bluuebunny/crossref_metadata_2025_split huggingface dataset:
Peran mediasi work life balance di antara work from home dan kepuasan kerja
Authors: Suryaningtyas Dianawati , Wilujeng Sri , Firdaus Riril Mardiana 
Published: August 2022

The purpose of the study was to determine the effect of work from home on work-life balance, work-life balance on job satisfaction, work from home on job satisfaction and work from home on job satisfaction mediated by work-life balance. Work from home is measured by management culture, technical support, supervisor trust, support from the Human Resource department, financial support, training, job features, personal work preferences, and household factors. Work-life balance is measured by time balance, engagement balance, and overall. Job satisfaction is measured by the achievement of satisfaction. Data were analyzed using Partial Least Square (PLS). The results of the analysis show that work from home has an effect on work-life balance, work-life balance has an effect on job satisfaction, and work from home has no effect on job satisfaction. Work-life balance contributes to mediating the impact of remote employment on job satisfaction. It is suggested that this research be developed in a different setting and that more samples and other variables be used.
Educación Virtual. Una revisión a la estructura pedagógica en la Universidad Técnica de Manabí (Ecuador).
Authors: Pazmiño Campuzano Marcos Fernando 
Published: August 2022

Dentro de la educación superior, el desarrollo de nuevas modalidades de enseñanza-aprendizaje se ha venido innovando con la evolución de las TICS, por lo que las Instituciones de educación superior en Ecuador, han experimentado cambios pedagógicos.
La investigación presenta un diseño no experimental, con enfoque cualitativo y descriptivo, debido a que se hizo un estudio comparativo sobre las perspectivas de 8 vicedecanos de las carreras virtuales que ofrece la UTM, respecto a diversos aspectos importantes dentro de la modalidad en línea, algunos de ellos: la incorporación de las herramientas digitales en sus actividades de enseñanza, estado de las competencias digitales, modalidades adoptadas dentro la virtualidad y ciertas características dentro de la práctica docente.
Los resultados obtenidos indican que se han adoptado nuevas metodologías de enseñanza-aprendizaje dentro de la virtualidad, además se ha incrementado el uso de software o herramientas digitales para el desarrollo de actividades en cada una de las carreras, por lo que ha incidido en que se obtenga buenas competencias profesionales tanto en docentes como estudiantes. Se concluye que es necesario seguir fortaleciendo el proceso de enseñanza-aprendizaje en la virtualidad, a través de la incorporación de nuevas herramientas, capacitación a los docentes y seguimiento académico a los estudiantes.
IMPLEMENTASI HIDDEN CURRICULUM PESANTREN UNTUK MENGEMBANGKAN KARAKTER RELIGIUS SISWA DI SMK SUNAN KALIJAGA SAMPUNG PONOROGO
Authors: Rohmad  , Kolis Nur 
Published: August 2022

Tujuan dari penelitian ini adalah untuk menjelaskan kebijakan hidden curriculum pesantren di SMK Sunan Kalijaga Sampung Ponorogo, mengkritisi implementasi hidden curriculum pesantren di SMK Sunan Kalijaga Sampung Ponorogo, dan menganalisis implikasi implementasi hidden curriculum pesantren terhadap karakter religius siswa SMK Sunan Kalijaga Sampung Ponorogo, mengkritisi implementasi hidden curriculum pesantren di SMK Sunan Kalijaga Sampung Ponorogo. Penelitian ini merupakan penelitian kualitatif. Teknik pengumpulan data adalah wawancara, observasi, dan dokumentasi. Sedangkan teknik analisis data yang digunakan adalah analisis model akhir yang meliputi reduksi data (data reduction), penyajian data (data display), dan penarikan kesimpulan (conclution). Temuan penelitian ini menunjukkan bahwa: Kebijakan hidden curriculum pesantren sudah terencana sesuai visi misi sekolah, yang meliputi perencanaan, pengorganisasian, pelaksanaan, dan evaluasi. Pelaksanaan hidden curriculum pesantren di SMK Sunan Kalijaga Sampung Ponorogo sudah terlaksana dengan cukup baik. Strategi yang digunakan adalah; pembiasaan, keteladanan, kedisiplinan, dan religius culture. Implikasi pelaksanaan hidden curriculum pesantren di SMK Sunan Kalijaga Sampung Ponorogo berdampak pada peningkatan karakter religius siswa yang meliputi nilai akidah, ibadah, dan akhlak
MANAJEMEN STRATEGI KEPALA MADRASAH DALAM MENCIPTAKAN BUDAYA RELIGIUS
Authors: Akhmad Fauzi  , Siti Maryam Yusuf  
Published: August 2022

Penelitian ini bertujuan untuk menganalisis 1). Strategi perencanaan kepala madrasah dalam menciptakan budaya religius. 2). Strategi pelaksanaan kepala madrasah dalam menciptakan budaya religius. 3). Strategi evaluasi kepala madrasah dalam menciptakan budaya religius di MTs Tahfizh Alam Qur’an Winong - Jetis - Ponorogo. Penelitian ini didesain dalam bentuk penelitian kualitatif, dengan mengambil lokasi di MTs Tahfizh Alam Qur’an Ponorogo. Metode pengumpulan data dilakukan dengan observasi, wawancara mendalam, dan dokumentasi. Informan kunci adalah kepala madrasah, bag. Kurikulum, bag. Kesiswaan, bag. Ibadah, bag. Bahasa dan siswa. Penelitian ini menggunakan purposive sampling dengan teknik snowball sampling. Pengecekan keabsahan data dimulai dengan member chek dan dilanjutkan dengan teknik triangulasi, reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa: 1). Strategi perencanaan yang dilakukan kepala madrasah dalam menciptakan budaya religius meliputi: Assesmen lingkungan internal-eksternal, perumusan visi-misi, penyusunan rencana kerja tahunan madrasah (RKTM), dan penyusunan rencana kerja jangka menengah (RKJM). 2). Strategi pelaksanaan yang dilakukan kepala madrasah dengan meliputi: Pengorganiasaian, dalam pelaksanaan pengorganisasian yang dilakukan kepala MTs Tahfizh Alam Qur’an dengan cara pembentukan struktur MTs Tahfizh Alam Quran dan pembagian Job description, supervise, emberian bimbingan teknis pelaksanaan tugas, dan reward dan punishment. 3). Strategi evaluasi yang dilakukan kepala madrasah meliputi: Musyawarah yang dilakukan yang dilakukan secara rutin yang meliputi, musyawarah bulanan, semesteran dan penyusunan evaluasi diri madrasah EDM
Determinasi Produktivitas Guru di SD Muhammadiyah Terpadu Ponorogo
Authors: Ambarwati Meris Dila Ayu , Wulansari Andhita Dessy 
Published: August 2022

Produktivitas merupakan kemampuan seseorang untuk unjuk kerja.Sesuai latar belakang yang terjadi di SD Muhammadiyah Terpadu Ponorogo ditemukan permasalahan guru yang mengajar tidak sesuai dengan latar belakang pendidikan yang dimiliki dengan tugas yang diberikan oleh pihak sekolah dan tugas administrasi guru kurang lengkap seperti pengumpulan jurnal mengajar guru yang tidak tepat waktu. Maka hal ini merupakan cerminan produktivitas guru yang rendah. Penelitian ini bertujuan untuk mengetahui adanya untuk mengetahui pengaruh yang signifikan kreativitas, motivasi, kepusan kerja terhadap produktivitas guru di SD Muhammadiyah Terpadu Ponorogo. Pendekatan yang digunakan peneliti ialah pendekatan kuantitatif. Teknik pengumpulan data menggunakan angket. Analisis data yang digunakan analisis regresi linier sederhana dan regresi linier berganda. Populasi dari penelitian ini adalah guru sejumlah 56 orang dan teknik sampel yang digunakan adalah sampling jenuh dengan 56 guru. Berdasarkan analisis data ditemukan: (1) adanya pengaruh kreativitas terhadap produktivitas guru di SD Muhammadiyah Terpadu Ponorogo; (2) adanya pengaruh motivasi terhadap produktivitas guru di SD Muhammadiyah Terpadu Ponorogo; (3) adanya pengaruh kepuasan kerja terhadap produktivitas guru di SD Muhammadiyah Terpadu Ponorogo dan (4) adanya pengaruh kreativitas, motivasi dan kepuasan kerja terhadap produktivitas guru di SD Muhammadiyah Terpadu.
Pengaruh Gaya Kepemimpinan Kepala Sekolah dan Motivasi Kerja Terhadap Kinerja Guru Madrasah Ibtidaiyah di Kebonsari Madiun
Authors: Fitriani Choirun Nisa’ , Ali Muhammad 
Published: August 2022

Kualitas kinerja guru akan sangat menentukan pada kualitas hasil pendidikan, namun kenyataanya kinerja guru Madrasah Ibtidaiyah di Kebonsari Madiun belum optimal. Tinggi rendahnya kinerja guru di suatu lembaga bisa dipengaruhi banyak faktor dan dari sekian banyaknya faktor diantaranya adalah faktor gaya kepemimpinan kepala sekolah dan motivasi kerja guru. Oleh sebab itu penelitian ini bertujuan untuk mengetahui: 1) Signifikansi pengaruh gaya kepemimpinan kepala sekolah terhadap kinerja guru Madrasah Ibtidaiyah di Kebonsari Madiun. 2) Signifikansi pengaruh motivasi kerja terhadap kinerja guru Madrasah Ibtidaiyah di Kebonsari Madiun. 3) Signifikansi pengaruh gaya kepemimpinan kepala sekolah dan motivasi kerja terhadap kinerja guru Madrasah Ibtidaiyah di Kebonsari Madiun. Peneliti menggunakan pendekatan kuantitatif dengan metode pengumpulan data menggunakan angket. Adapun untuk analisis data pada penelitian ini peneliti menggunakan analisis regresi sederhanadan analisis regresi linier berganda dengan jumlah populasi sebanyak 234 kemudian dengan jumlah sampel 144 yang sesuai dengan teori Krejcie dan Morgan untuk taraf kesalahan 5%. Untuk hasil dari analisis data dapat peneliti kemukakan bahwa: 1) Gaya kepemimpinan kepala sekolah berpengaruh secara signifikan terhadap kinerja guru Madrasah Ibtidaiyah di Kebonsari Madiun dilihat dari thitung = 3.431 dan ttabel = 1.645, dan berpengaruh sebesar 7.7%. 2) Motivasi kerja berpengaruh secara signifikan terhadap kinerja guru Madrasah Ibtidaiyah di Kebonsari Madiun dilihat dari thitung = 6.862 dan ttabel = 1.645, dan berpengaruh sebesar 24.9%. 3) Gaya kepemimpinan kepala sekolah dan motivasi kerja berpengaruh secara signifikan terhadap kinerja guru Madrasah Ibtidaiyah di Kebonsari Madiun melihat dengan Fhitung = 23.701 kemudian dengan Ftabel = 3.060, dan berpengaruh sebesar 25.2%.
The Advancement of Green Hydrogen and Prospects for the Future: A Brief Overview
Authors: Ejike Chinedu 
Published: August 2022

Abstract
With the growing global population, and thus the global energy needs, it is vital to move to a more environmentally friendly energy source. Because fossil fuel consumption is pushing global warming to dangerous new heights, there is a pressing need to investigate green energy alternatives. Green hydrogen energy is however one promising method for providing greener energy while preventing global warming. Green hydrogen is a hydrogen-based energy that is made by electrolyzing water alongside electricity supplied from low-carbon sources. This energy is expected to be a significant resource in the post-fossil fuel era owing to its special ability to support a climate-friendly future economy and it's presently gaining traction in a number of national and international climate policies. This research looks at the benefits and drawbacks of green hydrogen energy, which is at the heart of numerous possibilities for an optimization of energy society. Whereas many authorities and international organizations are investing heavily in research and development of a green hydrogen technology, there are still a slew of unanswered questions, including technological concerns, economic ramifications, and diplomatic repercussions. The hydrogen distribution network has a lot of phases, which means there are a lot of energy losses. In many nations, a low-carbon hydrogen economy offers exciting potential to combat climate change, improve energy independence, and grow local economy.
A Method for Reducing Wellbore Instability Using the Managed Pressure Drilling (MPD) System
Authors: Ejike Chinedu , Shouceng Tian 
Published: August 2022

Abstract
Drilling for oil and gas wells is considered as a risk factor that is perceived as tolerable. As drilling companies expand into harsh environments and farther depth, the probability of a potential failure increases. An unexpected influx to or from the wellbore might be disastrous if not handled properly. Drilling-related issues such as jammed pipes, lost circulation, and high mud costs demonstrate the need for improved drilling technologies. The goal is to limit annular frictional pressure losses, especially in fields where the pore pressure and fracture pressure gradient are too close together. If these issues can be resolved, the economics of drilling wells would increase, allowing the industry to drill previously uneconomical wells. Managed Pressure Drilling (MPD) is a unique approach that allows the control of annular frictional pressure losses and can solve these types of drilling challenges. The industry is still mostly unaware of the entire range of advantages. Prompt detecting and handling of an influx of formation fluids can have the possibility to reduce the magnitude and extent of a kick by operating on a faster time scale with greater precision. Constant Bottomhole Pressure (CBHP), Pressurised Mudcap Drilling (PMCD), and Dual Gradient Drilling (DGD) are a few MPD variants. MPD reduces drilling issues and increases the economics of drilling wells. This research focuses on strategies employed in MPD, with the goal of uncovering some of the less well-known and thus underappreciated possibilities.
Investigation on Effect of Enzyme on Oil-Brine Emulsification
Authors: Udoh Tinuola , Aigbodion Osadebamen 
Published: August 2022

Abstract
In this paper, the capacity of enzyme to influence brine-in-oil and oil-in-brine emulsions was investigated. The emulsion stability index method was used to monitor the effect of varied enzyme concentrations (1-, 5- and 10 wt.%) on oil-brine emulsion stability and separation process. The result of the study shows that the addition of different concentrations of enzyme to oil-brine mixtures enhanced the mixing and separation of the emulsions at varied capacities. Faster oil-brine separation was observed with increase in enzyme concentrations, but better mixing and higher emulsion stability was observed with lower concentration of enzyme. The result of this study is of a great significance to enzyme enhanced oil recovery application process in which good oil-brine mixture is require for the recovery of the residual oil saturation from the reservoir rock pores and the separation of oil and brine that is required after production at the surface.
Economic Impact of the COVID-19 Pandemic on the Oil and Gas Sector in Ghana
Authors: Amoako Fredrick Opare Baah , Donkor Hannah , Kwarteng Ella , Fordjour Emmanuel 
Published: August 2022

Abstract
Historically, the petroleum industry has been a significant contributor to global economic growth. The drop in oil and gas demand, coupled with travel restrictions due to the COVID-19 pandemic caused a drop in global oil market prices. This has resulted in a drop in the output in the global economy. These drop-in output means that there were losses associated with the COVID-19 pandemic. The aim of this study is to evaluate and investigate the economic effect of the coronavirus pandemic on the oil and gas industry in Ghana. The evaluation was done using economic performance indicators such as GDP and Crude oil prices. In addition to this, a loss function-based algorithm was used to model the projected economic loss during this period. To demonstrate the model, data was collected from a study site and used in the model. The study is useful for decision making on the preparedness for future pandemics, especially in oil dependent countries.
Enhanced Oil Recovery Optimisation in Marginal Fields
Authors: Uche Chukwunonso , Eremiokhale Obehi , Uche Jennifer , Esieboma Samuel , Bukar Ibrahim 
Published: August 2022

Abstract
"Marginal field" was introduced to the oil and gas industry to identify those fields that have negative economic effects in its development. More specifically it is possible to define a marginal field as a field that is cost ineffective to develop with conventional oil and gas means of technology. Economic development of marginal fields in most cases requires the use of existing processes to minimize cost of finding evolving technologies in development of reserves. This paper generally evaluates the feasibility of using the enhanced oil recovery technique to improve reserves in a marginal field operation environment. A marginal heavy oil field in the offshore environment of the Niger Delta region which started production in 2011 is used as a case study to evaluate the feasibility of the use of enhanced oil recovery method to improve recovery. Due to poor mobility ratio in this heavy oil field and its associated big aquifer sizes, pockets of unrecovered oil have been left behind the water fronts and water cut has risen above 80% in most of the producing wells. Recent integrated field evaluation shows that the recovery factor is poor compared to the size of oil originally in place and this triggered the need to process subsurface assessments of developing such reserves that exist in any marginal field using enhanced oil recovery technique. This paper therefore goes through the fundamental scope of an enhanced oil recovery study process to determine the applicability of this technology in a marginal oil field.
Application of Machine Learning Algorithm for Predicting Produced Water Under Various Operating Conditions in an Oilwell
Authors: Adesina Eriagbaraoluwa , Olusola Bukola 
Published: August 2022

Abstract
Production optimization is often required to manage increase of undesired reservoir fluids especially water in oil and gas wells. However, this activity needs to be guided by science and data rather than a trial-and-error approach of changing the operating conditions of the well to determine the corresponding production response. Well performance models are often used to predict well behavior at different operating conditions but one of the disadvantages of this method is the inability to predict the water cut based on given well parameters. In this work, we applied the random Forest Regression model, well test data and well performance model to predict the expected water cut while changing the operating conditions of a well.
We had used four wells to demonstrate the application of machine learning to produced water prediction under different operating conditions. Well performance model which is a combination of Presssure Volume Temperature (PVT) model, inflow performance relationship (IPR) model and vertical lift performance (VLP) model was used to generate the well parameters transferred to the machine learning algorithm. A histogram and box plot were first drawn to understand the distribution of the data and filter the outliers within the dataset because outliers skew the model results. A correlation matrix was now used to understand the relationship between the water cut and the following variables: Flowing Tubing Head Pressure, the Bean Size, the Gas Oil Ratio, and liquid production.
Thereafter the Random Forest model was applied to the well parameters to get the predicted values. After getting our predicted values from our model, the model results were evaluated with three regression evaluation metrics, the mean absolute error, the mean squared error and the root mean squared error to compare the predicted water cut values with the actual values and return the margin of error in the predictions. The Mean Absolute Error, Mean Squared Error, and Root Mean Squared Error results were within acceptable tolerance. Therefore, given the minimal error values we can conclude that the model can successfully predict water cut values at different operating conditions.
Based on our evaluation, the bar chart predicted values and actual values showed minimal error margins indicating the model's accuracy can be trusted.
This paper presents a novel way to estimate the water cut of a well under various operating conditions, a prediction that is not available using existing well performance models.
Prediction of Drift Velocity Closure Relationship in Multiphase Flow Models Using Deep Learning Approach
Authors: Koffi Itoro Udofort , Livinus Aniefiok 
Published: August 2022

Abstract
Multiphase flow modelling is of major importance in the design of pipelines, separation plants, and many other systems found in the chemical and petroleum industries. Many multiphase flow models apply a number of closure relationships; one of such is the drift velocity. Empirical correlations, with varying range of applicability and predictive capability, are typically relied upon by researchers to predict this parameter.
This work therefore presents the development of a machine learning approach for predicting drift velocity in horizontal and non-horizontal pipelines. Python programming language environment using Tensorflow and Keras deep learning libraries with early stopping to prevent overfitting and inaccuracy was implemented. The approach was based on a three-layered supervised deep neural network developed as a function of pipe diameter, pipe inclination, fluid density, fluid viscosity and surface tension.
The developed model was validated by comparing with experimental data and existing correlations by statistics and error analysis. The developed deep learning model, in general, performed better than the investigated existing correlations under their respective range of validity. Over 90 % of the calculated Froude numbers from the DNN model were within the fixed ±20 % average relative error bandwidth considered for this work.
Workflow for Slot Re-Utilization Assessment on Offshore Brown Fields to Improve Re-Development Profitability – A Case Study in Nigeria
Authors: Orji Mirian Kosi , Olatunbosun Ademola , Abe Gbenga , Osaigbovo Uhunoma , Agiaye John , Arowosafe Toyin 
Published: August 2022

Abstract
As fields brown out, opportunities tend to shrink in size and recoverable volumes necessitating the design of innovative cost efficient re-development solutions to address increased surface and subsurface challenges. A prominent surface challenge with in-fill drilling on shallow offshore brown fields is slot availability, since the existing platform slots are typically in active use. Some of the known time and cost efficient means of addressing this issue, includes internal slot add-ons, deck extensions for external slot add-ons and shared wellhead systems – all of which can be accommodated up to the design limit of the existing platform. There is also the option of scaled-down platforms such as conductor supported platforms which present a cheaper alternative to conventional jacket platforms.
This paper describes a structured approach applied on a brown field in Nigeria, to determine the re-use potential of existing wells on an offshore platform. The case study starts by identifying shut-in wells and active wells which have expected end of producing lives that precede the planned infill drilling period. These wells are then screened out and evaluated for further immediate to near-term utility such as rigless intervention, stimulation, recompletion and workover. The remaining wells form an inventory of the potential donor wells for sidetrack feasibility assessment, which takes into consideration wellbore architecture, casing sizes/depths, environmental regulatory requirements, P&A complexity, surface equipment constraints and well integrity aspects. The identification and categorization of potential donor wells provides the basis for the final step in the workflow which is trajectory feasibility study against identified subsurface targets.
The overall objective is to reduce or eliminate the need for new platforms and consequently improve the economics of infill projects.