bluuebunny/crossref_metadata_2025 huggingface dataset:
Substantiation for the Creation of Production of Synthetic Motor Fuel from Coal in Ukraine
Authors:   Research Centre for Industrial Problems of Development of NAS of Ukraine, Khaustova Viktoriia Ye. , Kyzym Mykola O. ,   Research Centre for Industrial Problems of Development of NAS of Ukraine, Kotliarov Yevhen I. ,   Research Centre for Industrial Problems of Development of NAS of Ukraine, Shulga Ihor V. ,   Research Centre for Industrial Problems of Development of NAS of Ukraine, Hubarieva Iryna O. ,   Research Centre for Industrial Problems of Development of NAS of Ukraine, Shpilevskyi Volodymyr V. ,   Research Centre for Industrial Problems of Development of NAS of Ukraine, Salashenko Tetiana I. ,   Research Centre for Industrial Problems of Development of NAS of Ukraine, Kostenko Dmytro M. ,   Research Centre for Industrial Problems of Development of NAS of Ukraine, Khaustov Mykyta M. ,   Research Centre for Industrial Problems of Development of NAS of Ukraine
Published: January 2025

The monograph is devoted to the issues of improving the energy security of Ukraine by organising the production of motor fuels from non-oil raw materials, namely, hard coal and lignite. A conceptual and logical model of synthetic motor fuel production in Ukraine from coal is built, the raw material potential and technological prerequisites for the creation of a synthetic motor fuel sub-sector in Ukraine are assessed. In separate sections of the monograph, technological schemes for processing hard coal and lignite are substantiated, material balances of the relevant processes are calculated, and on this basis, a feasibility study of projects for the production of synthetic motor fuel in the Eastern, Central and Western regions of Ukraine is carried out. The calculations have proved the economic feasibility of the proposed projects. Recommendations on the creation of a mechanism of State regulation and support for the production of synthetic motor fuels in the war and post-war periods are given. The monograph will be useful for researchers and practical workers, lecturers and postgraduate students of economic and technical specialities of higher education institutions, as well as specialists in the recovery and development of the Ukrainian economy in the post-war period.
Unsecured Remote Desktop Protocol (RDP) Access: A Gateway for Ransomware Attacks and Corporate Extortion
Authors: Surendra Vitla
Published: January 2025

The Remote Desktop Protocol (RDP) has become a critical tool for remote access in modern organizations, particularly with the rise of remote work and digital transformation. However, unsecured RDP connections have emerged as a significant security vulnerability, frequently exploited by cybercriminals to launch attacks, including ransomware. These attacks often leverage exposed RDP ports and weak authentication methods to gain unauthorized access to systems, compromising sensitive data and causing widespread disruption. This paper explores the evolution of RDP security, detailing the methods used by attackers, real-world case studies, and the growing trend of exploiting RDP vulnerabilities for malicious purposes. Additionally, we discuss mitigation strategies such as multi-factor authentication (MFA), zero trust security models, and privileged access management (PAM) to secure RDP environments. The paper also highlights the role of Identity and Access Management (IAM) solutions in preventing unauthorized access to RDP connections and outlines future trends in RDP security. By examining current practices and future solutions, this paper provides a comprehensive understanding of the RDP security landscape and the importance of robust protection strategies to safeguard organizational infrastructure against increasingly sophisticated cyber threats.
Machine Learning-Based Prediction of U.S. CO2 Emissions: Developing Models for Forecasting and Sustainable Policy Formulation
Authors: Anonna Farhana Rahman , Mohaimin MD Rashed , Ahmed Adib , Nayeem Md Boktiar , Akter Rabeya , Alam Shah , Nasiruddin Md , Hossain Md Sazzad
Published: January 2025

The exponential escalation of carbon dioxide (CO2) emissions in the U.S. presents a pressing environmental challenge with substantial implications for climate change and public health. The principal objective of this study was to devise robust machine learning algorithms particularly designed for forecasting CO2 emissions in the United States. This focused exclusively on CO2 emission data pertinent to America, reflecting the economic, unique environmental, and regulatory context of the nation. The dataset for analysis consisted of a broad-based set of information focused on the main contributors of CO2 emissions in the United States, ranging from energy consumption and industrial activity to transportation and historical CO2 emission data. The energy consumption data included facts on electricity generated, fuel consumed, and absolute energy consumption among different sectors of the economy, and industrial activities information provides data on specific outputs from such processes and their emissions. It also included transportation facts on vehicle trends, fuel intensity, and energy-related emissions associated with the sector. These three datasets have been garnered from reliable resources, including the US. These range from detailed EPA emissions inventories and energy reports from the U.S. The analyst deployed credible algorithms such as Random Forest, Logistic Regression, and Support Vector Classifier which had different strengths that can be leveraged based on characteristics of the dataset. According to their accuracy scores, the Random Forest model led the race compared to the other two models, with a higher accuracy rate. With such large integrations of machine learning predictions into climate policy, great opportunities might develop vis-à-vis sustainable development goals in the USA. Advanced analytics will let the policy analyst capture emission and resource trends with greater insight than ever before into the effectiveness of existing regulations; this will let it plug into the SDGs on Climate Action, Sustainable Cities, and Responsible Consumption. For enhancing environmental monitoring systems' efficiency, environmental planning should be incorporated with machine learning models.
Understanding Negative Equity Trends in U.S. Housing Markets: A Machine Learning Approach to Predictive Analysis
Authors: Jui Afrin Hoque , Alam Shah , Nasiruddin Md , Ahmed Adib , Mohaimin MD Rashed , Rahman Md Khalilor , Anonna Farhana Rahman , Akter Rabeya
Published: January 2025

In the intricate landscape of the U.S. housing market, negative equity has emerged as a significant concern for homeowners, lenders, and policymakers alike. This phenomenon, characterized by homeowners owing more on their mortgages than the current value of their homes, can have far-reaching economic and social implications.  The main goal of this research project was to develop machine learning models that can effectively predict negative equity trends in U.S. housing markets. This involved a multi-faceted approach that encompasses data collection, model development, and validation to ensure the accuracy and reliability of predictions. The historical housing market data used for this research covers various regions across the United States, from urban to suburban and rural, to provide diversified dynamics in the markets. The dataset utilized for this analysis comprises a comprehensive collection of variables relevant to understanding negative equity trends in the U.S. housing market. It includes historical housing prices, which reflect property values across various regions, mortgage rates that provide insights into borrowing costs, and key economic indicators such as employment rates, inflation, and consumer confidence indices. The data has been sourced from reputable platforms, including public records from county assessors, real estate platforms like Zillow and Redfin for transaction data, and government databases such as the Federal Housing Finance Agency (FHFA) and the U.S. Bureau of Labor Statistics (BLS). Among the numerous algorithms, this study used proven algorithms, notably, Logistic Regression, Random Forest, and XGB Classifier, which have their strengths and applications. The standout performer is the XG-Boost model, achieving impressive accuracy, with both superior precision and recall, resulting in a high F1 score, underscoring its superior predictive power and reliability in the context of this analysis.  The consolidation of machine learning-powered predictions into the analysis of the U.S. housing market has far-reaching implications for market stability and resilience.  By tapping into the power of advanced algorithms to identify patterns and trends related to negative equity, shareholders policymakers, lenders, and community organizations make better decisions that address vulnerabilities within the sector proactively.
Adaptation Of First-Year Students And Possibilities For Ensuring It
Authors: Kristina Samašonok  , Agnė Šimkienė  , Rūta Valentukevičiūtė
Published: January 2025

The article analyses the factors influencing adaptation in the study process from a theoretical point of view and justifies the prerequisites for ensuring successful adaptation. The aim of the research is to investigate the problem areas of adaptation of first-year students in the study process and to provide ways of solving them. Analytical descriptive, quantitative and statistical research methods were applied. Using a quantitative research strategy (questionnaire survey), the researcher found out the factors influencing the adaptation of the first-year students of Lithuanian higher education institutions (n=144) in the study process, identified the causes of adaptation difficulties and, on the basis of the research participants' assessments, envisaged the possibilities of management of the processes of ensuring the successful adaptation of first-year students. As the results of the study showed, almost a third of the participants had difficulties adapting to the study arrangements at the beginning of their studies. The highest mean scores indicate that the lack of precise instructions for assignments, the large number of assignments, studying too intensively in a modular system, and the excessive study load in lectures and preparation for exams are some of the external difficulties that first-year students encountered at the beginning of their studies. Meanwhile, the lack of the ability to rationalise the allocation of time for lectures, homework and leisure, as well as the inability to concentrate during lectures and the lack of motivation to study, were identified as some of the most important personal difficulties that first-year students encountered at the start of their higher education studies. According to the research participants, providing precise and clear instructions and consistent requirements for tasks, implementing and ensuring feedback on the tasks completed, organising reports with precise deadlines and proper workload distribution are some of the possible ways to ensure the successful adaptation of first year students to the study process. The results of the study will have a lasting value in the scientific debate in providing guidelines for the management of the successful adaptation of students in the first year of study at higher education institutions.
NIGERIAN ETHNICITY CLASSIFICATION THROUGH FUSED FEATURES FROM MOBILENET-V2 AND LOCAL BINARY PATTERN GUIDED BY ATTENTION MECHANISM
Authors: Tanko Suleiman Aliyu , Ibrahim M. , Aliyu A. A. , Abdulkadir S. , Ahmad M. A. , Ahmed A. A. , Umaru I. A.
Published: January 2025

Our face plays a vital role in many human-to-human encounters and is closely linked to our identity. Significant promise exists for the automatic recognition of facial features, opening the door to hands-free alternatives and innovative uses in computer-human digital interactions. Deep learning techniques have led to a notable increase in interest in the field of face picture analysis in recent years, especially in applications like biometrics, security, and surveillance. Due to feature overlaps and dataset under-representation, ethnicity classification in computer vision is still a difficult task, particularly for African populations. This study explores Nigerian ethnicity classification, focusing on the three major groups—Hausa, Igbo, and Yoruba—using a hybrid model that integrates MobileNetV2, Local Binary Patterns (LBP), and an Attention Mechanism. The hybrid model achieved an overall classification accuracy of 87%, significantly outperforming benchmarks, particularly in Igbo and Yoruba classifications. While the Yoruba group demonstrated the highest accuracy, overlaps between Hausa and Igbo highlight areas for refinement. This research advances the field by addressing dataset imbalances, incorporating innovative feature fusion, and improving the inclusivity of computer vision models. It has practical implications for identity verification, security, and demographic research while emphasizing the importance of culturally sensitive AI systems tailored to underrepresented populations. Future work includes expanding datasets, enhancing model architectures, and exploring interdisciplinary approaches to further refine ethnicity classification.
CHARACTERISTICS OF APPLE CULTIVARS SUITABLE FOR ORGANIC PRODUCTION
Authors:   Institute of Agriculture - Kyustendil, Agricultural Academy, Sofia, Bulgaria, Dimitrova Stanislava , Sotirov Dimitar ,   Institute of Agriculture - Kyustendil, Agricultural Academy, Sofia, Bulgaria
Published: January 2025

The study aimed to make a more detailed assessment of ten scab resistant apple cultivars (ʹBesaparaʹ, ʹMarlenaʹ, ʹGoranaʹ, ʹMartinikaʹ, ʹElegiaʹ, ʹSiyanaʹ, ʹGold Mileniumʹ, ʹFree Redstarʹ, ʹMelfreeʹ and ʹBrinaʹ) in terms of their requirements for the temperature conditions, flowering, ripening, yield and fruit quality. It was found that the temperature sums (> 5oC) from the beginning of vegetation to the beginning of flowering in the studied cultivars varied from 137.2 to 180.9°C, and temperature sums (>10oC) from the end of flowering to the fruit ripening varied from 2114.5 to 2662.8°C. The relationship between average daily air temperatures and phenological phases was very strong. All cultivars had high productive potential and produced very good quality fruit.
THE STRATEGIC CONTEXT FOR THE CIRCULAR ECONOMY AT THE EUROPEAN LEVEL
Authors:   Institute of Research for Agriculture Economy and Rural Development, Bucharest, Romania., Giucă Andreea Daniela , Rodino Stealiana ,   Institute of Research for Agriculture Economy and Rural Development, Bucharest, Romania., Gheorghe Carmen ,   National Institute for Economic Research "Costin C. Kiritescu", Romanian Academy
Published: January 2025

The circular bioeconomy is an innovative concept, focused on the integration of the principles of the circular economy in the use of biological resources, including in agriculture, forestry and other industries based on natural resources. Although in some EU countries, the principles of the circular economy were adopted much earlier, many EU countries, including Romania, still face challenges in their implementation. That is why it is important that the transition to a circular bioeconomy is favored by a legislative framework that does not create barriers, but rather stimulates this transition. In this context, the present study aims to present the European legislative framework for the transition to a circular bioeconomy, through a review of the policies and strategies delimited at the level of the European Union, the indicators of the circular economy at the European level and an overview of the potential for circular economy of fruit and vegetable waste and byproducts.
THE EVOLUTION OF THE DYNAMICS OF THE FRUIT SECTOR IN ROMANIA, IN THE PERIOD 2013-2022
Authors:   Research Institute for Agricultural Economy and Rural Development Bucharest, Romania, Marin Ancuța , Voicilă Daniela Nicoleta ,   Research Institute for Agricultural Economy and Rural Development Bucharest, Romania
Published: January 2025

The study focuses on analyzing and presenting the evolution of the pomological sector in Romania, both at the national and regional levels, between 2013 and 2022. The data used for this study were collected from various sources, including national statistics, publications, and specialized literature, and were subjected to qualitative research methods for analysis and interpretation. Relevant indicators for the agricultural sector, such as the number of cultivated trees, fruit production, and yield, were included in the study, and their minimum, maximum, and average values for the reference period were calculated and analyzed. Additionally, these indicators were studied at the level of the most important fruit species: apples, pears, plums, cherries, and sour cherries. The analysis of statistical data highlights significant variations in terms of the number of fruit trees and their productions in various development regions of Romania, thus providing insight into the evolution of the sector and guiding potential policies in the field.
EQUIPMENT FOR VEGETATION MANAGEMENT IN ORCHARDS, WITH SENSORIAL CONTROL USING LIDAR
Authors:   National Institute of Research – Development for Machines and Installations Designed for Agriculture and Food Industry – INMA Bucharest, Romania, Popa Lucreția , Zaica Ana ,   National Institute of Research – Development for Machines and Installations Designed for Agriculture and Food Industry – INMA Bucharest, Romania, Ștefan Vasilica ,   National Institute of Research – Development for Machines and Installations Designed for Agriculture and Food Industry – INMA Bucharest, Romania, Butac Mădălina ,   Research Institute for Fruit Growing Pitesti, Romania, Rodino Steliana ,   Research Institute for Agricultural Economics and Rural Development – ICEADR – Bucharest, Romania
Published: January 2025

The development of Agriculture 4.0 is a current and future concern, which has also been extended in the field of equipment intended for maintenance work in fruit plantations. The achievement of high-performance equipment, in the context of climate changes, can ensure the timely and high-quality completion of the works in the fruit plantations, but also ensure the protection of the trees, to increase the life span and fruiting period of the fruit trees. From all of this, the research team carried out applied research for the development of an integrated technology and technical equipment for mowing the floor vegetation in orchards. Integrating high technology into the maintenance technology of orchards, plant material can be obtained that will form the basis of mulch production, which will be used in organic fertilization technologies of orchards/vineyards. The development of Agriculture 4.0 is a current and future concern, which has also been extended to the field of machinery for maintenance work in orchards. The realization of high-performance machines, in the context of climate changes, can ensure the timely and quality completion of the works in the orchards, but also the protection of the trees, to increase the life span and fruiting period of the trees. The research team carried out applied research for the development of an integrated technology and technical equipment for mowing the orchard floor vegetation. The advantage of this technology, which integrates LiDAR technology, is the fact that the tree trunks will not be damaged, so the potential for diseases to occur in the bark of the trees decreases, favouring the obtaining of rich fruit harvests.
OPTIMIZATION OF SOME FACTORS IN ORDER TO REGENERATE USING EMBRYO CULTURE IN SOME PLUM AND CHERRY GENOTYPES
Authors:   Research Institute for Fruit Growing Pitesti, Romania, Șarpe Catița , Butac Mădălina ,   Research Institute for Fruit Growing Pitesti, Romania, Chivu Mihai ,   Research Institute for Fruit Growing Pitesti, Romania
Published: January 2025

In last year’s, it has been observed that the germination rate of the resulting stones in hybrid combinations is very low. Starting from this problem, was checked a different solution than classic to obtain hybrid plants, solution that offers and analysis that gives as many explanations for this situation. The biological material used was represented by 1,140 plum hybrids stones (resulted from different hybrid combinations - ‘Andreea x Romanța’, ‘Pitestean x Andreea’, ‘Tita x Jojo’, and open pollination of ‘Stanley’, ‘Jojo’, ‘Anna Spath’, ‘Tamaioasă de Bistrita’, ‘Mildora’ cvs.) and 815 sweet cherry hybrids stones resulted from open pollination of ‘Skeena’, ‘Superb’, ‘Stella’, ‘Kordia’, ‘Severin’ cvs. The method used for regeneration was embryo culture with 2 variants of culture medium based on Lee Fossard components and hormonal balances, which included IBA, BAP and GA3. In plum, 40.35% of the stones were unsuitable for inoculation due to dehydration, which also led to a very small percentage of regenerated plants of only 3.97%, and in sweet cherry, was recorded 61.96 % dehydrated stones and the germination percent was 13.23%.
Using Simulation in Nursing Didactic Classes to Enhance Students' Critical Thinking and Knowledge
Authors: Kholoud Alharbi
Published: January 2025

There are 3.69 % improvement in the passage rate of The National Council Licensure Examination (NCLEX) after using simulation in the nursing programs (Terwilliger, 2013). Simulations have become important in the nursing field as it enhances the critical thinking skills of students in nursing schools (Adib-Hajbaghery & Sharifi, 2017).The study’s aim was to examine if using simulation in nursing didactic classes can facilitate critical thinking of nursing students. The design of the pilot study was a convenience, non-randomized trial. A total of thirty-three nursing students at the Indiana University Kokomo (IUK) campus were involved in the study. The students were from pharmacology and pathophysiology class. The independent t-test was used to compare the means of two independent groups to find out if there is a significant difference between the two groups (pre and post-test). The study revealed that there is no significant improving in critical thinking skills among nursing students and no increasing in their grades after exposure to the simulation experience. This study has limitations as the following small sample size and lack of control group. Further research studies on a large scale should be performed to validate the effectiveness of simulation in improving the critical thinking skills and decreasing the attrition rates.
الهوية بين الفلسفة وعلم الاجتماع
Authors: Amani O. Abuzahera
Published: January 2025

يتناول هذا البحث مفهوم الهوية من منظورين رئيسيين: الفلسفة وعلم الاجتماع. حيث استعرض البحث كيفية تعريف الهوية في الفلسفة، وتحدث عن البعد التاريخي والقيمي والمنطقي للهوية في الفلسفة حيث طرح الفلاسفة مثل أرسطو، وابن خلدون، وبول ريكو، نظرتهم الفلسفية لمفهوم الهوية. وتُعتبر الهوية موضوعاً مركزياً في الفلسفات الوجودية والأنطولوجية ايضاً، حيث يُناقش الفلاسفة مثل هيدغر طبيعة الذات والوجود وكيفية تشكيل الهوية الفردية.
على الجانب الآخر، يتناول البحث الهوية من منظور علم الاجتماع، حيث يُنظر إليها من قبل بعض علماء الاجتماع مثل دوركايم، ماكس فيبر، وبورديو، توران، هامبرس، كظاهرة اجتماعية مهمة تتشكل من خلال التفاعلات الثقافية والاجتماعية وتنشأ من العلاقة بين الفرد والجماعة والمجتمع، من حيث تلقي الفرد ما يحتاجه لتشكيل هويته من خلال انفعالاته وتجربته المشتركة مع الآخريِن، ويُستعرض تأثير العوامل الاجتماعية مثل العرق، والجنس، والطبقة الاجتماعية، وكيف تؤثر هذه العوامل في تكوين الهوية الاجتماعية.
يسلط البحث الضوء على العلاقة بين الهوية الفردية والهوية الجماعية، وكيف يمكن أن تتداخل المفاهيم الفلسفية مع التحليلات الاجتماعية لفهم الهوية بشكل شامل. كما يناقش التحديات المعاصرة التي تواجه الهوية في عالم متغير، مثل العولمة والتكنولوجيا.
هدف البحث إلى تقديم رؤية متكاملة حول الهوية، تجمع بين التحليل الفلسفي والنظريات الاجتماعية، مما يسهم في فهم أعمق للموضوع في السياقات الثقافية المختلفة.
آثار التوسع العمراني في ضواحي مدن العالم الثالث
Authors: Muhammad Koyuz
Published: January 2025

أضحت الحياة الحضرية بالمدينة المغربية كغيرها من مدن العالم الثالث معقدة تحت تأثير مجموعة من المشاكل التي تؤثر في شكل وديناميكية المدن، وبالتالي فإن إحداث مراكز حضرية بضواحي المدن أصبح ضرورة ملحة من أجل توازن اجتماعي قائم على خلق توافق بين الحاجيات الحالية للساكنة دون التأثير على الحاجيات المستقبلية للأجيال المقبلة. من جهة أخرى ومن خلال هذا البحث عملنا على تسليط الضوء على الدور الذي تلعبه السلطات المحلية في رسم خارطة طريق ترتكز على قرارات عقلانية ومتناسقة تهدف إلى بناء نسيج واضح المعالم يأخذ بعين الاعتبار الضاحية كجزء لا يتجزأ من مخطط التنمية المستدامة الذي تحضى به المدن، خاصة في ظل عدم قدرة المدينة الأم على احتضان ساكنتها وتلبية حاجياتهم السكنية. من أجل دراسة ميدانية دقيقة تم اختيار ضاحية مدينة الدار البيضاء بالجزء الجنوبي الغربي للمملكة المغربية نموذجا لمعرفة أهم المميزات والتطورات التي يخضع لها هذا النوع من المدن والتي يكون دورها الأساسي منحصرا في مصاحبة تطور المدن المجاورة لها.
Myeloma cell growth suppression by osteoblast-derived extracellular vesicles: the creation of a non-permissive niche for myeloma cells by bone-forming osteoblasts
Authors: Kim SooHa , Teramachi Jumpei , Hiasa Masahiro , Amachi Ryota , Bat-Erdene Ariunzaya , Oda Asuka , Tenshin Hirofumi , Tanaka Mariko , Nakagawa Motosumi , Seki Aiko , Sawa Yoshihiko , Matsuoka Ken-ichi , Tanaka Eiji , Harada Takeshi , Tominaga Tatsuya , Abe Masahiro
Published: January 2025

Not available.
Deprem Sonrası Göç Etmiş Okul Öncesi Dönem Çocuklarının Sosyal ve Duygusal Durumlarının İncelenmesi
Authors: Koçbay Aybüke , Dikici Sıgırtmaç Ayperi
Published: January 2025

Bu araştırmada okul öncesi dönem çocuklarının 6 Şubat 2023 tarihinde yaşanılan deprem felaketinden ve ardından yapılan zorunlu göç durumundan ne şekilde etkilendiklerinin, ebeveynlerin davranış ve tutumları ile sürecin çocukların okul yaşantılarına nasıl yansıdığının incelenmesi amaçlanmaktadır. Araştırmada nitel araştırma yöntemlerinden durum çalışması modeli kullanılmıştır. Araştırmanın katılımcılarını 6 Şubat 2023 tarihinde gerçekleşen depremden etkilenerek şehrinden göç etmiş okul öncesi yaş grubu çocuğu olan ebeveynler ve çocukların göç sonrası okul öncesi öğretmenleri oluşturmaktadır. Katılımcılar ile yarı yapılandırılmış görüşmeler yapılmış, elde edilen verilen betimsel analiz ve içerik analizi yöntemleri ile analiz edilmiştir. Araştırma bulgularına göre çocukların ebeveynlerine aşırı bağlılık gösterdikleri, yaşanan travmatik olayları oyunlarına yansıtma ve akranları ile paylaşımda bulunma ihtiyaçları duydukları ve bazı problem davranışlar sergiledikleri belirlenmiştir. Çocuklarının akran etkileşimi kurmaları ebeveynler tarafından olumlu gelişmelerin başlangıcı olarak belirtilmiştir. Okul öncesi öğretmenleri tarafından çocuklar için uyum çalışmaları yapılması, bir okul rutini oluşturulması okul sürecinde olumlu değişikliklere yol açmıştır.
Okul Öncesi Dönem Çocuklarının Dijital Medya Ekranını Problemli Kullanımları ve Sosyal Becerilerinin İncelenmesi
Authors: Bakırcı Büşra , Çetingöz Duygu
Published: January 2025

Bu araştırmada, okul öncesi dönem 48-72 aylık çocukların dijital medya ekranını problemli kullanımları ve sosyal becerileri arasındaki ilişkinin incelenmesi amaçlanmıştır. Bu amaçla ilişkisel tarama modeli kullanılmıştır. Araştırmanın çalışma grubu random örnekleme yöntemiyle 2022-2023 eğitim öğretim yılında İzmir iline bağlı sekiz ilçeden MEB’e bağlı toplam 24 bağımsız anaokuluna devam eden, normal gelişim gösteren 431 çocuk olarak belirlenmiştir.  Araştırmada veri toplama araçları olarak Kişisel Bilgi Formu, Problemli Medya Kullanım Ölçeği Kısa Formu ve Sosyal Beceri Ölçeği kullanılmıştır. Araştırma sonuçlarına göre cinsiyet ve baba eğitim durumu değişkenlerinin problemli medya kullanımı ve sosyal beceri üzerinde etkili olmadığı tespit edilirken, anne eğitim durumun problemli medya kullanımı ve sosyal becerilerin öz kontrol alt boyutunda etkili olduğu saptanmıştır. Ayrıca problemli medya kullanımı ve sosyal beceriler arasında negatif yönlü bir ilişkiye sahip olduğu sonucuna ulaşılmıştır. Yapılan regresyon analizi sonucuna göre dijital medyanın problemli kullanımının sosyal becerilerin yordayıcısı olduğu ifade edilebilir.
Desain Aplikasi Layanan Kesehatan Home Care Menggunakan Metode User Centred Design (UCD)
Authors: Setiawan Agustinus Eko , Zulkifli Zulkifli , Andika Tahta Herdian , Aras Irsan , Pasaribu Alfredo
Published: January 2025

Di era digital sekarang ini, menggunakan aplikasi untuk mendukung proses pelayanan kesehatan sangatlah bermanfaat. Layanan yang diharapkan semua orang adalah layanan yang benar-benar melayani dan membuatnya sangat mudah. Dalam penelitian ini penulis mengusulkan untuk dikembangkan sebuah aplikasi Home Care yang bertujuan untuk mempermudah akses masyarakat terhadap layanan kesehatan. Masyarakat tidak perlu mendatangi puskesmas ataupun rumah sakit, tetapi tenaga medis yang akan mendatangi pasien. Layanan Kesehatan Home Care yang disajikan melalui platform web didesain dengan pendekatan UCD (User Centered Design) untuk mengatasi tantangan yang dihadapi oleh user dalam menggunakan aplikasi Home Care yang disediakan. User dapat dengan mudah memahami fungsi-fungsi dari modul-modul aplikasi ini hanya dalam satu kali penggunaan. Metode User Centered Design (UCD) berhasil memperoleh hasil usability testing dengan persentase rata-rata 83,72%. Dengan demikian, aplikasi Home Care berhasil menciptakan sistem yang user-friendly dan sangat bermanfaat.
QBIDAN: Aplikasi Kebidanan Berbasis Mobile
Authors: Susilawati Intan Rina , Satria Eri , Rostilawati Detila , Suryani Naning , Ernawati Ernawati , Handayani Titi Purwitasari
Published: January 2025

Sebagian besar layanan bidan saat ini masih menggunakan pencatatan manual yang kurang efektif sehingga menyebabkan peningkatan beban kerja, kesulitan dalam mencari informasi, dan risiko kehilangan data penting. Tujuan penelitian ini membangun aplikasi QBidan yang menyediakan berbagai fitur untuk membantu dalam pemantauan kehamilan, memberikan informasi kesehatan, serta menawarkan sumber daya dan tips yang berguna selama perjalanan kehamilan. Aplikasi ini juga dapat memfasilitasi komunikasi antara ibu hamil dan tenaga kesehatan, serta memberikan panduan nutrisi, latihan fisik, dan persiapan untuk persalinan. Metode penelitian menggunakan waterfall meliputi komunikasi, planning, modelling, construction dan deployment. Hasil penelitian diperoleh sebuah aplikasi QBidan berbasis android dengan fitur pranikah, prakehamilan, kehamilan, persalinan, menyusui, program keluarga berencana, perawatan bayi, tentang QBidan dan pertanyaan yang sering ditanyakan. Aplikasi memberikan informasi kepada penggunanya secara komprehensif mulai dari sebelum pernikahan sampai perawatan bayi. Aplikasi diuji menggunakan usability test, dihasilkan skor penerimaan pengguna sangat baik dengan nilai rata-rata 4.6 (93%). Hasil ini menunjukkan bahwa aplikasi QBidan yang dibangun telah memenuhi kebutuhan pengguna. Penelitian berikutnya dapat dilakukan dengan menambahkan kalkulator perhitungan masa subur, konsultasi pelayanan bidan dan pengukuran penerimaan teknologi oleh pengguna.
Pengembangan Sistem Penerangan Jalan Pintar Berbasis IoT dengan Arduino dan NodeMCU
Authors: Hidayat Robi T , Nugroho Irvan A , Saputra Duta M W , Marzuki Marza I , Prayogi Soni
Published: January 2025

Pengembangan sistem ini untuk meningkatkan efisiensi energi dan keamanan di kawasan perkotaan dengan cara mengoptimalkan penggunaan lampu jalan berdasarkan kondisi lingkungan secara real-time. Metode yang digunakan melibatkan perancangan dan implementasi perangkat keras serta perangkat lunak, di mana sensor cahaya, gerak, dan modul komunikasi nirkabel diintegrasikan dengan Arduino dan NodeMCU. Data dari sensor digunakan untuk mengontrol intensitas lampu jalan secara otomatis, menyesuaikan pencahayaan berdasarkan tingkat kecerahan alami dan keberadaan kendaraan atau pejalan kaki. Pengujian dilakukan di lingkungan simulasi dan lapangan untuk mengevaluasi kinerja sistem dalam berbagai kondisi. Temuan penting dari penelitian ini menunjukkan bahwa sistem yang dikembangkan mampu mengurangi konsumsi energi hingga 40% dibandingkan dengan sistem penerangan jalan konvensional, tanpa mengorbankan keamanan. Selain itu, sistem ini juga memberikan fleksibilitas dalam pengelolaan penerangan jalan melalui antarmuka berbasis web yang memungkinkan pemantauan dan kontrol jarak jauh. Secara keseluruhan, pengembangan sistem penerangan jalan pintar berbasis IoT dengan Arduino dan NodeMCU terbukti efektif dalam meningkatkan efisiensi energi dan keamanan di lingkungan perkotaan. Sistem ini menawarkan solusi yang praktis dan dapat diimplementasikan secara luas untuk mendukung inisiatif kota pintar yang berkelanjutan
Pengukuran Kegunaan dan Kepuasan Pengguna pada Aplikasi Virtual Tour Reality dalam Meningkatkan Pengalaman Wisata
Authors: Buana Pratama Angga , Wicaksana Dinar Anggit , Adinugroho Suryo
Published: January 2025

Penelitian ini mengevaluasi pengalaman pengguna (user experience) aplikasi Virtual Tour Reality (VTR) dalam konteks wisata menggunakan System Usability Scale (SUS) untuk kegunaan dan End-User Computing Satisfaction (EUCS) untuk kepuasan. Studi ini melibatkan 293 responden, terdiri dari ahli IT, pengelola objek wisata, dan masyarakat. Hasilnya menunjukkan bahwa aplikasi VTR dinilai "puas" dari aspek Learnability, Efficiency, Memorability, Error, dan Pleasantness, dengan nilai terendah pada Error (3,75). Kepuasan pengguna juga dinilai "Puas," dengan nilai terendah pada Timeliness (3,92). Kedua skor berada di atas 3,75, menempatkan kepuasan pengguna pada level 4, yaitu "Puas." Studi ini juga menemukan hubungan korelasi positif yang sangat kuat antara usability dan kepuasan pengguna, di mana peningkatan kegunaan meningkatkan kepuasan. Meskipun aplikasi VTR memenuhi ekspektasi, peningkatan pada aspek Error dan Timeliness disarankan untuk mencapai tingkat "Sangat Puas."
Perancangan Sistem Informasi Akuntansi Keuangan Berbasis Client Server
Authors: Ungkari Marti Dewi , Nurlaela Lina , Gani Ardi Abdul
Published: January 2025

Pada era digitalisasi peran teknologi dalam bidang keuangan dapat membantu dalam meningkatkan efisiensi dan kualitas layanan. Seperti pencatatan dan pelaporan laporan keuangan yang dapat menghasilkan informasi secara tepat dan cepat. Namun masih ada organisasi yang masih menggunakan proses pencatatan laporan keuangan secara manual seperti halnya pada SMA Nurul Amin Samarang Kabupaten Garut. Tujuan penelitian adalah untuk menganalisis masalah yang yang terjadi di sekolah SMA Nurul Amin yang dalam proses pencatatan keuangannya masih manual. Sehingga penulis mencoba untuk membuat suatu aplikasi Perancangan Sistem Informasi Akuntansi Keuangan Berbasis Client Server. Metode pengumpulan data yang digunakan dalam penelitian ini yaitu observasi, wawancara, dokumentasi, dan studi pustaka. Hasil dari penelitian ini adalah dengan adanya pembuatan aplikasi ini, kepala sekolah lebih mudah dalam melihat hasil laporan keuangan. Pada aplikasi ini menampilkan data siswa, kas masuk, kas keluar, backup restore, serta laporan-laporan. Aplikasi sistem informasi akuntansi ini dapat dikembangkan menggunakan bahasa pemrograman PHP My Admin, Visual Studio Code dan database MySQL.
Evaluasi Metode Perbaikan Grouting dengan Metode Non Destructive Test (NDT): Review Komprehensif Tren Penelitian 2013-2023
Authors: Zaki Ahmad
Published: January 2025

Artikel ini mengkaji perkembangan bidang struktur, khususnya pada perbaikan beton dan metode Non-Destructive Testing (NDT), selama periode 2013 hingga 2023. Penelitian ini bertujuan untuk menganalisis tren, kemajuan publikasi, penulis, afiliasi, dan negara yang paling berkontribusi dalam bidang ini. Metodologi yang digunakan adalah penelusuran literatur dengan menggunakan VOSviewer dan data dari Scopus, yang kemudian dianalisis menggunakan pendekatan bibliometrik dan scientometrik. Dari 412 artikel yang ditemukan, terlihat adanya tren peningkatan publikasi yang fluktuatif. China tercatat sebagai negara dengan kontribusi terbesar, dengan 183 artikel yang diterbitkan. Jurnal Construction and Building Materials yang diterbitkan oleh Elsevier menjadi sumber publikasi paling dominan dengan 49 artikel. Visualisasi jaringan penulis menunjukkan terbentuknya 8 klaster yang saling terhubung, mencerminkan perkembangan jaringan riset yang luas dan komprehensif. Kata kunci yang paling banyak muncul adalah grouting, dengan bidang studi populer lainnya seperti korosi dan rehabilitasi. Sementara itu, kata kunci NDT yang jarang muncul menunjukkan adanya peluang penelitian lebih lanjut. Studi ini menyediakan dasar yang kuat untuk penelitian mendatang, terutama dalam mengembangkan jaringan perbaikan grouting dengan metode NDT.
Perbandingan Model Pemilihan Moda Feeder BMA Trans dan Mobil Sewa Kota Parepare ke Bandara Sultan Hasanuddin
Authors: Ramadhan Umar , Wakkang Hamka , Misbahuddin Misbahuddin
Published: January 2025

Penelitian ini dilatarbelakangi berdasarkan prefensi masyarakat sebagai pengguna moda transportasi di Sulawesi Selatan khususnya di kota Parepare yang ingin menuju ke bandara Sultan Hasanuddin. Banyaknya pilihan moda pengumpan (feeder) yang tersedia di kota Parepare maka beragam pula prefensi setiap pengguna dalam menetukan moda pengumpan yang efektif dan efisien untuk menuju ke bandara Sultan Hasanuddin. Tujuan dari penelitian ini untuk mengetahui kecenderungan masyarakat dalam memilih moda pengumpan (feeder) yang efektif dan efisien antara moda BMA Trans dan mobil sewa di kota Parepare menuju bandara Sultan Hasanuddin serta prefensi pengguna dalam memilih berdasarkan biaya, waktu tempuh, keamanan, dan kenyamanan moda. Metode yang digunakan dalam penelitian ini menggunakan (stated preference) dan memodelkan pemodelan transportasi dengan metode regresi logit biner yang di olah di software STATA 16. Adapun hasil penelitian ini berdasarkan faktor-faktor yang mempengaruhi pengguna transportasi dalam memilih moda untuk menuju bandara faktor utama responden yang memilih BMA Trans berdasarkan faktor kenyamanan sebesar 48 %. sedangkan faktor utama responden dalam memilih moda mobil sewa di kota Parepare untuk menuju bandara yaitu berdasarkan faktor waktu tempuh sebesar 40 %. dan dari hasil perbandingan permodelan antara moda BMA Trans dan mobil sewa untuk peningkatan probabilitas BMA Trans lebih besar dari segi biaya, keamanan, dan kenyamanan. sedangkan mobil sewa peningkatan probabilitas dari segi waktu tempuh perjalanan.
Analisis Hasil Uji Sondir pada Rumah Rusun Pejambon Tipe 45 8 Lt Untuk Mengetahui Daya Dukung dan Penurunan Pondasi Tiang Pancang
Authors: Hasanah Mauliyatul , Saputra Pungky Dharma
Published: January 2025

Kecamatan Gambir merupakan salah satu kecamatan yang ada di Jakarta Pusat. Jakarta Pusat juga merupakan kota besar dan sibuk di Indonesia. Pembangunan rumah Rusun tipe 45 8 lantai di Pejambon, Jakarta Pusat ini dilakukan karena banyaknya prajurit Tentara Nasional Indonesia yang berdinas di Jakarta, sehingga membutuhkan rumah susun. Langkah pertama dalam pembangunan rusun tipe 45 8 lantai ini adalah melakukan penyelidikan tanah dengan bantuan alat uji sondir, dari hasil sondir didapatkan jenis tanah lunak. Hasil sondir dengan kedalaman 6,6 m didapatkan tanah keras dengan nilai qc > 250 kg/m2. Rumah Rusun 8 lantai tipe 45 ini dilakukan penyelidikan tanah sehingga parameter yang akan dianalisa adalah daya dukung tanah dan penurunan pondasi, penurunan pada tiang tunggal sebesar 0,004 dan yang diijinkan sebesar 0,04 yang mana nilai penurunan pada tiang tunggal tersebut lebih kecil dari nilai yang diijinkan, sehingga perencanaan pondasi dapat dilakukan sesuai dengan tujuan bangunan. Pondasi harus dipasang terlebih dahulu sebelum elemen-elemen lain terbentuk.
PEMBUATAN WEBSITE KELOMPOK BELAJAR AL-AISYAH DI DESA DANGIANG
Authors: Supriatna Asep Deddy , Valentin Shabrine Yessie , Adhitya Muhammad , Ardiansyah Rendi , Pamungkas Tirta Rikal , Bahri Abdul Halim Syaiful , Rahmansah Muhammad Hilmi Nabil , Alfarizi Kevin Gibran , Maulana Ilham , Ramdan Doni , Firdaus Nizar Alghifari , Nugraha Zamzam Surya , Sari Riska , Rachmat Arif Fadhlillah , Tiara Tiara , Oktaviana Rio , Iqbal Alwi Muhamad , Mubarok Muhammad Farhan , Fatonah Fahmi Veny , Septiana Merida Nazwa , Cahyadi Pirgi , Farhah Aulia Rahma
Published: January 2025

Sulitnya penyebaran informasi membuat banyaknya ketertinggalan dan sulit melakukan transparansi informasi terlebih di era digital saat ini. Pembuatan website untuk Kelompok Belajar Al-Aisyah di Desa Dangiang bertujuan meningkatkan akses dan transparansi informasi. Dalam era digital, keberadaan website yang informatif menjadi kebutuhan penting. Metode prototype digunakan dalam pengembangan sistem ini, yang melibatkan partisipasi aktif klien untuk menyesuaikan kebutuhan. Proses meliputi pengumpulan kebutuhan, pembuatan, dan evaluasi prototype, serta pengkodean dan pengujian sistem. Hasilnya adalah peningkatan transparansi dan mempromosikan Pendidikan di Desa Dangiang terutama KOBER Al-Aisyah kepada masyarakat. Website ini diharapkan dapat memajukan platform digital pendidikan di Desa Dangiang.
PENGARUH RELIABILITY SERVICE, INOVASI PRODUK, BRAND IMAGE, DAN PRICE TERHADAP LOYALITAS PELANGGAN MEDIASI PENINGKATAN MINAT BELI ULANG KONSUMEN PADA THREE TUNGGAL MAKMUR DI BABAT
Authors: Veisha Audria Icha , Indah Kuswanti Afissha , Muhtarom Abid , Yaskun Mohammad , Rusmawati DJ Yunni
Published: January 2025

Tujuan studi ini adalah untuk mengeksplorasi dampak-dampak dari Reliability Service, Inovasi Produk, Brand Image, dan Price terhadap Loyalitas Pelanggan, serta bagaimana faktor-faktor ini memediasi Peningkatan Minat Beli Ulang Konsumen pada Three Tunggal Makmur Di Babat. Objek penelitian adalah konsumen Three Tunggal Makmur Di Babat, dengan sampel terdiri dari 212 responden. Metode penelitian ini menggunakan data primer dan teknik pengambilan sampel menggunakan rumus slovin. Pendekatan analisis yang digunakan adalah Partial Least Square (PLS) dengan aplikasi SmartPLS Versi 3.0. Hasil penelitian menunjukkan bahwa Reliability Service, Inovasi Produk, Brand Image, dan Price secara positif dan signifikan mempengaruhi Loyalitas Pelanggan. Selain itu, ditemukan bahwa Reliability Service, Inovasi Produk, Brand Image, dan Price juga memiliki efek moderasi terhadap hubungan antara Loyalitas Pelanggan dan Minat Beli Ulang.
METHODS OF COMPARATIVE EVALUATION OF MILITARY TRUCKS BY TRACTION DYNAMICS
Authors:   National academy of hte National Guard of Ukraine, Kaidalov Ruslan , Strashnyi Ihor ,   National Academy of the National Guard of Ukraine, Kalatynets �leksandr ,   National Academy of the National Guard of Ukraine
Published: January 2025

Solving the tasks of equipping military units with new models of weapons and equipment and modern military trucks is complicated by certain objective factors, the main of which can be considered resource limitations associated with the destruction of part of the state's technical infrastructure, as well as losses of military equipment during hostilities. Refusal of chaotic staffing of units with trucks and determination of the type and unified model range of military trucks, the use of which will ensure the necessary level of efficiency in the performance of logistical tasks, is one of the most appropriate ways to eliminate the causes that lead to negative consequences. One of the initial stages of this process may be the formation of methods for comparative evaluation of military trucks according to their operational properties. The aim of the article is to develop methods for comparative assessment of military trucks in terms of traction dynamics. The average speed of movement is chosen as an indicator for the traction dynamics of military trucks. The average speed of a vehicle is determined by comparing the traction force developed by the vehicle on the drive wheels with the resistance forces that arise during movement. The graph-analytical method of calculating the average speed can be used only if the vehicle route and road conditions are known in advance. The article performs calculations using this method for a typical route of a military truck during the task of logistical support of units in a combat zone. The analytical-stochastic method of calculating the average speed of a vehicle is used if the exact values of the route parameters are not determined. In this case, it is advisable to describe the change in the value of the resistance to movement by the normal law of distribution of the road resistance coefficient values along the length of the route. Using this method, the article determines the average speed of vehicles while traveling on public roads. Analysis of the results shows that the average speed of vehicles in this case differs little from each other, which requires taking into account additional factors for evaluation.
Leadership in Turbulent Times: A Cross-Cultural Analysis of Crisis Management and Organizational Resilience
Authors: Baah Richard Grover
Published: January 2025

Leadership during crises is a critical factor in determining organizational resilience. This paper explores the role of individual leadership in crisis management, with a particular focus on building business models capable of withstanding industry-specific and structural challenges. Drawing on theoretical frameworks and cross-cultural, cross-sectoral case studies, this research investigates how leaders navigate crises, sustain operations, and foster long-term resilience. The study analyzes leadership strategies employed during significant global crises, including economic downturns, pandemics, and geopolitical disruptions, to identify best practices that transcend cultural and sectoral boundaries. The findings reveal that effective crisis management requires not only adaptability and decisiveness but also the ability to integrate diverse cultural perspectives and sector-specific knowledge. The paper also highlights the importance of fostering a culture of resilience within organizations, where leadership plays a pivotal role in promoting innovation and sustainability. By synthesizing insights from various industries and regions, this research offers practical recommendations for business leaders seeking to enhance their crisis management capabilities and build more resilient organizations. Ultimately, the study contributes to the growing body of literature on leadership in crisis by emphasizing the importance of individual leadership in shaping resilient business models that can withstand future challenges.
Evaluation model of new energy vehicle teaching effect based on artificial intelligence
Authors: Tang Haili , Cao Xiaojuan , Zhang Ruyi
Published: January 2025

As a compulsory course, the new energy vehicle course should be reformed in regard to the teaching methods and content. This paper summarises the characteristics of this course based on the author's practice. This project studies the new energy vehicle teaching cloud evaluation method based on a big data environment. The reverse cloud generator and cloud synthesis algorithm are used to build a new energy vehicle teaching evaluation system. Secondly, based on determining the weight cloud of the teaching evaluation index and task weight cloud, the cloud computing rules are used to generate the singletask teaching evaluation cloud and the multi-task complex teaching evaluation cloud, respectively. The complex teaching choices are evaluated and optimised. An example shows that the proposed algorithm is practical and reasonable. This paper's research results will help evaluate the quality of education more comprehensively and promote the smooth progress of education reform.