bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Development and Training on the Performance of Faculty at the University: A Field Study at Almaaqal University (Private Sector)
Authors: Alrobaie Ahmed Ismaeel Khedhair
Published: February 2022

Training and development are a basic base upon which the effectiveness of the organization  rests, and through them, the accumulated experience and knowledge in the workplace is  organized and directed towards comprehensive organizational performance. In the field of the  university educational process, training and development results in the faculty accumulated  knowledge and experience, which in turn improves the level of overall organizational  performance at the university level. The structure of the research and its procedures  hypothesis that (there is a statistically significant effect (for training and development) on the  performance level of faculty at Almaaqal university, and for the purposes of collecting field  data, an arbitrator and laboratory questionnaire was used, the study reached an important  conclusion that (the positive effect of training and development on the level of performance of  faculty at Almaaqal university).
The Relationship Between Leadership Functions and Performance Continuity in UAE Public Organizations: Moderating Role of Technology Business Analytics
Authors: Almheiri Khalifa Mohamed Obaid , Romle Abd Rahim , Omar Rusdi
Published: February 2022

Performance continuity is a major challenge for several organizations. In this regard the leadership  plays a significant role. Thus, the purpose of the current research is to identify the role of leadership  behaviors including challenging the process, inspiring a shared vision, and enabling others to act  over performance continuity in UAE public sector organizations. Furthermore, the study also  examined the moderating role of technology business analytics over the relationship between  challenging the process, inspiring a shared vision, enabling others to act, and performance  continuity in UAE public sector organizations. For the said purpose primary research has been  conducted and the data has been collected from adopted instruments. The findings of the study  revealed that challenging the process, inspiring a shared vision, and enabling others to act has a  significant impact over performance continuity. Likewise the moderating role of technology  business analytics over the relationship between challenging the process, inspiring a shared vision,  enabling others to act, and performance continuity has also been found significant. The study  enriched social exchange theory with the help of system theory to support the moderating role of  technology business analytics. The study is significant for the academicians as well as practitioners  to understand the leadership behavior required to enhance performance continuity.
Strategic Organizing and Workforces Performance of Iraqi Oil Companies
Authors: Al-Frijawy Jawad
Published: February 2022

Strategic organizing is an organizational management activity that must be effective and measurable implemented in the company to achieve the desired results. The organization as a well implemented strategic plan to manage the external changes. The aim of the research is to reveal the extent of the impact of strategic organizing on the performance of workforces in Iraqi oil companies. The research was conducted in Basra Oil Company as a field of study. The researcher adopted a major hypothesis that (there is a statistically significant impact of strategic organizing and its variables on the performance workforces of Iraqi oil companies. Sample of (145 people) was selected, and the questionnaire was used as a tool for data collection. The result the most important of which is (the Iraqi oil companies need to work according to the concepts and requirements of strategic organizing ).
Design with Analysis for Helping Jet Wind Turbine Blades
Authors: Bhushan S. Bhangale  , Saurabh K. Rane
Published: February 2022

This paper summarizes the design and analysis of Jet Wind Turbine blades, CATIA is used for design and analysis for model generated by applying boundary condition; this paper also includes specific post processing and life assessment of blade. We take an opportunity to present this report on “Design and Analysis of Jet Wind Turbine Blades” and put before readers some useful information regarding this project. Drawn by list of priorities progress in the design and structural analysis of jet wind turbine blades is reviewed and presented for generating 100 watt power. This article is motivated by the key role of blades in the performance of jet wind turbine. The fundamentals of the associated physics are emphasized. Recent developments and advancements have led to an increase and improvement in blade aerodynamics, stability and reliability. This article is intended as a high level review of design of the blade environment and current state of structural design to aid further research in developing new and innovative blade technologies.
Relação entre óbitos de mulheres por agressão, violência e aspectos socioeconômicos nos municípios brasileiros
Authors: Latuf Larissa , Chaves Meireles Débora , Rodrigues Faria Weslem
Published: February 2022

Objetivo: analisar a correlação entre dois conjuntos de variáveis. Um deles é formado pelo número de óbitos de mulheres por agressão e violência doméstica, sexual e outras violências. O outro é formado por indicadores socioeconômicos como o número de mulheres mães e chefes de famílias, pobreza, taxa de fecundidade, analfabetismo, renda per capita, número de empregados mulheres e salários recebidos por mulheres. Método: o método de correlação canônica foi aplicado. Resultado: os principais resultados indicaram dois coeficientes de correlação significativos entre os dois pares de variáveis canônicas geradas. Conclusões: municípios que apresentaram alto número de óbitos de mulheres por agressão e violência doméstica, sexual e outras violências detinham também maior número de mulheres chefe de famílias e com filhos menores de 15 anos, maior taxa de fecundidade, as mulheres recebiam menores salários, possuíam menor renda per capita e maior taxa de analfabetismo e proporção de pobres.
The impacts of Uncertainty on the Industrial Product: Empirical Evidence with the PVAR Model
Authors: Cateia Júlio vicente
Published: February 2022

The interest rates and uncertainty are supposed to play an important role on the agents' decisions. This study has two main objectives. First, we verify the impact of industrial output to the investments and real interest rates shocks in mercusur countries using the PVAR model through the GMM system (1997-2016). The results of the estimates show, on the one hand, that industrial production responds positively and statistically significant to changes in investments and, on the other one, it responds negatively to changes in real interest rates. Granger's causality test suggests that investments and interest rates Granger-cause the industrial product. Second, we present empirical evidence of the role of uncertainties in the agents' investment decision-making process, considering only the case of Brazil (2002-2016). We find that the industrial product and investments increase with the agents' confidence on the federal government future behavior  but decrease when uncertainties raise.
MEDIDAS ADOTADAS POR ENFERMEIROS PARA PREVENÇÃO DE LESÃO POR PRESSÃO EM PACIENTES DE UNIDADE DE TERAPIA INTENSIVA.
Authors: Aquino Fernanda Cristina Lins Silva de
Published: February 2022

Introdução: Lesão por pressão é caracterizada como um dano na pele e/ou tecido subjacente, comumente localizada em proeminências ósseas ou relacionadas ao uso de dispositivos médicos que geram uma pressão em determinada região corporal. É considerada um evento adverso (EA) evitável e um problema de saúde pública frequente nas unidades de terapia intensiva (UTI), devido ao grau de dependência dos pacientes. Objetivo: De acordo com a resolução COFEN 358/2009, a Sistematização da Assistência de Enfermagem (SAE) tem a finalidade de organizar o trabalho profissional quanto ao método, trabalho e instrumentos. Por isso, conhecer a SAE em UTIs nos permitirá criar medidas de prevenção efetivas para controle e minimização dos casos de LP’s com envolvimento ativo de toda equipe de enfermagem. Material e métodos: A aplicação da escala de Braden, avaliação das áreas do corpo com dispositivos, a inspeção diária da pele dos pacientes, mudança de decúbito, uso de colchões pneumáticos e cremes de barreiras (quando houver região hiperemiada), são as alternativas mais escolhidas por enfermeiros para a prevenção dessas lesões. Portanto, tem-se a importância da atuação da equipe de enfermagem no conhecimento dos fatores de risco e na utilização de medidas preventivas diárias para gerenciar o cuidado de maneira integral, principalmente com relação aos pacientes críticos internados em UTIs. Resultados: Desta forma, é necessário que a equipe de enfermagem se mantenha atualizada e capacitada para promover as ações de cuidados de maneira correta, usando as ferramentas existentes. A implementação de protocolos operacionais padrão (POPs) auxilia a manter uma rotina comum a todos os profissionais, buscando ofertar uma boa qualidade da assistência a fim de minimizar a ocorrência de eventos adversos. Conclusão: Este trabalho foi realizado com o objetivo de identificar medidas de segurança adotadas por enfermeiros para prevenir as lesões por pressão nos pacientes internados nas Unidades de Terapia Intensiva.
Jochen Lingelbach (2020) - On the Edges of Whiteness: Polish Refugees in British Colonial Africa during and after the Second World War
Authors: Schenck Marcia C.
Published: February 2022

Recensé : Jochen Lingelbach, On the Edges of Whiteness: Polish Refugees in British Colonial Africa during and after the Second World War, Oxford, Berghahn Books, 2020, 306 p.
Brian J. Peterson (2021) - Thomas Sankara. A Revolutionary in Cold war
Authors: Ramondy Karine
Published: February 2022

Recensé : Brian J. Peterson, Thomas Sankara. A Revolutionary in Cold war, Bloomington, Indiana University Press, 2021, 350 p.
Predictive Maintenance and Engineered Processes in Mechatronic Industry: An Italian Case Study
Authors: Massaro Alessandro , Cosoli Gabriele , Leogrande Angelo , Magaletti Nicola
Published: February 2022

The paper proposes the results of a research industry project concerning predictive maintenance process optimization, applied to a machine cutting polyurethane. A company producing cutting machines, has been provided with an online control system able to detect blade status of a machine supplied to a customer producing polyurethane components. A software platform has been developed for the real time monitoring of the blade status and for the prediction of the break up conditions adopting a multi-parametric data analysis approach, based on the simultaneous use of unsupervised and supervised machine learning algorithms. Specifically, the proposed method adopts a k-Means algorithm to classify bidimensional risk maps, and a Long Short Term Memory (LSTM) one to predict the alerting levels based on the analysis of the last values for some process variables. The analysed algorithms are applied to an experimental dataset.
Data Augmentation Techniques and Transfer Learning Approaches Applied to Facial Expressions Recognition Systems
Authors: Randellini Enrico , Rigutini Leonardo , Saccà Claudio
Published: February 2022

The face expression is the first thing we pay attention to when we want to understand a person’s state of mind. Thus, the ability to recognize facial expressions in an automatic way is a very interesting research field. In this paper, because the small size of available training datasets, we propose a novel data augmentation technique that improves the performances in the recognition task. We apply geometrical transformations and build from scratch GAN models able to generate new synthetic images for each emotion type. Thus, on the augmented datasets we fine tune pretrained convolutional neural networks with different architectures. To measure the generalization ability of the models, we apply extra-database protocol approach, namely we train models on the augmented versions of training dataset and test them on two different databases. The combination of these techniques allows to reach average accuracy values of the order of 85% for the InceptionResNetV2 model.
Mitigation Techniques to Overcome Data Harm in Model Building for ML
Authors: Arslan Ayse
Published: February 2022

Given the impact of Machine Learning (ML) on individuals and the society, understanding how harm might be occur throughout the ML life cycle becomes critical more than ever. By offering a framework to determine distinct potential sources of downstream harm in ML pipeline, the paper demonstrates the importance of choices throughout distinct phases of data collection, development, and deployment that extend far beyond just model training. Relevant mitigation techniques are also suggested for being used instead of merely relying on generic notions of what counts as fairness.
Reviewing Process Mining Applications and Techniques in Education
Authors: Sypsas Athanasios , Kalles Dimitris
Published: February 2022

Process Mining (PM) emerged from business process management but has recently been applied to educational data and has been found to facilitate the understanding of the educational process. Educational Process Mining (EPM) bridges the gap between process analysis and data analysis, based on the techniques of model discovery, conformance checking and extension of existing process models. We present a systematic review of the recent and current status of research in the EPM domain, focusing on application domains, techniques, tools and models, to highlight the use of EPM in comprehending and improving educational processes.
Artificial Intelligence Techniques for the Modeling of a 3G Mobile Phone Base Radio
Authors: Calo Eduardo , Vaca Gabriel , Sánchez Cristina , Jines David , Amancha Giovanny , Flores Ángel , Santana G Alex , Oñate Fernanda
Published: February 2022

The principal objective of this work is to be able to use artificial intelligence techniques to be able to design a predictive model of the performance of a third-generation mobile phone base radio, using the analysis of KPIs obtained in a statistical data set of the daily behaviour of an RBS. For the realization of these models, various techniques such as Decision Trees, Neural Networks and Random Forest were used. which will allow faster progress in the deep analysis of large amounts of data statistics and get better results. In this part of the work, data was obtained from the behaviour of a third-party mobile phone base radio generation of the Claro operator in Ecuador, it should be noted that. To specify this practical case, several models were generated based on in various artificial intelligence technique for the prediction of performance results of a mobile phone base radio of third generation, the same ones that after several tests were creation of a predictive model that determines the performance of a mobile phone base radio. As a conclusion of this work, it was determined that the development of a predictive model based on artificial intelligence techniques is very useful for the analysis of large amounts of data in order to find or predict complex results, more quickly and trustworthy. The data are KPIs of the daily and hourly performance of a radio base of third generation mobile telephony, these data were obtained through the operator's remote monitoring and management tool Sure call PRS.
ITA: The Improved Throttled Algorithm of Load Balancing on Cloud Computing
Authors: N. Le Hieu , C. Tran Hung
Published: February 2022

Cloud computing makes the information technology industry boom. It is a great solution for businesses who want to save costs while ensuring the quality of service. One of the key issues that make cloud computing successful is the load balancing technique used in the load balancer to minimize time costs and optimize costs economically. This paper proposes an algorithm to enhance the processing time of tasks so that it can help improve the load balancing capacity on cloud computing. This algorithm, named as Improved Throttled Algorithm (ITA), is an improvement of Throttled Algorithm. The paper uses the Cloud Analyst tool to simulate. The selected algorithms are used to compare: Equally Load, Round Robin, Throttled and TMA. The simulation results show that the proposed algorithm ITA has improved the processing time of tasks, time spent processing requests and reduced the cost of Datacenters compared to the selected popular algorithms as above. The improvement of ITA is because of selecting virtual machines in an index table that is available but in order of priority. It helps response times and processing times remain stable, limits the idling resources, and cloud costs are minimized compared to selected algorithms.
Performance Analysis of Energy Optimized LTE-V2X Networks for Delay Sensitive Real-Time Services
Authors: Kundu Palash , Sarkar Atunu , Sardar Bhaskar
Published: February 2022

Energy-efficient relaying technology in multi-hop data transmission can help the challenges faced in cellular Vehicle-to-Everything (cellular-V2X) communication. However, due to high demand of emergency service requirements of the systems such as Public Protection and Disaster Relief (PPDR), National Security and Public Safety (NSPS), Intelligent Transport System (ITS) etc., least energy consumed user equipment (UEs)/Vehicular-UEs are required which can either run real-time applications or relay the application data. To support these scenarios, we present a high way based system model in rural area and enhance its scope for applying single-hop direct, relay assisted multi-hop cellular-V2X and Store-CarryForward (SCF) modes of uplink data transmission. We compare the performance of three modes of transmissions in terms of overall energy consumption and overall transmission delay with specific delay constraints of VoIP and video applications. With the varying cell radius and irrespective type of applications, our numerical results, validated with ns-3 show that, least energy is always consumed in SCF mode due to its inherent property but applications suffer a lot due to high delay incurred whereas singlehop direct mode shows the reverse. When compared with cellular-V2X mode, overall transmission delay for single-hop direct mode is acceptable within cell radius 600m but beyond that, relay assisted multi-hop cellular-V2X mode always outperforms (with low latency and moderate energy consumption).
Adaptive Random Spatial based Channel Estimation (ARSCE) for Millimeter Wave MIMO System
Authors: M Vadgave Rajkumar , S Manjula , Vishwanath T S
Published: February 2022

Millimeter-wave and mMIMO communications are the most essential success systems for next-generation wireless sensor networks to have enormous amounts of accessible throughput and spectrum. Through installing huge antenna arrays at the base station and performing coherent transceiver processing, mMIMO is a potential technology for enhancing the bandwidth efficiency of wireless sensor networks. The use of mmWave frequencies for mMIMO systems solves the problem of high path-loss through offering greater antenna gains. In this work, we provide a design with a random spatial sample structure that incorporates a totally random step before the analogue is received. It contains a totally random step before the analogue received signals are sent into the digital component of the HBF receiver. Adaptive random spatial based channel estimation (ARSCE) is proposed for channel session measurement collection, and an analogue combiner with valves has been used to estimate the signals at each receiving antenna. The proposed optimization problem formulation attempts to discover the orientations and gains of wideband channel routes. In addition, our proposed model has compared to various state-of-art techniques while considering error minimization.
On The Performance of Intrusion Detection Systems with Hidden Multilayer Neural Network using DSD Training
Authors: Thua Huynh Trong , Thanh Nguyen Hoang
Published: February 2022

Deep learning applications, especially multilayer neural network models, result in network intrusion detection with high accuracy. This study proposes a model that combines a multilayer neural network with Dense Sparse Dense (DSD) multi-stage training to simultaneously improve the criteria related to the performance of intrusion detection systems on a comprehensive dataset UNSW-NB15. We conduct experiments on many neural network models such as Recurrent Neural Network (RNN), Long-Short Term Memory (LSTM), Gated Recurrent Unit (GRU), etc. to evaluate the combined efficiency with each model through many criteria such as accuracy, detection rate, false alarm rate, precision, and F1-Score.
Pandemic Information Dissemination Web Application: A Manual Design for Everyone
Authors: Jáuregui O. Nolasco , Téllez L.A. Quezada
Published: February 2022

The aim of this research is to generate a web application from an inedited methodology with a series of instructions indicating the coding in a flow diagram. The primary purpose of this methodology is to aid non-profits in disseminating information regarding the COVID-19 pandemic, so that users can share vital and up-to-date information. This is a functional design, and a series of screenshots demonstrating its behaviour is presented below. This unique design arose from the necessity to create a web application for an information dissemination platform; it also addresses an audience that does not have programming knowledge. This document uses the scientific method in its writing. The authors understand that there is a similar design in the bibliography; therefore, the differences between the designs are described herein; it is very important to point out that this proposal can be taken as an alternative to the design of any web application.
Performance Evaluation of Big Data Processing of Cloak-Reduce
Authors: Diarra Mamadou , B. Tiendrebeogo Telesphore
Published: February 2022

Big Data has introduced the challenge of storing and processing large volumes of data (text, images, and videos). The success of centralised exploitation of massive data on a node is outdated, leading to the emergence of distributed storage, parallel processing and hybrid distributed storage and parallel processing frameworks. The main objective of this paper is to evaluate the load balancing and task allocation strategy of our hybrid distributed storage and parallel processing framework CLOAK-Reduce. To achieve this goal, we first performed a theoretical approach of the architecture and operation of some DHT-MapReduce. Then, we compared the data collected from their load balancing and task allocation strategy by simulation. Finally, the simulation results show that CLOAK-Reduce C5R5 replication provides better load balancing efficiency, MapReduce job submission with 10% churn or no churn.
Sensing Method for Two-Target Detection in Time-Constrained Vector Gaussian Channel
Authors: Fahad Muhammad , R. Fuhrmann Daniel
Published: February 2022

This paper considers a vector Gaussian channel of fixed identity covariance matrix and binary input signalling as the mean of it. A linear transformation is performed on the vector input signal. The objective is to find the optimal scaling matrix, under the total time constraint, that would: i) maximize the mutual information between the input and output random vectors, ii) maximize the MAP detection. It was found that the two metrics lead to different optimal solutions for our experimental design problem. We have used the Monte Carlo method for our computational work.
Offline Signature Recognition via Convolutional Neural Network and Multiple Classifiers
Authors: Alsuhimat Fadi Mohammad , Mohamad Fatma Susilawati
Published: February 2022

One of the most important processes used by companies to safeguard the security of information and prevent it from unauthorized access or penetration is the signature process. As businesses and individuals move into the digital age, a computerized system that can discern between genuine and faked signatures is crucial for protecting people's authorization and determining what permissions they have. In this paper, we used Pre-Trained CNN for extracts features from genuine and forged signatures, and three widely used classification algorithms, SVM (Support Vector Machine), NB (Naive Bayes) and KNN (k-nearest neighbors), these algorithms are compared to calculate the run time, classification error, classification loss, and accuracy for test-set consist of signature images (genuine and forgery). Three classifiers have been applied using (UTSig) dataset; where run time, classification error, classification loss and accuracy were calculated for each classifier in the verification phase, the results showed that the SVM and KNN got the best accuracy (76.21), while the SVM got the best run time (0.13) result among other classifiers, therefore the SVM classifier got the best result among the other classifiers in terms of our measures.
A Secure DNA Cryptosystem based on Steganography and Indexing Cipher
Authors: Barakat Tamer , Mahmoud Nahed , A. Ali Ihab , Hamdi Mohamed
Published: February 2022

One of the essential challenges nowadays; is how to secure data with the increase of its volume as well as its transmission rate. The most frequent approach used to give a high degree of protection, preserve data from hackers, and accomplish multilayer security is steganography combined with encryption. DNA (Deoxyribonucleic Acid) is considered as a new promising carrier for data security while achieving powerful security and maximum protection. In this paper, a secure DNA cryptosystem model which combines steganography with encryption is introduced and categorized into two layers. The original data are hidden in the first layer into a reference DNA based on the insertion method to obtain a fake DNA sequence. In the second layer, this fake DNA sequence, which is the first layer's output, is encrypted using an indexing cipher to produce an encrypted message in the form of indexes. The proposed model guarantees multilayer security to the secret data with high performance and low-time wasting. It addresses the long-generation key problem of the DNA cryptography. The experimental results assess and validate the theoretical security analysis and model performance.
Hybrid Practices in Global Software Development: A Systematic Literature Review
Authors: Camara Rafael , Monte Iury , Alves Annelyelthon , Marinho Marcelo
Published: February 2022

Although agile methods in their purest way fit several companies, it has been a challenge to perform them in environments with distributed teams developing large software applications. Contractual items, for projects under development for external organizations, introduce additional complexities for pure agilebased approaches. The majority of global teams and companies use hybrid development practices that combine different development methods and frameworks. This research provides results from an empirical field study on how the hybrids practices are adopted in Global Software Development (GSD) projects. A systematic literature review was conducted to capture the status of combining agile with plan-driven in GSD projects. The results were limited to peer-reviewed conference papers or journal articles, published between 2001 and 2020. The present study selected 37 papers from five different bibliographic databases. In the end, 16 practices were summarized and described as hybrid by GSD projects. Based on the findings of this study, the authors can conclude that the contribution of this study is not only limited to identifying how hybrid development practices are applied in GSD but also allowing that practitioners can have a basis for adapting their development methods.
Study on Technical Focuses and Sampling Coverage Strategy of Airborne Software Reviews
Authors: Sun Jinghua , Edwards Samuel , Connelly Nic , Bridge Andrew , Zhang Lei
Published: February 2022

Airborne software is invisible and intangible, it can have a significant impact on the safety of the aircraft. However, it cannot be exhaustively tested, and can only be assured through a structured, process, activity, and objective-based approach. This paper studied the similarities and differences of software review policies of the four selected National Airworthiness Authorities (NAAs) by using a comparative approach and analysed the general certification basis of specific regulation clauses from the International Civil Aviation Organization Conventions to each contracting States’ regulations by a traceability method. Then analyzed the development processes and objectives applicable to different software levels based on RTCA/DO-178C. Identified 82 technical focus points based on each airborne software development subprocess, then created a Process Technology Coverage matrix to demonstrate the technical focuses of each process. Developed an objective-oriented top-down and bottom-up sampling strategy for the 4 software Stage of Involvement reviews by taking into account the frequency and depth of involvement. Finally, created the Technology Objective Coverage matrix, which can support the reviewers to perform the efficient risk-based SOI reviews by considering the identified technical points, thus to ensure the safety of the aircraft from the software assurance perspective.
An Intersemiotic Translation of Normative Utterances to Machine Language
Authors: Addis Andrea , Giuliana Loddo Olimpia
Published: February 2022

Programming Languages (PL) effectively performs an intersemiotic translation from a natural language to machine language. PL comprises a set of instructions to implement algorithms, i.e., to perform (computational) tasks. Similarly to Normative Languages (NoL), PLs are formal languages that can perform both regulative and constitutive functions. The paper presents the first results of interdisciplinary research aimed at highlighting the similarities between NoL (social sciences) and PL (computer science) through everyday life examples, exploiting Object-Oriented Programming Language tools and an Internet of Things (IoT) system as a case study. Given the pandemic emergency, the urge to move part of our social life to the digital world arose, together with the need to effectively transpose regulative rules and constitutive rules through different strategies for translating a normative utterance expressed in natural language.
My Trepidation: Personal Ethical Pitfalls and Dilemmas in the Scholarship of Teaching and Learning
Authors: Ntombela Berrington
Published: February 2022

Located within the broad framework of critical approach and critical pedagogy, this paper reflects on personal experiences of being caught within the complexities of research ethics in the scholarship of teaching and learning. The paper presents multiplicities in the interpretation and application of ethical procedures in the drive to maintain rigour and transformation in teaching and learning research. Whilst advocating for adherence to research ethics, the paper problematises resistance to change often mounted by those in power in the name of ethics. By implication, the paper exposes the technocratic utility of research ethics at the expense of emancipation and at the same time argues for contextual interpretation and application of ethical procedures for the emancipation of the marginalised. The paper is conceptualised and presented in the tradition of autoethnographic thick description. The findings reveal differences of opinion about the adopted ethical procedures. Whilst on the one hand, many participants identify with the ethical spirit adopted by the researcher, on the other hand, some participants rejected the ethical stance of the researcher. The conclusions suggest that the adoption of covert ethical approaches coupled with critical pedagogy in the context of the scholarship of teaching and learning are most likely to attract pitfalls in research ethics.
Navigating the Contours of Ethical Research in Higher Education: An African Perspective
Authors: Madondo Elvis
Published: February 2022

This study explores the plethora of challenges encountered in ensuring that research conducted in higher education institutions (HEIs) in Africa is ethical and morally unobjectionable. The study reflects on the roles and accountabilities of various stakeholders in contributing to the various challenges, either directly or indirectly. Data were collected using a narrative review of literature. Several challenges militate against the conduct of ethically sound research. The challenges can be categorised at two levels: the individual level and the system level. They include but are not limited to the lack of ethical awareness among emerging researchers, researchers not embracing ethics as their full responsibility, and the prevalence of a wide knowledge gap between researchers and participants. On the part of HEIs, challenges such as the lack of functional ethics committees, institutions’ failure to improve ethical literacy among emerging researchers, and a lack of mechanisms to monitor researchers’ conducts during the course of studies, particularly in empirical research, have been identified. A focus on the wider African research space illuminates such challenges as language barriers, diverging cultural and religious practices, rules and regulations of the land, and lower literacy levels in some parts of the continent. To mitigate these challenges, we recommend that HEIs should prioritise the conduct of ethical research through increased funding, through the institution of monitoring mechanisms, and through ensuring that highly and appropriately qualified personnel are constitutive of ethics committees to ensure best practice.
Chlorogenic acid and kojic acid as anti-hyperpigmentation: in silico study
Authors: Yudantara I Made Agus , Cahyani Ni Ketut Nitya , Saputra Made Agus Widiana , Dewi Ni Kadek Diah Parwati
Published: February 2022

Hyperpigmentation is a skin problem caused by excessive melanin production due to continuous ultraviolet (UV) radiation. Kojic acid inhibiting melanin synthesis by tyrosinase enzyme is a prevalent treatment for hyperpigmentation. This study aims to determine the potential of chlorogenic acid and kojic acid as an anti-hyperpigmentation against tyrosinase using in silico molecular docking. The docking process involved optimizing chlorogenic acid and kojic acid structures, preparing tyrosinase protein (PDB ID: 5M8O), validating the molecular docking method, and docking of chlorogenic acid and kojic acid on tyrosinase. The binding energy of chlorogenic acid and kojic acid were -4.59 kcal/mol and -3.75 kcal/mol, while the binding energy of 0TR native ligand was -5.02 kcal/mol. The interaction of chlorogenic acid to tyrosinase involved ARG 321 and ARG 374 residues.  The results suggest that chlorogenic acid and kojic acid has the potential as anti-hyperpigmentation agents through inhibition of the tyrosinase enzyme.
Knowledge, Attitude, and Practice of Middle East and North African Populations toward COVID -19
Authors: N Atayb Hisham , Ibrahim Mariam Abbas , AbouElfetouh Alaa , Rahamtalla Khedir Genawi Khalid , Shawgi Jaweesh Rashad , S Dabbous Fatma , Ouanes Zouhour , El Kadmiri Nadia , Amrani Iman , Ben Fredj Manel , M. Mehanna Mohammed , Abujilban Sanaa , Emahbes Taher , Bechir Ahmat Annour , M. Elhassan Mogahid , K Al-Delaimy Wael
Published: February 2022

Objective: This study aimed to assess the basic knowledge, attitude, and practice among people from nine Middle Eastern and North African countries about COVID-19 symptoms, modes of transmission, acceptance of recovered patients, and practice of some basic preventive measures.

Methods: In this cross-sectional study, data was collected from 3515 participants in nine Middle Eastern and North African countries using an online self-administered questionnaire to assess participants' basic knowledge, attitude, and practice of some preventive measures related to COVID-19.

Results: In this study, most of the participants were aware of the basic preventive measures against coronavirus. Despite this awareness, the practice of these measures was low, with a significant variation among participating countries and gender. Social media was the major source of their information. More than half of participants (53.2%) would not accept recovered patients in the community without protective measures, and the majority (84%) of them believed that people living in hot and sunny areas are less susceptible and affected by COVID-19.

Conclusion: Our findings indicate that participants of Middle Eastern and North African countries have relatively good knowledge and attitudes regarding COVID-19. Still, they have unsatisfactory preventive practices, and more than half of them refuse to accept recovered patients as normal in the community without protective measures.
ANALISIS KINERJA KEUANGAN PERUSAHAAN BANKKALTIMTARA SEBAGAI SYARAT PENGAJUAN INITIAL PUBLIC OFFERING (IPO) DI BURSA EFEK INDONESIA
Authors: Ovigeria Subroto Sinaga
Published: February 2022

The capital market is one way of obtaining additional capital for a companyto develop its business. One of the things done in the capital market is sellingcompany ownership through the sale of shares. A company must meet certainrequirements in order to sell its initial public offering / IPO to the Indonesian StockExchange (IDX)PT. BPD Kaltim Kaltara (Bankkaltimtara) is one of the largest banksoperating in East and North Kalimantan. This bank has been operating for a longtime and is widely recognized by the public in these two regions. This bank also hasa vision to reach services throughout East Kalimantan and North Kalimantan.The author conducts a financial performance analysis to determine whetherBankkaltimtara can meet the requirements to list its shares on the IDX. In addition,the authors also look at developments in financial performance and conduct ananalysis of trends in financial performance. This is expected to provide an overviewfor us, including potential investors, to assess the performance of Bankkaltimtara.
PENGARUH BAURAN PEMASARAN TERHADAP KEPUTUSAN PEMBELIAN KONSUMEN PADA MINIMARKET LINTANG MART BALIKPAPAN
Authors: Rahajeng Cahyaning Putri Cipto., SE., M.EK
Published: February 2022

Penelitian ini bertujuan untuk mengetahui pengaruh harga, kualitas pelayanan, suasana toko danlokasiterhadap keputusan pembelian konsumen pada Minimarket Lintang Balikpapan. Respondendalam penelitian ini sebanyak 163 orang, adapun metode yang digunakan dalam pengambilansampel adalah purposive sampling. Metode analisis data dilakukan dengan regresi linearberganda menggunakan software SPSS 20. Hasil uji regresi menunjukkan bahwa variabel harga,kualitas pelayanan, suasana took dan lokasi secara simultan berpengaruh signifikan terhadapkeputusan pembelian konsumen pada Minimarket Lintang Balikpapan. Hasil uji secara parsialharga, suasana toko dan lokasi berpengeruh signifikan terhadap keputusan pembelian konsumen,sedangkan kualitas pelayanan tidak berpengaruh signifikan terhadap keputusan pembeliankonsumen pada Minimarket Lintang Balikpapan
EKONOMI INDONESIA DAN PERMASALAHANNYA
Authors: Samuel Banurea
Published: February 2022

Jurnal ini berangkat dari suatu kerangka teori, gagasan para ahli, ataupunpemahaman penulis berdasarkan pengalamannya, kemudian dikembangkan menjadipermasalahan – permasalahan beserta pemecahan – pemecahannnya yang diajukan untukmemperoleh pembenaran (verivikasi) dalam bentuk dukungan data emperis di lapangan.Pemerintah adalah ibarat seorang nahkoda yang sedan menjalankan sebuah kapal. Di dalam jangka pendek ia harus dapat menjaga kondisi kapalnya akan terhindardari berbagai ancaman selama perjalanan. Sedangkan di dalam jangka panjang, nahkodatersebut harus berusaha agar kapalnya dapat mencapai tujuan yang diinginkan /dicita-citakan. Tentu saja dalam kenyataannya perjalanan kapal yang dinahkodainya tidahsemulus yang direncanakan, banyak sekali rintangan dan masalah yang selalu mengintai danharus siap dipecahkan begitu muncul menghadangnya. Penelitian ini bertujuan untuk mengetahui perkembangan Ekonomi Indonesia DanPermasalahannya yang timbul didalamnya dimana Hasil penelitian ini menunjukkanPermasalahan utama dalam perekonomian yang selalu dihadapi oleh setiap negara.permasalahan tersebut adalah sebagai berikut: (1) Masalah pertumbuhan ekonomi (2)Masalah ketidakstabilan ekonomi (3) Masalah pengangguran (4) Masalah KenaikanHarga-harga (Inflasi) (5) Masalah Neraca Perdagangan dan Neraca Pembayaran.
ANALISIS PENGARUH KUALITAS PELAYANAN TERHADAP KEPUASAN NASABAH PT. BANK RAKYAT INDONESIA, TBK (STUDI KASUS MAHASISWA POLITEKNIK NEGERI BALIKAPAPAN)
Authors: Bambang Jati  , Ida Suriana
Published: February 2022

Penelitian ini menjelaskan pengaruh kuliatas pelayanan terhadap kepuasan nasabah. Penelitian inidirancang untuk menguji tingkat pelayanan terhadap kepuasan nasabah dan untuk mengetahuiapakah kualitas pelayan berupa wujud fisik (tangibles), kehandalan (reliability), daya tanggap(responsiveness), jaminan (assurance) dan kepedulian (emphaty) berpengaruh pada kepuasannasabah. Jumlah sampel dalam penelitian ini adalah sebanyak 194 mahasiswa dimana jumlahtersebut adalah jumlah mahasiswa yang bersedia mengisi kuesioner yang telah diberikan.Jumlah sampel tersebut dengan tingkat kesalahan 5%. Dari hasil penelitian secara parsialterdapat dua variabel independen yang berpengaruh secara signifikan terhadap kepuasanpelanggan yaitu responsiveness dan empati. Kata kunci : wujud fisik, kehandalan, daya tanggap, jaminan dan kepedulian.
PENGARUH BAURAN PEMASARAN TERHADAP KEPUTUSAN PEMBELIAN PADA TOKO BUKU KARISMA BALIKPAPAN
Authors: Finadella Yeriska Purnomo  , Sasmoyo Dimas Radityo., SE., MM
Published: February 2022

Tujuan penelitian ini adalah untuk mengetahui dan menganalisis pengaruh baik secarasimultan maupun parsial faktor-faktor bauran pemasaran yang terdiri dari produk (X1),harga (X2), lokasi (X3), dan promosi (X4) terhadap keputusan pembelian (Y) pada TokoBuku Karisma Balikpapan serta untuk mengetahui variabel bauran pemasaran yangberpengaruh paling dominan terhadap keputusan pembelian. Metode penelitian yangdigunakan yaitu kuantitatif deskriptif dengan sumber data primer. Teknik pengumpulan datadengan menggunakan kuesioner, jumlah responden yang digunakan sebanyak 115 respondendan dianalisis menggunakan SPSS versi 20.0. Metode analisis yang digunakan yaitu analisisregresi linier berganda. Berdasarkan hasil uji F menunjukkan adanya pengaruh secarasignifikan antara variabel produk, harga, lokasi, dan promosi terhadap keputusan pembelianpada Toko Buku Karisma Balikpapan. Sedangkan, hasil uji t menunjukkan bahwa hanyavariabel produk, harga, dan promosi berpengaruh signifikan terhadap keputusan pembelian,sedangkan variabel lokasi tidak berpengaruh signifikan terhadap keputusan pembelian padaToko Buku Karisma Balikpapan.
ANALISIS PERHITUNGAN HPP BERDASARKAN METODE FULL COSTING DAN VARIABLE COSTING SEBAGAI DASAR DALAM MENENTUKAN HARGA JUAL PADA UKM. UD. MUTIARA FURNITUR BALIKPAPAN
Authors: Fauziah Yuspyani  , Adi Prihanisetyo
Published: February 2022

Penelitian ini bertujuan untuk mengetahui perhitungan HPP HPP menurut perusahaan, untukmengetahui perhitungan HPP apabila menggunakan metode yang baku, dan untuk mengetahuiperbandingan dari kedua metode tersebut serta pengaruhnya terhadap harga jual. Teknikpengumpulan data yang digunakan dalam penelitian ini adalah observasi, wawancara, dandokumentasi. Penelitian ini termasuk penelitian kuantitatif, data yang digunakan, data primer.Hasil dari penelitian ini menunjukkan adanya kelemahan dalam perhitungan HPP perusahaan.Berdasarkan perbandingan metode full costing dan variable costing dalam perhitungan HPPperusahaan, metode perusahaan menghasilkan nilai nominal lebih rendah dibandingkan metodefull costing dan variable costing. Penelitian ini menyimpulkan bahwa perhitungan HPP yangdilakukan perusahaan kurang tepat.
Studi Kelayakan Pendirian Usaha Penjualan dan Penggilingan Daging Sapi
Authors: Riski Meita Sondang
Published: February 2022

Tujuan dari penelitian ini adalah menganalisis  kelayakan pendirian  usaha jasa  penjualan dan penggilingan daging sapi  di Sangatta dilihat dari keuntungan finansial. Beberapa kriteria investasi yang digunakan untuk menentukan diterima atau tidaknya sesuatu usulan usaha adalah Net Present Value (NPV), IRR (Internal Rate of Return),  BEP (Break Even Point).  Hasil penelitian di dapat NPV (Net Present Value) yang dapat dicapai selama lima tahun adalah sebesar Rp. 7.181.879.315,-  Keuntungan ini sangat  baik dengan memberikan nilai positif yang cukup tinggi, sehingga usaha proyek ini baik dan layak untuk dikerjakan. IRR sebesar  21,30 % dan Net B/C =  50,2.  Oleh karena nilai Net B/C > 1, maka  memberikan arti bahwa gagasan/usaha proyek tersebut layak untuk dikerjakan. Studi kelayakan ini menyimpulkan bahwa BEP dapat tercapai setelah 10 bulan 20 hari  dikarenakan  BEP dapat selesai waktunya lebih cepat dari pembayaran  cicilan  di bank, maka  proyek  tesrsebut  dapat direkomendasikan untuk dikerjakan.
Pengaruh Kompetensi dan Lingkungan Kerja Terhadap Kinerja Karyawan Pada PT. SMART MULTIFINANCE Cabang Sangatta
Authors: Khaerani Inda
Published: February 2022

Tujuan dari penelitian ini adalah untuk menganalisis pengaruh kompetensi , lingkungan kerja terhadap kinerja karyawan pada PT. Smart Multi Finance Cabang Sangatta. Penelitian ini menggunakan metode kuantitatif yakni menguji dan menganalisis data dengan perhitungan angka-angka dan kemudian menarik kesimpulan atas pengujian tersebut. Objek yang diteliti adalah keseluruhan karyawan pada PT. Smart Multi Finance Cabang Sangatta yang berjumlah 34 orang.           Dari hasil analisa diketahui bahwa : pertama, terdapat pengaruh yang signifikan antara kompetensi terhadap kinerja karyawan pada PT. Smart Multi Finance Cabang Sangatta; kedua, terdapat pengaruh yang signifikan antara lingkungan kerja terhadap kinerja karyawan pada PT. Smart Multi Finance Cabang Sangatta; ketiga, berdasarkan uji F terdapat pengaruh yang signifikan antara kompetensi dan lingkungan kerja terhadap kinerja karyawan pada PT. Smart Multi Finance Cabang Sangatta.
Analisis Faktor-Faktor yang Mempengaruhi Loyalitas Pelanggan Padan NAEM 555 CUCIAN
Authors: Mardatillah Mardatillah
Published: February 2022

This research aims to study and analyze the factors that influence customer loyalty at Naem 555 Laundry. This type of research is quantitative descriptive by using a sample of 103 people. The results of this study indicate that simultaneous variables of satisfaction, emotional bonding, trust, choice reduction and habit and history with company simultaneously have a significant effect to customer loyalty. Partially, satisfaction, trust, and choice reduction and habit variables have a significant effect on customer loyalty while the partial variables of emotional bonding and history with  company are not significant to customer loyalty. The variable that has the most dominant influence on customer loyalty is the satisfaction variable.