bluuebunny/crossref_metadata_2025 huggingface dataset:
Aeromagnetic Anomalies and Tectonic Trends in and Around the Southern Part of Sokoto Basin, NW, Nigeria, using the Enhancement Filtering Techniques
Authors: Abubakar Adamu , Abubakar Sadiq Alhasan , Idris Augie Abdulrahman , Muhammad Fana Mubarak , Umar Hadiza , Umar Sufyan , Muhammad Kaura Aliyu , Godfrey Ugbena Kelvins , Olatunde Abdulrahman
Published: August 2024

The Taloka formation Sokoto Basin, Nigeria, was studied in an effort to discover and map the structural features favourable for metalliferous mineral deposits. High-resolution aeromagnetic data was subjected to structural analysis in order to map and highlight structural lineaments and their trends, as well as the depth of magnetic source bodies. Several digital filtering approaches were used to analyze, process, and interpret the data, including total gradient, total horizontal derivative of tilt of angle derivative (THDR_TDR), source parameter imaging (SPI), and spectral depth analysis. The RTE method was employed to prevent the North-South signal from predominating the results because the area was within the low latitude zones. The eastern Gundumi formation (Marafaro, Rujin Tsamia, Kwanawa, Dande, and Rikaka), the northeastern Taloka formation (Dutsen Bature, Bange, and Kumazo), and the western Taloka formation (Bejiji, Bagu, Danjiru, Baranzaki, and Awakala) are all found to have low amplitude magnetic anomalies. The research area exhibits magnetic anomalies with strong amplitudes (0.078 nT/m), which are consistent with the total gradient (AS) approach and might be caused by ferromagnetic minerals like iron stone. The aforementioned filters were also used to outline the lineaments (such as faults, fractures, or shear zones) believed to be associated with alteration zones, which are essential in locating the mineralized zones. The lineaments typically trend in the E-W, NW-SE, and NE-SW directions. Utilizing the SPI techniques, the depth of occurrence of the causative bodies was found to be below 250.3 m. The crustal magnetic field values were utilized to generate the two-dimensional Fourier transforms, from which the radial spectrum was recovered. The depth values were calculated using the slopes of the sixteen sections' spectrum energy against frequency graph. According to the findings, the study area's deeper depth lies between 1.10 and 1.69 km, while its shallower depth lies between 0.39 and 0.90 km. The study finds that alteration zones may harbour minerals and that the thickness of the sedimentary layer may not be sufficiently buoyant to support the build-up of hydrocarbons but will enhance the possibility of other mineralization.
Enhancing the Identification of Brain Tumours Using the CNN Ensemble Model
Authors: Mohi Uddin Anando  , Rabbi Hasan Himel  , Shifar Tanjam
Published: August 2024

The early and accurate detection of brain tumors is a critical challenge in diagnostics and healthcare due to the severe consequences of delayed diagnosis. This paper addresses this issue by employing an ensemble of Convolutional Neural Network (CNN) models to enhance the identification of brain tumors using MRI images. The methodology integrates pre-processing techniques such as image augmentation, Gaussian blurring, and Sobel edge detection to improve image quality. Various CNN architectures, including Scratch CNN, InceptionV3, Xception, EfficientNetB0, ResNet50, and VGG19, were evaluated alongside machine learning classifiers such as AdaBoost, Random Forest, SVM, KNN, and SoftMax. Among these, EfficientNetB0, Xception, and InceptionV3 demonstrated superior performance, achieving the highest classification accuracy of 98.67% and an average accuracy of 96.90%. This research underscores the significance of selecting appropriate models and classifiers for medical image classification and highlights the potential for further advancements in clinical applications.
Risk Assessment of X-Chromosomal Recessive Inheritance using Bayesian Approach: A Simulation Study
Authors: Sogir Sajjad Bin , Ahamed Kawser , Roy Pranto , Hassain Emon Hasibul , Moinur Rahman  , Sarker Soham , Zaman Tanjum Maheen , Basak Tapati
Published: August 2024

The main objectives of this study were to extract characteristics and to examine the transmission of a trait (disease) through X-linked recessive inheritance patterns in families. The assessment of the risk of inheriting a specific genotype, based on frequentist and Bayesian techniques as well as a comparison between the two approaches, which was the additional objective. To fulfil the objectives, data were simulated for six families, which were then subdivided into three cases. Pedigree analyses were done for the three cases with genotypes and genotypic probability, which was based on the frequentist approach.  The genotypic probability for a particular individual remained consistent regardless of family size for a certain set of parents. In the case which was consisted of two families with 28 individuals over six generations, the Bayesian approach was also applied to assess the probability of affected status for a particular individual where the individual had 5% lower probability of being affected male, unaffected male, or carrier female using the Bayesian approach than the frequentist (genotypic) approach, whereas 15% higher probability was found by using the Bayesian approach than the frequentist approach of being unaffected female.
Enhancing Cybersecurity: Machine Learning Approaches for Predicting DDoS Attack
Authors: Ferdous Farhan Sadik , Biswas Tapu , Jony Akinul Islam
Published: August 2024

Dealing with network security has always been challenging, particularly with regard to the detection and prevention of Distributed Denial of Service (DDoS) attacks. Attacks like DDoS bring threats to the network by violating its availability to the probable people who are in need of using that particular server. It is a type of cyber-attack where a network is flooded with a huge amount of traffic, overwhelming the system, and making it unavailable. This type of attack focuses on making the service unavailable to rightful users, without breaching the security perimeter. In a DDoS attack, a master computer hacks a network of vulnerable computers to send a huge quantity of packets to a server from already captured zombie computers. Researchers have suggested various Machine learning (ML) algorithms to detect such attacks. To study and analyse DDoS attacks, researchers have used the CIC-DDoS2019 dataset. To find out how often a DDoS attack happens to a server along with the possible pattern of the attack and type of the attack. This dataset is utilized to train and evaluate ML models for detecting DDoS attacks. In this paper, the primary objective is to propose a decent version of DDoS dataset for investigation and evaluate the performance of various state-of-the-art classifiers, such as Gaussian Naïve Byes (GNB), Bernoulli Naïve Byes (BNB), Random Forest (RF), ID3 Decision Tree (ID3 DT), Logistic Regression (LR), K-Nearest Neighbors (KNN), AdaBoost, CART, and Bagging Classifier ML algorithms to detect DDoS attacks accurately. Along with that, the experimenter showed that DDoS attacks can be identified even more accurately if the attacks are stored in a binary way rather than categorized into 13 different types of attacks in the dataset.
Affordable Colorant Removal Using Activated Carbon of Potato Leaves: A Sustainable Alternative
Authors: Kiran V. Mehta
Published: August 2024

The current study shows that using a batch approach to remove colourant (DSDCBS) from water is feasible when using activated carbon obtained from potato leaves as an adsorbent. In order to investigate the effects of parameters, including starting concentration, pH effect, adsorbent dosage, contact time, and temperature, experiments were carried out under various operating conditions. The influence of pH and colourant concentration was shown to be substantial. Langmuir and Freundlich isotherm models were fitted to equilibrium data. The outcomes highlight the applicability of the affordable, locally accessible adsorbent in the speciality area of wastewater treatment and can be used in commercial colourant-enriched effluent.
Evaluation of In Vitro Antibacterial Efficacy of Methanolic Root Extract from D. zibethinus Murr. Against Gram-positive and Gram-negative Bacterial Strains
Authors: Adeniyi Sunday Adegoke , Agbugui Peter Agbomire , Akpoka Obhioze Augustine , Solanke Ezekiel Olatoye
Published: August 2024

Bacterial and viral infections represent some of the most difficult diseases to treat in humans due to resistance to most of the therapeutic agents. The emergence of drug resistance factors that have threatened the efficacy of all antibacterial agents prompted the investigation of antimicrobial activity studies of methanol extracts from Durio zibethinus Murr. This study is focused on evaluating the phytochemical properties, antibacterial efficacy of methanolic root extract of D. zibethinus Murr. against gram-positive bacterial strains (Staphylococcus aureus and Staphylococcus epidermidis) and gram-negative bacterial strains (Klebsiella pneumonia, Escherichia coli and Salmonella typhi). Phytochemical properties of methanolic root extract of D. zibethinus Murr were investigated using qualitative analysis, while the antibacterial was evaluated using standard agar disc diffusion technique. The results revealed the presence of alkaloids, saponins, tannins, flavonoids, terpenoids, steroids, glycosides, and phenolic compounds in the D. zibethinus Murr. root. It also indicated that the root extract exhibited antibacterial activity against S. aureus, S. epidermidis, K. pneumonia and S. typhi at a range of 12.07 – 24.01 mm at the highest concentration of 150 mg/mL relative to standard gentamicin antibiotic. The minimum inhibitory concentration (MIC) for S. aureus was 0.250 mg/mL, whereas it was 0.125 mg/mL for S. epidermidis, K. pneumonia and S. typhi. In the present study, root extract of D. zibethinus Murr. showed the highest antibacterial activity against S. aureus. Hence, D. zibethinus Murr. root can be used as new source for antibacterial substance.
Analyzing the Effectiveness of Artificial Intelligence as a Counselor to Gen Z’s Mental Health in Pakistan
Authors: Saleem Haleema , Gohar Hamda , Khan Hamna , Hassan Eman , Sajid Iqra
Published: August 2024

Heavy reliance of Gen Z on technology, specifically during Covid 19 pandemic, in the escalating mental health issues presented opportunities for innovative solutions. AI based mental health support facilities can be a promising tool in overcoming a lot of these issues in this digital generation. This study seeks to employ AI based solutions in mental health support field and how effective it will prove to be in near future in Pakistan, considering the perceptions of Gen Z regarding these solutions. A phenomenological research design was used for the study, where students from universities of Islamabad, having mental health problems, were included in the sample. The study followed an inductive approach. Experiences of ten students from the sample were collected by conducting semi-structured interviews and deeply studied to draw the results. Positive aspects (accessibility and efficiency), three negative aspects (unawareness, lack of emotional quotient, and ethical concerns) and other suggestions (improvements, academic pressure, societal pressure, and collaboration with professionals) emerged about AI powered mental health support among GenZ. In Pakistan, integrating AI-powered mental health solutions faces hurdles like public skepticism and data privacy concerns. By doing collaborative partnerships and addressing societal taboos, these innovations hold the potential to reshape mental health care accessibility and effectiveness in the nation.
Emotional Distress, Communication Patterns and Relationship Dissatisfaction among Married Couples
Authors: Choudary Shumaila Saleem , Khan Muhammad Luqman , Atta Naheed
Published: August 2024

The purpose of the present study was to measure the relationship between the effects of emotional distress, communication patterns, and relationship dissatisfaction among married people. After the review of the literature, the following hypotheses were formulated. i. There would be a significant difference that prevailed between the effects of emotional distress, communication patterns, and relationship dissatisfaction among married people. ii. Emotional Distress would predict significant differences in communication patterns and relationship dissatisfaction among married people. iii. Communication patterns have a significant impact on relationship dissatisfaction among married people. iv. There would be a significant relationship between emotional distress, communication patterns, and relationship dissatisfaction among married people.  In the current study total of 200 students will be included 100 females and 100 males. To calculate the data following psychological measures be used, the Communication Patterns Questionnaire, The Kessler Psychological Distress Scale (K10), and Relationship Assessment Scale. The results show that there is a significant relationship between emotional distress, communication patterns, and relationship dissatisfaction among married people. Results will be analyzed through SPSS’s latest version by Regression, T-test, and Pearson Correlation.
Cloud-Vergaberecht
Authors: Schuchert Moritz
Published: August 2024

This thesis demonstrates in detail that the various public procurement law instruments in combination provide a sufficiently flexible legal framework to meet all requirements arising from the state use of cloud services. For this purpose, the legal and political challenges of the governmental use of cloud services are worked out in detail in order to then present solutions within the (german) public procurement law. The thesis is therefore both a manual for specific legal issues arising in the public procurement of cloud services and a comprehensive orientation for the entire process of moving state IT to cloud infrastructures.
Crowd-Crush
Authors: Gafus Samuel Meinrad
Published: August 2024

A crowd crush is a situation in which people are harmed by the pressure exerted on them by bystanders in a crowd. A well-known example is the 2010 Love Parade in Duisburg with 21 fatalities. Surprisingly, the topic has received virtually no attention in civil law literature to date. This work brings together interdisciplinary findings from the fields of traffic physics, sociology and behavioural psychology on the subject of crowd crushes. From this, the professional obligations of the organiser and the operator of places of assembly are derived, taking into account administrative law, and the possible claims for damages are presented, taking into account the procedural problems.
Human capital development strategies in the oil industry
Authors:   zerbaijan State Oil and Industry University, Sadigova S.S , Rasulova F.N ,   Azerbaijan State Oil and Industry University
Published: August 2024

Purpose Petroleum industry is a sector that includes exploration, production, processing and distribution of petroleum products. Industry plays an important role in the global economy, providing fuel for transportation and energy production. The industry is also highly regulated due to its environmental impact, and companies must adhere to strict safety and environmental standards. As a result, companies in the industry have had to adapt their business models and invest in new technologies to remain competitive. Method The purpose of this article is to explore different strategies for human capital development in the oil industry. The study was conducted using a qualitative research methodology that involved conducting semi structured interviews with HR managers and industry experts. Findings Research findings show that the most effective human capital development strategies in the oil industry include on the job training, mentoring programs, and talent management initiatives. In addition, the study found that successful implementation of these strategies requires strong leadership, employee engagement, and a commitment to lifelong learning. Overall, this article highlights the importance of human capital development in the oil industry and provides practical insights for companies looking to improve their talent management practices.
Understandıng the added market value
Authors:   Azerbaijan University of Architecture and Construction, Mammadov I.N
Published: August 2024

This article explains the concept of market value added MVA. The MVA concept is used to evaluate the effectiveness of corporate governance and shareholder value creation based on market valuation. MGI conducted research on the impact of technological innovation on business and the economy.
The role of capital markets in attracting investments in the republic of Azerbaijan
Authors:   Azərbaycan Dövlət İqtisad Universiteti, Yəhyayeva Ü.F
Published: August 2024

The article examines the current state of capital markets in the Republic of Azerbaijan, the role of capital markets as a source of investment financing. It is known that in the modern era, the role of investments in the development of every country is of particular importance. Investments ensure safe economic growth and competitiveness in the countrys economy, and create the basis for raising the standard of living of the population. In order to ensure the growth of investments, it is considered necessary to expand and improve the market infrastructure, and to ensure economic growth, to direct investments to the priority areas of the economy, and to increase the share of science intensive areas in the structure of the economy. It should be noted that the sources of investment financing are also different. In this regard, capital markets are of particular importance. Because they are considered less risky compared to other financing sources. In recent years, financing processes through capital markets have expanded in our republic.
nalysis of financial market activity in the republic of Azerbaijan
Authors:   Azərbaycan Dövlət İqtisad Universiteti, Əmrahlı A.A
Published: August 2024

The article is related to the investigation of its perspective factors for the integration of Azerbaijan in trade in the world financial markets, which is currently spreading rapidly. In the article, the development of Azerbaijans financial markets in recent years, the application of new financial instruments and technology, innovations in this field were examined, and a separate analysis of the existing financial markets in the Republic of Azerbaijan was carried out. Before the analysis, research was conducted on the existing financial markets in the Republic of Azerbaijan, and information was provided on their development directions and factors affecting their development. As well, the reserves taken for the security of the financial markets in the country, as well as the laws, the regulatory mechanisms established in this framework and the institutions created for this purpose were discussed. In conclusion, the impact of financial markets on the overall investment environment in Azerbaijan was discussed. Proposals and recommendations were made for developing this market and increasing its role in the economy.
Electronic human resource management and its functions in modern era
Authors:   Azərbaycan Dövlət İqtisad Universiteti, Mehraliyeva A.R
Published: August 2024

In the modern era, the new opportunities created by digitalization significantly impact economic processes. These changes manifest themselves across various levels in all sectors of the economy. The alterations occurring in the management of human resources are also a result of contemporary digital transformation. Organizations are striving to enhance their efficiency and stay competitive by leveraging modern technology in every operational aspect, including production, supply, sales, and management. These changes lead to the emergence of new approaches in managing what is considered one of the primary resources of an organization: human resources. Electronic Human Resource Management is precisely a concept born out of the contemporary era of digitalization. It underscores the necessity for agile and adaptive HR management systems capable of handling resources possessing high levels of knowledge, skills, and the ability to manage these resources effectively. This article on Electronic Human Resource Management is primarily aimed at exploring the inception of this concept and the innovations occurring in the functions of human resource management.
Enhancing Educational Comic Book Innovation Through Design Thinking
Authors: Chairunnisa Ainaya , Suharto Yulianto
Published: August 2024

Indonesia's significant demographic dividend presents a valuable opportunity that should be leveraged to achieve the vision of Indonesia Emas 2045, with a key focus on enhancing educational quality. Despite government efforts to increase the number of schools, the quality of education in Indonesia still lags behind international standards. To address this issue, the Indonesian government needs to develop a learning environment that caters to students' diverse needs and learning styles, particularly in Mathematics. Technological advancements have introduced innovative educational tools, including math educational comics. This research aims to develop an innovative math educational comic that aligns with students' and parents' needs and preferences, utilizing the design thinking approach. Data was collected through semi-structured interviews with the target customers of this product—the analysis of this data involved open coding, pattern coding, and triangulation to ensure validity. The findings indicate that while the product aligns with the respondents' needs and preferences, there is room for improvement in the comic's sentence structure. Feedback from participants should be carefully considered before finalizing the product, underscoring the importance of design thinking in effectively addressing the needs and preferences of the target audience.
The Effect of Chat Generative Pre-Trained Transformer and Storytelling on Communication Response in Lampung Geh's Video Content
Authors: Hernawan Wawan , Basri Hasan , Rizki Aryshena Renanda
Published: August 2024

The development of digital technology has brought significant changes in how content is consumed and delivered to audiences. In this era, technologies such as Chat-GPTand Storytelling techniques are increasingly popular in video content creation, including on platforms such as Lampung Geh. This study aims to determine the effect of Chat Generative Pre-Trained Transformer and Storytelling on Communication Response on Lampung Geh Video Content. The method used in this research is quantitative. This study involved 300 respondents using an online questionnaire consisting of 14 questions. The data were analyzed using validity, reliability, and classical assumption tests such as normality, multicollinearity, and heteroscedasticity tests. The results showed that the use of Chat Generative Pre-Trained Transformer and Storytelling together significantly influenced the Communication Response of Lampung Geh audience. Individually, both variables X1 and X2 each influence variable Y. The coefficient of determination shows that Chat Generative Pre-Trained Transformer and Storytelling can explain 58.4% of the variability in Communication Response. In comparison, other factors influence the remaining 41.6%. This research provides valuable insight into the relationship between using artificial intelligence chat-GPT and Storytelling with Lampung Geh's audience's communication response. The research has implications for providing valuable insights into the relationship between the use of Artificial Intelligence Chat-GPT and Storytelling with the Communication Response of the Lampung Geh audience. The implication is that the use of AI technology and effective storytelling techniques can increase audience interaction and engagement so that it can be an essential strategy for creating more exciting and influential video content.
Antibiofilm Activity of Silver Nanoparticles Synthesized from Seed Extract of Garcinia Kola
Authors: Patricia Okonofua Eghe , Nkene Istifanus Haruna , David Bando Christopher , Hannah Nuhu Tubasen , Ngozi Odii Josephine , Rebecca Ayodele , Odii Umahi Onu
Published: August 2024

Silver nanoparticles from plant extracts are novel compounds with potential antimicrobial properties. Studies on antibiofilm activity of Ag-NPs synthesized from seed extracts of Garcinnia kola (G. kola) were carried out. Garcinnia kola seed were obtained from Keffi market, Nigeria. Green synthesis of Ag-NPs from the seed was carried using 2.0mm silver-nitrate by use of standard method. The Ag-NPs synthesized from the seed were characterized using former transmission infrared (FITR) spectroscopy and scanning election microscope. The antimicrobial activity of the Ag-NPs against Klebsiella pneumonia (Kp) isolates were carried out using agar dilution method. The biofilm formation by the isolates as well as the inhibition and dissolution by Ag-NPs were eval__uated using microplate method. The functional groups detected in the Ag-NPs were N-H, C-O, N-O, and CΞC with peaks 906.5cm-1,1282.2cm-2, 13344cm-1, 1550.6cm-1 and 217.1cm-1 respectively. The size of the particles ranges from 179-296nm. The minimum inhibiting concentration (MICs) of the particles and meropenem against the isolates were 250µg/l and 4.0µg/l. The functional inhibiting concentrates of the particles were 1.0. The optical clarity of biofilm formed by the isolates was 2.073 and 2.049. the percentage biofilm inhibiting effects of the particles was highest apart. KpC (K. Pneumoniae ATCC BAA 1075) with percentage inhibit ranges from 27.28-21.67% at 80-12.5% of the MICs. The percentage inhibiting effect of Ag-NPs in with meropenem was highest at MICs but low in MIC 12.5 with percentage inhibition 28.26% and 27.18%. The Ag-NPs alone and antibacterial activity and biofilm inhibiting effect while Ag-NPs in with meropenem had effect but against isolate but with potential antibiofilm activity.
The role of gender-based factors on the levels of student participation in eLearning in select universities in Nairobi City County, Kenya
Authors: Thua Josephine Nyambura , Okemwa Pacificah , Mwatha Regina , Malenya Francis
Published: August 2024

eLearning is an attractive mode of learning that provides easy access to education to students who would otherwise be disadvantaged by social, economic and geographic impediments to educational advancement. There is limited information on the role of the digital gender divide and gender-based factors in participation in eLearning in universities. The study aimed to assess the gender disparities in learner participation whose indicators were defined as login frequency, breaks within a session, study location, and student-instructor interaction. This was a descriptive study using multistage sampling with a sample size of 395 students and 32 KII. A questionnaire, key informant interview guide, and content analysis were used as the data collection tools. Data was quantitatively and qualitatively analysed. The study found that men's frequency of login to LMS was higher than women's. Women (71.7%) were observed to have fewer breaks than men (65.9%). The reasons for the breaks were poor or unstable internet, caregiving, and work-related engagement. Women spent more time per session (119.06 minutes) compared to men (109.74 minutes). Based on the findings, strategies were proposed to mitigate these factors. The importance of this study is it provides baseline data that can be used to formulate policies that are gender responsive and will contribute to the promotion, enhancement, and sustenance of eLearning for educational advancement. This study was carried out during the COVID-19 pandemic which required most data to be accessed virtually. There was reluctance to fully disclose information by universities which treated the information as confidential.
Introduction and Training of IT Entrepreneurs for the People of Kalidoni RT District. 34 RW.07
Authors: Oktarina Serly , Ubaidillah Ubaidillah , Syaputra Hadi , Zubaidah Siti , Nearti Yuwinti , Hermansyah Hermansyah , Ahmadi Zahra
Published: August 2024

The aims of this service are (1) to improve the quality, insight and awareness of teenagers about the importance of science and technology skills in competing in the era of globalization and being able to utilize technology in entrepreneurship so that their standard of living changes for the better. (2) to provide understanding for the community related to Entrepreneurship. The methods used are (1) Theoretical basic knowledge of computer practice to support computer training. (2) Evaluation of theory & practice test. The results show that (1) Participants understand the importance of non-formal education guidance services and instill social values in the youth who are the target of the activity. (2) It is the best solution to overcome the problem of a lack of knowledge of science and technology in society. It can be concluded that the low quality of human resources has become a polemic in the community, therefore, with computer training, participants are expected to be able to apply it well in the world of work and education and take advantage of science and technology skills in online entrepreneurship.
Menentukan Purchase Order Dengan Metode Weighted Moving Average Berbasis Web (Studi Kasus: CV. Gilang Mandiri Tasik)
Authors: Versanika Dayanni Vera , Yusmansyah Efrizal Fikri , Novianti Mira
Published: August 2024

CV. Gilang Mandiri Tasik adalah salah satu perusahaan yang menjual berbagai macam produk seperti sembako, biscuit, snack dan masih banyak lagi yang lainnya. Permasalahan yang sering dihadapi dalam proses manajeman persediaan adalah resiko terjadinya overstock. Maka diperlukan sistem untuk memprediksi stok diperiode yang akan datang dengan acuan data dari periode sebelumnya. Penelitian ini menggunakan metode Weighted Moving Average. Metode Weighted Moving Average merupakan Metode rata-rata bergerak yang banyak digunakan untuk menentukan trend dari suatu deret waktu.
Dalam uji coba sistem penulis meneliti data yang dikumpulkan yaitu data transaksi pada CV. Gilang Mandiri Tasik dari bulan ke November 2021 sampai April 2022. Sesuai yang di analisis, data 6 bulan kebelakang (periode transaksi penjualan) dengan nama jenis produk Minyak Goreng Resto, dianalisis menggunakan periode moving 3 bulan dan jumlah periode yang diramal 2 bulan kedepan. Diperoses dengan sesuai rumus WMA menghasilkan : MSE (Mean Squared Error) = 20,136,574.07, RMSE (Root Mean Squared Error) = 4,487.38, MAE (Mean Absolute Error) = 2,861.11, MAPE (Mean Absolute Percentage Error) = 38.33%. Maka diketahui hasil prediksi untuk memenuhi stok 2 bulan kedepen (Mei 2022 = 6,083 Stok) dan (Juni 2022 = 6,708 Stok).
PERANCANGAN SISTEM INFORMASI LITERASI MENGGUNAKAN METODE R&D DI SMK GEMA PELITA
Authors: Kartaputra Dani Pradana , Apriady Dedy , Sulastri
Published: August 2024

Students' interest in reading at various levels of education has continued to decline in recent years. This decline in reading interest can have a negative impact on students' academic abilities and personal development. Therefore, increasing students' interest in reading is a major challenge in the world of education. To face this challenge, researchers developed a Literacy Information System Using the R&D Method at Gema Pelita Vocational School which aims to increase students' interest in reading through innovative technology-based approaches. The Literacy Information System that was built provides access to various reading materials according to students' reading interests. Apart from that, there is also a literacy event feature which aims to develop students' writing literacy skills. This Literacy Information System also provides a recapitulation of student reading, graphs of student reading literacy progress, and literacy progress statistics to see the literacy progress of each student. With this Literacy Information System, it is hoped that students will be able to increase their interest in reading and be able to develop their creativity through the works they create.
IDENTIFIKASI TANAMAN OBAT HERBAL BERBASIS CITRA
Authors: Rahayu Mina Ismu , Jaenal Rahmat , Risyandi Muhammad Handy
Published: August 2024

The Image-Based Herbal Plant Identification System or DETAMO is an application developed to assist the public in identifying medicinal plant species. The method involves teaching about herbal plants using image processing technology, employing Convolutional Neural Network (CNN) architecture. The acquired learning serves as the basis for mobile-based plant identification. Research findings demonstrate sufficient accuracy in recognizing various types of medicinal plants and provide alternative recipes for utilizing these herbal plants. The proposed system also manages variations in images caused by differences in lighting, position, and plant growth conditions.
ANALISIS DAN IMPLEMENTASI LIP READING (GERAKAN BIBIR) MENJADI TEXT PADA PENGGUNAAN BAHASA INGGRIS
Authors: Versanika Dayanni Vera , Versanika Faiqunisa , Hidayat Julia Arisanda
Published: August 2024

Dalam era globalisasi yang terus berkembang, komunikasi menjadi semakin vital. Kemajuan teknologi membuka peluang baru untuk berkomunikasi secara internasional, mendorong kebutuhan akan kemampuan bahasa asing. Bahasa Inggris, sebagai bahasa global, memiliki peran sentral dalam komunikasi global. Namun, belajar Bahasa Inggris memunculkan tantangan, terutama dalam memahami hubungan antara pengucapan dan penulisan kata. Hal ini menjadi fokus utama penelitian ini. Penelitian ini mengusulkan metode baru berbasis deep learning dan arsitektur Convolutional Neural Network (CNN) untuk menerjemahkan gerakan bibir menjadi teks dalam Bahasa Inggris. Penggunaan teknologi ini diharapkan dapat membantu individu yang mengalami kesulitan memahami teks Bahasa Inggris saat diucapkan, meningkatkan kemampuan komunikasi, dan memungkinkan partisipasi aktif dalam situasi di mana pemahaman Bahasa Inggris lisan sangat penting. Hasil eksperimen menunjukkan potensi sistem ini dalam mendeteksi gerakan bibir pada video dan menerjemahkannya menjadi teks, meskipun masih menghadapi kendala dalam variasi posisi mulut, wajah, dan perbedaan pengucapan. Meskipun demikian, implementasi teknologi ini dapat menjadi langkah awal yang signifikan untuk mengatasi kendala bahasa dan memfasilitasi komunikasi yang lebih baik di era globalisasi ini.
The Active Ingredients and Therapeutic Effects of Cinnamon: A Review Article
Authors:   Department of Pharmacology and Toxicology, Faculty of Pharmacy, University of Kufa, Najaf, Iraq, Al-Joubouri Zainab Tawfeeq , Al-Sheikh Warqa,a Muhammed Shariff ,   Department of Basic Science, Faculty of Dentistry, Al-Qadisyah University, Iraq, Al-Saadi Sahar A. A. Malik ,   Department of Biology, College of Science, Basrah University Iraq, Qader Karzan Omer ,   Department of Biology, College of Science, Sulaimani University, Iraq, Al-fahham Ali A. ,   Faculty of nursing, University of Kufa, Iraq
Published: August 2024

Cinnamon is used in knocking and medicine for many centuries and in different countries. Several researches about cinnamon have exhibited its curative potentials, which include: immunomodulatory, gastroprotective, antidiabetic, antilipemic, antihypertensive, antitumor, antioxidant, antifungal, antiviral, antimicrobial. Cinnamaldehyde, Eugenol and Beta-caryophyllene are the major active ingredients in cinnamon. The mode of action for the therapeutic effects indicating the anti-diabetic and antihypertensive activities of cinnamon and its chemical components have not been deeply investigated. May systematic review articles have found that the taking the extracts or having cinnamon tea have potential antidiabetic effects. Researches about the action of cinnamon on hypertension still debated. However, a number of experimental trials have found significant antihypertensive effect for cinnamon. This review cast a brief light on the active ingredients and the activity of cinnamon in the reduction of high blood pressure and hyperglycemic status.
Task-Based Language Teaching: A Pedagogical Approach for Improving English Proficiency: Analysis of Private Schools in Erbil
Authors: Kawa Shokhan , Nidham Lara
Published: August 2024

This research study investigates the relationship between Task-Based Language Teaching (TBLT) and English language proficiency among students in private schools in Erbil, Kurdistan. The study is underpinned by communicative language teaching principles and second language acquisition theories, which emphasize the importance of meaningful communication and contextual learning. The research hypothesizes that TBLT is associated with improved language proficiency, enhanced intrinsic motivation, and increased confidence in using English for real-life communication. The study's findings confirm these hypotheses, demonstrating a statistically significant positive relationship between TBLT implementation and English language proficiency. Moreover, TBLT outperforms traditional teaching methods in fostering language proficiency. The study also reveals that TBLT positively correlates with increased intrinsic motivation, contributing to improved language skills. Contextual learning afforded by TBLT is found to enhance practical understanding of English language skills. Additionally, TBLT enhances students' confidence in using English for real-life communication, a vital aspect of language proficiency. These findings suggest the potential of TBLT as an effective pedagogical approach for enhancing English language education in private schools in Erbil. The study concludes by offering recommendations for the implementation of TBLT and the importance of teacher training, motivational strategies, and long-term impact studies in the context of language education.
Counselling on The Negative Impact of Early Marriage
Authors: Dawous Gilang Gumilang , Utami Meryna Putri
Published: August 2024

Nationally, early age marriage is increasing significantly. This leads to a need for outreach to teenagers regarding the negative impacts of early marriage. Early age generally comes from promiscuity, customs and economic factors. Therefore, community service activities from academic circles are needed to provide understanding to teenagers who are starting to face puberty. Community service regarding counseling on the negative impacts of early marriage was held at MTs Al Ikhwan West Bandung in collaboration with STAI Darul Falah students asagent of changein the world of education. This research is Community Service which was carried out by impelementing Participatory Action Research (PAR). PAR is a research approach that involves active participation from the community being studied. Community service is carried out in 3 stages, the first is mapping potential and problems, the second is the implementation of early marriage socialization and the third is evaluating the implementation of early marriage socialization. This early marriage socialization program brings about social change in teenagers by creating new awareness towards better social transformation based on a strong foundation of religious character.
ความสัมพันธ์ระหว่างความรอบรู้ด้านสุขภาพกับพฤติกรรมการป้องกันตนเองจากโรคเลปโตสไปโรสิสของประชาชน อำเภอเมืองกระบี่ จังหวัดกระบี่
Authors: สามารถ สมศรี
Published: August 2024

บทนำ : โรคเลปโตสไปโรสิสเป็นโรคติดต่อระหว่างสัตว์และคน เกิดจากเชื้อแบคทีเรียเลปโตสไปราที่ติดต่อมาจากสัตว์หลายชนิด การติดเชื้อมีได้ตั้งแต่ไม่ปรากฏอาการ อาการเล็กน้อย รุนแรง หรือเสียชีวิต โรคนี้พบได้บ่อยที่สุดในประเทศเขตร้อนหรือกึ่งเขตร้อน และพบได้ทั่วไปทั้งในเขตเมือง และชนบท สถานการณ์โรคเลปโตสไปโรสิสในจังหวัดกระบี่ตั้งแต่ปี 2562–2566 มีรายงานจำนวนผู้ป่วยเท่ากับ 40, 33, 11, 46, 17 ราย คิดเป็นอัตราป่วย เท่ากับ 8.48, 7.00, 2.33, 9.59, 3.54 ต่อประชากรแสนคน ตามลำดับ การวิจัยนี้มีวัตถุประสงค์เพื่อ 1) ศึกษาความรอบรู้ด้านสุขภาพโรคเลปโตสไปโรสิสของประชาชนในอำเภอเมืองกระบี่ จังหวัดกระบี่ 2) ประเมินพฤติกรรมสุขภาพในการป้องกันตนเองจากโรคเลปโตสไปโรสิสของประชาชนในอำเภอเมืองกระบี่ จังหวัดกระบี่ 3) วิเคราะห์ความสัมพันธ์ระหว่างความรอบรู้ด้านสุขภาพกับพฤติกรรมสุขภาพในการป้องกันตนเองจากโรคเลปโตสไปโรสิส
วิธีการศึกษา : การวิจัยนี้เป็นการศึกษาระบาดวิทยาเชิงพรรณนาแบบภาคตัดขวาง กลุ่มตัวอย่างที่ใช้ในการศึกษาครั้งนี้ จำนวนทั้งหมด 294 คน คือ ประชาชนอายุตั้งแต่ 18 ปีขึ้นไป ทั้งเพศหญิงและเพศชาย ที่พำนักอาศัยในอำเภอเมืองกระบี่ จังหวัดกระบี่ สถิติที่ใช้คือสัมประสิทธิ์สหสัมพันธ์เพียร์สัน หรือ สถิติสเปียร์แมน กรณีข้อมูลมีการกระจายแบบไม่ปกติ
ผลการศึกษา : กลุ่มตัวอย่างที่ศึกษาครั้งนี้ส่วนใหญ่เป็นเพศหญิง อัตราส่วนเพศชาย:หญิง เท่ากับ 1 : 2.3 กลุ่มอายุวัยทำงาน ร้อยละ 88.4 การศึกษาสูงสุดส่วนใหญ่จบปริญญาตรีขึ้นไปและประถมศึกษา ร้อยละ 56.5 สถานะทางสังคมเป็นอาสาสมัครสาธารณสุขประจำหมู่บ้าน/อาสาสมัครประจำครอบครัว ร้อยละ 47.6 อาชีพรับจ้าง ร้อยละ 32.3 รายได้ต่อเดือน 10,000–29,999 บาท ร้อยละ 38.4 ผลการประเมินความรอบรู้ด้านสุขภาพในด้านการรับรู้ ความรู้สึก ความเชื่อมั่น ความสามารถหรือทักษะด้านสุขภาพของตนเอง พบว่า ประเด็นคำถามความรอบรู้ด้านสุขภาพอยู่ในระดับมากทุกประเด็น ความสัมพันธ์ระหว่างความรอบรู้ด้านสุขภาพในทุกประเด็น (X1–X6) มีความสัมพันธ์ทางบวกกับพฤติกรรมการป้องกันตนเองจากโรคเลปโตสไปโรสิส (X7) ดังนี้ การเข้าถึงข้อมูลและบริการสุขภาพ (X1) ค่าสัมประสิทธิ์สหสัมพันธ์ 0.218 (P < 0.01) ความเข้าใจข้อมูลและบริการสุขภาพที่เพียงพอต่อการปฏิบัติ (X2) ค่าสัมประสิทธิ์สหสัมพันธ์ 0.252 (P < 0.01) การโต้ตอบซักถามเพื่อเพิ่มความรู้ความเข้าใจ (X3) ค่าสัมประสิทธิ์สหสัมพันธ์ 0.208 (P < 0.01) การตัดสินใจด้านสุขภาพ (X4) ค่าสัมประสิทธิ์สหสัมพันธ์ 0.289 (P < 0.01) การปรับเปลี่ยนพฤติกรรมสุขภาพตนเอง (X5) ค่าสัมประสิทธิ์สหสัมพันธ์ 0.234 (P < 0.01) การบอกต่อข้อมูลด้านสุขภาพ (X6) ค่าสัมประสิทธิ์สหสัมพันธ์ 0.327 (P < 0.01)
สรุปผลการศึกษาและข้อเสนอแนะ : ความรอบรู้ด้านสุขภาพในทุกประเด็นมีความสัมพันธ์ทางบวกกับพฤติกรรมการป้องกันตนเองจากโรคเลปโตสไปโรสิส องค์ความรู้ที่ได้จากการวิจัยสามารถใช้ในการพัฒนาแนวทาง คู่มือ ข้อเสนอแนะเชิงนโยบายเกี่ยวกับความรอบรู้ด้านสุขภาพ พฤติกรรมสุขภาพในการป้องกันตนเองจากโรคเลปโตสไปโรสิส สำหรับผู้บริหาร บุคลากรสาธารณสุข และผู้ที่เกี่ยวข้อง
Erken Çocukluk Eğitimi Öğretmen Adaylarının Müzik Eğitimi Alanındaki Yeterlikleri Ölçeği: Türkçe Geçerlik ve Güvenirlik Çalışması
Authors: Keleş Ertürk Canan , Tepeli Kezban
Published: August 2024

Bu araştırmada “Erken Çocukluk Eğitimi Öğretmen Adaylarının Müzik Eğitimi Alanındaki Yeterlikleri Ölçeği’nin” Türkçe’ye uyarlanması, geçerlik ve güvenirlik çalışmasının yapılması amaçlanmıştır. Bu amaç doğrultusunda araştırmada tarama modeli kullanılarak, ölçek uyarlama çalışması tasarlanmıştır. Araştırmada, Zarza-Alzugaray vd.(2021) tarafından geliştirilen ve 209 birey ile geçerlik-güvenirlik çalışması yapılan ölçek kullanılmıştır. Orijinal formu, beşli likert (kesinlikle katılmıyorum/1, kesinlikle katılıyorum/5 arasında değişen) tipinde hazırlanan ölçek, İspanya (Grado)’da uygulanmıştır. Ölçeğin diğer dil ve kültürlerde uyarlanması için gerekli çalışma ve kullanma izinleri alınmıştır. Ölçeğin orijinal anlamı ile Türkçe ifadelerinin aynı olmasını sağlamak için çeviri tekrar çeviri yöntemi kullanılmıştır. Araştırmanın çalışma grubunu belirlemek amacıyla amaçlı örnekleme yöntemi kullanılmıştır. Araştırmanın çalışma grubunu, Konya il merkezinde üniversitelerin Çocuk Gelişimi ve Okul Öncesi Eğitim Öğretmenliği bölümlerinde eğitim alan 363 gönüllü oluşturmaktadır. Analiz kapsamında, faktör yapısının doğrulanması için, doğrulayıcı faktör analizi (DFA), tanımlayıcı istatistikler, ölçek faktörleri arasındaki ilişkinin belirlenmesinde Pearson Korelasyon Analizi, ölçek faktörlerinin güvenirlik düzeyinin belirlenmesinde ise Cronbach Alpha katsayısı kullanılmıştır. Analizlerden elde edilen bulgular, 24 maddeli Erken Çocukluk Eğitimi Öğretmen Adaylarının Müzik Eğitimi Alanındaki Yeterlikleri Ölçeği’nin Türkçe versiyonunun erken çocukluk eğitimi öğretmen adayları için geçerli ve güvenilir bir ölçme aracı olduğu saptanmıştır.
Miskonsepsi Pengerjaan Operasi Deret Aritmatika Di PGMI-3 Di UIN Sumatera Utara
Authors: Putri Puspitasari  , Rora Rizky Wandini
Published: August 2024

Misconceptions are discrepancies or misunderstandings in understanding arithmetic series with scientists' understanding of concepts or concepts that are in accordance with the rules of arithmetic series. Students often make discrepancies or misunderstandings in calculating terms of arithmetic series. The research aims to determine the difficulties of PGMI 3 UIN North Sumatra students, totaling 39 students, in solving problems regarding arithmetic series with the aim of presenting material about arithmetic series. Basic concepts of arithmetic series, including general formulas and their properties. The results of this research provide a better understanding of the misconceptions that often occur in working on arithmetic series operations, so that they can help PGMI 3 UIN North Sumatra students in working on arithmetic series operations more effectively and with more appropriate teaching methods for students.
Esoteris Pendidikan Islam Pada Karomah Syeikh Abdul Qadir Jailani
Authors: Ngatoillah Linnaja  , Robingun Suyud El Syam
Published: August 2024

One of the most popular Sufi figures in the world is Sheikh Abdul Qadir al-Jailani, due to the height of his knowledge in various fields, as well as his outstanding karomah. So it is necessary to study his karomah, so that there is no cult of individual. This research aims to show elements of novelty, and analyze the esoteric Islamic education at the karamah of Shaikh Abdul Qadir Jailani, which has not been found in previous studies. Through a literature study using a phenomenological approach, the finding was that the karomah of Sheikh Abdul Qadir al-Jailani was only positioned as a reinforcement of the essence of Islamic teachings where the dimensions of the two pillars, namely monotheism and fiqh, must run side by side. The position of his guardianship must be placed in the aspect of understanding that everything is God's will. The implication of the research is that external reasoning is needed to understand the Shari'a and internal reasoning to see the essence of religion, including karomah aulia. The research is expected to contribute to the development of Islamic thought in Sufistic aspects.
Efektivitas Strategi Practice Rehearsal Pairs terhadap Hasil Belajar Siswa pada Mata Pelajaran Fikih Kelas VII MTsN Padang Panjang
Authors: Rusmani Rusmani  , Syarifatul Hayati  , Diana Sartika
Published: August 2024

The practice rehearsal pairs strategy is a practice strategy in pairs with friends and groups. With practice rehearsal pairs learning strategies can make students more active in the learning process and can improve learning outcomes. Based on the results of interviews conducted by researchers at MTsN Padang Panjang. There are still many student scores below KKM (80). For this reason, researchers are interested in implementing practice rehearsal pairs strategies in improving the learning outcomes student of grade VII A MTsN Padang Panjang. This type of research is an experiment with randomize control group only design, samples are selected using purposive sumpling techniques. This research use by two sample, the are experimental class and control class. This research was conducted in the odd semester of the 2023/2024 academic year, namely class VII A as an experimental class and class VII D as a control class. The instrument used tests using the t-test hypothesis. data processing using SPSS. The implementation of the practice rehearsal pairs strategy in class VII A MTsN Padang Panjang jurisprudence subjects has gone well. This is evident from the results of supervision of the implementation of learning whose value is 90 with very good creteria. Student learning outcomes also improved after the implementation of the practice rehearsal pairs strategy. This is evident from the average score of the experimental class of 93 which is higher than the control class which gets an average score of 88. Based on the results of the hypothesis test, a tcount result of 9,360> ttable 1,670 was obtained. So it can be concluded that the application of practice rehearsal pairs learning strategies is effective in improving student learning outcomes on fikih subject in class VII A MTsN Padang Panjang.