bluuebunny/crossref_metadata_2025 huggingface dataset:
INOVASI DALAM MANAJEMEN STRATEGI: "MEMBANGUN KEUNGGULAN KOMPETITIF DI ERA DIGITAL"
Authors: Mohamad Afrizal Miradji  , Walbertus Agung Setio Vercelly  , Rizky Muhammad Faiz  , Marita Kholifatul Aisyah  , Amelia Yuherda
Published: October 2024

In a rapidly changing digital era, companies must prioritize innovation to build and maintain a competitive advantage in an increasingly tight marketplace. This essay explores the importance of innovation in managing corporate strategy in the digital era. Innovation includes more than just the development of new products or services; innovation also includes transforming a company's operational processes, improving consumer interactions, and generating lasting value. This abstract explains the importance of innovation in overcoming the difficulties and prospects of the digital era, the ways in which innovation can increase a company's competitiveness, and the techniques that organizations can use to increase their innovation potential. We also feature examples of leading organizations that have effectively implemented pioneering techniques to build competitive advantage in the digital era, such as Apple, Amazon, Airbnb, and Gojek.By gaining a deep understanding of the importance of innovation in strategic management, readers will be able to formulate efficient innovation plans to increase their company's competitiveness and become winners in competition in an increasingly complex global market. This article offers significant insights for business leaders and professionals who want to gain a deeper understanding of the importance of innovation in the digital era
Keywords: Innovation, strategic management, competitive advantage and digital era.
PENINGKATAN MUTU SUMBER DAYA MANUSIA MELALUI PROGRAM GURU PENGGERAK TERHADAP PENGALOKASIAN DANA BANTUAN OPERASIONAL SATUAN PENDIDIKAN (BOSP) DI SMP MUHAMMADIYAH 4 SURABAYA
Authors: Siti Istikhoroh  , Patria Winahyu Binantoro  , Rico Arradea Putra  , Laili Rahmi
Published: October 2024

Peningkatan mutu sumber daya manusia (SDM) merupakan aspek kunci dalam meningkatkan kualitas pendidikan di lembaga pendidikan. Salah satu pendekatan yang digunakan untuk mencapai hal ini adalah melalui program Guru Penggerak, yang bertujuan untuk meningkatkan kompetensi dan kualitas para pendidik. Penelitian ini bertujuan untuk mengeksplorasi dampak program Guru Penggerak terhadap peningkatan mutu SDM di SMP Muhammadiyah 4 Surabaya, dengan fokus pada pengalokasian dana Bantuan Operasional Satuan Pendidikan (BOSP). Metode penelitian yang digunakan adalah analisis deskriptif kualitatif, melibatkan wawancara dengan para guru dan staf sekolah, serta analisis dokumentasi terkait penggunaan dana BOSP. Hasil penelitian menunjukkan bahwa program Guru Penggerak telah memberikan kontribusi positif terhadap peningkatan kompetensi guru, pembelajaran yang lebih efektif, dan prestasi siswa. Dana BOSP yang dialokasikan dengan tepat digunakan untuk pelatihan, pembinaan, dan pengembangan profesional guru, serta penyediaan sumber daya pendukung pembelajaran. Hasil dari penelitian ini telah membawa manfaat yang signifikan dalam meningkatkan mutu SDM di SMP Muhammadiyah 4 Surabaya. Rekomendasi untuk penelitian selanjutnya adalah melanjutkan pemantauan dan evaluasi terhadap efektivitas program ini, serta mengeksplorasi strategi yang lebih inovatif untuk meningkatkan kualitas pendidikan di masa mendatang.
Analisis Perubahan Kepemimpinan Perusahaan Jasa Konsultan Teknik Konstruksi di Era Revolusi Industri 4.0 (Studi Kasus di PT. Bina Karya (Persero) Cabang Surabaya)
Authors: Ragil Lutfiana Hadi  , Evita Purnaningrum
Published: October 2024

Kepemimpinan transformasional dan kepemimpinan digital dibutuhkan untuk kepemimpinan 4.0 yangidentik dengan teknologi dan inovasi-inovasi. Tujuan dilakukannya penelitian ini adalah untuk mengetahuipengaruh kepemimpinan transformasional dan kepemimpinan digital terhadap kepemimpinan 4.0 di PT.Bina Karya (Persero) Cabang Surabaya. Seluruh karyawan PT. Bina Karya (Persero) Cabang Surabayasebanyak 45 karyawan menjadi populasi dan sampel penelitian ini. Sumber data yang digunakan adalahdata primer dengan kuesioner sebagai alat pengumpulan datanya. Teknik analisis data menggunakanmetode SEM-PLS dengan software R package PLS-PM. Hasil penelitian ini menunjukkan bahwakepemimpinan transformasional memiliki pengaruh signifikan terhadap kepemimpinan digital dengan pvalue 0.000 < 0.05. Berbeda dengan kepemimpinan transformasional terhadap kepemimpinan 4.0 yangmemiliki pengaruh tidak signifikan dengan p value 0.970 > 0.05. Sedangkan kepemimpinan digital memilikipengaruh signifikan terhadap kepemimpinan 4.0 dengan p value 0.000 < 0.05. Dari penelitian inidiharapkan dapat bermanfaat bagi perusahaan untuk mengetahui kepemimpinan yang perlu diterapkanpemimpinnya di era revolusi industri 4.0.
PENGARUH E-SERVICE QUALITY, CUSTOMER VALUE DAN BRAND TRUST TERHADAP LOYALITAS PELANGGAN TRAVELOKA DI DESA TROSOBO KECAMATAN TAMAN KABUPATEN SIDOARJO
Authors: Dinda Siti Nurul Komariyah  , Tri Ariprabowo
Published: October 2024

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh E-Service Quality, customer value dan brand trust terhadap loyalitas pelanggan traveloka di Desa Trosobo Kecamatan Taman Kabupaten Sidoarjo. Penelitian ini bersifat deskriptif dan menggunakan metode kuantitatif. Dengan jumlah sampel 112, dan teknik pengambilan sampel adalah Accidental Sampling. Variabel E-Service Quality thitung sebesar 1,046  dengan nilai sig sebesar 0,004, variabel customer value thitung sebesar 1,654  dengan nilai sig sebesar 0,001 dan variabel brand trust sebesar thitung sebesar 2,517dengan nilai sig sebesar 0,013. Sedangkan hasil yang diperoleh dari uji F (simultan) adalah 3,046 dengan sig. Adalah 0,032. Yang artinya E-Service Quality, customer value, dan brand trust berpengaruh secara positif dan signifikan terhadap loyalitas pelanggan.
Pengaruh Disiplin Kerja Dan Kepemimpinan Terhadap Prestasi Kerja Pegawai Koperasi KPRI JAYA Dawarblandong Mojokerto
Authors: Isti Qomaul Khoiryah  , Suharyanto
Published: October 2024

Penelitian ini memiliki tujuan untuk menemukan pengaruh disiplin kerja dan kepemimpinan terhadapprestasi kerja pegawai koperasi KPRI JAYA dawarblandong mojokerto. Dengan menggunakan pendekatan metodekuantitatif, dalam penelitian ini memilki populasi sebesar 65 pegawai. Pada penelitian ini metode pengambilansampelnya menggunkan sampel titik jenuh dengan jumlah responden 65 pegawai, pada penelitian ini menggunakankuisioner dalam penggumpulan datanya dan teknis analisis data menggunakan analisis regresi linier bergandadengan program SPSS. Hasil penelitian ini menunjukkan bahwa disiplin kerja dan kepemimpinan berpengaruh positifterhadap prestasi kerja pegawai koperasi KPRI JAYA Dawarblandong Mojokerto
PENGARUH GAYA KEPEMIMPINAN DAN MOTIVASI KERJA TERHADAP KINERJA KARYAWAN PT. CIPTA OGGI FURINDO DI MOJOKERTO
Authors: Devi Kusmiawati  , Noerchoidah
Published: October 2024

Era globalisasi yang terus bergulir, teknologi informasi serta infrastruktur sebagai teman dan pengetahuan yang berbasis pada bisnis dan ekonomi. Sumber daya organisasi, berperan penting dan memiliki pengaruh dalam pencapaian tujuan sumber daya manusia. Penelitian guna mengidentifikasi gaya kepemimpinan, motivasi kerja terhadap kinerja karyawan PT.Cipta Oggi Furindo. Responden penelitian adalah 70 pekerja PT. Cipta Oggigi Furindose. Sebanyak 70 pekerja dimasukkan dalam sampel. Menggunakan pendekatan sampel jenuh untuk pengambilan sampel. Kuesioner, wawancara, dan dokumentasi digunakan untuk mengumpulkan infomasi. Menggunakan uji regresi linier berganda. Hasil penelitiangaya kepemimpinan dan motivasi kerja memiliki pengaruh positif dan sig terhadap kinerja karyawan. gaya kepemimpinan dan motivasi berpengaruh poatif dan sig pada kinera PT. Cipta Oggi Furindo pengaruh tersebut teradi secara simultan.
Fuzzy C-Means for Regional Clustering in East Java Province Based on Human Development Index Indicators
Authors: Qori'atunnadyah Marita
Published: October 2024

The Human Development Index (HDI) is the UN's key metric for gauging human advancement within a country, blending vital elements like per capita income, life expectancy, and education. In Indonesia, the HDI assesses societal well-being, with East Java's HDI lagging behind national and governmental targets despite mitigation efforts. To address this, the study utilizes Fuzzy C-Means clustering to classify East Java's regions based on HDI indicators, revealing five optimal groups via pseudo-F-statistic analysis. One-way MANOVA confirms variations among these groups, while One-Way ANOVA validates the significance of the four HDI indicators in categorization. The HDI-based categorization denotes Group 3 as high-status, Group 1 as low-status, Group 2 as moderately high-status, Group 4 as moderate, and Group 5 as moderately low-status. Consequently, it's advised that the government concentrates on improving low-HDI groups to uplift East Java's populace. This research can serve as a cornerstone for policymakers and stakeholders in their efforts to enhance the HDI in this region.
Kernel Nonparametric Regression Modeling with the Nadaraya-Watson Estimator (Case Study: Fertility in the Southern Sumatra Region)
Authors: Arib Muhammad Arib Alwansyah
Published: October 2024

Fertility is a live birth, namely the release of a baby from a woman's womb with signs of life such as screaming, breathing, a throbbing heart, and so on. The source of this research data comes from the publication of the official website of the Central Statistics Agency (BPS). This study aims to model and predict fertility data in 2020 with kernel nonparametric regression using the Nadaraya-Watson estimator. The nonparametric kernel model shows the relationship between fertility (Y) and the percentage of underage women at first marriage , the percentage of women 15-49 years who do not use traditional KB or conventional methods , the number of active family planning participants   , the number of couples of childbearing age   , the percentage of the average length of schooling , and the total expenditure per capita    based on Gaussian kernel function and bandwidth values. Based on the results of the analysis, the independent variables that have a significant effect are   , , ,  on the dependent variable with the optimum bandwidth value of 0.490 and the value of R2 of 99.6%, and the MSE value of 0.332. Modeling fertility is important as it helps understand and predict population trends. It provides insights into the potential number of births in a population in the future. This information can be used for policy planning, including health, educations, and social policies.
Binary Logistic Regression Analysis on the Spread of Dengue Fever in Bali Province
Authors: Safitri Pratiwi Luh Putu , Pradnyana Wijaya I Made Pasek
Published: October 2024

The spread of dengue fever involves a complex cycle between humans as hosts and mosquitoes as vectors. Symptoms of dengue fever can vary from a mild fever to a severe form that can be life-threatening. One of the areas that has the highest spread of dengue fever in Bali Province is the Denpasar area. Research continues to be carried out to understand the factors that influence the spread of dengue fever using the binary logistic regression method. Binary logistic regression is a regression model that is often used in modeling categorical data, where the dependent variable in this study is the distribution of dengue fever cases with the number of cases spreading in each region being assigned a category of zero for a low number of cases and one for a high number of cases. So in this research a more effective strategy was developed in controlling this disease as well as the best model for data on the spread of dengue fever in Bali Province. The results obtained from this research were a test of the influence of the independent variable on the dependent variable, showing that the variable number of adequate sanitation facilities (X5) had a significant influence on the number of dengue fever sufferers in Bali Province, namely 0.081.
Accelerating SIREKAP Digital Transformation in the 2020 Natuna Regency Election
Authors: Bagus Aji Kuncoro  , Supratiwi  , Fitriyah
Published: October 2024

The aim of this research is to analyze the implementation of digital transformation in the use of Sirekap in Pilkada 2020 district of Natuna. This type of research is qualitative, using a single case study research strategy, which involves an individual in one company or office, namely the Natuna Regency KPU office. The research design used is qualitative research. The acceleration of digital transformation is essential in the operational process of acquisition and as a support tool while minimizing risks from the early stages of the elections, the election day, and the post-election period. (post-election). The over-implementation of the Sirekap in the election of the head of the Bupati district and the Deputy Bupati District of Natuna district in 2022 increases transparency and accountability to increase public confidence in the results of the election calculations. The Sirekap application makes the working time of the KPU more effective than manual calculations. The KPU, with the presence of the Sireap application, also makes the information disseminated to the public no less rapidly than the survey agency because the region can monitor the data entered in the place of direct voting. The Sirekap application also has a high level of rigor and minimizes the error rate of voting calculation
The Effect of Motivation, Work Discipline, and Organizational Commitment on Employee Performance at PT. Hebsa Indonesia
Authors: Safarah Afina , Iryanti Endang
Published: October 2024

Human resources are a crucial asset in an organization, as they play a key role in implementing policies and operational activities. Companies with good human resources will achieve optimal results in their performance. It is essential for organizations to refine their planning to enhance employee productivity. This research aims to examine the impact of motivation, work discipline, and organizational commitment on employee performance at PT. Hebsa Indonesia, involving all 35 employees. The sampling technique used in this study is saturated sampling. The research method employed is quantitative. Data analysis was conducted using SmartPLS 3 software with the Partial Least Square (PLS) approach. The results indicate that motivation does not have an effect on employee performance at PT. Hebsa Indonesia, while work discipline and organizational commitment do influence employee performance.
Pengaruh Teknologi Informasi Dan Sistem Informasi Akuntansi Terhadap Kualitas Laporan Keuangan Perusahaan (Studi Pada PT. Mitra Pinasthika Mustika Tbk)
Authors: Ana Lailatul Arofiyah  , Muzakki Kafidin
Published: October 2024

This study aims to 1.) determine the effect of information technology on the quality of the company's financial statements at PT Mitra Pinasthika Mustika Tbk. 2.) determine the effect of the accounting information system on the quality of the company's financial statements at PT Mitra Pinasthika Mustika Tbk. 3.) determine the effect of information technology and accounting information systems on the quality of the company's financial statements at PT Mitra Pinasthika Mustika Tbk. The research method used in this research is descriptive quantitative method with the help of SPSS (Statistical Program for Social Science) analysis tool. The results of this study indicate that the influence of Information Technology and Accounting Information Systems has a significant influence on the company's financial statements at PT Mitra Pinasthika Mustika tbk.
Pemetaan Kawasan Rawan Bencana Tanah Longsor Dengan Menggunakan Metode Weighted Overlay Di Kecamatan Ngrambe Kabupaten Ngawi
Authors: Purnama Putra Guruh Mahardika , Mukhtar M. Nushron Ali , Majid Dian , Moch. Shofwan
Published: October 2024

Peraturan Daerah Kabupaten Ngawi Nomor 10 Tahun 2011 tentang Rencana Tata Ruang Wilayah Kabupaten Ngawi Tahun 2010-2030, Pasal 23 ayat 2, Kecamatan Ngrambe termasuk dalam kawasan rawan longsor dan tergolong wilayah paling rawan bencana tanah longsor karena memiliki letak geografis yang berdekatan dengan hutan gundul dan kritis disamping lokasinya berada di lereng Gunung Lawu. Metode yang digunakan pada penelitian ini adalah kuantitatif dengan teknik pengumpulan data yang digunakan dalam penelitian yaitu Observasi dan Instansi terkait. Tujuan penelitian mengetahui tingkatan  rawan bencana tanah longsor dengan menggunakan Metode Weighted Overlay longsor di Kecamatan Ngrambe. Hasil analisis berdasarkan perhitungan analisis spasial tersebut maka diketahuiasil analisis Weighted Overlay pada kawasan rawan bencana tanah longsor di Kecamatan Ngrambe menujukan hasiil kerawanan longsor yaitu rendah jumlah luas 3401,16 Ha, sedang jumlah luas 1676,69 Ha, jumlah luas 405,43 Ha tinggi, dan sangat tinggi jumlah luas 1410,61Ha.
Psychological competence of a lawyer as a means of improving the interaction of participants in legal relations
Authors: Shcherbakova Maria , Serebrovskaya Natal'ya
Published: October 2024

The article is devoted to the topic of developing the psychological competence of a lawyer as a professionally important personal characteristic in the context of considering his professional success from the point of view of economic theory. The analysis of economic risks in the field of legal practice in the specific area of bankruptcy of individuals is carried out, the factors of professional success of a lawyer in the process of interaction with debtor citizens are revealed. A practical study conducted among practicing lawyers is presented, which identifies the main indicators of their psychological competence, and proves its role as a means of improving the interaction of participants in legal relationships in the process of bankruptcy of individuals. Based on the results of the diagnostic study, the conditions and opportunities for the development of psychological competence of lawyers were determined through a special psychological training program developed taking into account the current requests of lawyers practicing in the field of bankruptcy of citizens. The importance of the psychological competence of a lawyer practicing in the field of bankruptcy of citizens as a professionally important personal education is substantiated. The need for a lawyer to have highly developed competencies in the psychological field in order to build effective interaction at different levels and the presence of diverse social contacts in the performance of professional tasks is proved.
Problems of countering the theft of budgetary funds allocated for the construction of highways
Authors: Андрей Ляпин
Published: October 2024

The article touches upon the problems of the field of road construction in terms of embezzlement of public funds allocated for both construction and major repairs of roads and road infrastructure.. The article considers the main signs, types of violations and crimes in this area, which are often committed during the construction of highways. The issue of criminal liability and consequences for committing crimes related to embezzlement of budget funds has been raised. The article suggests ways to solve this problem, including improving control over the use of budget funds, improving the system of state and municipal procurement, tougher penalties for crimes and other measures.
An integrated approach to assessing the financial security of the region
Authors: Serebryakova Tat'yana
Published: October 2024

The purpose of the article is to substantiate groups of indicators characterizing the financial component of economic security. At the same time, a comprehensive approach to assessing the financial security of the region based on the relationship with economic security is justified. The application of a multilevel structure of groups of indicators characterizing economic and social factors and threats to financial security is proposed, since they affect
the stability and stability of the region’s economy. The main attention is paid to the substantiation of indicators of the financial stability of the region, including those characterizing the debt burden, the level of income of the population, investment activity and the availability
of financial resources. The source of information is the integration of data from various sources, including statistical data, government reports and analytical studies.
Virtual Reality in Surgery and Rehab: Changing the Game for Doctors and Patients
Authors: Mahika Saoji  , Abhishek Tangudu  , Ravi Kiran Pagidi  , Om Goel  , Prof.(Dr.) Arpit Jain  , Prof.(Dr) Punit Goel
Published: October 2024

Virtual reality (VR) is revolutionizing the field of medicine, particularly in surgery and rehabilitation, by providing immersive, interactive experiences that enhance both treatment and training. In surgical applications, VR enables doctors to simulate complex procedures, allowing for safer practice and precision in real operations. Surgeons can rehearse difficult cases, minimizing risks and improving outcomes. For rehabilitation, VR creates dynamic environments that engage patients in therapeutic exercises, speeding up recovery and improving patient compliance. These personalized virtual environments offer measurable improvements in motor and cognitive skills, making treatment more effective. By integrating real-time feedback and immersive scenarios, VR is transforming the patient experience and empowering healthcare providers with advanced tools. This paper explores how VR is reshaping surgical techniques and rehabilitation protocols, ultimately changing the game for both doctors and patients through enhanced accuracy, reduced risks, and accelerated healing. The integration of VR in these fields is set to redefine medical practice in ways that are more accessible, interactive, and effective for diverse patient needs.
Enhancing ETL Performance Using Delta Lake in Data Analytics Solutions
Authors: Ravi Kiran Pagidi  , Raja Kumar Kolli  , Chandrasekhara Mokkapati  , Om Goel  , Dr. Shakeb Khan  , Prof.(Dr.) Arpit Jain
Published: October 2024

In the rapidly evolving field of data analytics, the performance of Extract, Transform, Load (ETL) processes is crucial for effective data management and insight generation. This study explores the integration of Delta Lake within ETL frameworks to enhance performance and reliability. Delta Lake, an open-source storage layer, facilitates ACID transactions, scalable metadata handling, and unifies batch and streaming data processing, addressing common challenges associated with traditional ETL processes. By leveraging Delta Lake’s capabilities, organizations can optimize data ingestion and transformation workflows, resulting in reduced latency and improved data quality.
This research employs a comparative analysis of traditional ETL methods and those enhanced with Delta Lake, measuring key performance indicators such as processing speed, resource utilization, and error rates. Case studies illustrate the practical applications of Delta Lake in diverse industries, demonstrating its potential to streamline ETL operations while ensuring data consistency and reliability. Additionally, the study discusses the implications of adopting Delta Lake for businesses seeking to harness large-scale data for analytics and decision-making.
Ultimately, this investigation highlights the transformative impact of Delta Lake on ETL performance, advocating for its adoption as a standard practice in data analytics solutions. By enhancing ETL processes, organizations can derive actionable insights more efficiently, driving innovation and competitive advantage in the data-driven landscape.
Enhancing Corporate Finance Data Management Using Databricks And Snowflake
Authors: Satish Vadlamani  , Raja Kumar Kolli  , Chandrasekhara Mokkapati  , Om Goel  , Dr. Shakeb Khan  , Prof.(Dr.) Arpit Jain
Published: October 2024

In today’s data-driven landscape, effective corporate finance data management is critical for informed decision-making and strategic planning. This study explores the integration of Databricks and Snowflake as a transformative solution for managing and analyzing corporate finance data. Databricks, with its robust analytics capabilities, provides a collaborative environment for data engineers and analysts, enabling real-time data processing and machine learning. Meanwhile, Snowflake offers a powerful cloud-based data warehousing platform that allows for scalable data storage and seamless integration with various data sources.
The synergy between Databricks and Snowflake facilitates the consolidation of disparate financial data, enhancing data accessibility and reliability. This integration empowers organizations to derive actionable insights from complex datasets, ultimately improving forecasting, budgeting, and financial reporting processes. Furthermore, the use of advanced analytics tools enables finance teams to identify trends, assess risks, and optimize investment strategies.
Through case studies and empirical analysis, this research highlights the significant benefits of adopting Databricks and Snowflake in corporate finance data management. By streamlining workflows and enhancing data collaboration, organizations can achieve greater operational efficiency and drive better financial outcomes. The findings underscore the importance of leveraging cutting-edge technologies in finance, illustrating a pathway for companies to navigate the challenges of modern data management while maximizing their analytical capabilities. This study serves as a guide for finance professionals seeking to optimize their data management practices in an increasingly competitive environment.
Good Policy or Good Luck? Why Inflation Fell Without a Recession
Authors:   Delft University of Technology. s.t.h.storm@tudelft.nl, Ferguson Thomas , Storm Servaas ,   Institute for New Economic Thinking; University of Massachusetts Boston. thomas.ferguson@umb.edu
Published: October 2024

This paper analyzes claims that the Federal Reserve is principally responsible for the decline of inflation in the U.S. We compare several different quantitative approaches. These show that at most the Fed could plausibly claim credit for somewhere between twenty and forty percent of the decline. The paper then examines claims by central bankers and their supporters that a steadfast Fed commitment to keeping inflationary expectations anchored played a key role in the process. The paper shows that it did not. The Fed’s own surveys show that low-income Americans did not believe assurances from the Fed or anyone else that inflation was anchored. Instead, what does explain much of the decline is the simple fact that most workers nowadays cannot protect themselves by bargaining for higher wages. The paper then takes up the obvious question of why steep rises in interest rates have not so far led to big rises in unemployment. We show that recent arguments by Benigno and Eggertson that shifts in vacancy rates can explain this are inconsistent with the evidence. The biggest factor in accounting for the strength in the economy is the continuing importance of the wealth effect in sustaining consumption by the affluent. This arises, as we have emphasized in several papers, from the Fed’s quantitative easing policies. Absent sharp declines in wealth, the continuing importance of this factor is likely to feed service sector inflation in particular.
Sintomatología ansiosa y depresiva en estudiantes de psicología ante la contingencia COVID-19: Estudio Longitudinal
Authors: Guzmán-Cortés Jorge Alberto , Bolaños-Ceballos Fernando , Sánchez-Betancourt Javier Tadeo , Luna-Padilla Jesús Antonio , Curiel Latorre Blanca Dania
Published: October 2024

El objetivo de este estudio fue evaluar si existieron diferencias en los niveles de ansiedad y depresión en alumnas universitarias a lo largo de un periodo de diez meses de aislamiento social debido a la pandemia por COVID-19, así como conocer su percepción sobre esta sintomatología. Se realizó un estudio comparativo longitudinal de corte mixto que recogió datos sobre sintomatología ansiosa y depresiva en 30 alumnas de licenciatura en psicología en dos momentos de la contingencia sanitaria. Se aplicó un cuestionario de datos sociodemográficos y antecedentes clínicos; así como una versión digitalizada de la escala de ansiedad de Hamilton (HARS), el inventario de depresión de Beck (BDI-II) y una entrevista a profundidad. Se observó que no existieron diferencias estadísticamente significativas dentro de la muestra en ninguna de las variables evaluadas. No obstante, se mostró un ligero decremento en las puntuaciones de ansiedad y depresión entre en la primera y segunda evaluación.
Розв’язання транспортної задачі в умовах неоднорідності продукції агропромислових підприємств
Authors: Akimov D. , Gavrilenko V.
Published: October 2024

У статті досліджено сутність транспортної задачі, її мету та завдання, а також методи розв’язання в умовах неоднорідності продукції. Особлива увага приділена агропромисловим підприємствам, де чинники, пов'язані з якістю продукції, строками її придатності та дотриманням режиму вологості під час перевезення, суттєво впливають на логістичні процеси. Специфіка агропромислової продукції полягає в її різноманітності за типами, якістю, термінами зберігання та іншими характеристиками, що створює додаткові виклики для оптимізації логістичних операцій. Важливим аспектом є також інтеграція екологічно безпечних практик у логістичні процеси агропромислових підприємств, що сприяє не лише збереженню якості продукції, але й зменшенню впливу на навколишнє середовище [1]. Використання спеціалізованих програмних комплексів для моделювання логістичних сценаріїв, що враховують всі можливі фактори ризику дозволяють більш ефективно планувати маршрути перевезень [2]. У статті проведено детальний аналіз існуючих методів розв’язання транспортних задач та досліджено проблему оптимізації транспортних витрат у агропромисловому секторі з урахуванням різноманітності продукції. Представлено декілька реальних прикладів, які ілюструють застосування запропонованих методів. Зокрема, розглянуто задачі для різних типів продукції, де враховано не лише транспортні витрати, але й втрати від псування продукції. Окреслено практичні рекомендації щодо вдосконалення логістичних процесів в агропромислових підприємствах з урахуванням неоднорідності продукції, що дозволяє знизити витрати на транспортування та підвищити ефективність постачання. Отримані результати демонструють ефективність запропонованих підходів у зниженні загальних витрат і мінімізації втрат продукції. Ця стаття буде корисною для науковців та практиків, які займаються питаннями логістики і управління в агропромисловому комплексі, а також для фахівців з оптимізації виробничо-транспортних систем
Автоматизація міграції програмного забезпечення у хмарну архітектуру із використанням інструменту інфраструктури як код Terraform у середовищі AWS
Authors: Behlitsov S.
Published: October 2024

У цій статті розглядається комплексний підхід до автоматизації надання інфраструктури за допомогою Terraform і AWS. Основною метою цього дослідження було оптимізувати розгортання та керування хмарними ресурсами за допомогою практик інфраструктури як коду (IaC). Стаття починається з пояснення фундаментальних принципів інфраструктури як коду, підкреслюючи її переваги з точки зору послідовності, повторюваності та співпраці. Центральне місце в цій методології займає Terraform, інструмент із відкритим кодом, розроблений для декларативного керування конфігурацією. Здатність Terraform визначати компоненти інфраструктури за допомогою простих, зрозумілих для людини файлів конфігурації забезпечує потужний механізм для надання та керування хмарними ресурсами в різних провайдерів. Ключовим моментом реалізації є використання AWS як хмарного провайдера. AWS пропонує широкий спектр послуг, від обчислювальних екземплярів (EC2) до керованих баз даних (RDS) і безсерверних обчислень (Lambda). У статті розглядаються конкретні випадки використання, коли Terraform використовується для автоматизації надання ресурсів AWS, таких як екземпляри EC2 для масштабованих веб-додатків, бакети S3 для зберігання об’єктів і конфігурації VPC для ізоляції мережі. Важливим аспектом, який обговорюється в статті, є керування станом Terraform, який відстежує поточний стан розгорнутих ресурсів і полегшує співпрацю між членами команди. Стратегії обробки файлів стану, включно з конфігураціями віддаленої серверної частини за допомогою Amazon S3 для блокування, вивчаються, щоб забезпечити узгодженість і уникнути конфліктів під час одночасного розгортання. Крім того, стаття стосується модулів Terraform, які інкапсулюють багаторазові конфігурації для різних компонентів інфраструктури, сприяючи багаторазовому використанню коду та зручності обслуговування. Завдяки модульній конфігурації команди можуть стандартизувати найкращі практики та застосовувати політики в різних середовищах, від розробки до виробництва. Інтеграція Terraform з конвеєрами CI/CD автоматизує тестування та розгортання змін інфраструктури, сприяючи гнучкості та зменшуючи ручне втручання. Ця автоматизація не тільки прискорює доставку оновлень інфраструктури, але й підвищує загальну надійність системи за допомогою автоматизованого тестування та механізмів відкату.
Аналіз ефективності алгоритмів машинного навчання в обробці великих даних
Authors: Bondarchuk O. , Kozub V. , Kozub Yu.
Published: October 2024

Метою статті є аналіз ефективності алгоритмів машинного навчання та пошук оптимальних підходів для їх використання в умовах високого навантаження і великих обсягів інформації. Особливу увагу приділено завданням, які потребують високої точності та швидкості, зокрема фінансові прогнози, медична діагностика та аналіз поведінкових даних. Методологія дослідження включала порівняльний аналіз різних алгоритмів машинного навчання, таких як лінійна регресія, дерева рішень, метод опорних векторів та глибокі нейронні мережі. Оцінювалися ключові фактори, що впливають на швидкість та точність обробки даних, зокрема розмір даних, складність моделей, обчислювальні ресурси та якість вхідних даних. Було проведено серію експериментів на реальних наборах даних, щоб оцінити результативність кожного алгоритму з погляду точності, часу навчання та потреби в обчислювальних ресурсах. У результатах дослідження встановлено, що глибокі нейронні мережі забезпечують високу точність на неструктурованих даних, але мають значні вимоги до обчислювальних ресурсів і часу навчання. Алгоритми, такі як лінійна регресія та дерева рішень, показали високу швидкість обробки на простіших наборах даних, проте їх точність знижується зі збільшенням складності завдань. Метод опорних векторів продемонстрував ефективність у завданнях класифікації та прогнозування, зокрема у фінансових та медичних застосуваннях. Випадкові ліси виявилися ефективними для текстової класифікації та забезпечили баланс між швидкістю і точністю. Висновки свідчать, що вибір алгоритму залежить від специфіки завдання, розміру даних та вимог до точності. Оптимізація моделей для роботи в умовах розподілених обчислень є ключовим напрямом для підвищення продуктивності, оскільки дозволяє паралелізувати процеси й зменшити час навчання
The Effect of Mimicry and Memorisation Method on Mufradât Mastery: A Pre-Experimental Design
Authors: Suleman Zihan , Rawandhy N. Hula Ibnu , Damhuri  , Abdullah
Published: October 2024

The low mastery of students' mufradât is still problematic in learning Arabic in Madrasah. Therefore, it is necessary to apply learning methods to significantly improve students' mastery of mufradât. This study aims to measure the effect of applying the Mimicry and Memorization method on students' mastery of mufradât. This research uses a quantitative experimental method with a pre-experimental design and intact-group comparison form. The study population totaled 30 students and consisted of experimental and control groups. The entire sample was sampled using the purposive sampling technique. Data were analyzed using four techniques: (1) Descriptive Statistical Analysis, (2) Normality Test, (3) Homogeneity Test, and (4) Hypothesis Test. The results showed that the average pre-test score of the experimental group was 18.33, and the post-test score was 71.33. Meanwhile, the average pre-test score of the control group was 28.67, and the post-test score was 57.33. Hypothesis testing using the Mann-Whitney test resulted in an Asymp.Sig. (2-tailed) value of 0.016 <0.05 means Ho is rejected and Ha is accepted. This study concludes that applying the Mimicry and Memorization method affects the mastery of mufradât of class VIII students of MTs N 1 Gorontalo Regency.
Rendahnya penguasaan mufradât siswa masih menjadi masalah dalam pembelajaran bahasa Arab di Madrasah. Oleh karena itu, perlu diterapkan metode pembelajaran yang dapat meningkatkan penguasaan mufradât siswa secara signifikan. Penelitian ini bertujuan untuk mengukur pengaruh penerapan metode Mimicry and Memorization terhadap penguasaan mufradât siswa. Penelitian ini menggunakan metode kuantitatif eksperimen dengan desain pre-experimental dan bentuk intact-Group Comparison. Populasi penelitian berjumlah 30 siswa yang terdiri dari kelompok eksperimen dan kelompok kontrol. Seluruh sampel dijadikan sampel dengan menggunakan teknik purposive sampling. Data dianalisis menggunakan empat teknik (1) Analisis Statistik Deskriptif (2) Uji Normalitas, (3) Uji Homogenitas, dan (4) Uji Hipotesis. Hasil penelitian menunjukkan bahwa rata-rata nilai pre-test kelompok eksperimen adalah 18,33 dan nilai post-test adalah 71,33. Sementara itu, rata-rata nilai pre-test kelompok kontrol adalah 28,67 dan nilai post-test adalah 57,33. Uji hipotesis menggunakan uji Mann-Whitney menghasilkan nilai Asymp.Sig.(2-tiled) 0,016 < 0,05, yang berarti Ho ditolak dan Ha diterima. Simpulan penelitian ini bahwa penerapan metode Mimicry and Memorization berpengaruh terhadap penguasaan mufradât siswa kelas VIII MTs N 1 Kabupaten Gorontalo.
Advancing Sustainable Higher Education: Embracing the Triple Bottom Line Integration in Uganda
Authors: Gichuru Eutychus Ngotho
Published: October 2024

The purpose of this conceptual paper was to revise Triple Bottom Line Theory of sustainable development as proposed by John Elkington, so as to propose ways of advancing sustainable higher education in Uganda. The major tenets of this theory are economic viability, environmental sustainability and social responsibility. Reduced fiscal spending by governments to higher education, the global calls for mitigation of climate change, youth unemployment and equity calls for higher education to be sustainable, including in Uganda. This paper concludes by proposing that sustainable higher education in Uganda is as a result of : Economic viability (job creation, skill development, research & innovation, community engagement, global education- partnerships with international institutions), environmental sustainability (integration of sustainability in curricula, use of experiential learning, collaboration with stakeholders, addressing resource limitations, empowerment and economic benefits) and social responsibility (community engagement, addressing local and global challenges, integrating social responsibility into missions, and merging social responsibility with internationalization efforts). The paper concludes by recommending empirical validation of the model, both in Uganda and outside Uganda
The effect of a 120 kg pontoon mass on the wave energy converter device due to heaving
Authors: Prasetya Agung Dwi , Dimas Suharto  , Muhamad Fadhil Faali  , Abdul Hamid  , Subekti Subekti
Published: October 2024

The environment is negatively impacted by the use of fossil fuels as a source of electricity. Using sustainable ocean wave energy is one way to replace fossil fuels and maximize the usage of natural energy. Electrical energy is produced from mechanical energy by ocean waves. An apparatus for converting wave energy from the ocean is needed to absorb it. The wave energy converter uses the up-and-down action of a chain on a pontoon to rotate a generator, producing electrical energy. The mass of the pontoon and the force of the ocean waves that excite it both have an impact on its vertical movement. Thus, the impact of pontoon mass on the wave energy converter is examined in this research. Both a planetary gear system and one without were used in the investigation. The voltage and current obtained at a wave height of 35 cm were 2.28 Volts and 0.160 A, respectively, without the planetary gear and 160.41 Volts and 13.95 A, with the planetary gear. Furthermore, an evaluation of the wave energy converter machine's performance was carried out. Using a planetary gear and a wave height of 13 cm, the second experiment's minimum power production was 212.63 Watts, while the sixth experiment's maximum power output was 2237.72 Watts with a wave height of 35 cm. In the second experiment, the generator without a planetary gear produced 0.0327 watts of power with the same wave height, and in the sixth trial, the generator produced a maximum of 0.3648 watts with a 35 cm wave height. As a result, utilizing a generator with a planetary gear is preferable to using one without one
Detecting damage on engine mounts using hilbert-huang transform vibration analysis
Authors: Ahmad Zaki Maulana  , Subekti Subekti  , Nur Indah
Published: October 2024

Engine mounts, which are usually composed of elastomeric materials like rubber that can absorb excessive vibrations, are built to withstand vibration sources from engines. Engine mounts may eventually degrade from extended use. When rubber products age or sustain damage, they may grow harder and crack. Engine mounts need to be maintained regularly to ensure optimal performance. Visual examinations and the detection of excessive vibrations can be used to accomplish this. Vibration sensors are mounted on the engine mount in axial, vertical, and horizontal orientations using a vibration detection technique utilizing the Hilbert-Huang Transform (HHT) methodology. Matlab is used to examine the data that is gathered at three distinct rotational speeds: 750 rpm, 2000 rpm, and 3000 rpm. The HHT approach combines two key components: the Hilbert Transform, which analyzes the time-frequency signal of the first decomposition until only residuals remain, and Empirical Mode Decomposition (EMD), which breaks down the signal into Intrinsic Mode Functions (IMFs). According to test data, a damaged mount had an amplitude of 0.00005212 m/s² and a frequency of 8 Hz. On the other hand, in typical circumstances, the highest frequency was 7 Hz with the same amplitude. Five frequency increases were made in the damaged mount throughout this operation. In the damaged mount, the Hilbert Transform showed a frequency of 2124 Hz with an amplitude of 0.007594 m/s², indicating a significant resonance. This illustrates how the Hilbert-Huang Transform's capacity to handle non-stationary and nonlinear signal forms allows it to detect damage in components efficiently
Savonius wind turbine blade selection based on computational fluid dynamics
Authors: Hery Soegiharto Achmad Fauzan , Andinusa Rahmandika  , Ahmad Nur Sidiq
Published: October 2024

The Savonius vertical axis wind turbine is widely used because of its simple design and efficiency at low wind speeds. The next development is the mini multi-blade Savonius helical wind turbine. At this miniature size, the performance of a mini multi-blade helical Savonius turbine due to variations in the number of blades and its impact on the energy produced has not been investigated in depth. Therefore, adjustments to the size and number of blades need to be made to optimize the performance of this turbine. The research aims to obtain the performance of the Savonius type S wind turbine with 3 blades and 4 blades using the CFD (Computational Fluid Dynamics) method. The main dimensions of the simulation model are the shaft diameter of 0.008 m, the outer diameter of 0.24 m, the height of 0.4 m, and the number of blades 3 and 4. The inner diameter of the 3-blade turbine is 0.21 m while the inner diameter of the 4-blade turbine is also 0.21 m. Both turbine models are subjected to wind speeds of 4 m/s, 5 m/s, and 6 m/s. Based on the simulation results, a turbine with 4 blades has more optimal performance compared to the 3-blade type. At a wind speed of 6 m/s, the 4-blade Savonius helical turbine produces a rotation of 498,215 rpm and a maximum power of 6,129 watts. Meanwhile, the Savonius turbine with 3 blades at a wind speed of 6 m/s produces a rotation of 545,655 rpm and a maximum power of 4,390 watts. This difference in performance shows the importance of adjusting the number of blades in wind turbine design to achieve optimal efficiency. This research provides useful insights for the further development of mini helical Savonius wind turbines in various wind conditions
The Effect of Tax Avoidance, Debt to Equity Ratio, and Managerial Ownership on Firm Value
Authors: Sari Cindy Permata , Muti'ah
Published: October 2024

This research aims to determine the effect of Tax Avoidance, Debt To Equity Ratio, and Managerial Ownership on Firm Value. The objects in this study are Manufacturing Companies in the Food and Beverage Sub Sector that are listed on the Indonesia Stock Exchange (IDX) for the 2017-2021 period. This research was conducted on 14 sample companies using a quantitative approach. The analysis test carried out in this study was a multiple linear regression analysis test using SPSS 25 software. The results to this research show that Tax Avoidance has a significant effect on company value, Debt To Equity Ratio has no effect on company value, and Managerial Ownership has no effect on Company Value.
fiscalización de la colaboración público-privada en el ámbito del transporte terrestre
Authors: Fernández Torres Isabel
Published: October 2024

SUMARIO: 1. INTRODUCCIÓN.– 2. LA UNIÓN EUROPEA Y LA FISCALIZACIÓN DE LA CPP.– 3. LA ACTIVIDAD FISCALIZADORA DEL TRIBUNAL DE CUENTAS EN RELACIÓN CON LA COLABORACIÓN PÚBLICO-PRIVADA.– 4. LA FISCALIZACIÓN DE LA CPP EN ESPAÑA TRAS LA LEY DE CONTRATOS DEL SECTOR PÚBLICO DE 2017.– 5. FISCALIZACIÓN POR LOS ÓRGANOS DE CONTROL EXTERNO: 5.1. Criterios de selección de las concesionarias y reequilibrio; 5.2. Precio de la construcción; 5.3. Sobre el mantenimiento de las autopistas y la calidad de los servicios.– 6. CONCLUSIÓN
Oviposition of Panonychus ulmi (Koch, 1936) (Acari: Tetranychidae) in response of conspecific and heterospecific mites cues
Authors: Rode Priscila de A. , Schneider Julia R. , Ferla Noeli J.
Published: October 2024

This study aimed to assess oviposition of Panonychus ulmi (Koch, 1936) (Acari: Tetranychidae) in response of conspecific and heterospecific mites cues on apple trees (Malus domestica Borkh: Rosaceae). The oviposition of P. ulmi was measured on apple tree leaves with the presence of webs, eggs, and other cues of phytophagous mites (Aculus schlechtendali (Nalepa, 1890) (Acari: Eriophyidae), P. ulmi, Tetranychus urticae Koch, 1936 (Acari: Tetranychidae), and Tetranychus ludeni Zacher, 1913 (Acari: Tetranychidae)). The presence of conspecific webs and cues increased the oviposition of P. ulmi, while the presence of A. schlechtendali and T. urticae webs and eggs and A. schlechtendali cues decreased oviposition. The oviposition increases in the presence of conspecifics suggesting that P. ulmi performs better in environments without heterospecific mites. On the other hand, the P. ulmi decreases in oviposition in presence of heterospecific mite cues suggesting a potential competitive displacement of tetranychid by eriophyid mites.