bluuebunny/crossref_metadata_2025 huggingface dataset:
O PROCESSO DE APRENDIZAGEM, AS TECNOLOGIAS E NOVAS METODOLOGIAS NO CURRÍCULO EDUCACIONAL
Authors: Oliveira Alessandra da Silva
Published: February 2025

Por meio deste artigo espera-se abrir uma breve discussão acerca de como se mostram aproveitadas as tecnologias perante as novas metodologias no currículo educacional por parte do educador no decorrer do exercício de suas práticas pedagógicas. Tendo em vista ser uma pesquisa de cunho bibliográfico, mostram-se salientadas importantes contribuições teóricas de estudiosos famosos que abreviam os conflitos positivos no trabalho educacional com as tecnologias digitais por parte dos educadores, como também o déficit negativo do educador que não busca adequar-se à nova e importante realidade digital. Desta forma, este artigo buscou material teórico, tendo em vista uma coleta de informações por meio de arrolamentos e ponderações acometidas em diversos artigos científicos, como também na literatura nacional, que têm conexão direta com o tema abordado nesta pesquisa. Com isso, chegou-se a uma relevante ponderação acerca dos impactos que o trabalho calcado no uso das tecnologias digitais em sala de aula pode harmonizar nas atividades pedagógicas dos educadores que concordam com o aproveitamento de tal ferramenta, vendo-a como um instrumento de base em suas abordagens metodológicas. Com esta pesquisa, ainda se constatou, por meio dos pensamentos de importantes estudiosos, a relevância do trabalho em salas de aula com o emprego das novas tecnologias perante as novas metodologias e o tão importante currículo educacional, o que trouxe expressivos resultados reflexivos acerca de tal panorama, especialmente após toda a realidade de isolamento social pela qual a Educação passou devido a covid – 19.
A IMPORTANTE CONEXÃO DO PROCESSO ENSINO APRENDIZAGEM E A INSERÇÃO TECNOLÓGICA POR MEIO DAS METODOLOGIAS ATIVAS
Authors: Pessoa Eliane Cristina Teixeira
Published: February 2025

A produção em questão visa provocar uma reflexão acerca da inserção tecnológica em sala de aula em prol dos benefícios ao processo ensino aprendizagem. É fato que tal evolcução está presente nos mais variados setores da vida humana. No entanto cabe a escola e seus profissionais discutirem e desenvolveram formas de tornar a tecnologia presente em sala de maneira favorável. O processo ensino aprendizagem ocorre em suas mais diversas formas e nesse sentido a tecnologia se torna uma aliada, uma vez que no contexto atual, a geração de crianças e adolescentes dominam e direcionam muito interesse por plataformas digitais. A priori reafirmamos a importância de estabelecer essse vínculo saudável entre o uso dos intrumentos tecnológicos, de modo que eles não sejam apenas mais um material e sim que possam ser inseridos com intuito de construir de fato uma aprendizagem mediante a realidade de uma sociedade informatizada. Para tanto adotaremos a pesquisa documental, com leitura de livros e artigos que colaboram no processo de reflexão sobre o tema.
YouTube’s Automated Subtitling from English into Arabic: A Case Study of Harry Potter and the Prisoner of Azkaban
Authors: Al-Harahsheh Ahmad Mohammad , Rababah Ro’a Hasan
Published: February 2025

Recently, the development of speech-to-text technology, together with machine translation, has led to the developmentof simultaneously translating the captions of videos into other languages. YouTube, a video-sharing platform, offersmultilingual subtitles using this feature. The current automated caption system captures audio data during video uploadsand generates a subtitle file in text format. The current study aims at examining whether YouTube machine translation fromEnglish into Arabic is reliable in rendering the intended meaning on subtitling, depending on the FAR model (functionalequivalence, readability, and acceptability). The data of this study consisted of 30 examples that were taken from theYouTube platform and their translated versions into Arabic using YouTube’s machine translation. The study is bothdescriptive and comparative. The results of the study indicate that YouTube machine translation represents varying levelsof inadequate translation according to its system and database, revealing many deficiencies. The total approval rate is68.5%, which gives the impression that the translation is very poor. Therefore, the machine requires the development of itssystem and the enrichment of its databases, specifically the Arabic ones.
Percentage of commercial carcass cuts of superior native chickens Balitbangtan (KUB)
Authors: Ni Made Putri Arisa  , Ni Made Witariadi  , Eny Puspani
Published: February 2025

KUB chicken helps meet the community's meat needs as a source of animal protein. Efforts to increase commercial carcass yields by providing natural supplements in rations, consisting of maggot flour, spirulina and turmeric. Research to determine the effect of providing natural supplements in commercial rations, on the percentage of commercial carcass cuts of KUB chicken. The study used a completely randomized design (CRD) with four treatments and five replications, and each treatment unit was filled with 3 KUB chickens. The treatment of natural supplement "Nutrigold feed supplement" in commercial rations is: P0 = 0% Nutrigold feed supplement; P1 = 1% Nutrigold feed supplement; P2 = 2% Nutrigold feed supplement; and P3 = 3% Nutrigold feed supplement. The variables observed were: carcass weight, percentage of chest, percentage of back, percentage of wings, percentage of upper thigh, and percentage of lower thigh. The results showed that the addition of 1-3% Nutrigold feed supplement was not able to increase the percentage of commercial carcass cuts of KUB chickens, but the addition of 3% Nutrigold feed supplement to commercial rations was able to increase carcass weight (624.00 g / head / 8 weeks). It can be concluded that the addition of 1-3% Nutrigold feed supplement was not able to affect the percentage of commercial carcass cuts, but the addition of 3% Nutrigold feed supplement could increase the weight of KUB chicken carcasses.
Preformulation characterization of Thiocolchicoside
Authors: Keshav Jindal  , Saahil Arora  , Manish Goswami
Published: February 2025

Introduction: Thiocolchicoside is semi-synthetic sulfur derivative of colchicine, which is a naturally occurring glucoside in the Colchicine plant. It is potent muscle relaxant with anti-inflammatory and analgesic activities. Thiocolchicoside is biopharmaceutical classification system (BCS-III) drug.

Aim & objectives: The present research work was aimed to study the pre-formulation parameters of Thiocolchicoside to develop suitable and stable subcutaneous formulation. Objective of the study was to develop promising subcutaneous dosage form to overcome the existing limitations of the current route of delivery and to prepare a way by observing the physical and chemical properties of drug substance for transforming into drug product in such a way that drug product can be administered in a right way.

Methods: Organoleptic characteristics of Thiocolchicoside were analyzed. Centrifugation method was used to analyze the solubility. Partition coefficient was determined. Melting point was analyzed by capillary method. Infra red spectroscopy was performed. X-ray diffraction was conducted to confirm the inside arrangement. Nature of peak was analyzed through differential scanning calorimetry. Calibration plot of drug with HPLC with acetonitrile: water (70:30) was carried out for LOD and LOQ determination.

Results: Thiocolchicoside found with pale yellow color and mild odour. Solubility found 12.65 mg/ml. Partition coefficient found 0.378. Melting point found in the range of 163-169.33 º C. IR spectra had given peaks for primary and secondary amide at 1603 cm-1& 3291.2 cm-1, ketone moiety of tropane nucleus at 1649.7 cm-1, thioether at 2360.8 cm-1 and hydroxyl group at 3299.1 cm-1. Single exothermic peak observed at 161.83 º C temperature with differential scanning calorimetry. Drug was subjected for X-ray diffraction analysis from temperature range at 10 º C to 90 º C, 79.4% crystallinity & 20.6% amorphousness of drug was found. Calibration plot with HPLC has given regression coefficient of 0.998. Mean retention time for peaks was observed 2.655 minutes. LOD was 1.092µg/ml and LOQ was 3.311µg/ml.

Conclusion: Drug found stable under all analyzed parameters. The target dosage form with Thiocolchicoside is promising to overcome the existed limitations with current route of delivery.
Revolutionizing digital healthcare: The role of AI chatbots in patient engagement and telemedicine
Authors: Rohan Desai
Published: February 2025

AI-enabled chatbots are revolutionizing the nature of patient engagement and telemedicine with instantized 24/7 assistance, automating pre- and post-teleconsultation administrative tasks with capability development on advanced content delivery through teleconsultation. Such intelligent systems can help improve healthcare access, operational efficiency, and cheap alternatives while solving admin burdens for healthcare professionals. AI chatbots are vital in the medical industry with various features ranging from symptom assessments, adherence to medications prescribed, mental health support, remote patient monitoring, etc.

The paper discusses the architecture, implementation models, advantages, challenges, and ethics involved with AI-driven chatbots in the healthcare sector. It further analyses developments in the inclusion of voice-implemented AI supports, wearable technology, and multilingual AI solutions that'll certainly reshape the future of digital healthcare. This study provides a well-rounded view of how AI chatbots admit to patient care through workflow diagrams and case studies. It also outlines the long-term relevance of AI solutions-a model where the pandemic-driven approach can now, in these times, absolve the litany of ever-evolving healthcare issues.
The role of digital health platforms in shaping consumer behavior
Authors: Prof. TAREQ N. HASHEM
Published: February 2025

The objective of this study is to evaluate how digital health platforms have an effect on health knowledge, decision-making methods, and consumer engagement levels. That means the manner in which these platforms have an effect on the behavior of customers is the primary topic of this article. The researcher obtained data from one thousand individuals who enrolled in digital health platforms in Jordan. The researchers used a quantitative methodology to collect the data. In order to study the connections that exist between the components of the platform, the level of user interaction, and the behavioral implications, they carried out a number of statistical tests, including regression analysis, using SPSS version 26. These tests were implemented in order to investigate the relationships. Based on the findings, it can be concluded that digital health platforms have the ability to increase user engagement, influence decision-making, and raise awareness about health issues. The conclusion of the study includes both recommendations for undertaking future research and takeaways that are applicable to healthcare practitioners. These recommendations are included in the conclusion.
Productivity growth in the Caribbean and Latin America under trade liberalization
Authors: Pooran Lall
Published: February 2025

Using the Malmquist productivity index as a measure of productivity, productivity was found to be greater in the Caribbean compared with Latin America, with the variation in the index being greater in the Caribbean. Technological change accounted for a greater proportion of productivity growth in Latin America, and technical efficiency played a greater role in the Caribbean. Compared to the pre- and post- covid years [Covid year = 2019], productivity growth decreased in Latin America, whereas productivity growth increased in the Caribbean, over that period.

In terms of the relative impact of variables impacting productivity growth, using obtained from using regression analysis indicates that policies to improve the literacy rate, making credit available to the private sector and increasing access to electricity will give this region an advantage, as the correlation between productivity growth and these variables were more favorable in this region. Also, expanding the manufacturing sector in the Caribbean is likely to have a greater positive impact in the Caribbean than in Latin America. Latin America has the advantage of a greater positive impact on productivity in market size and decreasing the exchange rate.
Review of research on the uses and benefits of Ketapang plant (Terminalia catappa) extracts in Indonesia
Authors: Mohammad Kanedi  , Kusuma Handayani  , Wawan Abdullah Setiawan
Published: February 2025

A literature study regarding the results of research on the uses and benefits of the ketapang plant (Terminalia catappa) in Indonesia has been carried out. Through the Google search engine, it was found that there were 34 articles published in the last 15 years. The revealed uses and benefits of Ketapang plant extracts are: natural dye, anti-corrosion, herbicide, fish growth stimulant, tocity, cytotocix, anticancer, anti-hypercholesterolemia, wound healing, insecticide, antioxidant, and antimicrobial. Thus it can be concluded that ketapang is a multi-purpose plant.
Autoimmune diseases in children and anesthesia
Authors: Maria I Dalamagka
Published: February 2025

Autoimmune diseases in children may be linked to genetic, environmental, and hormonal factors. It’s estimated that 5% of children worldwide have at least one autoimmune condition, with many experiencing multiple autoimmune challenges. Around 80 autoimmune diseases are present. However, autoimmune diseases in children are rare. When they occur they can be challenging to diagnose and difficult to treat. Advances in our knowledge of the immune system are uncovering connections between inflammation and many different diseases. All autoimmune diseases have relapsing and remitting tendencies. Autoimmune diseases can affect almost any part of the body, though they often target connective tissues (skin, muscle and joints). Symptoms can range from fatigue and mild rashes to rare, serious side effects, like seizures. Diagnosis can be difficult, because many symptoms tend to come and go and are frequently nonspecific. They occur in different kinds of autoimmune diseases as well as other types of illnesses, like infection and cancer. Autoimmune diseases occur most often in females by a 3-to-1 margin over males. Organ-specific disorders (also called localized) focus on one organ or a specific type of tissue: Addison's disease affects the adrenal glands; Autoimmune hepatitis affects the liver; Crohn's disease affects the gastrointestinal tract; Multiple sclerosis (MS) affects the central nervous system; Type 1 diabetes affects the pancreas; Ulcerative colitis affects the gastrointestinal tract. Non-organ-specific disorders (also called systemic) cause problems throughout the body: Juvenile dermatomyositis affects the skin and muscles; Juvenile idiopathic arthritis affects the joints and sometimes the skin and lungs; Lupus affects the joints, skin, liver, kidneys, heart, brain, and other organs; Scleroderma affects the skin, joints, intestine, and sometimes the lungs. Pediatric autoimmune neuropsychiatric disorders associated with streptococcal infections (PANDAS) are rare neurobehavioral disorders in children. Affected children may have a diverse array of perioperative manifestations including compulsive behavior, agitation, and abnormal movements. Intravenous anesthetics have anti-inflammatory properties, which in most septic cases are useful for patients. The anti-inflammatory effects of ketamine may be related to the suppression of TNF production by macrophage in the presence of bacteria. Propofol inhibits the phagocytosis and chemotaxis of human monocytes through GABAA receptors. Inhalational anesthetics, in a dose-dependent manner, suppress cytokine release, reduces lymphocyte proliferation, induce apoptosis of the lymphocytes, and inhibits the function of neutrophils. lnhalational anesthetics influence the endocrine response from the hypothalamus-pituitary-adrenal axis and indirectly through the secretions of hormones, such as glucocorticoids and catecholamines. Long-term administration of general anesthesia drugs, due to their effects on cytokines, can lead to disease progression in patients with immune deficiency.
Knowledge and perceptions of Lagos state healthcare workers regarding the causes and implications of gingival bleeding (GB)
Authors: Modupeore Ekua Sorunke  , Olufemi Olakunle Olagundoye  , Afolabi Oyapero  , Adenike Ololade Awotile  , Olubunmi Omotunde Onigbinde  , Kehinde Oluremi Osinaike
Published: February 2025

Background: Healthcare workers other than oral healthcare workers are likely to be patients’ first contact. This study examines the knowledge, perceptions, and practices of GB among these healthcare workers, as it significantly impacts the information passed on to patients.
Methods: This cross-sectional study included freely consented six-hundred-and-forty-eight 18-year-old or older healthcare professionals from secondary (274) and tertiary (374) healthcare facilities with no formal dental education. Sociodemographic information and responses to questions about GB awareness, knowledge, and practice were obtained using a self-administered questionnaire. Each correct and incorrect response was scored 1 and 0 respectively; obtainable score ranged from 0-12. The data was analyzed using SPSS version 25. Statistical significance was at p-value < 0.05.
Results: Mean knowledge score was 6.77 ± 2.92, with 15.4%, 79.8%, and 4.8% of participants having low, medium, and high GB knowledge status respectively. Among the 54.6% of participants who experienced GB, 42.1% did nothing and only 12.7% sought professional help, despite 77.9% knowing that GB was abnormal. Educational status (CI: 2.054-8.223; p < 0.001), profession (CI: 0.75-2.19, p < 0.001), and health facility (CI: 0.36-1.22; p < 0.001) were major predictors of GB knowledge level.
Conclusion: Significant knowledge gaps and misconceptions regarding GB exist among healthcare workers. While encouraging awareness levels were observed among tertiary-educated participants and medical doctors, substantial disparities existed across other professional and educational groups. Targeted education and health promotion interventions are essential for enhancing healthcare workers' role in promoting oral health, preventing periodontal disease, and dealing with its systemic consequences.
Navigating digital morality and Hisba board's strategies: The challenges of online immorality induction among Youth in Kano State, Nigeria
Authors: Abdulkadir Abubakar Adam  , Aina-Obe Shamsuddin Bolatito
Published: February 2025

This study explores the efforts of the Kano State Hisba Board to combat online immorality among Muslim youth in Kano State, Nigeria, amidst the pervasive influence of social media. Social media serves as both a platform for positive engagement and a source of behaviors that challenge traditional moral values. In response, the Hisba Board employs a comprehensive approach, including proactive interventions, psychological support, and collaboration with various organizations, to curb the erosion of moral values resulting from social media exposure. The study is guided by social learning theory, which supports the Board's efforts in modeling positive behaviors, and deterrence theory, which underpins their enforcement actions. Data was gathered through in-depth interviews with Hisba Board personnel and analyzed using thematic analysis. The findings reveal that while the Hisba Board’s strategies are effective, they are hindered by challenges such as financial constraints, political interference, and the influence of social media personalities. The study highlights the complex nature of modern moral education and the necessity for adaptive strategies, concluding that addressing these challenges is essential for the sustainability and effectiveness of the Hisba Board’s initiatives. A significant recommendation is the creation of an educational institution focused on moral, religious, and cultural education to institutionalize moral guidance for youth.
Toxicity amelioration potentials of Spondias mombin aqueous leaf extract in cadmium and mercury co-exposed Wistar rats
Authors: Samson Eruke Okoro  , Bright Ahiakwo Ogbo  , Kingsley Chukwuemeka Patrick-Iwuanyanwu
Published: February 2025

This study investigated the corrective effects of aqueous leaf extract of Spondias mombin (SM) on liver and kidney function in Wistar rats co-exposed to mercury and cadmium toxicities. Thirty (30) male rats weighing 120–150g were randomly divided into ten (10) groups of three (3) rats each. Group I which served as negative control received normal rat feeds and distilled water ad libitum; Groups II and V received different doses of CdCl2 and HgCl2 respectively, with no plant extract administered. Groups III and VI received toxicants and 500 mg/kg b. w. of SM daily; Groups IV and VII received toxicants and 100 mg/kg b. w. of silymarin; Group VIII rats were co-exposed to CdCl2 and HgCl2 toxicants. Group IX rats were administered with CdCl2, HgCl2 and SM while Group X received CdCl2, HgCl2 and silymarin. The experimental animals were sacrificed at day 28; blood samples were collected for biochemical assays while the liver and kidney were harvested for histological investigations. Administration of CdCl2 and HgCl2 to rats resulted in significant (P<0.05) increase in serum liver enzymes activity. However, treatment of the exposed groups with SM resulted in reduced ALT activity. Administration of the toxicants also resulted significant (P<0.05) detrimental changes in kidney function; Creatinine levels increased from 159.67±0.88µmol/l in Group I to 213.67±34.21µmol/l in the CdCl2 + HgCl2 group. Histological assessment revealed that liver architecture was preserved by the administered leaf extract. Findings suggest that S. mombin leaves exhibit ameliorative effects against mercury and cadmium-triggered stress and organ damage in Wistar rats.
Analisis Switching Behavior Pengguna Produk Buy Now Pay Later Menggunakan Push Pull Mooring Framework
Authors: Yuliyanti Tiara , Champaca Mychelia
Published: February 2025

The objective of this research is to identify the impacts of privacy concern as a push effect, monetary rewards of alternative as a pull effect, and inertia as a mooring effect on product switching behavior in buy now pay later among SPaylater users in Jabodetabek. The respondents of this quantitative study were selected through purposive sampling, and the data was analyzed using SEM-PLS (Structural Equation Modeling – Partial Least Squares). The results of the assessment lead to conclusions that privacy concern as a push effect positively and significantly influences the switching behavior, that monetary rewards of alternative as a pull effect positively and significantly influences the switching behavior, and that inertia as a mooring effect has no effect on the switching behavior. Further, the results also indicate that inertia is not significant in moderating the impact of privacy concern on the switching behavior and the impact of monetary rewards of alternatives on the switching behavior. In addition this study finds factors that make individuals switch to other paylater services based on migrating or switching theory as well as consumer’s decision-making processes based on the studied variables
Pengaruh Harga, Kualitas Produk dan Promosi Terhadap Keputusan Pembelian Pada UD Kerupuk Rambak Lestari Eco Tulungagung
Authors: Putri Firnanda Titania , Saptaria Lina
Published: February 2025

The study aims to assess how price, product quality, and promotion affect purchase decisions on Lestari Eco Tulungagung. Primary data are gathered through questionnaire distribution, supplemented by secondary data from a literature review. The population consists of all consumers of Lestari Eco Tulungagung, with a sample of 100 respondents selected employing the Accidental Sampling method. Employing a quantitative approach, the research utilizes data analysis methods including instrument testing, classical assumptions, and hypothesis testing. Analysis conducted using SPSS version 27 indicates that both collectively and individually, price, product quality, and promotion significantly impact purchase decisions on Lestari Eco Tulungagung.
Approaches of Russian educators at the turn of the 19th-20th centuries to the environmental education of the younger generation
Authors: Kyuregina Anna Victorovna
Published: February 2025

The aim of the work is to identify approaches to presenting environmental issues that were substantiated by educators of the 19th – early 20th centuries. The article examines the origins of anthropocentric and biocentric positions in society. The scientific novelty lies in the fact that the work establishes a connection between the views expressed at the turn of the century on environmental protection and natural science issues and current problems, and, based on the studied approaches and modern interdisciplinary knowledge about nature, proves the promise of the biocentric concept, which provides for the integration into education of the idea of the need to strive to reduce all cruelty to living beings. As a result, the approaches of educators at the turn of the 19th and 20th centuries to the presentation of environmental topics were determined: pragmatic-naturalistic, humanistically oriented within the framework of the anthropocentric worldview paradigm, biocentric. It has been established that they differed in their positions regarding humanism and cruelty towards wildlife, and that the accumulation of interdisciplinary knowledge indicates the promise of a biocentric approach based on bioethical values.
Intertextual reference to Winnie the Pooh: A study on the effects of Disney and Soviet adaptations on the perception of A. A. Milne’s book
Authors: Bozorova Dilshoda Tulkin kizi
Published: February 2025

This research is grounded on a comparative intertextual analysis of A. A. Milne’s “Winnie the Pooh” narrative and the Disney and Soviet cartoons inspired by it. The objective of the present study was to ascertain the way of a subsequent original source text reading (A. A. Milne’s “Winnie the Pooh”) nature differs qualitatively and empirically if a Disney or Soviet animated version of “Winnie the Pooh” is employed as the ur-text (source text). The identification of the phenomenon entailed conducting a comparative analysis of the narrative form and its corresponding animated versions. The analysis was undertaken with a particular emphasis on the aspects of characters, their appearance and plot. This intertextual analysis was further enriched by a historical and genealogical background, providing valuable contextual insights that are often overlooked in comparative studies. The novelty of the research resides in the examination of the characters, their appearance and plot in these adaptations, thereby providing a comprehensive understanding of how they interpret and reinterpret the original narrative. The study adopts a unique methodology by employing Disney or Soviet cartoons as the primary source material, diverging from the conventional approach of relying on A. A. Milne’s original book. Importantly, the research also acknowledged the limitations of adaptations, suggesting that reliance on cartoons can lead to a partial understanding of the original text. Put differently, the study’s findings indicate that the utilization of Disney or Soviet cartoons as a primary source material may hinder a comprehensive perception and understanding of the original text features. Conversely, it can result in the perception of the original texts in a distinct spirit and nature. Overall, this study’s innovative approach and findings contribute to the fields of comparative literature and adaptation studies.
The artistic image of Chukotka in S. Zabarova's novel "Vatyrkan"
Authors: Nuzhnaia Tatiana Vladimirovna
Published: February 2025

The aim of the research is to characterize the artistic image of Chukotka in S. Zabarova's novel "Vatyrkan" at the level of text composition, principles of plot development, and poetic expression. The author of the article shows that the details of the Chukchi landscape, the description of traditions, flora and fauna of this region, the personification of natural objects, and the use of the "concomitant mood feature" technique in the novel recreate the national flavor, demonstrate the influence of natural phenomena on the character and fate of man, change the lines of the plot narrative, and highlight the specifics of the psychology of the characters. The novel "Vatyrkan" by modern Russian writer Svetlana Zabarova, in a special way and with the author's poetics, paints a picture of Chukotka for the reader that requires separate comprehension. This novel has not yet been the object of special scientific analysis: for the first time, the image of Chukotka in the novel "Vatyrkan" is characterized at the level of composition, principles of plot development, and means of verbal expressiveness, which represents the scientific originality of the research. As a result, it is proved that the image of Chukotka performs the function of the main emotional background for the development of the plot. Poetic images of nature become links that connect the whole picture of the artistic image of Chukotka into a single whole. The description of the northern nature contains the author's characterization of the landscape space of Chukotka, accurately reflecting natural realities, and the poetic style emphasizes the specifics of the local color and creates its own metaphysics of the novel and the image of Chukotka.
Lung X-ray Image Similarity Analysis Using RGB Pixel Comparison Method
Authors: Pariyasto Sofyan , . Suryani , Warongan Vicky Arfeni , Sari Arini Vika , Widiyanto Wahyu Wijaya
Published: February 2025

The high death rate caused by pneumonia and Covid-19 is still quite high. Based on data released by WHO, 14% of deaths in children under 5 years old are caused by pneumonia. One of the processes carried out to help the diagnosis process is to look at lung images using X-Ray images. To obtain information about normal lung X-Ray images, Pneumonia and Covid-19, calculations are carried out using the color difference in each pixel of the X-ray image. The calculation process will provide output in the form of numbers in units of 0 to 100. This is done to facilitate the process of identifying the similarity of each X-Ray image being compared. The research stages are carried out with stages starting from adjusting the image size, then by breaking down the pixel values of the two images being compared and the process of calculating the difference in value from each pixel with the same coordinates. After calculating a combination of 30,000 combinations using 300 x-ray images, the results obtained in the form of the level of similarity between normal x-ray images and pneumonia x-ray images are the highest with a similarity percentage of 80.06%. The combination of normal images and pneumonia images is 10,000 combinations using 100 normal x-ray images and 100 pneumonia x-ray images. Normal x-ray images and covid x-ray images have a similarity of 79.18%. The combination of normal images and covid images is 10,000 combinations. The combination uses 100 normal x-ray images and 100 covid x-ray images. Pneumonia x-ray images and covid x-ray images have the lowest similarity level of 78.87%. The combination of pneumonia x-ray images and covid x-ray images is 10,000 combinations. The data used in the combination are 100 pneumonia images and 100 covid images. From the test results, the information obtained was that Accuracy was worth 0.54, Precision was worth 0.54, Recall was worth 0.59 and F1-score was worth 0.56.
Knowledge Discovery Through Topic Modeling on GoPartner User Reviews Using BERTopic, LDA, and NMF
Authors: Pratiwi Metti Detricia , Tania Ken Ditha
Published: February 2025

Transportation and food delivery services are one of the driving sectors of the digital economy in Indonesia. The e-Conomy SEA 2023 report shows that the transportation and food delivery services sector experienced a decrease in GMV in 2023 by 8% from the previous year. The decline in GMV indicates a decrease in transaction value in the transportation and food delivery service sector. GoPartner is an application developed by GoTo to assist driver partners in carrying out various services in the gojek application which is one of the applications engaged in the transportation sector and food delivery services. Drivers as people who provide services directly to consumers are certainly one of the factors that influence customer behavior in using services. To find out the problems faced by drivers, this research conducts knowledge discovery through topic modeling on GoPartner application reviews using BERTopic, LDA, and NMF, each of these methods has a different approach. Based on the research results and the quality of the topics generated, BERTopic and LDA have better quality in analyzing GoPartner user reviews.
Comparative Performance Analysis of Optimization Algorithms in Artificial Neural Networks for Stock Price Prediction
Authors: Wijaya Ekaprana , Soeleman Moch. Arief , Andono Pulung Nurtantio
Published: February 2025

This study aims to enhance price prediction accuracy using Artificial Neural Networks (ANN) by comparing three optimization methods: Stochastic Gradient Descent (SGD), Adam, and RMSprop. The research employs a systematic approach involving the design, training, and validation of ANN models optimized by these techniques. Performance metrics such as Mean Squared Error (MSE), Mean Absolute Error (MAE), and R Square are utilized to evaluate the effectiveness of each method. The results indicate that the Adam optimization method outperforms the others, achieving the lowest MSE of 0.0000503 and the lowest MAE of 0.0046, resulting in an impressive R Square value of 0.9989. Adam's superior performance can be attributed to its adaptive learning rate mechanism, which effectively adjusts to the high volatility and noise characteristic of stock price data, enabling the model to converge faster and more accurately. In comparison, SGD produced a higher MSE of 0.0001208 and MAE of 0.0075, while RMSprop yielded an MSE of 0.0000726 and MAE of 0.0059. These findings highlight Adam's ability to significantly enhance the predictive capabilities of ANN, particularly in dynamic and complex datasets, making it a preferred choice for this application. The novelty of this research lies not only in its comparative analysis of various optimization methods within the ANN framework but also in the exploration of unique ANN features and their application to a specific stock price prediction case study, providing deeper insights into the practical implications of optimization strategies. This study lays the groundwork for future research by suggesting the exploration of additional optimization algorithms and more complex neural network architectures to further improve prediction accuracy.
Automatic Fish Feeding and Temperature Control System for Aquariums Based on Internet of Things (IoT)
Authors: Widyati Made Ayu Sri , Anshori Yusuf , Lamasitudju Chairunnisa Ar. , Laila Rahmah , Joefrie Yuri Yudhaswana
Published: February 2025

Keeping fish in aquariums has become one of the people's hobbies. An important factor in fish maintenance is the process of feeding and controlling the temperature of the aquarium. However, with various activities, fish care is often not carried out properly. This study develops an automatic system for feeding and controlling the temperature of the aquarium with goldfish as the test object. This study designs an automatic system to control the temperature and feeding in the aquarium using hardware such as a DS18B20 temperature sensor, load cell, and ultrasonic sensor. This system is controlled by ESP32 for reading sensor data and Arduino Uno for controlling the relay, cooling system, heater, and servo motor. ESP32 reads sensor data and sends it via MQTT to Node-red. Based on this data, the system regulates the temperature by activating the cooler (peltier and water pump) if the temperature is >28â„ƒ and turning off the cooler when the temperature is <26â„ƒ. The heater is active if the temperature is <24â„ƒ and stops when the temperature reaches 26â„ƒ. Feeding is carried out according to schedule, with servo 1 dropping feed into the load cell until the weight reaches the target weight. After that, servo 2 moves the feed into the aquarium. If the weight has not reached the target, servo 1 continues to be active. Based on the test, the average percentage of error in the temperature sensor is 0,08%, the weight sensor is 1.10%, and the ultrasonic sensor is 1.61%. This system successfully performs four times a day feeding and controls the temperature within the optimal range for goldfish, which is 24-28â„ƒ. The test results show that this system functions well and is in accordance with the research objectives.
Implementation of the K-Nearest Neighbors (KNN) Regressor Method to Predict Toyota Used Car Prices
Authors: Ghaisani Mauhiba Salmaa , Baita Anna
Published: February 2025

The development of the automotive industry in Indonesia has experienced significant growth in recent decades, especially in the used car market segment. One of the used car brands that has high demand is Toyota, because it has a reliable reputation and quality. However, there are challenges that are often faced by sellers and buyers of used cars, namely in determining prices correctly and accurately. Incorrect pricing can be detrimental to one party, either the price is too high or too low. Prices that are too high can slow down the turnover of goods in the market. While low prices can cause sellers to experience losses. The purpose of this study is to help find good performance in determining the price of used Toyota cars. This study will use one of the Machine Learning methods, namely K-Nearest Neighbors Regressor. The KNN method is one method that can be used for classification and regression. In addition, this algorithm is a simple algorithm and can provide accurate prediction results based on its proximity to existing data. This study uses selected relevant features, namely model, year, kilometer, tax, mpg, and cc. The results of this study obtained MAE = 3.31686, MSE = 26.43640, RMSE = 5.14163, and R2-Score = 0.99501 using 90:10 data division and k = 1. This proves that KNN Regressor is an effective method in predicting the price of used Toyota cars. Therefore, the K-Nearest Neighbors (KNN) Regressor method is able to provide a fairly accurate price estimate with a minimal error rate.
Optimization of Decision Tree Algorithm for Chronic Kidney Disease Classification Based on Particle Swarm Optimization (PSO)
Authors: Aulia Fitri Laili , Baita Anna
Published: February 2025

The body's most important vital organ is the kidney. The kidneys are responsible for maintaining acid and alkaline balance, regulating blood pressure, and filtering blood to prevent the accumulation of metabolic waste in the body. However, chronic kidney disease does not always show symptoms and signs but can progress to kidney failure. Algorithm-based predictive methods in data processing show great potential in the health field to predict various diseases, one of which is kidney disease. One of the techniques in data mining is classification. One of the classification algorithms in data mining that is often used to detect diseases is Decision Tree. In this study, it is expected that by combining these two methods, it will make a new contribution to the Decision Tree algorithm that is optimized with Particle Swarm Optimization (PSO) for the selection of relevant features, and improve the weaknesses in the model to improve more accurate predictions. By performing feature selection with the Particle Swarm Optimization (PSO) algorithm, it is shown that the use of Particle Swarm Optimization (PSO)  can improve the accuracy and performance of the Decision Tree algorithm in the chronic kidney disease classification process. The accuracy of the Decision Tree algorithm with feature selection using Particle Swarm Optimization (PSO) is higher, reaching 0.967%, compared to the accuracy of Decision Tree without Particle Swarm Optimization (PSO) feature selection which is only 0.95%. This shows that Particle Swarm Optimization (PSO) is effective in selecting relevant features so that it can significantly improve model performance.
Kandungan B-Total Tanah, Serapan B, dan Hasil Bawang Merah (Allium ascalonicum L.) Akibat Pemberian Pupuk Boron dan N, P, K pada Inceptisols Jatinangor
Authors: Mubarok Zakka Tafwidh , Sofyan Emma Trinurani , Yuniarti Anni , Sudirja Rija , Rachmadi Meddy
Published: February 2025

a pada Inceptisols adalah rendahnya tingkat kesuburan tanah. Kandungan nutrisi dalam tanah harus sesuai dengan kebutuhan
tanaman. Jika terlalu sedikit, tanaman akan mengalami kekurangan, sebaliknya, kelebihan nutrisi menyebabkan tanaman mengalami
toksisitas. Penelitian ini bertujuan untuk menentukan pengaruh aplikasi pupuk Boron dan N, P, K terhadap B-total tanah, penyerapan
B, dan hasil bawang merah pada Inceptisols Jatinangor, serta untuk memperoleh dosis perlakuan yang memberikan hasil tertinggi.
Penelitian ini dilakukan di Lahan Percobaan Fakultas Pertanian Universitas Padjadjaran, Jatinangor, Kabupaten Sumedang, Jawa
Barat, yang terletak pada ketinggian 794 m di atas permukaan laut. Eksperimen ini menggunakan metode Rancangan Acak Lengkap
Blok (RALB), yang terdiri atas 10 perlakuan dan diulang tiga kali, yaitu Kontrol; N, P, K; ½ Boron + ¾ N, P, K; ¾ Boron + ¾ N, P,
K; 1 Boron + ¾ N, P, K; 1½ Boron + ¾ N, P, K; ½ Boron + 1 N, P, K; ¾ Boron + 1 N, P, K; 1 Boron + 1 N, P, K; dan 1½ Boron + 1
N, P, K. Hasil percobaan menunjukkan bahwa perlakuan 1 Boron + 1 N, P, K memberikan efek terbaik dalam meningkatkan B-total
tanah, penyerapan B, dan hasil bawang merah (jumlah umbi per tanaman, diameter umbi, berat basah umbi per tanaman, dan berat
basah umbi per hektar) dengan hasil masing-masing 801,74 ppm; 0,59 mg per tanaman; 10,7 umbi per tanaman; 43,0 mm; 74,9 g per
tanaman; dan 15,11 Mg ha-1
.
Pengaruh Pemberian Kombinasi Ekstrak Daun Mengkudu dan Daun Sirih Terhadap Jamur Fusarium sp. Penyebab Penyakit Layu Fusarium pada Tanaman Cabai
Authors: Roeslan Akhyar , Sofyan Sofyan , Khurota'ayun Khusna
Published: February 2025

Penelitian ini bertujuan untuk mengetahui karakteristik morfologi patogen jamur Fusarium sp. penyebab penyakit layu
fusarium pada tanaman cabai; mengetahui pengaruh pemberian kombinasi ekstrak daun mengkudu dan daun sirih terhadap
pertumbuhan jamur Fusarium sp. penyebab penyakit layu fusarium pada tanaman cabai secara in vitro; serta mendapatkan konsentrasi
terbaik kombinasi ekstrak daun mengkudu dan daun sirih yang mampu menghambat pertumbuhan jamur patogen Fusarium sp.
penyebab penyakit layu fusarium pada tanaman cabai secara in vitro. Pestisida nabati ekstrak daun mengkudu dan sirih
dikombinasikan dalam konsentrasi 5; 10; dan15%. Keberhasilan pemberian kombinasi ekstrak daun mengkudu dan daun sirih dalam
menekan (menghambat) pertumbuhan jamur Fusarium sp. penyebab penyakit layu fusarium pada tanaman cabai diamati melalui
diameter pertumbuhan jamur dan persentase daya hambat jamur. Data yang diperoleh dianalisis dengan sidik ragam dan dilanjutkan
dengan uji BNT pada taraf 5%. Hasil penelitian menunjukkan bahwa terdapat pengaruh nyata pada pemberian kombinasi ekstrak daun
mengkudu dan daun sirih terhadap pertumbuhan jamur Fusarium sp. penyebab penyakit layu fusarium.
Keanekaragaman Makrofauna Tanah di Lahan Karet Bekas Pembakaran dan Tidak Terbakar di Desa Linggang Amer, Kabupaten Kutai Barat, Kalimantan Timur
Authors: Jannah Rabiatul , Tobian Agustinus , Nurhartanto Raden Mas , Prasetyo Rahadian Adi
Published: February 2025

Makrofauna tanah memainkan peran penting dalam habitat di dalam tanah. Salah satu tugas makrofauna tanah adalah menjaga
kesuburan tanah dengan mengembalikan bahan organik, mendistribusikan nutrisi, meningkatkan aerasi tanah, dan lain-lain.
Makrofauna berperan sangat penting dalam ekosistem tanah dan masih terbatasnya informasi mengenai keanekaragaman makrofauna
tanah yang terdapat pada lahan karet, maka perlu dilakukan penelitian mengenai keanekaragaman makrofauna tanah di lahan karet
bekas pembakaran dan tidak terbakar. Waktu pelaksanaan penelitian ini adalah bulan Desember 2023 sampai dengan bulan Mei 2024.
Penelitian ini dilaksanakan di Desa Linggang Amer, Kecamatan Linggang Bigung, Kabupaten Kutai Barat dan Laboratorium Fakultas
Pertanian Universitas Mulawarman. Metode penelitian yang digunakan yaitu metode eksploratif berupa survei. Pengambilan sampel
dilakukan pada lahan karet bekas pembakaran dan tidak terbakar. Metode pengambilan sampel makrofauna tanah menggunakan
metode sortir tangan dan metode perangkap jebak (pitfall trap), lalu untuk metode pengambilan sampel karakteristik sifat fisik tanah
adalah contoh tanah utuh dan contoh tanah tidak utuh atau terusik.Berdasarkan hasil klasifikasi seluruh pengamatan makrofauna tanah
pada lahan karet bekas pembakaran dan lahan karet tidak terbakar, makrofauna tertangkap sebanyak 15 jenis. Lahan karet bekas
pembakaran memiliki rata-rata Indeks Keanekaragaman (H’) 1,59925, rata-rata Indeks Kemerataan (E) 0,60676, dan rata-rata Indeks
Dominasi (C) 0,23565. Lahan karet tidak terbakar memiliki rata-rata Indeks Keanekaragaman (H’) 1,46309, rata- rata Indeks
Kemerataan 0,54028, dan rata-rata Indeks Dominasi (C) 0,2737. Karakteristik sifat fisik tanah di lahan karet bekas pembakaranmaupun lahan karet tidak terbakar memiliki tekstur penyebaran partikel adalah Silty Loam (SiL), rata-rata bobot isi di lahan karet
bekas pembakaran 0,81 g cm-3
, rata-rata berat jenis tanah 2,27 g cm-3
, rata-rata porositas 65,45%, serta rata-rata kadar air 41,31%.
Lahan karet tidak terbakar mempunyai rata-rata bobot isi 0,79 g cm-3
, rata-rata berat jenis 2,28 g cm-3
, rata-rata porositas 64,78%,
dan rata-rata kadar air 40,96%.
EXPERIENCES OF PARENTS WITH AUTISM AT THE AUTISM SERVICE CENTER IN BONTANG CITY
Authors: Tsania Rahmatina Alya  , Sri Murlianti
Published: February 2025

Kota Bontang menjadi kota yang sangat kuat memperhatikan layanan terhadap anak-anak autis diantara kota-kota yang berada di Kalimantan Timur. Terdapat 5 Autis Center di Kota ini dengan layanan yang memadai. Tahun 2023, Dinas Kesehatan setempat mencatat ada 13 anak autis, akan tetapi diperkirakan kasus autisme di Bontang menyentuh angka 100-150 anak. Tingginya autisme di Bontang, diperkirakan akibat dari kepungan industri yang berpotensi menimbulkan dampak pada penurunan kualitas udara dan memberikan dampak terhadap kesehatan masyarakat, sehingga kasus ini perlu adanya perhatian khusus dari berbagai kalangan. Bagi orang tua dengan anak autis dihadapkan berbagai tantangan serta beban selama pengasuhan menghadapi tekanan-tekanan sosial baik dari lingkungan keluarga, sekolah anak dan lingkungan luar. Artikel ini menggambarkan pengalaman-pengalaman orang tua dalam merawat anak autis. Wawancara mendalam dilakukan terhadap 5 orang tua anak penyandang autis dan beberapa terapis di sebuah pusat layanan anak autis di Bontang. Para orang tua penyandang Autis mendapatkan dukungan formal yang cukup kuat dinas terkait, terutama pada proses pendidikan dan layanan terapi di pusat layanan autis milik pemerintah. Namun di sisi lain, para orang tua mengalami berbagai tantangan saat merawat mereka di rumah, saat harus menghadapi tekanan keluarga maupun lingkungan luar.