bluuebunny/crossref_metadata_2025 huggingface dataset:
Farklı standartlaştırılmış indis yöntemleri ile Bartın ilinin meteorolojik kuraklıklarının analizi
Authors: Ablak Emre , Tuncer Uysal Ecem , Kumanlioglu Ahmet
Published: January 2025

Yağışların uzun dönem ortalamalarının altında kalmasıyla meydana gelen meteorolojik kuraklıkların belirlenmesi, su kaynaklarının sürdürülebilir yönetiminde önemli bir rol oynar. Meteorolojik kuraklık, süresi, şiddeti ve yoğunluğu gibi özellikleriyle hidrolojik ve tarımsal kuraklıkların oluşumunu ve niteliklerini doğrudan etkiler. Bu süreçlerin açıklanmasında kullanılan indis yöntemleri, yağış miktarı, sıcaklık ve potansiyel evapotranspirasyon gibi faktörlere dayalı olarak meteorolojik kuraklık olaylarını tanımlar. Batı Karadeniz Havzası’nda yer alan Bartın ili için 1970-2020 yılları arasında 1, 3, 6 ve 12 aylık dönemlerde meteorolojik kuraklıklar incelenmiştir. Meteorolojik kuraklıkların tespitinde Standartlaştırılmış Yağış İndisi (SPI), Standartlaştırılmış Yağış ve Evapotranspirasyon İndisi (SPEI) ve Standartlaştırılmış Yağış ve Sıcaklık İndisi (SPTI) yöntemleri kullanılmıştır. Üç farklı standardize indis yöntemiyle yapılan analizlerde, farklı zaman dilimlerinde tüm kuraklık sınıflarının gözlemlendiği tespit edilmiştir. Çalışmada, uzun dönemli (12 aylık) kuraklıkların karakteristik özellikleri Run (gidişler) teorisi ile değerlendirilmiş ve en şiddetli kuraklık döneminin 1981-1982 yılları arasında gerçekleştiği belirlenmiştir.
Trajetórias docentes
Authors: Pranto Aliny Dayany Pereira de Medeiros , Andrade Everardo Paiva de
Published: January 2025

O objetivo deste trabalho é delinear alguns caminhos trilhados entre a construção de um acervo de narrativas públicas de professores e sua constituição na Rede Trajetórias Docentes, refletindo sobre os usos potenciais das autobiografias de professores, em diferentes formatos e linguagens, como estratégia de formação profissional e como fonte para a história da educação, aberta à pesquisa histórica e ao debate acerca da profissão e do trabalho docente. O texto focaliza também a produção de narrativas no contexto do curso Trajetórias Docentes, oferecido pela Rede no ano de 2023, voltado a professores em diferentes momentos de vida e carreira. Tais discussões estabelecem diálogos com autores e concepções cruciais para a pesquisa na fronteira entre História e Educação, especialmente António Nóvoa e Ivor F. Goodson, tematizando abordagens em histórias de vida, teoria e história do currículo e aprendizagem e currículo narrativo. Também os círculos de cultura, presentes na obra de Paulo Freire, bem como suas ressonâncias mais recentes no trabalho de bell hooks, sobretudo em torno da noção de comunidades de aprendizagem, fazem parte do escopo do texto. Por fim, a partir das contribuições de Ricardo Santhiago e Juniele Rabêlo de Almeida, aborda algumas conexões entre história pública, ensino de história e educação. A síntese deste percurso traz à tona a fecundidade do diálogo circular entre memórias de professoras e professores e seus usos na formação docente, inicial e continuada, como fonte de pesquisa histórica, na perspectiva de uma aprendizagem narrativa da profissão.
Implementasi Lowk-Rank Adaptation of Large Langauage Model (LoRA) Untuk Effisiensi Large Language Model
Authors: Mahendra Anton , Styawati Styawati
Published: January 2025

Model transformator seperti LlaMA 2 sangat kuat untuk memproses berbagai tugas bahasa alami, namun memiliki kekuatan pemrosesan yang signifikan dan keterbatasan memori yang membuatnya sulit untuk diimplementasikan. Tantangan terbesarnya terletak pada konsumsi sumber daya penyimpanan yang besar dan kebutuhan daya komputasi dalam jumlah besar. Untuk mengatasi permasalahan tersebut, dikembangkan solusi berupa implementasi LoRA (Low Rank Adapter). LoRA, khususnya di LlaMA 2, menggunakan pendekatan adaptif dalam mengompresi model Transformer menggunakan adaptor berdaya rendah. Penerapan LoRA pada model ini mengurangi jumlah operasi floating-point, sehingga mempercepat proses pelatihan dan inferensi.  Secara signifikan mengurangi  konsumsi daya dan penggunaan memori. Tujuan utama penerapan LoRA di LlaMA 2 adalah untuk mengoptimalkan efisiensi model, dengan fokus pada pengurangan operasi floating-point dan meningkatkan penggunaan memori GPU.
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN BONUS HARI RAYA KARYAWAN MENGGUNKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)
Authors: Estri Pratiwi Kyky Fidya , Susanto Erliyan Redy
Published: January 2025

Penentuan bonus hari raya (THR) untuk karyawan seringkali menjadi masalah yang sulit bagi perusahaan. Permasalahan ini dapat diselesaikan dengan solusi yang tepat, salah satu cara adalah dengan melakukan penilaian kinerja terhadap setiap karyawannya untuk mengevaluasi, memotivasi, dan memverifikasi, guna meningkatkan kinerja mereka. PT.Hasil Sinar Baru Sentosa masih menggunakan penilaian yang sangat subjektif untuk menentukan bonus hari raya karyawan. Permasalahan ini menjadi kendala karena kurangnya ob-jektivitas dan transparansi dalam proses penilaian. Penggunaan Sistem Pendukung Keputusan (SPK) pada konteks manajemen sumber daya manusia, menjadi semakin penting terutama saat menilai karyawan dalam memberikan bonus. Oleh karena itu penelitian ini melakukan penilaian untuk menentukan bonus hari raya karyawan dengan menggunakan metode Simple Additive Weighting (SAW) yang terdiri dari 7 kriteria penilaian yaitu  kehadiran, tanggung jawab, kemampuan teknis, kerjasama, ketelitian, sikap, dan masa kerja. Penggunaan pen-dekatan ini dapat memberikan kontribusi yang signifikan dalam proses pengambilan keputusan pada perusahaan, dengan melakukan pengumpulan data  dilakukan pengujian pada 10 karyawan dibagian kendaraan yang menjadi alternatif. Hasil akhir dari penelitian ini didapatkan dari perhitungan yang dilakukan dengan menggunakan metode SAW mulai dari menentukan kriteria, menentukan bobot, melakukan matriks normalisasi, dan tahap akhir yaitu perankingan. Kebaharuan dalam penelitian ini memberikan usulan yaitu model baru dalam menentukan bonus hari raya karyawan di PT.Hasil Sinar Baru Sentosa yang dimana selama ini dilakukan secara subjektif menjadi objektif
PERANCANGAN SISTEM APLIKASI GUDANG TOKO ANGKASA JAYA MOTOR BERBASIS WEB MENGGUNAKAN NODE.JS
Authors: Balino Ical Ferin , Beeh Yos Richard
Published: January 2025

In carrying out its business activities, Angkasa Jaya Motor stores often experience problems in managing and storing goods in the warehouse. The problem occurs because the store still employs manual work methods in its business processes. One of them is that the process of recording goods still utilizes a notebook. The data recorded in the notebook is then transferred to the spreadsheet tool. In this process, data synchronization is also a constraint. There are data discrepancies between the stock data in the inventory, notebooks, and spreadsheet tools, thereby affecting the accuracy of the goods data. The research aims to develop a Web-based warehouse application using Node.js to help address these issues. The method used in this research is the Research and Development (RD) method. This research yields a Web-based warehouse application system that enables employees to conduct inventory management more practically and optimize warehouse operations and data integration helps store owners efficiently access real-time information goods on the inventory, so that enable business decisions to be made based on accurate data.
KLASIFIKASI PENYAKIT DAUN PADI MENGGUNAKAN SUPPORT VECTOR MACHINE BERDASARKAN FITUR MENDALAM (DEEP FEATURE)
Authors: Margarita Devina , Maulana Hendra , Mandyartha Eka Prakarsa
Published: January 2025

Tanaman padi memiliki peran yang sangat penting dalam menyediakan pangan bagi populasi global. Namun, serangan hama dan bakteri dapat menghambat produksi padi dengan mengganggu proses fotosintesis dan fase generatifnya, yang berakhir pada penurunan kualitas dan kuantitas panen. Untuk mengatasi tantangan ini, penelitian ini mengusulkan pemanfaatan teknologi pemrosesan citra dan pembelajaran mesin. Metode yang digunakan mencakup Convolutional Neural Network (CNN) dengan arsitektur VGG-19 untuk mengekstraksi fitur citra, serta Support Vector Machine (SVM) dengan pendekatan pelatihan menggunakan Sequential Minimal Optimization (SMO) untuk klasifikasi. Penelitian ini terdiri dari lima tahap utama: preprocessing , pembagian data, ekstraksi fitur CNN, pelatihan SVM, dan evaluasi hasil. Berbagai skenario dengan kernel SVM yang berbeda dievaluasi, di mana hasilnya menunjukkan bahwa kernel RBF dan linear mampu mencapai akurasi tertinggi, yaitu 93,94%. Penelitian ini menunjukkan bahwa penggunaan CNN dan SVM dalam mengatasi hambatan klasifikasi citra penyakit daun pada tanaman padi, dapat memberikan hasil yang signifikan.
ANALYZING COMPARISON PERFORMANCE MODEL OF MACHINE LEARNING THROUGH DETECTION SQL INJECTION ATTACK
Authors: Pratama Rakha Satria , Irsan Muhamad , Utomo Rio Guntur
Published: January 2025

This research aims to compare Machine Learning models that effectively detect SQL Injection attacks in security systems. The dataset was col lected from the Kaggle resource published by Syed Saqlain Hussain Shah, the dataset with the highest upvotes in the SQL Injection category. The models developed include Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Logistic Regression (LR). The research process includes separating the data into 70% training and 30% test data, model training, testing model effectiveness, and implementing preventive measures against SQL Injection attacks. The research results show that the SVM model has an accuracy rate of 99.82%, precision of 99.88%, and recall (Sensitivity) of 99.34%. KNN obtained an accuracy rate of 79.28%, a precision of 98.38%, and a recall (Sensitivity) of 73.31%. LR obtained an accuracy rate of 98.99%, precision of 99.94%, and recall (Sensitivity) of 98.70%. Using a Machine Learning approach, this research improves system security against SQL Injection attacks.
RANCANG BANGUN SISTEM INFORMASI MANAJEMEN KEUANGAN PADA PT. DWI EKA BAKTI BERBASIS WEBSITE
Authors: Sawitri Nyoman Sintya , Desmayani Ni Made Mila Rosa , Thalib Emmy Febriani , Rahayu G. Ni Luh Wiwik Sri , Sarasvananda Ida Bagus Gede
Published: January 2025

Pada era teknologi yang pesat, PT. Dwi Eka Bakti, yang bergerak di bidang perdagangan dan jasa, mengalami kendala pencatatan keuangan manual menggunakan Microsoft Excel, seperti kesalahan pencatatan dan keterlambatan pelaporan. Penelitian ini bertujuan merancang dan membangun Sistem Informasi Manajemen Keuangan berbasis web untuk mengatasi masalah tersebut, menggunakan metode waterfall yang meliputi analisis kebutuhan, desain sistem, implementasi, pengujian, serta pemeliharaan. Dilakukan di PT. Dwi Eka Bakti, Denpasar, Bali, dengan subjek staf keuangan dan manajemen, data dikumpulkan melalui wawancara, observasi, dan dokumentasi. Sistem dirancang dengan UML dan dibangun menggunakan PHP, Laravel, dan MySQL. Hasilnya, sistem memudahkan pembuatan laporan keuangan dan mengatasi kendala sebelumnya. Fitur-fitur meliputi login, dashboard, data user, perusahaan, kategori akun, transaksi, dan laporan keuangan. Pengujian Black Box menunjukkan sistem berfungsi baik dan sesuai harapan. Kesimpulannya, sistem meningkatkan efisiensi dan akurasi pengelolaan keuangan PT. Dwi Eka Bakti, layak digunakan, dan memberikan informasi keuangan real-time. Disarankan untuk menambah fitur dan metode laporan lebih canggih guna meningkatkan kualitas laporan keuangan.
RANCANGAN BANGUN SISTEM BULLWHIP EFFECT PADA PT. MITRA ASAHAN SELALU JAYA KECAMATAN SIMPANG EMPAT MENGGUNAKAN SUPPLY CHAIN MANAGEMENT (SCM)
Authors: Nasution Irmawati , Anggreani Dewi , Santoso Santoso
Published: January 2025

In distributing 3kg LPG to the public, PT Mitra Asahan Always Jaya has 51 permanent base partners with various contracts and different quota amounts. Currently subsidized 3kg LPG agents are not permitted to sell subsidized 3kg LPG directly to consumers. With a working area with a very large number of requests from each agent, this is due to the large number of base partners having food trading businesses, not to mention having to meet the demand for household gas, micro businesses and retailers. so that the distribution chain at PT Mitra Asahan Always Jaya, Simpang Empat District, has an erratic demand, the gas distribution system to bases is uneven and not fulfilled due to the gas order management data not being well structured, bases are unable to order gas faster than usual. because the gas quota stock at PT Mitra Asahan Always Jaya, Simpang Empat District, is insufficient, this is due to the lack of management analysis in the gas supply at the base. Many bases have made gas orders, but officers in the field do not communicate to management about the gas requirements actually needed by the base, so that distributors or bases sometimes have to bear losses due to running out of stock
INCLUSIVE EDUCATION IN THE CONTEXT OF NATIONAL EDUCATION POLICY 2020: CHALLENGES AND STRATEGIES
Authors: Suokhrie Kevizakielie , Kiewhuo Kelhoulenuo
Published: January 2025

Nothing can be more disastrous especially to disabled or for that any abled person, to be rejected or neglected by the families or peers or educational institutions etc. because he or she is different in some attributes whether in terms of gender, socio-economic background, language , caste , religion etc. The National Education Policy (NEP) 2020 strives to address the growing inequality aggravating country’s educational system. Inclusive education is a fundamental principle ingrained within NEP 2020, reflecting the commitment to provide quality education to every child, regardless of their background, abilities, or needs. However, towards achieving this goal there are certain issues, obstacles and challenges which need to be address through collaborative efforts of all. This paper attempt to highlight some of the key components of inclusive education as outlined in the NEP 2020, the potential challenges and strategies to implement NEP effectively for inclusiveness.
HIGHER EDUCATION IN NAGALAND: CURRENT STATUS, ROLE, AND CONSTRAINTS
Authors: Kikon Mhabeni
Published: January 2025

Higher Education in India is the second largest in the world after China. India has the highest youth population in the world, with 66% of its population under the age of 35. Since a vibrant education system is a prerequisite for nation-building and development, using available data and statistical tools this paper focuses on the role of Higher Education. The paper also attempts to understand key economic development indicators like GER and GPI and how they promote socio-economic status and economic equality in Nagaland.
INFLUENCE OF RISK AND DEMOGRAPHICS ON ONLINE TRADING IN HARYANA STATE: REVIEW OF LITERATURE
Authors: Vikram  , Kumar Rajesh
Published: January 2025

This paper highlights the influence of risk and demographics on online trading and review of literature. In this study, importance of review of literature has been explored. The authors portray that how review of literature gives direction to any study.
UNLOCKING THE POTENTIAL OF GEOAI: A PATH TO ADDRESSING GLOBAL CHALLENGES ACROSS MULTIPLE DISCIPLINES
Authors: Borase Sudhakar J. , Baviskar Sandesh R. , Nigale Chintaman B. , Shendge Laxman S.
Published: January 2025

he idea of Stan Openshaw and Christine Openshaw “ Let the data speak for themselves” is vision of progress as the human predictions and analytical work is to be done by data collected itself “ the data should speak by itself” with factor of artificial intelligence (A.I). The research aims to create an account of evolution and development in the field of geographic prediction and analysis. The research revolves around the development of artificial intelligence in the geography and its integration process . The field of geography and its interdisciplinary have a dynamic strategy and endured scope of development and how it will affect the current world , settlement , human occupation and specially in the field of economics which directly show its dynamic change on human living and environment balance.
 
The applicable changes in Health sector, Mapping and Cartography, Research work, Environment epidemiology, Urban planning , Resource management , Fluid resource distribution , Population distribution and Environment science are presented here with an account of statement of geographer from various sources like journals, research paper and conference proceedings and statements. The engineering scope and geographic background are going to discuss together the futuristic infrastructure and co-operative institute  with ideas presented by each other to maintain a prosperous Environment.
pwrss R Paketi ile İstatistiksel Güç Analizi
Authors: Bulus Metin , Polat Cahit
Published: January 2025

Bu çalışmada istatistiksel güç analizinin teorik altyapısı ve hesaplama yaklaşımı yer almaktadır. Yaygın olarak kullanılan hipotez testleri için istatistiksel güç ve en küçük gerekli örneklem büyüklüğü ile ilgili gerekli formüller ve denklemler açıklanmıştır. Araştırmacılar örneklemden elde edilen tek bir oranın bir sabite karşı, iki oranın farkını, tek bir ortalamanın bir sabite karşı, iki ortalamanın farkını (bağımlı ve bağımsız örneklemler), tek bir korelasyonun sıfırdan farkını, iki korelasyon farkını, regresyondaki R2 değerinin sıfırdan farkını, hiyerarşik regresyonda iki R2 farkını, iki ya da daha fazla grup ortalamalarının karşılaştırılması için varyans/covaryans analizleri (tek faktörlü, iki faktörlü ve üç faktörlü ANOVA ya da ANCOVA) ve iki ya da daha fazla grup ve tekrarlı ölçümler söz konusu olduğunda varyans analizleri (tek faktörlü RM-ANOVA) testleri mevcuttur. Uygun görülen yerlerde, tek yönlü veya çift yönlü hipotez testlerinin ötesinde, daha çok tıp ve eczacılık alanlarında kullanılan, non-inferiority (pratik anlamda eşdeğer ya da üstün olma), superiority (pratik anlamda üstün olma), ve equivalence (pratik anlamda eşdeğer/denk olma) hipotez testleri de tanıtılmış ve uygulamaları gösterilmiştir. Hesaplamalar pwrss R paketi ile gerçekleştirilmiştir.
An Analysis of Teachers Use of Hands-On Instructional Media on Students’ Engagement in The English for Young Learners’ Classes (A Case Study at SDN 1 Terong Tawah)
Authors: Aditia Yusril , Waluyo Untung , Farmasari Santi , Soepriyanti Henny
Published: January 2025

This study investigates the implementation process, focusing on teaching methods, challenges encountered, and outcomes achieved. Employing a qualitative research design, data were gathered through classroom observations, teacher interviews, and analysis of lesson plans and teaching materials. Findings reveal that while teachers employ innovative strategies to engage students, their efforts are constrained by insufficient training and limited institutional support. Student engagement and comprehension vary, influenced by both instructional methods and the learning environment. The findings suggest that enhancing teacher training programs, providing adequate resources, and fostering collaboration among educators and stakeholders can significantly improve the effectiveness of the local content curriculum. Policymakers must prioritize systemic support to address challenges and ensure English instruction contributes effectively to students' language development and academic success.
TRABALHO ARTÍSTICO INFANTIL CIRCENSE: A PERSPECTIVA CULTURAL E OS OBSTÁCULOS PARA A EFETIVA FISCALIZAÇÃO
Authors: Alves Lorena Aparecida , Barbaresco Rogério Ananias
Published: January 2025

O presente trabalho tem o intuito de apresentar a pesquisa desenvolvida relativa ao tema do trabalho artístico da criança circense, com o objetivo de analisar os principais aspectos e peculiaridades da cultura circense impactam no processo de regulamentação dificultando o processo de fiscalização por parte dos órgãos responsáveis. Além de quê, tem por objetivo também, analisar o que há de disposto nas leis brasileiras, tanto sobre direitos constitucionais e a regulamentação do trabalho infantil, expondo a controvérisia na interpretação jurídica que impede a uniformização do tratamento da questão em cheque e a dificuldade de se legislar sobre o assunto pelo aspecto cultural. Como método de pesquisa foi realizado um levantamento bibliográfico e revisão de literatura, com finalidade de verificar o que se tem sobre o assunto, bem como qual órgão responsável por permitir esse tipo de trabalho e qual é responsável de fiscalizar, e ainda, quais as principais causas de controvérsias jurídicas.
Stalking- O crime silencioso no Ordenamento Jurídico Brasileiro
Authors: Hommos Yasmin Martins , Felizardo Beatriz Martins , Swerts Ana Carla Tavares Coelho
Published: January 2025

O estudo investiga o fenômeno do stalking, com foco na modalidade de cyberstalking no Brasil, abordando o impacto psicológico nas vítimas e a legislação protetiva recente. A metodologia utilizada é qualitativa, fundamentada em ampla revisão bibliográfica, visando consolidar um panorama teórico sobre o crime de perseguição, que tem se intensificado com o avanço das tecnologias e o anonimato facilitado nas redes sociais. Os resultados indicam que o stalking digital permite ao agressor controle e monitoramento constantes, gerando ansiedade e medo nas vítimas, em especial mulheres e grupos vulneráveis. A Lei nº 14.132/2021 representa um avanço ao tipificar a prática, porém desafios permanecem, como a distinção entre comportamentos aceitáveis e abusivos. O estudo conclui que a proteção das vítimas requer cooperação entre plataformas digitais, justiça e educação social sobre privacidade.
VITIMISMO E VITIMOLOGIA NO CONTEXTO CRIMINAL DAS DESIGUALDADES
Authors: Rodrigues Mariana Bárbara Teixeira , Rufino Yáskara de Faria Alvim Alves , Swerts Ana Carla Tavares Coelho
Published: January 2025

O presente artigo visa explorar os conceitos de vitimismo e vitimologia, suas implicações sociais e psicológicas e apontar as principais diferenças entre ambos. Através da análise de literaturas e dados, serão apontados argumentos que demonstram como essas categorias são estudadas e aplicadas em diferentes contextos, discutindo os impactos desses fenômenos na sociedade, particularmente em áreas do direito e psicologia.
Refere-se ao sofrimento da vítima após o ato criminoso, especialmente àquele oriundo dos procedimentos adotados pelas instituições públicas durante o processo criminal. Objetivou-se demonstrar a maneira pela qual o atual sistema criminal brasileiro impõe o processo de vitimização à vítima do crime, além de analisar a relação entre a referida vítima e os órgãos estatais durante o mencionado processo. Para tanto, realizou-se uma análise de dados de caráter exploratório, a partir da coleta de informações, por meio de revisões bibliográficas, na qual se constatou o reconhecimento da vitimização pela vítima.
PRINCÍPIO DA PROPORCIONALIDADE APLICADO A PENA DE MORTE NO CONTEXTO NACIONAL BRASILEIRO
Authors: Almeida Jonatas de , Batista João Otávio Galieta , Barbaresco Rogério Ananias
Published: January 2025

O presente trabalho contextualiza o Princípio da Proporcionalidade aplicado a pena de morte sob uma perspectiva da legislação brasileira, demonstrando apontamentos favoráveis e contra essa medida de punição. Utilizou-se como base de pesquisa os posicionamentos de grandes juristas e doutrinadores no âmbito penal, notadamente os escritos de Marcelo Barros Jobim e de Thiago Baldani Gomes de Filippo, todos analisados partindo de uma visão constitucional do assunto. Busca-se contribuir com o pensamento acerca do tema, objetivando incrementar a discussão no âmbito legislativo, respeitando a ética, a moral e os direitos individuais de cada indivíduo, bem como as normas de tratados internacionais nos quais o Brasil é parte, sempre tendo como norte a punição justa e adequada do delinquente. Para melhor compreensão do tema, empregou-se o estudo exploratório qualitativo documental baseado em textos jurídicos e doutrinas relacionados ao tema. A análise criteriosa destes materiais ajudou a evidenciar que a proporcionalidade vai além de ser um mero balizador legal. Em vez disso, tornou-se claro que o referido princípio é aplicado como instrumento de defesa dos direitos humanos.
INTELIGÊNCIA ARTIFICIAL NOS PROCESSOS DE ENSINO E APRENDIZAGEM
Authors: Cardozo Júnior Francisco Marques , Silva Kelly Antoniêta Cosme da , Cardozo Kênia Cosme da Silva , Silva Darlene Abreu da
Published: January 2025

Este estudo aborda a Inteligência Artificial (IA) e o impacto do seu uso nos processos de ensino e aprendizagem. Objetivou-se refletir sobre como a IA pode potencializar a aprendizagem em ambientes educacionais. Adotou-se a pesquisa bibliográfica, utilizando-se de dados teóricos secundários e suas contribuições para o tema em questão. A pesquisa   destacou que os dias atuais descortinam desafios para a educação, a qual deve propiciar a formação de indivíduos criativos e habilidosos, considerando as tecnologias e suas inovações. Estas se fazem bem presentes no cotidiano da sociedade e avançam em uma velocidade cada vez maior. Diante dos programas criados para apoiar no aprendizado dos estudantes, do suporte inteligente advindo da tecnologia, das customizações úteis para uma aprendizagem personalizada, colaborativa, é a mediação do material humano que programará o aprofundamento do conhecimento a ser absorvido por cada sujeito que se pretende um ser crítico, ético e produtivo.
Entrevista com o Prof. Dr. Alvino Rodrigues de Carvalho
Authors: Souza Bruno Mello , Nascimento Ana Maria Bezerra do
Published: January 2025

A seguir, apresentamos uma entrevista com o Professor Alvino Rodrigues de Carvalho. Graduado em Ciências Sociais pela UFMG, onde obteve os títulos de bacharel e licenciado, o professor concluiu seu mestrado em Ciência Política na mesma instituição em junho de 2007...
ConfiguraçõesRELAÇÕES E INTERAÇÕES CONSTRUÍDAS (OU NÃO) ENTRE A DISCIPLINA SOCIOLOGIA E JUVENTUDES EM UMA ESCOLA PÚBLICA DE TERESINA/PI
Authors: SOUSA LUCIANO DE MELO , Costa Marcos Rangel de Sousa
Published: January 2025

O presente artigo refere-se aos estudos e interpretações sociológicos que permitem perceber a relação entre os jovens estudantes de uma escola pública de Ensino Médio de Teresina com a disciplina Sociologia. O trabalho baseia-se em uma pesquisa que teve como objetivo compreender a relação entre os jovens com a Sociologia, tendo em vista a contribuição, ou não, desta na construção das reflexões e compreensões de suas realidades sociais. Para tal, são discutidos os conceitos sobre juventude e juventudes na intenção de estabelecer as diferenças entre um conceito e outro (UNESCO, 2004; ESTEVES, ABRAMOVAY, 2007). Debate-se o ensino de Sociologia e o seu papel enquanto disciplina do Ensino Médio na formação de sujeitos reflexivos, capazes de interpretar, compreender e questionar as sociedades e suas estruturas econômica, social e política (SILVA SOBRINHO, 2007; APPLE, 2004; SARANDY, 2004; LAHIRE, 2014). Metodologicamente, esta é uma pesquisa de caráter exploratório que se desenvolveu a partir da realização de grupo focal e entrevistas individuais. Os resultados da pesquisa indicam que as juventudes não se relacionam com a disciplina Sociologia a partir das experiências vivenciadas em seus contextos sociais. Verifica-se que há um distanciamento dos estudantes perante a disciplina, mesmo aqueles que gostam dela, tendo em vista que a prática pedagógica conservadora do professor não os envolve em debates que incluam suas experiências, seus anseios, suas realidades e suas identidades.
Pengelompokan Keaktifan Anggota Perpustakaan Menggunakan Algoritma K-Means
Authors: Sulaiman Hamdun , Yuri Yuliani  , Kukuh Panggalih  , M. Iqbal Alifudin  , Kudiantoro Widianto
Published: January 2025

This study aims to analyze membership activity at the Rimba Baca Library in South Jakarta using the K-Means algorithm. The background of this research is the library's need to understand membership patterns and improve services based on visit and book borrowing data. The dataset for this study consists of 81 membership records collected from 2023 to 2024. The methodology involved collecting visit and book borrowing data, then applying the K-Means algorithm to cluster members based on their activity levels. The results of the study indicate the presence of three clusters with different characteristics. Cluster 1 comprises very active members, while Clusters 0 and 2 exhibit lower levels of activity. These findings provide insights for the library to develop more effective service strategies, such as special promotions and programs to increase activity among less active member groups. Additionally, the study shows that membership types allowing for more book borrowings do not necessarily correlate with high activity levels. With this information, the library can enhance member engagement and optimize the use of existing resources, thereby creating a more dynamic and interactive environment for all visitors
Implementasi Algoritma K-Means Untuk Rekomendasi Pengadaan Buku
Authors: Ardhianto Aan , Dwi Hartanti  , Joni Maulindar
Published: January 2025

One of the main challenges faced by libraries is determining the procurement of book collections that align with the needs and interests of borrowers. At the Sragen Regency Archives and Library Service, book procurement is often based on intuition or unstructured requests, resulting in many books that are less popular among visitors. This leads to a low number of book borrowings, meaning the library cannot provide optimal services. Based on this issue, the author attempts to cluster the book borrowing data for the year 2023 from the Sragen Regency Archives and Library Service by age group, book categories, number of borrowings, number of titles, and number of copies using data mining techniques with the k-means clustering algorithm. For the initial data processing, the author uses the Min-Max normalization method. After normalization, k-means is calculated with 3 clusters, followed by finding the optimal cluster using the elbow method, silhouette, and gap statistics. The results of the optimal cluster are compared with the results from the Dunn Index method. The research identifies three clusters: Cluster 1 contains book groups with low interest, consisting of 7 categories: General Works, Social Sciences, Language, Pure Sciences, Applied Sciences, Arts and Sports, History and Geography; Cluster 2 contains book groups with moderate interest, consisting of 2 categories: Philosophy and Psychology, Religion; and Cluster 3 contains the book group with the highest interest, consisting of 1 category: Literature
Penerapan Algoritma K-Means Untuk Klasterisasi Produktivitas Tanaman Jahe
Authors: Nayla Salsabila  , Karina Aulisari  , Hani Zulfia Zahro
Published: January 2025

Sumenep Regency is one of the regions that produces ginger plants in East Java province, and has become one of the mainstays of the community's economy. However, there are obstacles faced, namely the size of the planting area, erratic weather changes and the lack of modern technology in ginger cultivation which are the main causes in affecting crop yields and product quality. This study aims to implement data mining using a web-based K-Means clustering algorithm to group ginger-producing areas in Sumenep Regency. The data used was 108 data covering the area of harvest areas and the amount of production per sub-district from 2020 to 2023 taken from the official website of the Central Statistics Agency (BPS) of Sumenep Regency. The K-Means algorithm was chosen because of its advantages in efficiently managing large amounts of numerical data, helping to recognize distribution patterns such as harvest area and production amount to produce the right cluster, its relatively simple implementation and easy-to-interpret clustering results. The results of the study show that the Sumenep Regency area can be grouped into 2 clusters based on ginger plant productivity, namely cluster 1 with 104 sub-districts and cluster 2 with 4 sub-districts. This research is expected to help farmers and the government in identifying areas with high and low productivity, optimizing land and resource use, and increasing productivity and income
Pengembangan Media Pembelajaran Ke NWDI-An Berbasis Mobile
Authors: Putra Yupi Kuspandi , Muh. Adrian Juniarta Hidayat  , Fathurrahman  , Almi Yulistia Alwanda  , Ahmad Firdaus
Published: January 2025

The rapid development of information and communication technology (ICT) has brought significant changes in various aspects of life, including in the field of education.  The need for effective and efficient learning media is increasingly urgent along with demands to improve the quality of education that is relevant to current developments. However, there are still several obstacles such as the lack of active role of students in the learning process and the limited learning media used. Learning resources in presenting material still use PowerPoint slides which are not yet interactive, resulting in a lack of student interest in learning. Therefore, this research aims to develop learning media, to support a more effective and interactive teaching and learning process. The method used in this research is Research and Development with the ADDIE model (Analyze, Design, Development, Implementation, and Evaluation) which is a teaching design system that is centered on individual learning, has immediate and long-term phases, is systematic, and uses a systems approach to knowledge. and human learning. The result of this research is a mobile-based learning media application with the hope that it can help increase students' understanding and interest in learning in NWDI courses, especially at the Faculty of Engineering, Hamzanwadi University.
Multidual Gamma function
Authors:   Department of Mathematics and LDMM Laboratory, University of Djelfa, Algeria., Messelmi Farid
Published: January 2025

The purpose of this paper is to contribute to the development of the multidual Gamma function. For this aim, we start by defining the multidual Gamma and we propose a multidual analysis technics of in order to show a result regarding real Gamma function.
Contributions to hyperbolic 1-parameter inequalities
Authors:   Universite Paris-Sorbonne, Paris-Nord, Institut Galilee, LAGA, 93400 Villetaneuse, France, Chouikha Abd Raouf , Chesneau Christophe ,   Department of Mathematics, LMNO, University of Caen, 14032 Caen, France
Published: January 2025

In this article we provide classes of hyperbolic chains of inequalities depending on a certain parameter n. New refinements as well as new results are offered. Some graphical analyses support the theoretical results.
Asymptotic stability of stochastic single-species model under regime switching
Authors:   School of Mathematics and Information Science, Henan Polytechnic University, Jiaozuo 454003, China., Geng Zhihao , Yang Manqing ,   School of Mathematics and Information Science, Henan Polytechnic University, Jiaozuo 454003, China.
Published: January 2025

This paper investigates the stationary probability distribution of the well-known stochastic logistic equation under regime switching. Sufficient conditions for the asymptotic stability of both the zero solution and the positive equilibrium are derived. The stationary distribution of the logistic equation under Markovian switching is obtained by computing the weighted mean of the stationary distributions of its subsystems. The weights correspond to the limiting distribution of the underlying Markov chain.
Mapping Land at Risk of Marine Submersion in the Coastal Alluvial Plains of Eastern Tunisia: A Review
Authors: Walid Chouari
Published: January 2025

Tunisia’s coastal alluvial plains are fragile areas exposed to occasional disturbances (including storms, submersion, and floods) and serious imbalances, such as rising sea level, erosion, and salinisation of soils. Their sensitivity tends to increase under the impact of strong anthropogenic pressures: population growth, rapid urbanisation, and concentration of economic activities. With the acceleration of climate change and the associated rise in sea level, these areas are facing a new challenge. At the interface between land and sea, scattered across these coastal alluvial plains are wetlands that are predisposed to marine submersion due to a combination of factors. Diachronic analysis of cartographic documents has made it possible to produce geodynamic maps. These were used in the current study to assess sea level rise and flooding, as well as their impact on the future development of coastal alluvial plains, particularly during exceptional weather and sea conditions. The findings show that a poor understanding of the mechanisms specific to these environments has often resulted in short-sighted sectoral approaches to land use planning. Sabkhas and lagoons alone account for more than half of all submerged areas. Coastal wetland ecosystems will be threatened by changes in living conditions, as the rather saline ‎biocenosis will be transformed into a euryhaline lagoon biocenosis.‎
Hepatoprotective effect of aqueous extract of hibiscus leaves in female albino rats treated with Tamoxifen
Authors: Raghad Kh. Ibraheem Al. jubory  , Sahar A. Taha
Published: January 2025

Background: Breast cancer is a perilous malignancy and a predominant source of mortality in women. The incidence of breast cancer is steadily rising due to risk factors such as age, menopause, obesity, hormone replacement treatment, familial history, as well as environmental and lifestyle influences
Objective: This study assesses the hepatoprotective efficacy of oral pretreatment with varying dosages of aqueous extract from the leaves of Hibiscus sabdariffa L. against Tamoxifen induced hepatic damage
Material and Methods: It was used 30 female (Sprague Dawley) rats were divided into six groups, each group subjected to five individuals, Group I: The control group was administered normal saline, Group II: The negative control group was administered a single intraperitoneal dosage of Tamoxifen (10 mg/kg body weight) on the eighth day of the experimental period. Groups III and IV : co-treatment groups with 2 doses 250, 500 mg/kg BW of Aqueous extract leaves of Hibiscus sabdariffa L. Groups V and VI : co-treatment groups with 2 doses 250, 500 mg/kg BW of Aqueous extract leaves of Hibiscus sabdariffa L in addition to a single intraperitoneal administration of Tamoxifen. Induction of Hepatoxicity started from day 8 intraperitonelly, up to day 21.
Results: Results showed the beneficial effects of Hibiscus sabdariffa L. leaves on Glutathium and Superoxide desmutase, along with the enhancement of antioxidant capacity in liver tissue, indicate that these leaves will mitigate oxidative stress induced by Tamoxifen and decrease Reactive oxygen species induced lipid peroxidation, as evidenced by the significantly reduced levels of Malondialdehyde in the liver tissue compared to the control group. Lipid peroxidation and mitochondrial dysfunction induced by Tamoxifen will ultimately result in cellular injury and membrane damage, compromising cellular integrity. Consequently, liver cell contents, particularly the enzymes ALT, AST, and ALP, will be released into the bloodstream from the compromised cells.The leaves of Hibiscus sabdariffa L. maintain oxidative equilibrium within liver tissue, so averting hepatic damage, as seen by the considerable and dose-dependent decrease in blood ALT, AST, and ALP levels.
Conclusion: The effectiveness of the aqueous extract of the plant in inhibiting the activity of free radicals and neutralizing the oxidative stress induced by the drug Tamoxifen in the liver tissue and some functional parameters in female white rats.
IPv4 vs. IPv6 in cloud engineering: performance, security and cost analysis
Authors: Naveen Kodakandla
Published: January 2025

There comes a time when the limitations of IPv4 meet the infinite potential of IPv6 in the world of the digital. In this study we take a deep dive into the exact switch from IPv4 to IPv6, shedding light on how the next generation protocol tackles the pressure points of scalability, security, and performance in cloud building. By combining an expansive 128 bit address space with built in IPsec for reliable security, IPv6 does away with address exhaustion constraints of IPv4 while reducing packet handling overhead through streamlined packet implementation. Analysis further indicates that IPv6 is ahead of IPv4 in terms of Ipv6 performs better in areas like reduced latency, better throughput, and full compatibility with cutting edge technologies like the Internet of Things (IoT), 5G, and AI based systems. While there are challenges to full adoption in the form of legacy incompatibility, Limited readiness on ISP's parts, and a financial cost to moving, however the path cannot be bypassed, after all. Despite these challenges IPv6 remains the cornerstone of an internet future that can be deployed securely and scalable. Finally, this research provides organizations with the actionable insights and developed phased strategies to embrace IPv6, mitigating short term difficulties while abundant long term benefits. IPv6 is not an upgrade IPv6 is a need, because at the core of tomorrow’s cloud ecosystems, IPv6 will be needed.
Container security in the cloud: Hardening orchestration platforms against emerging threats
Authors: Sina Ahmadi
Published: January 2025

Container proliferation and platform orchestration tools like Kubernetes have accelerated the deployment and scalability of applications in the cloud. However, these advances come at a cost, and the old and new environments are vulnerable to lateral movement attacks, misconfiguration, unpatched container images, and inadequate access control. This paper explores comprehensive strategies to enhance container security, focusing on key areas: Network security policies, runtime security, access management, supply chain security, and orchestration platform security. The proposed framework emphasizes network segmentation, real-time anomaly detection, robust role-based access control (RBAC), automated vulnerability assessments, and optimized network configurations. In a pilot implementation, the framework reduced security incidents by 35%, improved compliance by 25%, and boosted overall operational efficiency by 20%. The success rates, proven in this study, confirm the possibility of a balanced security model for defending successful workloads in cloud orchestration platforms against external attempts of unauthorized access and data manipulation. This work emphasizes the necessity for new approaches to protecting highly dynamic containerized environments as we know them today.
Examining social support, psychological resilience and general wellbeing of newly employed nurses at quezon city general hospital
Authors: QIAOYU LI
Published: January 2025

Caring professions, such as nursing, can be emotionally draining, resulting in high stress levels and career burnout. Nurses face multiple and complex challenges in a profession characterized by work intensification, increased accountability, and demands for high-quality patient care. Nurse stress and burnout are growing concerns, but resilience in nursing has been linked to positive outcomes such as improved care quality, enthusiasm, and commitment, as well as positive outcomes for patients. Research suggests that social support can significantly predict coping strategies (Kong et al., 2019). Nurses with a high level of social support demonstrate better social adaptation skills and use positive coping strategies to address challenges.

This study aimed to examine social support, psychological resilience, and general well-being among newly employed nurses at Quezon City General Hospital. The findings of this study will greatly benefit these nurses by providing insights into how social support and resilience can enhance their well-being and professional performance. The study employed a descriptive research method, collecting data through a survey questionnaire. Close-ended questions were used to gather actionable, qualitative data, which were then interpreted into visual insights such as graphs, charts, and concept maps. The researcher utilized the descriptive survey method within a quantitative research design.
Population growth and urbanization pattern in Mymensingh district
Authors: Tabassum Faria  , Nasreen Rafiq
Published: January 2025

Urbanization plays an important role in the economy of a country. But the pattern and the process of urbanization in Bangladesh is very much uneven. So, for the economic development of a country, it is necessary to emphasis on the process and pattern of urbanization. That’s why for my project work I selected my topic on “Population Growth & Urbanization pattern of Mymensingh District” with the help of my supervisor. From my project paper, it is clearly seen that the pattern of urbanization in Mymensingh district is also very much uneven as like as overall scenario of Bangladesh. Among the 12 upazilas of Mymensingh district, Mymensingh Sadar upazila is well developed with municipal facilities that’s why most of the people are concentrated here. On the other hand, Dhobaura upazila is the lowest urbanized area, because of the absence of some common urban facilities. On the other hand, Phulpur upazila ranks 1st position in area measuring scale but has a very low level of urbanization. This study will help to understand the overall scenario of “Population Growth & Urbanization Pattern of Mymensingh District”. This analysis will also play in beneficial role to the proper urban management of the Mymensingh district.
The influence of pharmaceutical service quality on outpatient satisfaction levels at the regional general hospital of central buton regency in 2024
Authors: Sri Nur Latifah Idris  , Yusuf Sabilu  , Nani Yuniar
Published: January 2025

Introduction Pharmaceutical services are an important part of the health service system in hospitals because they play a direct role in supporting successful treatment and increasing patient satisfaction.

Research objective to determine the influence of the quality of pharmaceutical services on outpatient satisfaction at the pharmacy installation of Regional Public Hospital of Central Buton Regency in 2024.

Method : This type of research is quantitative research with cross sectional design. The research sample amounted to 100 people. Sampling using purposed sampling method. The research instrument used questionnaire and data analysis was carried out by univariate, bivariate and multivariate analysis.

Results The results of the study showed that the variables of Physical Evidence/Tangible (p-value = 0.015), Reliability (p-value = 0.001), Responsiveness (p-value = 0.001), Assurance (p-value = 0.023), Empathy (p-value = 0.024) and Conformance (p-value = 0.023) which means that there is an influence of Physical Evidence, Reliability, Responsiveness, Assurance, Empathy and Conformance on patient satisfaction.

Conclusion There is an influence of the quality of pharmaceutical services on the satisfaction of outpatients at the Regional Public Hospital of Central Buton Regency.