bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementation and Prediction of Diabetic Retinopathy Types Based on Deep Convolutional Neural Networks
Authors: R. Anciln Steffy , D. Evelin
Published: September 2024

Diabetic retinopathy (DR) is the primary cause of preventable blindness in those within the working age group in developed nations. The macula, optic discs, and blood vessels that make up a healthy retina are irregularities that indicate a true eye condition. Therefore, retinopathy detection is crucial. Therefore, this study suggests using deep convolutional neural networks to build and predict different kinds of diabetic retinopathy. A pre-processing approach first initiates the input picture. The spatial processing method known as the Gaussian filter, which reduces picture noise and increases the clarity of fuzzy pictures, handles this procedure. The picture is sent to the regions for segmentation in the next stage. The size and form of the illness may be precisely determined using fuzzy C-means (FCM) segmentation. Additionally, it attempts to maintain as much difference between the clusters as well as much similarity between the intra-cluster data points. The next phase in the process is to use deep convolutional neural networks (DCNN). In order to extract features from the input picture, the convolutional layer applies filters. To expedite computation, the pooling layer samples the picture; the fully connected layer then generates the final prediction. The early detection of diabetic retinopathy has been made easier by the use of DCNN algorithms. Within the domain of medical image processing, the DCNN algorithm represents a methodically ordered approach and it shows 94.7%. This work offers a high degree of sensitivity and precision in identifying whether a picture has diabetic retinopathy or not. Creating the output image is the final stage. Python Google Colab software is used in the implementation of this paper.
High Gain Zeta Converter with ANFIS Based MPPT for Standalone Application with Galvanic Isolation
Authors: B. Varsha , A. S. Monikandan
Published: September 2024

The installation of Photovoltaic (PV) systems is steadily increasing globally, as they stand as the primary means of accessing the electrical grid. A considerable amount of effort is dedicated to ensuring the optimal functioning of these PV systems. As a result, the goal of this proposed work is to achieve stable DC-link voltage of the ZETA Converter using the ANFIS MPPT strategy. In this proposed approach, a ZETA converter is used, which results in improved voltage gain and reduced ripple content of the output voltage and current. An isolation transformer is integrated into the system to provide galvanic isolation. This transformer enhances safety by isolating the output from the high-frequency converter from the PV system and other components. Galvanic isolation prevents the transmission of electrical faults and protects connected loads. The output from the isolation transformer is supplied to a DC load through a rectifier. The diode bridge rectifier converts the alternating current (AC) output from the transformer into direct current (DC), making it suitable for powering DC loads. To stabilise the converter’s output voltage and mitigate the intermittent nature of PV, an intelligent MPPT is used, which also aids in maintaining DC-link voltage without distortions and ripples from the converter. The entire paper is validated through a MATLAB simulation 2021a.
Türk Yüksek Öğretiminde Önceki Öğrenmenin Tanınması ve Uygulamaları Üzerine Bir Değerlendirme
Authors: Demir Seda , Güleç İsmail
Published: September 2024

Bu çalışmanın amaçlarından biri Türk yüksek öğretimi açısından Önceki Öğrenmenin Tanınması uygulamalarının kavramsal nitelikleri ve ilgili uygulamaların temel özelliklerine dikkat çekmek amacıyla hazırlanan çalışmanın ele aldığı bilgilerin detaylandırılmasıdır. Bir diğer ve asıl amacı ise Türkiye’deki ilgili uygulamaların niteliklerini incelemek ve son olarak hangi açılardan iyileştirilebileceğinin altını çizmektir. Çalışmada önce Türk Yüksek Öğretimi açısından reform paketleri içinde ele alınması elzem olan Önceki Öğrenmenin Tanınması uygulamaları global bir kapsam içinde değerlendirilmiştir. Sonrasında dünyadaki mevcut uygulama esasları ele alındıktan sonra Türk Üniversitelerinin akreditasyon boyutunda bu uygulamalar açısından ne durumda olduğu değerlendirilmiştir.
Distance Learners’ Basic Digital Competence in Higher Education
Authors: Kuluşaklı Emine
Published: September 2024

Basic digital competence is essential for learners in higher education and especially in the field of distance education. The main purpose of this study is to understand the levels of digital competence of distance learners in Turkey according to the variables of age, gender and owing a computer. The participants were consisted of 243 distance learners studying at various disciplines of a state university. Data were collected through a survey via digital competence scale. The findings of the research indicated that basic digital competence of distance learners were high in communication and moderate in problem solving, university’s virtual tools and social communication and information and data literacy. However, distance learners are the least competent in digital content development. In addition, statistical analysis indicated that basic digital competence of distance learners did not differ in terms of gender. On contrary, significant differences existed in the information and data literacy of the students with regard to having a computer and age. The results of the study displayed that it is important to include the improvement of digital competence into the distance education to provide distance learners an opportunity to reach high basic digital competence and to facilitate learning.
What’s God got to do with it? The relationship between religion, sadism, and masochism
Authors: Davis Brooke , Evanoff Crystal , Babchishin Kelly M.
Published: September 2024

Although “BDSM” (i.e., bondage, discipline, dominance, submission, sadism, and masochism) has become increasingly present in popular media in recent years, much remains unknown about the etiology and correlates of BDSM. Research has demonstrated a relationship between religion and sexual behaviours/attitudes; therefore, religion could also be associated with sadism and masochism. To address gaps in existing knowledge, we conducted an online survey of 515 participants who answered a questionnaire on sexual life and behaviour, including questions on arousal in response to sadism and masochism scenarios, associated negative impacts, and religion. We found a higher prevalence of arousal in response to sadism scenarios amongst non-religious participants (64.6%; n = 228/353) than religious participants (54.7%; n = 88/161) with a small, but potentially meaningful effect size (Φ = -.095, p = .032). Increased impact of religious beliefs on sex life was associated with slightly lower sadism arousal, r(499) = -.080, p = .075. This association was strong enough to be considered a potentially meaningful factor but was not statistically significant. There was also a small negative correlation between masochism arousal and impact of religious beliefs on sex life and behaviour, r(500) = -.129, p = .004. Based on these findings, we conclude that there could be a limited but meaningful relationship between religion and sadism/masochism arousal. Further research should explore specific religious affiliations and beliefs as potentially associated with sadism and masochism arousal.
RADIOCOMUNICAÇÃO DIGITAL
Authors: Mesquita Filho Francisco Valderi , Evangelista de Lima Igo Mayko
Published: September 2024

A radiocomunicação crítica é uma importante ferramenta para o desempenho da atividade policial. Em razão da natureza das mensagens veiculadas por este meio, faz-se necessário que o sistema de comunicação satisfaça critérios mínimos: ele deve ser seguro, conter regras disciplinadoras do fluxo da informação, deve ser resiliente a falhas, mesmo nos locais mais inóspitos onde não há outros meios de comunicação. Nas condições ideais, a radiocomunicação crítica possibilitaria a mobilização e a coordenação das forças de segurança para conter e controlar eventos de crise onde se faz necessário, a cooperação entre as várias agências de segurança pública.
No entanto, a materialização de um sistema radiocomunicação crítica envolve elevados custos de implantação, manutenção e expansão das redes objetivando abranger grandes escalas territoriais. Esse custo é suportado pelo contribuinte e cabe ao Poder Público direcionar os investimentos de forma eficiente. A radiocomunicação remonta a era do telégrafo e sua tecnologia não parou de evoluir, possui legislação específica, regras de mercado específicas para telecomunicações e mesmo assim, o desenvolvimento acelerado dessa tecnologia ameaça, em futuro próximo, remodelar a forma como esse serviço é prestado.
CONTRABANDO E DESCAMINHO
Authors: Ramos de Lima Leandro Goldemberg
Published: September 2024

O presente estudo procura demonstrar uma mudança de comportamento logístico no contrabando e descaminho que ocorre no Brasil, indicando o deslocamento significativo do abastecimento do mercado clandestino brasileiro de mercadorias contrabandeadas e descaminhadas para a costa norte e nordeste do país. Para tanto, compilar-se-ão fatores que favorecem a ocorrência de ilícitos na referida região e dados mensurados por confiáveis instituições públicas e privadas, como número de apreensões num determinado período. Tal constatação pode converter-se em fatores adequados de planejamento na tomada de decisão dos governantes e gestores, como subsídio para distribuição do efetivo policial e fiscal e implementação de políticas públicas que contemplem os locais mais vulneráveis ao corrompimento pelo mercado ilícito.
NOVA POLÍCIA DA UNIÃO E A LEI 12.885/2013
Authors: Rosa Maia Leonardo
Published: September 2024

Trata a presente pesquisa de investigação sobre a indenização do adicional de fronteira (Lei 12.855/2013) na Administração Pública Federal, e sua abrangência, limites, atores, em especial ao novo policial federal da União, o Policial Penal Federal. O Congresso Nacional criou em 04/12/2019 em sessão solene, a Emenda Constitucional (EC) 104, que cria a Polícia Penal, órgão responsável pela segurança do sistema prisional federal, estadual e do Distrito Federal. Nesse sentido, daremos ênfase à pesquisa na esfera federal, onde se encontram em atividade, hoje, os Policiais Penais Federais, exercendo suas funções públicas em cinco estados brasileiros, dentre eles o estado de Rondônia, estado de fronteira na região norte do País. Diante do novo quadro, o governo federal reconheceu constitucionalmente a inserção de novos servidores policiais no rol do artigo 144 da carta magna. Assim, como nas demais polícias da União, como Polícia Federal e Polícia Rodoviária Federal percebe- se a dificuldade de manutenção do efetivo de Policiais Penais Federais nas Penitenciárias Federais em lotações chamadas de difícil provimento, como é o caso de Porto Velho (RO), região de baixo índice de desenvolvimento humano, comparado às demais lotações da Secretaria Nacional de Políticas Penais. Nesse viés, se faz necessária a introdução de políticas públicas que possam subsidiar financeiramente o servidor lotado nessas regiões, com o intuito de satisfazer necessidades básicas, a partir de melhores condições econômicas, e assim fixarem residência e satisfazerem seus interesses tanto profissionais, quanto pessoais, evitando o êxodo constante de servidores, Além de licenças médicas freqüentes, e baixo engajamento produtivo. Por isso a necessidade de investimento salarial adequado para regiões estratégicas para a segurança pública. Essa distorção já foi alvo de gestão administrativa nas demais polícias da União, com o incremento do adicional de fronteira, introduzido pela lei nº 12.885/2013. observando-se melhoria considerável no desenvolvimento das atividades e na prestação do serviço público ofertado. Dessa forma, o presente estudo irá se basear numa metodologia de pesquisa exploratório descritiva, de abordagem biográfica, documental, definindo os conceitos acerca da aplicação da norma, seus efeitos na realidade fática, sua forma de aplicação na esfera pública e a legislação infraconstitucional que impacta na atividade da Polícia Penal Federal e seus desdobramentos.
IN-SITU ԵՎ EX-SITU ՍԿԶԲՈՒՆՔՆԵՐԻ ՎՐԱ ՀԻՄՆՎԱԾ ԺԱՌԱՆԳՈՒԹՅԱՆ
ՊԱՀՊԱՆՄԱՆ ՄԻՋԱԶԳԱՅԻՆ ՓՈՐՁԸ ԲԱՑՕԹՅԱ ԹԱՆԳԱՐԱՆՆԵՐՈՒՄ / INTERNATIONAL EXPERIENCE OF HERITAGE CONSERVATION IN OPEN-AIR MUSEUMS BASED ON THE IN-SITU AND EX-SITU PRINCIPLES
Authors: Matentsyan Armine
Published: September 2024

The article presents the activity features of different open-air museums, which have been formed within the 130 years of existence of these types of museums to ensure the protection, reproduction, and modeling of unique historical and cultural landscapes. The historical and cultural landscape is a result of the joint creation of man and nature, which is characterized by a clear territorial organization in which the natural and man-made elements form an inseparable whole, forming a unique natural and cultural complex. Such complexes, as a rule, show the evolution of certain ethnic groups and their settlements, which took place under the influence of various external and internal, favorable and unfavorable, climatic and social factors.

Today, historical and cultural landscapes are the most important heritage objects of different regions of the world, whose preservation and modernization are carried out through open-air museology. The open-air museum itself presents a special format of a museum institution, which gives visitors the opportunity to immerse themselves in the historical atmosphere of past eras while appreciating the result of the harmonious and creative coexistence of nature and man. The study of this type of museum is especially important in the context of cultural component management, for which the international legal principles of in-situ and ex-situ preservation of cultural heritage are applied. These principles have received normative support through the ratification of a number of intergovernmental acts and convention
The Emotional Journey: An Exploration of Women's Pre-Birth Anxieties
Authors: Suryani Lilis , Kamil Hajjul , Hasanuddin Hasanuddin , Yahya Mustanir , Sulastri Sulastri
Published: September 2024

Pregnancy is an important period in a woman's life, but it is often accompanied by worries and fears that cause birth anxiety. Anxiety generally varies in intensity from mild to severe. Anxiety has a negative impact on the health of the mother and fetus, and it causes many women to refuse to give birth naturally. This study aims to explore the psychological and emotional dimensions of pregnant mothers' levels of anxiety toward childbirth, identifying the various concerns and factors that cause anxiety. The research design was non-experimental exploratory descriptive, conducted from May to June 2022. Respondents consist of multigravida women with a gestational age of 36–40 weeks (third trimester). The sample was chosen using purposive sampling. The data collection process uses a questionnaire in the form of semi-structured questions. The level of anxiety for multigravida women is moderate anxiety (36.0%), severe anxiety (32.0%), mild anxiety (24.0%), and 4.0% each with severe anxiety and not anxiety. The aspects found are generally feared to have a cesarean delivery (28.0%) and worry about the baby's condition (20.0%). Factors that cause anxiety are generally the condition of the baby (24.0%), illness suffered by the mother (12.0%), and negative experiences about childbirth (12.0%). Multigravida women generally experience various anxieties during labor, which are caused by various factors that influence them. There are aspects of anxiety that are different from previous studies. Screening for anxiety symptoms and education during the antenatal period are necessary.
Predictive Maintenance with Machine Learning: A Comparative Analysis of Wind Turbines and PV Power Plants
Authors: Uhanto Uhanto , Yandri Erkata , Hilmi Erik , Saiful Rifki , Hamja Nasrullah
Published: September 2024

The transition to renewable energy requires innovations in new renewable energy sources, such as wind turbines and photovoltaic (PV) systems. Challenges arise in ensuring efficient and reliable performance in their operation and maintenance. Predictive maintenance using machine learning (PdM-ML) is relevant for addressing these challenges by enhancing failure predictions and reducing downtime. This study examines the effectiveness of PdM-ML in wind turbine and PV systems by analyzing operational data, performing data preprocessing, and developing machine learning models for each system. The results indicate that the model for wind turbines can predict failures in critical components such as gearboxes and blades with high accuracy. In contrast, the model for PV systems is effective in predicting efficiency declines in inverters and solar panels. Regarding operational complexity, each model has advantages and disadvantages of its own, but when compared to conventional maintenance techniques, both provide lower costs with greater operational efficiency. In conclusion, machine learning-based predictive maintenance is a promising solution for enhancing the reliability and efficiency of renewable energy systems.
Potential for Electrical Energy Savings in AC Systems by Utilizing Exhaust Heat from Outdoor Unit
Authors: Hamja Nasrullah , Yandri Erkata , Hilmi Erik , Uhanto Uhanto , Saiful Rifki
Published: September 2024

This study explores the potential of utilizing waste heat from air conditioning systems, one of the largest consumers of electrical energy. Currently, most of the waste heat generated by outdoor units is typically released into the environment without being utilized, leading to missed energy-saving opportunities. This study analyzes the potential for improving electrical energy efficiency in air conditioning (AC) systems by harnessing this waste heat. Two primary approaches are evaluated: the first is the use of waste heat for domestic water heating, and the second is the conversion of heat into electrical energy using thermoelectric generators (TEG). The results of this research indicate that both methods have the potential to improve overall energy efficiency significantly. However, challenges related to conversion efficiency and integration of these technologies with AC systems require further, more specific studies. These findings are expected to contribute to more efficient and environmentally friendly cooling systems by optimizing technology and overcoming barriers to wider implementation.
Application of Ensemble Machine Learning Methods for QSAR Classification of Leukotriene A4 Hydrolase Inhibitors in Drug Discovery
Authors: Noviandy Teuku Rizky , Idroes Ghifari Maulana , Mohd Fauzi Fazlin , Idroes Rinaldi
Published: September 2024

Inflammatory diseases such as asthma, rheumatoid arthritis, and cardiovascular conditions are driven by overproduction of leukotriene B4 (LTB4), a potent inflammatory mediator. Leukotriene A4 hydrolase (LTA4H) plays a critical role in converting leukotriene A4 into LTB4, making it a prime target for drug discovery. Despite ongoing efforts, developing effective LTA4H inhibitors has been challenging due to the complex binding properties of the enzyme and the structural diversity of potential inhibitors. Traditional drug discovery methods, like high-throughput screening (HTS), are often time-consuming and inefficient, prompting the need for more advanced approaches. Quantitative Structure-Activity Relationship (QSAR) modeling, enhanced by ensemble machine learning techniques, provides a promising solution by enabling accurate prediction of compound bioactivity based on molecular descriptors. In this study, six ensemble machine learning methods—AdaBoost, Extra Trees, Gradient Boosting, LightGBM, Random Forest, and XGBoost—were employed to classify LTA4H inhibitors. The dataset, comprising 636 compounds labeled as active or inactive based on pIC50 values, was processed to extract 450 molecular descriptors after feature engineering. The results show that the LightGBM model achieved the highest classification accuracy (83.59%) and Area Under the Curve (AUC) value (0.901), outperforming other models. XGBoost and Random Forest also demonstrated strong performance, with AUC values of 0.890 and 0.895, respectively. The high sensitivity (95.24%) of the XGBoost model highlights its ability to accurately identify active compounds, though it exhibited slightly lower specificity (61.36%), indicating a higher false-positive rate. These findings suggest that ensemble machine learning models, particularly LightGBM, are highly effective in predicting bioactivity, offering valuable tools for early-stage drug discovery. The results indicate that ensemble methods significantly enhance QSAR model accuracy, making them viable for identifying promising LTA4H inhibitors, potentially accelerating the development of anti-inflammatory therapies.
Microfluidics and personalized medicine towards diagnostic precision and treatment efficacy
Authors: Tripathi Surina , Verma Saloni , Dhingra Karan
Published: September 2024

Microfluidics is a science that flows at the microscopic scale. However, it is also mature technology that has already been applied to everyday technology such as e-readers, inkjet printers, and lab-on-a-chip devices that can shrink a whole laboratory down to a few square inches. Microfluidics can be applied to personalized medicine in addition to everyday technology. Treatment for individuals is adjusted to their specific characteristics through personalized medicine. Based on this biomarkers and drug screening are used for maximizing efficiency and reducing adverse effects. The need for well-regulated, sustainable, and detailed methods is constantly needed to reduce reagent use and improve overall healthcare outcomes. Here we show the development of microfluidic technologies to advance personalized medicine by analyzing microRNAs, and other biomarkers through high-throughput screening, integrating advanced data analytics to match a particular treatment to a patient's unique genetic profile and response.
Nacionalna priporočila za obravnavo rinitisa
Authors: Zidarn Mihaela , Soklič Košak Tanja , Kopač Peter , Urbančič Jure , Jošt Maja , Košnik Mitja , Kramer Vrščaj Karmen , Koren Jeverica Anja , Kreft Samo , Kristanc Luka , Rozman Sinjur Irma , Pelivanova Elena , Travnšek Jan , Šoster Križnik Eva , Edelbaher Natalija , Triller Nadja , Zavernik Črt , Jenko Klemen
Published: September 2024

The article presents the recommendations for managing patients with rhinitis in Slovenia. It covers the treatment of allergic and non-allergic rhinitis, as well as rhinosinusitis with or without nasal polyps. It also addresses allergy management, the use of allergen immunotherapy, and its effect on symptom reduction. The national recommendations are based on international guidelines and offer a comprehensive overview of pharmacological and non-pharmacological treatment options for these conditions. The article emphasizes the importance of clinical decision-making, patient and healthcare provider collaboration at all levels, and regular monitoring. The recommendations aim to support professionals at all levels in providing evidence-based care for patients with rhinitis and related conditions.
Penerapan Gamifikasi dalam Pembelajaran Konjungsi Teks Deskripsi Kelas 9I SMPN 13 Surabaya
Authors: Hanikmah Rahmadani  , Sueb Hadi  , Inna Prabandari
Published: September 2024

This research examines the use of gamification in learning descriptive text conjunctions for class 9I of SMP Negeri 13 Surabaya. How the use of gamification in learning can improve the results and motivation of learning Indonesian for class 9I students. The aim of this research is (1) to increase the learning activities of class 9I students at SMP Negeri 13 Surabaya through the application of gamification in learning (2) to improve the learning outcomes of descriptive text conjunctions for class 9I students at SMP Negeri 13 Surabaya. This research is Classroom Action Research (PTK) which includes planning, implementation, observation and reflection. Data collection methods use questionnaires and observation. The instrument used is quantitative descriptive data analysis. The results of this research show an increase in students' motivation and learning participation, as well as a better understanding of conjunctions in Indonesian descriptive texts.
Efektivitas Model Pembelajaran Think Pair Share dalam Meningkatkan Pemahaman Siswa Terhadap Materi Ide Pokok dan Ide Pendukung Teks Deskripsi di Kelas IX-I SMP Negeri 13 Surabaya
Authors: Aurora Putri Nidya  , Sueb Hadi
Published: September 2024

Through classroom action research conducted in two cycles, this study aims to improve the understanding of grade IX-I students of SMP Negeri 13 Surabaya on the material of main ideas and supporting ideas of descriptive texts by implementing the TPS cooperative learning model. The results of the study showed a significant increase in student understanding after the implementation of the Think Pair Share learning model. In the pre-cycle, the average student test score was 65. After cycle I, the average score increased to 78, indicating an increase of 20%. In cycle II, the average score reached 85, or an increase of 9% from cycle I. This increase is indicated by the increasing number of students who can correctly identify the main idea and supporting ideas of descriptive texts. In addition, student activeness in discussing and giving opinions also increased significantly. This shows that the Think Pair Share cooperative learning model is effective in improving students' understanding of the main idea and supporting ideas of descriptive texts.
Penerapan Media Pembelajaran Pohon Cermat Literasi Untuk Meningkatkan Keterampilan Menganalisis Unsur Intrinsik Teks Cerpen Kelas XI-D2 SMA Negeri 9 Surabaya
Authors: Nindita Novi Permatasari
Published: September 2024

Based on observations in classes XI-D2 of SMA Negeri 9 Surabaya, researchers found that there was a problem in learning, namely the lack of teacher skills in creating an effective learning atmosphere. This condition is the cause of students not being very active in learning, so that the achievement of their learning outcomes in the competence of analyzing the intrinsic elements of short story builders is not good. The focus of this study is to evaluate the effectiveness of the application of the "Literacy Tree" learning media as an effort to improve the skills of analyzing the intrinsic elements of short story builders. The research method applied is classroom action research. The technique used in this study is qualitative descriptive data analysis. This research was carried out in three stages, including, the pre-cycle stage, cycle one, and cycle two. The results of the study show that the activeness and learning outcomes of students have increased which occurs in the stages of cycle one and cycle two.
Implementasi Model Pembelajaran Make a Match pada Siswa Kelas XI-B1 SMAN 9 Surabaya untuk Meningkatkan Hasil Belajar Teks Cerpen
Authors: Reza Dwi Nurlitasari
Published: September 2024

This study uses the Make a Match learning methodology in class XI-B1 SMAN 9 Surabaya to increase student learning outcomes on short story text content. 36 students participated in two cycles of the study. Following the implementation of the Make a Match learning paradigm, the results demonstrated a significant increase in student participation and learning outcomes. Despite some students still falling short of the KKM, the number of students in cycle 1 who received good and very good categories grew. Every student outperformed the KKM in cycle 2, with 41.7% placing them in the outstanding group and 58.3% in the good category. This approach worked well to increase overall student participation and learning results.
Meningkatkan Hasil Belajar Teks Laporan Hasil Observasi dan Keterampilan Sosial Emosional dengan Diferensiasi Proses Siswa Kelas X SMA Negeri 21 Surabaya
Authors: Uswatun Hasanah
Published: September 2024

This Classroom Action Research (PTK) aims to describe the improvement of learning outcomes and social emotional skills through differentiated learning process applied to the material of observation report text at SMA Negeri 21 Surabaya. This research uses a cycle design consisting of planning, observation, implementation and reflection. Data was collected through student worksheets, observation sheets, and questionnaires. The results showed an increase in learning outcomes by 17% in the first cycle, and 27% percent in the second cycle stage. Student learning outcomes are shown through the percentage of students who reach the minimum completeness criteria (KKM) which was initially 60% in the pre-cycle then increased to 77% in the second cycle, and increased to 100% in the second cycle. The results of students' socio-emotional skills are shown through observation sheets and questionnaires. This observation stage is carried out in two stages and the results are in the form of a comparison of social emotional skills before the differentiated learning approach and afterwards.
Analisis Kualitas Bahasa pada Teks Berita di Website Koran Tempo Edisi Februari 2024 sebagai Kelayakan Bahan Ajar Membaca Kritis bagi Mahasiswa
Authors: Efriza Kharidatul Bahiyah  , Eva Annisa Riska  , Ricky Febianto  , Fahmi Nur Hidayana  , Himah Az Zahra  , Asep Purwo Yudi Utomo  , Amilia Buana Dewi Islamy
Published: September 2024

Currently, there are many platforms used by writers to publish news, one of which is through mass media. In publishing news, a writer must pay attention to good and correct language quality in order to meet the requirements of linguistic quality. Thus, there needs to be more understanding from a writer in order to write spelling correctly and correctly according to writing guidelines. The purpose of this research is to check the correctness of news text writing has fulfilled the rules of good and correct language and in accordance with the user situation in a mass media. If a mass media does not present news text writing using good and correct language rules, its competence needs to be doubted. The approach used in this research is a syntactic approach using a qualitative descriptive method. This method is used to investigate and explain things related to a reality that occurs in the surrounding environment. The results of the analysis and discussion of the research prove that in the news text on the February 2024 edition of Koran Tempo website there are still errors in word writing, errors in the use of punctuation marks, and errors in the use of letters. The quality of language in the news text is classified as good if it meets the requirements of no errors in writing words, punctuation, letters, and spelling. With this research, it is hoped that it can increase knowledge about language and can improve the ability to read news texts, analyze language quality, and provide guidance to writers to pay attention to linguistic rules or use standard language in writing so that it is easily understood by the public.
Analisis Keefektifan Kalimat pada Teks Berita Artikel CNN Indonesia Mengenai Pemilu Edisi Februari 2024 sebagai Kelayakan Bahan Ajar Membaca Kritis Siswa Kelas IX SMP
Authors: Adhela Fathma Setiyani  , Adhitya Indra Pratama Putra  , Choirunnisa Aprilia  , Nayla Putri Dewi Lestari  , Sekar Cahya Ningrum  , Asep Purwo Yudi Utomo  , Ruly Indra Darmawan
Published: September 2024

A news text is a text that conveys news or information to the public about a factual and actual event. In the writing of news text should pay attention to the effectiveness of sentences so that the information conveyed can be accepted by readers and listeners. So, this research focuses more on analyzing the effectiveness of sentences contained in news text excerpts. The purpose of this study is to describe the effectiveness of sentences in news texts for critical reading of grade IX junior high school students. This type of research is qualitative research with descriptive method while the research data collection uses literature study techniques, namely listening and noting. The results of this study prove that sentence analysis shows the existence of effective sentences and ineffective sentences. Sentences are classified as effective if they meet several requirements, namely structural equivalence, word economy, accuracy of reasoning and logicality of language. Meanwhile, ineffective sentences are caused by the structure of the sentence not being unified, not parallel, and very wasteful or wordy. The practical benefit obtained is the ease of determining the effectiveness of sentences in news texts. The data taken in this research is in the form of effective sentences contained in CNN news articles about the February edition of the election for critical reading of grade IX junior high school students.
Pengembangan Media Flashcard untuk Meningkatkan Keterampilan Menulis Puisi Siswa Kelas VIII MTS Islamiyah Medan
Authors: Purnama Sari Siregar  , Tri Indah Kusumawati  , Budiman Budiman
Published: September 2024

This development research aims to find out: (1) the process of developing flashcard media to improve students' poetry writing skills. (2) the feasibility of flashcard media in improving students' poetry writing skills. (3) The effectiveness of flashcard media in improving students' poetry writing skills.This research was conducted using the research and development model (R&D) (Research and Development) This research uses the ADDIE development model with five stages, namely analysis, design, development, implementation, and evaluation. The subjects in this study are MTs Islamiyah Medan students totaling 28 students. The instrument of this study is to use a questionnaire to see the development, feasibility and effectiveness of the media developed. Data analysis techniques use product data analysis, preliminary data analysis, hypothesis testing. The results of the study show that flashcard media for writing poetry is very feasible to use with an average percentage of media experts 81.25% and material experts 97.5%. There was an increase in the average student score of 80.17%, so it was concluded that the average pretest and pottest scores experienced significant changes. Research conclusion: flashcard media for writing student poetry is suitable for use in poetry material learning activities by grade VIII students of MTS Islamiyah Medan. Further research suggestion: more thorough in planning the development of flashcard media, it should be developed according to the needs and characteristics of students.
Implementasi PowToon sebagai Media Pembelajaran Menyimpulkan Teks Diskusi SMP Kelas IX
Authors: Wahyu Rahmawati  , Asep Yudi Utomo  , Fasha Nabilah Aprilliani  , Malikhah Malikhah  , Iwan Hardi Saputro  , Chitra Sintarani  , Khlara Martina Sagana
Published: September 2024

The purpose of this study is to determine the effectiveness of the implementation of PowToon media in learning to conclude the discussion text of Junior High School Class IX. This study uses a qualitative descriptive research method to describe the use of PowToon media in the classroom based on observations and interviews conducted. The results obtained from this study are that PowToon media is effectively used for learning to conclude discussion texts because the media can attract students' interest so that students are not bored during learning. In addition, PowToon media can make it easier for teachers to convey various materials that cannot be conveyed only by the lecture method. Based on this, it can be said that PowToon's learning media can be used as a learning medium to conclude discussion texts as a support for the learning process.
Analisis Semantik Dalam Puisi “Hujan Bulan Juni” Karya Sapardi Djoko Damono
Authors: Endang Aristianti Gultom  , Wike Afsari Sinaga  , Inge Irawati  , Cindy Jelita Sari  , Yuliana Sari
Published: September 2024

Poetry is the recording and interpretation of important human experiences transformed into a memorable and interesting form. Poetry is one type of literary work that is of interest to various groups and age groups. Not only reading poetry, some people are also interested in creating poetry. Linguistically, poetry is mostly free, not bound by specific rules. The use of figurative language sometimes makes it difficult to understand the meaning of beautiful words in poetry. The poem June Rainfall by Sapardi Djoko Damono is the subject of this research. The problem raised by the author is only limited to the meaning of words in this poem. The purpose of this research is to describe the meaning contained in the poem June Rainfall through semantic analysis, which focuses on analyzing lexical meaning, grammatical meaning, referential meaning, and figurative meaning. Qualitative descriptive method is used as the research method. The techniques used in this research include documentation techniques, library techniques, and note-taking techniques. The results of the discussion show that this poem can be analyzed through semantic studies.
Analisis Faktor-Faktor Penyebab Rendahnya Motivasi Belajar Siswa pada Mata Pelajaran Bahasa Indonesia di Sekolah Dasar 106811 Bandar Setia
Authors: Anjeli Mutiara Sella Simanjuntak  , Khairunnisa Nasution  , Susmitha Marina Angel  , Mei Vina Estetika Br Sembiring  , Anastasia Desmeria Br Ginting  , Sofia Maharaja  , Riski  Margaretha Nadeak  , Rehan Shafira  , Sri Rahayu
Published: September 2024

Student learning motivation is an important component in the educational process that influences student success, especially in Indonesian language subjects in elementary schools. This research aims to analyze the factors that cause students' low learning motivation towards Indonesian language subjects. This research uses a qualitative approach using interviews and observations in class V of SD Negeri 106811 Bandar Setia. The research results show several factors that influence students' low learning motivation, such as personal interest, perception of subjects, teaching methods, learning environment and availability of learning resources. This research provides practical recommendations for educators and stakeholders to increase student learning motivation in Indonesian language subjects in elementary schools.
Comparison Of Slang In Millennials And Gen Z: A Semantic Analysis In The Context Of Linguistic Learning
Authors: Ana Juli  , Marina Suci  , Apriyani Esti
Published: September 2024

This research aims to compare the semantic phenomena of slang used by the Millennial generation and Gen Z on social media. The main focus of this research is to identify the types of slang that are often used by both generations, as well as understanding the meaning and reasons for the use of slang by the Millennial generation. The method used in this research is descriptive qualitative, with data obtained through journal reviews and analysis of documentation from social media such as Facebook, X (formerly known as Twitter), and Instagram. This research found that there are significant differences in the types of slang used by the Millennial and Gen Z generations, which are influenced by cultural and technological developments. In addition, this research reveals that the main reason the Millennial generation uses slang on social media is to strengthen social ties, show familiarity, and follow trends. The use of slang is also considered a way to create a unique and relevant digital identity in their social environment.
Penerapan Model Problem Based Learning Untuk Meningkatkan Hasil Belajar Pendidikan Pancasila Siswa Kelas IV B SDN Pakis 1 Surabaya
Authors: Nurul Fadilah Hidayati  , Bekti Wirawati  , Nunuk Suliyastuti
Published: September 2024

This study is an action research aimed at improving the learning outcomes of Pancasila Education on the topic of Appreciating Differences in Community Identity for Grade IV B students at SDN Pakis 01 Surabaya, which comprises 24 students. The research employs data collection methods such as observation, testing, and documentation. The instructional approach utilized is Problem-Based Learning (PBL). Findings indicate that the Problem-Based Learning model significantly improves students' Pancasila Education performance. Specifically, pre-cycle results showed a completion rate of 27%, which increased to 46% in Cycle I, and further rose to 81% in Cycle II. The implementation of Problem-Based Learning has successfully met the target goals, effectively boosting the Pancasila Education outcomes for Grade IV B students at SDN Pakis 1 Surabaya for the 2023/2024 academic year. The Problem-Based Learning model is characterized by fostering critical thinking skills among students, thereby facilitating the teaching process.
O CAPITALISMO E AS BICICLETAS
Authors:  David Pinheiro Lauar  , Velano de Souza André Luiz
Published: September 2024

O objetivo deste trabalho é expor um diferente espectro de visão sobre a relação do ciclismo com o capitalismo.  Aos leitores talvez, não tenham um olhar aprofundado em que no mundo contemporâneo, a bicicleta pareça apenas como mais um pequeno componente “perdido” em meio a motos, carros e demais transportes motorizados sem nenhuma contribuição que afronta, talvez, o sistema capitalista. Em uma análise mais aprofundada, pode-se destrinchar a influência real do ciclismo impactado na economia, não de valores de venda e revenda, mas sim, do que a adesão a essa modalidade de mobilidade urbana e recreativa promotora de saúde e bem-estar, pode seguramente, impactar negativamente aos interesses de um mundo corporativista e tendencioso a alimentar-se de patologias e seus agravos de saúde pública e principalmente, privada. A riqueza de modalidades no uso de uma bicicleta para como meio de transporte, deslocamentos rápidos, corridas, viagens, dentre outros atrelados a imensa quantidade de usuários que dela de apropriam podem impactar negativamente em um sistema capitalista. Este trabalho terá como base uma revisão de base de dados sobre a temática e consequentemente fazer uma crítica construtiva sobre esta dimensão. Concluiu-se que a adesão à prática de ciclismo em suas diversas formas, impacta negativamente em muitos setores de produtos e serviços que se alimentam de patologias crônicas decorrentes do sedentarismo e em outros setores como transportes automotivos e governamentais, que se alimentam de arrecadação de impostos
Public Service Transformation Can Change Fishermen's Community Thinking and Behavior on Regency Buton
Authors: Didi La
Published: September 2024

This transformation is carried out using three approaches: support, capacity and value or benefits of the Gitar Kombena application. These approaches are closely related to the change of mindset and behaviour in the public sector service. The transformation aims to improve the efficiency and efficiency of public services as well as provide ease of access, transparency, and accountability to the needs of the public. This research uses descriptive methods. Researchers collect data through interviews, observations, and documentation. Data collected is analyzed from the collection stage, data condensation, data verification and conclusion. Research results show that the transformation is supported by government and infrastructure, but limited to finance, and public knowledge in the use of digital services. As for the capacity of human resources bureaucracy contributes to improving the quality of public services, while the benefits of using the application Gitar Kombena has promoted services that are effective, efficient, accountable, transparent and successfully changing the mindset and behavior of the public as well as bureaucracies in the public service. Further research is needed on the impact of transformation on the economy of the fishing community.
Pengaruh Komunikasi Organisasi, Komitmen Organisasional, Lingkungan Kerja Dan Disiplin Kerja Terhadap Kinerja Anggota Kepolisian
Authors: Koimera Alexsande Ferri , Kambuaya Balthasar , Risamasu Ferdinand
Published: September 2024

This study aims to determine and analyze the influence of competency variables, work motivation and discipline that have an impact on the performance of assistants in the Department of Industry, Trade, Cooperatives and SMEs in Jayapura City. The sample unit in this study is a staff of 42 employees, taken using purposive sampling technique. Data analysis used descriptive statistics and Multiple Regression Analysis. The results showed that (1). Simultaneously, the variables of competence, work motivation, and discipline have a significant positive impact on the performance of assistants but are significant (2). Partially, the competence variable has a positive and significant effect, however, motivation has a positive and significant effect and the discipline variable has a positive and significant effect on the performance of the assistants (3). The variable of work motivation dominantly has a significant effect on the performance of the assistant staff.
Compensation of shrinkage deformations of fine-grained concretes for cast-in-situ vibration-loaded structures
Authors:  Лавров И.Ю. ,  Береговой В.А.
Published: September 2024

Исследован эффект снижения деформаций усадки цементных составов при вводе в их состав добавок — ​модификаторов поверхностного натяжения. Установлено, что в этом качестве целесообразно применять добавки на основе эфиров этиленгликоля. Их эффективность обеспечивается при снижении поверхностного натяжения растворов затворения на 40—45 %. Совместимость добавок с цементом, определенная методом полуадиабатической калориметрии, указывает на несущественное влияние бутилцеллозольва на кинетику тепловыделения гидратирующейся системы в сравнении с пластификатором.

The effect of shrinkage deformations of cement compositions being reduced when additives, surface tension modifiers, are introduced in the composition, has been studied. It was established that it is advisable to use additives based on ethylene glycol ethers in this capacity. Their effectiveness is ensured by reducing the surface tension of tempering solutions by 40-45%. The compatibility of additives with cement, determined by semi-adiabatic calorimetry, indicates an insignificant effect of butyl cellosolve on the kinetics of heat release by the hydrating system in comparison with the plasticizer.