bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENYEMBUNYIAN PENGETAHUAN: TREN PENELITIAN ANALISIS BIBLIOMETRI TAHUN 2018-2023
Authors: Sari Annisa , Suyono Joko 
Published: April 2024

The study conducted a comprehensive bibliometric analysis to examine the growing research on knowledge hiding over the past five years from 2018 to 2023. Knowledge hiding is behavior that is perpetrated by withholding knowledge that has been requested by others. Through a systematic review of academic literature, this study aims to reveal the popularity of research related to knowledge hiding through descriptive analysis. This study also seeks to evaluate publication performance based on a series of indices such as h-index, number of publications, citations, to the year of publication. This study also aims to explore intellectual structure through content analysis to citation analysis to summarize the results of knowledge hiding research. This study used the Scopus database and obtained 210 research articles related to knowledge hiding from 66 different sources and the results of collaboration from 496 authors. The data that has been obtained is then analyzed using bibliometric R packages and VOSviewer software which are presented in the form of descriptive analysis and content analysis. The use of bibliometrics provides a snapshot of the current knowledge hiding and provides direction on potential implications for management practices and organizational behavior. Over the past five years, it can be seen that the topic of hiding knowledge has grown and making knowledge hiding a topic that is in great demand by writers
THE INFLUENCE OF EMOTIONAL INTELLIGENCE ON ENGLISH LEARNING OUTCOMES OF CLASS XI STUDENTS MA. MURSYIDUTTHULLAB LEMBANNA
Authors: Rahmi Rahmi , Irfayani Irfayani 
Published: April 2024

This study aims to determine the significance of the influence of emotional intelligence on the results of learning English for class XI, MA. Murshidutthullab Lembanna. The method used in this research is a quantitative method. The results of the study are simple linear regression equations. In the analysis that has been carried out on the basis of decision-making, "If Tcount is greater than Ttable," then H0 is rejected, and Ha is accepted. This shows that tHitung is 25.465 > ttable is 1.691, so it can be interpreted that there is a significant influence on emotional intelligence on English learning outcomes. In addition, if seen in the correlation coefficient of 0.654, the coefficient of determination (R squared) is 0.428, or 42.8%, and the rest is influenced by several factors that were not carried out in this study, namely 57.2%. So it can be interpreted that there is a positive and significant influence of emotional intelligence on the results of learning English for students in class XI. MA. Murshidutthullab lembanna
PENGELOLAAN KARIER SUMBER DAYA MANUSIA
Authors: Faqih Abdul , Haqq Mu’tashim Abdil , Alghifari M. Sulton , Wahjono Sentot Imam 
Published: April 2024

This research discusses the importance of managing human resource careers in an organizational environment. Career is a key factor in improving employee performance, achieving organizational goals, and maintaining employee satisfaction. This study used various references related to human resource management, including several related studies conducted by Wahjono, Sentot Imam, and colleagues. Research methodology involves literature analysis and case studies with the aim of gaining a deeper understanding of effective career management practices
The Relationship of Perceived Social Support with Level of Insight and Treatment Adherence in Individuals Diagnosed with Schizophrenia and Bipolar Disorder
Authors: Kocakaya Hanife , Arslan Kübra , Buturak Şadiye , Turgal Ebru 
Published: April 2024

Purpose: This study aims to examine the relationship between perceived social support, insight, and treatment adherence in patients with schizophrenia and bipolar disorder.
Materials and Methods:This study was conducted with 110 individuals, 55 of whom were bipolar and 55 patients with schizophrenia, who received inpatient treatment in the last 1 year, were in remission. Sociodemographic and clinical data form, Young Mania Rating Scale (YMDS), Clinical Global Impressions Scale (CGI), Schedule for Assessment of Insight (SAI), Morisky Medication Adherence Scale (MMAS), and Multidimensional Scale of Perceived Social Support (MSPSS) were administered to the participants.
Results: The mean age was 40.47±12.96 for bipolar patients and 40.45±11.71 for schizophrenics. Perceived family, friend, significant others support, and total support was found to be higher (p=0.000, p=0.000, p=0.004, p=0.000, respectively) in bipolar patients, and the highest support was perceived from family, followed by friends and significant people. Although the groups did not differ in terms of treatment adherence (p=0.083), the insight score was significantly higher in bipolar patients (p=0.001). Groups were evaluated with hierarchical regression analysis in terms of factors affecting perceived social support. Gender, years of education, insight, and treatment adherence were found to be predictive of social support (p=0.04, p=0.01, p
Telepharmacy intervention: Can it impact medication adherence among patients with chronic disease?
Authors: Kambira Pretty  Falena Atmanda , Noviani Lusy , Hendrawan Angelina M. E. L. 
Published: April 2024

Background: Medication adherence among patients with chronic diseases remains challenging for healthcare professionals. The large number and types of drugs that must be taken in the long term and the lack of knowledge related to drugs and diseases are factors that affect patient compliance. Telepharmacy is expected to improve patient medication adherence by providing easy access to consult with pharmacists.
Objective: To assess the effect of telepharmacy on chronic patient medication adherence.
Methods: This study had a cross-sectional study design, and the study population was Lifepack application users. The data was collected through an online questionnaire distributed through the Lifepack platform. The adherence was evaluated using the Morisky Medication Adherence Scale, and the association of telepharmacy and patient medication adherence was examined using the chi-square independence test with significance at p < 0.05.
Results: In a study comprising of 94 respondents, a proportional ratio of respondents who used and did not use telepharmacy services was observed (45.75% and 54.25%, respectively). Analysis using the chi-square statistic (χ²) demonstrated a significant association between telepharmacy and patient adherence (χ² = 64.745, df = 1, p < 0.001). Furthermore, the odds ratio (OR) revealed a substantial difference in adherence, with an OR of 122.67 (95% CI [27.58, 545.66]).
Conclusion: Telepharmacy has a significant impact on medication adherence in chronic patients.
The mechanism of action underlying antibacterial activity of a diterpene quinone derivative against Staphylococcus aureus through the in vitro and in silico assays
Authors: Ulfah Aida Julia , Hamidy Muhammad Yulis , Teruna Hilwan Yuda 
Published: April 2024

Background: The need for new antibacterials to combat resistance is still constrained by the availability of antibacterials that are safe to use. Diterpene quinone-derived compounds are proven to have antibacterial activity. However, their mechanism of action is unknown.
Objective: This study aims to determine the mechanism of antibacterial action of a diterpene quinone (6O7AR) on Staphylococcus aureus through in vitro and in silico assays.
Method: MIC tests were performed using microdilution, and MBC determinations were carried out on MHA media. In vitro assays were conducted using membrane permeabilizing with Tris, Triton X-100, and ATPase-inhibiting agents with NaN3. Docking was performed on 2XCT proteins in S. aureus bacteria using AutoDock Vina.
Result: The MIC and MBC results of 6O7AR were 300 μM and 2400 μM, respectively. The in vitro assay result suggested that the antimicrobial activities of 6O7AR were associated with the inhibition of ATPase function and disrupting membrane function. The docking results showed that the compound possessed good interactions with the 2XCT proteins of S. aureus.
Conclusion: 6O7AR exhibited good antibacterial activity. Based on in vitro and in silico assays, the mechanism of action of this compound is related to the disruption of bacterial membrane function, and it has the potential to inhibit the ATPase enzyme and the S. aureus gyrase.
The effects of DAGUSIBU education on the level of community knowledge in obtaining, using, storing, and disposing of drugs in West Java, Indonesia
Authors: Noviani Lusy , Rachmawati Putriana , Febrinella Catleya 
Published: April 2024

Background: In 2022, health products were the best-selling category in the marketplace. Over-the-counter medicines are the only types of drugs that can be sold online. However, in reality, many prescription drugs are being traded online. A lack of public awareness about purchasing drugs online can have negative consequences, such as buying counterfeit and hazardous medicines and drugs without distribution permits. A community health initiative for public education, DAGUSIBU, is being powered by pharmacists and must be encouraged.
Objective: To educate the public about the DAGUSIBU and measure the changes in public knowledge after the education process.
Methods: A quasi-experimental one-group pre-test and post-test method was used to design the study. Univariate and bivariate Wilcoxon tests were used to analyse the data.
Results: The level of public knowledge before education was 49.41% in the poor category, 36.72% in the good category, and 13.87% in the adequate category. Following education, the respondents’ level of knowledge was classified as good (48.46%), adequate (41.12%) and poor (10.42%). The p-value of the level of knowledge before and after education was < 0.05, according to the Wilcoxon test.
Conclusion: DAGUSIBU education in digital platforms to obtain drugs had a significant impact on public knowledge
Pengaruh Co-worker Support dan Lingkungan Kerja Terhadap Turnover Intention Melalui Motivasi Kerja pada Pekerja Gen Y dan Z di Kota Malang
Authors: Gimnatyar Ganda Wijaya  , Ryan Basith Fasih Khan  
Published: April 2024

This study aims to determine the effect of Co-worker Support and Work Environment on Turnover Intention by mediating Work Motivation in Generation Y and Z workers in Malang City. The study used quantitative techniques. The total population in the study was 452,435 people. The sampling technique in this study used the formula Hair et al., nx5, so that 160 respondents were obtained. This study used the Partial Least Square (PLS) data analysis method using Smart-PLS software version 3.0. The results showed that co-worker support has no effect on turnover intention, work environment has a positive and significant influence on turnover intention, co-worker support has a positive and significant influence on work motivation, work environment has no effect on work motivation, work motivation is able to mediate the relationship between co-worker support and turnover intention , and work motivation is unable to mediate the relationship between the work environment and turnover intention in gen y and z workers in Malang City.
Perkembangan Kesenian Tradisional Buaya Putih pada Acara Pernikahan di Kampung Curugdahu Desa Kadubeureum Kecamatan Padarincang Kabupaten Serang Tahun 1992-2022
Authors: Nofriana Fenny , Rustamana Agus , Ribawati Eko 
Published: April 2024

This research aims to explain the development of White Crocodile Traditional Art at weddings in Curugdahu village Kadubeureum sub-district Padarincang district Serang Regency 1992-2022: 1) how the White Crocodile art emerged and developed, 2) how the function of the White Crocodile traditional art changed. The method used in this research is the historical method, including: heuristics, source criticism, interpretation, and historiography. The background of the birth of the traditional art of Buaya Putih is not known for certain, but it began to appear in the 1970s. The White Crocodile Traditional Art experienced development in 1992-2022. The White Crocodile Traditional Art was originally only a traditional art at weddings that functioned to parade the groom using a replica of the White Crocodile to put offerings to the 0bride's house. Along with its development, the White Crocodile art is no longer used as a traditional art for weddings, but as a mauludan event, welcoming guests, building inauguration, government anniversaries, circumcisions and entertainment shows. This shows that there is a shift in the value of functions that occur in the White Crocodile art. The influence of the traditional art of White Crocodile on the socio-cultural life in Curugdahu village, Kadubeureum village, Padarincang sub-district as a community tradition. The traditional art of White Crocodile must be preserved as a cultural identity of the people of Curugdahu Village, Kadubeureum Village, Padarincang District in order to maintain cultural values and local wisdom.
Pengaruh Brand Awareness dan Brand Ambassador terhadap Loyalitas Konsumen Melalui Kepuasan Konsumen Sebagai Variabel Intervening: Studi pada Konsumen Air Minum Crystalin di Kota Gresik
Authors: Syafira Chamila Rahma  , Budi Prabowo  
Published: April 2024

This research aims to determine and analyze the influence of Brand Awareness on Costumer Satisfaction, the influence of Brand Ambassadors on Costumer Satisfaction, the influence of Brand Awareness on Costumer Loyalty, the influence of Brand Ambassadors on Costumer Loyalty, the influence of Costumer Satisfaction on Costumer Loyalty, the influence of Brand Awareness on Costumer Loyalty through Costumers Satisfaction, the Influence of Brand Ambassadors on Costumer Loyalty through Costumer Satisfaction. The population of this research is Crystalin drinking water Costumers who live in Gresik. The sample used was 100 taken using purposive sampling technique. Data analysis in this research used SEM-PLS with SmartPLS software version 4.0. The research results show that Brand Awareness (X1) has a significant effect on Costumer Satisfaction (Z). Brand Ambassador (X2) has a significant effect on Costumer Satisfaction (Z). Brand Awareness (X1) has a significant effect on Costumer Loyalty (Y). Brand Ambassador (X2) has no significant effect on Costumer Loyalty (Y). Costumer Satisfaction (Z) has a significant effect on Costumer Loyalty (Y). Brand Awareness (X1) has a significant effect on Costumer loyalty (Y) through Costumer Satisfaction (Z). Brand Ambassador (X2) has a significant effect on Costumer Loyalty (Y) through Costumer Satisfaction (Z).
Peran Pemerintah Dalam Pengawasan Keselamatan dan Kesehatan Kerja Dinas Tenaga Kerja dan Transmigrasi Provinsi Jawa Timur (K3) Kepada Para Pekerja di Lingkungan Tempat Kerja
Authors: Sahranafa Karima , Arimurti Kriswibowo  
Published: April 2024

The Supervisor of the East Java Province Manpower and Transmigration service has a role in ensuring occupational safety and health in his area. One of its roles is to facilitate services in the field of work safety, organize monitoring efforts for workers and the community, as well as medical laboratory services and environmental testing laboratories. The aim of this research is to determine the role of the East Java Province Manpower and Transmigration Service in carrying out in-depth occupational safety and health supervision of entrepreneurs/companies in the workplace environment. The research uses a qualitative research method with a descriptive approach. In this research, the data sources used to complete the writing are primary data sources and secondary data sources. So the data analysis in this research is based on 3 (three) Government roles in monitoring occupational safety and health namely Regulator, Dynamisator, Facilitator. The results of the research show that the role ofthe government of the East Java Manpower and Transmigration Service has not been carried out optimally because the government lacks direct attention to see the obstacles experienced by workers, both in terms of guidance and training, as well as facilities and infrastructure which are not distributed evenly
Implementasi Kebijakan Pemanfaatan Sistem Informasi Manajemen Daerah (SIMDA) dalam Pelaporan Keuangan Pemerintah Daerah Kabupaten Biak Numfor: Studi pada Badan Pengelola Keuangan dan Aset Daerah/BPKAD Kabupaten Biak Numfor
Authors: Saipan  , Hermanu Iriawan  , Dahlan  
Published: April 2024

The purpose of researchers using this type of descriptive research with a qualitative approach, so that researchers can collect information that is in accordance with reality and can answer all formulations that focus on Implementation and Supporting and Inhibiting Factors for Regional Management Information System (SIMDA) Utilization Policy in Financial Reporting of the Biak Numfor Regency Government. The primary data obtained comes from SIMDA Structural Officers and Operators at the Regional Equipment Organization (OPD) of the Regional Financial and Asset Management Agency (BPKAD) of Biak Numfor Regency and Secondary comes from financial statement data for the last 4 years. Data collection techniques are carried out by means of interviews, observations and documentation studies using data analysis, data presentation, data condensation, data presentation so as to draw a conclusion. The results showed that the implementation of the SIMDA Finance policy in BPKAD Biak Num Regency went well. However, there are still inhibiting factors such as limited competent officers/operators, limited budget/funds, and human error in inputting data.
Diversified AI Techniques for Augmenting Brain Tumor Diagnosis
Authors: Mandalik Dhruv , Drosis Odysseas 
Published: April 2024

Brain tumors affect thousands of people worldwide each year and can be extremely fatal if not diagnosed early. They are challenging to diagnose due to their complexity and the overlapping features of different tumor types. This research explores the application of AI technology to expedite the diagnosis of brain tumors. The proposed AI-based approaches involve using deep learning algorithms to analyze medical imaging data, specifically MRI scans. The goal was to build a robust and accurate model that could overcome distribution shifts. Some of the models used include classical machine learning models and a convolutional neural network. The results demonstrate that AI-based approaches can significantly improve the accuracy and expedite the process of brain tumor diagnosis.
The performances of the models were evaluated by using cross-validation and measuring accuracy, using a completely different dataset of MRI scans, to assess how the models performed when dealing with distribution shifts. The logistic regression model achieved a testing accuracy of 78.56%. The multi-layer perceptron (MLP) model achieved a testing accuracy of 74.89%. The multiplicative weight update method combined two models (MLP and logistic regression) with dynamically adjusted weights and achieved a testing accuracy of 83.83%. An approach where multiple aggregating models were used collaboratively achieved a testing accuracy of 86.46%. The best performing model, a convolutional neural network (CNN), yielded a testing accuracy of 98.20%.
The CNN: The Architecture Behind Artificial Intelligence Development
Authors: Lee Yechan 
Published: April 2024

The convolutional neural network (CNN) is a multilayer network architecture that is capable of training itself using an advanced algorithm to produce increasingly accurate results. The CNN is especially effective in spatial image recognition and is used in a multitude of fields, such as image recognition in the medical industry, and image segmentation in the security field. The ability of the CNN to show impressive results is seen in its multilayer composition.
This multilayer network consists of the convolutional layer, the pooling layer, the activation layer, and the fully connected layer. Here, the convolutional layer, the pooling layer, and the activation layer have their own parameters which will influence the flow of input data throughout the CNN until it produces an ultimate output in the connected layer. As such, this paper will delve into the individual characteristics of each layer, and introduce its relationship with not only its immediate surrounding layers but with the entirety of the CNN. Additionally, this paper will stress important modules and parameters that can help improve the layers.
Artificial Intelligence Models for Predicting Budget Expenditures
Authors: Capone Christian , Talgat Sayazhan , Hazir Oncu , Abdrasheva Kuralay , Kozhakhmetova Assel 
Published: April 2024

This study develops and tests a machine learning (ML)-based cost forecasting model against traditional earned value management (EVM) techniques. Utilizing Python for ML implementation, the research applies algorithms to a dataset of completed projects globally, evaluating their performance with metrics like mean absolute percentage error (MAPE) and percentage error (PE). The results confirmed that ML give more accurate results than the traditional methods. Thus, the initial rate showing that XGBoost is more accurate than the traditional method using Index-2 is 88%. In 23 of 25 randomly selected projects, this algorithm was more accurate. At the middle stage, the same frequency is 92.6%; later stage, the selected criterion further confirms that the ML algorithm is more accurate than the traditional method, accounting for 75% of 21 projects out of 28. By introducing ML into project management forecasting, managers could spend less time on the technical tasks in their projects. Despite its effectiveness, the study's scope is limited by a small sample size of 110 projects and the testing of only three algorithms. Future research is suggested to expand the dataset and explore additional algorithms, including neural networks and tree-based methods, to enhance forecasting precision.
SA-Based QoS Aware Workflow Scheduling of Collaborative Tasks in Grid Computing
Authors: Girgis Moheb R. , Mahmoud Tarek M. , Azzam Hagar M. 
Published: April 2024

Scheduling workflow tasks in grid computing is a complex process, especially if it is associated with satisfying the user's requirements to complete tasks within a specified time, with lowest possible cost. This paper presents a proposed Simulated Annealing (SA) based Grid Workflow Tasks Scheduling Approach (SA-GWTSA) that takes into account users’ QoS (quality of service) constraints in terms of cost and time. For a given set of inter-dependent workflow tasks, it generates an optimal schedule, which minimizes the execution time and cost, such that the optimized time is within the time constraints (deadline) imposed by the user. In SA-GWTSA, the workflow tasks, which are modeled as a DAG, are divided into task divisions, each of which consists of a set of sequential tasks. Then, the optimal sub-schedules of all task divisions are computed applying SA algorithm, and used to obtain the execution schedule of the entire workflow. In the proposed algorithm, the sub-schedule of each branch division is represented by a vector, in which each element holds the ID of the service provider chosen from a list of service providers capable of executing the corresponding task in the branch. The algorithm uses a fitness function that is formulated as a multi-objective function of time and cost, which gives users the ability to determine their requirements of time against cost, by changing the weighting coefficients in the objective function. The paper also exhibits the experimental results of assessing the performance of SA-GWTSA with workflows samples of different sizes, compared to different scheduling algorithms: Greedy-Time, Greedy-Cost, and Modified Greedy-Cost.