bluuebunny/crossref_metadata_2025 huggingface dataset:
Developing the Theory of Toxic Chemotherapeutic Nutrition for Cancer Cells and Targeting Tumors via Glucose Mutation: Medical Guidance and Integrated Therapeutic Approach
Authors: Akl Maher M. , Ahmed Amr
Published: January 2024

Cancer is a complex genetic disease characterized by aberrant cellular behaviors, including uncontrolled growth, invasion, and metastasis. The development of personalized treatment strategies based on genomic profiling has led to improved outcomes. Recent scientific endeavors have focused on targeting cancer through metabolic approaches, capitalizing on the altered metabolic pathways in cancer cells. Glucosodiene polymer, a newly derived compound from glucose, has shown promising results in inhibiting glucose metabolism and modifying the tumor's microenvironment acidity. The Maher Akl Theory "Glucose Mutation" proposes a strategic approach to target cancerous tumors by inhibiting glucose metabolism and altering the tumor's microenvironment acidity using glucose isomer polymers. The goal is to disrupt the metabolic activity of the tumor and potentially modify and control the disease. This manuscript provides an overview of the metabolic vulnerabilities of cancer cells, evaluates the synthesis and chemical structure of glucosodiene, documents its safety, and explores its potential as a targeted therapy for cancer treatment. Additionally, a subset of successful clinical trials is presented, focusing on a case of successful treatment of triple-negative breast cancer (TNBC) with glucosodiene, and Medical Guidance and Integrated Therapeutic Approach: The Protocol of Glucose Mutation Theory via Glucosodiene and indication of Positive Tumor Lysis Syndrome "The potential mechanisms of action of glucosodiene in cancer, including its impact on glucose metabolism, modulation of signaling pathways, and immune-enhancing effects, are discussed.
Faktor Status Gizi Ibu Hamil di Puskesmas Selayang II
Authors: Diana Diana , Ginting Kalvin
Published: January 2024

Ibu hamil memiliki kebutuhan makanan yang berbeda dengan ibu yang tidak hamil karena ada janin yang tumbuh di rahimnya. Pada Bulan September 2020 di Puskesmas Selayang II jumlah ibu hamil sebanyak 2.032 orang dan 413 orang di antaranya mengalami risiko tinggi atau yang mempunyai komplikasi pada kehamilan. Dari 413 orang ibu hamil yang mengalami risiko tinggi atau komplikasi pada kehamilan tersebut, yang ditangani oleh tenaga kesehatan pada bulan Agustus adalah 30 orang dan pada bulan September adalah 28 orang. Berdasarkan data yang diperoleh tujuan penelitian ini ingin mengetahui faktor-faktor yang berhubungan dengan status gizi ibu hamil di Puskesmas Selayang II Kota Medan Tahun 2020. Jenis penelitian menggunakan analitik dengan pendekatan cross sectional. Populasi adalah ibu hamil yang terdata di Puskesmas Selayang II sebanyak 413 orang dan dihitung menggunakan rumus slovin dan teknik random sampling, sehingga didapatkan sampel sebanyak 81 orang. Analisa data dilakukan dengan analisis univariat dan bivariat dengan uji-chi square. Hasil penelitian diketahui bahwa faktor umur, pendidikan, paritas, pengetahuan, dan asupan makanan memiliki nilai signifikan sebesar 0,000 atau < nilai ? = 0,05, sedangkan faktor pendapatan memiliki nilai 0,003 dan anemia memiliki nilai 0,001. Kesimpulan yang didapatkan yakni faktor umur ibu, pendidikan, pendapatan keluarga, paritas, pengetahuan, anemia, dan asupan makanan terdapat hubungan dengan status gizi ibu hamil di Puskesmas Selayang II Kota Medan.
Ensino de contabilidade pública em IES da Região Norte do Brasil: adequação às diretrizes propostas pelo CFC e às NBCASP
Authors: Cardoso Rúbia Caetano , Correia Alessandra Martins
Published: January 2024

O objetivo deste estudo foi analisar o nível de conformidade entre os conteúdos de Contabilidade Pública constantes dos projetos pedagógicos dos cursos de graduação em Ciências Contábeis de Instituição de Ensino Superior da região Norte do Brasil com a proposta do Conselho Federal de Contabilidade e às Normas Brasileiras de Contabilidade Aplicadas ao Setor Público. A pesquisa foi de caráter descritivo e documental, foi revestida predominantemente de características quantitativas, pelo emprego de técnica de análise estatística. A amostra é formada de 33 Instituições de Ensino Superior localizadas nos estados da região Norte do Brasil. As análises de dados foram elaboradas em quadros, tabelas e gráficos, com base em técnica de estatística descritiva e avaliação de diferenças de médias com uso de análise de variância, por meio da Anova Fator Único. Os resultados indicam que as instituições atendem de forma não muito significativa os conteúdos do currículo do Conselho Federal de Contabilidade e os itens das Normas Brasileiras de Contabilidade Aplicada ao Setor Público. Com a proposta de formação pelo CFC os conteúdos de formação para o profissional passam a atender à teoria da contabilidade, e assim aumentar o domínio das atividades atuariais e quantificações de informações financeiras, é importante que os conteúdos de formação teórico-prática sejam contemplados durante o estágio curricular supervisionado, atividades complementares, portanto, o currículo mínimo para as Instituição de Ensino Superior, seriam o núcleo de matérias indispensáveis.
Biological activities and phytochemical prospection of plant extracts of Myrsine Umbellata mart
Authors: Canton Andressa Guarnieri , Laskoski Larissa Valéria , Bandeira Debora Marina , Rosset Jéssica , Feitosa Amanda Janaina Gonsatti , Pinto Fabiana Gisele da Silva
Published: January 2024

Myrsine umbellata is a Brazilian native species from the Primulaceae family, popularly known as “Capororocão.” Considering that plants have been used to treat various illnesses, explaining interest in research with Brazilian native species in the search for plant bioactives with biological potential that can act on the control of pathogenic microorganisms. Thus, the present study aimed to identify the phytochemical compounds of the leaves of the native species M. umbellata, as well as to evaluate the antimicrobial potential of Methanolic (ME), Acetonic (AE), Ethanolic (EE), and Hexanic (HE) plant extracts against bacteria of clinical and veterinary importance. The presence of secondary metabolites was analyzed by observing color changes or precipitate formation reactions, and the antimicrobial activity was determined by broth microdilution methodology. Through phytochemical prospecting, the presence of nine classes of metabolites was detected: tannins, saponins, free steroids, alkaloids, anthocyanins, anthocyanidins, flavones, flavonoids, and flavanonols. The extracts exhibited antimicrobial activity against all tested strains. ME showed the best MIC results for the standard strains. The most susceptible strains were gram-positive: Staphylococcus epidermidis and Enterococcus faecalis and gram-negative: Salmonella enterica Typhimurium, Pseudomonas aeruginosa, Proteus mirabilis besides the yeast Candida albicans. The results indicate that the species M. umbellata shows the potential for isolating natural bioactives and the potential development of products such as non-synthetic antimicrobials.
Colaboração premiada frente ao populismo judiciário
Authors: Monteiro Bárbara Souza Silva , Demercian Pedro Henrique
Published: January 2024

O presente artigo analisou o instituto da colaboração premiada e sua aplicação no combate ao crime organizado, demonstrando que as garantias individuais e os direitos constitucionais são mitigados para a eficácia da delação premiada no combate ao crime organizado. Para tanto, utilizou-se o método indutivo com caráter expositivo, em que apontou casos envolvendo o paradoxo entre a voluntariedade, requisito indispensável nas colaborações premiadas, e as prisões preventivas decretadas e cumpridas previamente ao acordo. Além disso, foram trazidos alguns apontamentos do Supremo Tribunal Federal e da Procuradoria Geral da República acerca da colaboração premiada e examinado o contexto histórico e político da implementação do instituto, demonstrando a evolução e o comparativo com o Direito Norte Americano e Italiano na utilização da colaboração premiada. Com isso, concluiu-se que a excessiva publicização dos atos judiciais e a relativização das garantias individuais e direitos constitucionais, o instituto da colaboração premiada acaba deturpado, sendo, portanto, o processo midiático juntamente com as delações premiadas o sustentáculo das investigações criminais.
ПСИХОЛОГІЧНА ХАРАКТЕРИСТИКА ОСОБИСТОСТІ ПОЛІТИЧНОГО ЛІДЕРА РІЗНИХ СОЦІОКУЛЬТУРНИХ СЕРЕДОВИЩ
Authors: Бліхар В’ячеслав Степанович
Published: January 2024

У статті проаналізовані окремі особистісні психологічні риси політичних лідерів, що уможливлюють політичну професійну діяльність та консолідацію суспільства навколо своєї особи, а також вплив типів їхніх реакцій на соціальні виклики. Здійснено теоретичне дослідження прояву особистісних психологічних особливостей політиків та їхніх ретрансляцій у суспільній діяльності, що проявляється крізь призму соціокультурного середовища. Також проведено аналіз особливостей соціокультурних регіонів, їхніх відмінностей у ставленні до суспільних змін у політичній сфері. Цей феномен розглядається як результат функціонування прояву лідером індивідуальних психологічних особливостей, адже традиції соціуму насамперед впливають на те, яким буде політичний лідер як особистість і як ці індивідуальні риси будуть проявлятись у контексті його соціальної відповідальності. Особлива увага звертається на особистість авторитарних лідерів, такий тип особистості є цікавим з точки зору психології через те, що уособлює собою не просто культурні традиції та правила політичної культури того чи іншого регіону і являє собою сукупність індивідуальних особливостей, що чітко сформувались на фоні певних соціальних потрясінь. Запропоновано модель розвинутих лідерських якостей, які мають бути притаманні політичному лідеру. Політична діяльність є специфічною, адже уособлює собою наявність у політика особливих індивідуальних акцентуацій характеру. Також особистість лідера є важливою насамперед через особливість цього статусу, що визначає за ним певні обов’язки, вузько спрямовану діяльність, що базується на здатності до розуміння потреб соціуму, певних його верств. Лідерство неможливе без суспільства, зважаючи на те, що в кожному соціумі обов’язково є лідер, хто уособлює високий рівень соціальної відповідальності, а також сприймається соціумом як сукупність певних рис, якими він повинен володіти. Цей принцип пояснюється колективним несвідомим, що розуміється як сприйняття лідера не як особистості з певними обов’язками, а як архетип, яким його сприймає соціум.
ПЕРСОНАЛІЗАЦІЯ В СУЧАСНОМУ МАРКЕТИНГУ ТА ЇЇ ВПЛИВ НА ЛОЯЛЬНІСТЬ КЛІЄНТІВ
Authors: Попко Олена , Філатов Вячеслав
Published: January 2024

Метою наукового дослідження є визначення сутності персоналізованого маркетингу та його впливу на рівень лояльності клієнтів. Окреслено особливості персоналізації як ключового елементу в створенні глибинного зв’язку між брендами та споживачами. Особливу увагу приділено маркетинговим стратегіям з управління лояльністю клієнтів. Представлено основні інструменти оцінювання ефективності персоналізації, які включають збір та аналіз даних клієнтів, розробку індивідуалізованих маркетингових стратегій, формування персоналізованих комерційних пропозицій, а також моніторинг їх впливу на рівень задоволеності клієнтів. Розглянуто важливість адаптації підходів до потреб споживачів, а також наголошено на стратегічному значенні інтеграції персоналізованих підходів у загальну маркетингову стратегію компанії.
БАНОШ – АВТЕНТИЧНА СТРАВА, ЯК РЕГІОНАЛЬНИЙ СЕГМЕНТ ЕТНО-ГАСТРОНОМІЧНОГО ТУРИЗМУ
Authors: Боратинський Олег , Паска Марія , Свищ Лілія
Published: January 2024

У статті розглянуто історичні аспекти формування автентичної страви – баношу, як регіонального сегменту етно-гастрономічного туризму, зокрема з врахуванням локальних продуктів. Здійснено аналіз сучасних закладів ресторанного господарства, де за певними технологіями готують банош, встановлено компонентний склад баношу відповідно до меню певних закладів ресторанного господарства: “Голодний Микола”, Ресторація “Бачевських”, Мережа Kumpel’ Group, Ресторан-музей “Сім Поросят”. Проаналізовано меню та виокремлено різновид баношу, для подальшої рекомендації туристичного маршруту. Результати проведених досліджень дозволяють зробити висновок популяризацію автентичних страв, які полягають у відродженні компонентного складу та відновлення технології приготування автентичних страв, і перспективою створення майбутніх туристичних етно-гастрономічних маршрутів.
ВІКОВІ ОСОБЛИВОСТІ ІНТЕЛЕКТУАЛЬНОГО СКЛАДНИКА ПСИХОЛОГІЧНОЇ ГОТОВНОСТІ УКРАЇНСЬКИХ ЗИМІВНИКІВ ДО ЖИТТЄДІЯЛЬНОСТІ В УМОВАХ АНТАРКТИКИ
Authors: МІРОШНИЧЕНКО Олена
Published: January 2024

Мета статті – дослідити вікові особливості інтелектуального складника психологічної готовності українських зимівників до життєдіяльності в умовах Антарктики на прикладі 10 експедицій до Української антарктичної станції «Академік Вернадський». Методологія дослідження ґрунтується на поєднанні філософського (системності, діалектичної суперечності, єдності якості та кількості, діалектичного заперечення, розвитку, причинності та ін.); загальнопсихологічного (психологічна теорія особистості, єдності психіки і діяльності, розвитку; системності; концепція суб’єкта психічної активності та ін.) та конкретно-тематичного (основні положення психології діяльності в екстремальних умовах; концепція соціально-психологічної періодизації вікових періодів у житті дорослої людини нашого часу; структурування психологічної готовності до діяльності та ін.) принципів з методами системності, науковості та верифікації. Наукова новизна полягає в тому, що, використовуючи метод аналізу наукової літератури та результати емпіричного дослідження, проаналізовано вікові особливості інтелектуального складника психологічної готовності до життєдіяльності в екстремальних умовах на прикладі 10 українських антарктичних експедицій та доведено необхідність психологічної діагностики для зимівників з метою підвищення ефективності життєдіяльності в Антарктиці. Висновки. Визначено структуру психологічної готовності до життєдіяльності в екстремальних умовах, у якій інтелектуальний складник відіграє значну роль. Доведено, що є вікові відмінності в переважанні стилів мислення в різних вікових групах. Показники розвитку уяви найкращі в представників старшої вікової групи.
ТЬЮТОРСЬКІ ТЕХНОЛОГІЇ РОЗВИТКУ СОЦІАЛЬНО-ОСОБИСТІСНИХ КОМПЕТЕНТНОСТЕЙ УЧНІВ СТАРШИХ КЛАСІВ
Authors: ШВЕЦЬ Тетяна
Published: January 2024

Мета статті – проаналізувати та схарактеризувати тьюторські технології, що сприяють розвитку соціально-особистісних компетентностей учнів старших класів. Методологія дослідження ґрунтується на поєднанні таких підходів: гуманістичного, що передбачає врахування індивідуальних особливостей кожного учня; системного, який дає нам змогу сприймати та аналізувати тьюторський процес як цілісну систем; синергетичного, який методологічно підсилює процес формування індивідуальності суб’єкта навчання і виховання, який займає активно-творчу позицію та демонструє волю до пошуку індивідуальної стратегії самовизначення в житті та самореалізації; діяльнісного, що ґрунтується на визнанні діяльності основою, засобом і вирішальною умовою розвитку особистості. Наукова новизна полягає в тому, що, використовуючи метод аналізу науково-педагогічної літератури, автором визначено тьюторські технології, що є інтегрованим комплексом, який зумовлює досягнення кінцевої мети – максимального, відповідно до індивідуальних особливостей учнів старших класів, рівня розвитку соціально-особистісних компетентностей. А також здійснено змістовну характеристику тьюторських технологій. Висновки. Тьюторська програма, що спроєктована тьютором або колективом тьюторів на основі методичної концепції тьюторського процесу й спрямована на розвиток соціально-особистісних компетентностей учнів старших класів, передбачає використання тьюторських технологій, а саме: технології індивідуальної освітньої траєкторії учня, технології портфоліо учня та технології проведення тьюторіалу. Це вимагає певних умов для їх реалізації, системності та структурованості, а також наявності тьюторської компетентності тьютора. Завдяки здатності вчителя-тьютора провадити тьюторську діяльність уможливлюється індивідуалізація освітнього процесу в старшій школі, що передбачає навчальний, виховний та розвивальний процеси.
A photographic guide for determining egg incubation stage in the Superb Fairy-wren (Malurus cyaneus)
Authors: Resendez Elisa , Ditzel Paulo , Kessler Paul , Buckley Emma , Huff Claire , Poje Colleen , Lamb Joleah , Kennerley James , Coleman Jonathan , Boersma Jordan , Webster Michael , Feeney William
Published: January 2024

When monitoring the nesting biology of wild birds, nests are often found after the eggs have been laid and incubation has commenced. Candling—the use of a bright light to illuminate egg contents—is a useful method for estimating embryo development and incubation stage. This information is used to estimate when incubation started and predict when eggs will hatch. As the focus of several long-term monitoring studies, a guide for assessing the stage of embryo development in the Superb Fairy-wren (Malurus cyaneus) will enable a standardized estimation of egg development for nests found after laying has been completed. Here, we present a photographic guide for determining embryo development using candling in the Superb Fairy-wren. In the process of developing this guide, we also address the need for a cost-effective and accessible method for candling eggs in the field with a portable candling device.
Is Geopolitics Still Relevant? Halford Mackinder and the War in Ukraine
Authors:   Hong Kong Baptist University, Śliwiński Krzysztof Feliks
Published: January 2024

This paper starts with an assumption that geopolitics, understood as one of the great schools of international relations, is not only still relevant but, indeed, should be one of the essential items in the toolkit of any student or policymaker who peruses the challenging and ever-eluding realm of international security. It draws chieﬂy on Sir Halford Mackinder’s Heartland theory in order to explain the dynamics of contemporary European security in general, and the ongoing war in Ukraine in particular. The analysis, which relies heavily on a historical examination of the geopolitical realities of Central and Eastern Europe, leads the author to a pair of conclusions. Firstly, the conﬂict in Ukraine is likely to linger on albeit with unpredictable intensity and, secondly perhaps more importantly, the outcome of the war will only be one of many steps leading to the emergence of a new, possibly multipolar, international system and consequently, and more obviously, a new security system in Europe, which will be strongly inﬂuenced by Germany rather than by the United States as before.
CSR in Ukrainian Retail Enterprises in Time of the COVID-19 Pandemic and the Russian Invasion (2019–2022)
Authors:   Simon Kuznets Kharkiv National University of Economics, Dobroskok Iuliia , Konstantynovskyi Leonid ,   Simon Kuznets Kharkiv National University of Economics, Proskurnina Nadiia ,   Simon Kuznets Kharkiv National University of Economics, Salun Maryna ,   Simon Kuznets Kharkiv National University of Economics, Shtal Tatyana ,   Simon Kuznets Kharkiv National University of Economics
Published: January 2024

The corporate social responsibility (CSR) landscape of Ukraine’s retail sector underwent profound and global transformations during the COVID-19 pandemic and the extensive Russian incursion into Ukraine in 2022. These transformations were precipitated by rapid changes in the operational activities of the retail sector’s enterprises, resulting from signiﬁcant external disruptions. Consequently, the primary objective of this study is to analyse the indicators of the CSR status of Ukraine’s retail enterprises and ascertain the extent of the changes that occurred due to the pandemic and Russia’s incursion. The study also aims to determine the inﬂuence of these transformations on CSR initiatives and identify key issues within the realm of corporate social responsibility in Ukraine’s retail sector. To quantify these changes, indicators of CSR status encompassing key aspects of corporate social responsibility (economic, legal, environmental, and social indicators) were selected (Carroll, 1979). To achieve the set objectives, research methods such as analysis (measuring CSR indicators), comparison (relating the examined indicators chronologically), induction (identifying speciﬁc factors affecting the overall CSR status of retail enterprises), and deduction (determining the nature of the impact of the overall CSR status on its individual aspects) were employed. Throughout the investigation, the signiﬁcant impact of the COVID-19 pandemic along with the comprehensive Russian incursion into Ukraine on the CSR status of retail enterprises was revealed. It was observed that enterprises reduced nonessential and irrelevant activities at that time not only to support stakeholder interests and enhance working conditions for employees, but also to aid community support.
Turkey’s Middlepowermanship, Foreign Policy Transformation and Mediation Efforts in the Russia-Ukraine War
Authors:   Institute of Political Studies of the Polish Academy of Sciences, Wódka Jakub
Published: January 2024

This article provides insight into Turkey’s strategic pursuit of a more active and inﬂuential role as a mediator in the ongoing Russia-Ukraine war. Turkey, positioning itself as a middle power, seeks to elevate its global standing. This involves a delicate diplomatic balancing act in its foreign policy approach towards both Russia and Ukraine. The equilibrium thus achieved positions Turkey as a natural mediator, serving as a catalyst for brokering a peace initiative among the conﬂicting parties. Ankara’s diplomatic activism is not just a tactical move but also a manifestation of Turkey’s broader global ambitions, underlining its commitment to playing a more signiﬁcant role in shaping international affairs. These aspirations clash with a rising penchant in Turkey to pursue a more militaristic and coercive foreign policy, which stands in contradiction to the role of a benign power.
Approximating Fixed Points of Generalized $\alpha-$Nonexpansive Mappings by the New Iteration Process
Authors: TEMİR Seyit , KORKUT Öznur
Published: January 2024

In this paper we introduce a new iteration process for approximation of fixed points. We numerically compare convergence behavior of our iteration process with other iteration process like M-iteration process. We also prove weak and strong convergence theorems for generalized $\alpha-$nonexpansive mappings by using new iteration process. Furthermore we give an example for generalized $\alpha-$nonexpansive mapping but does not satisfy $(C)$ condition.
Implementation of character education in establishing a holistic personality at SMAN 1 Enam Lingkung
Authors: Hardi Etmi , Jamaris Jamaris , Solfema Solfema
Published: January 2024

The purpose of this study is to understand the implementation of character education in the formation of students' holistic personality. The method used is qualitative research carried out at SMAN 1 Enam Lingkung. To obtain information, direct observation activities were carried out to the school and then searched for various literature and conducted interviews with key informants consisting of the principal, vice principals, homeroom teachers, teachers and students. After the interview activity was carried out, the researcher processed the data using inductive techniques with steps consisting of data reduction activities, data presentation and data verification. The results of this study are: (1) there are two strategies in the implementation of character education in SMAN 1 Enam Lingkung, namely internal and external; (2) the form of internal strategy can be pursued through five pillars, namely teaching and learning activities in the classroom, self-development activities before entering the lesson time at start, daily activities at school, habituation activities, co-curricular activities, and extra-curricular activities; and (3) external strategies can be implemented by cooperating with parents or guardians of students and the community.
Utilizing social emotional learning to increase the learning motivation of elementary school
Authors: Isnaini Isnaini , Indaryanti Indaryanti , Dakim Dakim
Published: January 2024

This article reports a study that applies Social Emotional Learning (SEL) to increase the learning motivation of class III.B students at SD Negeri 94 Palembang. SEL is a learning process that aims to recognize and process emotions and build good relationships with others and be able to make responsible decisions. Meanwhile, learning motivation is the drive that a person has to achieve a goal, indicated by changes in attitudes, skills, and understanding. This research uses Classroom Action Research (CAR) using the Kemmis and Mac research design models. Taggart. The research subjects totaled 24 students, consisting of 15 boys and 9 girls. The general description of learning motivation in pre-cycle only reaches 40.63% which is relatively low. Whereas in cycle I there was an increase reaching a percentage of 64.67% which was classified as moderate. Continuing in cycle II, learning motivation increased to 72.93% and was classified as moderate. Up to cycle III there was an increase of up to 81.25% which was relatively high. This proves that there is an increase in the learning motivation of class III.B students at SD Negeri 94 Palembang by implementing Social Emotional Learning (SEL).
Prediction of Student Performance Based on Behavior using E-Learning During the Covid-19 Pandemic using Support Vector Machine
Authors: Widarta Agung Eka Widarta , Luthfi Ahmad , Kusuma Dewa Chandra
Published: January 2024

The COVID-19 crisis has profoundly impacted many sectors globally, including education, necessitating the shift from traditional in-person learning to independent or online learning through various digital platforms. The integrity of e-learning can be ensured by leveraging e-learning behavioral data. The objective of this research is to develop a novel data model to navigate the educational challenges of the COVID-19 era. Previous studies employed the Support Vector Machine (SVM) technique to predict student performance in an e-learning setting, yet they failed to contrast different SVM kernels and their outcomes. In contrast, this study uses SVM and compares three types of kernels: Radial, Polynomial, and Linear. The dataset used for this research was procured from X-API-Edu-Data. The SVM technique was utilized in a unique way to process the data, which comprised 17 variables and 40 observations. Notably, all 17 variables were character variables, with only four being numeric. Two variables, Raisedhands and Discussion, were selected for analysis due to their key role in effective learning and their association with student performance in an e-learning environment. The evaluation of the model was performed using the Topic variable, which represents the subjects in the dataset. The research findings revealed a marked improvement in accuracy compared to earlier studies. Among the three SVM kernels tested - Radial, Polynomial, and Linear, the Polynomial kernel demonstrated superior accuracy with a score of 0.9979. Therefore, the Polynomial model was deemed most appropriate for analyzing the Topic variable. In conclusion, the study indicates that the application of the e-learning method, specifically during the COVID-19 pandemic, proved highly effective in forecasting student performance.
Implementing Scrum in Executive Information System at University
Authors: Setiawan Ridwan , Mulyani Asri , Fitriani Pipit , Gusti Kharisma Wiati
Published: January 2024

Executive Information System is a type of system that provides information about reports generated by the system, assists executives in making necessary decisions, and provides easy access to information from both internal and external sources. This system aims to help specific organizations solve problems. The objective of this research is to design and develop a web-based executive information system that can provide access to student, faculty, and program data at the Faculty of Economics, Garut University, with data visualization in the form of graphs and numbers using the Scrum method. The Executive Information System can provide a real-time overview of data for executive-level individuals, namely the faculty leaders. Scrum is the development methodology used, with stages such as product backlog, sprint, daily scrum meeting, sprint review, and sprint retrospective. The results of this research have produced an Executive Information System that provides data on students, faculty, and programs. This system features functions such as filtering, drilldown, and importing. Testing results indicate the successful achievement of sprints on time or even ahead of schedule, and the team was able to meet targets in each sprint. In this research, the Scrum method has been effectively utilized in creating the executive information system. Therefore, this method can be employed to develop similar executive information systems in the future.
Evaluation of Accounting Information System Using Usability Testing Method and System Usability Scale
Authors: Putri Rozza Maudina Ayuwan , Parwita Wayan Gede Suka , Handika I Putu Susila , Sudipa I Gede Iwan , Santika Putu Praba
Published: January 2024

The computer-based accounting information system IBS Core has been used by  Renon Pekraman Village Credit Institution since 2016 to facilitate all transaction processes. This study aims to evaluate the usefulness of the IBS Core accounting information system, determine the effectiveness, efficiency, and user satisfaction with the IBS Core accounting information system, and identify areas that need improvement in the IBS Core accounting information system.The method used in this study is Usability Testing using performance measurement and retrospective think aloud (RTA) as well as the System Usability Scale (SUS). The results of the study show that the IBS Core system has a high effectiveness score of 92.50%. The average time required for participants to complete the task scenario is 68.9 seconds, and users feel that the available content is clear and consistent. In addition, the average System Usability Scale (SUS) score is 86.125, where the results were above the standard average SUS score. The IBS Core System Score was ranked B with the adjective ratings "Excellent” Next, the acceptability ranges are included in the "Acceptable" category, and finally the net promote score (NPS) is included in the "Promoter" category, showing that the use of the IBS Core system gets a very good assessment from its users. This shows that the IBS Core system is highly appreciated and considered very useful by its users.
Microcell Planning Analysis Using Cell Splitting Method In 4G LTE Network
Authors: Yuhanef Afrizal , Zurnawita Zurnawita , Berliana Syafira Gerin , Septima Uzma , Setiawan Herry
Published: January 2024

As the growth of technology and telecommunication network, demands of mobile technology is also raised. The quality of the network will decrease by the insufficient number of network and cell to support the growth of user, and the scope of e-Node B is not optimal. The method of cell splitting can be used to solve the problem, this method splitting macro cell network become smaller size of cell with scoping area of each without interruption. The planning of new site  as microcell implemented in area of Flamboyan Baru using XL operator. As the count gained, 1 site microcell and 2 cell with the antenna of 18,5 meters and power of 38 dBm, cell splitting method could increase network quality and improve the average number of parameter RSRP, SINR, and throughput, also proving that the implementation of cell splitting in microcell could escalate the quality of LTE network, the improvement of network quality in SINR parameter with average number of 24,23 dB with category of very good, RSRP parameter with average number of -94,28 dBm with category good, and the average number of throughput reach 63.094,91 kbps with category very good.
GridSearch and Data Splitting for Effectiveness Heart Disease Classification
Authors: Putri Rusyda Tsaniya Eka , Zeniarja Junta , Winarno Sri , Cahyani Ailsa Nurina , Maulani Ahmad Alaik
Published: January 2024

Cardiovascular disease (CVD) is a major global health issue that affects death rates significantly. This research aims to improve the early detection and diagnosis of cardiovascular illness by utilizing machine learning methods, particularly classification algorithms. According to estimates from the World Health Organization (WHO), cardiovascular disease (CVD) caused 17.9 million deaths globally in 2019, or 32% of all fatalities. The treatment and prognosis of cardiovascular illness are greatly improved by early detection and diagnosis. Classification, in particular, machine learning, has become a prominent tool for solving problems connected to heart disease. The main objective of this project is to assess how well Grid Search and various data-sharing methods classify cardiac disease. SVM, Random Forest Classifier, Logistic Regression, Naïve Bayes, Decision Tree Classifier, KNN, and XGBoost Classifier are just a few machine learning methods. The UCI heart disease dataset, which contains information from 303 heart disease patients and 165 healthy participants, is used for the evaluation. Performance parameters like recall, accuracy, precision, and F1 score are considered to evaluate the algorithms' efficacy. The investigation's expected outcomes are intended to increase doctors' ability to diagnose cardiac disease more accurately. Moreover, these results may aid in creating more complex classification models for diagnosing cardiac conditions.
Revolution in Image Data Collection: CycleGAN as a Dataset Generator
Authors: Hindarto Djarot , Handayani Endah Tri Esti
Published: January 2024

Computer vision, deep learning, and pattern recognition are just a few fields where image data collection has become crucial. The Cycle Generative Adversarial Network has become one of the most effective instruments in the recent revolution in image data collection. This research aims to comprehend the impact of CycleGAN on the collection of image datasets. CycleGAN, a variant of the Generative Adversarial Network model, has enabled the unprecedented generation of image datasets. CycleGAN can transform images from one domain to another without manual annotation by employing adversarial learning between the generator and discriminator. This means generating image datasets quickly and efficiently for various purposes, from object recognition to data augmentation. One of the most fascinating features of CycleGAN is its capacity to alter an image's style and characteristics. Using CycleGAN to generate unique and diverse datasets assists deep learning models in overcoming visual style differences. This is a significant development in understanding how machine learning models can comprehend visual art concepts. CycleGAN's use as a data set generator has altered the landscape of image data collection. CycleGAN has opened new doors in technological innovation and data science with its proficiency in generating diverse and unique datasets. This research will investigate in greater detail how CycleGAN revolutionized the collection of image datasets and inspired previously unconceived applications.
Enhancing Supervised Learning through Empirical Enrichment Using Style Transfer Generative Datasets
Authors: Hindarto Djarot
Published: January 2024

An innovative strategy for improving supervised learning by utilizing empirically enriched datasets through the application of generative style transfer techniques. Within the realm of artificial intelligence, supervised learning has emerged as a significant domain. However, the challenge of acquiring datasets that are both representative and diverse persists. To tackle this issue, this research integrates the notion of style transfer to broaden the range of data accessible for supervised learning models. This method employs the style transfer process to generate diverse style variations within the existing data. Incorporating various image variations enhances the dataset and enables the model to gain a deeper comprehension of the image's content. Experiments were performed utilizing a conventional dataset that was enhanced using a style transfer technique and subsequently inputted into a supervised learning model. The results demonstrate substantial enhancements in model performance, particularly in terms of its ability to generalize to new test data. This confirms the efficacy of this approach in enhancing the quality of supervised learning. These findings emphasize the significant potential of employing style transfer in dataset enrichment to improve and intensify model comprehension in managed learning scenarios, as well as its implications in the advancement of artificial intelligence technologies that are more flexible and capable of adjusting to various visual scenarios.
Stunting Disease Classification Using Multi-Layer Perceptron Algorithm with GridSearchCV
Authors: Cahyani Indah Ardhia , Ashuri Putri Intan , Aditya Christian Sri Kusuma
Published: January 2024

Stunting is a growth and development disorder caused by malnutrition characterized by a child's height less than the standard deviation set by WHO. In 2022, stunting cases in Indonesia are considered a high prevalence rate, reaching 21.6%. There are several factors that can cause stunting in children, namely maternal and antenatal care factors, home environment factors, breastfeeding practices, and feeding factors during toddlerhood. There are several impacts that occur when children are stunted, namely increased risk of child mortality, susceptibility to illness, impaired brain development, physical disorders and metabolic disorders.   Currently, deep learning has been widely used for disease classification and prediction, one of the deep learning methods is Multi-Layer Perceptron (MLP). The purpose of this research is to classify stunting disease using a deep learning method, namely MLP. The dataset used consists of 8 attributes, namely gender, age, birth weight, birth length, body weight, body length, breastfeeding and stunting with a total of 10,000 records. The encoding process is carried out to convert categorical data into numeric attributes of gender, breastfeeding, and stunting.  This research produces a higher accuracy value than previous research which used the C4.5 algorithm with an accuracy of 61.82%, whereas in this study using MLP which was integrated with the GridSearchCV hyperparameter it obtained an accuracy of 82.37%. This proves that the MLP method is successful in classifying stunting compared to previous research algorithms.
Determining The Optimal Number of K-Means Clusters Using The Calinski Harabasz Index and Krzanowski and Lai Index Methods for Groupsing Flood Prone Areas In North Sumatra
Authors: Syahputri Ziana , Sutarman Sutarman , Siregar Machrani Adi Putri
Published: January 2024

The k-means algorithm is a partitional clustering method. K-Means has several advantages, including being easy to implement, having a high level of convergence and producing denser clusters. Meanwhile, the drawback is that it is difficult to determine the optimal number of clusters. The K-Means method will be used to solve problems in areas prone to flood disasters in North Sumatra. This research aims to find the optimal number of clusters with the Calinski Harabasz Index and Krzanowski And Lai Index based on the Cluster Tightness Measure (CTM) value. There are eleven variables used in this research. Based on the research results, it was concluded that the CTM CH result of 0.376 was smaller than the CTM KL of 0.7843. So it can be said that determining the optimal number of clusters using CH with k = 6 is better than KL with k = 2.
Prediction of Student Entrepreneurship Future Work based on Entrepreneurship Course using the Naïve Bayes Classifier Model
Authors: Hasan Hanapi , Yulastri Asmar , Ganefri Ganefri , Putri Tansa Trisna Astono , Marta Rizkayeni
Published: January 2024

Entrepreneurs are critical to a country's economic progress and job creation. Few people felt schools have much to offer with business a generation ago. Students are expected to be an entrepreneur as the outcome of the course. The goal of this study is building a model to predict students' future employment, particularly in the field of entrepreneurship, using big data analysis and data mining. Various educational institutions can use data mining methodologies to identify hidden patterns in data contained in databases. The feature selection technique was utilised in this study to select and assess the significance of each element. The model was built using the final parameters determined by the feature selection technique (Correlation Based Feature Selection). Using the 10-fold cross validations for training and testing dataset distribution, the Naïve Bayes classifier was used to forecast the students' future of work. The dataset for the study was gathered from a student's performance report at Universitas Negeri Medan's engineering department. The effectiveness of using feature selection algorithms was compared to the effectiveness of not using feature selection algorithms, and the results are discussed. According to the findings of this study, the accuracy of Naïve Bayes with Correlation Based Feature Selection is 87.4%, which is higher than the model that did not use any feature selection. It was also discovered that the overall accuracy of the Correlation Based Feature Selection and Naïve Bayes Classifier models appears to be higher than that of the other treatments.
Bank Crisis Management Strategies for Leveraging Effective Performance of the Barbados’ Banking Institutions in Times of Crisis
Authors: Davis Jennifer , Okanga Boniface , Sambumbu Antony Matemba
Published: January 2024

Given a series of turbulences and disruptions that most of the financial institutions in the Caribbean faced in recent years as a result of the 2008 financial crisis, Hurricane Dora, Covid-19 and now the Russia-Ukraine War that induced energy shortages and inflation, this study uses integrative review to evaluate bank crisis management strategies that can be adopted for leveraging effective performance of the Barbados’ banking institutions in times of crisis. To accomplish that, the integrative review of different studies was structured according to five steps encompassing the designation of integrative review objectives and questions, literature search, inclusion/exclusion criteria, quality assessment and data synthesis. In crisis times like during Covid-19, outcomes of integrative review indicated the Covid-19’s devastating effects on the performance of most of the banking institutions in Barbados to have been reflected in the declining deposits/savings, new clients' borrowings and loan repayments. Covid-19 also instigated an increment of non-performing loans and the bank’s market disconnectedness, whilst also undermining the implementation of growth-improvement plans and strategies. As profitability and liquidity crises set in, findings revealed Covid-19 to have disrupted the bank’s seamless operations, as declining bank personnel’s morale, motivation and commitment also affected their performance. To improve the banks' future resilience, most of the reviewed theories and literature proposed the best bank crisis management strategies like the adoption of contingency planning to improve the bank’s future resilience. Besides dedication of reserve resources for managing and mitigating the disruptive effects of unpredicted events, others suggested the essence for the encouragement of a culture of change, flexibility and agility. However, some of the reviewed studies argued that no best bank crisis management practices and strategies emerged from Covid-19 crisis management that can be replicated for managing such similar complex crises in the future. This implies as the banks were significantly overwhelmed by the Covid-19 shocks, it was not practically possible for them to think and rethink to emerge with the immediate best bank crisis management strategies that can be emulated going into the future. Since this suggests most of the banking institutions in Barbados must still explore the best crisis management strategies that can be adopted to improve the banks’ future resilience to withstand all shocks, the study concludes with the suggestion of the Systematic Bank Crisis Management Framework that the banks can adopt going into the future.
Innovation of M-Health-Based Prosa-Hi Application for Early Detection of Child Growth and Development
Authors: Sunarsih Tri , Astuti Endah Puji , Purnamaningsih Nur'Aini , Suwarno  , Syah Muhammad Erwan , Shanti Elvika Fit Ari , Habibi Muhammad , Kharisma  , Rukmi Dwi Kartika
Published: January 2024

The development of technology has advanced digital and intelligent transformation, including in the child health. This study was conducted to implement the PROSA-HI Application to detect child growth early. The research method uses the sequential mix methods. The PROSA-HI Application will be implemented in Nogotirto Village from August 2022 to November 2022. The data collection techniques in this study include Observation, Interviews, and questionnaires with mothers with toddlers using the User Acceptance Test (UAT) questionnaire of 291 mothers under five. Analysis by univariate analysis. Testing the PROSA-HI Application with a user acceptance test showed an average of 89.0%, so it can be concluded that the usability rate of the PROSA-HI application system based on user perception is considered feasible to implement. The PROSA-HI Application can effectively monitor children's health, growth, and development, positively impacting parents and health workers.
Transformative Research Niches (TRNs)
Authors:   , Romero Goyeneche Oscar Yandy
Published: January 2024

This thesis aims to explore the role of science in building a sustainable future. Can we rely on the current science system to address the challenges we face, or does it need to undergo a transformation in order to achieve sustainability? To address these questions, we must understand how science can effectively address interconnected challenges. Thus, the thesis concentrates on three key aspects: how the science system generates knowledge about these challenges, integrates this knowledge into emerging socio-technical niches (alternative systems for sustainable futures), and contributes to the ongoing discussions of how to implement the United Nations Sustainable Development Goals (SDGs).
The central argument posits that collaboration within the science system has the potential to generate new knowledge that integrates social and environmental challenges into sustainable socio-technical niches. The concept of Transformative Research Niches (TRNs) is introduced, representing collaborative spaces among diverse knowledge communities to address interconnected challenges. Social Network Analysis (SNA) methods are applied across various contexts to identify and study TRNs.
Empirical findings indicate a growing emphasis on sustainable development yet reveal limited progress in integrating multiple SDGs within scientific research. The thesis suggests that research councils and universities should provide better support to TRNs, fostering collaboration and mutual learning between scientists, research councils, universities and social movements. It concludes with four guiding principles: knowledge recombination, nurturing TRNs, connecting science with society, and enabling transformations, emphasising interdisciplinary collaboration and inclusive problem framing.