bluuebunny/crossref_metadata_2025 huggingface dataset:
Biyolojik Protein Fonksiyon Tahmin İşleminde Orange Veri Analizi Aracının Kullanımıyla Makine Öğrenmesi Algoritmalarının Performanslarının Değerlendirilmesi
Authors: Akman Yaman Ceren , Altuntaş Volkan
Published: July 2024

İnsan vücudu ilk günden bugüne kadar olan bütün süreçlerde işleyiş açısından merak uyandıran bir mekanizma olmuştur. İçerisinde barındırdığı hücrelerle bu hücrelerin kendi içlerinde barındırdıkları moleküllerle ve işleyişlerle yaşamsal döngü devam etmiştir ve devam etmektedir. Bu yaşamsal döngünün devam etmesi için moleküllerin işleyiş şekillerinin anlaşılmasının yaşamsal faaliyetlerin çözümlenmesinde önemli etkisi olduğu kanısına varılmıştır. Bu çalışma kapsamında yapılan çalışmalar incelendiğinde insan vücudu için karmaşık bir yapıya sahip olan moleküllerin işleyişinin büyük bir öneme sahip olduğu kararına varılmıştır. Böylelikle bu çalışma da büyük bir öneme sahip olan karmaşık yapılı protein molekülü ele alınarak biyoloji tarafından bakıldığında biyolojik süreç, moleküler işlev ve hücresel bileşen açısından fonksiyon tahmin işleminin gerçekleştirilebilmesi ve bunun için k- en yakın komşuluk, sinir ağı ve rastgele orman yöntemlerinin veri görselleştirme ve veri analiz aşamasında kullanılabilen Orange editörü vasıtasıyla modellerin geliştirilmesi sağlanmış olup performans değerlendirilmesi yapılmıştır. Yapılan değerlendirmeler sonucunda k-en yakın komşuluk modelinin kullanılan veri setleri üzerinde en az %88 üzerinde başarı sağladığı tespit edilmiştir.
Forecasting of COVID-19 Cases Under Different Precaution Strategies in Turkey
Authors: Arslan Serdar
Published: July 2024

The coronavirus disease started at the end of 2019 and affected all the countries in the world. In Turkey, the vaccination process started at the beginning of 2021 but performed in slow progress. Thus, the Turkish Government tried to implement precautions to control this virus's spread. In this study, we evaluated and compared five different forecasting models, ARIMA, Prophet, NARNN, Stacked LSTM, and Bidirectional LSTM, in order to show the effect of these precaution strategies on virus spread using a real-world data set. According to the test results, ARIMA and Prophet were found to be the most accurate models for small data sets that are split regarding precautions. Moreover, test results showed that when data size grows, LSTM model performance increases. However, these models' performance decreased when we fed these models by using the entire data set without splitting.
A Short Review: The Use and Application of Matrix Resins Formed with Some Plant-Based Oils in Bio-Composite Materials
Authors: Karacor Berkay , Özcanlı Mustafa
Published: July 2024

Increasing environmental problems, waste recycling problems, and non-biodegradable resources have led researchers to different searches for composite materials in recent years. In these studies, interest in bio-composite materials known as green composites has increased significantly due to their potential to replace traditional materials in material production. The creation of biocomposite materials from natural fibers or natural resins instead of synthetic fibers and synthetic resins has made natural resources the focus of researchers. Among these natural resin formations, the use of vegetable-based oils in various applications has started to be seen frequently due to their low cost, biodegradability, and availability. In addition to being recyclable, vegetable-based oils are an important alternative in many sectors, especially in the chemical industry, both environmentally and economically, with a wide variety of chemical conversion possibilities. The desire to explore the versatility of vegetable oil components formed by the complex multi-component mixtures of fatty acids and glycerol ester accelerates the studies in this field even more. In this study, the chemical compositions of vegetable oils hybridized with different resins, the chemical structures of pure vegetable oils, the different varieties among these vegetable oils, and various types of biocomposites produced using vegetable oil-based resins were investigated. In addition, the latest trends in other applications of these bio-composites, especially in automotive, were examined.
Upstream and Downstream Processes of rFVIII Recombinant Protein Manufacturing in Respect to Fluid Flow, Mixing, Heat and Mass Transfer
Authors: Gemci Tevfik
Published: July 2024

The intrinsic blood coagulation pathways depend heavily on factor VIII, a glycoprotein cofactor. Hemophilia A, an X-linked dominant disease, is treated with FVIII, a very complex therapeutic protein commercially available. It is currently one of the most extensive and significant coagulation factors. Two isolated plasma and recombinant lyophilized FVIII concentrates are used to treat hemorrhagic illness in hemophilia A sufferers. Plasma-extracted products separated from humanoid blood can be substituted with recombinant FVIII (rFVIII) products, which are free of both humanoid and carnal proteins and transcribed in eukaryotic cells. In regard to fluid flow, mixing, heat, and mass transfer phenomena, the upstream and downstream manufacturing processes of rFVIII will be briefly reviewed in this publication.
A New Hybrid Classification Framework in Childhoods Allergies with Dataset Slicing Method
Authors: Karadayı Ataş Pınar
Published: July 2024

Childhood allergies, particularly food allergies, are growing more frequent. Their major influence on children's health and well-being has piqued the interest of worldwide public health officials. The increased prevalence of childhood allergies in Turkey, where these patterns are also relevant, adds urgency to the need for effective classification and management options. This study addresses the shortcomings of simple classification algorithms in obtaining high accuracy by presenting a novel hybrid classification methodology. The research creates a novel method where three different prediction models are built by combining Support Vector Machine and Decision Tree classifiers. This method improves the classification process by taking into account instances that have been incorrectly classified as possible sources of useful information instead of just being noise. This instance filtering-based hybrid classification algorithm that is used in this study maintains the simplicity of interpreting learning outcomes while achieving comparatively high accuracy. Extensive experiments on the allergy dataset show the effectiveness of this hybrid approach, with an impressive accuracy of 0.906. This greatly outperforms the fundamental classification algorithms. The experimental outputs have important implications for medical professionals. This study might add a valuable contribution to the literature by giving a fresh solution to childhood allergy classification.
Detecting Turkish Cyberbullying Tweets Using Machine Learning
Authors: Balcıoğlu Yavuz Selim
Published: July 2024

Cyberbullying is a form of crime where individuals are subjected to online hate speech and harassment, and its prevalence has increased with the growth of social media. There is a noticeable gap in the current literature, especially for cyberbullying detection in languages other than English. This study proposes a method for automatic cyberbullying detection in Turkish tweets. The proposed model incorporates the Support Vector Machine and Random Forest classification algorithms. The model has been trained on labeled real-world data sourced from Twitter. To address the characteristics of the Turkish language, a natural language processing tool called Zemberek-NLP has been used. This tool captures the nuances of the language, enhancing the accuracy of the detection model. This research aims to contribute to the fight against cyberbullying by presenting an innovative approach to detecting it in Turkish.
ANALYSIS ANALYSIS OF THE INFLUENCE TRAINING AND WORK MOTIVATION ON PERFORMANCE IN THE HEALTH SERVICES OF EAST JAVA PROVINCE
Authors: Putri Kirana Azahra , Swasti Ika Korika
Published: July 2024

The purpose of this study was to explain the effect of training and work motivation on employee performance using research objects at Dinas Kesehatan Provinsi Jawa Timur. This research uses a quantitative approach. The population in this study were employees of the Health Office (Dinas Kesehatan) of  Jawa Timur Province. The sample in this study was 72 respondents who had gone through calculations using the Slovin formula. The data analysis used in this research uses the component-based Structural Equation Modeling (SEM) method using the Partial Least Square (PLS) analysis tool. The results of this research show that training can have a positive and significant influence on employee performance, and work motivation has a positive and significant influence on employee performance.
Efektivitas teknik want, direction, evaluation, planning dalam meningkatkan penerimaan diri siswa korban perceraian
Authors: Siregar Nur Sahdiah , Siregar Alfin
Published: July 2024

Penelitian ini bertujuan untuk menguji keefektifitasan konseling kelompok  teknik WDEP dalam membantu peningkatan penerimaan diri siswa korban perceraian. Metode yang digunakan pada penelitian ini menggunakan metode Quasi Eksperimen dengan design Non equivalent Pre-Test Post-Test Control Group Design. Teknik sampling yang digunakan ialah purposive sampling. Populasi penelitian ini berjumlah 27 siswa korban perceraian dengan sampel sebanyak 10 orang siswa yang memiliki indikasi penerimaan diri rendah yaitu 5 siswa sebagai kelompok eksperimen dan 5 siswa sebagai kelas kontrol. Teknik pengumpulan data menggunakan skala penerimaan diri, teknik analisis data yang digunakan dalam penelitian ini adalah non-parametrik dengan teknik Uji Wilcoxon (menguji hasil pre-test dan post-test kelompok eksperimen) dan Mann-Whitney U test (perbandingan post-test antara kelas kontrol dan kelas eksperimen). Adapun hasil analisis data untuk Uji Wilcoxon diperoleh nilai Asymp. Sig (2-tailed) pada kelompok eksperimen sebesar 0,043 < 0.05 dan untuk uji Mann Whitney U test didapatkan nilai Asymp. Sig (2-tailed) 0,16 < 0,05 sehingga Ha diterima dan H₀ ditolak. Berdasarkan hasil analisis data tersebut dapat disimpulkan bahwa terdapat peningkatan penerimaan diri terhadap kelompok eksperimen serta konseling kelompok realita teknik WDEP dinyatakan efektif untuk meningkatkan penerimaan diri pada siswa korban perceraian. Implikasi dari penelitian ini dapat digunakan guru BK untuk menerapkan konseling kelompok realita teknik WDEP sehingga dapat membantu permasalahan pada penerimaan diri yang dialami siswa.
Manajemen kepala sekolah dalam meningkatkan kualitas sumber daya manusia di sekolah menengah pertama islam terpadu madani
Authors: Putra Anjas Baik , Nasution Inom , Yahfizham Yahfizham
Published: July 2024

Penelitian ini bertujuan untuk menganalisis manajemen kepala sekolah dalam meningkatkan kualitas sumber daya manusia di SMP IT Madani Aceh Tenggara. Fokus utama penelitian ini adalah untuk memahami bagaimana perencanaan, pelaksanaan, dan evaluasi dilakukan oleh kepala sekolah dalam upaya meningkatkan kualitas tenaga pendidik dan staf sekolah. Penelitian ini menggunakan metode kualitatif dengan desain studi kasus. Data dikumpulkan melalui wawancara mendalam dengan kepala sekolah, guru, dan staf administrasi, serta observasi langsung untuk memahami dinamika sekolah. Dokumentasi seperti rencana kerja, laporan evaluasi, dan catatan rapat juga dianalisis untuk mendapatkan gambaran menyeluruh tentang manajemen kepala sekolah dalam meningkatkan kualitas sumber daya manusia di SMP IT Madani Aceh Tenggara. Hasil penelitian menunjukkan bahwa kepala sekolah di SMP IT Madani Aceh Tenggara menerapkan manajemen yang efektif dengan perencanaan matang, menetapkan tujuan jelas, dan program pengembangan relevan. Kepala sekolah melibatkan tenaga pendidik dan staf dalam pelatihan, workshop, dan seminar, serta memberikan arahan, bimbingan, dan dukungan terus-menerus. Partisipasi aktif dalam kegiatan seperti MGMP dan diklat juga didorong untuk memperkuat kerjasama antar guru. Evaluasi berkala dilakukan untuk menilai efektivitas program dan mengidentifikasi perbaikan. Secara keseluruhan, manajemen strategis dan partisipatif ini menciptakan lingkungan pendidikan kondusif, meningkatkan kompetensi tenaga pendidik, serta meningkatkan prestasi siswa dan reputasi sekolah.
Efektivitas konseling behavioral dengan teknik modelling dalam menangani perilaku maladaptif siswa madrasah aliyah negeri
Authors: Nadila Olga Rizki , Lubis Saiful Akhyar
Published: July 2024

This research aims to determine the effectiveness of modeling techniques in overcoming maladaptive behavior in class X students at Madarasah Aliyah Negeri. The method used in this research was pre-test post-test only control group design with sampling using a purposive sampling technique, taking a sample of 20 students with the lowest scores and high levels of maladaptive behavior based on the results of the pretest analysis, with the reason that purposive sampling increases methodological accuracy and trustworthiness of data and results by matching the sample to the aims and objectives of the study. The sample used was 20 class X students. Data collection was carried out using a maladaptive behavior questionnaire which has been proven valid and reliable. From the results of research using the t test, it is known that behavioral counseling using modeling techniques is effective in overcoming maladaptive behavior. This can be seen from the results of research data analysis, which shows that tcount = 3.806, and ttable with db = 18 and a significance level of 0.05 or 5% is 2.101, so it is obtained that tcount > ttable (3.806 > 2.101) from the post test results of the experimental group is greater than control group. So the conclusion of the alternative hypothesis is accepted in other words. Behavioral Counseling with Modeling Techniques is Effective in Overcoming Maladaptive Behavior in Class X State Madrasah Aliyah Students.
A Tour Guide's Performance Model for Sustainable Heritage at Borobudur
Authors: Hardani Putu , Damanik Janianton , Subejo  , Suprihanto John
Published: July 2024

Expanding the workforce in the tourism sector is a key aspect of the Rebuild Tourism for the Future via Sustainable Development initiative of which tour guides may become an essential part. Tour guide positions involve providing detailed explanations about heritage attractions and instructing tourists on acceptable behaviour during their investigation of these sites. This research is significant because tour guides play a crucial role in the preservation of tourism by safeguarding cultural treasures. Research on tour guides involves analyses that explore the subject from the viewpoints of their function, history, and structure. This study aims to enhance our understanding of the ecology of the tourism industry and heritage destinations by developing a model for the competent development of tour guides at Borobudur. Data was collected through participatory observation and in-depth interviews with six tour guides in Borobudur who are members of the Indonesian Tour Guides Association. The data were examined utilising Atlas Ti version 9. The study's findings suggest that implementing a high-quality curriculum and training programmes could lead to an exceptional performance model for tour guides at the Borobudur. The curriculum encompasses the implementation of four key components: (1) the scope of study, (2) content standards, (3) the teaching process, and (4) the assessment process. On the other hand, the training aspect covers four elements: (1) training needs, (2) types of training, (3) trainers, and (4) evaluation
Implementation of Path Analysis for Modeling the Influence of Organizational Culture on Work Productivity
Authors: Abdussamad Siti Nurmardia , Abdussamad Zuchri , Reza Widya , Aqmal Ikhlas Ul
Published: July 2024

This research aims to determine the significant factors of organizational culture that influence employee performance productivity using a path analysis model by looking at the total direct and indirect influence of sub-variables. Path analysis can describe the magnitude of the influence and significant variables using direct and indirect influences. By adapting to this case, direct and indirect modeling is needed to see the magnitude of the influence of these sub-indicators. Research related to organizational culture has been carried out to see how much influence organizational culture and motivation have on employee performance. The result is that the greater the organizational culture and achievement motivation, the higher the influence on employee performance. This type of research uses a qualitative and quantitative approach. This research uses a questionnaire to collect data, which has been tested for validity and reliability. This research was conducted at the Gorontalo District Health Service in 2022. Respondents used in this research were 57 Gorontalo District Health Service employees. Data analysis using software R. Results of the research show that organizational culture variables and sub-variables, namely artifacts (X1), values ​​(X2), and basic assumptions (X3), significantly influence employee performance productivity (Y). The total effect is calculated using the path coefficient calculation of the significant variables. The total influence of organizational culture in the form of artifacts (X1) on employee work productivity (Y) is 72%, and the total influence of organizational culture in the form of values ​​(X2) on employee work productivity (Y) is 65%. The total influence of organizational culture is in the form of basic assumptions (X3 ) on employee work productivity (Y) of 78%. This shows that the organizational culture variable influences the most significant influence, namely basic assumptions (X3). The Gorontalo district health office can consider the results of this analysis to make further policies regarding which organizational culture priorities will be implemented to increase employee productivity to the maximum.
Effectiveness of High-Altitude Environments on Cardiovascular Ability: A Literature Review
Authors: Gusfiani Amelia , Welis Wilda , Komaini Anton , Zulbahri Zulbahri , Rahman Dally , Zarya Fiky
Published: July 2024

The problem is a lack of a deep understanding of how living at high altitudes affects cardiovascular ability significantly. The purpose of the study was to analyze the effectiveness of living at high altitudes on improving cardiovascular ability based on a systematic literature review. This review includes an analysis of the results of the study which includes improved oxygen transport, physiological adaptation, and long-term effects on heart and vascular health. The results of this review provide insight into the potential benefits and relevance of living at high altitudes in the context of improving cardiovascular health, as well as its implications in the field of sport and public health. The methodology used is a systematic literature review that collects and analyzes the existing literature on the effects of living at a high altitude on cardiovascular ability. The result is that Living in a highland place has been proven to increase immunity. This is due to physiological adaptations that occur in response to environments with lower oxygen content. These adaptations include an increase in the number of red blood cells and oxygen transport capacity in the body, which in turn improves aerobic ability and cardiovascular endurance. Studies show that long-term exposure to high altitudes can result in improved athletic performance and cardiovascular ability in individuals who live or train at these altitudes. The conclusions of this study suggest that living at high altitudes can improve cardiovascular ability through significant physiological adaptations
ABORDAGENS TERAPÊUTICAS NAS LESÕES DO MANGUITO ROTADOR: UM PANORAMA DAS TÉCNICAS CONSERVADORAS E CIRÚRGICAS
Authors: Sousa Pablo Cid Magalhães de , Melo Mariana  Cunha , Ponte Neto Jesus Gerardo Laurindo , Cunha Jonas Silva , Maciel José Carlos Ferreira
Published: July 2024

Introdução: O manguito rotador (MR), um grupo músculo-tendíneo, é composto pelos músculos subescapular, supraespinhal, infraespinhal e redondo menor, que estabilizam dinamicamente a articulação glenou
INTERFACES PARA A VENTILAÇÃO NÃO INVASIVA
Authors: FLORES LARISSA MARTINS , SILVA JÚNIOR NILSON AFONSO DA , PAULA THAÍS DE ANDRADE , MARANHÃO MATHEUS MENDES , BARBOSA CAMILA FREITAS
Published: July 2024

Resumo
Race, Gender, Class, and Perceived Everyday Discrimination
Authors: Yang Philip , Henderson Sharon
Published: July 2024

Everyday discrimination has been studied for the last three decades, but there is a lack of quantitative research on the effects of race, gender, and class, and especially their intersectional effects, on perceived everyday discrimination for the U.S. population as a whole, despite a few studies at the local or group levels. Using new data from the 2018 General Social Survey and multiple regression, this study investigates how race, gender, and class independently and intersectionally shape everyday discrimination experiences in the United States. The results indicate that, holding other variables constant, Blacks self-claimed a significantly higher level of everyday discrimination than Whites, but other races did not differ significantly from Whites in such an experience; class was inversely associated with the level of everyday discrimination, and gender did not have an independent effect. However, while Black men self-reported a higher level of everyday discrimination than White men, Black women self-reported a lower level of everyday discrimination than White women; higher-class Blacks tended to report a significantly higher level of everyday discrimination experiences than lower-class Blacks. The findings have significant implications for research and practice in the area of everyday discrimination.
La implementación pedagógico-curricular en una escuela rural chilena y sus implicaciones potencialmente generativas
Authors: Jiménez-Cruces Luis , Sandoval-Obando Eduardo , Armstrong-Gallegos Stephanie
Published: July 2024

El presente artículo releva la existencia de las escuelas rurales completas en Chile, además de algunos desafíos pedagógicos curriculares propios de dichas entidades educativas: implementar un currículo escolar fundado en lo urbano, pero en contextos de enseñanza rural. De igual modo, visibiliza el alcance generativo que posee aquella implementación curricular, considerando las voces de algunos/as docentes que laboran en dichos centros de enseñanza. Por medio de una investigación cualitativa-fenomenológica, de connotación exploratorio-interpretativa, se estudió la realidad educativa de una escuela rural completa en la provincia Capitán Prat de la región de Aysén, donde nueve docentes oficiaron como informantes. Mediante la aplicación de entrevistas en profundidad, desde la perspectiva narrativa-generativa, se obtuvieron relatos pedagógicos-personales que fueron procesados desde su contenido, siguiendo la lógica de la teoría fundamentada con el apoyo del software Atlas.ti 7. Los resultados develaron la emergencia de algunas macrocategorías que descubren y condensan el fenómeno investigado, destacando entre ellas la profesionalidad docente rural, la implementación pedagógica del currículo escolar vigente y las implicancias generativas que orientan dichas prácticas escolares en favor del desarrollo personal, escolar y social del alumnado rural.
Subjetividad y experiencia: Principios pedagógicos para abordaje del cuerpo subjetivo en medio del internamiento escolar
Authors: Alayón Rodríguez Andrés Ricardo
Published: July 2024

Los internados escolares han sido ampliamente abordados a nivel investigativo en las últimas décadas a partir de una serie de prácticas que configuran un escenario poco idóneo para la formación de niños, niñas y adolescentes. Conceptos como las de institución totalizante (Goffman, 1994) o normalización de la conducta (Foucault, 2002) han permitido develar en posteriores estudios contextuales una serie de prácticas de administración educativa (colonización, normalización, evangelización, civilización, exclusión, homogenización o disciplinamiento) que se sustentan o intervienen el cuerpo de los sujetos que allí estudian desde la noción fenomenológica de cuerpo Körper. El presente artículo pretende evidenciar los riesgos que traen consigo los procesos educativos en internamiento desde la negación de la condición subjetiva del cuerpo de las personas que allí estudian a partir del seguimiento de algunos antecedentes investigativos y contextuales. De igual forma el texto pretende plantear una serie de necesidades pedagógicas que se generan a la hora de abordar procesos educativos en internamiento desde los conceptos de experiencia y subjetividad, lo cual nos lleva al campo fenomenológico del cuerpo Leib. Asunto crucial a la hora de poder plantear diálogos epistemológicos y ontológicos entre la psiquiatría, la filosofía y la pedagogía en cuanto a la necesidad de plantear ofrecer una atención integral en las patologías derivadas del confinamiento forzado y prolongado.
Anti-Populism in Argentina and Greece: Exploring Shared Patterns, Trajectories, and The Impact on Minorities
Authors: Markou Grigoris
Published: July 2024

Our era is characterized by a significant conflict between populism and anti-populism, both politically and culturally. Populist groups and leaders often portray themselves as the true voices of the common people, gaining electoral support or even taking power by framing society as a battle between the ordinary people and the elite, challenging the political and economic establishment. Conversely, parties within the liberal political spectrum counteract the rise of populism by articulating a strong anti-populist discourse, sometimes successfully dominating the political arena. However, despite the increase in studies on populism, there are not many publications regarding anti-populism. This article seeks to examine the anti-populist discourse in Argentina and Greece, two countries with many similarities in political, economic, and cultural aspects. By analyzing the key ideas of anti-populist discourse, we aim to highlight the common anti-populist logic marked by typical paths of modernization, which not only opposes populism but also frequently disregards or opposes specific social groups, such as minorities.
PREGOVORI KRALJEVINE SHS I ITALIJE OD OKUPACIJE RIJEKE DO RIMSKOG SPORAZUMA 1924. GODINE
Authors: Videnović Milan
Published: July 2024

Cilj rada je da na osnovu analize objavljene i neobjavljene izvorne građe prikaže dinamiku i faze u pregovorima između Italije i Kraljevine SHS po pitanju Rijeke. Rad hronološki obuhvata period od italijanske okupacije Rijeke 16. septembra 1923. godine do potpisivanja Rimskog ugovora 27. januara 1924. godine. Kako bi se bolje shvatile političke okolnosti u radu će biti prikazan pregled političke situacije neposredno pre početka direktnih pregovora između Beograda i Rima. Pomenuti period karakteriše zvaničan prelazak pregovaračke inicijative na Momčila Ninčića, ministra inostranih dela Kraljevine SHS. Njegova rešenja u vezi sa Rijekom u velikoj meri bila su formulisana na osnovu stavova kralja Aleksandra I Karađorđevića.
Peran Kepemimpinan Transformasional dan Literasi Digital terhadap Kompetensi Pedagogis Guru dalam Pengintegrasian Teknologi
Authors: Haryanti Marta Lenah , Purbojo Rijanto
Published: July 2024

The success of improving the quality of educational institutions depends on the involvement of a transformational leadership style and digital literacy skills, which are part of teachers' professional competence in using Information and Communication Technology (ICT). This research aims to measure the influence of perceptions of transformational leadership and digital literacy on teachers' pedagogical competence in integrating technology through the Technological Pedagogical Content Knowledge (TPACK) framework. The method used in this research is quantitative research with a simple and multiple linear regression analysis approach. The respondents were 78 teachers at teaching levels 7-12 in two national schools who completed a digital questionnaire. The results show that transformational leadership influences teacher pedagogical competence, digital literacy influences teacher pedagogical competence, and perceptions of transformational leadership and digital literacy influence teacher pedagogical competence in integrating technology. Based on the TPACK framework, which is used as a link between abilities and skills from pedagogical, content, and technology perspectives, the technology component needs to be improved to increase teacher confidence in integrating technology into learning.
Implementasi Metode Multi Attribute Utility Theory pada Sistem Pendukung Keputusan dalam Pemilihan Siswa Unggulan
Authors: Nurhaliza Rizky , Nurwati Nurwati , Santoso Santoso
Published: July 2024

Vocational School of Al Furqon is a private school that annually holds an election of excellent students. Vocational school Al Furqon selects excellent students manually so that the results of the assessment of superior students are less effective. The purpose of our research is to produce a decision-support information system for the selection of Excellent Students at Al-Furqon Batu Bara Vocational School by building a decision-support system using the Multi-Attribute Utility Theory (MAUT) method. The type of research used is quantitative. The research method used to develop this system is the waterfall method which starts from analysis, planning, implementation, and testing. In our research stages are interviews, observations, and literature studies. There are 70 alternatives but only 9 alternatives fall into the criteria, so only 9 alternatives are processed in the calculation. The subject and object of our research is the excellent student of Al Furqon Vocational School. The results of our research are presented in the form of a Decision Support System, the selection for superior students has been successfully implemented in the form of a website that can be accessed universally and anytime using the Internet with the results of the MAUT method calculation, Tantri Agustin Damanik got the highest score, namely with a total score of 1000 and was successfully named as an excellent student according to the calculation of the MAUT method and according to predetermined criteria.
Implementasi Simple Multi Attribute Rating Technique untuk Menentukan Kelayakan Pengajuan Kredit Mobil
Authors: Sinaga Dinda Wanti , Syah Arridha Zikra , Saputra Endra
Published: July 2024

Increasing consumer demand for car loans requires finance companies to make quick and accurate decisions, so there are obstacles such as sufficient time in deciding whether to accept or reject loan applications by consumers. The purpose of this study is to create a decision support system using the simple multi-attribute rating technique (SMART) to assist in determining the feasibility of car loans. This study used a quantitative approach. The system built applies a waterfall model with stages of analysis, design, implementation, and testing. The analysis is carried out to find the needs of the system created, with design using UML, including class diagrams, entity relationship diagrams, and interface design. The implementation phase was carried out at Indomobil Finance Kisaran using consumer sample data from observations and interviews. System testing uses black box testing to see the performance of the system created. Our findings are that there need to be improvements to the data processing process and the duration of time for making decisions on accepting or rejecting car loans submitted by consumers. From the results of black box testing, no system failure was found, so the system is designed to run well and by expectations is to help the company determine the feasibility of car loans submitted by consumers with fast and accurate results.
Inovasi Pembelajaran Musik melalui Audio Visual berbasis Multimedia Interaktif
Authors: Murcahyanto Hary
Published: July 2024

Education in Indonesia faces various challenges, particularly due to the Covid-19 pandemic, which has forced a shift to online learning. However, the use of technology can help overcome difficulties faced by teachers and increase interactivity and student interest in learning music arts. This study aims to evaluate the effectiveness of developing a learning media for staff notation based on Macromedia Flash 8 in enhancing student comprehension. The research methodology follows the Borg and Gall development model, involving the analysis of learning objectives, product design, implementation, expert validation, and field testing. Media content analysis focused on the learning of staff notation introduction. The research results indicate that the developed learning media successfully achieved the learning objectives. Validation by media and material experts showed positive assessments of the media’s design and content. Field testing also showed positive responses from students, indicating increased interest and understanding of staff notation material. Based on the N-Gain score calculations, the use of audiovisual media based on Macromedia Flash 8 for learning staff notation is considered quite effective, with an average N-Gain score of 0.72 and an accumulated N-Gain percentage of 72%. The conclusion of this study is that the development of audiovisual media based on Macromedia Flash 8 is effective in enhancing students' interest, understanding, and learning outcomes in staff notation material.
Developing Optimal Decision Strategies with Markovian Decision Process
Authors: Jay Prakash  , Sarvesh Yadav  , Umesh Sharma
Published: July 2024

The use of Markovian Decision Processes (MDPs) in creating the best possible decision strategies is examined in this research. When outcomes are partly controlled by a decision-maker and partially random, MDPs offer a mathematical framework for simulating decision-making. Finding strategies that optimize cumulative benefits over time while accounting for decision-making's immediate and long-term effects is the main goal. We go over the fundamental ideas of MDPs, such as states, actions, transitions, rewards, and the Bellman equation, which serves as the foundation for figuring out the best course of action. Practical aspects are also looked at, such as computer techniques for solving MDPs and situations in which MDPs work especially well. Decision-makers can systematically examine complicated decision situations by utilizing MDPs, which can result in well-informed and effective decision-making techniques across a variety of areas. Creating methods and algorithms for determining the best policies or decision-making processes within the context of MDPs is another goal. This entails formulating techniques to calculate ideal policies that traverse a series of states and acts in a way that maximizes long-term rewards. The study provides some information about MPs as well as specific conclusions pertaining to martingales. We show the obtained results on a general finite-dimensional filter. This work presents some findings on a general finite dimensional filter, semi-martingale decomposition, Zakai recursion, and related findings about smoothers in different contexts. After deriving the log-likelihood function, it is shown to be both increasing and convergent. Furthermore, the MLE of the parameter has been found.
Harnessing machine learning for predictive maintenance in energy infrastructure: A review of challenges and solutions
Authors: Diptiben Ghelani
Published: July 2024

Predictive maintenance (PdM) has emerged as a vital strategy for optimizing the reliability and efficiency of energy infrastructure. In this paper, we present a comprehensive review of the challenges and solutions associated with harnessing machine learning (ML) techniques for predictive maintenance in the energy sector. The adoption of ML algorithms in predictive maintenance holds immense promise for mitigating equipment failures, reducing downtime, and optimizing maintenance schedules. However, several challenges impede the effective implementation of ML-based PdM strategies. These challenges include the need for large and high-quality data sets, the complexity of integrating heterogeneous data sources, and the interpretability of ML models in real-world settings. To address these challenges, we discuss various solutions and best practices. These include data preprocessing techniques to handle noisy and incomplete data, feature engineering methods for extracting meaningful insights, and model interpretability approaches for enhancing trust and understanding of ML predictions. Additionally, we explore the integration of domain knowledge and human expertise into ML algorithms to improve predictive accuracy and relevance. Furthermore, we examine the role of edge computing and distributed ML techniques in enabling real-time predictive maintenance, particularly in remote or resource-constrained environments. We also discuss the importance of regulatory compliance, privacy protection, and ethical considerations in the deployment of ML-based PdM solutions.
Customer retention strategies used by jubilee insurance in Burundi
Authors: Didace Hatungimana
Published: July 2024

The main purpose of this study was to assess the customer retention strategies used by Jubilee Insurance Burundi. The paper intended to answer to the following questions: what are the strategies used by Jubilee Insurance Burundi to attract customers? What are the challenges faced by Jubilee Insurance Burundi in so far as customer retention is concerned? How can Jubilee Insurance effectively increase its customer base? The results show that Jubilee Insurance Company of Burundi mainly attracts customers through sales representatives (34%) followed by advertisement (24%), Corporate social responsibility programs (18%), sales promotions (16%) and new product/service development (08%). The findings also indicate that the major challenges of customer retention at Jubilee Insurance Company Burundi are affordability of insurance services (32%), ineffective promotion (20%), competition (18%), government regulation policies (16%) and availability of trained staff. Finally, the respondents indicated that the management in insurance agencies need to employ skillful, knowledgeable and qualified marketing workforces (26%) who can effectively market the agency insurance services; they also indicated that the insurance agencies need to improve on delivery quality of insurance services (32%), adopt effective marketing strategies (24%), select efficient channel of advertisement (18%) and as well as advertise aggressively to attract more customers.
Spatiotemporal Analysis of Jorgo Wato Forest Cover Changes, West Wallagga, Oromia, Ethiopi
Authors: Fikadu Kitaba Tola  , Gudina Legese Feyisa
Published: July 2024

A study was conducted in the Jorgo Wato forest, located in the West Wallagga zone and extending to the Buno Bedelle zone of Oromia National Regional State, with the objective of assessing the dynamics of forest cover change in the Jorgo Wato forest over the last three decades (1986–2016). In order to assess forest cover changes, the whole study period was categorized into three periods: 1986–1995, 1995–2006, and 2006–2016. Satellite images from Landsat TM, ETM+, and OLI/TIRS were used in this study. Support Vector Machines for supervised classification and post-classification were used for image classification, with results showing an overall accuracy of up to 99.49%, maximum producer’s accuracies of up to 99.80, and User’s accuracies of up to 100%, while the Kappa coefficient ranged between 96.98% and 99.17%. The result of the change analysis revealed that forests changed from 67.62% in 1986 to 74.77% in 2016, with an average rate of change of 20.13ha/year from 1986 to 2016, whereas farmland changed from 19.60% in 1986 to 12.28% in 2016, with a variation through 30 years and an average rate of change of -20.604ha/year from 1986-2016. Changes in forest cover increment have come from the expansion of coffee plantations and plantations of different tree species by the communities and by Oromia Forest and Wildlife Enterprise till now. Monoculture plantations cannot take the place of a natural forest and cannot support a lot of biodiversity, which is crucial for the management of natural resources. Future maintenance of the region's environmental equilibrium will require a method of combining both systems and concentrating more diverse species.
Discovering temporal frequent patterns: An optimized approach
Authors: Sheel Shalini  , Sweta Kumari
Published: July 2024

Temporal frequent pattern mining is a critical area of data mining that focuses on identifying recurring set of events over time. Traditional methods often face challenges related to scalability, data complexity, and noise, necessitating the development of optimized approaches. This survey reviews the existing literature on temporal frequent pattern mining, highlights the limitations of traditional techniques, and presents recent advancements in optimized methods. The paper also discusses future directions and applications across various domains.
Audit committee attributes and audit report timeliness of quoted manufacturing firms in Nigeria
Authors: Okoro Ngozi Uchenna  , Abugu Nneka Jacinta  , Umeh Anthony Chinedu
Published: July 2024

The study examined the effect of audit committee attributes on audit report timeliness in quoted manufacturing firms in Nigeria. Other specific objectives were to: assess the effect of audit committee independence and audit committee size, on audit report timeliness in quoted manufacturing firms in Nigeria over the period of 2017-2022. This study adopted quantitative research design. The study selected four listed manufacturing firms in Lagos were Unilever Nigeria PLC, Nigeria Breweries PLC, UAC Foods PLC and Cadbury Nigeria PLC. The data analytical techniques were descriptive statistics, correlation analysis and Generalized Panel Ordinary Least Squares (GLS). The empirical result showed that audit committee independence has positive and significant impact on audit report timeliness in quoted manufacturing firms in Nigeria (t-statistic; 2.9267; P-value; 0.0043 < Sig-value; 0.05); audit committee size has positive and significant impact on audit report timeliness in quoted manufacturing firms in Nigeria (t-statistic; 2.9267; P-value; 0.0043 < Sig-value; 0.05). The study recommends that management of manufacturing firms should board should be on the bases of age and experience not on friendship since it positively relates to performance and to the probability of disciplinary management turnover in poorly performing manufacturing firms.
Web-based application of descriptive statistics for data dispersion analysis to support statistic learning
Authors: I Gusti Agung Sadnyana Putra  , I Ketut Suja  , I Gusti Agung Ayu Uttami Vishnu Putri
Published: July 2024

Statistics is a branch of science that studies ways of collecting, processing, presenting, analyzing, interpreting and drawing conclusions from data. Descriptive Statistics is a part of statistics that carries out the tasks of collecting data, classifying, processing and presenting quantitative data. Statistics has a very important and necessary role in various areas of life, so that statistics courses are taught in almost all departments, both exact and non-exact, at various educational institutions. A common problem found in studying statistics courses is that students in non-exact majors are less interested in courses involving numerical data processing, so that learning outcomes for this course are generally relatively low. With advances in information technology, several statistical applications have been developed, but these applications directly present the final results of data processing without displaying the steps to obtain the final results. This is inadequate from a learning perspective, because students do not get a clear picture of the steps for solving problems based on statistics. This research uses the method waterfall [8] [9] or linear sequential, namely a sequential and systematic software development method consist of : Analysis, Design, Coding and Testing. The result of making this application is an analysis of data dispersion measures consisting of Range, Inter Quartile Range, Quartile Deviation, Average Deviation, Standard Deviation, Variance, Coefficient Variation and Coefficient Quartile. This application will show in detail the steps to solve the problem according to theory, formulas and calculation steps to get the final result. These results will make it easier for students to understand and it is hoped that this course will be presented more interestingly and ultimately increase learning outcomes.
Advancing precision in pipeline analog-to-digital converters: Leveraging MATLAB for design and analysis in next-generation communication systems
Authors: Joseph Nnaemeka Chukwunweike  , Chinonso Emeh  , QS Husseini Musa Kehinde  , Caleb Kadiri
Published: July 2024

The integration of MATLAB in designing and analyzing pipeline Analog-to-Digital Converters (ADCs) addresses the complexities of next-generation communication systems. This study reviews literature to identify trends and challenges in high-speed ADC designs. Mastery of MATLAB and its toolboxes, like Simulink and Signal Processing, is essential for advanced ADC modeling and analysis. Key challenges include maintaining accuracy with diminishing supply voltages in modern semiconductors. The study explores incorporating high-voltage analog components and develops strategies for superior accuracy using low-voltage transistors. MATLAB and pipeline architecture are crucial for advancing ADC design, providing innovative solutions for next-gen communication systems.
Assessing female anopheles mosquito susceptibility to three insecticide classes in Ilorin metropolis Nigeria: Implications for environmental management and effective vector control
Authors: Folashayo Oluwabunmi Asekun  , Franklin Chinazor  , Ebelechukwu  , Ademola Uthman Ajibola  , Olabode Yomi David
Published: July 2024

This study investigates the environmental factors affecting the susceptibility of Female Anopheles mosquitoes to three classes of insecticides in Ilorin, Kwara State, Nigeria, following WHO standards. The analyzed breeding sites showed severe water pollution, with low dissolved oxygen, high conductivity, and heavy metal contamination. Anopheles mosquito populations at two of the five breeding sites, Akanlanbi and Aminlengbe, were resistant to all three insecticide types tested. The mosquitoes in Aminlengbe exhibited higher resistance to organochlorine (71% mortality), organophosphate (73%), pirimiphos methyl (73%), and carbamates (83%) and bendiocarb (88%) compared to those in Akanlanbi, which had lower resistance to pirimiphos methyl (94%) and carbamates (67%) and bendiocarb (86%). In contrast, mosquitoes from the other three sites (Edun, Niger, Shao-garage) were mostly susceptible (98%-100%) to the organophosphate insecticide pirimiphos methyl but showed varying susceptibility to the two carbamate insecticides tested (propoxur and bendiocarb). Mosquitoes at these sites were 98.4%-99.5% susceptible to bendiocarb, yet resistant to propoxur (88.7%-94.6%). The study attributes environmental pollution at these breeding sites to historical agricultural practices, industrial activities, and improper waste disposal, contributing to insecticide resistance among mosquito populations. This resistance poses significant challenges to malaria vector control efforts in Ilorin. The study emphasizes the urgent need for integrated vector management (IVM) strategies that incorporate environmental management into vector control plans. This study therefore recommends adopting pesticide and fertilizer degradation strategies, improving waste management practices, implementing comprehensive IVM approaches, developing supportive policies, and enhancing community awareness and participation to mitigate mosquito-borne diseases and ensure effective malaria control amidst rising insecticide resistance.