bluuebunny/crossref_metadata_2025 huggingface dataset:
A (IN)EFICIÊNCIA DA COBRANÇA DA DÍVIDA ATIVA -
Authors: Bagas dos Reis Ubiratan , Mollica Rogério
Published: October 2024

O presente estudo visa analisar a utilização de meios alternativos de cobrança do crédito tributário como instrumentos aptos a diminuir o número de execuções fiscais que, segundo os números do Conselho Nacional de Justiça (CNJ), seriam o gargalho e o grande desafio do Poder Judiciário para atingir a eficiência na prestação jurisdicional. Far-se-á, ao longo do trabalho, confrontações entre os entendimentos doutrinários aplicáveis e aplicados às execuções fiscais tendo como referencial os paradigmas da Escola Austríaca de Economia. Inicia-se com a contextualização história (1980 a 2019) da dificuldade de cobrança da dívida fiscal, a começar pela Exposição de Motivos nº 223 até os números divulgados pelo CNJ - Justiça em Número 2020. Adentra-se a análise de meios alternativos para auferir o crédito tributário, em especial o Negócio Jurídico Processual (NJP), enfatizando a possibilidade de realização pela Procuradoria Geral da Fazenda Nacional e as medidas coercitivas atípicas analisando a razoabilidade de sua aplicação no âmbito da execução fiscal. A eventual aplicação destas e de outras inovações de cobrança será confrontada com conceitos adotados pelos economistas austríacos, mormente a teoria da ação humana e a ideia ou concepção da informação (criatividade empresarial), inclusive como elemento estratégico concorrencial. O trabalho será pautado no método dedutivo, pesquisa qualitativa e obras e artigos científicos sobre o tema em questão, sendo possível concluir que a aplicação de meios alternativos de cobrança do crédito tributário se apresenta como solução paliativa que não servirá para resolver o congestionamento de processos executivos, pois além de outros elementos políticos, vislumbra-se a possibilidade de mimetização da postura e das condutas do devedor tributário como  forma de retardamento do adimplemento do crédito tributário.
RELATIVIZAÇÃO DA COISA JULGADA E (IM)POSSIBILIDADE DE MODULAÇÃO DE EFEITOS NO LEADING CASE CONSTANTE DO JULGAMENTO DO RECURSO EXTRAORDINÁRIO Nº 574.706/PR
Authors: Reboucas Bruno , Dalcin Orlando Frutuoso
Published: October 2024

A coisa julgada pode ser desconsiderada ou relevada, dependendo de circunstâncias processuais e da condução dos processos pelos tribunais, especialmente nos casos de decisões com modulação de efeitos pelo Supremo Tribunal Federal, e as consequências que podem haver para terceiros, inclusive nos casos com efeitos erga omnes. O objeto do presente trabalho é mensurar tal repercussão sobre os processos de certa forma vinculados ao do julgamento do Recurso Extraordinário nº 574.706/PR.
O MANDADO DE SEGURANÇA PARA DECLARAÇÃO DO DIREITO À COMPENSAÇÃO E A CONTROVÉRSIA EM TORNO DO VALOR DA CAUSA
Authors: Melo Álisson José Maia , Fortaleza Felipe de Abreu
Published: October 2024

O presente artigo busca analisar o valor da causa atribuível a mandados de segurança em matéria tributária, voltados à declaração do direito a compensar créditos. Propõe-se que o conceito de proveito econômico, que determina o valor da causa, deve ser interpretado de forma a excluir de seu sentido as repercussões econômicas indiretas e mediatas. Analisando-se os mandados de segurança em matéria tributária, conclui-se que estes podem gerar dois tipos de declaração de direito a compensar créditos: declarações genéricas ou declarações específicas. Ao contrário das declarações específicas, as declarações genéricas não causam proveito econômico direto. Por fim, demonstra-se que diversos Tribunais, em particular os Tribunais Regionais Federais, não observam a diferença entre pedidos genéricos e específicos de declaração, exigindo mensuração do proveito econômico em ambos. Propõe-se que esta inobservância é deliberada, originando-se do interesse patrimonial e de desprezo a princípios da tributação no momento de determinação da incidência de custas processuais. A metodologia utilizada é de pesquisa doutrinária e jurisprudencial.
O FIM DO VOTO DE QUALIDADE NO CARF E OS REFLEXOS NO CONTENCIOSO TRIBUTÁRIO
Authors: Frota Parente Arrais de Moura Aline , Grandis da Silva Renam , Mendes Soares Guilherme
Published: October 2024

O presente artigo se destina a analisar as alterações trazidas pela Lei nº 13.988/2020 no Decreto nº 70.235/1972, em especial no que se refere ao fim do voto de qualidade e os seus impactos no contencioso administrativo e judicial. Para tanto, estudamos a origem do voto de qualidade para entendermos os reflexos do instituto até o seu fim com a publicação da Lei em comento. Também avaliamos os argumentos existentes nas ações diretas de inconstitucionalidade que atualmente discutem a nova regra implementada pela Lei nº 13.988/2020, bem como os possíveis impactos decorrentes de decisão do Supremo Tribunal Federal sobre o tema.
‘The exciting AI adventure’: reflections on the ethical use of generative AI in academic writing
Authors: Lee-Price Simon
Published: October 2024

Generative AI is rapidly and radically changing reading and writing practices and compelling HEIs to adopt new strategies for promoting academic integrity and incorporating emergent literacy-enhancing technologies into curriculum delivery. In his presentation, Lee-Price critically reflected on two academic writing workshops intended to develop undergraduates’ understanding of academic integrity and demonstrate a constructive and critical use of AI in academic work. The workshops were designed with the aid of ChatGPT, with one of them incorporating a paraphrasing activity using QuillBot.
Lee-Price explored how practitioners can work with AI in a way that embraces ALDinHE’s (2023) five values of Learning Development: in particular, supporting staff and students to ‘make sense of’ HE and foster ‘critical pedagogy’. In his analysis of the design and delivery of the workshops, Lee-Price adopted an academic literacies approach that encourages ‘alternative ways of meaning making in academia […] by considering the resources that (student) writers bring to the academy’ (Lillis and Scott, 2007, p.13). He also drew on the concept of ‘slow reading’, which resists an emphasis on efficiency and the associated view of reading as information extraction, promoting instead ‘an ethical relation of openness with the otherness, ambiguity and strangeness of the text, and how this openness to intensity and intimacy can be transformative’ (Walker, 2017, p.xx). Themes explored included co-creation, lived experience, and ethical responsibility. Lee-Price proposed that Learning Developers should proactively support their institutions in engaging innovatively with the practical, pedagogical, and ethical challenges (and opportunities!) arising from AI.
Active listening for effective student engagement
Authors: Newton Angela
Published: October 2024

Active listening can play a key and positive role in our relationships with others (Wolvin and Coakley, 2000; Bodie, 2011; Ellis and Abbot, 2018). When we fail to listen, we risk a lack of trust, empathy and insight; all crucial in effective communication. Whilst a lot of literature focuses on how active listening benefits students who use it, there is less understanding of the role of learning developers and the value of their actively listening to students (Canpolat et al., 2015; Shernof, et al., 2017; Eggenburger, 2021). Active listening by learning developers is, I would argue, vital in order to properly engage with and understand students. Utilising active listening in for example, 1-2-1 situations, may give students more confidence to express themselves and improve their relationship with and perception of their educational experience (Locktie, 2018). True active listening requires the listener to tune into the words of another person and suspend their assumptions (Lipari, 2010); embracing ‘listening being’ in our learning development practice may create a more positive student experience by building a person-centred atmosphere (Lipari, 2010). With discussions around the importance of developing a ‘sense of belonging’ in students gaining traction even before the COVID-19 pandemic, active listening deserves more attention. Moreover, in the context of high workloads and the increasing pressures of our higher education system, active listening is a neglected area of personal and professional development (Wolvin and Coakley, 2012). In this workshop, participants discussed how active listening can enhance their interactions with students whether online or in person. We refined our skills through practical, reflective activities, with a focus on the issues that impede our ability to listen and how we can improve. We also considered how listening feels from different perspectives and what kinds of behaviours we expect from a listener.
How are Learning Developers engaging with artificial intelligence?
Authors: Coulson Kate
Published: October 2024

In recent years, Generative Artificial Intelligence (Gen AI) has become the topic of debate within higher education generally, within institutions (their official response and approach), within subject areas (how to utilise within subject teaching) and within the professional sphere of Learning Development. In the summer of 2023, an Association for Learning Development in Higher Education (ALDinHE) Community of Practice was established, and now, it has over 200 members from the UK, Europe, North America, Australia, and New Zealand. This group meets monthly to discuss all aspects of Gen AI, and this mini keynote will share how Learning Developers are engaging (or not) with Gen AI. The session will be open and friendly. Designed to enable colleagues to discuss their challenges, avoidance or how they embrace AI within their practice.
 
Prompt Questions
1)        Are you engaging with Artificial Intelligence (AI)? If so, how? If not, why not?
2)        Should Learning Developers be engaging with AI? If so, how?
3)        What could ALDinHE do to support your (potential) engagement with AI?
Designing values-based Learning Development spaces
Authors: Nicolls Barbara Anne
Published: October 2024

Learning Development is emerging as a transformative force in the constantly evolving landscape of Higher Education (HE) requiring LD to adapt to the technological, cultural and pedagogical changes while embracing cultural diversity and weaving values into their pedagogical practices in the physical and virtual spaces that are available to them. Learning spaces play a crucial role in education, impacting student engagement, comfort and overall learning outcomes and therefore, it is crucial for LD to thoughtfully design diverse spaces for “Working in partnership with students and staff to make sense and get the most out of HE” one of ALDinHE’s (2024) Five Values of Learning Development and “promote engagement in learning and equity of opportunity for all to reach their potential” (PSF 2023).
 
The poster illustrates how the campus-based LD office and ClassCollaborate for 1:1 and group tutorials in one UKHEI were intentionally designed to develop agentic, empowered learners who engage in meaningful conversations with the tutor and/or their peers, co-construct knowledge and navigate HE through respectful dialogue to make sense of their academic journey, thrive and achieve their goals. These dynamic, sustainable spaces are underpinned by Vygotsky's Social Constructivism (1978) and Laurillard's Conversational Framework (2002) demonstrating Teaching Presence (TP) and Social Presence (SP) fostering critical thinking essential for learning and Cognitive Presence (CP). 
 
LD spaces where TP, SP and CP, the interrelated elements of Garrison, Anderson, and Archer’s (2001) Community of Inquiry (CoI) theoretical framework interact, are inclusive places for creating deep and meaningful (collaborative-constructivist) learning experiences taking into account diverse learning needs including social justice issues. 
 
It is noteworthy that spaces influence how learning developers facilitate learning and how students learn on a case by case basis and the CoI can be a blueprint for designing future physical and virtual spaces for LD promotion.
Using text-scrolling to increase student engagement in the STEM classroom: a collaboration
Authors: Beck Suzy , Eyley Jenny
Published: October 2024

The benefits of using active-learning approaches to increase student engagement and participation in the HE classroom are well known (Allsop et al., 2020). In STEM disciplines specifically, active-learning approaches can contribute to a reduction in achievement gaps for underrepresented students by promoting self-efficacy and a sense of belonging (Kovarik, Robinson and Wenzel, 2022). Despite these benefits, academics in those disciplines may be reluctant to adopt active learning for reasons such as lack of familiarity or more time spent in traditional, lecture-style delivery (Arnaud, 2021).
This presentation reported on the outcome of a small-scale pedagogical innovation in one tutorial of a first-year undergraduate theory module in Chemistry. The aim was to increase students’ classroom engagement in the tutorial by using a text-mapping activity with scrolled research papers (Abegglen et al., 2019), with the additional benefit of introducing tutors to this active-learning technique. The transcript of a professional conversation between a Chemistry lecturer and Learning Developer discussing the approach along with slides outlining a typical session were circulated to tutors a week prior to the timetabled tutorial.
Qualitative feedback from tutors was presented to indicate the success of the text-mapping activity as a way of increasing student engagement in the tutorial. Insights were also gained about tutors’ own perceptions of pedagogical value and confidence in adopting such approaches in future. Implications were presented for how the first-year tutorials might be redesigned to include more active learning, as well as how Learning Developers can work in collaboration with academic colleagues in STEM programmes.
Where’s the fun in that? Building an authentic, inclusive, serious-yet-playful learning development framework
Authors: MacDonald Alexander , Gibson-Green Fiona , Fleeting Caroline , Boyd Vic
Published: October 2024

At the University of the West of Scotland, one of the ways in which first year students engage in exploring academic, personal, and professional literacies is through an embedded and contextualised credit-bearing module that runs alongside subject specific study. The module offers students opportunities to explore aspects of identity, values, and motivations as part of long, thin, scaffolded engagement running over two terms, and provides a mutable space for student-led discussion on a breadth of aspects of longitudinal transition support, becoming, as well, a space to engage with learning development principles and practices. In so doing, learning experiences within the module are at once guided and exploratory, presenting a risky safe space (Boyd, Wilson and Smith, 2023) for students to use in their transition towards increased autonomy and confidence.
This session considered how the flexibility of the learning and teaching spaces created in the module (physical and virtual) allows for both reinforcement of formal structures/ requirements such as assessment processes (the serious part) as well as the freedom to negotiate personalised, aspirational, agentic, experimental learning experiences (more playfully intended). The session shared examples of classroom activities and presented learner feedback. Delegates were invited to share reflection on their own experiences of designing and delivering similar experiences and contribute to a fuller understanding of the value of maintaining balance within the serious-play spectrum.
Building inclusive Learning Development spaces ‘…but we don’t have time for universal design’
Authors: Read Alexandra
Published: October 2024

This project sets out to convert a Continuous Professional Development (CPD) workshop on Dyslexia awareness into a series of mini asynchronous learning experiences. The aim is that learning and teaching staff will access the short asynchronous activities by scanning a Quick Response (QR) code; these activities will provide a brief insight into relevant examples of neurodiverse experiences, followed by tips on changes to professional practice that can embed inclusive and universal design.
Universal Design for Learning (UDL) is an ethos that we all strive for in our various roles in learning development; It embraces the principles of the social model of disability, which the Office of Students (2019) states ‘is not about “fixing” the individual but about restructuring environments and attitudes around them’. As highlighted by Dettmer and Welton (2024, p.62) the learning community seeks to promote the social model of disability when promoting inclusive learning environments.
Stripe and Ntonia’s article on implementing change for inclusive teaching (2023) highlights that the challenges faced include lack of time for staff CPD, negative attitudes towards reasonable adjustments, and mindsets that are not conducive to inclusivity. These factors are sector wide; time is precious for many learning and teaching staff, and attending CPD workshops, particularly when it means adding to an existing heavy workload, are not typically at the top of priority lists. However, as proposed, engaging in a 30-60 second asynchronous activity, might lead to some ‘quick wins’ for the adoption of universal design principles.
The proposed short asynchronous activities discussed here are based on experiences of neurodiverse learners when faced with non-inclusive environments, and provide strategies that can be immediately implemented. It is hoped that by scanning a QR code and engaging in learning experiences ‘on the go’, this approach will encourage staff to see that inclusive and universal design can start with small changes and have a fundamental impact on students’ learning experiences.
PERAN BK DAN PAI DALAM MEMBENTUK KEMANDIRIAN BELAJAR ANAK DIDIK DI SEKOLAH
Authors: R Nurhayati  , SITTI SATRIANI IS  , Mulkiyan  , Taufiqurrahman
Published: October 2024

Penelitian ini bertujuan untuk mengeksplorasi bimbingan konseling Pendidikan Agama Islam (PAI) sebagai solusi kemandirian belajar anak didik di lingkungan Sekolah. Penelitian ini melibatkan analisis terhadap sejumlah penelitian terkini yang membahas aspek-aspek kritis dalam bimbingan konseling PAI dan dampaknya terhadap perkembangan kemandirian belajar anak didik. Faktor-faktor seperti motivasi intrinsik, pemahaman konsep Agama, dan penerapan nilai-nilai moral dalam bimbingan konseling PAI akan dievaluasi dalam konteks meningkatkan kemandirian belajar. Metode penelitian yang digunakan adalah observasi kepada sekitar analisis berbasis pustaka atau library-based qualitative research yang mengacu pada jenis penelitian yang menggunakan sumber-sumber tertulis sebagai basis utama untuk mengumpulkan dan menganalisis data terkait dengan bimbingan konseling PAI sebagai solusi kemandirian belajar anak didik di lingkungan Sekolah.  Hasil dari penelitian ini menunjukkan bahwa bimbingan konseling PAI adalah solusi dalam mewujudkan kemadirian belajar anak didik di Sekolah karena bimbingan konseling membantu anak didik dalam memecahkan masalahnya dan membantu anak didik untuk menemukan jati diri dan mampu membuat anak didik untuk terus berpikir positif di setiap dalam setiap tindakannya. Implikasi praktis dari temuan ini diharapkan dapat memberikan panduan bagi para konselor, guru, dan pembuat kebijakan pendidikan untuk lebih memahami dan menerapkan strategi bimbingan konseling PAI yang dapat memberikan dampak positif terhadap pengembangan kemandirian belajar anak didik di Sekolah.
MENGEMBANGKAN KREATIVITAS DAN KEMAMPUAN MENGGAMBAR PADA ANAK DOWN SYNDROME MELALUI TEKNIK MELENGKAPI GAMBAR
Authors: Andi Purnawan Putra  , Bagus Bagus Mahardika
Published: October 2024

The ability to draw is the initial stage for children to express themselves and their emotions through various media. For children, drawing is the most enjoyable thing, but unfortunately children with special needs find this activity difficult to do, even just imitating the shape of objects, it is very difficult to imitate. This research aims to increase motivation and drawing skills in children with special needs through drawing completion techniques. Data collection techniques use observation, interviews and documentation. Data analysis uses data reduction, data presentation, and verification/drawing conclusions. Test the validity of the data using source triangulation and technical triangulation. The results of the research show that the technique of completing drawings can increase the motivation and drawing ability of children with Down syndrome, such as having high interest, honing skills and perseverance, developing the child's personality, and can be a means of therapeutic modality for children's mental health
Kedudukan Ine Ame dalam Upacara Adat Pemakaman di Desa Bareng Kecamatan Buyasuri Kabupaten Lembata: Studi Fenomenalogi dan Hukum Islam
Authors: Umi Kalsum  , Jakaria M. Sali  , Rahma Pramudya Nawang Sari  , Nurhayati Natonis
Published: October 2024

The traditional funeral ceremony involving ine ame is a funeral system that is still maintained and preserved. funeral system that is still maintained and continues to be preserved. In connection with this, the actions taken are real actions that are a form of respect for the deceased and his family. In Islamic law, the funeral process has been properly regulated such as informing the news of grief, bathing, shrouding, praying, burying.  This research is an attempt to find out more about the traditional funeral ceremony found in the kedang community in bareng village, buyasuri sub-district, lembata district. This research uses a field research method with a qualitative descriptive approach. this research produces (1). The implementation process begins with informing the Ine Ame party, negotiating the ine ame party, luggage or kahalar, discussing customary fines such as Ote', belis, the attitude of the family, and finally reciprocity in the form of Atabelake. (2). The view of Islamic law regarding traditional funeral ceremonies This is a form of ceremony that can be said to be contrary to the provisions of Islamic law.  Thus, it can be concluded that the traditional funeral ceremony in village of bareng, buyasuri sub-district, lembata district is contrary to Islamic law.
Politik Hukum Sistem Pemilihan Umum Presiden dan Wakil Presiden dalam Perspektif Pancasila
Authors: Adnan Taufiq  , Didik Suhariyanto  , Ismail
Published: October 2024

The research objectives in this thesis are based on the two problem formulations raised, namely as follows: To find out and study the Presidential and Vice Presidential Election system based on Law Number 7 of 2017 concerning General Elections. To find out and study the Legal Politics of the President and Vice President in Indonesia based on Law Number 7 of 2017 concerning General Elections, viewed from the Pancasila Perspective. The research method used is normative juridical legal research. The results of the research and discussion are as follows: First, the direct and indirect Presidential election system emerged due to a misinterpretation of the 4th principle of Pancasila which reads "the people are led by wisdom in deliberation/representation". Second, the legal politics of a statutory norm fall into the category of open legal policy, so according to the Constitutional Court this norm is in an area of constitutional value with the 1945 Constitution. The concept of open legal policy itself was first used by the Constitutional Court. In its considerations, the Constitutional Court was of the opinion that such a policy choice is the right of the legislator and is protected by the constitution.
Ratio Decidendi Penjatuhan Putusan Bebas (VRIJSPRAAK) Dalam Pemalsuan Akta Otentik Oleh Notaris: Studi Putusan Nomor: 1216/Pid.B/2019/PN Jkt.Tim
Authors: Zhafira Amalia Irfanti
Published: October 2024

Corruption is an extraordinary crime that causes state losses. Corruption is not only committed by individuals, but also by corporations. Problems that often arise in criminal acts of corruption committed by corporations are related to procedural law, especially related to proving corporate wrongdoing. In this regard, the author is interested in analyzing the evidence related to corruption committed by corporations in Decision No. 81/Pid.Sus/Tipikor/2018/PN.Jkt.Pst. This study discusses the problem of proving corruption committed by corporations and the judge's legal considerations in imposing a sentence on the Defendant. This study uses a normative juridical approach withresearch specifications prescriptive. This study also uses secondary data obtained through literature and documentaries and described systematically. The results of the study indicate that the criminal acts of corruption committed by corporations in Decision Number: 81/Pid.Sus/Tipikor/2018/PN.Jkt. evidenced by the suitability of evidence in the form of witness statements, expert statements, letters and statements from the defendant which proves that the defendant has fulfilled all the elements in the First Indictment, so that it has met the minimum limit of evidence, namely at least two valid pieces of evidence, the judge's conviction is obtained. that the defendant PT NKE was guilty of a criminal act of corruption. The basis for the judge's legal considerations is by taking into account the elements of the Articles of the First Indictment that have been fulfilled, namely by fulfilling the minimum limit of evidence and obtaining the judge's conviction, for which the Panel of Judges imposes a criminal sentence in the form of a principal penalty in the form of a fine and additional punishment in the form of payment of replacement money and the revocation of the defendant's rights to participate in the auction of government goods/services procurement.
Assessment of Multigrid Schemes with Fixed Patterns for a Two-Dimensional Heat Transfer Problem
Authors: Tekçe Mustafa Serdar , Güleren Kürşad Melih
Published: October 2024

Heat transfer problems and their solutions are of critical importance in almost all areas of engineering and technology, while many real-world problems are inherently three-dimensional. Simplifying them to 2D models offers practical advantages with reasonable models. With being the fundamental class of problem of heat transfer, the 2D thermal diffusion problem was selected for the study. Multigrid methods were referred to as standing out in terms of cost reduction while keeping solution accuracy. The effectiveness of multigrid methods employing fixed pattern schemes was subject to investigation. To set up numerical experimentation, an authentic code generation effort was given that implements a basic finite volume method, intergrid operations and iterative solvers. A reference case with an analytical Laplace solution was selected and properly validated by the results. A variety of multigrid schemes with fixed patterns were explored around parameters, iterations per sweep and maximum coarsening level. Results were compiled on the focal points of cost and performance. A comparison of the direct iterative methods with multigrid schemes proved the effectiveness of multigrid schemes. With the assessment of the cost and performance outcomes, it is concluded that any multigrid scheme should visit the maximum coarsest level possible while keeping a minimum number of iterations on each grid resolution.
EXPERIMENTAL INVESTIGATION OF EFFECTS OF NANOREFRIGERANTS ON VAPOR COMPRESSION REFRIGERATION SYSTEM USING R1234yf INSTEAD OF R134a
Authors: Bilen Kemal , Dağıdır Kayhan , Arcaklıoğlu Erol
Published: October 2024

In this study, the usage of refrigerant R1234yf was experimentally investigated with the addition of various nanoparticles instead of R134a as a working fluid in a VCRS. Firstly, the usage of pure R1234yf instead of R134a was experimentally investigated with energy and exergy approaches without any modification in the VCRS. As a result of pure refrigerant experiments, it was determined that the compressor power input increased by around 9%, cooling capacity decreased by around 8% and EER decreased by around 17% in the system using R1234yf compared to the system using R134a. Additionally, it was determined that the second law efficiency of the VCRS reduced by around 8% in the system using R1234yf compared to the system using R134a. Then, Al2O3, graphene or CNT nanoparticles were added for compensate for performance drops to the VCRS using R1234yf via compressor oil at various mass fractions. Thus, the best enhancement in the system performance parameters was obtained with the usage of R1234yf including 0.250% graphene by mass. Accordingly, it was observed that the cooling capacity of the system with R1234yf including 0.250% graphene by mass was improved up to 24% and 14% compared to the VCRS with pure R1234yf and R134a, respectively. Consequently, the EER value of the VCRS with R1234yf including 0.250% graphene by mass was enhanced up to 32% and 13% compared to the system using pure R1234yf and R134a, respectively. Additionally, the second law efficiency of the system slightly increased with the usage of R1234yf including 0.250% graphene by mass.
Increasing Student Interest in Learning through the Implementation of the K-Nearest Neighbor Algorithm in Classifying Learning Preferences at SMAN 1 Kraksaan
Authors: Jasri Moh. , Rahmadan Ilham , Shudiq Wali Ja'far
Published: October 2024

This research examines the effectiveness of implementing the K-Nearest Neighbor (KNN) algorithm in classifying student learning preferences and its impact on increasing interest in learning at SMAN 1 Kraksaan. The main aim of the research is to optimize learning methods through personalization based on individual student preferences. The study involved 560 students of SMAN 1 Kraksaan, with data including variables of age, gender, academic grades, daily study time, attendance and participation in class. The KNN algorithm is used to classify students' learning preferences into visual, auditory, kinesthetic, and reading/writing categories. The learning method is then adjusted based on the results of this classification. The results show that the KNN algorithm is able to classify student learning preferences with an accuracy of 80.36%. After implementing personalized learning methods, there was a significant increase in students' interest in learning, with an average increase of 1.76 points on a 10-point scale. Paired t-test analysis showed a statistically significant difference between interest in learning before and after intervention (p < 0.0001). This research concludes that the implementation of the KNN algorithm in classifying learning preferences can help increase students' interest in learning effectively. These findings emphasize the importance of personalization in education and demonstrate the potential of integrating machine learning in the pedagogical process to improve learning outcomes.
ROC and COPRAS Algorithms in a Decision Support System for Employee Career Assessment
Authors: Ritonga Fazrul Umri , Fakhriza M. , Harahap Aninda Muliani
Published: October 2024

PT. Union Confectionery, a long-established company in the confectionery production industry, had encountered significant challenges in managing employee career progression, including transfers, demotions, and promotions. The primary issue faced was the difficulty in conducting objective employee performance assessments and determining the appropriate criteria for career development. These assessments involved various complex factors such as work experience, discipline, education level, age, job performance, attendance, teamwork, and work ethics. To address these challenges, this study proposed the implementation of a web-based Decision Support System (DSS) utilizing the Rank Order Centroid (ROC) method for criteria weighting and the Complex Proportional Assessment (COPRAS) method for ranking decisions. The implementation of this system was expected to assist the management of PT. Union Confectionery in making more accurate and transparent decisions, while also improving employee satisfaction and operational efficiency. This research also compared previous studies that used similar methods for performance assessment, albeit with a narrower focus, specifically at the supervisory level. The findings from this study were anticipated to provide a comprehensive and innovative solution for employee career management across all levels of PT. Union Confectionery’s organization, as well as contribute to the development of more effective human resource management practices.
Analysis Of Opinion Sentiment Towards Electric Vehicle Tax On Social Media X Using The Support Vector Machine (SVM) Method
Authors: Jusli Dara Taqa Assajidah , Kurniawan Rakhmat
Published: October 2024

Electric vehicle tax is increasingly becoming an important issue related to environmental and fiscal policies. Electric vehicles are considered an environmentally friendly solution to reduce greenhouse gas emissions and dependence on fossil fuels. However, public perception of electric vehicle tax is still mixed. This study aims to analyze public sentiment about electric vehicle tax based on data from social media platform X, using the Support Vector Machine (SVM) method. The data used was taken through a crawling technique with a total of 1,014 valid data. The data was then classified into positive and negative classes with a transformer. In this analysis, the data was divided with a ratio of 8:2 between training data and test data. 811 were used as training data and 203 as test data. The research stages involved data preprocessing, sentiment labeling, data separation into training and test data, and weighting using TF-IDF. After that, SVM was applied to classify tweets into positive and negative sentiments. The test results showed that the SVM algorithm had an accuracy of 79%, precision of 85%, recall of 89%, and F1-score of 87%. Based on the results of this study, some people feel unsure about the government's policy regarding electric vehicle tax, because it is considered unfair to the lower middle class. Electric vehicles are considered more expensive than fuel-powered vehicles, so this policy is considered unprofitable.
Use of QRCode and Digital Signature Using The DSA Method to Authenticate Student Academic Documents
Authors: Suhardi Suhardi
Published: October 2024

Verification of digital documents is no longer done conventionally but is also done digitally, such as signatures on documents. A signature is a means of authentic evidence as well as proving a person's identity, is a means of proving the authenticity or validity of an agreement or approval for something in a document issued by two or more parties so that it can be used as a solution to verify the integrity of valid data in a document. Application of signatures Digital is also commonly used at the North Sumatra Islamic University (UINSU) Medan, especially in student study documents. Even though UINSU Medan has implemented digital signatures, this application is still a signature image obtained through scanning or photos and manually inserted into a document so that other people can easily reuse the signature image and it can even be misused. To facilitate the digital signature process, the code generated from the signature formation process is entered into a QR code so that it is easy to use to carry out the electronic document authentication process. Researchers will use QR codes and digital signatures to authenticate student documents using the DSA method. This research will be implemented into an application model with PHP and MySQL programming. The student document authentication application model using the DSA method works well as evidenced by the QRCode which contains document token information which is different for each document so that it cannot be duplicated by non-owners of the document.
Analysis of the Selection of the Best Household Ceramics Using the Complex Proportional Assessment (COPRAS) Method
Authors: Apriza Muhammad Amizaeni , Cipta Hendra
Published: October 2024

Rapid advances in communication and information technology due to globalization have had a significant impact on a number of industries, including the industrial sector. The industry is taking great advantage of the capabilities of this technology to search, store, distribute and present information. The ceramic sector in Indonesia looks increasingly promising every year. One type of building material that functions to cover the floor and beautify its appearance is ceramic. When choosing ceramics, consumers become confused because of the availability of various brands (vendors) with different themes and quality. When deciding on product quality, a decision support system can be implemented to offer a structured evaluation that assists stakeholders in the business and consumers in assessing high-quality ceramic options. DSS The complex proportional assessment method, or COPRAS, is used in system design. In improving the accuracy and efficiency of decision making, the COPRAS approach can evaluate several options and estimate them based on their utility level when attribute values ??are expressed in intervals. Based on the findings of this research, the application of the COPRAS method in the decision-making process to determine the best household ceramics can be used in selecting the best household ceramics by collecting data on ceramic criteria and the alternative used is the type of ceramic. The weights obtained for each criterion are then normalized which are then used to determine the Ui for each alternative, so that based on the results of this research the best household ceramics are obtained, namely Redhorse type ceramics with a Ui value of 100%, Fortuna type with a Ui value of 99.27%. , Prato type with a Ui value of 98.82%, Crystal type with a Ui value of 98.71%, Mulia type with a Ui value of 88.50%, Vancouver type with a Ui value of 88.24%, Murano type with a Ui value of 84.97% and the Virginia type with a Ui value of 79.77%.
Application Of The Weighted Product (WP) Method In The Selection Of Prospective New Employees Using Assessment Indicators At PT. Delta Sukses Sejahtera
Authors: Rizky Aldi , Cipta Hendra
Published: October 2024

In running its business, the success of a company is largely determined by the quality of its employees. To obtain quality employees who meet the required qualifications, companies must carry out a selection process in recruiting qualified new employee candidates. PT. Delta Sukses Sejahtera is a private company that operates in the field of recruitment services. This recruitment service serves companies by taking over the job of recruiting candidates. Each assessment is taken into account and considered according to the company's needs. So far, the selection process for prospective employees has experienced difficulties because they are still comparing the test results of prospective employees one by one to determine potential new employees. This process takes a long time. Apart from that, the old employee selection system created an element of subjective assessment. So it is necessary to build a decision support system using the Weighted Product (WP) method as an alternative solution, so that it runs effectively and reduces the occurrence of subjective assessments. Weighted Product (WP) is a method in a decision making system that connects attribute ratings using a multiplication technique, where the rating for each attribute needs to be raised to the power of the relevant attribute weight before calculation, this process is similar to the normalization stage. Based on the results of this research, it shows that from the five orders of candidates for recruiting new employees, it can be seen that the scores obtained by each prospective new employee are not too far apart from first to fifth. In the first and fifth places, they have similarities in the final psychological and educational criteria. Where the first and fifth psychological test criteria have almost perfect scores.
Analysis of Drug Sales Patterns in the Belawan Naval Hospital Pharmacy Using Apriori Algorithm
Authors: Bahari Mhd Raja Doly , Kurniawan Rakhmat
Published: October 2024

Hospital pharmacy plays an important role in ensuring drug availability and effective stock management. With the increasing number of drug redemptions, manual data management becomes inefficient and can lead to understocking or overstocking. Therefore, a method is needed that is able to automatically analyze drug sales patterns to improve stock management efficiency. One approach that can be used is the Apriori algorithm, an effective data mining technique for finding patterns in drug redemptions. This study aims to analyze drug redemption patterns at the Belawan Navy Hospital Pharmacy using the Apriori algorithm. The data used is drug redemption data. The Apriori algorithm is applied to find relationships between drug items that are often purchased together, so that it can provide useful insights in drug stock management. The results of the study showed that the Apriori algorithm successfully identified several significant drug redemption patterns. These patterns can be used to improve the efficiency of drug stock management and ensure timely drug availability, as well as reduce the risk of understocking or overstocking. The results of the study used logistic regression to predict discrete (binary) values from a column based on values from other columns and the accuracy obtained was 1.0 or 100%. This study concludes that the application of data mining with the Apriori algorithm can provide significant benefits in optimizing the management of drug stock redemption in hospital pharmacies.
Optimizing SMS Spam Detection Using Machine Learning: A Comparative Analysis of Ensemble and Traditional Classifiers
Authors: Airlangga Gregorius
Published: October 2024

With the rapid rise of mobile communication, Short Message Service (SMS) has become an essential platform for transmitting information. However, the growing volume of unsolicited and harmful spam messages presents significant challenges for both users and mobile network operators. This study explores the effectiveness of various machine learning models, including Random Forest, Gradient Boosting, AdaBoost, Support Vector Machine (SVM), Logistic Regression, and an Ensemble Voting Classifier, in detecting SMS spam. A dataset containing 5,572 SMS messages, labeled as either spam or ham (legitimate), was used to evaluate these models. Hyperparameter tuning was performed on each model to optimize accuracy, and the models were assessed using metrics such as precision, recall, F1-score, and accuracy. The results indicated that the SVM and Ensemble Voting Classifier achieved the highest performance, with accuracies of 0.9857 and 0.9848, respectively. Both models demonstrated superior recall for spam messages, making them highly effective for real-world spam detection systems. While Random Forest, Gradient Boosting, and AdaBoost also performed well, their slightly lower recall for spam suggests that they may misclassify some spam as legitimate messages. The study highlights the effectiveness of machine learning models in addressing the SMS spam problem, particularly when using ensemble methods. Future research should focus on addressing class imbalance and exploring deep learning approaches to further enhance model performance. These findings offer valuable insights for developing more accurate and scalable SMS spam detection systems.
Application of the Naive Bayes Method for Determining the Quality of Crude Palm Oil (CPO) at PTPN 2 Sawit Seberang
Authors: Prananda Dimas Raka , Furqan Mhd.
Published: October 2024

The palm oil industry is a vital pillar of Indonesia's economy, with Crude Palm Oil (CPO) as one of its leading commodities. The quality of CPO significantly impacts its competitiveness and market price internationally. PTPN 2 Sawit Seberang, as a prominent CPO processing company, faces challenges in consistently maintaining product quality. Key factors affecting CPO quality include moisture content, free fatty acids, and impurity levels, which are difficult to manage manually. To address these challenges, this study applies the Naive Bayes method as an efficient and fast classification tool for determining CPO quality. Naive Bayes was chosen for its simplicity in probability calculations and its ability to handle data classification with reasonable accuracy. The data used in this study include moisture content, free fatty acids, and impurity levels measured between February and June 2024. The data was split into training data (80%) and testing data (20%) and analyzed using RapidMiner software. The results show that the Naive Bayes method achieved an accuracy rate of 66.6%, with precision and recall values of 50% each. Although the accuracy could be improved, the application of this method has significantly enhanced the efficiency of determining CPO quality. Thus, the implementation of the Naive Bayes method in determining CPO quality at PTPN 2 Sawit Seberang is an effective step towards improving operational efficiency, classification accuracy, and decision-making quality related to product standards, ultimately supporting the company's competitiveness in the global market.
Naive Bayes Algorithm for Sentiment Analysis on Spider-Man Movie: No Way Home
Authors: Makarim Ziddan , Nawangsih Ismasari , Sanudin Sanudin
Published: October 2024

The rapid development of streaming platforms has significantly changed the landscape of movie consumption. The ease of access and social interaction in online communities has led to the creation of a new pop culture around movies. One interesting phenomenon is the movie Spider-Man: No Way Home, which sparked heated and viral conversations on various social media platforms. This research aims to analyze audience sentiment towards the movie Spider-Man: No Way Home using Naïve Bayes algorithm. Review data collected from online platforms was processed to identify positive and negative sentiments. The choice of Naïve Bayes algorithm is based on its efficiency and ability to classify text. The results showed that the model built was able to classify sentiment with an accuracy of 72.34%. The model is more effective in identifying positive reviews than negative, indicating a positive response from the majority of viewers. However, the model still needs to improve its performance in classifying negative sentiments. This research makes an important contribution in understanding audience preferences and evaluating the success of a movie, especially in the context of the digital era. The results can be utilized by the film industry to improve production quality, marketing strategies, and content development that is more relevant to audience preferences. In addition, this research also opens up opportunities for further development, such as the use of more complex algorithms or combining with other sentiment analysis techniques, as well as application to various types of social media content.
Evolution of Legal Systems in the Digital Era: An Analysis of Artificial Intelligence in E-Business
Authors: SÂRGHI Elena , ILEANA Marian
Published: October 2024

The paper examines the changes in the legal field brought about by digital technology, especially artificial intelligence. Focusing on how these changes have impacted the online business environment. The study wants to analyze how tools such as contract analysis algorithms, virtual legal assistance systems, and other solutions based on artificial intelligence bring new challenges to this field. At the same time, the article highlights the opportunities and challenges brought by these technological developments. Among the most important issues are data security, privacy, legal liability, and how traditional legal systems adapt to new digital requirements. It also examines how legal professionals are prepared to adapt to the changes brought about by the growth of e-commerce. The analysis shows how well artificial intelligence can ease legal processes specific to e-commerce. Access to justice and the costs and time needed to resolve disputes can be significantly reduced with the help of new technologies. The article helps to understand how changes in legal systems are directly influenced by the digitization of the online commerce environment.