bluuebunny/crossref_metadata_2025 huggingface dataset:
Türkiye Voleybol Federasyonu'nun Örgütsel Kimlik Yapısının İncelenmesi
Authors: Solmaz Serdar , Çolakoğlu Tekin
Published: January 2025

Bu çalışmada, Türkiye Voleybol Federasyonu'nun (TVF) örgütsel kimlik yapısının betimlenmesi amaçlanmıştır. Nitel araştırma desenlerinden betimsel durum çalışması şeklinde tasarlanan bu araştırmada, çalışma grubunun belirlenmesinde amaçlı örneklem yöntemlerinden ölçüt örnekleme kullanılmıştır. TVF'yi derinlemesine betimlemek ve araştırmanın geçerliliğini sağlamak amacıyla doküman incelemesi, araştırmacı günlüğü ve yarı yapılandırılmış görüşmelerden yararlanılmıştır. Ayrıca veri analizi sürecinde kodlayıcılar arası uzlaşma sağlanmıştır. Araştırma sonucunda elde edilen bulgulara göre TVF'nin temel değerleri; yüksek aidiyet ve özveri, başarı yönelimliliği, altyapı ve eğitim odaklılığı, özgürlükçü yapısı, fikirlere önem veren ve yeniliğe açık olma olarak belirlenmiştir. Ayrıca federasyon içerisinde kurumsallaşmış bir örgüt yapısı hakim olmakla birlikte, Spor Hizmetleri Genel Müdürlüğü'nün (SHGM) etkililiği hibrit bir yapıyı beraberinde getirmektedir. Güçlü iç ve dış paydaş ilişkilerinin yanı sıra uluslararası spor örgütlenmeleri üzerindeki etkililik ve bu örgütlere teknik bağlılık da ön plana çıkan diğer bulgulardandır. Son olarak, TVF üzerinde baskın bir kadın hegomonyası algısı olduğu saptanmıştır. Araştırma sonuçları, dış paydaşların TVF'nin örgütsel kimliği üzerinde etkili olduğunu göstermektedir. Bu durum, TVF'nin hibrit kimlik yapısının bir yansıması olarak düşünülebilir. TVF, hem içsel dinamiklerinden hem de dış etkilerden şekillenen bir kimlik yapısına sahip olduğu sonucuna ulaşılmıştır.
Almanya’da Terapötik Rekreasyon Merkezlerinin (Kurort-Kür Beldesi ) Sağlık Ve Spor Turizmi Açısından İncelenmesi
Authors: Bayraktar Gülru , Yumuk Elvan Deniz , Güngörmüş Hamdi Alper
Published: January 2025

Almanya, tarih boyunca çeşitli terapötik rekreasyon merkezleri (Kurort-kür beldeleri) ile sağlık ve spor turizmi alanında öncü bir ülke olmuştur. Bu çalışma, Almanya’daki kür beldelerinin genel yapısını, çalışma prensiplerini, farklılaşan yönlerini ve sınıflandırılması üzerine bir inceleme sunmaktadır. Almanya’da yaklaşık 350 adet resmi olarak tanınmış Kür Beldesi bulunmaktadır. Bu merkezler, doğal kaynakların etkin kullanımına dayanan şifa uygulamaları ve modern tedavi yöntemlerini birleştirir. Kür beldeleri, genellikle sağlık hizmetleri, spor aktiviteleri ve doğal terapilerin bir arada sunulduğu alanlar olarak tanımlanabilir. Bu merkezlerin sağlık ve spor turizmine olan katkıları, bireylerin hem fiziksel hem de zihinsel iyileşmesine odaklanmasıyla çeşitlilik göstermektedir. Sonuç olarak kür beldelerinin yapısal ve fonksiyonel açıdan detaylı bir analizini sunan bu çalışma sağlık ve spor turizmi açısından kür beldelerinin taşıdığı stratejik önemi vurgulamaktadır.
Implementasi Program Identifikasi Bakat Olahraga Sepakbola Anak Usia 10-15 Tahun Berbasis Software R Programming di PSSI Provinsi Jambi
Authors: Adrizal Mohd. , Hadinata Reza , Daya Wawan Junresti , Mardian Roli , Munar Hendri
Published: January 2025

Identifikasi bakat olahraga pada anak-anak tidak pernah dilakukan secara tepat dan belum memanfaatkan teknologi dan software yang mendukung dalam proses mengidentifikasi bakat olahraga. Khususnya di cabang olahraga sepakbola, bakat anak-anak dari usia 10-15 tahun belum pernah dilakukan, sehingga prestasi olahraga Sepakbola di Jambi tidak pernah berkembang. Padahal indentifikasi bakat bertujuan untuk memilih atlet muda paling menjanjikan dengan potensi untuk menjadi unggul dan professional. Oleh sebab itu, perlu dilakukan upaya sosialisasi dan penerapan identifikasi bakat olahraga sepakbola di PSSI Provinsi Jambi dengan memanfaatkan software R Programming. R programing merupakan program yang dapat dengan mudah mengenali bakat atletik. Skrip R Programming dapat digunakan untuk memeriksa data keterbakatan seorang calon atlet sejak usia dini. Pengabdian ini bertujuan untuk membantu mitra dalam mengatasi masalah
prioritas dengan cara menerapkan program identifikasi bakat sepakbola di PSSI Provinsi Jambi yang memanfaatkan kemajuan teknologi berupa software R Programming untuk mendeteksi calon-calon atlet usia dini yang berbakat. Pengabdian ini juga melibatkan mahasiswa dalam proses PKM yang dilakukan. Dengan adanya pelibatan mahasiswa dan dosen diharapkan dapat menjembatani kolaborasi antara Kampus Universitas Jambi khususnya di Jurusan Pendidikan Olahraga dan Kepelatihan dengan mitra PSSI Provinsi Jambi menciptakan MoU kerjasama sebagaimana tuntutan MBKM saat ini. Hasil pengabdian ini menunjukkan bahwa seluruh peserta mengikuti acara dengan sangat antusias, dari total 50 atlet yang diteliti, hanya 11 (22%) atlet sepakbola usia dini yang menunjukkan keterampilan atau bakat olahraga Sepakbola, sementara 39 (78%) atlet lainnya tidak memiliki keterbakatan dalam olahraga sepakbola.
Implementing SOSTAC Model for Marketing Communication Strategy: A Case Study of Assalam Hypermarket
Authors: Aditya Muhammad Hanif , Muanas Arif , Khaldun Muhammad Ibnu
Published: January 2025

This study aims to analyse the implementation of marketing communication strategies using the SOSTAC (Situation, Objectives, Strategy, Tactics, Action, Control) framework at Assalam Hypermarket, Sukoharjo. The research method used is a qualitative descriptive approach, which consists of three stages: Pre-Field, Field Implementation, and Data Analysis. Data collection was conducted through in-depth interviews with the CEO and the Marketing and Public Relations Division of Assalam Hypermarket, observation, and documentation. Integrated Marketing Communication (IMC) approaches consistently, from branding to integrated advertising and event marketing. The findings reflect the company's commitment to building engagement with customers and communities, and show that Assalam Hypermarket not only focuses on implementing marketing strategies, but also actively monitors and evaluates their effectiveness. This research is expected to provide valuable insights for the development of marketing communication strategies in the Islamic retail sector in Indonesia
Garantía mínima de asistencia gratuita por intérpretes en el procedimiento declarativo de refugiado en el Ecuador
Authors:   Universidad Bolivariana del Ecuador, Almeida Hidrobo Jeoffre Arnaldo , Campos Cárdenas Fátima Eugenia ,   Universidad Bolivariana del Ecuador
Published: January 2025

En el Ecuador, las personas que solicitan el refugio deben afrontar barreras lingüísticas que se suponen un límite en su acceso al debido proceso y a la protección de sus derechos fundamentales. La problemática consiste en una insuficiencia de intérpretes gratuitos a lo largo del proceso relativo de refugio, esto a pesar de que existen garantías establecidas en normativas tanto nacionales como internacionales. El objetivo general de este estudio es "Proponer la derogación del Decreto Ejecutivo No. 1182 y el diseño de un marco normativo que incorpore la asistencia gratuita por intérpretes en todo el procedimiento declarativo de refugiado en el Ecuador, con el fin de fortalecer el acceso a la justicia y los derechos de los solicitantes". La investigación emplea un enfoque cualitativo, con análisis documental aplicado a normativas vigentes y estándares internacionales, lo cual se complementa con una entrevista dirigida a profesionales del área de derecho y organismos vinculados con temas de refugio. Los resultados de la entrevista permiten evidenciar que existen deficiencias significativas en la provisión de intérpretes, específicamente para idiomas menos comunes, la falta de formación especializada y la ausencia de mecanismos efectivos para dar seguimiento en estos procesos. Adicionalmente se identifica que existen límites en cuanto a la asignación de recursos económicos y técnicos. En conclusión, es necesario realizar labores para fortalecer el derecho a través de capacitaciones dirigidas a intérpretes, además de la creación de un registro especializado y el diseño y puesta en marcha de políticas públicas a través de las cuales se brinda garantías de un acceso equitativo deficiente a la justicia para personas refugiadas en el país.
La gamificación sustentada en la didáctica aplicada en los estudiantes de Educación General Básica Media
Authors:   Estudiante de la Carrera de Pedagogía de la Lengua y la Literatura, Universidad Técnica de Cotopaxi, Pujilí, Ecuador., Arteaga Vega Aracely Abigail
Published: January 2025

En el siguiente trabajo de investigación, contiene basamento teórico en cuanto a la gamificación sustentada en la didáctica aplicada a de Educación General Básica Media. Por lo tanto, el aporte de la gamificación en el contexto educativo ha demostrado tener beneficios en cuanto a la retención del conocimiento por la interactividad que existe con los estudiantes en el aprender jugando, así pues, varios estudios anteriores demuestran la efectividad de la gamificación en áreas como: Matemáticas e Inglés, por ello en este artículo se pretende identificar y analizar el aprendizaje desde la gamificación, cuyo contenido es de conocimiento para los estudiantes, asimismo, diagnosticar y evaluar cómo estos pueden ser satisfechos con la efectividad de la gamificación sustentada en la didáctica, aplicada en el área de Lengua y Literatura, impulsando su implementación por medio de recomendaciones basadas en la experiencia y evidencia recopilada en la realización de este trabajo. En resumen, la utilización de la gamificación puede ser de mucho beneficio cuando en el aula de clases se encuentra diversos estilos de aprendizaje, con la gamificación se despierta la motivación, el interés, por consiguiente, el rendimiento académico de los estudiantes pudiera mejorar luego de esta intervención.
Impacto de la tecnología educativa en el aprendizaje: una revisión bibliográfica
Authors:   Dirección e Innovación de los Centros Educativos, Guayaquil, Ecuador., Caicedo Ayovi, Leber
Published: January 2025

El presente estudio aborda la temática del uso de la tecnología educativa en el proceso de aprendizaje, considerando que, la tecnología educativa hace referencia al uso de diversas herramientas y recursos tecnológicos que facilitan el proceso de enseñanza y aprendizaje en contextos educativos, mientras que, el aprendizaje, constituye un proceso complejo y continuo en el cual las personas adquieren conocimientos, habilidades y competencias a lo largo del tiempo. El objetivo del estudio se centró en analizar el impacto de la tecnología educativa en el proceso de enseñanza-aprendizaje, a través de una investigación cualitativa, descriptiva, transversal y no experimental a partir del análisis de artículos publicados en bases de datos como Dialnet, Scielo, Elsevier, Taylor & Francis, Latindex 2.0 y presentes en Google Scholar, publicados en el período 2020-2025. Dentro de los principales resultados se observa que, la tecnología educativa está transformando el proceso de enseñanza-aprendizaje al facilitar el acceso a recursos de calidad y permitir una enseñanza personalizada, lo que incrementa el compromiso y la motivación de los estudiantes. Aunque presenta grandes beneficios, enfrenta desafíos como la brecha digital y la necesidad de capacitación docente. Por consiguiente, se concluye que, la integración exitosa requiere una estrategia inclusiva, inversión en infraestructura y formación, así como la colaboración entre educadores y desarrolladores tecnológicos. Solo con una implementación consciente y equitativa se podrá aprovechar todo su potencial para mejorar la educación de manera efectiva y accesible.
Author Replies to Critics
Authors: Hahnel Robin
Published: January 2025

This is my response to what three "critics" have written about my book, Democratic Economic Planning (Routledge, 2021). I thank my "critics" and the Erasmus Journal for Philosophy and Economics for taking my work seriously, and hope this probing exchange will serve to improve thinking about alternatives to capitalism as the twenty-first century proceeds. In each of my responses I begin by highlighting areas of agreement, then identify areas where perhaps our disagreement may not be critical, and conclude by explaining my point of view where I believe our disagreement does matter.
Improving Thermal Friction Drilling Performance of AISI 304 Stainless Steel Using the Harris Hawk Optimization Method
Authors: Ogunmola Bayo Yemisi , Alozie Nehemiah Sabinus , Adeyinka Oluwo , Nwankiti Ugochukwu Sixtus , Oke Sunday Ayoola , Rajan John , Jose Swaminathan
Published: January 2025

Presently, in friction drilling optimization schemes, quick convergence of solutions and simplicity of methods are still challenging. These issues are drawbacks in obtaining the maximum potential benefits from the optimization process. Therefore, this paper applies a new optimization method, Harris Hawk optimization to the thermal drilling process of AISI 304 stainless steel. The algorithm minimizes the axial force, determination error, radial force, and radial error and maximizes the bushing length as the major output of the process. The proposed approach was tested with experimental data obtained from the literature. The obtained results indicate that the optimal production is feasible. An example is given here of the results of the input parameters for the minimum axial force, which is as follows: After 500 iterations, the optimal axial force yields a tool cylindrical region diameter of 5.78593 mm, a friction angle of 60 degrees, a friction contact area ratio of 57.7082, workpiece thickness of 3 mm, feed rate of 140 mm/min and rotational speed of 3002.85 rpm, which can be applied. The results assist engineers in implementing optimal conditions for the drilling process. The outcome of this study strengthens decisions to establish thresholds of values that are less or more than expected thereby providing a basis for comparison, reward, and reprimand for workers. Thus the drilling process can be optimized.
Das waldensische Bibelmanuskript C169 [706] der Zentralbibliothek Zürich
Authors: Nüesch Hans-Rudolf
Published: January 2025

Das Bibelmanuskript C169 der Zentralbibliothek Zürich weist innerhalb der waldensischen Versionen eine Sonderstellung auf. Seit den Forschungen von REUSS wissen wir, dass der Text an zahlreichen Stellen auf dem textus receptus in Latein oder Griechisch von ERASMUS basiert. Die vorliegende Ausgabe ergänzt die Ausführungen von REUSS durch zahlreiche weitere Belege. Der kritische Apparat dieser Edition gibt auch Aufschluss darüber, dass das Zürcher Manuskript eng verbunden ist mit der waldensischen Version aus Carpentras und dass ebenso altokzitanische Quellen ihre Spuren hinterlassen haben. Mit einer vergleichenden Studie wird zudem belegt, dass das Zürcher Manuskript OLIVETAN als Vorlage für seinen französischen Bibeldruck diente.
The Effects of Applying the Tribological Compound TZ NIOD – reversing wear
Authors: Harrer Philipp , Svetov Dmitrii , Eisner Patrick , Lackner Maximilian
Published: January 2025

TZ NIOD is a complex mixture of silicate material powder, to mix with lubricant and apply to moving parts of a device under operation to improve its tribological properties. It reaches worn surfaces and highly loaded friction points to react with the material creat ing a modified surface layer. Empirical analyses with TZ NIOD applied to used piston air compressors required a down time of only 60 minutes and resulted in reducing the average power consumption per pressure vessel filling cycle by 20.7 W (-7.8 %) and reduc ing the average filling time of the pressure vessel by 3.9 seconds (-5.1 %).
Einfluss fertigungsbedingter Effekte auf das tribologische Verhalten im ADAM-Verfahren gedruckter Bauteile
Authors: Orgeldinger Christian , Seynstahl Armin , Rosnitschek Tobias , Zimmermann Anna , Tremmel Stephan
Published: January 2025

Additive Fertigungsverfahren haben in den letzten Jahren immer weiter an Bedeutung gewonnen. Allerdings ist der Einsatz so hergestellter Bauteile in tribologischen Anwendungen – insbesondere für metallische Bauteile – nach wie vor nur wenig untersucht. Im Rahmen dieser Arbeit wird analysiert, inwiefern sich im Atomic Diffusion Additive Manufacturing (ADAM)-Verfahren gedruckte Bauteile für den Einsatz in tribomechanischen Systemen eignen. Der Fokus liegt dabei auf dem tribologischen Verhalten des Werkzeugstahls D2 gegenüber 100Cr6 bei Schmierung mit Tiefziehöl unter Berücksichtigung richtungsabhängiger Fertigungseffekte. Die ersten tribologischen Untersuchungen mit dem ADAM-Verfahren zeigen großes Optimierungspotential für mögliche Anwendungen im Bereich der Umformtechnik. Die Oberflächenbehandlung der Proben hat sich in den Untersuchungen als notwendig herausgestellt.
Trend Ekspor Komoditas Perkebunan di Indonesia
Authors: Ibrahim Noer Ibrah , Syafiuddin Syafiuddin , Akhmad Akhmad , Natsir Mohammad
Published: January 2025

Plantation commodities have an important role in the country's foreign exchange earnings due to the high performance of its leading commodity exports. This study aims to analyze the trend in the volume and value of plantation commodity exports (palm oil, rubber, cocoa) in Indonesia during the period 2019-2023. The coverage area in this study is Indonesian data. The type of data used is secondary data of annual time series in the period 2019 to 2023. The main data sources were obtained from the Central Statistics Agency (BPS) and the Ministry of Agriculture. The data analysis used linear trend analysis with the ordinary least square method. The results of this study indicate that the trend in the volume of palm oil commodity exports in Indonesia during the period 2019-2023 has a downward trend of 562.17 million tons per year, while in the same period the trend in the value of palm oil exports has an increasing value of up to 2,586.2 million US$ per year. The trend of rubber commodity export volume in Indonesia during that period has a tendency to decrease by 223.18 million tons per year, while the trend of rubber export value has a tendency to decrease to reach 224.49 million US$ per year. The trend of cocoa commodity export volume in Indonesia during the last five years has a tendency to decrease by 19.17 million tons per year, while the trend of cocoa export value has a tendency to decrease to reach 8.12 million US$ per year.
Analisis Kelayakan Finansial dan Strategi Pengembangan Usaha Peternakan Itik Mojosari
Authors: Amam Amam , Ramadhan Alvian Madafiqiya
Published: January 2025

Duck farming is one of the main livelihoods for some people in Modopuro Village, Mojosari Sub-District, Mojokerto District, so that the area has become one of the centers for developing Mojosari ducks. This study aims to analyze the financial feasibility and formulate a strategy for developing Mojosari duck farming. This study uses a descriptive and quantitative descriptive analysis approach. Data collection was carried out using observation methods, Focus Group Discussions (FGD), interviews, and filling out questionnaires. This study involved 1 (one) group of farmers consisting of 50 respondents. Data analysis used quantitative descriptive in the form of financial feasibility and IFAS, EFAS, and SWOT analysis. The results of the study showed that the Mojosari duck farming business had a B/C Ratio value of 0.43 and an R/C Ratio value of 1.25. The results of the IFAS-EFAS analysis showed an internal factor value of 3.02 and an external factor value of 3.15, indicating that the Mojosari duck farming business was in quadrant I, namely growth and development strategies. The recommended alternative strategies are product diversification, duck eggs into salted eggs to increase added value and competitiveness of farmer groups, utilizing family support and technology to market salted eggs, expanding marketing networks, establishing cooperatives and farmer corporations to increase farmer bargaining power.
Faktor yang Memengaruhi Persepsi Petani dalam Usahatani Kapulaga di Kecamatan Cilongok Kabupaten Banyumas
Authors: Nurdiani Ulfah , Karim Akhmad Rizqul , Mandamdari Alpha Nadeira , Sukmaya Syahrul Ganda
Published: January 2025

The increase in production and productivity of cardamom plants is a continuous effort by the Banyumas Regency Government. One of the efforts made is through a cardamom development program. Farmers' perceptions  of  cardamom  farming  are  a  crucial  factor  in  the  development  of  cardamom,  as  they  can influence the decision to engage in farming. This research aims to: (1) understand farmers' perceptions of cardamom farming, and (2) identify the factors influencing farmers' perceptions of cardamom farming. The study was conducted in July 2024 in Sambirata Village, Cilongok District. A total of 40 cardamom farmers were selected as research respondents. Primary data were collected through observations and interviews using a prepared questionnaire. Secondary data were gathered from various sources, literature, and records related to the research. The data were processed and analyzed descriptively to determine the level of perception and using multiple linear regression analysis to identify the factors influencing perceptions. The results of the research indicate that the overall level of farmers' perceptions of cardamom farming in Banyumas Regency falls into the good category, with a percentage of 77.71%. Factors influencing farmers' perceptions of cardamom farming include age, formal education, number of family dependents, farming experience, and institutional support. Meanwhile, perceptions are not influenced by non-formal education and income (Sig value <0.05).
Measuring the Competitiveness of Ciamis Regency Using Location Quotient and Shift Share Analysis
Authors: Amalia Lidya Nur
Published: January 2025

Increased economic growth shows that economic activity in a region is running well. The economic capabilities of each region are different, so this research was conducted with the aim of analyzing the competitiveness of the economic sectors in Ciamis Regency. This research uses secondary data obtained from the Central Statistics Agency for West Java Province and Ciamis Regency in 2020-2023. The analysis used in this research is location quotient analysis and shift share analysis. The research results of statistic location quotient and dynamic location quotient combination shows that the sectors included in the basic and prospective sectors are the agriculture, forestry, and fisheries sectors, construction, education services, warehousing transportation, provision of accommodation and food and beverages, and the information and communication sector, while the results of the shift share analysis show that the sectors that are growing rapidly and have competitiveness are the real estate sector, corporate services, health services and social activities, and other services.
Granuloma anular profundo
Authors: Lemos Ana Cláudia Cavalcante Espósito , Ciambelli Isabella Andrade , Nozawa Marina Issa
Published: January 2025

Objetivo: Relatar o caso raro de um paciente do sexo masculino com granuloma anular profundo afetando a região proximal da coxa. Detalhamento do caso: O granuloma anular é uma doença cutânea inflamatória benigna de causa desconhecida que apresenta lesões em formato anular. Essa doença apresenta algumas variantes, incluindo o granuloma anular profundo, que teve seu primeiro relato em 1971. Relatamos o caso de paciente do sexo masculino, diabético, com mácula eritematosa, ovoide, localizada na raiz da coxa esquerda, cujo diagnóstico confirmou a suspeita clínica de granuloma anular profundo. As lesões clássicas de granuloma anular profundo são nódulos subcutâneos indolores, endurecidos e de limites bem definidos. Embora a remissão espontânea seja comum em parte dos casos, lesões múltiplas em áreas expostas podem exigir tratamento medicamentoso. A excisão cirúrgica pode ser considerada em nodulações volumosas ou com prejuízo estético. Considerações finais: Há uma necessidade de ampliação do conhecimento sobre os subtipos do granuloma anular para direcionar a investigação clínica de casos suspeitos, estabelecer critérios diagnósticos, determinar estratégias terapêuticas efetivas e seguras.
Terapêuticas de enfermagem para pessoas com limitações decorrentes da hanseníase
Authors: Manda Ananda Moraes , Fernandes Márcia Astrês , Costa Rayla Maria Pontes Guimarães
Published: January 2025

Objetivo: Aplicar os cuidados de enfermagem a pessoas com incapacidades residuais decorrentes da hanseníase. Métodos: Trata-se de uma pesquisa-cuidado de abordagem qualitativa, a qual emprega a Teoria de Transições como base teórica. A coleta de dados ocorreu em um hospital do estado do Piauí, por meio de um instrumento com três perguntas de caráter aberto. O registro das informações se deu por meio de gravações realizadas em aparelho celular. O estudo foi aprovado por Comitê de Ética em Pesquisa. Resultados: Ao todo, foram entrevistadas dezessete pessoas. A presença de incapacidades diminui a habilidade de realizar tarefas, afetando a qualidade de vida e gerando desigualdades socioeconômicas. Ademais, o afastamento familiar e a visão autodepreciativa causam efeitos psicológicos marcantes, exacerbando os desafios associados à doença. A incapacidade de trabalhar tem impacto significativo na saúde mental, pois, além do sustento financeiro, constitui uma parte fundamental da identidade. Outrossim, o autocuidado é imprescindível para manter a qualidade de vida. Conclusão: As terapêuticas de enfermagem realizadas apontam para a ampla gama de necessidades físicas e mentais dos pesquisados-cuidados. É prudente identificar a hanseníase como uma condição que apresenta necessidades de ordem mental que devem ser adequadamente abordadas.
Análise epidemiológica de óbitos e internações por complicações associadas ao Diabetes Mellitus no Estado do Amapá
Authors: Pantoja Cintia do Socorro Matos , Carmo Weslley Lieverson Nogueira do , Costa Donato Farias da , Dantas Juliana de Oliveira , Pereira Katiane Andrade , Santos Doriane Nunes dos , Silva Janayna Almeida da , Lima Nilza de Vilhena , Ferreira Faye de Oliveira Maciel , Costa Kalliny Verena Almeida da
Published: January 2025

Objetivo: Apresentar uma análise epidemiológica de óbitos e internações por complicações associadas ao Diabetes Mellitus no Estado do Amapá no período de 2014 a 2023. Métodos: Trata-se de um estudo epidemiológico, transversal e descritivo, baseado em dados secundários do Departamento de Informática do Sistema Único de Saúde Datasus via Sistema de Informação de Mortalidade (SIM), Sistema de Internação Hospitalar (SIH) e Sistema de Informação Hospitalar Descentralizado (SIHD). Resultados: No período do estudo ocorreram no Estado do Amapá um total de 1.765 óbitos por Diabetes Mellitus, com predomínio no sexo masculino (51,7%) e em indivíduos com 60 a 69 anos (26,2%). Observou-se um número maior de mortes em indivíduos com nenhuma ou pouca escolaridade. Sobre as internações, verificou-se que ocorreram no período um total 3.238, além de 310 procedimentos cirúrgicos de amputação com destaque para o procedimento de amputação/desarticulação de membros inferiores e amputação/desarticulação de dedo. Houveram 2.397 internações hospitalares por Insuficiência Renal e 231 internações por Descolamento e Defeitos na Retina. Conclusão: Conclui-se que o Estado do Amapá apesar de possuir uma rede assistencial em crescente estruturação, ainda apresenta fragilidades na oferta e no acesso aos serviços direcionados aos usuários com Diabetes Mellitus.
O manejo clínico do paciente queimado na UTI
Authors: Pereira Geovane Souza , Filho Wilson de Oliveira
Published: January 2025

Este estudo aborda o manejo clínico de pacientes queimados em Unidades de Terapia Intensiva (UTIs), com o objetivo de identificar lacunas e propor estratégias de intervenção para melhorar o atendimento desses pacientes. Objetivo: a pesquisa visa explorar métodos eficazes de controle de infecção, manejo de fluidos e personalização do uso de antimicrobianos, com foco na redução de complicações e na mortalidade associada a queimaduras graves. Revisão bibliográfica: pacientes com queimaduras extensas estão mais suscetíveis a infecções, como a sepse, devido à perda da barreira cutânea. Estudos demonstram que estratégias rigorosas de controle de infecção e o uso criterioso de antimicrobianos, incluindo infusões estendidas, são essenciais para prevenir resistência bacteriana. O manejo de fluidos, principalmente nas primeiras 48 horas, é crucial para estabilização hemodinâmica e prevenção de sobrecarga hídrica. A abordagem multidisciplinar, que inclui médicos, enfermeiros, fisioterapeutas e nutricionistas, é fundamental para atender às complexas necessidades desses pacientes. Considerações finais: o manejo em UTI é complexo e requer intervenções baseadas em evidências, mas ainda há desafios a serem superados, como a padronização de protocolos e o acesso limitado a tecnologias avançadas. O estudo sugere que mais pesquisas são necessárias para otimizar práticas clínicas e melhorar os desfechos, reforçando a importância de uma abordagem integrada e personalizada.
Catalytically Competent Nickel(I)-Isocyanide Compounds
Authors: Chakrabarti Sagnik , Chae Ju Byeong , Knecht Katy , Cedron Nicholas , Mirica Liviu
Published: January 2025

Nickel-catalyzed cross-coupling reactions have emerged as a powerful strategy to construct complex molecules. A salient feature of Ni catalysts is their ability to engage in one-electron chemistry involving paramagnetic Ni(I) and Ni(III) intermediates, which has led to development of cross-coupling reactions involving alkyl substrates; however, such reactions generally employ Ni(II) or Ni(0) complexes as pre-catalysts. Although highly desirable, well-defined and catalytically competent Ni(I) sources with exchangeable ancillary ligands are lacking. Here we report the synthesis, characterization, and catalytic activity of a family of thermally stable dinuclear Ni(I) complexes supported by commercially available isocyanides as a general solution to this problem. Two classes of Ni(I) isocyanide complexes showing high thermal and solid-state stability have been developed – coordinatively saturated homoleptic compounds and coordinatively unsaturated Ni(I)-halide compounds. The Ni(I) compounds exhibit rapid ligand substitution and are efficient catalysts in Kumada, Suzuki-Miyaura, and Buchwald-Hartwig cross-coupling reactions, suggesting their potential use as either Ni(I) catalysts or pre-catalysts. In addition, bromide-selective functionalization of polyhalogenated arenes with Grignard reagents was achieved for the first time under nickel catalysis. Finally, spectroscopic and mechanistic studies were performed to establish the general use of simple isocyanide ligands as spectator ligands for cross-coupling reactions, representing an untapped chemical space for new reaction discovery.
Adaptive Traffic Light Signal Control Using Fuzzy Logic Based on Real-Time Vehicle Detection from Video Surveillance
Authors: Fahrunnisa Zulfa , Rahmadwati Rahmadwati , Setyawan Raden Arief
Published: January 2025

Intersections often become the focal points of congestion due to poor traffic signal management, reduced productivity, increased travel duration, gas emissions, and fuel consumption. Existing traffic light systems maintained constant signal duration regardless of traffic situations, resulting in green signals for lanes with no vehicle queues that increased waiting times in other lanes. Therefore, a real-time traffic signal optimization system using Fuzzy Logic control, utilizing vehicle queue and flow rate real-time data from video surveillance, is needed. This research used recorded video from surveillance cameras in Banten Province, Indonesia, during daylight conditions. Vehicle queues and flow rate data were used as parameters to determine traffic light signals. The YOLO algorithm obtained these parameter values, then served them as inputs for the Fuzzy Logic system to determine signal duration. The accuracy of the traffic situation estimation system fluctuated within a range of 40% to 100%. Simulation results showed an improvement of approximately 18% by evaluating the total number of vehicles that exited the queue and reduced vehicle waiting time by about 21% compared to the existing system on intersection efficiency. Consequently, the proposed system can reduce pollution and fuel consumption, contributing to urban sustainability and public well-being enhancement. Despite the improvements over the previous systems, the accuracy of the vehicle detection system may vary with traffic density based on the extent of occlusions present, which is an area that needs further refinement. This research's contributions include utilizing real-time video footage from surveillance cameras above traffic lights to obtain real traffic conditions and identify potential errors such as occlusion of overlapping vehicle due to very congested roads. Another contribution is the adjustment of the Fuzzy membership function based on the vehicle detection system's ability to ensure precise determination of green signal duration, even when the input data contains errors.
Measuring on Physiological Parameters and Its Applications: A Review
Authors: Bayani Hazzie Zati , Basari Basari
Published: January 2025

In providing patient care, it is essential to know the patient’s status to avoid incorrect treatment. Patient status includes various physiological parameters such as heart rate, blood oxygen saturation, blood pressure, body temperature, and respiratory rate. Measuring each physiological parameter requires data collection and analysis. Data acquisition in measuring physiological parameters can be categorized into contact methods, non-contact methods, invasive methods, and non-invasive methods. After data collection, it is crucial to analyze the collected data to ensure accurate and reliable measurements. This analysis can utilize RF signals, PPG signals, machine learning, and deep learning, depending on the specific needs and objectives of the study. This paper aims to identify studies based on types of data acquisition and analysis methods developed. These studies will be reviewed to understand the limitations of the data acquisition methods and analysis methods used. Additionally, this paper will discuss and classify the types of applications developed in these studies over the last five years, focusing on functionality, device design, and body-to-device connectivity. This review will identify whether the studies developed wearable or portable, wired or wireless devices, and their purpose whether for diagnosis, monitoring, or both. This review will also highlight the limitations and provide a brief perspective on future developments.
A Hybrid CNN-SVR for Airfoil Aerodynamic Coefficient Prediction
Authors: Sunarno Sunarno , Arymurthy Aniati Murni
Published: January 2025

The prediction of aerodynamic coefficients on airfoils using machine learning is increasingly popular due to its efficiency in time and cost. Research typically focuses on a single image type without comparing various types and output quantities (single or multi-output). Although convolutional neural networks (CNN) are widely used, their final layer is often suboptimal as a linear operator, and feature extraction results contain many parameters that can still be trained. Support vector regression (SVR) with kernel functions effectively reduces common errors in feature vectors. We propose a hybrid method, AeroCNNSVR, combining CNN as a feature extractor and SVR as a regressor to predict aerodynamic coefficients on airfoils. This study focuses on the shape and position of airfoils according to the angle of attack (AoA) without considering flow conditions. Using 14533 aerodynamic coefficients from 563 airfoil types, we created a dataset of grayscale and RGB airfoil images. Results show the proposed method with grayscale images performs better because combining SVR strengthens the predictive model, while grayscale images accurately represent the airfoil's shape and position. AeroCNNSVR achieves lower RMSE values for Cl (0.101522), Cd (0.016450), and Cm (0.129661) compared to the CNN model’s Cl (0.112493), Cd (0.019060), and Cm (0.130041). Additionally, AeroCNNSVR's R² values for Cl (0.976071), Cd (0.928700), and Cm (0.860574) surpass those of the CNN model (Cl 0.970620, Cd 0.904282, Cm 0.816355). This research contributes by 1) proposing an alternative besides CFD for predicting and identifying trends in aerodynamic coefficients of airfoils in a much shorter time during the design stage; 2) offering wind tunnel practitioners for early detection of configuration errors; 3) providing an overview of the aerodynamic characteristics of the airfoil under test, including the angle at which stall conditions occur.
Exploring Energy Data through Clustering: A Hyperparameter Approach to Mapping Indonesia's Primary Energy Supply
Authors: Windarto Agus Perdana , Rosanti Yerika Puspa , Mesran Mesran
Published: January 2025

The rapid economic growth and population development in Indonesia have significantly increased the demand for energy, presenting complex challenges in managing the primary energy supply due to geographical variability and dispersed natural resources. This study addresses these challenges by applying clustering techniques with a hyperparameter approach to explore and map Indonesia's primary energy supply. The research contributes to the field by offering an effective method for analyzing energy data patterns and optimizing energy management. Secondary data on energy production, consumption, and distribution from reliable sources such as the Ministry of Energy and Mineral Resources were collected and analyzed. Various clustering algorithms, including K-Means, Fast K-Means, X-Means, and K-Medoids, were applied to identify energy supply patterns across different regions. The Davies-Bouldin Index was used to evaluate the effectiveness of the clustering algorithms. The results indicate that distance measures such as Euclidean Distance and Chebychev Distance consistently show excellent clustering performance. The study found that the choice of distance measure significantly impacts the clustering quality. The insights gained from this analysis provide valuable information for stakeholders involved in energy planning and policy-making, enhancing the efficiency and sustainability of energy management in Indonesia. This research establishes a foundation for further detailed and holistic energy data analysis, supporting better decision-making in energy planning and development.
From Text to Truth: Leveraging IndoBERT and Machine Learning Models for Hoax Detection in Indonesian News
Authors: Ridho Muhammad Yusuf , Yulianti Evi
Published: January 2025

In the era of technology and information exchange online content being deceitful poses a serious threat to public trust and social harmony on a global scale. Detective mechanisms to identify content are essential for safeguard the populace effectively. This study is dedicated to creating a machine learning system that can automatically spot deceptive content in Indonesian language by utilizing IndoBERT. A model specifically tailored for the intricacies of the Indonesian language. IndoBERT was selected due to its capacity to grasp the linguistic nuances present, in Indonesian text which are often challenging for other models built upon the BERT framework. The key focus of this study lies in conducting an assessment of the IndoBERT model in relation to other approaches used in past research for identifying fake news like CNN LSTM and various classification models such as Logistic Regression and Naïve Bayes among others. To address the issue of imbalanced data between valid labels in fake news detection tasks we employed the SMOTE oversampling technique, for data augmentation and balancing purposes. The dataset employed consists of Indonesian language news articles publicly available and categorized as either hoax or valid following assessment by three judges voting system. IndoBERT Large demonstrated performance by achieving an accuracy rate of 98% outperform the original datasets 92% when tested on the oversampled dataset. Utilizing the SMOTE oversampling technique aided in data balance and enhancing the models performance. These outcomes highlight IndoBERTs capabilities in detecting fake news and pave the way for its potential integration, into real world scenarios.
RETRACTED: LSTM Network Hyperparameter Optimization for Stock Price Prediction Using the Optuna Framework
Authors: Ismanto Edi , Vitriani Vitriani
Published: January 2025

This article has been retracted by the publisher.This article has been retracted because of misconduct and plagiarism. The document and its content have been removed from the Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, and reasonable effort should be made to remove all references to this article.
Measuring and Mitigating Bias in Bank Customers Data with XGBoost, LightGBM, and Random Forest Algorithm
Authors: Wardani Berliana Shafa , Sa'adah Siti , Nurjanah Dade
Published: January 2025

To retain its clients, the Portuguese banking institution conducts direct marketing in the form of phone calls to conduct marketing so that clients subscribe to the bank's term deposit. The data used is named bank customers data. Important client features are considered in the acquisition process. This research was conducted with bank customers data from Portuguese banking institution which implements agent acquisition. With a large number of data on bank customers, it can lead to a diversity of data which allows the results of agent acquisition to be unfair. With this, a bias detection and mitigation algorithm are needed to achieve fairness. AI fairness 360 (AIF 360) is a toolkit that provided a bias detection and mitigation algorithm. The bias mitigation algorithm in AIF 360 is divided into three processes, namely reweighing and learning fair representation at the pre-processing stage, prejudice remover and adversarial debasing at the in-processing stage, and equalized odds and reject option classification at the post-processing stage. The output of this study is a comparison of the calculation of bias detection with disparate impact (DI) and statistical parity differences (SPD) before and after mitigation. The adversarial debiasing algorithm performed best than others with 0.943 of DI, -0.004 of SPD, and also increased the 0.015% of the AUC score. Conducting this research can help the prediction of client’s term deposits in Portuguese banking institution more fairly.
Implementation Of Fuzzy Logic Control Method On Chilli Cultivation Technology Based Smart Drip Irrigation System
Authors: Umam Faikul , Dafid Ach. , Cahyani Andharini Dwi
Published: January 2025

Herbal chili plants are very beneficial from a health and economic perspective. In the process of cultivating herbal chili plants, there are still many problems that need to be faced, including unfavorable climatic conditions and less intensive cultivation processes. Based on this description, to overcome these problems, technological innovation is needed that can be implemented directly in the cultivation of herbal chili plants. This situation can be achieved by applying a drip irrigation system. This system makes it possible to control the water supply requirements of chili herbs efficiently. System stability can run optimally when combined with a method that can make a decision quickly. Fuzzy logic is used in research because it is able to provide appropriate decisions on temperature and soil moisture data in chili herbs. This research is expected to overcome the problem of water shortages in barren areas. And increase people's interest in the cultivation of herbal chili plants. This research is also an overview and framework for developing the agricultural sector in Madura in the technology field. The results of this study indicate that technology can be designed and integrated with the fuzzy logic control method, then the results of testing the tool also show a 99,98% success rate. This is shown by the results of testing in the morning, afternoon, and evening. The contribution of this study is the control of temperature and humidity which in other studies only focused on the soil, not on the temperature and humidity of the air around the herbal chili plants with a system that has been controlled using the fuzzy method.
Interactive Solar System Learning Media Using the Raspberry Pi 3B
Authors: Wicaksono Mochamad Fajar , Dwi Rahmatya Myrna , Syahrul Syahrul , Nurhayati Sri
Published: January 2025

The current learning solar system process uses solar system props. This research aimed to create an interactive solar system learning tool for elementary school students. With this tool, students can learn about the planets in the solar system in learning mode. In addition, there is a question mode to test students' knowledge abilities. This research's contribution was to provide an engaging way for sixth-grade elementary school students to learn about and recognize the planets in the solar system. The method used in this research is the experimental method. The primary part of this system is the Raspberry Pi. In this tool, there are two modes: learning mode and question mode. The learning mode involves the input button for eclipse mode and the LDR sensor as a trigger for activating the DC motor and reading solar system material using gTTS. The question mode involves a question bank on the web application, gTTS for reading questions, and speech recognition for processing answers given by students.   The teacher can add, change, or delete questions and learning materials through the web application. The test on the learning tool is 100% successful. In learning mode, the device can read input from the LDR sensor and provide sound output, and in question mode, the device will ask questions, receive answers in voice form and then process the response based on program scenarios. On the other side, Based on UAT results from 20 sixth-grade elementary school student,  95.14% of student agreed that solar system learning media and quiz features make the learning process more engaging, easy to use, help students understand solar system material, and can be used as a learning tool.
Early Identification of Alzheimer’s Disease Using Medical Imaging: A Review From a Machine Learning Approach Perspective
Authors: N Naveen , G Cholli Nagaraj
Published: January 2025

Alzheimer’s disease (AD) is the leading cause of dementia in aged adults, affecting up to 70% of the dementia patients, and posing a serious public health hazard in the twenty-first century. AD is a progressive, irreversible and neuro-degenerative disease with a long pre-clinical period, affecting brain cells leading to memory loss, misperception, learning problems, and improper decisions. Given its significance, presently no treatment options are available, although disease advancement can be retarded through medication. Unfortunately, AD is diagnosed at a very later stage, after irreversible damages to the brain cells have occurred, when there is no scope to prevent further cognitive decline. The use of non-invasive neuroimaging procedures capable of detecting AD at preliminary stages is crucial for providing treatment retarding disease progression, and has stood as a promising area of research. We conducted a comprehensive assessment of papers employing machine learning to predict AD using neuroimaging data. Most of the studies employed brain images from Alzheimer’s disease neuroimaging initiative (ADNI) dataset, consisting of magnetic resonance image (MRI) and positron emission tomography (PET) images. The most widely used method, the support vector machine (SVM), has a mean accuracy of 75.4 percent, whereas convolutional neural networks(CNN) have a mean accuracy of 78.5 percent. Better classification accuracy has been achieved by combining MRI and PET, rather using single neuroimaging technique. Overall, more complicated models, like deep learning, paired with multimodal and multidimensional data (neuroimaging, cognitive, clinical, behavioral and genetic) produced superlative results. However, promising results have been achieved, still there is a room for performance improvement of the proposed methods, providing assistance to healthcare professionals and clinicians