bluuebunny/crossref_metadata_2025 huggingface dataset:
Border trade zones around China: Internalising which rules?
Authors: Ryzhova Natalia
Published: January 2025

Border trade at the turn of the XX–XXI centuries became a prominent factor in the development of China's
border regions. To use geographical advantage, the Chinese authorities established a special institution (the "open
border belt"), which allowed them to build trade channels that extend far beyond China's borders. The neighboring
countries (from North Korea to Vietnam) have had to respond to Chinese initiatives. Some of them have even created
their own "mirror" institutions (border trade zones, special economic zones). But publications assessing the achieved
outcomes are pessimistic: unlike China, its neighboring countries have rarely succeeded. The article proposes to use
the concept of internalization of rules to explain bilateral outcomes.
التكامل المعرفي وأثره في الصناعة الفقهية عند القرضاوي – سبر في التصورات والترجيحات
Authors: لو عبد الأحد مصطفى عبد الرحمن
Published: January 2025

أهداف البحث: يهدف البحث إلى اكتشاف مدى حضور التكامل المعرفي عند القرضاوي، من خلال استعراض ملامح التكامل في فكره، ودراسة أثره في بناء الفقه على مستوى التصورات والترجيحات.
منهج الدراسة: يعتمد البحث – بشكل أساسي – على المنهج الاستقرائيّ في رصد المعاني التي تشهد لحضور فكرة التكامل المعرفي في شخصية القرضاوي، وفي استقراء النماذج التطبيقية لها في تراثه الفقهي.
النتائج: توصلت الدراسةُ إلى أن التكامل المعرفي كان حاضرًا – إلى حدٍّ كبير – في فكره، سواء على المستوى الداخلي، أم على المستوى الخارجي، كما توصلتْ إلى أن للتكامل أثرًا عنده في تصور الحقائق بشواهد كثيرة، وله أيضا أثره في ترجيحاته من حيث اختياره الأقوالَ التي وافقت المعطيات العلمية في مسائل عديدة. ومع ذلك، فيلاحَظ أنه في بعض التطبيقات لم يكن منسجما مع مبادئه في التكامل.
أصالة البحث: تظهر القيمة العلمية للبحث في اكتشافه مبدأ التكامل المعرفي في فكر القرضاوي، وأثره في صناعته الفقهية، من حيث التصورات والترجيحات، مع إبراز جوانب الإبداع والقصور في نموذجه.
فقه إحياء الأمة عند العلامة الشيخ القرضاوي: قراءة في معالم التجديد ومرتكزاته
Authors: علواش مسعودة
Published: January 2025

أهداف البحث: إن أهم ما تسعى إليه هذه الدراسة هو إبراز إسهامات العلامة الشيخ يوسف القرضاوي (رحمه الله) في إحياء الأمة من خلال مشروعه الدعوي، وتقريب فكره ومنهجه للقارئ من خلال مسيرته العلمية والعملية.
منهج الدراسة: اقتضت طبيعة الموضوع تتبع المنهج الاستقرائي لبناء مفهوم فقه الإحياء بالتأسيس له في نصوص الكتاب والسنة لإثبات مقصديته، وتتبع تطبيقاته في فكر الشيخ العلامة القرضاوي باستخراج عباراته الخادمة لفقه الإحياء في عناوين كتبه ومنهجه في بنائها مع المنهج الوصفي الذي يقوم على تحليل النصوص ومضمونها، واستنباط المعاني بعرض الفكرة وأسس بنائها ومرتكزاتها.
النتائج: أبرز البحث الإسهامات التجديدية للعلامة القرضاوي؛ من خلال مشروعه الدعوي لإحياء الأمة وإثبات وجودها حقيقة بكل مقوماته، وذلك باستشعار قضاياها في العملية الاجتهادية ودعوته لفقه الإحياء والتجديد، مما يستدعي الاهتمام بثروته العلمية، التي جمع فيها بين فقه الوحي، وفقه الواقع لاستيعاب مستجدات العصر، والحرص على استمرار مشروعه في واقع الأمة المعاصر.
أصالة البحث: قدم البحث تصورات واضحة عن فقه إحياء الأمة، وهو مشروع بعث روح الأمة للنهوض بها؛ بإعادة بعث روح نصوص الشريعة وأحكامها في واقع الناس، وإزالة المسخ والتشويه الذي طال تنزيل أحكامها في واقعنا المعاصر من خلال الأهداف المعرفية المتعلقة بالجانب التأسيسي لفقه الإحياء والتأصيل له، مع ضبط درجته في السلم المقصدي، وكذا الأهداف العملية بإبراز فكر العلامة القرضاوي (رحمه الله) في فقه التجديد والترشيد، لتحرير الأمة من أغلال التقليد ومعالجة قضايا الأمة، والوعي بحقيقة مشكلاتها وتصحيح مسارها.
ترشيد أدوار المرأة في فكر الإمام يوسف القرضاوي
Authors: لويز سيرين
Published: January 2025

أهداف البحث: الاهتداء لمنهجية القرضاوي في ترشيد أدوار المرأة المسلمة، والاعتناء بالمفاهيم والأصول الكبرى التي احتكم إليها في بناء موقفه، واستثمار ما توصل إليه في تعميق أداء المسلمة لواجباتها في واقعنا المعاصر.
منهج البحث: اعتمد البحث على المنهج الاستقرائي والتحليلي، مما سهل استقراء المفاهيم المركزية في ترشيده لأدوار المرأة، وتحليل أسباب النكوص عنها في الواقع الإسلامي، واستنباط النموذج الأساسي للأدوار الذي أرسى دعائمه في الوعي الديني الصحيح، ثم نزله على منهجيته التي تعتبر منطلقًا أساسيًّا في تجديد معالجة قضايا المرأة المعاصرة.
النتائج: توصل البحث إلى مركزية فهم الأدوار في استرداد التأثير الفعال للمرأة المسلمة باعتبارها أكثر من نصف المجتمع، وأهمية إرساء المعالم الكبرى عند التخطيط الجاد لاستثمار فاعلية المرأة في تحقيق التنمية والنهوض وفق المنظور الإسلامي الوسطي الذي يعالج آفات الحياة المعاصرة من جذورها، بالإضافة إلى مركزية الأصول الفكرية في التجديد عند القرضاوي.
أصالة البحث: يجسد البحث وصية العلامة بترشيد وعي المرأة المسلمة نحو أدوارها الأساسية لتجاوز الخطاب الحقوقي النسوي، بعد أن بلغ مراميها في كتاباته المتفرقة. وموضوعه مدار أساسي في فكر القرضاوي، ويؤسس للمزيد من البحوث التي تصب في تجديد منهجيات طَرْق قضايا المرأة.
LABOUR ROOM: UNVEILING THE COMPLEXITIES OF MOTHERHOOD AND MARGINALIZATION IN WOMEN'S THEATRE
Authors: Vineetha Krishnan
Published: January 2025

K. V. Sreeja’s Labour Room (2003) offers a poignant exploration of the complexities surrounding childbirth and motherhood, addressing themes of gender, class, and societal expectations. The play critiques romanticized myths of motherhood while spotlighting the physical, emotional, and social challenges women endure. Through representative characters, it highlights diverse experiences shaped by socio-economic and cultural factors, emphasizing the material realities of women’s bodies. The play also critiques the patriarchal gaze, exploring trauma, resilience, and solidarity among women. By portraying childbirth as a deeply individual yet universally impactful experience, Labour Room challenges dominant narratives, fostering awareness and advocating for a supportive, egalitarian society.
BRUTAL KILLINGS IN THE NAME OF HONOUR: IS HONOUR WORTHY THAN LIFE
Authors: Sharma Gunjan
Published: January 2025

In the culture of respect, the respect of the family depends on the behavior and sexuality of the girl or woman during her youth and therefore ensures that the rules are enforced. Deep dives into explaining what is and is not appropriate. Anyone who breaks these rules and regulations are punished, usually in the form of murder; "So-called" honor killing is promoted and practiced by the community because for them family honor means everything and worthy than life. Abuse and violence in the name of "so-called" respect prevents girls and women from choosing their own lives. This practice prevents them from living and enjoying their daily lives and is a form of bigotry and human rights violation. More research is needed in this area. The factors behind respect violence are traditional and cultural in society, but can be explained by economic and social problems. In a hostile economic environment, respect is a guarantee of family happiness. More in-depth research is needed to understand this relationship.
IMPACT OF INFORMATION TECHNOLOGY (IT) ON SOCIETY
Authors: Gowda B S Krishne
Published: January 2025

Information technology (IT), as defined by the Information Technology Association of America (ITAA), is "the study, design, development, implementation, support or management of computer-based information systems, particularly software applications and computer hardware." IT deals with the use of electronic computers and computer software to convert, store, protect, process, transmit, and securely retrieve information. Information technology (IT) is playing a crucial role in contemporary society. It has transformed the whole world into a global village with a global economy, which is increasingly dependent on the creative management and distribution of information. Globalization of world economies has greatly enhanced the values of information to business organizations and has offered new business opportunities. This paper intended to highlight the Impact of Information Technology (IT) on Society. This paper concludes that the Government of India has been working gradually and successfully towards improving the IT policy climate in the country.
ETHNOMEDICINAL PLANTS USED BY THE WANGOO PEOPLE OF BISHNUPUR DISTRICT, MANIPUR, NORTHEAST INDIA
Authors: Irom Reena , Sarangthem Dilipkumar Singh , O. Hemchandra
Published: January 2025

The paper is an attempt to survey and understand the various ethnomedicinal plants used by the Wangoo people of Bishnupur District, Manipur as medicines in the treatment of various ailments and diseases. The current issue is that there has not been much systematic study on it, particularly among the Wangoo people of Manipur, which is one of the oldest communities in the state. In the present study more than 39 indigenous medicinal plants are used by the Wangoo people in the treatment of about 34 ailments and diseases. They use both single plant and compound plants in the treatment. The significant of the study is that certain plants are believed to have multi-chemical properties in healing and curing as it differs from other neighbouring communities. Common diseases are like diarrhoea, malaria, piles, fever, snake bite, and mumps. Leaves, stems, roots and fruits are most widely used. Some of them still depends on such indigenous medicine rather than pharmaceutical medicines Assistant Professor, Department of Anthropology, Kumbi College, Kumbi, Bishnupur, Manipur
LIFE SATISFACTION OF OLDER ADULTS IN MANIPUR
Authors: Naorem Indira Devi , MC Arunkumar
Published: January 2025

It is anticipated that a number of elderly people will steadily rise as their quality of life improves in all areas. By making such improvements, people can benefit society instead of causing unneeded problems for their families and wider community. It is now one of most important objectives. As an essential aspect in determining life quality as well as successful ageing, life satisfaction is concentrated upon different studies since older adults are considered at risk in various ways, it has an impact on life satisfaction. “Life satisfaction” refers to well-being in areas such as contentment, tranquillity, self-assurance, etc. Stated differently, “life satisfaction” results from reflective, personal, along global judgement about what a human being considers they are and have done with their life. So, a person's life satisfaction becomes a concern as it influences well-being and maintaining relationships with society, especially for elderly people
GENDER DIFFERENCE IN JOB SATISFACTION AND ORGANIZATIONAL COMMITMENT
Authors: Singh Rakhi
Published: January 2025

The Paper zeroes in upon the different treatment being meted out to the women folk and racial minorities which is what stymies the growth and potential of them in a workplace and a career. The paper further investigates that Women also lag behind in terms of a gender pay gap which is sometimes not discernible but does exist in certain sectors. Also, then there is the tendency of the companies to recruit women in softer roles of the order of the Human Resource management departments which further delimits the broad and comprehensive span of their work and their wider contributions to the organization. How gender plays a key role in the designations of women workers, labour force is a highlight of the narrative of the paper
INTERSECCIONALIDADE NAS ORGANIZAÇÕES: UM ESTUDO PELAS LENTES DA REDUÇÃO SOCIOLÓGICA
Authors: Marcelino Karina Francine , Moraes Mário César Barreto
Published: January 2025

O objetivo deste estudo é fazer uma transposição da concepção de interseccionalidade para a área da administração. Para tanto, utilizando-se do contexto das organizações e a metodologia da Redução Sociológica proposta por Alberto Guerreiro Ramos, este estudo visa apresentar uma transposição desse conceito sociológico criado nos Estados Unidos para o campo organizacional brasileiro, de maneira apropriada. Após um resgate da metodologia da redução sociológica, buscou-se compreender a concepção da interseccionalidade nas organizações a partir dessa metodologia. Como conclusão, tem-se que ocorrer um reducionismo com a apreensão do conceito de interseccionalidade no campo organizacional, pois se limitam a conceituar raça/etnia, gênero e sexualidade como práticas sociais apenas, sem relacioná-las às práticas organizacionais. Além disso, as condições estruturais do Brasil, lócus desse estudo, diferem-se do contexto estadunidense. Dessa forma, ao realizar a transposição desse conceito, deve-se considerar a posição adotada pelo país frente ao racismo e que a reprodução das desigualdades se faz presente nos níveis hierárquicos, na divisão de cargos e tarefas, no recrutamento e seleção, na definição dos salários, no monitoramento bem como nas interações informais.
A LUTA CONTRA O RACISMO: UM DEVER DE TODOS OS EDUCADORES (AS)
Authors: Gois Pamela Cristina de
Published: January 2025

Através da educação recebida desde a infantil até a universidade, o racismo epistêmico e todos os valores cativos dos colonizadores ligados a moralidade de origem judaico-cristã se mantêm vigentes sob o olhar do Estado. Nesse sentido, nossa tese para que aliberdade possa se efetivar se resume na ideia de que os educadores (as) devam ser os primeiros (as) a se emanciparem da colonialidade do poder e do saber. O conhecimento deve ser livre das amarras e de interesses burgueses em consonância com o Estado e oigrejismo. Para tanto, a pedagogia utilizada no ensino institucional deve ser regularizada pelo debate político/militante e de reparo das atrocidades cometidas contra diversas tradições étnicas.
UMA ANÁLISE DISCURSIVA DECOLONIAL SOBRE O PROCESSO DE ENSINO-APRENDIZAGEM DA LÍNGUA INGLESA NA EDUCAÇÃO PROFISSIONAL
Authors: Santos Polyana de Souza , Marques Dr. Welisson
Published: January 2025

O presente trabalho teve como objetivo analisar, a partir de uma perspectiva discursiva, os livros didáticos (LDs) de língua inglesa (LI) adotados em todas as séries do Ensino Médio Integrado de Institutos Federais. Desse modo, para que essa proposta fosse viável, buscamos desenvolver uma abordagem inter/transdisciplinar que estabelecesse uma interface entre Linguística Aplicada (LA) e Análise do Discurso (AD). Buscamos investigar, a partir de imagens que representem pessoas e/ou os espaços que elas ocupam geograficamente e socialmente, a presença de elementos que evidenciem ou não características decoloniais nesses livros didáticos, buscando observar como as identidades de raça estão socialmente representadas. A pesquisa também se pauta nas problemáticas que versam sobre o ensino emancipatório, integrado e decolonial da língua inglesa, utilizando-se de autores como Fanon (2008), Ferreira (2013), Walsh (2013), Freire (2020), dentre outros. As análises feitas neste estudo demonstraram que os LDs ainda tornam evidente que o fenômeno da exclusão dos grupos minoritários não é apenas uma lacuna educacional, mas um mecanismo de poder enraizado nas complexas relações entre tais grupos e aqueles conhecidos como historicamente e socialmente dominantes. A omissão da diversidade racial e étnica, particularmente das minorias negras e indígenas, revela um apagamento preocupante que contribui para a perpetuação de estereótipos e preconceitos.
CONSTRUÇÃO DO REFERENCIAL CURRICULAR DA EDUCAÇÃO ESCOLAR QUILOMBOLA NO MUNICÍPIO DE AURELINO LEAL-BA
Authors: Lemos Sara Alves da Luz
Published: January 2025

O presente trabalho tem como objetivo discutir sobre Educação Escolar Quilombola enquanto Modalidade da Educação Básica e sua implementação no Referencial Curricular Municipal de Aurelino Leal –BA, abordando suas contribuições e perspectivas. Essa discussão surge mediante ao processo de construção do DCRAL –Documento Curricular Referencial de Aurelino Leal no ano de 2020, em situação atípica em meio a paralização das aulas com a pandemia do COVID-19. Sabendo-se que, para tratar sobre Educação Escolar Quilombola é preciso primeiramente entender o que é quilombo, sua formação e porque é considerada como uma das formas de resistência negra, conforme aborda Munanga (2006), conceituando quilombo como membros de associação que eram considerados super-homens invulneráveis às armas inimigas, um sentimento de proteção e solidariedade. Sendo assim, quilombo não é um lugar somente de abrigo à escravidão imposta, também poderá ser considerada como uma forma de fortalecer e valorizar seus laços ancestrais, sua cultura, transformando em uma expressão de luta de classe. A trajetória de construção do DCRAL e como a Educação Escolar Quilombola adentra aos poucos na conquista do seu espaço de direito e traz reflexões e contribuições para novas esperanças e perspectivas no fortalecimento da educação escolar nas comunidades remanescentes quilombolas, não somente no município de Aurelino Leal, mas em todo e qualquer município que tenha comunidades remanescentes de quilombo. Uma dessas contribuições é a valorização da formação continuada para os educadores (quilombolas ou não quilombolas), conhecendo e vivenciando a realidade dessa comunidade.
EDUCAÇÃO DISRUPTIVA:
Authors: Nagel Jordana Caroline
Published: January 2025

O livro "Educação Disruptiva" explora como as inovações tecnológicas estão reformulando o cenário educacional ao desafiar modelos tradicionais e propor abordagens mais inclusivas, flexíveis e adaptadas ao século XXI. Dividido em capítulos temáticos, a obra apresenta conceitos centrais como disrupção educacional, metodologias ativas e o impacto transformador de ferramentas digitais, como inteligência artificial, realidade virtual e plataformas de ensino a distância.
O conceito de educação disruptiva é apresentado como uma ruptura com práticas convencionais, promovendo personalização do aprendizado, protagonismo estudantil e interdisciplinaridade. Tecnologias emergentes, como inteligência artificial e realidade aumentada, são descritas como catalisadoras dessa transformação, oferecendo trilhas de aprendizado personalizadas, experiências imersivas e maior acessibilidade. Metodologias como gamificação, aprendizagem baseada em problemas e sala de aula invertida são destacadas por sua capacidade de engajar estudantes e prepará-los para desafios reais. Embora promissora, a educação disruptiva enfrenta desafios significativos, como a desigualdade no acesso à tecnologia, a necessidade de formação docente e questões éticas relacionadas à privacidade de dados. O livro também discute o papel do professor nesse novo cenário, destacando a importância de capacitação e adaptação a um ambiente educacional digitalizado. A obra reflete sobre o futuro da educação, enfatizando a necessidade de políticas públicas que promovam a inclusão digital, práticas sustentáveis e inovação pedagógica. "Educação Disruptiva" se estabelece como um guia essencial para compreender e implementar mudanças no ensino, moldando cidadãos críticos, criativos e preparados para um mundo em constante evolução.
Satellite-Based Analysis of Air Pollution Trends in Khartoum before and After the Conflict
Authors: Hossam Aldeen Anwer , Abubakr Hassan , Ghofran Anwer
Published: January 2025

This study investigates the impact of socio-political disruptions on air quality in Khartoum, Sudan, focusing on key pollutants: Aerosol Optical Depth (AOD), Carbon Monoxide (CO), Nitrogen Dioxide (NO₂), and Sulfur Dioxide (SO₂). Using Sentinel-5P satellite data (2020–2024) processed in Google Earth Engine (GEE), spatial and temporal variations in pollutant levels were analyzed before and after a significant war event in April 2023. The methodology included data acquisition, preprocessing (e.g., cloud masking, spatial filtering), monthly averages computation, visualization, and statistical analysis using Google Earth Engine (GEE), ArcGIS Pro, and Microsoft Excel. Results showed a marked post-war increase in AOD levels, attributed to infrastructure destruction, fires, and diminished industrial oversight, alongside spatially consistent pollution patterns in some regions. CO concentrations exhibited an overall decline due to reduced industrial activities and transportation, though localized anomalies were linked to concentrated emissions. Similarly, NO₂ levels dropped significantly, reflecting reduced vehicular and industrial activities, while sporadic increases suggested localized emissions like generator use. SO₂ demonstrated mixed trends, with reduced mean levels but increased variability, indicating sporadic high-emission events linked to emergency fuel use or conflict-related disruptions. This study uniquely combines high-resolution satellite data with advanced spatial and temporal analysis techniques to reveal the nuanced and multi-pollutant impact of socio-political conflicts on air quality in Khartoum, providing novel insights into the environmental repercussions of armed conflicts. These findings highlight the profound impact of socio-political events on atmospheric pollution dynamics, underscoring the need for robust urban planning, targeted environmental monitoring, and policies to mitigate air quality deterioration and address public health concerns in conflict-prone regions. The study emphasizes the importance of satellite-based monitoring to provide critical insights into the environmental repercussions of socio-political upheavals.
Sistem Monitoring dan Kontrol Penyiraman Aeroponik Tanaman Selada berbasis IoT dengan Metode Fuzzy Sugeno
Authors: Wibowo Muhamad Arya Al Ghifari , Salamah Irma , Aryanti Aryanti
Published: January 2025

Dependence on optimal environmental conditions is a major challenge in aeroponic cultivation, as plant roots require regular watering to maintain moisture and nutrient absorption. This research aims to design an IoT-based aeroponic watering monitoring and control system using Sugeno fuzzy method, which can adaptively determine the duration of watering based on temperature, humidity, and light intensity sensors, and enable environmental monitoring via smartphone. This research is conducted using an experimental approach, implementing the Sugeno fuzzy inference method to generate a constant (linear) watering duration calculated based on a fuzzy rule base. The system development stages include hardware and software design, implementation of Sugeno fuzzy logic for the watering mechanism, integration of the device with an IoT platform, and testing the effectiveness of the system in maintaining optimal environmental parameters. The results showed that the developed monitoring and control system was able to produce watering duration output with an average difference to MATLAB simulation results of 0.048 milliseconds and an average error rate of 0.9%. The system is also effective in maintaining optimal humidity in the aeroponic environment, with an average humidity of 96.00% and an average temperature drop of 0.28°C every time the watering process takes place.
Analisis Pemain Terbaik Sepak Bola dengan menggunakan Algoritma K-Means
Authors: Wardhana Faviola Proba , Winarno Sri
Published: January 2025

The selection of players in soccer is crucial for developing strategies in matches. It serves as a decision support system that can be used to choose the starting line-up. The data for this research was obtained from the official and reliable website of Liga 1 Indonesia for the 2023 season. This study aims to analyze the top soccer players using the K-means algorithm based on their statistical performance throughout the 2023 Liga 1 Indonesia season. Data collection for each player included their percentage of appearances in the starting line-up. We used the K-means algorithm, which helps identify patterns and cluster players based on statistical metrics from the matches, such as the number of goals, assists, and other physical statistics across various player positions. The data comprised 197 players competing in Liga 1 2023. Our findings reveal that 62 players belong to Cluster 1 out of the total 197 analyzed. These players exhibited the best statistics and could be potential options for Liga 1 coaching staff to recruit or sign in order to strengthen their teams for the next season. Our research indicates that the players in this cluster demonstrated outstanding performance, helping coaches identify categories such as "efficient strikers" or "strong defenders." Therefore, this study can assist coaches or managers in selecting the most suitable players to meet the team’s needs for the upcoming season.
Sistem Pendukung Keputusan dalam menentukan Guru Teladan menggunakan Metode Composite Performance
Authors: Hidayanti Sri , Mulyani Neni , Ramadhani Andrew
Published: January 2025

The development of technology has had a significant impact on various aspects of human life, including education. Yayasan Mas Bustaanul Uluum, a high school, faces challenges in selecting exemplary teachers objectively and accurately. The process of selecting exemplary teachers has so far been subjective, with assessments based on attendance and years of service. This research aims to develop a decision support system (DSS) by applying the web-based Composite Performance Index (CPI) method. The system is built using the waterfall model, which consists of analysis, design, implementation, and testing. Data collection was conducted through observation and interviews. The aspects used to measure exemplary teachers include attendance, teaching experience, highest education level, and achievements. The data processed using the CPI method is used to determine exemplary teachers. Furthermore, the system built was tested using black box testing on each system component. Our findings resulted in a DSS integrated with the CPI method for determining exemplary teachers. The calculations within the system are also consistent with the manual calculations using the CPI method. Additionally, the system operates smoothly without errors. Therefore, this system can assist Yayasan Mas Bustaanul Uluum in selecting exemplary teachers in an objective manner.
Deteksi Dini Cacar Monyet menggunakan Convolutional Neural Network (CNN) dalam Aplikasi Mobile
Authors: Triginandri Rifqi , Subhiyakto Egia Rosi
Published: January 2025

Monkeypox is a skin infection that has become a serious concern in Indonesia since the increase in cases in 2022. Diagnosis of monkeypox requires special expertise, laboratory tests, and clinical observations. Diagnosis generally uses PCR tests which are often not available in remote areas. This study aims to develop a deep learning-based mobile application for early detection of monkeypox through image classification of skin lesions. The CRISP-DM methodology is applied in developing this application, starting with collecting datasets from the Kaggle site consisting of 8,910 images and divided into 80% training groups, 10% validation, and 10% testing with augmentation techniques to improve model accuracy. The developed CNN model was implemented using Create ML on the iOS platform. The model evaluation uses several metrics such as accuracy, precision, recall, and F1 score, with the threshold being the highest probability of the model predicting model evaluation results show an accuracy of 81%, precision of 80.2%, recall of 76%, and F1 score of 0.78 for the test data. The resulting application allows rapid detection of monkeypox and is accessible to the wider community, thereby helping to reduce delays in diagnosis, especially in hard-to-reach areas. This study shows significant potential in supporting the health system in Indonesia through the application of artificial intelligence technology for infectious diseases.
Perbandingan Kinerja Model Prediksi Cuaca: Random Forest, Support Vector Regression, dan XGBoost
Authors: Syahreza Ahmad , Ningrum Novita Kurnia , Syahrazy Muhammad Anjas
Published: January 2025

Accurate weather predictions are essential to mitigate the impacts of weather changes and support better planning in sectors such as agriculture, transportation, and tourism. Indonesia often faces unpredictable weather, such as sudden rains and long droughts, which can cause huge losses. This study aims to compare the performance of three machine learning algorithms Random Forest, Support Vector Regression (SVR), and XGBoost in predicting weather using meteorological data (minimum temperature, maximum temperature, rainfall, wind direction, average humidity) as well as IoT data totaling 1650 data per variable. The variables used in this study include minimum temperature, maximum temperature, rainfall, wind direction, and average humidity. Data analysis techniques were performed using three main evaluation metrics, namely Mean Absolute Error (MAE), Mean Squared Error (MSE), and R-squared (R²). The results showed that XGBoost gave the best performance with MAE 0.3744, MSE 0.2278, and R² 0.8183. Random Forest and SVR also produced good predictions, with MAE values of 0.3869 and 0.3820, MSE 0.2422 and 0.2524, and R² 0.8068 and 0.7987, respectively. The results show XGBoost is the best model for weather prediction, which can help improve accuracy in agricultural planning and weather-related disaster risk mitigation.
Penerapan Metode Convolutional Neural Network pada Sistem Klasifikasi Penyakit Tanaman Apel berdasarkan Citra Daun
Authors: Pamungkas Nicholas Bagus , Suhendar Agus
Published: January 2025

Apple leaf diseases can cause significant crop failure and impact the economy of farmers and the agricultural industry. With the increasing demand for quality apples, it is important to develop effective and efficient solutions to detect apple plant diseases early. This research aims to develop an automated system that can identify diseases in apple plants based on leaf images using the Convolutional Neural Network (CNN) model. This model was developed with the ResNet50V2 architecture to classify four leaf conditions: three types of common diseases and one healthy condition. This research applies the CNN model for leaf image processing and the Waterfall system development method. The stages start from needs analysis by collecting data to be processed by the cnn model, interface design of the classification system, program code implementation, and functionality testing using black-box testing. CNN model development includes the stages of collecting datasets sourced from Malang apple plantations as many as 150 images and Kaggle public datasets totalling 3,071 images, then image preprocessing, model development and training. Our research results produced an apple plant disease classification system by implementing the CNN model. Based on the results of testing the system and the model used, it shows that the CNN model applied in the system achieves a classification accuracy of 99.01%, and the functionality of the system built runs well.
Sistem Klasifikasi Kualitas Bunga Cengkeh Kering berbasis Website menggunakan Logika Fuzzy Metode Tsukamoto
Authors: Fadhila Arifa Farras , Avianto Donny
Published: January 2025

Indonesian cloves have strong competitiveness in the main market due to their economic benefits, such as being raw materials for kretek cigarettes, spices, and the perfume industry. However, high global competition demands improvements in product quality and consistency. The manual and subjective sorting of cloves often leads to inaccuracies and inconsistencies in quality, which can be detrimental to farmers, especially in smallholdings. The objective of our research is to develop a web-based system for classifying the quality of dried clove flowers using the Tsukamoto fuzzy logic method. The stages of system development using the waterfall method include system requirements analysis, architecture and interface design, website implementation with the Tsukamoto fuzzy method, and testing. The Tsukamoto fuzzy logic implementation method was chosen due to its ability to process uncertain data and produce consistent output. Our findings successfully produced a web-based system called 'Clove Tester', with an average sensitivity of 45.99% from sensitivity testing based on modifications to the membership function of condition and quality variables. These results indicate that the system has a good adaptability to variations in input data, making it suitable for application to data with a high level of uncertainty or ambiguity in this research.
Analisis Performa Model Random Forest dan CatBoost dengan Teknik SMOTE dalam Prediksi Risiko Diabetes
Authors: Irfannandhy Rony , Handoko Lekso Budi , Ariyanto Noval
Published: January 2025

Diabetes mellitus (DM) is increasing in prevalence globally and is becoming a serious health problem. Early detection reduces long-term complications. The purpose of our research is to evaluate and compare the effectiveness of Random Forest (RF) and CatBoost models with SMOTE technique in predicting DM risk based on test data processed to produce comparative analysis performance of both models in the form of precission, recall, F1-Score and accuracy. Our research type is quantitative using methods that include EDA, transformation, dividing test and training data, implementation of RF and CatBoost methods with SMOTE and evaluation of model performance. The dataset from the platform (Kaggle) includes 768 individual health data consisting of eight independent variables of pregnancy, glucose, blood pressure, skin thickness, insulin, Body Mass Index (BMI), DM history, age as well as one target (outcome) variable of DM status. The SMOTE analysis technique was applied to balance the class distribution and improve the representation of the minority class, making the prediction model more accurate and stable. The findings of the SMOTE-RF model were 82% accuracy and SMOTE CatBoost 81% accuracy. Based on the feature importances analysis, the main variables affecting DM risk prediction of both models are glucose, BMI and age. Glucose variable is the main DM risk indicator used for prediction to be more efficient. The practical implication of improved machine learning early detection has the potential to support doctors' decision making more accurately to prevent more serious complications in diabetes mellitus.
Teknologi Blockchain berbasis Non Fungible Token sebagai Penghargaan Partisipasi Donor Darah
Authors: Moleo Alif Safa , Hasanuddin Tasrif , Darwis Herdianti , Harlinda Harlinda
Published: January 2025

Non-fungible tokens (NFTs) are a technological innovation that has been widely used to provide a form of digital reward. However, the application of NFTs in the social domain, especially in blood donation programs, has not been widely explored. This research aims to develop an NFT-based reward system using blockchain technology as an appreciation for blood donors. The system is designed and developed using the Ethereum test network due to its stability in decentralized applications. This research uses the research and development (R&D) method with the 4D model approach, which consists of the Define, Design, Develop, and Disseminate stages. In the Define stage, a needs analysis was conducted to determine the system specifications. The Design stage involves the design of a web-based system3 to support NFT management. In the Develop stage, the system was developed using the Ethereum testing network. The Disseminate stage includes system testing using the black box method to ensure that all key features, such as NFT claims and data transparency, function properly. The result of the research is an NFT-based blockchain application that allows blood donors to easily claim their NFTs as a form of digital recognition. The evaluation showed an acceptability score of 61.34%, indicating that this application is acceptable to the community and has the potential to increase blood donor motivation. The implementation of this system is expected to have a sustainable positive impact on increasing blood donor participation in the future.
Analisis Sentimen Publik di Twitter Pasca Debat Kelima Pilpres 2024 dengan Naive Bayes
Authors: Zharifa Anjana Haya Atha , Ujianto Erik Iman Heri
Published: January 2025

The presidential election in Indonesia is a frequently discussed topic on social media, especially Twitter. This platform provides a space for people to express their views on presidential candidates and election issues, making it suitable as a data source for this study. This study aims to analyze public sentiment towards presidential election news on Twitter using the Naïve Bayes Classifier method. Data was taken from Twitter for the period 5–13 February 2024 with a total of 2,561 comments. The research process includes data collection, preprocessing, data labeling, and model training and testing. Naïve Bayes was chosen because it is efficient in text classification and has several variants for model experiments. Sentiment is classified into three main categories, namely positive, negative, and neutral. The results showed that negative comments dominated (41%), followed by positive (37.3%) and neutral (21.7%). The Multi Naïve Bayes Classifier model provided the highest accuracy (81%), followed by Bernoulli Naïve Bayes (80%) and Gaussian Naïve Bayes (76%). This difference in accuracy is influenced by the model's sensitivity to data characteristics, such as the number of features and sentiment distribution. This research has the potential to help campaign teams understand the issues that trigger negative responses and support policy makers in designing more effective political communication strategies.
Exploring the Interplay of Land Use Transformation and Its Environmental Impacts: A Case Study of Sonipat District, Haryana
Authors: Kumar Niraj , Rana Tejbir Singh , Anand Subhash
Published: January 2025

Land use transformations in Sonipat District, Haryana, driven by urbanization, industrialization, and land acquisitions, have posed significant ecological and socio-economic challenges, particularly concerning food security. This study investigates the interplay between these land use changes and their environmental implications at macro (district) and micro (village) levels, focusing on agricultural productivity and resource sustainability. The study employs a mixed-method approach, integrating secondary data from official datasets and primary data gathered through structured household surveys, focus group discussions, and visual analysis techniques. Data from 20 villages, selected based on predominant land use characteristics, were  analysed using statistical and geospatial tools, including ArcGIS and STATA, to quantify food grain losses and evaluate environmental degradation. Findings of this study reveal a 19% reduction in agricultural land over two decades (2000–2024), correlating with increased residential and industrial areas. Groundwater resources face severe overexploitation, with pollution from industrial clusters further degrading water and soil quality. The study estimates a total food grain loss of 1.5 million kilograms across surveyed villages due to land acquisitions. A strong positive correlation (R² = 0.98) between land acquisition and food loss underscores the direct impact of urbanization on agricultural output. The research underscores the urgency of sustainable land management practices, including preserving agricultural lands, optimizing groundwater usage, and enhancing community involvement in planning. By addressing these challenges, the study advocates for balanced urban expansion and food security to ensure ecological and economic resilience in the region.
Coupling and Spatial Disparities of Regional Economy and Ecosystem in High-Quality Town Development
Authors: Ren Xinyi , Tan Xiaowen , Luo Dan , Lu Rongxin , Chu Chien-Chi
Published: January 2025

This study investigates the coordination between regional economic growth and ecological sustainability within the context of high-quality town economy development. To address the challenges of balancing economic expansion with environmental protection, a comprehensive evaluation index system is constructed, encompassing two key dimensions: regional economy and ecological environment. Using panel data from 2013 to 2022, the coupling coordination degree model is employed to quantify the interactions and synergy between these dimensions. Additionally, spatial econometric methods are applied to calculate both global and local Moran’s Index, revealing spatial clustering patterns, regional disparities, and heterogeneity. The relative development model further identifies critical factors influencing regional coordination, with a focus on the lagging development of basic infrastructure and public services. The findings demonstrate a positive temporal trend toward improved regional coordination and reduced development gaps, with a spatial pattern characterized by higher coupling degrees in eastern and central regions compared to western areas. Based on these results, this study proposes actionable strategies to enhance coordinated development, emphasizing ecological conservation, the establishment of green production and consumption systems, ecological restoration, and strengthened municipal collaboration.This revised abstract emphasizes the study’s purpose, methods, and key findings more clearly while maintaining a professional and concise tone. Finally, based on the above analysis results, the corresponding coordinated development suggestions of regional economy and ecological environment are given from the aspects of ecological environment protection measures, green production and consumption system construction, ecological environment restoration and municipal coordination.
Modelling and optimization of a hybrid renewable energy systems for rural electrification in Nigeria: A review
Authors: Thankgod Izuchukwu Ozue  , Victor Eze Idigo  , Vincent Chukwudi Chijindu  , Ifeyinwa Chidum Dimson  , Chidimma Augusta Ikechukwu
Published: January 2025

The global shift towards eco-friendly energy solutions, propelled by the drive to mitigate climatic changes, has emphasized the need for innovative and sustainable approaches to rural/community electrification, particularly in regions like sub-Saharan Africa. Nigeria with over 200 million people, faces significant energy challenges, especially in rural areas where access to electricity remains a daunting challenge. Earlier in the 2020s, only 43% of this rural population had moderate electricity access, unambiguously contrasting with 90% in urban areas. This discrepancy infringes on the economic development, educational opportunities, and quality of life of the area. Nigeria’s energy industry is principally reliant on conventional fuels such as natural gas, diesel, and coal which are finite and contribute to environmental degradation. In response to the inefficiencies and high costs of traditional grid extension, hybrid renewable energy systems (HRES) have appeared as a workable alternative. HRES interconnects various renewable energy sources such as solar, wind, hydro, and biomass potentially enhancing power supply stability and sustainability in rural communities. This review explores the application and optimization of HRES in Nigeria, examining the potential for integrating various renewable sources and evaluating successful case studies. An in-depth review of academic and a few physical projects spanning 10 years (2015-present) were studied using data from published articles and reports. It was observed that the Islanded HRES configuration received more attention than the grid-tied maybe as a result of the location of such communities. The review also identifies upcoming research directions to further improve the deployment and efficacy of HRES in improving community electrification in Nigeria.
The impact of business analytics on global financial performance and economic contribution of small and mid-sized enterprises
Authors: Misturah Abimbola Odesanya  , Grace Ese Odigie
Published: January 2025

The application of business analytics has become a critical success factor for improving the performance and economic impact of SMEs in competitive markets. With advancements in digital transformation, SMEs can now leverage analytical tools to enhance decision-making, understand complex markets, and compete effectively with larger organizations. This study employed an exploratory and quantitative research approach, collecting primary data from SME owners and managers and secondary data on financial performance, market dynamics, and economic impact. Statistical and thematic analyses revealed a strong positive relationship between business analytics adoption and improved financial performance, operational efficiency, and economic contribution. Key gains were observed in inventory management, customer relationship management, and strategic decision-making, with businesses adopting analytics achieving higher revenue growth and resilience during economic volatility. The findings underscore the importance of organizational readiness, data quality, and strategic alignment in ensuring successful analytics implementation. This research highlights the managerial and policy implications of supporting SMEs in building analytics capacity to drive economic growth. Further studies are recommended to explore specific implementation models and address barriers to analytics adoption, emphasizing the pivotal role of business analytics in enhancing the competitiveness and sustainability of SMEs.
Management of Ludwig’s angina: A case report
Authors: Ita Musta’inah  , Indra Mulyawan  , Andra Rizqiawan
Published: January 2025

Background: Ludwig's angina is a progressive cellulitis of the soft tissues of the neck and floor of the mouth that spreads quickly and frequently results in death. It is an infection which affects the sublingual, submental, and left and right submandibular spaces. Because it might obstruct airways, the condition is an emergency that needs to be treated right away

Purpose: The purpose of writing this article is to describe the treatment of Ludwig’s angina.

Case: A 31-year-old male patient came with a chief complaint of swelling on the right cheek in the last 4 days.

The patient had a history of hepatitis B. Clinical examination showed facial asymmetry, deep caries of 36 and 47, root remains of 37.

Case management: Patient was treated by multiple extraction, incision and drainage of abscess, and exploration of mediastinum under general anesthesia.

Conclusion: This case report shows that prompt treatment of Ludwig's angina provides great outcome. Patients with comorbidities may require intensive care which decreasing the risk of fatality.
From royal courts to advisory halls: The transformative role of chiefs in post-Colonial Zambia
Authors: Nyambe Charles  , Chisebe Sylvester  , Domboka Robert Pedzisai
Published: January 2025

This study has explored the importance of chiefs as institutionalized in Zambia’s independence constitution under the House of Chiefs and its contributions towards the development of this country. The study has analyzed the roles of chiefs in the past. The status and relevance of indigenous rulers have been enduring. They developed and expanded their kingdoms and chiefdoms before colonial rule. The chiefs or kings reigned in council and consultations with different organs in their societies. They presided over religious, economic, social, and political systems. They organized access to land and other resources; and communicated with the ancestors for guidance on challenges such as wars and natural disasters. The chiefs or kings were not ordinary people and were thought to have exceptional powers. They had a tag of supernatural human beings. In return, the subject people worked for them, paid tribute, and fought wars in appreciation. They looked at the chiefs for guidance, survival, and security. The chiefs were highly adored, and respected and were considered sacred. They were a source of identity and prestige.

This hegemony lasted up to the 1890s when colonial rule was instituted. The chiefs’ fortunes waned when Zambia was colonized by the British South African Company (BSAC) from 1891 to 1924. On 1st April 1924, the BSAC handed over Northern Rhodesia to the British government and the territory became a British protectorate. The administration introduced indirect rule in 1927 which was effected in 1929. By this policy, the chiefs became mere instruments of abuse thereby implementing policies of the colonial state. The chiefs collected revenue, maintaining law and order as well as recruiting labourers for the white settlers. This lasted up to 1964 when the country achieved independence.

After independence, the role of chiefs changed with the establishment of the House of Chiefs. The first postcolonial government of the United National Independence Party (UNIP) which Kenneth David Kaunda led, from 1964 to 1991, realized that the chiefs were important partners in development and political management. As a result, the UNIP administration set up the House of Chiefs in 1965. The House was an advisory institution on diverse matters. The chiefs were able to speak through the House of Chiefs thereby participating in national politics and development. This study has concluded that chiefs and the House of Chiefs are indispensable to the development of this country.