bluuebunny/crossref_metadata_2025 huggingface dataset:
Political Network Patterns Of Village Head Dynasty In Red Mata Village, Banyuasin I District Banyuasin District
Authors: Marzuki M. Ervan , Munandar Aris
Published: October 2024

The dynastic political network pattern is a series of human politics for acquire power but it is on his side by inheritance power that has been held over other people who have ties of power with previous power holders. Based on this, the study This research aims to determine the pattern of political network formation dynasty and the impact it had on the political behavior of the village community Red Eyes, Banyuasin I District, Banyuasin Regency. This research uses qualitative methods to describe and explains the pattern of formation of dynastic political networks and their impacts impact on political behavior. Data collection techniques used includes observations, interviews and documentaries. The research results show that the political network pattern of the head dynasty villages in Merah Mata Village, Banyuasin I District, Banyuasin Regency include 1) Capital Economy: The Red Mata Village Chief has stable economic capital, however has a familial relationship with the previous village head so belonging to dynastic politics, 2) Cultural Capital: Character and competence The Red Eye Village Head is much more important because it has an impact on the process decision making and benchmarks for action, 3) Social Capital: Head Merah Mata Village has good social capital, which can be seen in its role in creating and participating in community activities, and 4) Capital Symbolic: The Head of Merah Mata Village has classified symbolic capital lacking, but he was able to improve the welfare of his people. As for the impact arising from the political dynasty in Merah Mata Village, namely restrictions opportunities for other people who are more worthy to occupy positions as Head of Red Eye Village.
PENINGKATAN KINERJA APARATUR PEMERINTAH DESA BERBASIS APLIKASI PAHARI DI KABUPATEN PULANG PISAU
Authors: Pasaribu Muhammad Irvan Yazid Azhar
Published: October 2024

This research aims to see the picture of public services before and after the existence of application-based services. The presence of the PAHARI Application is intended so that the performance of Village Government Apparatus can provide integrated, integrated, standardized and comprehensive administrative services in realizing excellent service. The method in this research is descriptive qualitative with research subjects namely the PMDes Service as the initiator of the application, the Government Section of the Regional Secretariat as the developer of the application and the Village Government Apparatus as the research object as the provider of services to the community in Pulang Pisau Regency, Central Kalimantan. Data collection uses interview, observation and documentation techniques. The results of this research are that the PAHARI Application can improve the performance of Village Government Apparatus in providing maximum administrative services and can be resolved by developing the PAHARI Application which is innovative, advanced, just and prosperous.
Sibling Discrimination Using Linear Fusion on Deep Learning Face Recognition Models
Authors: Goel Rita , Alamgir Maida , Wahab Haroon , Alamgir Maria , Mehmood Irfan , Ugail Hassan , Sinha Amit
Published: October 2024

Facial recognition technology has revolutionised human identification, providing a non-invasive alternative to traditional biometric methods like signatures and voice recognition. The integration of deep learning has significantly enhanced the accuracy and adaptability of these systems, now widely used in criminal identification, access control, and security. Initial research focused on recognising full-frontal facial features, but recent advancements have tackled the challenge of identifying partially visible faces, a scenario that often reduces recognition accuracy. This study aims to identify siblings based on facial features, particularly in cases where only partial features like eyes, nose, or mouth are visible. Utilising advanced deep learning models such as VGG19, VGG16, VGGFace, and FaceNet, the research introduces a framework to differentiate between sibling images effectively. To boost discrimination accuracy, the framework employs a linear fusion technique that merges insights from all the models used. The methodology involves preprocessing image pairs, extracting embeddings with pre-trained models, and integrating information through linear fusion. Evaluation metrics, including confusion matrix analysis, assess the framework's robustness and precision. Custom datasets of cropped sibling facial areas form the experimental basis, testing the models under various conditions like different facial poses and cropped regions. Model selection emphasises accuracy and extensive training on large datasets to ensure reliable performance in distinguishing subtle facial differences. Experimental results show that combining multiple models' outputs using linear fusion improves the accuracy and realism of sibling discrimination based on facial features. Findings indicate a minimum accuracy of 96% across different facial regions. Although this is slightly lower than the accuracy achieved by a single model like VGG16 with full-frontal poses, the fusion approach provides a more realistic outcome by incorporating insights from all four models. This underscores the potential of advanced deep learning techniques in enhancing facial recognition systems for practical applications.
Intelligent Abstractive Summarization of Scholarly Publications with Transfer Learning
Authors: Zaman Farooq , Afzal Munaza , Teh Pin Shen , Sarwar Raheem , Kamiran Faisal , Aljohani Naif R. Aljohani , Nawaz Raheel , Hassan Muhammad Umair , Sabah Fahad
Published: October 2024

Intelligent abstractive text summarization of scholarly publications refers to machine-generated summaries that capture the essential ideas of an article while maintaining semantic coherence and grammatical accuracy. As information continues to grow at an overwhelming rate, text summarization has emerged as a critical area of research. In the past, summarization of scientific publications predominantly relied on extractive methods. These approaches involve selecting key sentences or phrases directly from the original document to create a summary or generate a suitable title. Although extractive methods preserve the original wording, they often lack the ability to produce a coherent, concise, and fluent summary, especially when dealing with complex or lengthy texts. In contrast, abstractive summarization represents a more sophisticated approach. Rather than extracting content from the source, abstractive models generate summaries using new language, often incorporating words and phrases not found in the original text. This allows for more natural, human-like summaries that better capture the key ideas in a fluid and cohesive manner. This study introduces two advanced models for generating titles from the abstracts of scientific articles. The first model employs a Gated Recurrent Unit (GRU) encoder coupled with a greedy-search decoder, while the second utilizes a Transformer model, known for its capacity to handle long-range dependencies in text. The findings demonstrate that both models outperform the baseline Long Short-Term Memory (LSTM) model in terms of efficiency and fluency. Specifically, the GRU model achieved a ROUGE-1 score of 0.2336, and the Transformer model scored 0.2881, significantly higher than the baseline LSTM model, which reported a ROUGE-1 score of 0.1033. These results underscore the potential of abstractive models to enhance the quality and accuracy of summarization in academic and scholarly contexts, offering more intuitive and meaningful summaries.
Towards Analysable Chaos-based Cryptosystems: Constructing Difference Distribution Tables for Chaotic Maps
Authors: Teh Je Sen , Abba Abubakar
Published: October 2024

Chaos-based cryptography has yet to achieve practical, real-world applications despite extensive research. A major challenge is the difficulty in analysing the security of these cryptosystems, which often appear ad hoc in design. Unlike conventional cryptography, evaluating the security margins of chaos-based encryption against attacks such as differential cryptanalysis is complex. This paper introduces a straightforward approach of using chaotic maps in cryptographic algorithms in a way that facilitates cryptanalysis. We demonstrate how a chaos-based substitution function can be constructed using fixed-point representation, enabling the application of conventional cryptanalysis tools such as the difference distribution table. As a proof-of-concept, we apply our method to the logistic map, showing that differential properties vary based on the initial state and number of iterations. Our findings demonstrate the feasibility of designing analysable chaos-based cryptographic components with well-understood security margins.
Exploring The Role of Green HR and Sustainable Practices in Initial Career Choices from an International Student's Perspective
Authors: Litwinek Justyna
Published: October 2024

The objective of this paper is to verify the attitudes and motivations of young people in the context of their preferences for choosing a future employer, with a particular focus on the role of ecology, Green Human Resource Management, and sustainability practices implemented by companies, including possible differences due to the country of origin factor. Specifically, the article explores international students’ perceptions of sustainable development practices when choosing a job. The article is based on qualitative research – interviews conducted by the author with international students representing 11 different countries. The article is empirical, and the results of the conducted study can provide a basis for making informed decisions on HR practices and development strategies that consider cultural diversity and sustainability values in recruiting and retaining future young employees.
Sustaining Human Capital in an Organization: The Role of Talent Management
Authors: Yerlitas Tugce , Bučiūnienė Ilona
Published: October 2024

Talent management, based on an exclusive approach to talents and focusing on high achievers, may place excessive performance pressure on employees, jeopardize their well-being, threaten workplace equity, and lead to detrimental long-term outcomes for human capital. Research is needed on how organisations can develop more inclusive talent management that aligns the interests of both organisations and employees to sustain human capital. To explore how human capital sustainability is understood and how talent management contributes to it, qualitative research, including 30 interviews with human resource managers from international companies operating in Europe, was performed. The research reveals four pillars of human capital sustainability enhancing talent management and contributes to talent management literature by expanding it with a long-term perspective covering employee-organisation mutual value development.
Ethical considerations of using artificial intelligence (AI) in recruitment processes
Authors: Stuss Magdalena , Fularski Adam
Published: October 2024

The use of artificial intelligence technology in recruitment and selection procedures has become commonplace in business practice. As a result, there has been a significant increase in research on AI recruitment in recent years. However, these studies focus primarily on the considerations of skills and the effectiveness of AI tools. Only recently have analyses emerged presenting these procedures from an ethical perspective. The purpose of the article is to fill this gap and explore the opinions of both HR professionals and employees themselves regarding the use of artificial intelligence-based recruitment solutions. The article contains a systematic review of the literature and the results of a qualitative pilot study. The interview study was conducted in one organisation with the participation of four managers.
Widely accepted assumptions about the objectivity of learning algorithms contribute to a seemingly positive image of AI-powered recruitment among practitioners, but the research conducted showed a number of ethical concerns raised by managers regarding AI recruitment requirements. The contrast between this positive image and the ethical concerns raised by critics of AI recruitment requires an assessment necessary to gain a more scientifically grounded perspective on the ethical status of AI recruitment.
Corporate Social Responsibility in top football league in Europe
Authors: Metelski Adam
Published: October 2024

Sport occupies a significant and impactful position in the lives of many individuals, evoking intense emotions and consistently captivating a broad audience. In today’s economy, the emphasis on sustainability and corporate social responsibility (CSR) prompts scrutiny into whether top football clubs are actively embracing and aligning with these initiatives. To delve into this, the study focused on the top 11 clubs in the English Premier League, distinguished by revenue, and examined their expenditures on CSR initiatives. Despite heavy promotion of CSR initiatives by these clubs, analysis reveals relatively modest actual expenditures on these activities, especially when compared to leading global enterprises. The comparatively low expenditures may stem from flaws in the sports model or an overemphasis on marketing and public relations.
Imprints of interaction processes in the globular cluster system of NGC 3640
Authors: Ennis Ana I , Caso Juan Pablo , Bassino Lilia Patricia
Published: October 2024

We present a wide-field study of the globular cluster systems (GCS) of the elliptical galaxy NGC 3640 and its companion NGC 3641, based on observations from Gemini Multi-Object Spectrograph/Gemini using g’r’i’ filters. NGC 3640 is a shell galaxy which presents a complex morphology, which previous studies have indicated as the sign of a recent ‘dry’ merger, although whether its nearest neighbour could have influenced these substructures remains an open question. In this work, we trace the spatial distribution of the globular clusters (GCs) as well as their colour distribution, finding a potential bridge of red (metal-rich) GCs that connects NGC 3640 to its less massive companion, and signs that the blue (metal-poor) GCs were spatially disturbed by the event that created the shells. While NGC 3640 presents a typical bimodal colour distribution, the GCS attributed to NGC 3641 appears unimodal, with most GCs presenting an intermediate colour in comparison to those closer to its companion.
Knowledge and Awareness on Swine Origin Influenza A(H1N1) Among Health Care Providers and Civil Employees in a Tertiary Level Hospital, Dhaka Bangladesh
Authors: A Rahim Md , Chowdhury Mohammad Mainul Hasan , Selimuzzaman S M
Published: October 2024

Background: Swine Origin Influenza A(H1N1) viruses create yearly epidemics and rarely pandemics that cost millions of lives worldwide. Health care providers and civil employees at hospital can help in prevention of transmission of influenza by acquiring knowledge and awareness. Methods: A descriptive cross-sectional study was conducted at Combined Military Hospital Dhaka from July to December 2023. Total 213 participants were interviewed that comprises doctors, nurses, medical assistants and civil employees. Purposive sampling technique was used to collect data. Face to face interview was done through a pre-tested semi-structured questionnaire. Data were analysed by using Statistical Package for the Social Sciences (SPSS) version 25.0. Informed consent were obtained from the respondents addressing proper ethical issues. Results: In this study out of total participants 70.4% had previously heard about H1N1 influenza A. Total 38% participants said that internet was found as major source of information. Among the participants 64.3% told fever was common symptom and use of facemask at duty hour was consented by 33.8% as an important means for prevention. Maximum (66.3%) civil employees do not know about washing hand after contact as a preventive procedure leading to spread of infection. Maintaining distance as preventive measures observed by 13.6% participants. Moreover, all participants were aware of transmission through droplet infection except civil employees. In the present study, 50% doctors and 38.1% nurses had knowledge that drug Oseltamivir is very effective against swine Influenza A(H1N1). Remarkable differences were identified among doctors, nurses, medical assistants and civil employees regarding knowledge of quarantine and availability of vaccine. RT-PCR laboratory test is the confirmatory method to defect swine influenza A(H1N1) were exactly known by 9.9% participants, while 70.9% participants don't know the confirm diagnostic method. Conclusion: Knowledge and awareness regarding swine influenza A(H1N1) was low among study participants. For controlling epidemic or even pandemic, awareness by mass media is important. Remarkable gap observed regarding knowledge and awareness about swine influenza A(H1N1) among the health care providers and civil employees, needs to be addressed by proper training and motivation.
Bangladesh Armed Forces Med J Vol 57 No (1) June 2024, pp 1-7
Level of Awareness of Breast Cancer Among Adult Female in a Tertiary Level Hospital
Authors: Kabir Bipasha , Islam Shapla , Gupta Sourav Das
Published: October 2024

Background: Breast cancer is the leading and most prevalent form of cancer among the women in Bangladesh. The aim of the study was to assess the level of awareness of the breast cancer among adult female. Methods: A descriptive cross-sectional study was conducted among 103 adult females in Out Patient Departments (OPDs) of Combined Military Hospital (CMH), Dhaka during July to December 2013. Data were collected purposively by face-to-face interview with a semi-structured questionnaire. Results: A total of 103 adult females participated in the study with the mean (±SD) age was 36.26±12.70. Majority 39(37.9%) of the respondents were in age group 29-39. Most 82(79.6%) of the participants were married, 90(87.4%) were housewives, 31(30.1%) were HSC qualified. Maximum 31(88.35%) respondents had average knowledge on breast cancer. Education and occupational status was found significantly associated with level of knowledge of the respondents. Conclusion: The overall knowledge of the respondents was found average. As it is a major health burden in women and incidence is very high in Bangladesh concern authority should take necessary action to adopt measures to increase the awareness on breast cancer.
Bangladesh Armed Forces Med J Vol 57 No (1) June 2024, pp 14-21
Screening of Pre-Diabetes and Type-II Diabetes Mellitus Among the Personnel of Bangladesh Air Force
Authors: Al Mamun A K M , Mohsin Mohammad , Jesmine Rezina , Ali Md Sihab
Published: October 2024

Background: Medical Squadron (Med Sqn) of Bangladesh Air Force (BAF) Base Bashar (BSR) has been providing medical support for BAF Base BSR, Air Headquarters, most of the retired officers and their families. It has been observed that the number of Diabetes Mellitus (DM) patient is increasing day by day, and now it becomes a major health problem among the members of BAF, even among the young age group. In view of above, a study was conducted among the BAF uniform members who reported for laboratory investigation to Med Sqn BAF Base BSR. Assessing prevalence of DM among BAF personnel will also help for overall assessment of health problem of BAF personnel to make a preventive guideline. Methods: A descriptive type of cross-sectional study was conducted with available data in the pathological laboratory of Med Sqn BAF Base BSR during the period from 01 July 2021 to 30 Jun 2022. Within this period a total 9269 Air Force uniform members reported for routine as well as diagnostic purpose of checking blood sugar. Associated risk factor like overweight or obesity was also assessed by latest data from personal documents. Age and job pattern wise data were also analyzed. Statistical Package for Social Sciences (SPSS) version 29.0 was used to analyze data. Results: Out of 9269 BAF members a total 683 persons (7.36%) had high (above normal) plasma glucose. Of these 413(60.46%) were diabetic and 270(39.53%) were pre-diabetic (IFG/IGT). Among the 413 diabetic patients 292(42.75%) had fasting plasma glucose (FPG) ≥7 mmol/L as well as post prandial plasma glucose (PPPG) level ≥11.1 mmol/L. Among the 270 pre-diabetic patients 205(30.01%) had FPG level between 6.1-6.9 mmol/L with PPPG level <7.8 mmol/L (Impaired Fasting Glucose/IFG) and 65(9.51%) had FPG level <7 mmol/L with PPPG level between 7.8-11 mmol/L (Impaired Glucose Tolerance/IGT). Conclusion: DM has become a major health concern all over the world. This study attempted to identify the prevalence of age-related factors for DM among BAF uniform members between the ages 30 to 60 years. It has been observed that the prevalence of pre-diabetes is more among the 41 to 45 years age group and Type-II DM among the 46-50 years age group.
Bangladesh Armed Forces Med J Vol 57 No (1) June 2024, pp 22-27
Study of Association of PPH due to Uterine Atonicity and Serum Calcium levels
Authors: Parvin Suraiya , Siddiquee Nazma
Published: October 2024

Background: Uterine atonicity stands out as a primary and leading factor contributing to maternal morbidity and mortality. Postpartum hemorrhage (PPH) resulting from uterine atony poses a life-threatening risk. Oxytocic drugs, by elevating intracellular calcium, enhance uterine tonicity, with optimal calcium levels playing a crucial role in facilitating effective uterine contractions. The study aimed to explore the relationship between the concentration of calcium in the bloodstream and the occurrence of PPH associated with inadequate uterine contractions admitted during the 1st and 2nd stages of labour at a tertiary care facility such as the Combined Military Hospital in Dhaka. The study likely involved analyzing data to identify any patterns or connections between serum calcium levels and the incidence of uterine atony-related PPH. Methods: The study follows a randomizing controlled trial (RCT) design within the Department of Obstetrics and Gynecology at Combined Military Hospital, Dhaka. The study duration spans from January 2016 to January 2019, involving a total of 306 subjects. Group A includes those with serum calcium levels between 8-10.4 mg/dl without uterine atonicity, while Group B comprises individuals with serum calcium levels below 8 mg/dl experiencing uterine atonicity, either post cesarean or vaginal delivery. Atonicity features include a soft, distended uterus with a lack of muscle tone. Results: A total of 306 patients were included in the study, with 153 having serum calcium levels exceeding 8 mg/dl and another 153 having levels below 8 mg/dl. Among women with serum calcium levels below 8 mg/dl, 37 patients experienced uterine atonicity. In contrast, it was observed that among women with serum calcium levels exceeding 8 mg/dl, only one patient experienced uterine atonicity. This highlights a potential association between higher serum calcium levels and a reduced likelihood of developing uterine atony in the studied population. Conclusions: The study findings indicate a strong association between low calcium levels and reduced uterine tonicity, establishing low calcium as a significant risk factor for uterine atony.
Bangladesh Armed Forces Med J Vol 57 No (1) June 2024, pp 28-34
A case of Iatrogenic Pseudo Aneurysm of Femoral Artery
Authors: Rahman Mir Atiqur , Chy Umme Kulsum , Sultana Amina , Faruq Mohammad Omar
Published: October 2024

A 55-year-old woman was admitted hospital in-patient unit withfever and breathlessness for 5 days. Pertinent medical history included chronic kidney disease (CKD), poorly controlled Diabetes with retinopathy, Hypertension and Bronchial asthma. After admission patient was found to be severely anaemic and her stool was black and tarry. Blood transfusion was required for correction of anaemia. Endoscopy of upper GIT was planned after stabilization. RT PCR for COVID-19 was positive. After couple of days she became desaturated in spite of  high level of oxygen delivery  and  was shifted to ICU.
Bangladesh Crit Care J September 2024; 12 (2): 179-180
Opportunities and Challenges of Application of Cytosorb Therapy in Sepsis Management
Authors: Halim Mohammad Rabiul , Nishat Rahatul Jannat
Published: October 2024

Sepsis is a life-threatening organ dysfunction due to a dysregulated host response to infection. In 2017, an estimated 48·9 million incident cases of sepsis were recorded worldwide, and 11·0 million sepsis-related deaths were reported, representing 19·7% of all global deaths.1 Though overall data related to sepsis is poor but it is also a major health care challenge for resource limited countries. Severe sepsis is a significant & common health problem in ICU patients of Bangladesh2. A continuum of severity from sepsis to septic shock and multi-organ dysfunction syndrome (MODS) exists. MODS is a clinical syndrome characterized by the development of progressive and potentially reversible physiologic dysfunction in 2 or more organs or organ systems that is induced by a variety of acute insults, including sepsis. Sepsis leads to malignant intravascular inflammation, coagulopathy, circulatory derangement, tissue hypoxia, cytotoxicity and apoptosis. As a result, dysfunction of vital organ systems occur. Host response and other factors influenc outcome. Patients with sepsis must be treated with-timely, appropriate antibiotics, intravenousfluids, vasopressor and inotropic support & oxygen therapy.3 Other additional treatments including extracorporeal blood purification techniques (BPT). These techniques include hemofiltration, hemoperfusion, intermittent or continuous high-volume hemofiltration (HVHF), plasmapheresis or adsorption.4 The rationale behind such an approach is to achieve “immune homeostasis” which theoretically reduces the potential damage caused by dysregulation of the host response to infection. Given the pivotal role of cytokine production in sepsis, it follows that removal of these substances, through such BPT, may attenuate the response particularly in the early phase of sepsis.5 Indications include 1) Rhabdomyolysis resulting from Reperfusion syndrome, Trauma, Malignant Hyperthermia. 2) External injuries including Sepsis/Septic shock, Hemorrhagic shock, Trauma, Ruptured aortic aneurysm, Post-Cardiac Arrest Syndrome, Cardio-pulmonary resuscitation, Extensive surgery, Organ transplantation, Cardiosurgical intervention, Severe skin and soft tissue damage, Burns, Necrotizing fasciitis, Post-Cardiotomy Syndrome, Acute Respiratory Distress Syndrome. 3) Diseases: Pancreatitis, Liver insufficiency, Renal insufficiency, Stroke, Myocardial infarction, Cardiogenic shock/Heart failure, Tumor Lysis Syndrome, Hemophagocytosis Syndrome. Liver failure/Hyperbilirubinemia bridging to transplant or to recovery, Life-threatening bleeding under Direct Oral Anticoagulants (DOAC)6.
Bangladesh Crit Care J September 2024; 12 (2): 79-80
Evaluation of Bedside Lung Ultrasonography in Diagnosis of Acute Pulmonary Oedema
Authors: Tanvir Sardar Mohammad , Nesa Fazilatun , Habibullah Md , Salim Mohammad , Mohsin Mohammad , Sarker Subroto Kumar , Rahman AKM Ferdous , Khan Hasib Uddin , Khalil Md Ibrahim , Hossain Md Mozaffer
Published: October 2024

Background: Pulmonary oedema is one of the major causes of mortality and morbidity. Acute heart failure is the major cause of pulmonary oedema. NT-pro B-type natriuretic peptide has been found to be effective in distinguishing acute pulmonary oedema from other causes of dyspnea in the emergency care setting. But it is costly and time consuming. Bedside lung ultrasonography (LUS) is being considered as noninvasive, radiation-free and easy to perform tool to diagnosis pulmonary oedema.
Objective: To determine the role of bedside LUS in diagnosis of patients with acute pulmonary oedema.
Methods: This observational cross-sectional study was carried out in ICU, Department of Anaesthesia, Analgesia, Palliative & Intensive Care Medicine, Dhaka Medical College Hospital, Dhaka from August 2018 to October 2019. Ethical approval was sought before conduction of the study. One hundred critically-ill patients with pulmonary oedema, detected by clinical examination & chest X-ray, due to heart failure were included in the study. Routine labs including NT-pro B-type natriuretic peptide level were sent. Bedside LUS was done with a portable ultrasound machine. Data was collected by using a semi-structured data sheet.
Observation and Results: The median age was 42 years (IQR 18-66). Among them, 67.71% were male. 90.0% of patients diagnosed as acute pulmonary oedema by NT-pro B-type natriuretic peptide levels findings and 88.5% of patients were diagnosed as acute pulmonary oedema by bedside lung ultrasonography. The sensitivity, specificity, positive predictive value, negative predictive value and accuracy  of lung ultrasonography findings alone statistically significant as 94.2%, 66.7%, 96.4% & 54.5% and 91.66% respectively in detection of pulmonary oedema.
Conclusions: Bed side lung ultrasonography can be an effective adjunct tool for rapid and high diagnostic accuracy for diagnosis of acute pulmonary oedema along with NT pro BNP level in ICU.
Bangladesh Crit Care J September 2024; 12 (2): 113-117
Implementasi Prinsip Bermain Sambil Belajar Dalam Mengembangkan Keterampilan Motorik Halus Anak (Studi Deskriptif di PAUD Kasih Ibu)
Authors: Hamida Maesaroh , Hardiansyah Rila
Published: October 2024

Abstract: This research aims to describe the application of the principle of play while learning in developing children's fine motor skills through the constructive Lego play method and to describe the level of fine motor skills in PAUD children with mothers' love through the constructive Lego play method. This research uses descriptive quantitative methods. The sample was determined using a saturated sampling technique with a population of 21 people and 21 research subjects. The data collection techniques used were observation tests, interviews and documentation. The analytical method used is descriptive quantitative. So the conclusion from the percentage results for the BB (Not Yet Developed) category is 3.5%, MB (Starting to Develop) at 6.5%, BSH (Developing According to Expectations) at 36% and BSB (Developing Very Well) at 54% and the conclusion that What can be taken from the application of the principle of playing while learning in developing children's fine motor skills is that through playing children can gain various abilities such as communication skills, language skills, social skills, emotional management skills and the ability to think logically.Keywords: Application of the principle of playing while learning, skills children's fine motor skillAbstrak: Penelitian ini bertujuan untuk mendeskripsikan penerapan prinsip bermain sambil belajar dalam mengembangkan keterampilan motorik halus anak melalui metode bermain lego konstruktif dan untuk mendeskripsikan tingkat keterampilan motorik halus pada anak PAUD kasih ibu melalui metode bermain lego konstruktif. Penelitian ini menggunakan metode kuantitatif deskriptif. Penentuan sampelnya menggunakan teknik sampling jenuh dengan jumlah populasi 21 orang dan subyek penelitian 21 orang. Adapun teknik pengumpulan data yang digunakan adalah tes observasi, wawancara dan dokumentasi. Metode analisis yang digunakan yaitu deskriptif kuantitatif. Jadi kesimpulan dari hasil persentase kategori BB (Belum Berkembang) yaitu 3,5%, MB (Mulai Berkembang) sebesar 6,5%, BSH (Berkembang Sesuai Harapan) sebesar 36% dan BSB (Berkembang Sangat Baik) sebesar 54% dan kesimpulan yang dapat diambil dari penerapan prinsip bermain sambil belajar dalam mengembangkan keterampilan motorik halus anak adalah melalui bermain anak dapat memperoleh berbagai kemampuan seperti kemampuan berkomunikasi, kemampuan berbahasa, kemampuan bersosialisasi, kemampuan memanajemen emosi dan kemampuan berpikir secara logis.Kata Kunci: Penerapan prinsip bermain sambil belajar, keterampilan motorik halus anak
Strategi Harian Kompas Dalam Membangun Brand Engagement NFT Kompas Melalui Aktivitas Community Relation
Authors:   Universitas Multimedia Nusantara Indonesia, Kontessa Tarrence Karmelia , Layardi Hendy ,   Universitas Multimedia Nusantara Indonesia
Published: October 2024

Digital transformation is something that most industrial players have done and continue to do. Transformation is carried out, through the use of the latest technology products such as non-fungible tokens (NFT). The popularity of NFTs, has grown rapidly and has become a hot topic of conversation in Indonesia. Kompas Daily as the largest national media in Indonesia has introduced NFT products through the Narasi Fakta Terkurasi (NFT Kompas) project since June 28, 2022. This project started with a decision to explore new business potential within the Kompas Gramedia Group. The boom in crypto, NFT and metaverse in early 2022 is considered as a great potential to develop the business. To support the Kompas NFT project, Kompas Daily is building a community and holding various activities as an effort to build Kompas NFT brand engagement. This research first adapts the Community Involvement concept by Lakin & Scheubel (2017) to understand Kompas' daily strategy, especially in building brand engagement in the Kompas NFT online community on the Discord channel. It was concluded that Kompas' NFT technology products had received a positive response and were able to build brand engagement in the NFT community which had the potential to become a new audience for Kompas Daily. Second, through Everett M. Rogers' diffusion-of-innovation theory, the research also explores the socialization strategy for Kompas NFT products. It was concluded that the exhibition forums, media articles and Townhall Meetings held by Kompas Daily to encourage the adoption of NFT innovation internally and externally to the company, were effective strategies for building audience adaptation to Kompas NFTs. This qualitative research using can be developed further, especially to examine more deeply community relations strategies for new technology products that are increasingly appearing in this digital era.
Pengunaan NARS Power Players Sebagai Virtual Brand Ambassadors Untuk Memengaruhi Konsumen
Authors:   LSPR Institute of Communication and Business Indonesia, Witjaksono Klarissa Jessenia , Eymeren Margawati Van ,   LSPR Institute of Communication and Business
Published: October 2024

Virtual brand ambassadors have become a new type of brand spokesperson with the advent of Artificial Intelligence (AI). NARS Cosmetics, a pioneering cosmetics company, has introduced their own virtual brand ambassadors known as NARS Power Players. However, the existing literature has not yet answered whether the attributes of virtual entities can shape consumer response. The novelty of this research lies in its focus on NARS Cosmetics' virtual brand ambassadors, the NARS Power Players, which are a new phenomenon in the field of brand representation. While virtual brand ambassadors have emerged with AI technology, there is a gap in the existing literature regarding how the attributes of these virtual entities specifically impact consumer attitudes. This study addresses this gap by investigating the influence of credibility, attractiveness, congruence, and human-likeness of NARS Power Players on consumer attitudes. Additionally, the study incorporates several relevant theories, including Stimulus-Response Theory, Source Credibility Model, Source Attractiveness Model, Match-up Hypothesis, and Uncanny Valley Theory, to provide a theoretical framework for understanding the impact of virtual brand ambassadors. The use of quantitative methodology and the specific focus on NARS Power Players contribute to the novelty of this research, offering insights that can further enhance our understanding of consumer responses to virtual brand representatives.This study used quantitative methodology by distributing online questionnaires to 112 respondents. The results showed that the credibility, congruence, and human-likeness of virtual brand ambassadors had a positive and significant influence on consumer attitudes. However, attractiveness did not have a significant influence on consumer attitudes. Researchers can further explore this topic by conducting investigative qualitative research on consumer perceptions and comparative analysis with human endorsers and non-human endorsers.
Pemanfaatan Media Sosial untuk Quality Time Keluarga pada Pekerja Stayer dan Mover
Authors:   Universitas Indonesia Indonesia, Putranto Adhy , Awani Carolina Dwita ,   Universitas Indonesia Indonesia
Published: October 2024

Physical absence due to distance limits quality family time for workers due to job migration. Social media now has become a means of communication to maintain ties, form family identity, and replace physical presence. This research aims to test and prove the existence of differences between stayer and mover (circular) workers in utilizing social media for quality family time. This research uses quantitative methods, explanatory in nature, with comparative analysis. The survey method was used to collect data by filling out a questionnaire via Google Form. The sample was selected using convenience sampling from workers in a number of offices in the Jabodetabek area. Data processing was carried out using SPSS version 29 on 127 questionnaires filled in by respondents. The Mann-Whitney Test was used to determine differences in the use of social media by stayer and mover (circular) workers. The research results show that there are differences between stayer and mover (circular) workers in utilizing social media for family quality time, as measured by perceptions, attitudes, behavior and level of social media use. Behavioral variables have a moderate correlation to perception variables, and strong correlations to attitude variables. The variable level of social media use has a very weak correlation with the variables of perception, attitude and behavior. This proves that compared to stayer workers, mover (circular) workers use social media more to create quality family time and overcome physical absence. It is recommended that further research add qualitative methods (becoming mixed methods) so as to enrich and strengthen the data about the different reasons for using social media through in-depth interviews. Expanding the opulation, different research areas, and samples involving different community groups can be carried out to determine differences in the use of social media by other community groups.
The potential of protein-bound uremic toxins as biomarkers of kidney tubular function
Authors:   , Ahmed Sabbir
Published: October 2024

Chronic kidney disease (CKD) affects about 10% of the global population, leading to end-stage kidney disease (ESKD) requiring expensive treatments like dialysis or kidney transplantation. High mortality rates and decreased quality of life are common in these patients, especially those on dialysis. Early detection of CKD is crucial to slowing disease progression and minimizing complications. Protein-bound uremic toxins (PBUTs), like indoxyl sulfate (IS) and p-cresyl sulfate (PCS), accumulate in the blood as kidney function declines, contributing to CKD progression. Since PBUTs rely on tubular secretion for elimination, they can serve as biomarkers for tubular dysfunction in CKD. This thesis explores the potential of PBUTs as markers for tubular function by studying six PBUTs: IS, hippuric acid (HA), kynurenic acid (KA), p-cresyl glucuronide (PCG), PCS, and indole-3-acetic acid (IAA).

The thesis research first developed a reliable method for measuring these toxins using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and then analysez PBUTs in different disease models. Results indicated that plasma IS levels, in particular, could serve as sensitive biomarkers for tubular function in CKD, better than traditional markers. Additionally, PBUTs, especially IS, HA, and KA, were more closely associated with tubular atrophy and inflammation in diabetic nephropathy (DN), a major cause of ESKD. These findings were confirmed in a cohort of DN patients, where PBUT clearance was linked with urinary tubular damage markers.

Overall, the thesis supports the use of PBUT clearance, particularly IS and HA, as biomarkers for tubular dysfunction in CKD and DN, offering new insights into disease progression and potential therapeutic strategies.
Mapping the Path of Digital Transformation: The Role of Leadership in Building Adaptive Organizational Culture
Authors: Haryanto Budi , Wiyono Bambang Budi , Supriyanto A
Published: October 2024

The development movement continues towards the digital transformation era, marked by rapid advances in information and computer technology (ICT) and the emergence of social media platforms that change the order of life to be more practical and accessible and deny the geographical distance between people. These changes require universities to adapt to the demands of rapid development. This study aims to explore the strategies carried out by university leaders in facing the challenges of the digital era and map the extent to which the transformation of university organizational culture is operated in the face of digital technology pressure. The research used a qualitative approach with a multi-site format in three private universities. Data analysis applies constant comparative analysis, which ends with a simultaneous analysis step. The results showed that university leaders are ready to implement an open strategy in facing the challenges of the digital era by utilizing these technological advances. However, there are differences in the utilization of network assets owned by institutions and the knowledge and experience of leaders. Organizational culture transformation is operated to the extent that institutions can master digital technology to optimize the performance of institutional services. Universities' engagement with digital technology does not disrupt the resilience of their organizational culture because it only leads to an adaptive surface layer.
Empowering Educational Leadership: The Role of Principal in Enhancing Learning Quality and Teacher Performance
Authors: Aimang Hasrat A , Judijanto Loso , Mufarrihah Anik , Suprayitno Degdo , Susanti Melly
Published: October 2024

This study analyzes how principal leadership can manage their teaching staff to improve the quality of learning and their performance in schools. This study uses a qualitative approach to the case study type. Data collection techniques are carried out through interviews, observations, and documentation. Data analysis uses the Miles and Huberman interactive model, which consists of data reduction, presentation, and conclusion. The study results indicate that effective principal management involves several main stages, namely planning teacher performance development programs, developing clear strategies, and scheduling integrated with the school's academic calendar. Principals who successfully implement this management can consistently improve teacher performance, which improves the quality of learning in schools. In addition, the principal's provision of rewards and sanctions has proven to be an effective motivator for teachers to continue improving their performance. This study is expected to significantly contribute to the literature on educational management by highlighting the importance of the role of the principal in improving the quality of learning through effective management.
Transformational Leadership: Women's Role in Building Competitive Integrated Islamic School
Authors: Kasman Kasman , Setiadi Fadlan Masykura , Zulfikar Zulfikar
Published: October 2024

This study aims to analyze the principal's strategy in overcoming obstacles such as gender stereotypes and patriarchal culture and its impact on the management of educational institutions into competitive integrated Islamic schools. The research method used is field research with a qualitative case study approach. Data were collected through interviews, observations, and documentation. Data were analyzed thematically to identify themes of women's leadership and patriarchal challenges and interpreted to understand their impact on school culture. The results of the study indicate that women's leadership in schools has shown extraordinary abilities in overcoming the obstacles faced, especially gender stereotypes and patriarchal culture. With an inclusive, participatory, and transformational leadership approach, the principal has proven her capability to manage educational institutions with solid vision, integrity, and commitment. This study contributes to the field of educational leadership by providing empirical evidence of the effectiveness of women's transformational leadership in the context of Islamic education, especially in overcoming gender-based challenges.
Digital Literacy, Skills, and Security: Impact on Digital Leadership in Higher Education
Authors: Pranata Sungguh Ponten
Published: October 2024

This research examines the influence of digital literacy and social media usage skills on digital leadership in higher education and the moderating role of digital security and antivirus software. This research uses the path analysis method with Smart PLS 4.0 software. They were conducted from January to February 2024, involving 100 management program students using the saturated sampling method. The research results show that digital literacy and social media usage skills positively and significantly affect digital leadership. Digital security also has a positive impact on digital leadership. However, the hypothesis regarding antivirus and security systems as moderating variables was rejected, indicating that they did not increase the influence of digital security or social media skills on digital leadership. This research contributes to developing university curricula and leadership programs by integrating aspects of digital security. The model successfully identified significant influences on digital leadership with high reliability and validity. The rejection of some moderation hypotheses suggests that further research is needed to understand the dynamics between these variables, paving the way for refining the model and exploring other influencing factors.
Organizational Culture and Child-Friendly Schools: Insights for Early Childhood Education
Authors: Supriyono Eko , Nurhajah Siti , Ratnawati Eka , Munfa'atin Djohar , Herman Maman
Published: October 2024

This study explores how a conducive learning environment in P.A.U.D. affects early childhood development and public trust in schools. This study aims to identify critical factors that create a positive learning environment and provide practical recommendations for educators and policymakers. This study uses a qualitative approach with a case study method, where data are collected through in-depth interviews, observations, and documentation. The data obtained are analyzed using Milles and Huberman’s interactive analysis technique, which involves the process of data reduction, data presentation, and conclusion. The analysis results show that collaboration between teachers, staff, parents, and children is essential in building a supportive learning atmosphere and increasing parental trust in the quality of education. Emotional support from teachers and the active participation of parents in school activities have proven crucial in creating a conducive environment. The conclusion of this study confirms that a conducive learning environment not only increases children’s motivation and achievement but also strengthens the relationship between schools and the community. The main contribution of this study is to provide an effective strategy for developing collaboration between schools, parents, and the community to create an optimal learning environment.