bluuebunny/crossref_metadata_2025 huggingface dataset:
Análise de dados bibliográficos: estudo de caso no Catálogo Coletivo Nacional de Publicações Seriadas (CCN)
Authors: Costa Bruno Carlos da Cunha , Santos Gabriélle Helpis dos , Viana João Gabriel Grandotto , Nascimento Renan Luiz da Silva , Santos Renan Barbosa dos , Arakaki Ana Carolina Simionato
Published: June 2024

Introdução: O Catálogo Coletivo Nacional de Publicações Seriadas (CCN) é uma base que reúne uma vasta variedade de publicações de bibliotecas de instituições acadêmicas e de pesquisa em todo o Brasil. O objetivo é explorar a convergência entre Biblioteconomia e Ciência de Dados, de maneira aplicada, destacando as extrações da base do CCN após sua modernização e reestruturação, isto é, demonstrando os modelos preditivos e componentes de inteligência artificial generativa. Metodologia: Utilizando uma abordagem empírica baseada no CCN, identifica-se a distribuição das publicações por conteúdo, ano e geografia, fornecendo insights sobre a pesquisa no Brasil. Resultados: Modelos preditivos foram desenvolvidos para estimar o volume de publicações, enquanto a exploração de componentes de Inteligência Artificial Generativa visa melhorar a interação com o CCN. Conclusão: A conclusão destaca o potencial da integração de tecnologias de IA para aprimorar o acesso e a interação com o CCN, impulsionando avanços na gestão e disseminação da informação acadêmica
Produzindo sentidos de educação integral nas escolas cidadãs integrais
Authors: Rodrigues Ana Cláudia Silva , Elias Joana Karoline da Silva , Honorato Rafael Ferreira Souza
Published: June 2024

Este texto se insere nos debates nacionais sobre a Política de Educação Integral. Nosso objetivo foi compreender os sentidos que têm sido produzidos nos currículos da Educação Integral no estado da Paraíba. A metodologia se amparou numa abordagem qualitativa integrada aos estudos da Teoria do Discurso (TD) de Ernesto Laclau e Chantal Mouffe (2015), por esta considerar as dinâmicas de conflito, negociação e (re)configuração da realidade educacional, problematizando a luta pela produção de sentido hegemônico e os antagonismos produzidos na política. A partir de entrevistas semiestruturada com professores, gestores, estudantes e representantes de pais, foi possível identificar que a política tem funcionado em condições precárias levando em consideração a infraestrutura, formação e remuneração dos atores. O discurso curricular tem se apoiado metaforicamente na totalidade do ser, em busca de uma plenitude impossível de constituir-se em meio a atuação das políticas em que as demandas dos contextos e atores assumem prioridade na atuação.
Intervenciones de la tradición política y pedagógica humanista-cristiana en la región de Santa Fe (Argentina) entre 1950 y 1983. Aportes para su análisis en tiempos de autoritarismo
Authors: Gimenez Juan Cruz
Published: June 2024

El ejercicio de escritura en estas líneas responde a una convocatoria específica de artículos para un dossier temático sobre memoria e historia, cultura y educación en contextos autoritarios. Una oportunidad de poder pensar, ordenar y organizar ideas, lecturas y diálogos propios a un entramado complejo de circulación de ideas a través de actores e instituciones en el espacio sudamericano. El mundo de ideas la circulación de las mismas son las coordenadas necesarias para indagar en la construcción de sentidos, experiencias y resistencias alrededor de la identidad obrero – estudiante en un espacio y tiempo definido. La propuesta es detener nuestra mirada en función de una perspectiva de mediana duración que podemos definir como parte un programa humanista cristiano –a partir de una abundante bibliografía académica al respecto- que va tomando forma en distintas etapas y en particular luego de la segunda guerra mundial. En estas líneas se presenta al lector y lectora potencial, una aproximación a modo de derrotero de un conjunto de experiencias, debates y actores de la galaxia eclesiástica en la ciudad de Santa Fe y la región metropolitana entre 1950 y la vuelta a la democracia en 1983. Una primera hipótesis compartida es la diversidad de intervenciones que se materializan en la ciudad en dos momentos bien diferenciados -aunque en un mismo ciclo político caracterizado por el creciente autoritarismo.
Investigar y publicar. 2. Cómo responder la pregunta “diseño del estudio”
Authors: Rey Rubiano Adriana Margarita
Published: June 2024

Introducción: el diseño del estudio dirige la metodología para obtener la respuesta a la pregunta de investigación, y tener claro cuáles son los tipos de investigación, sus ventajas y desventajas, ayuda a la validez de los resultados.
Objetivo: describir los diseños de investigación experimental y no experimental, las ventajas y desventajas de cada uno de estos diseños con el fin de guiar al investigador a la mejor escogencia de este con base en la pregunta de investigación.
Resultados y conclusiones: se revisa la literatura con el fin de describir las características principales, las clasificaciones más sencillas y de mayor utilidad para determinar el mejor diseño de estudio. Se determina además la población de estudio, validez interna y externa de los estudios a fin de entender, basados en la pregunta de investigación, la posible extrapolación de los resultados.
Chiral Isothiourea-Catalyzed Acylative Dynamic Kinetic Resolu-tion of 3-Hydroxyphthalides for Enantioselective Synthesis of Phthalidyl Ester
Authors: Hao Zeyang , Lin Wei , Yuan Zi-Qi , Zhang Wei , Li Xin
Published: June 2024

Phthalides serve as core structures pervasive in a wide array of natural
products and drug molecules, which display a diverse array of biological
activities. We report herein a highly efficient dynamic kinetic
resolution of 3-hydroxyphthalides by chiral isothioureas (ITUs)
catalyzed asymmetric acylation, facilitating the effective synthesis of
a variety of chiral phthalidyl esters with good yields and
enanti-oselectivities. Notably, this reaction features mild reaction
conditions, expansive substrate scope as well as good functional group
compatibility. In addition, the practicality of this method is
underscored by the large-scale synthesis, reduced catalyst loading
exper-iment and the synthesis of the chiral phthalidyl ester prodrug.
Modern marketing strategies and organizational management in the era of globalization
Authors: Dziwulski Janek , Harasim Wiesław
Published: June 2024

The article highlights the importance of components of intellectual capital in developing the organisation’s strategy. Information and modern technologies are the key to effective implementation of the marketing strategy of the company.
The determinants of tourism development in the Płock region
Authors: Powęska Halina , Pawłowski Mateusz
Published: June 2024

In the region of Płock, which includes the city and the surrounding county, the right conditions for tourism to develop are in place. This is important for the city, as an ever more vibrant economic center, as well as for the outlying rural areas, for which, next to agriculture, tourism could play an important role in socio-economic development. Given that, the article presents an analysis of the potential of tourist assets, the level of development of the tourist infrastructure and the region’s transport accessibility. The analysis reveals disparities in terms of the saturation of tourist assets and tourist infrastructure facilities. The city of Płock is much more developed than the rural areas. However, for the Płock region as a whole, the rural and urban areas are complementary. A factor that negatively affects the development of tourism in the region is the poorly developed transport infrastructure, which somewhat limits accessibility. Improving it is utmost importance if the region is to develop its tourism potential and other socio-economic areas.
Teacher motivation to work in universities – the example of the National Defence University
Authors: Wyszecka Justyna
Published: June 2024

The aim of this article is to emphasize the importance of teacher motivation to work. I was interested in discovering key factors which contribute to teacher motivation to work at university, to doing research, to teaching and doing work of an organizational nature among civilian, officers and reserve or retired officers. It was found very important due to influence of motivation on, e.g. quality of school education or science researches. In order to indicate the main motivating factors to work in the university I used the results of diagnostic survey which was done among a representative research sample at the National Defence University (NDU) in Warsaw.
Current options in obesity pharmacotherapy for children and adolescents
Authors: Jung Hae Woon
Published: June 2024

Obesity is pervasive from infancy to adulthood and presents a major challenge to healthcare systems worldwide. In children and adolescents, the prevalence of overweight and obesity continues to increase, especially in classes II and III, and in younger toddlers and preschool-aged children. Childhood obesity may be associated with comorbidities in all organ systems and increased cardiovascular risk, as it tracks into adolescent and adult obesity. Although intensive health and behavior lifestyle treatments form the foundation of obesity treatment, there are limitations in the extent and maintenance of weight loss with lifestyle modifications alone. The offering of obesity pharmacotherapy in adjunct to intensive lifestyle treatment in children aged > 12 years may improve outcomes in pediatric obesity. In this review, we discuss currently approved medications for childhood and adolescent obesity, focusing on orlistat, phentermine monotherapy, glucagon-like peptide-1 receptor agonists (liraglutide and semaglutide injections), and phentermine/topiramate combination.
Biomarkers in pursuit of precision medicine for acute kidney injury: hard to get rid of customs
Authors: Lin Kun-Mo , Su Ching-Chun , Chen Jui-Yi , Pan Szu-Yu , Chuang Min-Hsiang , Lin Cheng-Jui , Wu Chih-Jen , Pan Heng-Chih , Wu Vin-Cent
Published: June 2024

Traditional acute kidney injury (AKI) classifications, which are centered around semi-anatomical lines, can no longer capture the complexity of AKI. By employing strategies to identify predictive and prognostic enrichment targets, experts could gain a deeper comprehension of AKI’s pathophysiology, allowing for the development of treatment-specific targets and enhancing individualized care. Subphenotyping, which is enriched with AKI biomarkers, holds insights into distinct risk profiles and tailored treatment strategies that redefine AKI and contribute to improved clinical management. The utilization of biomarkers such as N-acetyl-β-D-glucosaminidase, tissue inhibitor of metalloprotease-2·insulin-like growth factor-binding protein 7, kidney injury molecule-1, and liver fatty acid-binding protein garnered significant attention as a means to predict subclinical AKI. Novel biomarkers offer promise in predicting persistent AKI, with urinary motif chemokine ligand 14 displaying significant sensitivity and specificity. Furthermore, they serve as predictive markers for weaning patients from acute dialysis and offer valuable insights into distinct AKI subgroups. The proposed management of AKI, which is encapsulated in a structured flowchart, bridges the gap between research and clinical practice. It streamlines the utilization of biomarkers and subphenotyping, promising a future in which AKI is swiftly identified and managed with unprecedented precision. Incorporating kidney biomarkers into strategies for early AKI detection and the initiation of AKI care bundles has proven to be more effective than using care bundles without these novel biomarkers. This comprehensive approach represents a significant stride toward precision medicine, enabling the identification of high-risk subphenotypes in patients with AKI.
Unveiling the enigma of acute kidney disease: predicting prognosis, exploring interventions, and embracing a
multidisciplinary approach
Authors: Pan Szu-Yu , Huang Thomas Tao-Min , Jiang Zheng-Hong , Lin Li-Chun , Tsai I-Jung , Wu Tsung-Lin , Hsu Chih-Yi , Wang Ting , Chen Hui-Chuen , Lin Yu-Feng , Wu Vin-Cent
Published: June 2024

Acute kidney disease (AKD) is a critical transitional period between acute kidney injury and chronic kidney disease. The incidence of AKD following acute kidney injury is approximately 33.6%, and it can occur without identifiable preceding acute kidney injury. The development of AKD is associated with increased risks of chronic kidney disease, dialysis, and mortality. Biomarkers and subphenotypes are promising tools to predict prognosis in AKD. The complex clinical situations in patients with AKD necessitate a comprehensive and structured approach, termed “KAMPS” (kidney function check, advocacy, medications, pressure, sick day protocols). We introduce “MAND-MASS,” an acronym devised to summarize the reconciliation of medications during episodes of acute illness, as a critical component of the sick day protocols at AKD. A multidisciplinary team care, consisting of nephrologists, pharmacists, dietitians, health educators, and nurses, is an optimal model to achieve the care bundle in KAMPS. Although the evidence for patients with AKD is still lacking, several potential pharmacological agents may improve outcomes, including but not limited to angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, mineralocorticoid receptor antagonists, sodium-glucose cotransporter 2 inhibitors, and glucagon-like peptide 1 receptor agonists. In conclusion, accurate prognosis prediction and effective treatment for AKD are critical yet unmet clinical needs. Future studies are urgently needed to improve patient care in this complex and rapidly evolving field.
Technology Acceptance Model Android Puzzle Games Based on Banten Local Culture for Early Childhood Education
Authors: Asmawati Luluk
Published: June 2024

The background to the development of an android-based multimedia model for early childhood cognitive learning requires an analysis of acceptance of puzzle games in early childhood. The aim of the research was to analyze the results of the Banten ancient mosque android puzzle game on the cognitive development of early childhood. The research methodology used a survey of 30 young children. Data collection used observation and interviews. Data analysis was carried out descriptive qualitative. The findings from the research were perceived usefulness 68%, perceived ease of use of Android puzzle games 67%, and user acceptance 88%; The results of the t test obtained a sig value of 0.472 more than 0.05 (0.472 > 0.05), so that the decision to accept Ho could be obtained. This means that there were no differences in student learning outcomes in terms of gender; The results of the t test obtained a sig value of 0.507, more than 0.05 (0.472 > 0.05), so that the decision to accept Ho could be obtained. This means that there was no difference in student learning outcomes in terms of the age range of 5 years and 6 years. The conclusion is that the acceptance of Android puzzle games is very good and can improve the cognitive learning of early childhood children aged 5-6 years. The implication of the results of this study was that the android puzzle game can be used as a cognitive learning medium for children aged 5-6 years. Android puzzle game had an impact on children's learning motivation.
A Correlational Study of Non-Mediating Mothers of Preschooler: Is Mindful Parenting Associated with Child Resilience?
Authors: Putri Ainama Nafisa , Muthmainah
Published: June 2024

There is some evidence that mindful parenting is a parenting approach that involves parents in adolescent behaviour. However, only a few studies have investigated the relationship between mindful parenting to early childhood resilience. This research aims to analyze the relationship between mindful parenting and early childhood resilience through a non-mediation correlation study. The method used is regression analysis with the cluster sampling technique. The research sample consisted of 135 mothers who had young children. The mindful parenting research instrument uses the IM-P scale, and resilience uses the RMS-25 scale, which has been adapted according to research needs. The instrument was declared valid and reliable with a Cronbach alpha value greater than 0.6, namely 0.904 for mindful parenting and 0.951 for resilience. The research results show that mindful parenting is positively correlated with children's resilience. This is proven by the significance value (0.000 greater than 0.05) and the coefficient of determination value of 41.4%, and the rest is influenced by other variables that were not researched. Mindful parenting fosters children's resilience so that it can build the ability to manage emotions, make decisions, identify problems, and respect oneself and others.
Number Light Media to Stimulate Early Mathematics Abilities in Children in Kindergarten
Authors: Mustofa Muhammad Zaenal , Suarjana I Made
Published: June 2024

The ability and understanding of basic mathematics in children, especially aged 5-6 years, is still very low or not good, obstacles to recognizing number symbols, obstacles to recognizing the concept of numbers, and obstacles to pronouncing number symbols. The main objectives of the research is to develop a Number Light media with the aim of stimulating children's knowledge of early mathematics in early childhood aged 5-6 years in Kindergarten to improve initial mathematical abilities in children aged 5-6 years in kindergarten. The research carried out selected a development model, namely ADDIE, and involved four experts, including: one media expert, one material expert, and two practitioners with learning experience. This trial was carried out on a large group consisting of 35 children. Data was collected through questionnaires and analyzed using a combined approach between quantitative and qualitative analysis. The evaluation results show a high level of validity of the Number Light media, with media experts reaching 92%, material experts 89%, practitioners 93%, and large group testing 97%. Based on these results, it is concluded that the development of Number Light media is very useful and suitable for stimulating the early mathematical abilities of children aged 5-6 years in kindergarten.
Enhancing Creative Imagination Ability in Early Childhood: A Study on Differential Learning Assisted with Loose Parts Media and Social Skills
Authors: Purwati Dwi , Astawan I Gede , Antara Putu Aditya
Published: June 2024

Developing early childhood creative imagination skills in the learning process is very important. However, there are not many efforts to implement learning models that can support the development of students' creative imagination abilities. This study aims to analyze the effect of differentiated learning aided by loose parts media and social skills on creative imagination ability, as well as whether learning models and social skills interact with creative imagination ability. The method used in this research is a quasi-experiment with a post-test-only control group design. The data collection instrument for social skills and creative imagination ability used observation sheets with a scale of 1-4. Quantitative data obtained were analyzed with a two-way ANOVA. The results showed that differentiated learning assisted by loose parts media significantly affected creative imagination ability, while social skills had no significant effect. There is an interaction between differentiated learning models assisted by loose parts media and social skills on students' creative imagination ability. There was an increase in creative imagination ability in the group of students who follow differentiated learning aided by loose parts of media with high social skills.
que pode ainda a Literatura?
Authors: Navas Diana
Published: June 2024

Diante do contexto em que estamos inseridos, imediatista e com tudo tendo seu valor mensurado a partir de seu grau de utilidade, qual seria o papel das artes e, mais especificamente, da literatura? De que forma a literatura ainda pode encontrar espaço e valor no contexto contemporâneo?
Analisis Kemampuan Pemecahan Masalah Matematis Siswa SMK Berdasarkan Tahapan Polya
Authors: Agustina Rina , Nurdiyanto Agus
Published: June 2024

The purpose of this research is to obtain data on the problem solving ability of vocational students based on Polya's stages. This type of research is descriptive qualitative. The research subjects were 5 class X students. The subject selection technique used purposive sampling. The instrument used in this research is a problem solving ability test question. Data collection techniques were carried out by tests and interviews. The data analysis technique uses the stages of Miles and Huberman, namely: reduction, presentation, and conclusion drawing. From the results and discussion, it can be concluded that the mathematical problem solving ability of vocational students based on Polya's stages, namely: (1) the understanding stage, students can understand the information in the problem well, (2) the problem planning stage, students do not write down the general formula used but use the help of images, (3) the problem solving stage, students have not been able to perform calculations appropriately, and (4) the stage of checking back and drawing conclusions, students do not carry out the process of checking back only drawing conclusions.
Pengaruh Model Problem Based Learning Terhadap Kemampuan Pemecahan Masalah Matematika Peserta Didik Kelas V SD
Authors: Loliyana Loliyana , Destini Frida , Profithasari Nindy , Wahyuning Kartika Dwi
Published: June 2024

The problem of this research is that fifth grade students lack the ability to solve math problems, this happens because students do not understand the stages in solving a problem. This study aims to describe and examine the effect and examine significant differences in the application of the PBL model to students' problem-solving abilities. This type of research is quantitative with experimental methods. There were 75 students as the population in this study, and 51 of them were used as samples. In this study, the t-test and direct regression test were used for data analysis. This study found that the use of the PBL model had a significant effect on students' ability to solve mathematical problems and there were significant differences in the application of this PBL model. Testing the first hypothesis with a simple regression test obtained the results Fcount = 7.72 ≥ Ftable = 4.24 which indicates that the application of the PBL model has a significant effect on the mathematical problem solving abilities of fifth grade students. The acquisition of the t-test is tcount = 2.737 > ttable = 2.021 shows that there is a significant difference in the application of the PBL model to students' mathematical problem solving abilities.
Analisis Sentimen Berbasis Aspek pada Ulasan Aplikasi Gojek
Authors: Rahman Resha Ananda , Pranatawijaya Viktor Handrianus , Sari Nova Noor Kamala
Published: June 2024

Penggunaan aplikasi mobile meningkat pesat di era digital, termasuk Gojek, aplikasi populer di Indonesia yang menyediakan layanan transportasi, pesan antar makanan, dan pembayaran digital. Ulasan pengguna di Play Store menunjukkan berbagai masalah yang memerlukan perhatian. Ulasan ini memberikan wawasan tentang pandangan pengguna, memungkinkan identifikasi masalah, dan pengembangan layanan. Dengan teknik Aspect Based Sentiment Analysis (ABSA), pandangan pengguna dapat dipahami lebih baik, membantu evaluasi dan perbaikan aplikasi Gojek untuk meningkatkan kualitas layanan dan kepuasan pengguna. Penelitian ini bertujuan menganalisis sentimen berdasarkan aspek-aspek dalam ulasan pengguna aplikasi Gojek di Play Store dalam bahasa Inggris, dengan mencari pola sentimen yang akurat dan mengidentifikasi aspek yang perlu diperbaiki. Data diambil dari ulasan pengguna aplikasi Gojek di Google Play Store. Teknik pemodelan topik Latent Dirichlet Allocation (LDA) digunakan untuk mengidentifikasi topik-topik relevan. Pelabelan sentimen dilakukan menggunakan model BERT, sementara evaluasi sentimen dan aspek dilakukan dengan model distilbert-base-uncased-finetuned-sst-2-english. Hasil menunjukkan bahwa model BERT mencapai akurasi tertinggi untuk sentimen sebesar 96.67% dan aspek Service sebesar 98.78%. Terdapat ruang untuk perbaikan terutama pada aspek user experience, service, dan payment. Faktor-faktor yang mempengaruhi akurasi termasuk distribusi sentimen, jumlah data, preprocessing, dan model yang digunakan.
Mobile app usage is increasing rapidly in the digital era, including Gojek, a popular app in Indonesia that provides transportation, food delivery, and digital payment services. User reviews in the Play Store indicate various issues that require attention. These reviews provide insight into user views, enabling problem identification and service development. With the Aspect Based Sentiment Analysis (ABSA) technique, user views can be better understood, helping evaluate and improve the Gojek application to improve service quality and user satisfaction. This research aims to analyze sentiment based on aspects of user reviews of the Gojek application on the Play Store in English by finding accurate sentiment patterns and identifying aspects that need to be improved. The data was taken from user reviews of the Gojek application on the Google Play Store. Latent Dirichlet Allocation (LDA) topic modeling technique was used to identify relevant topics. Sentiment labeling was performed using the BERT model, while sentiment and aspect evaluation were performed with the distilbert-base-uncased-finetuned-sst-2-english model. The results showed that the BERT model achieves the highest accuracy for sentiment at 96.67% and Service aspects at 98.78%. There is room for improvement, especially in the user experience, service, and payment aspects. Factors affecting accuracy include sentiment distribution, amount of data, preprocessing, and the model used.
Analisis Sentimen dan Emosi dari Ulasan Google Maps Untuk Layanan Rumah Sakit di Palangka Raya Menggunakan Machine Learning
Authors: Angel Aprilia Christyana Tri , Pranatawijaya Viktor Handrianus , Widiatry Widiatry
Published: June 2024

Penelitian ini bertujuan untuk menganalisis sentimen dan emosi dari ulasan Google Maps untuk layanan rumah sakit di Palangka Raya menggunakan machine learning. Data yang digunakan dalam penelitian ini adalah ulasan dari Google Maps untuk 11 rumah sakit di Palangka Raya. Data diolah dengan preprocessing untuk membersihkan dan mempersiapkan data untuk analisis. Selanjutnya, data diklasifikasikan berdasarkan sentimen (positif, negatif, netral) dengan VADER (Valence Aware Dictionary and Sentiment Reasoner) dan emosi (seperti marah, senang, sedih, dll) menggunakan NRC Lexicon. Algoritma yang digunakan dalam penelitian ini adalah K-Nearest Neighbors (KNN), Logistic Regression, dan Decision Tree. Hasil penelitian menunjukkan bahwa ketiga algoritma tersebut memiliki performa yang berbeda-beda ketika mengklasifikasikan sentimen dan emosi dari ulasan. Algoritma Decision Tree memiliki akurasi tertinggi yaitu 92%, diikuti dengan Logistic Regression dengan akurasi 86%, dan KNN dengan akurasi 48%. Penelitian ini menunjukkan bahwa machine learning dapat digunakan untuk menganalisis sentimen dan emosi dari ulasan pada Google Maps dengan baik.
This research aims to analyze the sentiment and emotion from reviews on Google Maps for hospital services in Palangka Raya using machine learning. The data used in this research was reviews from Google Maps for 11 hospitals in Palangka Raya. The data was processed using preprocessing to clean and prepare the data for analysis. Furthermore, the data was classified based on the sentiments (positive, negative, neutral) with VADER (Valence Aware Dictionary and Sentiment Reasoner) and emotions (such as angry, happy, sad, etc.) using NRC Lexicon. The algorithms used in this research are K-Nearest Neighbors (KNN), Logistic Regression, and Decision Tree. The research results show that the three algorithms have different performances when classifying sentiment and emotion from reviews. The Decision Tree algorithm has the highest accuracy of 92%, followed by Logistic Regression with an accuracy of 86%, and KNN with an accuracy of 48%. This research shows that machine learning can be used to analyze sentiment and emotion from reviews on Google Maps well.
Analisis Data Pertanian Tanaman Pangan untuk Memprediksi Hasil Panen di Kabupaten Malaka Menggunakan Metode Multiple Linear Regression
Authors: Seran Maria Kristine Bria , Tedy Frengky , Samane Ign. Pricher A. N. , Batarius Patrisius , Nani Paskalis Andrianus , Sinlae Alfry Aristo Jansen
Published: June 2024

Kabupaten Malaka merupakan daerah otonom baru dengan pertanian sebagai salah satu sektor basisnya. Dari tahun 2012 sampai dengan 2021, hasil produksi pertanian berupa tanaman pangan padi, jagung dan kacang hijau selalu mengalami kenaikan dan penurunan. Beberapa faktor yang menyebabkan terjadinya kenaikan dan penurunan hasil produksi tanaman pangan tersebut adalah adanya alih fungsi lahan pertanian menjadi lahan bangunan, masih tingginya harga bahan pangan yang ada di pasaran dan kebutuhan yang semakin meningkat, serta jumlah populasi penduduk yang terus bertambah. Untuk itu diperlukan sebuah metode yang dapat memprediksi hasil panen tanaman pangan di Kabupaten Malaka untuk 5 tahun yang akan datang. Hal ini dapat membantu Dinas Pertanian melakukan pengambilan keputusan terkait, guna menunjang Pemerintah Daerah dalam membantu menyediakan bahan pangan yang dibutuhkan bagi masyarakat setempat. Penelitian ini menggunakan metode multiple linear regression untuk melakukan prediksi. Hasil uji koefisien determinasi sebesar 0.918, menunjukkan bahwa 91.8% variasi variabel dependen dapat dijelaskan oleh variabel independen dalam model. Selain itu, terdapat tiga analisis statistik yang digunakan untuk melihat performansi dari metode multiple linear regression, yaitu nilai MSE sebesar 69611782.304, RMSE sebesar 8343.368 dan MAE sebesar 7327.695.
Malaka Regency is a new autonomous region with one of its basic sectors being agriculture. From 2012 to 2021, agricultural production in the form of rice, corn, and green beans always experienced increases and decreases. Several factors cause increases and decreases in food crop production, namely the conversion of land from agriculture to building land, the still high price of food on the market and increasing demand, as well as the population continuing to increase. For these reasons, a method is needed to predict the yield of food crops in Malaka Regency for the next 5 years. It can help the agricultural department make related decisions, to support the Regional Government in helping to provide the food needed for the local community. In this study, the multiple linear regression method was used to make predictions. The results with a coefficient of determination test of 0.918 showed that 91.8% of the variation in the dependent variable can be explained by the independent variables in the model. Apart from that, there were three statistical analyses used to see the performance of the multiple linear regression method, namely the MSE value of 69611782.304, RMSE of 8343.368, and MAE of 7327.695.
Rancang Bangun Sistem Informasi Gemilang Salon berbasis Website dengan Metode Waterfall
Authors: Butar-butar Nadya Caroline , Emanuella Rachel Graceya , Pritalia Generosa Lukhayu
Published: June 2024

Perkembangan teknologi semakin maju dan menggiring transformasi perubahan, khususnya dalam sektor bisnis. Gemilang Salon merupakan sebuah salon yang bergerak dalam bidang jasa untuk melayani berbagai perawatan sesuai kebutuhan pelanggan. Gemilang Salon baru saja beroperasi menjelang satu tahun dan masih menggunakan metode yang manual yakni melakukan pencatatan secara pembukuan setiap harinya. Gemilang Salon mengalami kesulitan dalam pengelolaan transaksi penjualan layanan perawatan. Hal ini menyebabkan informasi dalam data tidak sesuai dikarenakan kehilangan pencatatan sehingga ketidaksinkronan uang pemasukan dengan pembukuan. Tujuan penelitian ini adalah mengotomatisasikan proses bisnis yang manual menjadi sistem terkomputerisasi dalam sistem informasi berbasis website. Penelitian ini menggunakan metode Waterfalldikarenakan metode ini memiliki langkah secara berurutan dan sistematis sehingga perancangan sistem lebih terstruktur. Dalam penelitian ini juga dilakukan pengujian terhadap fungsionalitas perangkat lunak yang dikembangkan menggunakan black box testing. Hasil dari penelitian ini adalah sebuah website yang menghasilkan proses kelola transaksi penjualan layanan perawatan. Data hasil pengujian black box testing terhadap 4 fungsi; entry, cari, hapus, ubah tersebut dinyatakan sistem berjalan dengan baik dan bisa digunakan untuk keperluan proses transaksi layanan perawatan Gemilang Salon.
The development of technology is increasingly advanced and leads to the transformation of change, especially in the business sector. Gemilang Salon is a salon engaged in services to serve various treatments according to customer needs. Gemilang Salon has only been operating for about a year and still uses a manual method, namely keeping records in bookkeeping every day. Gemilang Salon has difficulty managing treatment service sales transactions. This causes the information in the data to be inaccurate due to loss of records resulting in unsynchronized income with bookkeeping. The purpose of this research is to automate manual business processes into a computerized system in a website-based information system. This research uses the Waterfall method because this method has sequential and systematic steps so that the system design is more structured. In this study also tested the functionality of the software developed using black box testing. The result of this research is a website that produces a process of managing treatment service sales transactions. Data from black box testing results on 4 functions: entry, search, delete, and change, it is stated that the system runs well and can be used for the Gemilang Salon treatment service transaction process.
Peran Ketersediaan Teknologi dan Kualitas Video Pembelajaran dalam Meningkatkan Self-Efficacy, Intensi, dan Motivasi Belajar Mahasiswa
Authors: Brillian Muhammad Teguh
Published: June 2024

Penelitian ini menginvestigasi hubungan antara ketersediaan teknologi, kualitas video pembelajaran, self-efficacy, intensi belajar, dan motivasi belajar mahasiswa di lingkungan perguruan tinggi. Metode kuantitatif dengan analisis SEM-PLS digunakan untuk menganalisis data dari 139 mahasiswa di Kota Padang, Sumatera Barat, Indonesia. Hasil menunjukkan bahwa ketersediaan teknologi, mempengaruhi kualitas video pembelajaran dan motivasi belajar. Kualitas video pembelajaran juga berdampak signifikan pada self-efficacy, intensi belajar, dan motivasi belajar mahasiswa. Implikasi temuan ini menunjukkan pentingnya lembaga pendidikan memperhatikan infrastruktur teknologi dan pengembangan konten video pembelajaran yang berkualitas guna meningkatkan pengalaman belajar mahasiswa. Hasil ini memberikan kontribusi penting bagi pengembangan strategi pembelajaran yang lebih efektif di era digital saat ini. Penelitian mendukung upaya untuk meningkatkan kualitas pendidikan tinggi dengan memperhatikan faktor-faktor yang memengaruhi motivasi dan kesiapan belajar mahasiswa.
This study investigates the relationship between technology availability, video learning quality, self-efficacy, learning intention, and student learning motivation in a university setting. Quantitative methods with SEM-PLS analysis were employed to analyze data from 139 students in Padang, West Sumatra, Indonesia. The results indicate that technology availability influences the quality of video learning and learning motivation. Additionally, the quality of video learning significantly impacts student self-efficacy, learning intention, and learning motivation. The implications of these findings underscore the importance of educational institutions paying attention to technological infrastructure and developing quality video learning content to enhance the student learning experience. These results make a significant contribution to the development of more effective learning strategies in the current digital era. The study supports efforts to enhance the quality of higher education by considering factors that influence student motivation and readiness to learn.
Pembangunan Sistem Informasi Peminjaman Alat Inventaris Desa
Authors: Nesi Anselmus Seran , Batarius Patrisius , Manehat Donatus J.
Published: June 2024

Desa Biudukfoho yang berada di Kabupaten Malaka merupakan salah satu desa yang memiliki banyak aset dan inventaris untuk dipinjamkan kepada masyarakat. Proses peminjaman dan penyewaan kepada masyarakat memiliki tujuan untuk mendapatkan dana tambahan bagi desa. Namun, selama ini proses peminjaman alat inventaris yang disediakan oleh desa untuk disewakan ke masyarakat belum berjalan secara efektif dan efisien. Pada saat alat inventaris akan disewa, alat inventaris tidak berada di desa dan aparat desa tidak bisa memberikan kepastian mengenai batas waktu pengembalian alat tersebut.  Hal ini dikarenakan belum adanya sebuah sistem yang dapat memantau secara cepat keberadaan dari alat-alat inventaris yang sedang disewakan. Untuk itu, diperlukan sebuah sistem secara komputerisasi sebagai pengganti dari proses yang berjalan selama ini. Metodologi yang digunakan dalam membangun sistem ini menggunakan metode waterfall yang meliputi tahapan persiapan dan pengumpulan data, analisis kebutuhan, analisis proses, perancangan sistem, implementasi dan pengujian. Sistem yang dibangun menggunakan bahasa pemrograman PHP dan MySQL sebagai basis datanya. Hasil dari penelitian ini adalah sebuah aplikasi sistem informasi peminjaman alat inventaris desa yang dapat mengatasi berbagai kesulitan yang dialami oleh Desa Biudukfoho, terutama dalam mengelola aset inventaris desa yang dipinjamkan ke masyarakat.
Biudukfoho Village in Malaka Regency is one of the villages that has many assets and inventory to lend to the community. The process of borrowing and renting to the community aims to obtain additional funds for the village. However, the process of borrowing inventory equipment provided by the village to rent to the community has not been running effectively and efficiently. When the inventory equipment that will be rented is not in the village, the village officials cannot give certainty of the time for returning the equipment. This is because the village does not have a system that can quickly monitor the whereabouts of inventory equipment that is being rented. For this reason, a computerized system is needed as a replacement for the process that has been running so far. The methodology used in building this system was the waterfall method which includes the stages of preparation and data collection, needs analysis, process analysis, system design, implementation, and testing. The system used the PHP programming language and MySQL as the database. The result of this research was an information system application for borrowing village inventory tools that can overcome various difficulties experienced by Biudukfoho Village, especially in managing village inventory assets that are lent to the community.
Smart Farming Adoption – A Scoping Review
Authors: Zhahir Amirul Asyraf , Shuhud Mohd Ilias M , Mohd Siti Munirah , Kamarudin Shafinah , Ahmad Azuan , Salleh Rossly , Norwawi Norita MD
Published: June 2024

Smart farming, one of the most rapidly growing technologies in the agriculture sector in the midst of the Industrial Revolution 4.0 era, signifies the integration of technologies into the industry. Numerous challenges of the agriculture sector were able to be decoded and formulated efficiently. Over the past few years, research on smart farming has grown expeditiously, observing in every different cornerstone of the sector. The main objective of this study is to investigate into the smart farming technology adoption exogenous factors through the lens of a scoping review. Selections of article from several different sources, published between 2010 and 2024 with specific keywords were thoroughly observed. Valuable information was identified and discussed, particularly the positively and negatively factors influencing the adoption of smart farming. The study serves as a bedrock for an upcoming study in the smart farming technology adoption.
Liquefaction Analysis of Four High Tailings Dams
Authors: Ortigão Alberto , Sieira Ana Cristina , Santos Flávia , Moraes Juliana , Soares Cristhiano
Published: June 2024

This is the story of a long, 3-year study on the investigation of the liquefaction analyses of four tailings dams. All of them were built by the upstream construction method and initially considered unsafe. Before this study, liquid limit stability analyses on these four structures indicated a low factor of safety. This work aimed to carry out stress-strain analyses with the NorSand constitutive model. The work started in 2020 when most stress-strain commercial programs did not yet work with NorSand, but in due course, programs improved and enabled the use of this model. Most of the dams had limited in situ and laboratory tests. In situ tests in most dams were short and did not reach the bottom of the tailings. Existing laboratory tests, on the other hand, aimed only to yield strength parameters, not NorSand ones. The authors then used a mix of strength parameters and literature-recommended typical values. The final analysis results indicated that two of the dams were very unsafe, and two others were very safe. The authors compared the results of the liquefaction potential and safety factors obtained by reducing strength parameters. Despite the theoretical limitations of the parameter reduction technique, a good, inverted correlation was found. The authors concluded that limit equilibrium analyses of tailings may be misleading and should be avoided.
Výrostová, E., Hrabovská, Z., Douša, M. Financovanie rozvoja regiónov a miest z fondov Európskej únie na Slovensku.
Authors: Konečný Stanislav
Published: June 2024

Výrostová, E., Hrabovská, Z., Douša, M. Financovanie rozvoja regiónov a miest z fondov Európskej únie na Slovensku. [European Union funding for regional and urban development in Slovakia]. 1. vydanie. Praha: Leges, 2023, Edice Teoretik, 178 s. ISBN 978-80-7502-721-4.
Study of effect of argument driven inquiry model and mathematical literacy on student mathematical communication
Authors: Ambarwati Riyama , Supriadi Nanang , Noviana Dewi , Putra Rizki Wahyu Yunian , Mujib Mujib , Andriani Siska
Published: June 2024

Background: Mathematical communication skills are an important aspect of mathematics learning that allows students to explore and consolidate their mathematical thinking clearly and precisely.Aim: This study aims to analyze the effect of Argument Driven Inquiry learning model and Mathematical Literacy on students' mathematical communication skills.Method: This research is a quantitative study that examines the mathematical communication skills of students by applying the argument driven inquiry learning model and mathematical literacy. The subjects of this study consisted of 30 students learning using the Argument Driven Inquiry model and 30 students using the conventional model. Data were collected through tests and analyzed using One-way Ancova.Results: The findings showed a significant effect of using Argument Driven Inquiry and Mathematical Literacy learning model on students' mathematical communication skills compared to using Conventional learning model. The experimental class obtained higher scores than the control class. Learners were able to organize mathematical arguments more systematically, formulate relevant questions, and convey mathematical thinking more clearly.Conclusion: Argument Driven Inquiry model and mathematical literacy together can affect the mathematical communication skills of students. These results have important implications in the development of mathematics curriculum that pays attention to communication aspects in mathematics learning.
The Impact of Digitized Content Based on Achievement Standards on Interest in Practical Science Subject Areas
Authors:   The Korean Association of Practical Arts Education, Ryu Cheong-san
Published: June 2024

This study explored ways to evoke interest and enhance enthusiasm among university students in education learning the practical arts curriculum using text-based achievement standards, aiming to foster intrinsic learning motivation. The study employed an experimental approach with students from the College of Education, where content visually representing achievement standards for each practical arts subject area was developed and utilized for the learning process, with learner responses quantitatively analyzed. Data were collected through surveys, and changes in interest in achievement standards before and after applying the visual content were tested using bootstrapping and paired sample T-tests with a 95% confidence level. The analysis confirmed a significant increase in students' interest in practical arts content areas after exposure to the visualized content. Specifically, changes in interest before and after learning with digitized content of achievement standards showed significant differences in human development and proactive life, living environments and sustainable choices, sustainable technology and convergence, and digital society and artificial intelligence. Notably, interest in digital society and artificial intelligence increased the most, with high significance at the 1% level. In contrast, no significant difference was found in technological problem-solving or innovation. These results highlight the importance of using digital resources in teacher training programs to effectively teach achievement standards in practical arts education to university students. This, in turn, is expected to establish a robust foundation for future teachers to implement learner-centered education in actual teaching settings.
Impact of Novel Engineering-Based Ecological Environmental Education Program on Elementary School Students' Environmental Competency and Attitude toward Using Artificial Intelligence
Authors:   The Korean Association of Practical Arts Education, Kim Bo-ran , Kim Hyun-joo
Published: June 2024

The purpose of this study is to develop a Novel Engineering-based practical and subject-centered ecological environment convergence education program (20 sessions) and apply it to 25 6th grade students to conduct a survey on environmental competency and awareness of artificial intelligence education before and after class to determine what kind of results. The purpose is to see if there is a change. The results of the study showed that the Novel Engineering-based ecological environment education program had a positive impact on the development of elementary school students' environmental capabilities and their awareness of artificial intelligence education. The results of the environmental competency survey showed significant differences in all areas of reflection and insight, use of environmental information, creative problem solving, environmental sensitivity, communication and conflict resolution, and environmental community competency, and positive attitudes toward thoughts and career paths toward artificial intelligence technology.
It is significant that environmental education can be applied in the regular curriculum and that a convergence program containing not only engineering and digital elements, but also humanities and arts elements has been developed to foster the basic language and digital skills emphasized in the 2022 revised curriculum.
Based on this study, there is a need to construct a variety of Novel Engineering-based ecological environment education programs for all elementary school students in the future. In addition, follow-up research on a diverse Novel Engineering-based ecological environment education program that combines digital and artificial intelligence elements will be necessary through analysis of various subjects in the ecological environment.