bluuebunny/crossref_metadata_2025 huggingface dataset:
Changes in the importance and performance of low-sodium management among childcare center cooks in Yongin, South Korea, after salinometer support programs: a descriptive study
Authors: Min Jiwoo , Lee Youngmi , Chang Yunhee , Lee Yujin
Published: September 2024

Objectives: This study aimed to evaluate the importance and performance of sodium reduction practices among childcare center cooks in the Yongin area before and after a 3-month salinometer support program. Methods: In total, 313 cooks employed in childcare centers in Yongin were surveyed before and after participating in a salinometer support program. The survey included questions on general information, sodium-related dietary habits, and perceived importance and performance levels of sodium reduction approaches in the purchasing, cooking, and serving areas. The centers were divided into childcare centers registered as group-feeding facilities (FS group, n = 68) and those not registered as such (non-FS group, n = 245). The differences between the two groups were analyzed. Results: The overall importance levels increased significantly after the program in both the FS-group (P < 0.001) and non-FS group (P = 0.005). The overall performance levels also increased significantly in both groups (P < 0.001 for all). Consequently, the significant difference between the importance and performance levels disappeared in both groups after the program. However, unlike the FS group, which showed no significant differences between the importance and performance levels after the program in all three areas, the non-FS group still demonstrated lower performance levels than importance levels in the purchasing (P = 0.011) and serving (P = 0.034) areas after the program. Conclusions: The use of salinometers significantly enhanced the performance and importance of low-sodium management practices among cooks in childcare centers, especially in the FS group. The continuous monitoring of salinity measurements and tailored education specialized for the FS and non-FS groups are recommended.
Effects of a nutrition education program on metabolic syndrome risk factors in middleaged Korean adults: an intervention study
Authors: Kang Minji , Park Young-Hee , Kim Subeen , Tak Eunyoung , Baik Hyun Wook , Paik Hee Young , Joung Hyojee
Published: September 2024

Objectives: This study was conducted to evaluate the effects of a nutrition education program on metabolic syndrome in middle-aged Korean adults. Methods: A total of 411 Korean adults 30–59 years of age were allocated randomly into three groups: the nutrition education group for promoting Han-sik consumption (HG), the nutrition education group for eating balanced diet (EG), and the control group (CG). The HG and EG received four face-to-face nutrition education sessions over 16 weeks to improve nutritional problems based on the individual’ usual diet. Effectiveness of the program was evaluated with the differences of self-reported dietary behaviors, dietary intakes, anthropometric measurements and biochemical indices between the baseline and the end of the nutrition education program. The changes within groups were analyzed using paired t-test and McNemar test and effectiveness among three groups was analyzed by repeated analysis of variance. Results: After the nutrition education, the percentages of participants who achieved the recommended food group consumption in the Korean Food Guidance Systems significantly increased in HG (P = 0.022). Body weight (P = 0.007), body mass index (P = 0.002), and triglycerides (P = 0.002) significantly decreased in HG. Waist circumference and diastolic blood pressure decreased in all three groups (P < 0.05). Conclusions: This study found that tailored nutrition education program for middle aged Korean adults showed beneficial effects on improving dietary behaviors and metabolic syndrome risk factors. Further studies are needed to assess the long-term effects of the nutrition education programs on metabolic syndrome risks.
Predição de Qualidade de Vídeo em Serviços de Streaming utilizando Redes 5G
Authors: Pimenta Ivo A. , Souza Michael S. , Aquino Carlos A. , Portela Ariel L. , Gomes Rafael L.
Published: September 2024

O surgimento das redes 5G provocou uma transformação significativa na sociedade contemporânea, evidenciando um notável crescimento, especialmente no setor de transmissão de vídeos em tempo real, mas também nos serviços de Streaming. Contudo, os usuários ainda sofrem com problemas de qualidade de vídeo inadequada, principalmente quando as características de transmissão das Redes 5G variam. Dentro deste contexto, este artigo apresenta um modelo de Inteligência Artificial (IA) para a predição da qualidade de vídeo entregue ao usuário final. O modelo proposto considera tanto cenários estáticos quanto cenários dinâmicos em dispositivos veiculares, reconhecendo a importância de compreender a entrega de conteúdo de acordo com a situação do usuário. A proposta deste trabalho utiliza dados de medições de Redes 5G, possibilitando a otimização da experiência do usuário em ambientes 5G dinâmicos. Os resultados mostram que a proposta é capaz de contribuir para o aprimoramento contínuo da entrega de qualidade de vídeo em redes móveis.
Treine Menos, Preveja Mais: plugin de Aprendizado Federado habilita alta eficiência em dados heterogêneos
Authors: Capanema Cláudio G. S. , Costa Joahannes B. D. da , Silva Fabrício A. , Villas Leandro A. , Loureiro Antonio A. F.
Published: September 2024

O aprendizado federado (FL) surgiu como uma técnica onde diversos dispositivos (também chamados de clientes) podem aprender de forma colaborativa a partir da orquestração de um servidor central, proporcionando escalabilidade, privacidade e baixo custo de comunicação. A maioria das pesquisas sobre este tema apresenta propostas para a etapa do treinamento de modelos no aprendizado federado, para endereçar diversos problemas como a heterogeneidade estatística de dados, o que muitas vezes representa aumento de custos (e.g., computacional, armazenamento e comunicação). No entanto, recentemente foi proposta a solução FedPredict, um plugin que opera na etapa de predição do aprendizado federado, que quando adicionado pode melhorar significativamente o desempenho de diversas soluções tradicionais em cenários de heterogeneidade de dados, sem requerer qualquer modificação na sua estrutura original ou adição de treinamento. Nesta direção, este trabalho apresenta experimentos sobre uma nova descoberta: quanto mais heterogêneos são os dados, menos treinamento é necessário quando o FedPredict é adicionado, tornando o processo de aprendizado altamente eficiente.
Personalized Route Selection Methods in an Urban Computing Scenario
Authors: Brito Matheus , Cerqueira Eduardo , Rosário Denis
Published: September 2024

With population growth in urban areas, the more extensive city infrastructure faces several problems affecting the population’s health and quality of life. In this context, smart urban mobility solutions perform a ubiquitous way of sensing the population mobility and the local mobility context, such as criminality, accidents, and air quality near the road infrastructure, complementing the city mobility. Likewise, Location-based Social Networks (LBSN) dispose of users’ geolocated data, allowing the identification of mobility patterns and alternative modal transport recommendations. This work develops two pollutionaware route selection approaches, a multi-modal hybrid routes method and a multi-criteria personalized route selection method, for urban citizens’ mobility flow improvement, attending to the urban mobility overload and deficiency. The hybrid multi-modal solution surpasses the single-modal, offering less expensive and less polluted trip options. Considering all calculated route possibilities, the multi-criteria personalized profile solution outperforms the single-criterion choice in the same context.
Tecnologia Digital como Suporte para Melhoria do Processo de Produção de Açúcar de Coco
Authors: Yamaba Geovani R. , Carvalho Tereza Cristina M. B.
Published: September 2024

Este trabalho apresenta um sistema de coleta de dados e monitoramento da qualidade da extração de seiva da flor do coqueiro para avaliar seu processo de fermentação e auxiliar na produção em escala do açúcar de coco no Brasil. Tal sistema constitui-se de sensores de pH, temperatura, umidade e luminosidade que, via tecnologia de comunicação LoRa e microcontroladores da classe ESP32, permite a conexão remota a um servidor web, onde são feitos o armazenamento e a visualização dos dados em tempo real. Testes e análises, baseados em ajustes de funções sigmóide às curvas de fermentação obtidas, permitiram verificar padrões de comportamento dos parâmetros estudados e direcionar otimizações de produção.
Developing Algorithms for the Internet of Flying Things Through Environments With Varying Degrees of Realism
Authors: Lamenza Thiago , Kamysek Josef , Souza Bruno José Olivieri de , Endler Markus
Published: September 2024

Developing for the internet of flying things is a complicated task. The fragility and cost of the equipment required to deploy in the field motivates the use of simulation software for prototyping and developing robust applications. This work proposes GrADyS-SIM NextGen as a solution that enables development on a single programming language and toolset over multiple environments with varying levels of realism. Finally, we illustrate the usefulness of this approach with a toy problem that makes use of the simulation framework.
f-Sim EON: Avaliação de Desempenho em Redes Ópticas Elásticas Sob Falhas em Cascata
Authors: Santos Eonassis O. , Richa Carlos S. G. , Santos Alex S. , Santi Juliana de , Rocha Antonio A. A. , Figueiredo Gustavo B.
Published: September 2024

O artigo apresenta o simulador f-Sim EON, desenvolvido para investigar os impactos das falhas em cascata em Redes Ópticas Elásticas (EON). O simulador, implementado em Python 3 com a biblioteca SimPy, permite a modelagem de diversos cenários de falhas e avaliação de estratégias de mitigação de riscos. Composto por módulos, o f-Sim EON oferece uma plataforma flexível para análise e otimização das redes EON em ambientes dinâmicos, promovendo avanços na compreensão e resiliência das redes EON.
Towards Time-Sensitive Networking Traffic Generation with PIPO-TG
Authors: Costa Filipo Gabert , Vogt Francisco Germano , Rodriguez Fabricio , Luizelli Marcelo , Rothenberg Christian Esteve
Published: September 2024

Realistic traffic simulation is essential for evaluating network performance, security, and efficiency. However, modern network environments demand testers with high performance, scalability, precision, flexibility, and costeffectiveness, which current solutions struggle to achieve simultaneously. PIPO-TG has been proposed to overcome these constraints as a Tofino-based traffic generator tailored for high-performance parametrizable traffic experiments. In this work, we extend PIPO-TG capabilities to support an even more challenging scenario, a delay distribution on a nanosecond scale. We reproduce timesensitive networking (TSN) delay traces measured in a commercial TSN bridge. We demonstrate the flexibility, accuracy, and performance of PIPO-TG, making it an ideal tool for network testing in network research and experimentation.
Mapeamento dos Principais Ataques e Contramedidas de Segurança em Redes 6G Habilitadas por IA
Authors: Cruz Antonia Raiane S. Araujo , Silva Cleitianne O. , Lima Joao C. da C. de , Andrade Rossana M. C. , Rodrigues Emanuel B.
Published: September 2024

Com o avanço tecnológico e a integração crescente da Inteligência Artificial (IA) em diversos setores, compreender e mitigar os riscos associados à sua implementação torna-se crucial, especialmente diante da inovação proposta pela sexta geração de comunicações móveis (6G). Este estudo apresenta um mapeamento bibliográfico para identificar e analisar as principais vulnerabilidades descritas na literatura atual sobre IA e 6G. Além disso, investiga-se as contramedidas propostas para enfrentar tais vulnerabilidades, visando assegurar a segurança, confiabilidade e privacidade dos sistemas de IA no contexto do 6G.
Utilizando Anycast para Filtragem de Pacotes para Funções de Rede Virtualizadas em Roteadores de Alto Desempenho
Authors: Flauzino José , Lyra Christian , Duarte Jr. Elias P.
Published: September 2024

Os pontos de presença (PoPs) da Internet atualmente são baseados em roteadores que processam um grande volume de dados, da ordem de centenas de gigabits por segundo. Neste contexto, torna-se um desafio fazer a filtragem e encaminhamento de pacotes individuais para uma Função de Rede Virtualizada (VNF Virtualized Network Function). No presente trabalho propomos uma estratégia que combina roteamento anycast com a classificação de pacotes para resolver o problema. Foi implementado um estudo de caso com uma VNF do tipo forwarder na rede de alto desempenho do PoP-PR da RNP. O forwarder encaminha pacotes para um servidor AWS remoto que compartilha o endereço anycast. Resultados demonstram a viabilidade da proposta, tendo surpreendido pelo baixo overhead imposto pela solução.
Indo além das simulações com o Serviço de Testbeds: Ambientes reais para Experimentação Científica em TICs
Authors: Pedrosa Elenice , Martins Janssen , Sousa Fiterlinge , Mondin Leandro , Dias Gustavo
Published: September 2024

Uma infraestrutura exclusiva destinada à experimentação é frequentemente requisitada no cenário científico. A demanda por alto desempenho computacional em um ambiente resiliente a falhas e erros humanos está entre os requisitos mais solicitados por cientistas e pesquisadores. Como resposta a essa demanda, o Serviço de Testbeds da RNP oferece uma plataforma dedicada à experimentação e inovação em tecnologias de rede e computação. Este serviço viabiliza uma infraestrutura flexível e escalável para experimentação em diversas áreas, abrangendo virtualização, computação em nuvem, SDN, blockchain, segurança cibernética, entre outros. Este trabalho visa detalhar a operação do serviço, abordando suas ofertas e os recursos que viabilizam sua prestação.
Sk-Iterative: Um Algoritmo Guloso para Escalonamento Eficiente em Redes Sem Fio Densas sob o Modelo SINR
Authors: Bravos Chrystopher N. , Camargo Fábio Engel de , Assis Flávio , Duarte Jr. Elias P.
Published: September 2024

As redes sem fio, incluindo redes celulares e para Internet das Coisas, se tornaram infraestruturas críticas. Ao mesmo tempo, é possível perceber uma tendência de aumento da densidade dos dispositivos. O modelo Signal-to-Interference-plus-Noise Ratio (SINR) é bastante atraente, por permitir o chamado reuso espacial: transmissões simultâneas de múltiplos dispositivos na mesma área de cobertura. O modelo leva em conta as interferências cumulativas sofridas pelas transmissões concorrentes, para permitir que o escalonamento tenha o máximo de transmissões simultâneas. Como o problema do escalonamento em redes SINR é NP-difícil, o uso de heurísticas é essencial para resolvê-lo na prática. Este trabalho apresenta o algoritmo guloso Sk-Iterative para o escalonamento em redes SINR. O algoritmo escalona enlaces produzidos de acordo com a heurística conhecida como Down-to-Earth (DTE). O algoritmo foi implementado através de simulação. Resultados mostram sua eficiência em termos do tamanho dos escalonamentos produzidos, próximos do ótimo.
Eleição de Líder com o vCube para Sistemas Distribuídos Crash-Recovery no Modelo GST
Authors: Rodrigues Luiz A. , Freitas Allan , Duarte Jr. Elias P.
Published: September 2024

A eleição de líder é um dos problemas fundamentais de sistemas distribuídos, com um número enorme de aplicações. Neste artigo apresentamos um algoritmo hierárquico e autonômico para eleição de líder baseado na topologia virtual vCube. O vCube é redefinido com um detector de falhas para o modelo crash-recovery, considerando que os processos têm acesso a memória não volátil. O algoritmo elege como líder aquele processo correto entre os mais estáveis (que falharam/recuperaram menos vezes) que tem menor identificador. A correção do algoritmo é discutida, em termos das propriedades de precisão e acordo após um tempo. O algoritmo foi implementado com simulação e resultados comparando com a versão força-bruta demonstram sua escalabilidade.
Improving The Effectiveness of Mathematics Learning Through Artificial Intelligence: Literature Review
Authors: Maulida Laela , Nurossobah Pipit , Aura Billy Anggun , Nengsih Eka Dwi , Rasilah Rasilah
Published: September 2024

Industrial Revolution 4.0 has fundamentally transformed the educational landscape. Rapid advances in technology, especially artificial intelligence (AI), demand significant curriculum adaptations. Mathematics, as the foundation of science, is the main focus in efforts to integrate AI into the learning process. This research aims to examine in depth the effect of applying AI in mathematics learning on students' learning capacity. Through a comprehensive literature study referring to various scientific journals and Google Scholar articles, this research analyzes various aspects related to the application of AI in mathematics learning. Analysis includes mapping trends in AI implementation, evaluating the effectiveness of various AI approaches, identifying factors that influence successful implementation, and exploring the positive and negative impacts of AI on the learning process. The findings of this research show that the application of AI in mathematics learning has enormous potential to increase student learning motivation, personalize learning, and deepen understanding of concepts. However, research also identifies a number of challenges, such as gaps in technology access, the need for appropriate pedagogical development, and the potential for AI to replace teachers' roles. Based on these findings, this research concludes that integrating AI in mathematics learning requires careful planning and strong collaboration between educators, technology developers, and policymakers. The implications of this research include the importance of flexible curriculum development, continuous teacher training, and the provision of adequate technological infrastructure.
Dışavurumcu Portrede Benlik Gerçekliği ve İfadenin Soyutlamaya Dönük Parçalanışı
Authors: Bayraktar Sevtap , Batur Meral
Published: September 2024

20.Yüzyıl Batı Sanatında Dışavurumcu sanat akımının ortaya çıkışıyla birlikte öznenin iç dünyasına ait psikolojik ve ruhsal sorunların biçimsel bir ifadeye dönüşümü insanın farklı bir gerçekliğini açığa çıkarmıştır. Bu araştırmada, Dışavurumcu sanatın 20. yüzyılın başlarında ortaya çıkışını ve özelliklerini inceleyerek, insanın iç gerçekliklerini ve duygusal durumlarını ortaya çıkarmadaki rolüne odaklanmak amaçlanmaktadır. Bu araştırmada problem durumu, Dışavurumcu hareketin sanatsal ifadede yarattığı değişim nedir? olarak belirlenmiştir. Dışavurumcu hareket, toplumsal ayaklanma ve sanayileşmenin arka planında ortaya çıkmış ve sanatçıları bu değişikliklerin bireyler üzerindeki psikolojik etkileriyle mücadele etmeye yöneltmiştir. Bu araştırma, Dışavurumcu sanatçıların sanatları aracılığıyla bu zorluklarla nasıl yüzleştiklerini analiz etmeyi, geleneksel sanatsal formlardan ayrılmalarının ardındaki motivasyonları anlamaya çalışmayı amaçlamaktadır. Araştırmanın hedefi, bireylerin içsel psikolojik ve ruhsal gerçekliklerini tasvir etmede Dışavurumcu Sanatın dönüştürücü doğasını açıklayarak, sanatçıların kişisel ve toplumsal mücadeleleri aktarırken geleneksel estetik normlardan nasıl uzaklaştıklarını incelemek olmuştur. Araştırmada hedeflere ulaşmak için literatür tarama yönteminden yararlanılmıştır. Bu araştırmanın sonucunda, Dışavurumcu sanatın 20. yüzyılın başlarında bireylerin karşılaştığı psikolojik ve manevi zorluklara bir yanıt olarak ortaya çıktığı sonucuna varılmış olup; Dışavurumcu sanatçılar, eserleri aracılığıyla geleneksel ve estetik normlardan farklılaşarak insan varlığının iç gerçekleriyle yüzleşmeye ve tasvir etmeye çalışmışlardır.
Eyes-on-Trays
Authors: Homeyer Linda E
Published: September 2024

Sand therapy is a highly visual therapeutic intervention modality. The client uses miniature figures, sand, and perhaps water to create a scene in the tray. As most mental health practitioners are trained in verbal-dependent therapies, how does the new sand therapist make the shift to understanding client-created scenes in the tray? This article suggests that the fields of Visual Literacy (Debes, 1968) and Visual Thinking Strategies (Housen, 1983; Yenawine, 2013) can inform sand therapy educators, trainers, and supervisors in this vital area. Eyes-on-trays, an adaptation of Housen's eyes-on-canvas, is offered as a new byword for the importance of developing visual literacy in sand therapists.
Pemberian Layanan Tes Bakat dan Minat Karier (Analisis Artistik dan Sosial)
Authors: Wirastania Aniek , Lianawati Ayong , Hartanti Jahju , Sutijono Sutijono  , Munawaroh Allisa Qotrunnada
Published: September 2024

Aptitude test and career interest is one of the efforts carried out in the form of a series of tests and analysis in describing the cognitive abilities, character, talents, interests and personality of an individual in order to determine a particular major. This interest aptitude test is very helpful and has a significant influence on the success of an individual in determining and planning a future career. The problem faced by students today is the difficulty in directing their talents and career interests according to their abilities. Efforts to overcome the problems faced by individuals must be carried out effectively. The activity carried out is to carry out tests of student aptitude and career interest. This aptitude and career interest test was conducted on class XII students of Integrated Bilingual Middle School, Krian District, Sidoarjo Regency. The method of carrying out the activity of providing aptitude and career interest test services is carried out with the following stages, namely administration, analysis of the number of students taking the aptitude test and student career interest, administering the test, directing the results of the aptitude test and student career interest, as well as evaluating the implementation of the aptitude and interest test student career. Providing student aptitude and career interest test services can assist students in planning further studies at the next level of education according to their talents and interests.
Optimalisasi Peningkatan Komunikasi Lewat Program Training Untuk Usaha Mikro, Kecil, Dan Menengah (UMKM), Komunitas Kepemudaan Dan Mahasiswa
Authors: Nandaryani Damastutik  , Siti Aminah
Published: September 2024

Soft skills training is a program designed to improve and develop soft skills such as interpersonal, leadership, communication, collaboration, adaptability, creativity, and other non-technical skills. This study aims to make a positive contribution in improving communication skills within the scope of SMEs, communities and students. This community service research aims to identify the optimization of one of the BCTI unit programs, namely Raising the Level of Speech which is given to MSMEs, Communities and Students. By using a qualitative descriptive method, because the research focus is to describe and provide an overview of the information on the object being studied. The research that has been done has shown that the Speech Level Raise training program is running effectively. Because participants who took part in the training experienced increased speaking skills and felt helped and useful for their needs. This program is also aligned with Sustainable Development Goal 4, namely Quality Education which ensures inclusive and equitable quality education and promotes lifelong learning opportunities for all.
Pemanfaatan Media Sosial dalam Pemasaran Produk UMKM Bu Wati di Desa Sumberejo Kabupaten Pasuruan
Authors: Muhammad Rifal Ramadhan  , Fatchur Rozci
Published: September 2024

UMKM actors are one of the jobs of the majority of the people in Sumberejo Village. The lack of information and technology for UMKM regarding social media technology in Industry 4.0 which is very helpful for UMKM to make sales online. Community service activities are carried out with outreach and assistance to provide knowledge and application of social media to market UMKM products. This activity went through four stages, namely the planning, preparation, socialization, and mentoring stages. Socialization and mentoring activities are carried out by teaching social media which consists of registration to completion. The existence of socialization regarding social media can help UMKM actors to facilitate sales in Industry 4.0
Pendampingan Distribusi Bantuan Langsung Tunai Dana Desa Terhadap Keluarga Penerima Manfaat Desa Tegalsari Kecamatan Garung Kabupaten Wonosobo
Authors: Miftahudin Miftahudin  , Robingun Suyud El Syam
Published: September 2024

In 2020 the Indonesian government implemented the Village Fund Direct Cash Assistance (BLT DD) program aimed at the poor affected by Covid-19. So it is necessary to provide assistance so that the assistance is right on target. Through the field method, the study concluded: That assistance in the distribution of direct cash assistance from village funds to beneficiary families in Tegalsari village, Garung sub-district, Wonosobo district through four strategies, namely the Determination Meeting of Beneficiary Families (KPM), KPM Data Validation, Cooperation with Banks, and BLT Distribution DD. This assistance is useful in ensuring that government assistance programs are right on target for the purpose of social welfare in Tegalsari Village.
Perancangan Panel Pompa 2 HP dengan Metode Pengasutan Direct On Line di PT. Tiga Kreasi Indonesia
Authors: Arjuna Fikri Tri Firmansyah  , Bagus Dwi Cahyono
Published: September 2024

Electrical energy is the main energy required for electrical equipment, to distribute this electrical energy requires an electrical panel. PT. Tiga Kreasi Indonesia is a company engaged in the manufacture of electrical panels with one of its products being a 2 HP pump panel which functions to activate and control a pump. This research uses observation method and literature study. The data collection method in this study was a direct observation system and literature study. The design process for the 2 HP pump panel has several stages, such as preparing the panel box first to place the appropriate components in the panel box construction drawings, then preparing a single line diagram and wiring drawings to serve as a reference to be connected between components, then preparing the components used, then arranging the components in the panel box match those in the panel box construction, then they are connected between the components according to the reference picture in the single line diagram and wiring diagram. Then simulate whether the DOL circuit is functioning, and the result is that the DOL circuit is functioning.
E-Catalog Produk Untuk Menunjang Presentasi Produk Bank Jateng
Authors: Vebyana Kusumawardani  , Ina Sholihah Widiati  , Febrianta Surya Nugraha
Published: September 2024

The era is increasingly developing, technology is increasingly modern, one of which is a smartphone, with a smartphone activities have been helped for communication, work to style. Android-based smartphones have offered their touch and play applications to become the flagship devices of today's technology. E-catalog is an information system from a catalog that can be accessed digitally. The purpose of creating this system is to support the paperless program launched by the Sukoharjo Branch of Bank Jateng. In making this system, it includes various Bank Jateng products, filling out customer and prospective customer forms, and being able to contact Bank Jateng officers at the Sukoharjo Branch. The design of this application uses Adobe Animate CC 2021 software and the programming language used in designing this E-Catalog system is Action Script 3.0. The results of research at Bank Jateng Sukoharjo Branch, it can be concluded that with this E-Catalog system it can make Marketing and Customer Service easier in marketing and Customers and Prospective Customers can easily understand from this Android-based E-Catalog.
Sistem Informasi Inventory Barang Menggunakan Metode Reorder Point Berbasis Java Pada LSP Ataknas Profesional Konstruksi
Authors: Safira Oktafiani  , Rizki Ridwan  , Rini Sriyanti
Published: September 2024

The purpose of the research is to design and implement a Java-based Inventory Information System at LSP Ataknas Professional Construction. The research methodology used in the data processing system is data collection techniques such as interviews, observations, documentation studies, and conducting literature research relevant to the problem of the previous goods inventory system. The system development method used is the Re-Order Point method. The results of this study are the existence of an application tool created with the Java Netbeans programming language and data storage in the MySQL database can provide smooth processing of the Goods Inventory Information System system.
Perancangan Charger Station Dengan Pembayaran Uang Koin Beserta Analisa Potensi Bisnisnya
Authors: Rian Tedy Lestari  , Djadjat Sudaradjat  , Trisna Fajar Prasetyo
Published: September 2024

At this time, many electronic devices use battery technology such as laptops, cell phones, Bluetooth earphones (TWS), Bluetooth speakers and others. The device requires electrical energy from the battery to operate. It's normal for people with high mobility who often leave the room to run out of battery power. Because of that, how do you solve the problem of running out of battery energy / low battery on electronic devices, because of that a charger station tool was designed with coin payments where there is business potential in designing the device. This study uses the PZEM-004T module as an electrical energy sensor and multi coin acceptor to select coins that enter the charger station system, then the WeMos D1 mini will control the SSR and provide information via the 16x2 Alphanumeric LCD and the Blynk application because the WeMos D1 mini module supports the Internet. of Things (IoT). The information displayed on the Alphanumeric 16x2 LCD is the remaining kWh balance, voltage and load power of the charger station user, then the Blynk application displays information on the number of rupiah coins that have been entered, the remaining kWh balance, voltage, current, power factor and load power of the charger user. This charger station system uses a coin of Rp. 100, Rp. 200, Rp. 500 and Rp. 1000, where if the coins are inserted into the charger station system, the user will get a kWh electricity balance according to the calculation of the selling price. The author uses a profit margin of 300% of the cost of class B1 PLN electricity rates plus the cost of the charger station system electricity.
Studi Literartur Algoritma Pemograman Pada Pembelajaran Matematika
Authors: Nursania Simbolon  , Yahfizham Yahfizham
Published: September 2024

An algorithm is an effective step or method used to solve a particular problem or task. Algorithms are designed to be executed in a methodical manner, structured As it is. logical in this way, thus enabling consistent and efficient problem solving. A few issues that could come up during the process of designing an algorithm include: 1. Inappropriate Structure, .2. Illogical Algorithm, .3. Difficulty in Solving Algorithms: Sometimes, solving algorithms can be difficult, especially if the problem at hand is complex. This can cause confusion and require extra time to design the right algorithm. Programming algorithms typically serve as a guide for computer programmers in designing and implementing software solutions. This algorithm must be clear, systematic, and can be implemented well in the chosen programming language. This research shows that It is crucial to deal with this matter in order to plan and design the algorithm carefully. This may involve modeling the problem, logical thinking, and testing the algorithm to ensure that the algorithm is working as intended. Additionally, in software development, teams often work together to solve problems and optimize algorithms. With good practice and experience, solving algorithms can become more efficient and effective. The following are several types of programming algorithms related to mathematics: 1. Basic Mathematical Operation Algorithms, 2. Search and Sorting Algorithms, 3. Graph Algorithms 4. Geometry Algorithms, 5. Cryptographic Algorithms, 6. Statistical Algorithms, 7. Machine Learning Algorithms, 8. Advanced Mathematical Algorithms. This study uses a library approach and is qualitative.
Pelatihan Robot Soccer Bagi Siswa-Siswi SMKN 4 Kota Serang
Authors: Fikri Ardiyansah  , Ihsan Faturrohman  , Yoga Dwi Septiyanto  , Siti Sypah Fauziyah  , Khaila Mardina Fauziah Awalia  , Prasta Mahrifatika  , Repdhi Febriyan  , Yudi Syah Pratama  , Hijroh Tamamil Gina  , Muhammad Reza Nugraha  , Deva Adelya Prestanty  , Irwanto Irwanto
Published: September 2024

In the era of the Merdeka Curriculum, Industry 4.0 encompasses online learning, data analysis, artificial intelligence, the Internet of Things, digital skills development, project-based learning, and innovation. This enables a more personalized, efficient, and relevant education, while prioritizing equal access to technology and student data security and privacy. Community service in this context aims to provide introduction and training packaged in the form of a one-day workshop to attract the interest and talents of students at SMKN 4 Kota Serang to the basics of robotics, hardware components, software, as well as the design of hardware and software for soccer robots. The outcome of this activity is that students are able to understand the basic components, programming concepts of soccer robots, and can assemble a soccer robot module effectively and operate it. Many students are enthusiastic about this activity and express hope that it can continue so that a new robotics team can be formed at SMKN 4 Kota Serang, preparing them for upcoming robot competition championships.
Penerapan Data Mining Dalam Menentukan Tingkat Kepuasan Orangtua Terhadap Kinerja Guru Pada Masa Pandemi Covid-19
Authors: Priya Adhitia  , Riki Winanjaya
Published: September 2024

The purpose of the study was to determine parental satisfaction with teacher performance during the COVID-19 pandemic. By knowing the level of parental satisfaction, the Elementary School can improve the quality of learning if it is not good and further improve teacher performance if the level of satisfaction is good. The method used in this study is the C4.5 Algorithm, where the data source used is a questionnaire/ questionnaire technique given to parents of students at SD MIN Bahkapul Pematangsiantar. The variables used include (1) Tangibles, (2) Reliability, (3) Responsive, (4) Assurance and (5) Empathy. The research test process usses RapidMiner software to create a decision tree. From the resultss of the analysis, it is hoped that it can improve the performance of SD MIN Bahkapul teachers so that the services provided to students can be even better.
Perancangan Jaringan Pada Client Server Menggunakan Aplikasi Cisco Packet Tracer
Authors: Susilawati  Susilawati  , Bayu Sasongkojati  , Didik Aribowo
Published: September 2024

Currently, the development of computer networks is progressing rapidly. Along with this, user demands for network quality are increasing, both LAN and WAN. Computer networking is the transmission of data (data communication) from the source computer (sender) to the destination computer (receiver) in the form of bits on the sending medium. The Cisco Packet Tracer application allows you to use simulated network data to provide information about the connectivity status of computers on your network when network connectivity problems occur. The method used is to look for references from various internet sources such as Google and YouTube. Simulate your network system using the Cisco Packet Tracer application. Cisco Packet Tracer is network simulator software introduced by Cisco Systems which functions as a learning, training and research medium for computer network simulations.
Analisis Kepuasan Pelayanan Pemberian Vaksinasi Di Era Pandemik Covid-19 Di UPT Puskesmas Medan Tuntungan
Authors: Rosalina Yudica
Published: September 2024

Ditemukan bahwa adanya pasien yang kurang puas terhadap pelayanan yang di terima contohnya: Keramahan petugas saat pelaksanaan vaksinasi, Alur saat pelaksanaan vaksinasi Covid-19, Edukasi dan Protokol Kesehatan. Sehingga terjadinya kesalah pahaman yang menimbulkan rasa kurang nyaman. Mengenai Kepuasan pelayanan di tempat pemberian vaksinasi di Unit Pelaksana Teknis (UPT) Puskesmas Medan Tuntungan. Jenis penelitian ini menggunakan penelitian Kualitaif dengan Metode yang digunakan dalam penelitian ini adalah metode observasi dan wawancara. Studi kasus yang dilakukan di UPT Puskesmas Medan Tuntungan. Dari penelitian ini adalah beban kerja, pada bahaian NAKES, Dewasa, Pralansia, Lansia dan Pelayanan Publik dan data pendukung lainnya. Data penelitian ini di ambil dengan melakukan observasi dan wawancara sebagai dokumentasi. Berdasarkan hasil distribusi frekuensi seperti terangkum dalam tabel. Dapat diketahui bahwa kepuasan pasien vaksinasi  pada pasien Nakes di UPT Puskesmas Medan Tuntungan dari 100 responden sebagian besar 5 (5%) menyatakan sangat puas dan 85 (85%) menyatakan puas. pada pasien dewasa di UPT Puskesmas Medan Tuntungan dari 100 responden sebanyak 12 % menyatakan sangat puas, 88 % menyatakan puas. pada pasien Pralansia di UPT Puskesmas Medan Tuntungan dari 100 responden sebanyak 5% menyatakan sangat puas, 90% menyatakan puas, dan sebanyak 5 % menyatakan cukup puas. pada pasien Lansia di UPT Puskesmas Medan Tuntungan dari 100 responden sebanyak 9% menyatakan sangat puas, 86 % menyatakan puas dan 5 % menyatakan cukup puas. pada pasien Pelayanan Publik di UPT Puskesmas Medan Tuntungan dari 100 responden sebanyak 12% menyatakan sangat puas dan 88 % menyatakan puas.
Analisis Waktu Tunggu Hasil Pelayanan Foto Thorax Pasien Rawat Jalan Di Instalasi Radiologi Rumah Sakit Khusus Paru Medan
Authors: Tjuanda Yusriwan
Published: September 2024

Pelayanan radiologi adalah pelayanan medik yang menggunakan semua modalitas dengan menggunakan sumber radiasi pengion dan non pengion untuk diagnosis atau terapi dengan panduan imaging. Mutu pelayanan di rumah sakit khususnya di instalasi radiologi di pengaruhi dengan proses pemberian pelayanan dimana salah satunya adalah waktu tunggu hasil pelayanan foto. Tujuan dari penelitian ini adalah untuk mengetahui waktu tunggu pelayanan foto thorax pasien rawat jalan   di instalasi radiologi Rumah Sakit Khusus Paru Medan. Metoda penelitian ini menggunakan metode penelitian deskriptif dengan pendekatan  kualitatif yang dilakukan di Instalasi radiologi Rumah Sakit Khusus Paru Medan pada bulan Juni 2022. Metoda pengambilan data dilakukan dengan observasi dan dokumentasi dan analisis data analisis data dilakukan dengan observasi, kajian dokumen, kemudian dibandingkan analisis kualitatif   Hasil penelitian yang dilakukan selama satu bulan  dengan sampel 50 pasien rawat jalan  foto thorax didapatkan   rata-rata waktu tunggu pasien di ruang pendaftaran 6,74 menit, ratarata waktu tunggu pasien di ruang pemeriksaan 6,34 menit, rata-rata pembacaan foto  thorax 4,64 menit dan rata-rata waktu tunggu hasil foto thorax 40,2 menit khusus paru medan tentang waktu tunggu hasil pelayanan foto thorax yaitu ≤ 3 jam atau 180 menit. Kesimpulan dari penelitian ini bahwa standar Pelayanan yang diterapkan di Rumah Sakit Khusus Paru sudah terpenuhi sesuai dengan peraturan Kepmenkes No. 129/Menkes/SK/11/2008 dengan waktu pembacaan hasil pemeriksaan foto thorax dihitung mulai dari pasien di foto sampai dengan hasil di ekspertise di print ≤ 3 jam.
E-Learning Solusi Pembelajaran Online Pandemi Covid-19 Mahasiswa di Kota Medan
Authors: Sholeha Dewi
Published: September 2024

This study aims to determine electronic learning (e-learning) to improve students' analytical skills during the Covid-19 Pandemic. The research population is the first semester students of the University in Medan City with the sample taken at random. Data collection techniques used observation, documentation studies, and analytical thinking skills tests, and were analyzed using paired sample t-test. This research shows the ineffectiveness of using e-learning as a substitute for conventional lectures (non-e-learning). But even so, the average analytical thinking ability of the e-leaning group is also quite large, namely 71.21 so e-learning is also quite good to use, but maybe not as a substitute for conventional learning, but as a supplement (additional) and/or complement. (complementary) learning.
Gambaran Kelayakan Kamar Gelap Di Rsu Vina Estetika Description Of The feasibility Of A Dark Room At Rsu Vina Estetika
Authors: Jonas Jonas
Published: September 2024

The dark room is an important room in a Radiology Installation which is useful as a place for film processing, storage of unexposed film, storage and maintenance of cassettes and screens, as a place for the initial and final processes of making radiographs. This process plays an important role because it affects the quality of the resulting radiograph. Darkroom equipment must meet the standards of the Republic of Indonesia Minister of Health Regulation No. 24 of 2020, so periodic inspections must be carried out in the darkroom to produce an optimal picture of the film processing process. This research aims to determine the standardization of the darkroom in the radiology installation at RSU Vina Estetika. This research is a type of qualitative descriptive research. The research was conducted at RSU Vina Estetika from April to May 2022. Data processing was carried out by means of field observations, in-depth interviews with radiographers and documentation. The object of this research is a dark room while the research target is a radiographer. In this research, the results showed that at RSU Vina Estetika there were several darkroom components that did not meet standards, such as the darkroom construction on the ceiling, ventilation, general lighting, and the absence of a cassette hatch. Meanwhile, the darkroom floor, darkroom work layout, darkroom equipment, darkroom location and water circulation in the darkroom have met standardization.
Analisa Kemacetan Persimpangan Jalan H. Adam Malik Medan dengan Jalan KL.YOS Sudarso Medan Sepanjang 5 km
Authors: Richard Napitupulu  , Yusuf Aulia Lubis  , M. Fadillah
Published: September 2024

Simpang Empat Jalan H. Adam Malik – Jalan Kol. Yos Sudarso Medan sampai dengan sepanjang 5 km kearah Belawan, rawan terhadap kemacetan. Tingginya volume kendaraan serta kurangnya kesadaran masyarakat akan sistem prioritas berkendara mengakibatkan besarnya peluang kemacetan yang terjadi pada simpang tersebut. Sehubungan hal itu maka perlu dilakukan penelitian untuk mengetahui tingkat kemacetan dari simpang tersebut, sehingga nantinya simpang pada ruas jalan tersebut dapat melayani arus lalu lintas secara optimal dan pengguna jalan yang melintas dipersimpangan akan merasa tetap aman dan nyaman. Penelitian ini memberikan hasil sebagai berikut : 1). Waktu Tundaan d ( delay ) pada Lengan Persimpangan (a. Jalan Adam Malik Medan = 55.33  detik/smp, b. Jalan Kl. Yos Sudarso Medan =  51.45 detik/smp, c. Jalan Putri Hijau Medan =54.64 detik/smp. 2). Tingkat Pelayanan Lengan Simpang yaitu E yang Menyatakan kondisi operasional dengan Tundaan (delay)40,1 – 60,0 detik/kend. Hal ini dipertimbangkan sebagai batas delay yang dapat diterima. Delay yang tinggi ini menunjukkan gerak maju yang jelek, waktu siklus yang lama dan perbandingan v/c yang tinggi, 3). Pada persimpangan didapatkan konflik-konflik yang dapat menyebabkan kecelakaan dikarenakan oleh beberapa faktor. Oleh karna itu penanganan pada persimpangan ini sebaiknya dibutuhkan. Solusi-solusi perbaikan yang diterapkan akan membuat pengurangan konflik dan kecelakaan sampai pada tidak terjadinya lagi kecelakaan. Perbaikan analisa konflik yang dapat dilakukan antara lain : a. Pemasangan rambu prioritas, b. Pemasangan rambu dilarang berhenti, c. Pembuatan pulau persimpangan, d. Selain pada solusi perbaikan tersebut, dibutuhkan juga kesadaran pengguna jalan agar meningkatkan keamanan dan keselamatan bagi sesama pengguna jalan. Hal-hal tersebut mencakup keselamatan pengendara dan kelayakan kendaraan yang digunakan.
Evaluasi Proyek Pembangunan Ruang Inap Kelas III Rumah Sakit Umum Dr. Pirngadi Medan
Authors: Robinson Sidjabat  , Mahadianto Ong  , Idaman Halawa  , Jelfriansa Zagoto
Published: September 2024

Setiap pondasi harus mampu mendukung beban sampai batas keamanan yang telah ditentukan, termasuk mendukung beban maksimum yang mungkin terjadi. Jenis pondasi yang sesuai dengan tanah pendukung yang terletak pada kedalaman 10 meter di bawah permukaan tanah adalah pondasi tiang Pancang. Setelah memperhatikan alasan – alasan tertentu seperti karakteristik tanah, beban struktur atas, lingkungan sekitar proyek maka pada Pembangunan Ruang Inap Kelas III RSU. Dr. Pirngadi Medan ini digunakan pondasi tiang pancang. Pembuatan pondasi tiang pancang di lakukan dipabrik, kemudian dibawa kelokasi proyek. Pondasi tiang pancang terdiri dari beberapa tiang dalam satu kelompok yang disatukan dengan pile cap, karena momen lentur struktur atas dan beban aksial yang akan didukung pondasi cukup besar. Pile cap dipakai untuk mendistribusikan beban ke seluruh tiang.
Pada Pembangunan Ruang Inap Kelas III RSU. Dr. Pirngadi Medan ini, penyelidikan geoteknik yang dilakukan adalah penyelidikan lapangan (InSituTest) yang terdiri dari Penyelidikan Tanah (Soil Investigation) dan Standart Penetration Test (SPT) dan uji laboratorium. Dari hasil Laboratorium yang dilakukan pada Sepuluh Titik data Sondir dan Tiga Data Bore hole (bor mesin) dapat dijelaskan bahwa sistem pelapisan tanah dilokasi tersebut hampir seragam, baik dari jenis tanah maupun kekuatan tanah pada setiap lapisan.
Estimasi Loss Of Life Tranformator Berdasarkan Loading dan Temperature Menggunakan LSTM di Gardu Induk 150KV Buduran
Authors: Piyan Anjar Novian
Published: September 2024

Transformers are crucial equipment in substations, performing important tasks such as voltage transformation, current adjustment, and power quality maintenance. However, various factors over time, such as increased operating temperature, loading conditions, and maintenance schedules, can impact transformer performance and lead to a reduction in its lifespan. This research focuses on the effective and accurate estimation of age loss employ the Long Short Term Memory (LSTM) skill. LSTM means a deep neural network that processes sequential data and retains historical information. Data utilized in this research is sourced from transformer 6 at the Buduran 150 kV substation, including load and oil temperature data for 2021 and 2022. The performance of LSTM is assessed using Mean Squared Error (MSE) cum Root Mean Squared Error (RMSE). The estimation results demonstrate the favorable performance of the LSTM method, with an MSE error value of 0.0002 and an RMSE of 0.014. The projected age loss for 2023 is estimated to be 17.89% or 0.1789 pu.
Transformers are crucial equipment in substations, performing important tasks such as voltage transformation, current adjustment, and power quality maintenance. However, various factors over time, such as increased operating temperature, loading conditions, and maintenance schedules, can impact transformer performance and lead to a reduction in its lifespan. This research focuses on the effective and accurate estimation of age loss employ the Long Short Term Memory (LSTM) skill. LSTM means a deep neural network that processes sequential data and retains historical information. Data utilized in this research is sourced from transformer 6 at the Buduran 150 kV substation, including load and oil temperature data for 2021 and 2022. The performance of LSTM is assessed using Mean Squared Error (MSE) cum Root Mean Squared Error (RMSE). The estimation results demonstrate the favorable performance of the LSTM method, with an MSE error value of 0.0002 and an RMSE of 0.014. The projected age loss for 2023 is estimated to be 17.89% or 0.1789 pu.