bluuebunny/crossref_metadata_2025 huggingface dataset:
Modernizing ETL Pipelines for Enterprise-Scale Data Integration
Authors: Sagar Gandha Venkata Narasimha
Published: February 2025

Modern enterprise data integration faces
unprecedented challenges with exponential data
growth and evolving real-time analytics
requirements. The transformation from traditional
Extract, Transform, Load (ETL) processes to
contemporary architectures represents a
fundamental shift in data management approaches.
This transformation encompasses the adoption of
event-driven architectures, distributed processing
frameworks, and cloud-native solutions.
Organizations are implementing advanced
optimization techniques for low-latency processing,
ensuring schema consistency, and scaling for highvolume data operations. The integration of artificial
intelligence and automation in ETL processes,
combined with emerging trends in data mesh
architectures and enhanced governance frameworks,
is reshaping the future of enterprise data integration.
As organizations continue to modernize their data
infrastructure, the focus has shifted toward
achieving real-time processing capabilities,
maintaining data quality across distributed systems,
and optimizing resource utilization through
intelligent automation. The emergence of edge
computing and sophisticated schema management
practices has further enhanced the ability to process
and analyze data at unprecedented scales. These
advancements enable organizations to handle
complex data integration challenges while
maintaining regulatory compliance and ensuring
data consistency across diverse sources and formats.
The convergence of these technologies and
methodologies marks a significant evolution in how
enterprises approach data integration, setting new
standards for performance, reliability, and
scalability in modern data architectures.
Machine Learning-Driven Healthcare Fraud Detection: A Comprehensive Framework for Pattern Recognition and Predictive Analytics
Authors: Guntumadugu Vijaya Kumar
Published: February 2025

This article presents a comprehensive framework for
detecting healthcare fraud, abuse, and waste using
advanced machine learning techniques. The article
introduces an integrated approach combining pattern
recognition, predictive modeling, unsupervised
learning, and explainable AI to enhance the
detection and prevention of fraudulent healthcare
claims. The methodology addresses the limitations
of traditional rule-based systems by implementing
deep autoencoders for anomaly detection and
developing interpretable models that provide
actionable insights for investigators. The results
demonstrate significant improvements in detection
accuracy and efficiency compared to conventional
methods, while maintaining transparency through
explainable AI features. The framework's
effectiveness is validated through extensive testing
across diverse healthcare datasets, showing robust
performance in identifying suspicious patterns and
predicting potential fraud cases. This article
contributes to the growing body of knowledge in
healthcare fraud detection by providing a scalable,
interpretable, and efficient solution that can be
adapted to various healthcare organizations while
addressing critical challenges in data privacy and
regulatory compliance.
Distributed Systems: Catalyzing Digital Transformation Across Industries
Authors: Andhavarapu Abhishek
Published: February 2025

This comprehensive article examines the
transformative role of distributed systems in driving
digital transformation across various industry
sectors. It explores how these systems democratize
data-driven decision-making through cloud-native
infrastructure and microservices architecture,
enabling organizations of all sizes to leverage
advanced analytics capabilities. The article
encompasses the scalability advantages offered by
distributed systems, highlighting how horizontal
scaling and global reach capabilities provide
organizations with unprecedented flexibility in
managing workloads and maintaining competitive
advantages. It also investigates the impact of opensource tools in making sophisticated analytics more
accessible and cost-effective. Furthermore, the
article examines the cross-sector implications of
distributed systems, focusing on transformations in
healthcare, financial services, and manufacturing
sectors. It concludes by analyzing future trends,
including the evolution of edge computing,
integration of artificial intelligence, and emerging
security considerations, providing insights into how
distributed systems will continue to shape enterprise
computing and digital transformation initiatives.
AI-Powered Content Delivery and Edge Caching: Revolutionizing Digital Content Distribution
Authors: Gosai Sunil Kumar
Published: February 2025

This article explores the transformative impact of
artificial intelligence on content delivery networks
and edge caching systems. As digital content
consumption grows exponentially, traditional
content delivery architectures face increasing
challenges in meeting user expectations for
seamless, instantaneous access. Integrating AI
technologies has revolutionized how content is
cached and delivered at network edges, enabling
more efficient resource utilization and improved
user experiences. Through comprehensive analysis
of implementation cases across various industries,
including streaming media, gaming, and ecommerce, this article examines how AI-powered
systems optimize content distribution through
predictive analytics and dynamic resource
allocation. It investigates technical implementation
considerations, infrastructure requirements, and
integration challenges while evaluating performance
metrics and business benefits. Furthermore, the
article explores emerging trends and future
developments in AI-powered content delivery,
highlighting the growing importance of edge
computing, advanced analytics, and sophisticated
personalization capabilities in shaping the future of
digital content distribution.
Predicting Cricket Outcomes: A Comparative Analysis of Machine Learning Models for Optimal Accuracy
Authors: Mayur Chavan Mayur Chavan , Aditya R. Vyawahare Aditya R. Vyawahare , Ansh R. Bhutada Ansh R. Bhutada , Parth P. Ostwal Parth P. Ostwal , Pranav K. Nimbalkar Pranav K. Nimbalkar
Published: February 2025

—The project will focus on the
development of a predictive model of cricket match
outcomes on the basis of high advanced machine
learning techniques and highly massive data
concerning player statistics and match history with
conditions prevailing on game day to build an
intelligent system capable of forecast more accurate
results than ever produced before. The model will
compare several machine learning algorithms,
including Decision Trees, Random Forest, Logistic
Regression, and Neural Networks, in terms of
which is likely to be most ef fective for prediction
purposes.Some key features involve dynamic
datasets, where live data from match situations and
performances are fed into the model to be in real
time, keeping it as accurate as possible. Another
unique feature is the ability to weigh various match
conditions, including pitch conditions, weather, and
team form, which it offers users for a better
understanding of how results can depend on a
number of factors. The fairness and reliability
aspects for the system will be of prime importance
to ensure no imbalance arises from any single
model influencing the results.It is aimed at
providing a new tool both for teams, analysts, and
cricket fans that would offer an opportunity to take
strategic decisions and enjoy the sport even more.
Let the game of cricket become more transparent,
data informed, and a little less behind the lines for a
larger audience with the help of machine learning.
Evaluating buffer zones’ efficiency for conservation and restoration of Gishwati forest reserve in Rwanda
Authors: Evariste Tuyishime , Mind'je Dr. Richard
Published: February 2025

The conservation and restoration of degraded
ecosystems, exemplified by Rwanda's Gishwati
Forest, are vital for preserving biodiversity,
maintaining ecological balance, and ensuring
sustainable resource utilization. This study aims to
evaluate the impact of buffer zone implementation
on the restoration and conservation of Gishwati
Forest Reserve, comparing its status before and
after buffer zone establishment. Employing a
mixed-methods approach, the research combined
Geographic Information System (GIS) analysis of
land use/land cover (LULC) changes with
questionnaires (360 respondents) and interviews
(40 respondents) of local community members,
capturing their targeted responses, aimed at
gathering data to answer the research questions. It
was found that before buffer zone implementation,
the Gishwati Forest suffered severe change due to
agricultural encroachment, deforestation,
Nonetheless, the GIS technique analysis revealed a
significant reduction in agricultural area, where
Forestland experienced a substantial gain,
increasing by 268.6 hectares over the 20-year
period, with Cropland experiencing a significant
decrease, hovering to the other side, with a total
loss of 422.02 hectares, indicating successful
restoration efforts. Moreover, survey results show a
marked improvement in community perceptions of
the forest post-implementation, with 94% of
respondents describing it as "very degraded" or
"degraded" before the intervention, and 74%
ascertain observing improvements afterward. A
buffer zone design that integrates concentric rings
reflecting increasing ecological protection,
stakeholder involvement in planning and robust
monitoring and evaluation frameworks, aiming to
enhance sustainability and ensure the long-term
protection of Gishwati Forest was proposed. The
study concludes that buffer zones are instrumental
in reversing forest degradation and fostering
ecological resilience in Gishwati Forest. To
enhance the sustainability of conservation efforts,
the study recommends adopting comprehensive
buffer zone designs that include continuous
community engagement, strict enforcement of
conservation regulations, and adaptive management
practices informed by regular monitoring and
evaluation.
Iterative Linearization via Collocation Method for Solving Non-Linear Differential Equations
Authors: Oderinu RAZAQ Adekola , Oludayoolugbodi JOSIAH , Yahaya AHMED Adeyi , Oyeyemi Adewoye TEMILOLUWA
Published: February 2025

This paper introduces an effective
numerical approach for addressing non-linear
differential equations by iterative linearization
utilizing the collocation technique. The suggested
method integrates the benefits of iterative
linearization with collocation to precisely
approximate solutions. Numerical experiments
indicate the method's efficiency and robustness in
addressing numerous non-linear problems,
exhibiting higher accuracy and convergence rates
compared to existing methods
Survey paper on AI receptionist in college
Authors: Sivan Dhakshu , Abel Binu Abel Binu , Babu Bevin Eldhose , babu Bovas , Kuriakose Eldhose
Published: February 2025

The AI receptionist in college
settings serves as a virtual assistant designed to
enhance administrative improve student
engagement.
By automating routine tasks such as answering
inquiries, scheduling appointments, and providing
information about campus services, AI
receptionists operate 24/7, ensuring support is
always available. This innovation not only
alleviates the workload on human staff but also
offers personalized interactions through natural
concerns and the potential reduction of engagement
must be addressed. Overall, the AI receptionist
represents a significant advancement in optimizing
college operations and enriching the student
experience.
Keywords-AI Receptionist, Virtual Assistant,
College Administration, Student Engagement,
Automation, Natural Language Processing,
Campus Services, 24/7 Support, Efficiency, User
Experience, Data Privacy, Personalized Interaction,
Chatbot Technology, Operational
Optimization, Human-AI Collaboration
Prevention of Milk Spoilage in Federal Polytechnic Offa Using Electrical Stimulation
Authors: Adeleke adigun Musibau , Teslim Nuhu mohammed
Published: February 2025

Electrical stimulation (ES) has served as a
therapeutic modality accelerating the healing of
wounds, particularly chronic wounds which have
impaired healing due to complications from
underlying pathology. This review explores how
ES can serve as preventive means against the
spoilage of liquid foods. Milk was used as the food
sample in this research work. The spoilage
microorganism was identified to be Bacillus cereus
conventionally. In-vivo experiments investigating
the effect of ES on the general mechanisms of
preventing spoilage of milk was demonstrated
using various voltages of 1.5, 3.0, 9.0 and 18.0.
Significant reduction was observed with 9.0 and
18.0 while increase in growth of the spoilage
bacteria was observed at 1.5 and 3.0 voltages. The
growth and population of the spoilage
microorganisms in the milk samples and Nutrient
agar culture after 96 hours was observed reduced.
Higher reduction in the microbial population in the
milk sample media was directly proportional to
increase in the voltage used for electrical
stimulation. In conclusion, ES therapy can
contribute to prevention of milk spoilage and
increase in the shelf-life of left-over milk for future
consumption. Prevention of microbial growth in the
milk, potentially reduce the food poisoning
associated with consumption of left-over milk.
Therefore, financial burden associated with liquid
food items spoilage management can be reduced by
the adoption of electrical stimulation as a
preventive measure.
Environmental Impact of Natural Gas Utilization in Nigeria
Authors: Mathew Oduka Ugbede , Odutola Toyin Olabisi , Boniface Oriji Aleruchi
Published: February 2025

This study evaluates the
environmental impact of natural gas utilization in
Nigeria from 2000 to 2022, employing the
Autoregressive Distributed Lag (ARDL) model.
The analysis investigates the relationship between
total carbon dioxide emissions (TCO2E), domestic
natural gas supply (NG_SD), and economic growth
proxied by Gross Domestic Product (GDP). The
results revealed significant short-run effects of both
NG_SD and GDP on TCO2E. Specifically, a 1-unit
increase in NG_SD raises TCO2E by 0.148 units,
while a 1-unit increase in GDP results in a 0.0773
unit rise in emissions. Lagged effects show that
past increases in NG_SD and GDP reduce
emissions, suggesting the substitution of cleaner
energy sources and technological advancements.
However, the bounds test indicates no cointegration between TCO2E, NG_SD, and GDP,
implying the absence of a stable long-term
relationship. Diagnostic tests validate the model's
reliability, with no evidence of autocorrelation,
heteroskedasticity, or instability. The R-squared
(86.65%) demonstrates a strong explanatory power,
while the Cumulative Sum (CUSUM) and
Cumulative Sum of Square (CUSUMSQ) tests
confirmed the parameter stability. The findings
highlight that Nigeria’s reliance on natural gas and
economic growth strategies increases emissions in
the short run but lacks sustained long-term impact.
This underscores the need for short-term policy
interventions, such as promoting renewable energy,
carbon pricing, and green technologies.
Transitioning from natural gas to cleaner energy
sources is essential to achieve emissions reduction.
Regular policy reviews are recommended to adapt
to evolving dynamics in emissions and energy
consumption.
Critical Analysis of Petroleum Subsidies Implications on Nigeria's Economic Performance
Authors: Wadike Seth Uba , Ihua-Maduenyi Isaac Eze , Uzoigwe Ndidi Emeka
Published: February 2025

This work critically analyzes the influence of
petroleum subsidies on Nigeria's economic
performance between 2014 and 2023. The impact
of fuel subsidies on key economic indicators,
including government expenditure, inflation, gross
domestic product (GDP), and consumer demand
were evaluated using secondary data from the
National Bureau of Statistics (NBS), Central Bank
of Nigeria (CBN), and the Nigerian National
Petroleum Corporation (NNPC). Quantitative
methods, including price elasticity of demand,
descriptive statistics, and regression analysis were
utilized.The results indicate a complex relationship
between subsidies and the Nigerian economy, with
subsidies contributing to fiscal strain, inflation, and
inefficiencies in fuel consumption, while having a
minimal positive impact on economic growth. A
negative correlation was found between petroleum
subsidies and GDP, indicating that the resources
allocated to subsidies would have been better
utilized in other sectors to promote economic
development. Furthermore, the analysis highlights
that subsidy removal often leads to significant
shifts in fuel prices and demand, creating both
economic and social challenges. The study
concludes by providing policy recommendations to
mitigate the negative socio-economic effects of
subsidy removal.
Maximizing the Impact of On-the-Job Training (OJT) for BSBA Students: Strengthening University -Business Industry Partnership
Authors: B. ABAT ROWENA
Published: February 2025

-This study is to enhance the
effectiveness of on-the-job training (OJT) for
Bachelor of Science in Business Administration
(BSBA) students through the cultivation of robust
university-business industry partnerships. As OJT
increasingly becomes a vital component of business
education, it is imperative to optimize its impact on
student learning and career readiness. Through a
comprehensive review of literature and analysis of
current practices, this study explores key factors
influencing the success of OJT programs and
identifies areas for improvement.
The findings underscore the critical role of
university-business partnerships in tailoring OJT
experiences to meet industry needs, enhancing
student preparation and engagement, and fostering
continuous improvement. Strategies such as
stakeholder collaboration, customized training
plans, mentorship programs, and integration of
theory and practice emerge as essential elements in
maximizing the benefits of OJT for BSBA students.
Additionally, the study highlights the importance of
evaluation to measure program effectiveness and
inform ongoing refinement.
By implementing the recommendations outlined in
this study, academic institutions can strengthen their
partnerships with industry stakeholders, provide
students with valuable hands-on experience, and
better prepare them for the demands of the modern
workforce. Ultimately, the synergy between
universities and businesses in the realm of OJT has
the potential to drive innovation, enhance
employability, and foster sustainable economic
growth.
Analysis presidential Threshold Perspective of Law Number 7 of 2017
Authors: Eko Prasetyo Riyadi , Dr. Sodikin Dr. Sodikin
Published: February 2025

This study aims to analyze how the Presidential
Threshold is from the perspective of Law Number
7 of 2017 in Indonesia. One of the objectives of the
general election is to implement people's
sovereignty and implement citizens' basic rights.
With the enactment of Law Number 7 of 2017
concerning General Elections, the presidential
threshold has changed to 20% of the number of
DPR seats or 25% of valid votes nationally in the
previous DPR member elections. The purpose of
implementing a fixed threshold policy is to
strengthen the presidential system, because the
threshold will force political parties to carry out
political consolidation so that a coalition of
political parties supports the president emerges.
The research method used is normative legal
research, which involves collecting legal materials
from various sources such as journals, books, and
websites to obtain answers to the main problems
that have been formulated. The results of this study
indicate that the Presidential Threshold in
Indonesia can also be used to strengthen the
presidential system with multiple parties. Without
absolute support, the President is weak in
"determining" efforts to drive the wheels of
government and daily development
Embedded System Design and Implementation for a Heavy-lift Agricultural UAV
Authors: Ikechukwu Frank Nwaokolo
Published: February 2025

The increasing demand for automation in
agriculture has driven the development of
unmanned aerial vehicles (UAVs) capable of
performing complex tasks such as precision
spraying, seed dispersal, and crop monitoring.
However, the design of embedded systems for
heavy-lift agricultural UAVs presents significant
challenges, including power efficiency, flight
stability, payload management, and real-time data
processing. This paper proposes a specialized
embedded system tailored for a heavy-lift
agricultural UAV, integrating advanced
microcontrollers, sensor fusion techniques, and
adaptive flight control algorithms to enhance
operational efficiency. The system incorporates
optimized power management, real-time
navigation, and wireless communication
frameworks to ensure reliable performance in
diverse agricultural environments. Experimental
testing and simulations validate the embedded
system’s effectiveness in maintaining flight
stability, optimizing energy consumption, and
handling heavy payloads. The results demonstrate
significant improvements in UAV endurance,
control accuracy, and autonomous operation,
making the proposed system a promising solution
for enhancing large-scale agricultural productivity.
Non-Financial Disclosures Influence on Financial Performance of Manufacturing Companies in Nigeria
Authors: Anthony Onyeka Anyadufu , Georgeb Ezeala , Onyinye Eneh , Udeh Professor Francis
Published: February 2025

Non-Financial Disclosure influence on financial
performance of oil and gas firms in Nigeria was
empirically investigated. Ex Post Facto design was
adopted and data for the study were obtained from
the published annual financial reports and accounts
of the entire oil and gas firms quoted on Nigerian
Exchange Group (NGX). Two hypotheses were
formulated in order to direct the flow of this study
while the data was analyzed using OLS regression
model using STATA V.15. The results of the study
indicate that environmental accounting reporting
and corporate social responsibility have significant
and positive influence on financial performance of
listed manufacturing firms in Nigeria at 1% and 5%
significant level respectively. The target population
comprised companies in the Consumer Sector
listed on the Nigerian Exchange Group.Thus, the
study concludes that environmental accounting
reporting & social sustainability disclosure have
positive influence on firms’ performance. In lieu of
this, the study suggests that environmental
reporting in corporate financial reporting should be
made mandatory by the government and fine to be
imposed for non-compliance. Also, tax credit
should be given to organizations that comply with
its environmental laws of the land which
encourages environmental reporting.
AI-Driven Retail Optimization: A Technical Analysis of Modern Inventory Management
Authors: Bharti Mohit
Published: February 2025

The revolutionary effects of
artificial intelligence on retail inventory
management and optimization techniques are
examined in this technical article. From
omnichannel optimization and dynamic inventory
distribution to demand forecasting and pattern
recognition, the article examines how AI
technologies are transforming several facets of
retail operations. In addition to addressing technical
issues and system design specifications, it also
explores the application of machine learning
algorithms for historical data analysis, real-time
data integration, and SKU performance mapping.
The article shows how AI-driven technologies are
helping retailers achieve notable gains in
operational efficiency, customer happiness, and
financial performance throughout their entire
supply chain network by analyzing many case
studies and industry implementations.
Modernizing ERP Data Systems for Data Science Integration: A Technical Guide
Authors: Babu Sankuri Prakash
Published: February 2025

This technical article presents a
comprehensive framework for modernizing
Enterprise Resource Planning (ERP) systems to
integrate advanced data science capabilities. The
article explores the evolution from traditional ERP
implementations to AI-enabled systems, covering
critical aspects including assessment
methodologies, data integration strategies, analytics
platform setup, machine learning infrastructure,
and security implementations. Through detailed
analysis of enterprise implementations, the article
demonstrates how organizations can successfully
transform their ERP systems while maintaining
operational stability and enhancing business value.
The article provides practical approaches for
addressing challenges in data quality, system
scalability, and performance optimization while
emphasizing the importance of continuous
improvement and future-proofing strategies.
Modeling and Performance Assessment of AN SGT5- 2000E Gas Turbine in AZURA Power Plant
Authors: Omokiere Esene John , Carlos Solomon Dr. Wunuken , Saad Dr. Aisha
Published: February 2025

This study evaluates the performance of the SGT5-
2000E gas turbine at the Azura Power Plant, Benin
City, Nigeria, under a simple cycle configuration
using GasTurb 14 software. Simulations were
conducted to examine the effects of varying ambient
temperature, relative humidity, and turbine inlet
temperature (TIT) on key performance parameters.
The results revealed that increased TIT significantly
improved both power output and thermal efficiency.
For instance, a TIT of 1109.7 °C resulted in a power
output of 159.5 MW, a thermal efficiency of 35.14%,
and a heat rate of 10,228 kJ/kWh. Ambient
temperature variations demonstrated an inverse
relationship with power output and thermal
efficiency, with lower temperatures yielding higher
performance. Similarly, increased relative humidity
positively influenced power output and reduced
specific fuel consumption. These findings highlight
the critical influence of environmental conditions and
TIT optimization on the operational efficiency of gas
turbines in simple cycle mode, providing valuable
insights for enhancing performance in similar energy
setups.
The Ideal Concept of Special Courts in the Settlement of General Election Disputes (Election)
Authors: DJ. Datau M. Fajrul Muharram , Sodikin Sodikin
Published: February 2025

This study aims to analyze the need for the
establishment of a special election judicial
institution that has the authority to resolve various
classifications of general election problems
mentioned in the general election law, namely;
election administration violations, election process
disputes, election result disputes, and election
crimes. Given that each classification is handled by
a different or separate institution, this causes the
potential for overlapping authority, which can affect
the quality of the final decision. Therefore, the
formulation of this special election judicial
institution is needed to ensure integrity in general
elections so that it is maintained and provides
certainty and justice in election law for the public.
The research method used is normative legal
research, which involves collecting legal materials
from various sources such as journals, books, and
websites to obtain answers to the main problems
that have been formulated. The results of this study
indicate the need for a special judicial institution,
which includes the legal construction of the
appointment of judges, as well as guidelines for
institutional design and procedural law. With this
formulation, the handling of election legal cases can
be resolved quickly and simply so as to realize
election integrity.
Blockchain–based framework for Organ Donation System
Authors: Rao Ajay Kumar Mr. Chitoor Venkat , Venkatagirish Parnam , Patibandla SaiSrinivas , Rathod Kapil
Published: February 2025

Organ donation is a life-saving process that faces
multiple challenges, including lack of transparency,
inefficient donor-recipient matching, and security
concerns. Traditional organ donation systems
struggle with delays, fraud, and inadequate recordkeeping. To address these issues, blockchain
technology offers a decentralized, immutable, and
secure framework form an aging organ donation.
This survey paper explores existing organ donation
systems, identifies their limitations, and presents a
blockchain-based solution that integrates real- time
smart contracts, secure transactions, and automated
matching algorithms. A review of relevant literature
highlights how blockchain improves security, trust,
and efficiency in organ donation. Future research
directions, such as AI- driven matching and multichain support, are also discussed.
Design of a Solar Powered Cassava Shredding Machine To Enhance Food Processing In Rural Areas
Authors: Tamuno K Jinyemiema , Mitsheal Amafabia Daerefa-a
Published: February 2025

Manual processing of cassava tubers into its
derivatives like tapioca, starch is tedious and time
consuming, this drudgery has led to this study. The
purpose of this study is to enhance agricultural
performance via the design and fabrication of an
improved cassava shredding machine that is capable
of producing different sizes of cassava slices for
further processing. The essence is to reduce
processing time through increased surface area. This
design produces different sizes for tapioca, ijapu,
abacha, lafu and for other uses. The sizes range from
8-20mm in diameter. The machine consists
essentially of a hopper where peeled cassava roots are
put, beneath the hopper is the shredding plate with
varied cutting blades coupled to a horizontal shaft
which when in operation undergoes reciprocating
motion. The horizontal shaft derives its motion
through a slider crank mechanism coupled to an
electric motor via a belt drive with a pulley for
primary speed reduction and regulation. A rugged
framework is provided for mounting of the machine
and electric motor. The capacity of the machine is
150.2kg/hr. Maximum shredding efficiency of 96%
was obtained with a shred aperture ranging from 5-
12mm at a shredding speed of 1200rpm.
PENGARUH KONSEP DIRI DAN DUKUNGAN SOSIAL TERHADAP KEMATANGAN EMOSI PADA MAHASISWA YANG DIASUH OLEH IBU TUNGGAL
Authors: Zainuddin Nana Hardiana , Marissa Aski
Published: February 2025

Mahasiswa yang diasuh oleh ibu tunggal sering menghadapi tantangan emosional lebih besar akibat dinamika keluarga yang berbeda, sehingga penting untuk memahami bagaimana konsep diri dan dukungan sosial dapat memengaruhi kematangan emosi mereka. Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh konsep diri dan dukungan sosial dengan kematangan emosi pada mahasiswa yang diasuh oleh ibu tunggal. Metode yang diguanakan adalah kuantitaf dimana jumlah sample dalam penelitian ini adalah 81 mahasiswa. Teknik analisis penelitian ini menggunakan multiple regression. Pengukuran data menggunakan skala kontrol diri, dukungan sosial dan kematangan emosi. Berdasarkan hasil analisis diketahui bahwa variabel yakni kontrol diri dan dukungan sosial memberikan pengaruh sebesar 34% terhadap kematangan emosi pada mahasiswa yang diasuh oleh ibu Tunggal, dimana kontribusi dari variable konsep diri sebesar sebesar 66% dan dukungan sosial adalah 26%, serta sisanya merupakan variable lain nya diluar variable utama.
POTRET EFIKASI GURU DALAM PENGGUNAAN TEKNOLOGI: STUDI DESKRIPTIF DI ERA PENDIDIKAN DIGITAL
Authors: Hapsari Indria , Cahyanti Indah
Published: February 2025

Transformasi digital dalam pendidikan telah mendorong pentingnya integrasi teknologi sebagai katalisator inovasi pembelajaran. Penelitian ini bertujuan untuk menggambarkan efikasi guru dalam menggunakan teknologi di era pendidikan digital. Responden penelitian ini terdiri atas 434 guru yang tersebar di beberapa wilayah di Indonesia. Studi ini menggunakan pendekatan kuantitatif deskriptif dengan menggunakan skala Computer Technology Integration (CTI) yang disusun oleh Wang, Ertmer, dan Newby (2014) berdasarkan dua dimensi yaitu goal setting dan vicarious learning. Reliabilitas alat ukur dalam penelitian ini memiliki skor Alpha Cronbach sebesar 0,965. Hasil analisis deskriptif menunjukkan nilai mean empiric efikasi guru sebesar 67,69 dan berada dalam kategori tinggi. Hasil temuan ini mengindikasikan adanya keyakinan yang cukup kuat pada kemampuan guru dalam menggunakan teknologi secara efektif dalam proses pembelajaran sehingga diramalkan memiliki kemampuan untuk mengintegrasikan teknologi dalam berbagai aspek pengajaran.
KONTRIBUSI SELF-EFFICACY TERHADAP KECURANGAN AKADEMIK MAHASISWA PENERIMA BEASISWA
Authors: Putri Aqshadina Nabila , Damariyanti Meta
Published: February 2025

Mahasiswa penerima beasiswa memiliki tanggung jawab untuk memiliki prestasi akademik yang baik. Dengan demikian mahasiswa penerima beasiswa berusaha belajar dengan giat agar nilai prestasi akademiknya atau nilai IPKnya tidak mengalami penurunan. Tiap mahasiswa penerima beasiswa memiliki caranya sendiri untuk mendapatkan nilai yang memuaskan, salah satu tindakan atau upaya yang dilakukan adalah melakukan kecurangan akademik untuk mencapai nilai yang memuaskan. Tindakan tersebut dilakukan demi melindungi beasiswanya. Tujuan penelitian ini adalah menguji seberapa besar kontribusi Self-efficacy terhadap Kecurangan Akademik pada Mahaiswa Penerima Beasiswa. Responden penelitian ini 199 responden dengan mengggunakan skala Self-Efficacy dan skala kecurangan akademik. Teknik pengambilan sampel yang digunakan adalah teknik snowball sampling. Analisis data menggunakan teknik regresi sederhana. Hasil membuktikan bahwa hipotesis penelitian ini diterima yaitu terdapat kontribusi Self-efficacy terhadap kecurangan akademik pada mahasiswa penerima beasiswa.. Hasil uji regresi diperoleh nilai R square sebesar 0,006, artinya sebanyak 6% self-efficacy memengaruhi kecurangan akademik pada mahasiwa penerima beasiswa. Self-efficacy dan kecurangan akademik pada penelitian ini berada pada kategori tinggi dan sedang.
RASA PERCAYA DIRI PADA INDIVIDU YANG MENGALAMI OVERWEIGHT (STUDI DESKRIPTIF)
Authors: Suci Annissa Mahara , Puspitawati Ira , Fuad Afmi
Published: February 2025

Penelitian ini bertujuan untuk memberikan gambaran secara deskriptif rasa percaya diri pada individu yang mengalami overweight. Peneliti ini dilakukan karena ada individu yang tidak memiliki rasa percaya diri yang baik, sehingga kehilangan kepercayaan diri kemudian mengalami banyak hal secara psikologis dan psikis. Overweight mengakibatkan perempuan mengalami tekanan salah satunya terkait kecantikan dan dilingkungan sosial, sehingga individu mendapatkan julukan yang tidak disukai. Perilaku ini dapat mengakibatkan perasaan rendah diri. Teknik pengambilan sampel pada penelitian ini yaitu menggunakan purposive sampling, adapun kriteria sampel adalah individu yang mengalami overweight lebih dari 1 tahun berdasarkan perhitungan standart (25.0 - 29.9 kg/m2), Uji reliabilitas menggunakan alpha stratified sebesar 0.984 yang terdiri dari 50 aitem baik. Hasil uji deskriptif menunjukan rasa percaya diri pada inividu yang mengalami overweight tergolong sedang, dengan nilai mean empirik sebesar 140,4.
AN ANALYSIS OF THE USE OF LANGUAGE VARIATION IN THE DIALOQUE OF DESIGNATED SURVIVOR FILM
Authors: Hastuti Erni , Freely Janice Debora , Oswari Teddy
Published: February 2025

Language variation arises from social interactions and reflects a speaker's ability to adapt their communication style to different contexts and purposes. In Sociolinguistics, the choice of a language variety is influenced by the speaker's need for an appropriate communication situation. This research examines the use of language variation in the film Designated Survivor. The analysis was based on the five language variations proposed in Martin Joos’s theory. This study employs a descriptive-qualitative method. This analysis identified 129 language variation: 2 frozen styles, 40 formal styles, 48 consultative styles, 36 casual styles, and 3 intimate styles. The consultative style found as the dominant style in this research due to many existing meetings and negotiations in which both the speaker and the addressee convey their argument, opinion, and point of view about the topic being discussed.
Antioxidant, Antibacterial, Cytotoxic, and Anticancer Potential of Belulang Grass (Eleusine indica)
Authors: Kamu Vanda Selvana , Runtuwene Max Revolta John , Merentek Jetlee , Koleangan Harry Steven Julius , Kumaunang Maureen
Published: February 2025

A study was conducted to determine the antioxidant, antibacterial, cytotoxic, and anticancer activities of the belulang grass plant (Eleusine indica). Antioxidant activity was assessed using the 2,2-Diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging activity method. Antibacterial activity was determined using the disk diffusion method, cytotoxicity was determined using the Brine Shrimp Lethality Test (BSLT), and anticancer activity was evaluated using the MTS assay. The results showed that the antioxidant activity of the extracts and solvent fractions of Eleusine indica had the highest average value for the n-hexane fraction (FNH) at 35.0%, ethyl acetate fraction (FEA) at 56.4%, aqueous fraction (FA) at 30.3%, and methanol extract (EM) at 32.5%. Among these, the highest value was obtained in FEA, while the lowest was obtained in FA. Based on the cytotoxicity test with the BSLT method, the ethyl acetate fraction had an LC50 value of 7.384 ppm, categorizing it as highly toxic. However, in cytotoxicity testing with HeLa cells, the IC50 value for the ethyl acetate fraction was 223.70 ppm, indicating that the ethyl acetate fraction was less active against HeLa cervical cancer cells.
Keywords: Eleusine indica; belulang grass; cytotoxic; HeLa cells
EFEKTIVITAS PROGRAM USAHA EKONOMI PRODUKTIF KELOMPOK USAHA BERSAMA MELALUI KELOMPOK USAHA BERSAMA LESTARI BUDAYA SEBAGAI UPAYA PEMBERDAYAAN MASYARAKAT
Authors: Rizki Yuliyanto  , Hanantyo Sri Nugroho
Published: February 2025

This study uses the theory of program effectiveness with indicators namely program socialization, program target accuracy, program monitoring, and goal achievement. The method used in this research is descriptive qualitative. The results of this study indicate the effectiveness of the joint business group productive business program through Kube Lestari Budaya as an effort to empower the community, in general, has been running well and effectively. This is determined by the indicator of the accuracy of program targets. The targets of the program are met, namely the poor who are registered in DTKS. To ensure that the proposed recipients are by the provisions, the Yogyakarta Special Region Social Service rechecks the data in the Integrated Social Welfare Data System using the NIK (Population Identification Number) that has been included in the proposal. The difference between the pre- and post-programs implemented on both kube provides empowerment that contributes to building motivation to increase production according to the business being run.
PENGARUH SUPERVISI PENDIDIKAN KEPALA SEKOLAH TERHADAP KINERJA GURU SEKOLAH DASAR DI MAWASANGKA TENGAH
Authors: Sulaeman  , Rahmat Hidayat  , Syamsul Alam
Published: February 2025

This study aims to analyze the effect of educational supervision conducted by school principals on the performance of elementary school teachers in Mawasangka Tengah District. The research used a quantitative method with a deductive approach and a positivist paradigm. The study involved 68 elementary school teachers from nine schools in Mawasangka Tengah District, selected through simple random sampling. Data were collected using a Likert-scale questionnaire that had undergone validity and reliability testing. Data analysis was performed using linear regression with the assistance of IBM SPSS Statistics 26. The findings indicated that educational supervision conducted by school principals has a positive and significant effect on the performance of elementary school teachers (p = 0.000), with an R = 0.692 indicating a strong relationship and R Square = 0.479 showing that 47.9% of the variation in teacher performance is influenced by educational supervision. These findings align with theoretical literature and previous studies that highlight the importance of professional support and feedback in educational supervision. However, challenges such as geographical accessibility and limited facilities also need to be addressed. Based on these results, it can be concluded that educational supervision by school principals plays a significant role in improving the performance of elementary school teachers in Mawasangka Tengah District.
Pengaruh Promosi dan Kualitas Produk Terhadap Keputusan Pembelian Smartphone Vivo dengan Brand Ambassador sebagai Variabel Moderasi
Authors: Ganendra Johan Jaya , Yulia Iis Anisa , Rumna
Published: February 2025

Penelitian ini bertujuan untuk menganalisis pengaruh Promosi dan Kualitas Produk Terhadap Keputusan Pembelian Smartphone Vivo dengan Brand Ambassador Sebagai Variabel Moderasi. Sampel yang digunakan dalam penelitian ini sebanyak 135 responden. Data dikumpulkan menggunakan metode purposive sampling dan pengujian hipotesis menggunakan Moderated Regression Analysis (MRA). Hasil penelitian ini menunjukkan bahwa Promosi berpengaruh signifikan terhadap Keputusan Pembelian dan Kualitas Produk berpengaruh signifikan terhadap Keputusan Pembelian, Brand Ambassador dapat memoderasi pengaruh Promosi dan Kualitas Produk terhadap Keputusan Pembelian.
The Effect of Product Diversity and Price on Purchasing Decisions Mediated by Promotions: A Study on Shopee Application Users (Students of the Faculty of Economics and Business, University of Bandar Lampung)
Authors: Belinda Sherliana , Barusman Andala Rama Putra
Published: February 2025

The aim of this study was to investigate the effects of product diversity and price on purchasing decisions, mediated by promotions, among Shopee application users. This study is quantitive research and utilizes primary data obtained directly from respondents through collecting questionnaire data via Google From. The population in this study consisted of students from the Faculty of Economics and Business, University of Bandar Lampung, totaling 936 individuals. Sampling was carried out using random sampling techniques and using the Slovin provisions, the sample obtained was 280 people. Data analysis was performed using PLS-SEM in the SmartPLS 4 application. The study's results show that product diversity, price, and promotion collectively have a significant impact on purchasing decisions, although product diversity itself does not affect purchasing decisions. Additionally, the study revealed that product diversity and price jointly influence promotion significantly, with the promotion variable mediating the impact of product diversity and price on purchasing decisions.
Pengaruh Kompetensi dan Motivasi Kerja terhadap Produktivitas Kerja
Authors: M. Fachmi  , Rosalia Nirma , Nainggolan Gilbert , Suhara Ade , Hartono Drajat
Published: February 2025

The purpose of this study was to analyze the factors that influence the decision to purchase VIVA products. Samples were taken using purposive sampling technique. Analysis tools with multiple linear regression, hypothesis testing (t, F and coefficient of determination) and model accuracy testing. The results showed that there was a positive and significant influence both partially and simultaneously between e-WOM, Beauty Vlogger, Celebrity Endorser on the Decision to Purchase VIVA Products. The determination coefficient value of 0.716 means that e-WOM, Beauty Vlogger, Celebrity Endorser can influence the purchase decision of VIVA products by 71.6% and the remaining 28.4% is influenced by other variables.
Agency Cost Terhadap Kebijakan Dividen Perusahaan Manufaktur
Authors: Mujahidah Sorayya Qonita , Sudarsono Rachmat
Published: February 2025

This research examines the impact of Agency Cost on dividend policy in manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the 2018–2022 period. The study investigates variables such as insider ownership, family ownership, institutional ownership, free cash flow (FCF), collateralizable assets, growth, and control variables (Sales and leverage) on the Dividend Payout Ratio (DPR). The findings reveal that most variables significantly influence DPR, except leverage. The results indicate that ownership structures and financial characteristics play critical roles in shaping dividend policies, reflecting efforts to align managerial and shareholder interests. These findings contribute to a better understanding of agency theory and its implications in the Indonesian manufacturing sector during the dynamic post-pandemic recovery period.
Analisis Faktor yang Mempengaruhi Keputusan Berbelanja Online
Authors: Chandra Dharnita , Rini Puspa , Sattar  , Suri Dharlinda , Nilowardono Sengguruh
Published: February 2025

The study aims to determine the influence of promotion and purchase interest on online shopping decisions for Cardinal Product Consumers. The sample in this study was 100 people, all of whom were taken from the residents of Tegal City. Data collection through questionnaires and data analysis using SPSS 25. Data analysis includes tests: Validity, Normality, Classical Assumptions, Multiple Linear Regression Analysis and Hypothesis. The results of the study indicate that promotion and purchase interest have a positive and significant effect on online shopping decisions for Cardinal Product Consumers. Based on the determination coefficient value (R2), it was obtained at 79 %, meaning that the online shopping decision variable for Cardinal Product consumers is influenced by promotion and purchase interest.
Niniak Mamak's Permission in Minangkabau Community Marriage Perspective of 'Urf (Case Study in Kenagarian Panampuang, West Sumatra)
Authors: Siregar Ihram Ahmed , Amar Riski , Yuni Safira
Published: February 2025

The permission of niniak mamak as a condition of marriage in Minangkabau society is one of the customary rules that must be carried out before a marriage takes place, even though it is not regulated by Islamic law or state law. Departing from this, this research aims to explore the reasons for this customary rule and analyze its relevance to Islamic law. This research is qualitative by conducting a field study. Data collection uses interview, observation and documentary techniques and uses 'urf as an analytical. This article finds, first, the rule of niniak mamak permission as a condition of marriage is a customary rule that has been carried out for generations, besides that, this rule is also a place for silahturahmi the mamak of both parties and this rule aims to protect the children of the kemenakan and avoid unwanted things in the future. Secondly, from the perspective of 'urf, the permission of the niniak mamak in the marriage of the Minangkabau people is included in the 'urf shahih because this rule is to maintain the benefit of the children and does not violate the Shari'at.
Integration of Tumbaga Holing as a Legal Framework: Realizing Justice and Harmony in The Mandailing Traditional Society
Authors: Lubis Ikhsan , Siregar Taufik , Lubis Duma Indah Sari , Lubis Andi Hakim
Published: February 2025

This study explores the integration of local values, particularly the Tumbaga Holing customary law, into Indonesia's national legal framework. Tumbaga Holing, as the customary legal system of the Mandailing community, plays a crucial role in regulating social life and maintaining communal harmony. However, the process of integrating it into positive law faces various challenges, ranging from differences in legal paradigms to the marginalization of communal rights (ulayat). This research adopts a normative juridical approach, analyzing specific articles within the Basic Agrarian Law (UUPA) and regulations related to indigenous communities. The results show that Tumbaga Holing has the potential to contribute to the national legal system, particularly in the areas of natural resource management and dispute resolution. However, challenges such as lack of formal recognition, legal bureaucracy, and political-economic power imbalances hinder this integration. Proposed solutions include strengthening indigenous institutions, promoting customary law awareness, and revising regulations to be more inclusive of indigenous communities. These efforts are expected to ensure that local values ??are fairly accommodated within the national legal framework.