bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perancangan Desain Penerapan Double Reaktor Pada Mesin Pirolisis Untuk Pembakaran Sampah Plastik
Authors: Kholili Navik , Siswadi Siswadi , Hindratmo Astria 
Published: March 2024

Sampah plastik merupakan jenis sampah anorganik yang sangat sulit terurai dalam tanah. Karena sulit terurai oleh tanah, maka beberapa kita jumpai sampah plastik dibakar. Â Dampak lingkungan asap pembakaran sampah plastik yaitu terjadinya gangguan pernafasan, iritasi pada mata, hingga menyebabkan orang sakit kanker. Pasar tradisional di Desa Kunjang Kabupaten Kediri merupakan salah satu pasar yang dalam pengelolaan sampah pasar jenis plastik (anorganik) dilakukan dengan cara dibakar secara langsung.Â Asap pembakaran cukup menganggu area sekitar pemukiman sekitar pasar. Melihat kondisi tersebut, maka pada pengelolaan sampah plastik di pasar Desa Kunjang perlu teknologi tepat guna untuk membakar sampah namun asapnya tidak menggangu lingkungan. Tujuan dari penelitian ini yaitu merancang sistem double reaktor pada mesin pirolisis untuk meningkatkan jumlah kapasitas dan efisiensi bahan bakar pembakaran sampah plastik untuk mengurangi asap pembakaran sampah plastik sehingga tidak menggagu lingkungan. Metode yang digunakan dalam perancangan mesin pirolisis yaitu metode Stuart Pugh. Data yang digunakan yaitu data primer dari hasil wawancara dan kuesioner serta data sekunder dari jurnal ilmiah. Hasil penelitian yaitu menghasilkan desain mesin pirolisis dengan double reaktor yang sesuai keinginan pengguna dan kapsitas pembakaran menjadi 2 kali lipat dari 200kg menjadi 400kg, efisien bahan bakar, harga murah, serta perawatan yang mudah.
Perbandingan Metode Forecasting K-NN, NN dan SVM Untuk Peramalan Jumlah Produksi Coconut Oil
Authors: Drajana Ivo Colanus Rally , Botutihe Marniyati H. 
Published: March 2024

Abstrak

Tanaman pohon kelapa memiliki banyak bagian yang dimanfaatkan, sehingga tumbuhan ini dianggap tumbuhan serbaguna. Minyak kelapa (coconut oil) dihasilkan oleh buah pohon kelapa salah satunya adalah buah kelapa yang diolah menjadi minyak kelapa (coconut oil). Peramalan sangat diperlukan untuk meramalkan jumlah produksi minyak kelapa (coconut oil) pada sebuah perusahaan untuk mencapai target produksi. Penelitian ini memiliki tujuan untuk membandingkan metode forecasting untuk mendaptkan model terbaik. Dari hasil eksperimen menggunakan data sales order (SO) di peroleh model terbaik untuk peramlan menunjukkan bahwa model yang terbaik dihasilkan oleh algoritma Support Vector Machine (SVM) dilihat dari hasil RMSE terkecil yaitu 0,172 jika di bandingkan dengan model K-Nearest Neighbor (K-NN) dan model Neural Network (NN).
Autoavaliação dos cursos de graduação EAD
Authors: Brun Gilson , Azevedo Ana Leticia Padeski Ferreira de 
Published: March 2024

A autoavaliação nos cursos de graduação é um dos processos avaliativos que foi instituído em 2004 através do Sistema Nacional de Avaliação da Educação Superior (SINAES), por meio da lei n. 10.861. O processo de avaliação tem como objetivo identificar o perfil e significado de atuação da instituição verificando atividades, cursos, programas, projetos e setores das diferentes dimensões institucionais. Preconiza que, através dos dados coletados, sejam realizadas ações para a melhoria da educação superior, aumento da eficácia institucional e da efetividade acadêmica e social. O processo avaliativo culminaria na contribuição de tomadas de decisões institucionais, uma vez que é apresentado aos gestores da instituição. Ao ouvir a comunidade interna e levantar as demandas e necessidades desses grupos é possível planejar e executar intervenções que atendam a essas questões. Nesse artigo buscamos analisar os pontos fortes e fracos dos cursos por meio da autoavaliação realizada pelos discentes, a fim de identificar melhorias para o aprimoramento desses cursos. Podemos inferir que a instituição apresenta pontos fortes significativos em relação ao material didático, bem como na forma como os alunos utilizam com as videoaulas. O alto nível de satisfação dos alunos pode ser usado como um diferencial competitivo para atrair novos alunos e expandir a oferta de cursos. Outro ponto forte são as atividades disponíveis no AVA e as provas, com um alto nível de satisfação dos alunos. A diversidade de atividades no AVA e o acesso dos alunos a diferentes tipos de provas são oportunidades para aprimorar ainda mais a qualidade da avaliação, traçando um cenário mais fidedigno do processo de aprendizagem. Uma das limitações desse estudo é a falta de informações mais aprofundadas sobre os quesitos abordados, não sendo possível nesse momento identificar os pontos fracos e as suas ameaças correlatas.
A feminização da profissão docente e a identidade da professora de educação infantil
Authors: Stadler Roseli , Pereira Soeli Terezinha 
Published: March 2024

O presente artigo tem por finalidade apresentar aspectos em torno do trabalho de conclusão de curso que analisou a feminização da profissão docente na construção da identidade profissional da professora de educação infantil e os desafios da profissão. A questão norteadora do estudo foi: diante da feminização da profissão docente quais os desafios para a identidade da professora que atua na educação infantil? Para responder a essa questão a metodologia utilizada foi a revisão bibliográfica. Foram analisados fatores em torno da feminização do trabalho docente a sua influência nos desafios para as professoras de educação infantil. Para isso, se fez necessário retomar o histórico da educação infantil, quais foram os caminhos percorridos e quais as principais leis e normativas que amparam a educação infantil como um direito fundamental das crianças. O magistério é visto como uma profissão feminina, onde os atributos designados às mulheres são vistos como essenciais para a docência, sendo também uma das primeiras profissões a serem aceitas pela sociedade para as mulheres, sendo muitos os aspectos históricos e sociais que explicam essa trajetória do magistério no Brasil. As professoras têm um papel essencial na educação infantil, etapa essa em que o cuidar e o educar caminham juntos, com muitos desafios. Mediante a pesquisa realizada concluiu-se que a docência é vista como uma profissão feminina e que na educação infantil, devido ao histórico da feminização docente, esse fato é ainda mais presente do que em outras etapas da educação básica. Tal evidência pode ter como consequência o não reconhecimento da identidade profissional das professoras que atuam na educação infantil, o que implica em não ter a mesma valorização do que outras(os) professoras(es) que atuam nas demais etapas educacionais, sendo vistas como “tias”, nem sempre consideradas como profissionais competentes e que estão na profissão devido à sua formação. Desse modo, entende-se que as professoras têm direito à formação inicial e continuada de qualidade, ao reconhecimento e valorização da sua atuação profissional e às condições adequadas para o exercício da docência desde a creche.
INTEGRATING ARTIFICIAL INTELLIGENCE IN PERSONALIZED INSURANCE PRODUCTS: A PATHWAY TO ENHANCED CUSTOMER ENGAGEMENT
Authors: Omotayo Bukola Adeoye  , Chinwe Chinazo Okoye  , Onyeka Chrisanctus Ofodile  , Olubusola Odeyemi  , Wilhelmina Afua Addy  , Adeola Olusola Ajayi-Nifise  
Published: March 2024

The integration of Artificial Intelligence (AI) in the insurance sector has ushered in a new era of personalized insurance products, offering enhanced customer engagement and satisfaction. This review explores the transformative potential of AI in reshaping the landscape of insurance services, focusing specifically on the augmentation of customer engagement through personalized offerings. AI-driven algorithms and machine learning techniques enable insurers to analyze vast amounts of data with unprecedented speed and accuracy, facilitating the customization of insurance products to meet individual customer needs. By leveraging data from various sources such as IoT devices, social media, and historical claims data, insurers can gain deeper insights into customer behavior, preferences, and risk profiles. Personalized insurance products not only cater to the unique requirements of customers but also foster greater engagement by offering tailored recommendations, proactive risk management solutions, and real-time assistance. Through predictive analytics, AI algorithms can anticipate customer needs and preferences, allowing insurers to offer timely and relevant services, thereby enhancing customer satisfaction and loyalty. Moreover, AI-powered chatbots and virtual assistants serve as accessible and responsive touchpoints for customers, providing instant support, guidance, and personalized recommendations throughout the insurance lifecycle. By streamlining communication channels and offering seamless interactions, AI technologies strengthen the bond between insurers and customers, fostering long-term relationships built on trust and transparency. The integration of AI in personalized insurance products represents a transformative pathway towards enhanced customer engagement. By harnessing the power of AI-driven analytics and automation, insurers can deliver tailor-made solutions that resonate with individual customers, driving higher levels of satisfaction, loyalty, and ultimately, business growth.
Keywords: Artificial Intelligence, Insurance, Privacy-Enhanced, Customer, Engagement, Review.
PROJECT MANAGEMENT STRATEGIES FOR ACCELERATING ENERGY EFFICIENCY IN HVAC SYSTEMS AMIDST CLIMATE CHANGE
Authors: Wisdom Ebirim  , Nwakamma Ninduwezuor-Ehiobu  , Favour Oluwadamilare Usman  , Kehinde Andrew Olu-lawal  , Emmanuel Chigozie Ani  , Danny Jose Portillo Montero  
Published: March 2024

Amidst the escalating impacts of climate change, optimizing energy efficiency in Heating, Ventilation, and Air Conditioning (HVAC) systems emerges as a critical imperative. This review explores project management strategies aimed at accelerating energy efficiency in HVAC systems amidst climate change challenges. In response to climate change, the urgency to mitigate energy consumption in HVAC systems has intensified. Project management plays a pivotal role in orchestrating systematic approaches to address this challenge. Firstly, effective project management entails comprehensive planning. This involves conducting thorough energy audits and assessments to identify inefficiencies and prioritize improvement opportunities. Utilizing advanced technologies such as Building Energy Management Systems (BEMS) can enhance data collection and analysis for informed decision-making. Secondly, stakeholder engagement is essential for successful project implementation. Collaboration between building owners, facility managers, engineers, and contractors facilitates alignment of goals and resources. Clear communication channels and regular progress updates foster accountability and momentum throughout the project lifecycle. Thirdly, project management methodologies like Agile or Lean can streamline HVAC efficiency initiatives. Iterative development allows for continuous improvement, enabling teams to adapt to evolving requirements and incorporate feedback effectively. Moreover, risk management strategies are vital to anticipate and mitigate potential obstacles. Contingency plans for supply chain disruptions, regulatory changes, and unforeseen technical challenges ensure project resilience and minimize disruptions. Lastly, monitoring and evaluation mechanisms are indispensable for tracking project performance and verifying energy savings. Utilizing Key Performance Indicators (KPIs) and performance benchmarks enables stakeholders to measure success and adjust strategies as needed. Effective project management strategies are indispensable for accelerating energy efficiency in HVAC systems amidst climate change. By emphasizing comprehensive planning, stakeholder engagement, agile methodologies, risk management, and continuous evaluation, organizations can navigate challenges and realize substantial energy savings in HVAC operations.
Keywords: Project Management, HVAC, Climate Change, Energy, Efficiency, Review.
MARKET EXPANSION AND COMPETITIVE POSITIONING IN SATELLITE TELECOMMUNICATIONS: A REVIEW OF ANALYTICS-DRIVEN STRATEGIES WITHIN THE GLOBAL LANDSCAPE
Authors: Nneka Adaobi Ochuba  , Olukunle Oladipupo Amoo  , Olatunji Akinrinola  , Favour Oluwadamilare Usman  , Enyinaya Stefano Okafor  
Published: March 2024

Market expansion and competitive positioning are paramount in the dynamic landscape of satellite telecommunications. This review explores the role of analytics-driven strategies in achieving these objectives on a global scale. Satellite telecommunications providers face intense competition, technological advancements, and evolving customer expectations, necessitating innovative approaches to gain a competitive edge. Analytics plays a crucial role in understanding market trends, consumer behavior, and competitor strategies. By leveraging advanced analytics techniques, companies can uncover actionable insights to inform strategic decision-making. One key area where analytics is instrumental is in identifying untapped market opportunities. Through data analysis, companies can pinpoint underserved regions or niche markets, enabling targeted expansion efforts. Moreover, analytics enables companies to optimize their service offerings and pricing strategies. By analyzing customer preferences, usage patterns, and market dynamics, companies can tailor their offerings to meet specific customer needs. This personalized approach not only enhances customer satisfaction but also improves profitability. Analytics also plays a vital role in enhancing operational efficiency. By analyzing data from satellite networks, companies can identify potential bottlenecks, optimize resource allocation, and improve overall network performance. This not only reduces operational costs but also enhances service reliability and quality. Furthermore, analytics-driven strategies are instrumental in competitive positioning. By analyzing competitor performance, market trends, and customer feedback, companies can identify areas where they can differentiate themselves. This could include offering innovative services, improving customer support, or enhancing network coverage. In conclusion, analytics-driven strategies are crucial for satellite telecommunications companies looking to expand their market presence and enhance their competitive positioning. By leveraging data analytics, companies can uncover valuable insights that inform strategic decision-making, optimize operations, and drive innovation. In an increasingly competitive landscape, the ability to harness the power of analytics is key to long-term success in the satellite telecommunications industry.
Keywords: Market Expansion, Competitive, Positioning, Satellite, Communications.
ENHANCING CUSTOMER SERVICE IN SATELLITE TELECOMMUNICATIONS: A REVIEW OF DATA-DRIVEN INSIGHTS AND METHODOLOGIES FOR PERSONALIZED SERVICE OFFERINGS
Authors: Nneka Adaobi Ochuba  , Enyinaya Stefano Okafor  , Olatunji Akinrinola  , Olukunle Oladipupo Amoo  , Favour Oluwadamilare Usman  
Published: March 2024

Enhancing customer service in satellite telecommunications is a critical focus area for companies seeking to differentiate themselves in a competitive market. This Review reviews data-driven insights and methodologies aimed at delivering personalized service offerings to satellite telecommunications customers. Personalized service offerings leverage data analytics to tailor services to individual customer needs and preferences. By analyzing customer data, such as usage patterns, service history, and feedback, satellite telecommunications companies can gain valuable insights into customer behavior and preferences. These insights enable companies to offer customized services that meet the specific needs of each customer. Data-driven insights play a crucial role in enhancing customer service in satellite telecommunications. By analyzing customer data, companies can identify trends and patterns that help them understand customer needs and preferences better. This understanding enables companies to develop personalized service offerings that resonate with customers and drive customer satisfaction and loyalty. Methodologies for delivering personalized service offerings in satellite telecommunications include predictive analytics, machine learning, and artificial intelligence. Predictive analytics enables companies to forecast customer behavior and anticipate future needs, allowing them to proactively address customer needs. Machine learning algorithms can analyze large volumes of customer data to identify patterns and trends that would be difficult for humans to detect. Artificial intelligence can enhance customer service by enabling companies to automate processes and provide personalized recommendations to customers. In conclusion, enhancing customer service in satellite telecommunications requires a data-driven approach that leverages insights and methodologies to deliver personalized service offerings. By analyzing customer data and using advanced analytics and AI technologies, satellite telecommunications companies can tailor services to individual customer needs and preferences, driving customer satisfaction and loyalty.
Keywords: Customer Service, Satellite, Telecommunications, Data-driven, Service Offerings.
PEMBUATAN PROTOTYPE SMART DOOR LOCK MENGGUNAKAN RFID (RADIO FREQUENCY IDENTIFICATION) DAN MIKROKONTROLLER ARDUINO
Authors: Tri Linda Sofiyana  , Akhlis Munazilin  
Published: March 2024

Mengaplikasikan teknologi yang inovatif. Kebutuhan akan efektifitas dan efisiensi sangat diutamakan dalam berbagai bidang. Hal tersebut telah mendorong manusia untuk berkreasi dan berinovasi dalam bidang teknologi untuk menciptakan suatu alat yang lebih efektif dan efisien. Perkembangan teknologi saat ini dapat dilihat sudah banyak alat yang diciptakan agar memberikan kemudahan kepada masyarakat dalam melaksanakan pekerjaan. Smart door lock merupakan teknologi baru dalam penggunaan pintu secara otomatis. Penelitian ini menggunakan penelitian eksperimen dan metode pengembangan prototype. Penggunaan metode ini bertujuan untuk menghasilkan atau mengembangkan produk tertentu. Metode ini diterapkan pada prosedur penelitian menjadi 6 tahapan yaitu (1) Requirements, (2) Quick Design, (3) Build Prototype, (4) User Evaluation, (5) Refining Prototype, dan (6) Implementation. Berdasarkan hasil pengujian dapat disimpulkan bahwa pembuatan smart door lock dapat digunakan dengan baik, sesuai dengan rancangan yang dibuat. Ketika RFID tag ditempelkan pada RFID reader dengan jarak dekat, maka akan membaca ID kartu sesuai jadwal. Kemudian LCD akan menampilkan output berupa tulisan. Jika sesuai jadwal maka selenoid akan terbuka dan akan terkunci kembali
San Albino, Nicaragua: A Low-Angle, Thrust-Controlled Orogenic Gold Deposit
Authors: Lipson Rael D. , Goldfarb Richard J. , Frieman Ben M. , Payne John 
Published: March 2024

Abstract
The San Albino deposit is an orogenic gold occurrence hosted by a low-angle thrust that is the site of a new open-pit mine in northern Nicaragua. The deposit is hosted in greenschist facies rocks of the Jurassic metasedimentary Neuvo Segovia Formation. The schist was uplifted and exposed during arc accretion and Cretaceous thin-skin deformation, forming the NE-striking Colon fold-and-thrust belt. Deformation included emplacement of the 119 to 113 Ma NE-trending Dipilto batholith into the regionally metamorphosed clastic rocks about 5 km northwest of the San Albino deposit. Mineralization is dominated by three laminated quartz vein systems (i.e., San Albino, Naranjo, Arras) that broadly follow shallowly dipping (approx. 30°) carbonaceous shears roughly concordant to schistosity along the limbs of a doubly plunging antiform. The three main parallel shears are each separated by about 90 m and individually reach a maximum thickness of about 8 m. Maximum thickness of ore zones is where post-ore local folding and reverse motion along the shallow shears has duplicated the laminated low-angle gold-bearing veins (D2 and early D3). Additional gold was added to the veins, with abundant sulfides, during a subsequent brecciation event of the early formed quartz veins that accompanied progressive thrusting (late D3). This predated boudinage of the veins during continued compression and thrust loading (D4); high gold grades are particularly notable along pyrite- and arsenopyrite-bearing stylolites formed during D4 pressure solution. The D2 to D3 gold event is likely coeval with Albian uplift of the Dipilto batholith and with back thrusting in the schist aided by the stress inhomogeneities provided by the igneous complex.
Low-angle thrust-controlled orogenic gold deposits may represent world-class exploration targets because of their large linear footprints, although they are traditionally looked at as less favorable exploration targets relative to gold systems developed more commonly along high-angle reverse faults. Our case study of the San Albino deposit shows that although low-angle deposits are not inherently misoriented for failure like the more common subvertical reverse fault-related deposits, they may be sites of significant pressure buildup due to hydrothermal mineral precipitation during initial water-rock interaction or slight temperature decreases along the low-angle flow path. Resulting fluid cycling may lead to thick laminated vein development, such as seen at San Albino, where especially high-grade zones may be associated with local steepening and/or dilational zones within the broader, low-angle vein-hosting shear system.
Linking Porphyry Cu Formation to Tectonic Change in Postsubduction Settings: A Case Study from the Giant Yulong Belt, Eastern Tibet
Authors: Huang Ming-Liang , Bi Xian-Wu , Hu Rui-Zhong , Chiaradia Massimo , Zhu Jing-Jing , Xu Lei-Luo , Yang Zong-Yong 
Published: March 2024

Abstract
Porphyry deposits in magmatic arcs form coincident with changes to steady-state oceanic subduction conditions, such as changes in plate convergence rate and vector or angle of subduction. However, it remains unclear whether such processes also operated during formation of postsubduction porphyry deposits. The Yulong magmatic belt in the eastern Tibetan Plateau consists of middle to late Eocene igneous rocks (~51–35 Ma) that formed during the India-Asia collision, whereas all known porphyry deposits are associated with late Eocene rocks (43–35 Ma). A synthesis of new and published geochemical data shows marked variations from the middle to late Eocene, including increasing whole-rock La/Yb, Sr/Y, and EuN/EuN* values, as well as zircon EuN/EuN* values. These geochemical variations, together with petrographic observations, indicate a transition from plagioclase-dominated to amphibole-dominated fractionation from the middle to late Eocene.
Coupled changes of magma compositions and porphyry Cu metallogeny from the middle to late Eocene coincided with, or were slightly preceded by, the onset of regional uplift and crustal thickening, triggered by the India-Asia hard collision and rapid deceleration of the India-Asia convergence rate at ca. 50 to 44 Ma. Crustal thickening may have caused prolonged magma differentiation at greater depths and accumulation of dissolved H2O, both of which contributed to amphibole-dominated fractionation and generation of hydrous melt that are prospective for porphyry Cu mineralization. Our study highlights the importance of tectonic changes in the formation of the Yulong and other postsubduction porphyry Cu belts—a scenario similar to that operated in subduction-related settings such as the Andes.