gómez Gama Janeth Esmeralda
Published: November 2024

Se buscó comprender las intencionalidades que imprime el maestro a su enseñanza y los contenidos que enseña en la formación profesional. Se abordó desde la fenomenología de la práctica. La muestra fue de 12 maestros de la Universidad del Quindío. Los resultados destacan la manera en la que el maestro agencia los conocimientos de las carreras profesionales, a la vez que suma en el trabajo de profundización en los valores y principios del ser humano; advierte el desarrollo de habilidades para la vida y de nuevas formas integración social. Se reconocen los componentes que configuran la intencionalidad detrás de la enseñanza: la formación integral, las acciones del maestro como lecciones para los futuros profesionales y la relación educativa base de acción del maestro.
Comportamiento de biomarcadores fisiológicos de árbitros con respecto a partidos de fútbol oficiales
Authors: Valencia López Juan Daniel
Published: November 2024

En el fútbol se ha investigado ampliamente a los jugadores y diferentes aspectos de esta disciplina, así mismo, en los últimos años aparece la tendencia de estudio con árbitros de fútbol por la incidencia que pueden llegar a tener en los resultados de los partidos. En Colombia no se encontraron antecedentes en partidos oficiales que estudien aspectos como la distancia recorrida, el comportamiento de la frecuencia cardiaca, el estado de hidratación y otros elementos que pueden ayudar a caracte- rizar a esta población y crear estrategias de intervención más acorde a sus necesidades. Objetivo: establecer la carga física y el comportamiento de biomarcadores asociados a la carga física en árbitros de fútbol. Métodos: se realizó un estudio descriptivo, de corte transversal en el cual se contempló una muestra de 15 sujetos que fueron elegidos de forma intencionada, previamente firmando el consentimiento informado. Se realizó un segui- miento constante mediante GPS y se monitorizó la frecuencia cardiaca; además, se midió la masa, la percepción del esfuerzo y la gravedad específica de la orina antes, en el entretiempo y después de un partido de fútbol. Resultados: los árbitros centrales y asistentes presentaron diferencias entre carga externa e interna de acuerdo con su práctica específica. Conclusiones: se encon- traron diferencias entre árbitros y árbitros asistentes con relación a la carga interna y externa, al comparar con otros antecedentes y se pudieron apreciar menores distancias recorridas por parte de los árbitros del Quindío.
Perforación direccional, geometría analítica, trigonometría y GeoGebra
Authors: Jiménez Moreno Marcos Andrés , Hernández Barajas José Roberto , Jiménez-Hernández José del Carmen , Gómez Torres Fabiola del Carmen
Published: November 2024

En un mundo globalizado y moderno como el de hoy en día, el consumo del petróleo y gas, forma parte esencial de actividades sociales, económicas e industriales, ha obligado a las empresas petroleras a realizar exploraciones en lugares más inhóspitos y de difícil acceso, exponiendo herramientas, equipos  y  personal a condiciones extremas tanto en operaciones y condiciones climáticas, significando un mayor riesgo y exigiendo a los ingenieros de diseño de pozos a desarrollar nuevos métodos de perforación, como por ejemplo: la perforación vertical, direccional, horizontal y multilaterales. En México, la región petrolera terrestre la integran los estados de Tabasco, Campeche, Veracruz y Tamaulipas, la región marina se extiende sobre el Golfo de México.
La perforación direccional, es uno de los métodos más utilizados en la exploración de los hidrocarburos, académicamente muy pocas instituciones de educación superior, que ofertan la carrera de Ingeniería petrolera, poseen los equipos, simuladores, softwares, etc., que permitan asegurar, su enseñanza y aprendizaje. En el presente artículo se muestra la aplicación de las matemáticas básicas como, el teorema de Pitágoras, la trigonometría y la geometría, aplicada en la descripción y esquematización de la trayectoria de una perforación direccional, acompañado de un recurso desarrollado en GeoGebra, que se caracteriza por ser un programa de matemáticas libre, que puede utilizarse en dispositivos móviles, incluso sin conexión a Internet, está disponible en diversas plataformas, permite trabajar en 2D y 3D. En él, se logró integrar los conceptos básicos de la perforación direccional y las variables que permiten esquematizar su trayectoria.
Empowering Early Education: Developing a Hijaiyah Game for Preschoolers
Authors: Yulianto Ade Rizki , Hendri Ainayah Syifa , Sudaryanto Aninditawidagda Pandam , Hanif Muhammad Iqbal
Published: November 2024

Early education is very important to create a basis for learning and holistic development in preschool children. So we need interesting and interactive learning media to maximize children's learning potential. This research aims to help children achieve learning goals and dig deeper about how to develop interactive hijaiyah games that are creative and in accordance with the characteristics of preschool-aged children so that they can achieve learning goals, where educational games are designed to improve students' ability to think critically and increase their concentration. The system was tested using Black Box and the System Usability Scale (SUS) Testing. The results of system testing show that each button and feature in the educational game application for learning hijaiyah letters runs well and is suitable for preschool-age children with the SUS.
The Implementation of Machine Learning for Software Effort Estimation: A Literature Review
Authors: Hariyanti Eva , Paradista Mirtha Aini , Goyayi Maria Lauda Joel , Arthalia Arthalia , Shabirina Detria Azka , Nurjanah Endang , Husna Oktavia Intifada , Yahrani Fakhrana Almas Syah
Published: November 2024

Effort estimation is pivotal for the triumph of software development endeavors. The appropriate forecasting approach is vital for aligning software project effort estimation outcomes. This process aids in efficiently distributing resources, charting project strategies, and facilitating informed choices in IT Project Management. Machine learning, a facet of artificial intelligence (AI), is dedicated to crafting algorithms and models that empower computers to enhance their performance based on data and facilitate predictions or decision-making. This study discusses the implementation of machine learning in software development effort estimation. We collected 558 relevant papers on software effort estimation and machine learning techniques. After a quality review process, we identified 40 articles for in-depth review. We categorized machine learning techniques into supervised, unsupervised, and reinforcement learning. The results indicate that using ensemble techniques in supervised and unsupervised learning can improve the accuracy of software effort estimation. Artificial Neural Networks, Regression, K-Nearest Neighbors, Decision Trees, Random Forest, and Bootstrap Aggregation are the most commonly used methods. Ensemble techniques also aid in selecting relevant features and preprocessing data to enhance model performance. This study provides insights into implementing machine learning techniques to estimate software effort and highlights the advantages of ensemble technique.
Effect of Chatbot-Assisted Learning on Students’ Learning Motivation and Its Pedagogical Approaches
Authors: Septiyanti Nisa Dwi , Luthfi Muhammad Irfan , Darmawansah Darmawansah
Published: November 2024

Abstract- The use of chatbots in the learning process has been increasingly investigated and applied. While many studies have discussed the chatbot's ability to motivate students' interest in learning, few have examined whether students' perception of learning affects the effectiveness of chatbots and the pedagogical approach taken by chatbots as conversational agents during the learning process. There is a need for new analysis to capture the effects of Chatbot-Assisted Learning (Chatbot-AL) and student-chatbot conversations. In an eight-week semester, 48 first-year undergraduate students participated in a chatbot-assisted learning environment integrated into an engineering course. Data were collected through questionnaires on students' learning motivation and discourse in chatbot conversations. Statistical non-parametric analysis and Epistemic Network Analysis (ENA) were used to explore the research questions. The results showed that students with high learning perception had better learning motivation using chatbot-AL than students with low learning perception. Additionally, most of the questions asked by students were aimed at receiving emotional support through casual conversation with the chatbot. Finally, the implications, limitations, and conclusions were discussed.
Approach Integration Design Sprints to Design Thinking in Learning Management System Sakattaku
Authors: Nida Siti Nabilah , El Akbar R Reza , Rahmatulloh Alam
Published: November 2024

The Ministry of Education and Culture has introduced a new phase of its independent learning policy called the Movement Organization Program (POP). As a participant in POP, the Sakata Innovation Center Foundation offers a Saung Coding training program that combines hybrid learning methods, including utilizing the Sakattaku Learning Management System (LMS) platform. However, feedback from teachers and school principals indicates that 45% of the respondents (20 out of 45) faced difficulties and discomfort while using the LMS. The user interface (UI) and user experience (UX) are crucial in enhancing the system's functionality and overall user satisfaction. Hence, this research aims to analyze and develop a plan to implement improvements in the UI/UX of the sakattaku.com LMS. The study also involves testing the system and recommending design enhancements. By prioritizing UI and UX, the research combines the compatibility of Design Thinking and Design Sprint methodologies. The final findings indicate that 9 of 15 expert users completed the assigned scenario tasks successfully. The User Experience Questionnaire (UEQ), administered to a sample of 45 individuals, yielded positive impressions across all assessment aspects, with particular improvement noted in the clarity aspect, which transformed from a below-average rating to an excellent rating. Additionally, the novelty aspect exhibited the highest positive difference, with a value of 75.6%.
Enhanced Image Classification by Eliminating Outliers with the Combination of Feature Selection and K-means Techniques
Authors: Sevani Nina , Cuvianto Lukas , Octaviany Jessica
Published: November 2024

Accurate image classification will yield valuable information to support decision-making. Support Vector Machine (SVM) is a widely used technique to achieve high classification accuracy. However, data outliers can reduce the SVM’s accuracy. To resolve this problem, the K-Means clustering method is used to eliminate the outliers by checking the proximity between data and clustering the data. Nevertheless, one of the challenges of using K-Means is the sensitivity of the initial centroid selection which is done randomly. Therefore, this study combines the use of K-Means, feature extraction with VGG-16 deep learning architecture, and feature selection using the Chi2 technique to get better classification accuracy. The combination of these methods is empirically proven to increase the accuracy of three image dataset about 20%. The results demonstrate that using these methods in conjunction can also reduce the amount of time needed for image classification. Nevertheless, label information is not taken into consideration in this study. Therefore, in the future, this research can still be developed by applying other standards and adding information labels in the feature selection process.
Implementing Bayes’ Theorem Method in Expert System to Determine Infant Disease
Authors: Muslimah Virasanty
Published: November 2024

The infant’s immune system requires parental attention and is recommended to be checked regularly by health professionals. These diseases suffered by infants are Acute Respiratory Infections (ARI), Diarrhea, Acute Pharyngitis, Scabies, and Allergic Contact Dermatitis (ACD). Treatment can be provided at the public health center (Puskesmas), although there is still a general shortage of specialist doctors and no system to help diagnose diseases suffered by infants. Bayes’ Theorem is a rule that uses probability to make the best decision based on available information. This study makes a diagnosis of the disease suffered by the baby with the aim that the disease can be treated early by using the Bayes’ Theorem method. Based on the scenario that babies who experience symptoms of cold cough, itchy, and runny nose are then calculated using the Bayes’ Theorem method, it is concluded that the baby is suffering from Scabies. Bayes’ Theorem method, which was tested on 30 data, was found to have an accuracy value of 0.89 or 89%. The infant disease expert system using the Bayes’ Theorem method makes it easier for parents to find out the disease in their baby so that they can take action on the symptoms that appear.
The Role of the Code of Ethics and Code of Conduct in Maintaining the Honor and Dignity of Judges
Authors: Lubis Andi Hakim , Zulyadi Rizkan , Pinem Serimin , Siagian Fahrizal S. , Muazzul Muazzul
Published: November 2024

The public has high expectations of judges and the judicial system, given that the judiciary is an institution authorized to decide cases and provide justice. However, in recent years, the public has been watching the behavior of judges and the quality of their decisions in adjudicating cases. Not a few judges' decisions invite criticism and cynicism, lead to public distrust, and form a considerable skepticism towards the judiciary. The research method used is normative legal research. This research is descriptive analytical. The data collection technique was carried out by means of literature study. The result of the research is that the role of ethical guidelines and judge behavior is needed in order to maintain and uphold the honor and dignity, as well as the behavior of judges. The code of ethics and behavior of judges is the core inherent in the profession of judges containing ethical and moral values, to realize a court that has good authority and dignity. Obstacles arise from within the judiciary itself, especially in relation to the lack of effective internal supervision, and the tendency to increase various forms of abuse of authority by judges. The implementation of the Code of Ethics and Code of Conduct for Judges must be carried out effectively without interference from various parties with interests. So as to be able to maintain the dignity, honor and nobility of the judicial profession.
 
Masyarakat memiliki ekspektasi yang tinggi terhadap hakim dan sistem peradilan, mengingat peradilan adalah lembaga yang berwenang untuk memutuskan perkara dan memberikan keadilan. Namun, dalam beberapa tahun terakhir, publik mencermati perilaku hakim dan kualitas putusannya dalam mengadili perkara. Tidak sedikit putusan hakim yang mengundang kritik dan sinisme, menimbulkan ketidakpercayaan masyarakat, dan membentuk skeptisisme yang cukup besar terhadap lembaga peradilan. Metode penelitian yang digunakan adalah penelitian hukum normatif. Penelitian ini bersifat deskriptif analitis. Teknik pengumpulan data dilakukan dengan cara studi kepustakaan. Hasil penelitian ini adalah peran pedoman etika dan perilaku hakim sangat diperlukan dalam rangka menjaga dan menegakkan kehormatan dan keluhuran martabat serta perilaku hakim. Kode etik dan perilaku hakim merupakan inti yang melekat pada profesi hakim yang mengandung nilai-nilai etika dan moral, untuk mewujudkan peradilan yang berwibawa dan bermartabat. Hambatan muncul dari internal lembaga peradilan sendiri, terutama terkait dengan belum efektifnya pengawasan internal dan kecenderungan meningkatnya berbagai bentuk penyalahgunaan wewenang oleh hakim. Penerapan Kode Etik dan Pedoman Perilaku Hakim harus dilakukan secara efektif tanpa adanya campur tangan dari berbagai pihak yang memiliki kepentingan. Sehingga mampu menjaga keluhuran martabat, kehormatan dan keluhuran profesi hakim.
Legal Analysis on Remixing Songs Using Artificial Intelligence (Ai) Technology
Authors: Abdad Saffa Abdullah , Safira Hafis Pradina  , Alisa Zahra Sakdiya  , Anissa Nur Zahrani
Published: November 2024

The rapid advancement of technology has profoundly influenced the music industry, with Artificial Intelligence (AI) emerging as a key tool, especially in song remixing. AI, which has been evolving since the 20th century, now plays a significant role in creative processes, leading to legal concerns regarding copyright, ownership, and the rights of original creators. In Indonesia, creative works, including music, are protected under Law Number 28 of 2014 on Copyright. This study investigates the legal implications of using AI technology for song remixing within the framework of Indonesian law. Employing a normative legal research method, the study examines statutory regulations, case studies, and legal precedents to assess the legal status of AI-generated remixes. The research aims to determine whether remixing songs with AI is permissible under Indonesian law and to identify the conditions under which such practices may violate copyright protections. The results indicate that AI-generated song remixes are legally permissible, provided they comply with existing copyright laws. The study identifies key challenges, particularly in defining the originality of AI-generated works and determining authorship. The findings underscore the necessity for clear legal guidelines to address the growing influence of AI in the creative industry. In conclusion, while AI offers innovative opportunities in music production, it also necessitates careful legal consideration to protect the rights of original creators. This study contributes to the ongoing discussion on AI and intellectual property, highlighting the need for legal frameworks that balance technological progress with the protection of creators' rights.
 
 
Setiap aspek dalam kehidupan sehari-hari sudah mulai berubah pada tahap ketergantungan terhadap teknologi. Salah satu yang popular dengan munculnya kecerdasan buatan atau dikenal dengan artificial intellengence disingkat dengan AI. Perkembangan AI dimulai sejak abad ke-20 hingga sekarang yang dapat dimanfaatkan manusia dalam pembuatan remix lagu. Negara Indonesia merupakan negara hukum, maka pengaturan penciptaan lagu pada Undang-Undang Nomor 28 Tahun 2014. Penulisan artikel ini menggunakan metode penelitian normatif dengan mengkaji undang-undang dan melihat kondisi praktik di masyarakat dengan perspektif undang-undang. Penulisan ini guna menambah wawasan dan pengetahuan terkait dengan remix lagu yang marak dilakukan dengan menggunakan kecerdasan buatan atau AI. Remix lagu dengan menggunakan teknologi AI menjadi suatu hal yang sah untuk dilakukan selama hal ini sesuai dengan setiap ketentuan yang sudah diatur dalam peraturan perundang-undangan.
Crime and Punishment in Ghana: The Need for Security Sector Reforms
Authors: Tuffour Kwadwo Addo , Adjanor Cecilia
Published: November 2024

It is incumbent on all governments the world over to provide security for the citizenry to develop their quality of life. Crime prevention strategies are therefore critical in achieving this laudable goal. Governments, security sector institutions and organizations encounter challenges in their quest to prevent crime in society. The prevention of crime has become a very significant national priority for public safety and security. Determining the main factors associated with the various criminal offences has the potential to lead to the development of strategies that can help prevent or reduce the incidence of crime. The laws of Ghana, especially the 1992 Republican Constitution uphold the respect for fundamental human rights, rule of law, fairness and lack of arbitrariness in the implementation of the law, especially in dealing with criminal offenders. The legal framework on criminal justice mandates institutions such as the Judicial Service, Ghana Police Service and the Prisons Service to ensure the prosecution and subsequent punishment of offenders. Improving democratic security sector governance (SSG) through security sector reform (SSR) is a key pre-requisite to achieving the ideals of crime prevention and punishment of offenders. Security sector reform aims to develop a secure environment for national development, good governance and community participation in crime prevention and punishment. This paper provides a comprehensive desk review of crime and punishment in Ghana from the perspective of the law and society and make appropriate recommendations for security sector reforms to enable  the country achieve the objects of crime prevention.
 
Semua pemerintah harus memberikan keamanan bagi warga negara untuk meningkatkan kualitas hidup mereka. Pencegahan kejahatan sangat penting untuk mencapai tujuan ini. Pemerintah, lembaga keamanan, dan organisasi harus berjuang untuk mencegah kejahatan. Pencegahan kejahatan merupakan tujuan utama keselamatan dan keamanan nasional. Mengidentifikasi penyebab utama tindak pidana dapat membantu mencegah atau mengurangi kejahatan. Tujuan dari penelitian ini adalah untuk menganalisis hukum di Ghana, terutama Konstitusi Republik 1992, untuk melindungi hak asasi manusia, supremasi hukum, keadilan, dan penegakan hukum yang tidak sewenang-wenang, terutama bagi pelaku. Lembaga Kehakiman, Kepolisian Ghana, dan Lembaga Pemasyarakatan harus menuntut dan menghukum para pelaku kejahatan di bawah hukum peradilan pidana. Penelitian ini menggunakan pendekatan penelitian yuridis normatif untuk mengkaji berbagai aturan tersebut. Hasil penelitian ini menunjukkan bahwa demokratisasi tata kelola sektor keamanan melalui reformasi sektor keamanan sangat penting untuk mencegah dan menghukum kejahatan. Analisis sosial dan hukum terhadap kejahatan dan hukuman di Ghana adalah tujuan dari artikel ini. Untuk memerangi tingkat kejahatan yang meningkat, sangat diperlukan teknik pencegahan kejahatan yang holistik dan terintegrasi di semua sektor ekonomi.
Preserving Customary Law in the Era of Globalization within Indonesian Society and Legal System
Authors: Fidaus Yuki Muhammad
Published: November 2024

Globalization has significantly influenced people’s lifestyles, often leading to a shift towards more modern and contemporary cultures, which many perceive as more practical than traditional local cultures. This shift poses a challenge to the preservation of customary law, which, despite not being formally recognized by the state, continues to exist within Indonesian society. The Indonesian legal system integrates customary law as one of its key components, with the process of law enactment deeply rooted in customs derived from ancient Indonesian societal practices. The primary objective of this study is to explore the importance of maintaining customary law in the era of globalization, particularly to ensure that future generations, especially the youth, understand and appreciate their customary laws as a distinctive feature of the Indonesian state. This study employs qualitative methods, utilizing library research and data collection techniques. The findings highlight the necessity of preserving and promoting Indonesian culture and customs to safeguard them for future generations and reinforce their role as a defining characteristic of the Indonesian state.
 
Pola hidup masyarakat dapat berubah menjadi lebih modern yang ditimbulkan oleh globalisasi. Oleh sebab itu kebudayaan baru banyak dipilih oleh masyarakat karena dinilai lebih kekinian dan praktis daripada kebudayaan adat setempat. Keberadaan hukum adat yang berada ditengah-tengah masyarakat tetap berlaku meskipun negara tidak menetapkan hukum adat tersebut. Salah satu sistem hukum Indonesia yang dianut adalah sistem hukum adat. Proses berlakunya hukum yang ada di Indonesia dipengaruhi oleh adat yang tercipta dari kebiasaan masyarakat Indonesia pada zaman dulu. Pentingnya mempertahankan hukum adat dalam era globalisasi ini bertujuan agar generasi-generasi selanjutnya khususnya generasi muda dapat memahami mengenai hukum adatnya dan sebagai ciri khas negara Indonesia. Dalam artikel ilmiah ini menggunakan metode kualitatif dengan cara teknik pengumpulan studi pustaka. Kita harus selalu melestarikan dan mengupayakan untuk mempertahankan budaya dan adat Indonesia untuk generasi generasi selanjutnya dan sebagai ciri khas dari negara Indonesia.
Harnessing Technology for Educational Assessment: An In-Depth Analysis of Quizizz in Economics Classrooms
Authors: Suranto  , Mafariha Niswatul , Fuadi Djalal
Published: November 2024

Technological advancements in classroom education are evolving at a rapid pace, offering a multitude of innovative applications, particularly for assessment purposes. This study offers a comprehensive analysis of the strengths, benefits, and limitations of the Quizizz assessment application within the context of high school economics education. Adopting a qualitative research methodology with a case study design, the study collects data through interviews, observations, and documentation. The participants in this research include economics teachers and 8th-grade and 11th-grade social science students from a private school in Indonesia who have utilized Quizizz for their economics classes. To ensure the validity of the data, both source and technique triangulation are employed. The data analysis process involves three main steps: data reduction, data presentation, and conclusion drawing. The findings reveal that the Quizizz application significantly enhances student motivation and engagement in the learning process. The benefits of Quizizz include creating an enjoyable learning environment and fostering a competitive spirit among students. However, the study also identifies some challenges, such as issues with internet connectivity and the potential for academic dishonesty, which have been addressed through various measures.
Exploring Ethnomathematical Geometry in Indonesian Shadow Puppetry Gunungan: Philosophical and Educational Implications
Authors: Djannah Miftakhul , Ishartono Naufal , Hayuni Argenti Agung , Mufidah Atikah , Sufahani Suliadi Fidaus bin , Waluyo Mohamad
Published: November 2024

This study delves into the philosophical dimensions of traditional architecture and the ethnomathematical geometry inherent in the mountains of shadow puppets, a significant aspect of Indonesia's cultural heritage. Utilizing a qualitative methodology with an ethnographic design, data were collected through observations and interviews with primary, secondary, and additional informants. The objective of this research is to uncover the mathematical concepts embedded in the mountains of shadow puppets, including geometry, algebra, arithmetic, and statistics, using an ethnographic approach that addresses four principal inquiries: "Where should I begin my investigation?", "How do I proceed with the search?", "How can I identify significant findings?", and "How do I interpret these findings?". The results indicate that among the four mathematical concepts investigated, only geometric concepts are present in the puppet mountains, as validated by a geometer. The geometric sub-concepts identified encompass (1) geometric transformations such as translation and reflection, (2) plane geometry including rhombuses, rectangles, triangles, and circles, and (3) congruence and symmetry. This research holds significant implications for enhancing students' mathematical education by incorporating geometric examples from local cultural contexts. Integrating ethnomathematics into school curricula can expand students' artistic horizons, boost their engagement in learning, and deepen their comprehension of mathematical concepts.
Does Learning Behavior Moderate the Influence of Emotional Intelligence and Spiritual Intelligence on Vocational Accounting Students?
Authors: Br Sinuhaji Yuli Anastasya , Zainal Andri , Darma Jufri , Herliani Rini , Ganda Tua Sibarani Choms Gary
Published: November 2024

Inadequate comprehension of accounting among students in class X who specialize in accounting at a vocational school in Medan is the primary concern of this investigation. The objective of this investigation is to ascertain the influence of emotional intelligence on the understanding of accounting. (2). The influence of spiritual intelligence on the understanding of accountancy. (3). The influence of spiritual intelligence and emotional intelligence on the understanding of accountancy. (4). Is the relationship between emotional intelligence and accounting comprehension moderated by learning behavior? (5). Is the relationship between spiritual intelligence and accounting comprehension moderated by learning behavior? This investigation is retrospective. The population for this study consisted of all 140 students enrolled in the Vocational Accounting program in class X. The research included a sample of 140 students, and the sampling approach used was complete sampling. The information was gathered using research interviews and accounting exam queries. The research questionnaire underwent initial testing to assess its validity and reliability. However, the accounting comprehension test questions were not subjected to such testing as they were derived from a multiple-choice test found in a school textbook with a legitimate ISBN. Subsequently, the data underwent processing utilizing the SPSS version 25 software. The research findings indicated that Emotional Intelligence and Spiritual Intelligence had a favorable and substantial impact on Accounting Understanding, with the influence being controlled by Learning Behaviour.
Israiliyyat Prophet Sulaiman In Tafsir Bi Al-Ma'thur: A Study Of Tafsir Al-Tashil Li 'Ulum Al-Tanzil By Ibn Juzay Al-Kalbi
Authors: Attarwiyah Nadiatul Maziyyah , Hasan Hamka , Sujoko Imam
Published: November 2024

This study aims to explore the existence of israiliyyat contained in Tafsir al-Tashil li 'Ulum al-Tanzil by examining the verses of the story of Prophet Sulaiman in the Quran. The source of israiliyyat is essential to study in order to avoid deviant understandings that can damage the order of the creed of Islam and emphasize the interpretations that eliminate the kema'shuman of the Prophets. This research uses a qualitative method with a literature study. Data were obtained through an interpretive method using the hermeneutic approach to understand the phenomenon of shifting meaning and semiotics to get the most optimal meaning. The results showed that the story of the Prophet Sulaiman was classified into five themes, with four themes considered as the category that provide information only, and one theme was considered as the category of israiliyyat, namely the interpretation in Surah Shad verse 34 by providing a rebuttal to the false story and cannot be used as a reference for interpretation. Ibn Juzay also quotes some israiliyyat stories without criticism and judgment as to whether to reject or accept their narration, which can be called tawaqquf. Nevertheless, Ibn Juzay's interpretation does not contradict the Qur'an and the Hadith, does not damage the order of Islamic religious principles, and does not eliminate the humanity of the Prophet Sulaiman
Analysing The Understanding Of Childfree Practitioners From Islamic Academia On The Hadith About Multiplying Offspring
Authors: Fitria Riri
Published: November 2024

Childfree has been a phenomenon that has attracted public attention since its emergence in 2013. There is opposition in society to childfree because it goes against human instinct and nature and Indonesian culture that understands many children's sustenance. This article investigates the childfree trend among Islamic academics, exploring their understanding of the hadith that explicitly encourages Muslims to multiply offspring by taking into account the social dynamics that influence this understanding and choice. The research uses a qualitative method with a descriptive approach, through in-depth interviews with seven Islamic academics who choose to go child-free. The results show that in understanding the hadith they tend to understand it contextually. This leads to the conclusion that the hadith is a recommendation, not an obligation, for married couples who have mental readiness, physical health, economic stability, and desire to have children. Other things that influence this understanding are spousal support and the great challenges of educating children today. Despite facing social pressures, the informants maintained their commitment to being child-free but remained open to re-evaluating in the future. This study highlights the complexity of childfree decision-making, which is influenced by personal, social and religious factors
The Qur'anic Perspective On Marine Resource Conservation: A Human Responsibility
Authors: Ulya Miftah , Sukiyat Sukiyat , Yasir Muhammad , Nurliana Nurliana
Published: November 2024

The conservation of marine resources is an important issue in maintaining the balance of ecosystems and the sustainability of life on earth. The Qur'an provides clear guidance on human responsibility in protecting nature, including marine resources. This article seeks to reveal the messages contained in the Qur'an related to the ocean. The Qur'an emphasises the importance of maintaining the balance of nature (mizan) and prohibits destruction (fasad) on earth. QS. Al-A'raf [7:56] and QS. Al-Baqarah [2:30] emphasise the role of humans as khalifahs responsible for environmental sustainability. These principles include the protection of marine resources through conservation measures and sustainable management. Therefore, a friendly attitude towards the environment and sustainable utilisation is a shared responsibility. This research was conducted through a literature study using qualitative, descriptive methods, relying on deductive and inductive approaches and then analysed structurally and sociologically ethnographically. These findings underscore that marine resource conservation in Islam is not only an ecological obligation but also a rewarding act of worship. Implementing these principles in everyday policies and practices can help address global environmental challenges and ensure the sustainability of marine resources for future generations. The Qur'anic perspective on marine resource conservation emphasises human responsibility for maintaining the balance of nature and preventing damage. These principles are relevant to be applied in modern conservation efforts to achieve environmental sustainability
The Value Relevance of Accounting Information in Iraq
Authors: Shamki Dhiaa , Al-Hamashi Salah Chyad Kadhim
Published: November 2024

The paper tests the value relevance of accounting information extracted from financial statements of 15 Iraqi companies listed on the Iraq Stock Exchange (ISX) for period 2010–2020. The relationships among accounting information (measured as earnings, book value, and cash flows) and company value (measured as stock prices) have been analyzed via descriptive statistics, correlation and regression. It is found that all these relationships are positive and significant in different levels. Compared with book value, earnings have the highest influence on stock price, while cash flows have the lowest influence on stock price. This study participates in the understanding of value relevance of accounting information in ISX as an emerging market and presenting peer insights to enhance the financial reporting standards in this country and in other similar countries in Middle East region.