bluuebunny/crossref_metadata_2025 huggingface dataset:
The principal contradictions of the organizational and economic mechanism for the development of the agrarian sector of Ukraine and ways to resolve them
Authors: Hadzalo Yaroslav , Luzan Yurii
Published: June 2024

The purpose of the article is to outline the principal contradictions of the organizational and economic mechanism at the present stage of development of the agrarian sphere of Ukraine, to substantiate the ways of their settlement. Research methods. The research used dialectical and logical methods of scientific knowledge, a systematic approach to studying current trends in the agricultural sector of Ukraine, a set of methods for processing statistical data that characterize the interaction of individual components of the organizational and economic mechanism of state regulation. Research results. The existence of essential contradictions in the functioning of the state regulatory system is proved. The corresponding contradictions, inconsistencies, and instability of its principal components at the present stage of development of the agrarian sphere of Ukraine are determined. Scientific novelty. The essence of contradictions of the organizational and economic mechanism of development of the agrarian sphere of Ukraine is revealed, the mechanisms which have the most significant influence on its functioning are defined, the ways of their improvement are offered. Practical significance. The study results can be taken into account in the preparation of draft legislation in-depth research in the educational process to improve the system of public administration of the agricultural sector of Ukraine.
Methods for assessing the development of subjects of agrarian entrepreneurship
Authors: Kravchenko Svitlana , Malik Larisa
Published: June 2024

The purpose of the article is to substantiate the legitimacy of the use of specific methods for assessing the development of subjects of agricultural entrepreneurship. Research methods. The methodological basis of the study is the development of agricultural entrepreneurship. To achieve this goal, general scientific methods were used: empirical research (measurement, comparison), theoretical research (analysis, synthesis); as well as local methods: situation analysis (computational and constructive method), cybernetic modelling; search current forecast by extrapolation methods. Research results. The essence of assessing the level of development of agricultural entrepreneurship reflects the evaluation of the activities of entities associated with the optimal use of resources specific to the agricultural sector, economic (profit) and social performance. Among the methods of assessing the development and adaptation of agricultural enterprises to the market, the implementation of economic and mathematical modelling is recognized as the most effective. Scientific novelty. Emphasis is placed on the disclosure of its model for assessing the development and adaptation of agricultural entrepreneurship to the market and the main components of the cost forecast for state support programs for the development of entrepreneurship in the agrarian sector 2022-2023. Practical significance. The methodological approach can be used as a basis in the system of analysis and forecast of indicators of agricultural entrepreneurship by the statistical reporting of agricultural entrepreneurship and indicators of socio-economic status of the country.
Conceptual principles of Smart-territories formation in Ukraine
Authors: Koshkalda Iryna , Trehub Olena
Published: June 2024

The purpose of the article is to substantiate the conceptual basis for the Smart-territories creation in administrative reform context. Research methods is based on systemic and evolutionary approaches that require a holistic understanding of "Smart Territory" concept as well as provide research to identify characteristics, direct and feedback links and priority areas of its development. Research results. The comparative analysis of the existing theoretical concepts of Smart-territories formation is carried out and the author's view on this concept is formulated. Theoretical generalization of Smart-territories as a technological, economic, political, ecological system is carried out. The main directions of development of Smart-territories in the conditions of carrying out administrative reform in Ukraine are formulated. The introduction of the service unit, the infrastructure unit and the digital data unit in the Smart Territories system is substantiated. The research was conducted using the following methods: logical, which made it possible to reveal the essence and content of the formation of Smart-territories in Ukraine in general and in rural areas in particular; system-analytical, which takes into account the latest views on the concept of "Smart" as a complex technological, economic, social, political system; general scientific analysis, which was used during the development of scientific sources and regulations; structural and functional analysis, the essence of which is to identify the studied elements, establish their place and importance in the context of the study, the study of causal relationships and their impact on the development of administrative-territorial entities Scientific novelty. Theoretical provisions on Smart-territories formation in the context of administrative reform as a complex, systemic phenomenon that requires significant changes not only in technology but also in governance and society as a whole have been further developed. Practical significance. It is substantiated that for the qualitative formation of Smart-territories it is necessary to establish direct and feedback links in the middle of technological, economic, political and environmental components while combining them with the help of digitalization. The economic and social consequences of the transition from traditional to Smart-territories have been identified.
State policy in the field of implementation of bioenergy technologies in the context of its regulatory and legal support
Authors: Khaustova Viktoriia , Gryshova Inna , Kostenko Dmytro , Butenko Tetiana
Published: June 2024

The purpose of the article is to determine the main features and problems of the current system of legal regulation of production and use of biofuels in Ukraine. Research methods. In the process of research, the following methods were used: dialectical (with knowledge of the studied processes and phenomena); analysis and synthesis (for a detailed and comprehensive study of the processes of regulating the production and use of biofuels in the country); induction and deduction (to generalize the regulatory framework for regulating the production and use of biofuels in Ukraine, as well as to determine areas for improvement). Research results. The main features of the current regulatory framework for the production and use of biofuels in Ukraine are identified; identified shortcomings in addressing the issues of its certification and standardization, the adaptation of Ukrainian legislation on renewable energy development processes to EU legislation, implementation of the country's commitments in this area; identified the main problems that hinder the development of production and use of biofuels in Ukraine and require appropriate attention from public authorities. Scientific novelty. The scientific substantiation of the directions of improvement of normative-legal maintenance of regulation and support of the development of renewable energy in Ukraine and production and use of biofuels, in particular, has received further development. Practical significance. The study results can be used by central executive bodies and municipal governments to improve the regulatory framework for regulating the production and use of biofuels in the country and regions.
Food systems formation: theoretical and essential aspects
Authors: Kozak Olga , Pugachov Mykola
Published: June 2024

The purpose of the article is to generalize and deepen the theoretical and essential aspects of the formation of modern food systems, to reveal the features of their main functional components. Research methods. Based on the dialectical method of cognition, general scientific research methods were used, namely: abstract-logical (for generalization and formulation of conclusions); monographic and systems analysis (in studying the essence of food systems); historical (in the study of transformational transformations of the food complex into a food system); comparative analysis (to compare the substantive characteristics of the food complex and the food system); graphic (for visual display of analysis results); as well as a systems approach, analysis and synthesis, induction and deduction, and others in the field of economic research. Research results. It is proved that the food complex has long gone beyond its traditional interpretation. Its content can be defined as a food system that includes all elements (production resources, people, markets, trade, institutions, infrastructure, environment), all activities and the full range of actors involved in the production, processing, distribution, marketing and consumption of food, involving drivers of the economic, social and natural environment in which it is embedded, to achieve socio-economic and environmental results. Scientific novelty. Theoretical and methodological approaches to determining the organizational and economic status of the food subcomplex as a food system, which is a set of interconnected elements, activities and participants involved in the whole chain of "production-consumption", operating under the influence of environmental factors (economic, socio-cultural, political, scientific and technical, environmental and globalization) to meet the needs of the population in quality and safe food while maintaining the economic benefits of all economic entities and achieving the strategic goal of ensuring food security. Practical significance. The research results contain theoretically essential aspects that expand knowledge about the formation of food systems in current conditions. All interested persons and specialists can use the obtained materials to research further the problems of construction and functioning of modern food systems.
Institutional criteria of influence of Ukraine's modern agricultural formations on the level of rural areas development
Authors: Butko Mykola , Kolosha Valerii , Murashko Mykola , Rasskazov Oleh
Published: June 2024

The purpose of the article is to reveal the essence of the institutional criteria for the impact of modern agricultural forms of Ukraine on the level of development of rural areas, able to function effectively in the new conditions. Research methods. The basis for the study was the fundamental provisions for the development of agricultural enterprises in modern conditions and their impact on the processes of improving the regulatory framework for the modernization of productive forces in rural areas. To achieve this goal, general scientific methods and modern research were used: the method of systems analysis, mathematical and statistical, and socio-economic forecasting. Research results. Research has shown that budget decentralization has significantly affected the level of development of rural areas, and modern agricultural formation does not receive motivational sources to strengthen its economic base. The introduction of a spatial development strategy through the strengthening of the financial base of rural territorial communities allows moving to the functioning of rural areas on a sustainable basis. Scientific novelty. The essence of transformation processes is revealed, and theoretical and methodological bases of institutionalization of transition from budgetary to financial decentralization for the acceleration of development of rural territories through comprehensive support of modern agroformations are developed. Practical significance. The study results can be taken into account in improving the processes of decentralization of rural management through the concentration of financial resources in priority areas of sustainable development.
Protective effects of curcumin and quercetin in studies on cancer; a meta-analysis study
Authors: Akcan Altınkaynak Buket , Altınkaynak Yahya
Published: June 2024

Aims: Polyphenolic chemicals, such as quercetin and curcumin have anti-cancer properties due to their antioxidant and anti-inflammatory properties. Quercetin and curcumin aids in detoxification by boosting enzyme function and eliminating free radicals. We aimed to conduct a detailed meta-analysis of research articles reporting the protective effects of curcumin and quercetin in cancer studies.
Methods: The study was selected all studies over time carried out to date within the framework of our concept ,using various medical subject headings and databases like Elsevier, National Library of Frontiers, ResearchGate, Scopus Medicine, and Google Scholar. PRISMA guidelines was performed. The data management system played a significant role in locating and evaluating relevant articles, ensuring the accuracy and precision of the findings.
Results: From a total of 85 articles accessed in this analysis, 4 studies on quercetin and 3 studies on curcumin were included. The analyzed studies show that quercetin and curcumin have anti-cancer benefits through various cellular pathways. Quercetin inhibits Twist in breast cancer cells, while curcumin reduces Akt/mTOR cellular signaling, enhances Bax expression, and triggers cell death. It also prevents cell growth in human lung cancer cells and bladder cancer. Curcumin control reactive oxygen species levels, inhibit cancer cell proliferation, and stimulate apoptotic pathways. They also influence cancer development by altering cellular signaling pathways and affecting non-coding RNAs.
Conclusion: Our meta-analysis reports that quercetin and curcumin have the potential to be used in the treatment and prevention of cancer, it may be useful to investigate their synergistic effects.
Comparison of ultrasonographic parameters in the diagnosis of carpal tunnel syndrome in pregnancy
Authors: Bayraktarlı Recep Yılmaz , Şahin Fatih , Işın Kaan
Published: June 2024

Aims: The aim is to evaluate sonographic parameters in pregnant women diagnosed with carpal tunnel syndrome compared to electrodiagnostic tests, to determine whether these parameters have sufficient accuracy to allow their use in clinical practice.
Methods: This retrospective study examines pregnant women aged 18-40 in the 3rd trimester who received a final diagnosis of carpal tunnel syndrome between 2021-2023 at Prof. Dr. Cemil Taşçıoğlu City Hospital. Pregnant women with symptomatic complaints were divided into two groups: those with positive electrodiagnostic test results indicating carpal tunnel syndrome and those with negative electrodiagnostic test results, forming the control group. All pregnant women participating in the study had their median nerve cross-sectional area, flexor carpi radialis, cross-sectional area, wrist-to-forearm ratio, and MN-CSA/FCR ratio (expressed as a percentage called NTR) values examined.
Results: In pregnant women with carpal tunnel syndrome, the median nerve cross-sectional area values were observed to surpass those in the control cohort (10.06±3.24 vs. 7.84±2.52)(p0.84%. The best cut-off for wrist-to-forearm ratio values was calculated as >1.4 mm². A receiver operating characteristic curve was generated, and the wrist-to-forearm ratio cut-off point of 1.4 showed a sensitivity of 97.1% and a specificity of 69.2%.
Conclusion: Ultrasonography is useful in the diagnosis of pregnancy-related CTS. It has provided comparable results to electrodiagnostic tests and is additionally practical, cost-effective, and swift.
Acute rheumatic fever: a single center experience
Authors: Tunçer Tunç
Published: June 2024

Aims: Acute rheumatic fever continues to be a serious public health issue globally and in our country. The aim was to evaluate the socioeconomic, clinical characteristics, and echocardiographic findings of patients diagnosed with acute rheumatic fever in the Sancaktepe district of Istanbul province, and to compare them with Turkiye and global data.
Methods: The study was conducted retrospectively by reviewing the hospital records of 22 patients who presented to the pediatric cardiology outpatient clinic of Sancaktepe Training and Research Hospital and were diagnosed with acute rheumatic fever between March 2018 and October 2021. Demographic and socio-economic data, complaints, physical examination findings, clinical and laboratory features, initial echocardiographic findings at presentation, and follow-up data of the patients were identified.
Results: Out of the 22 patients diagnosed with acute rheumatic fever, 13 (59.1%) were male, with a mean age of 131.9 months ±32.9. The patients were followed up for an average of 23.2±11.5 months. Most patients (36.3%) presented during the winter months. The average number of individuals living in the patients’ households was found to be 5.8±1. It was observed that 95% of the mothers and 45.5% of the fathers had completed primary education, none of the mothers were employed, and all employed fathers received minimum wage. A family history of acute rheumatic fever was present in 18.8% of the patients. When echocardiographic findings were evaluated, valve involvement was detected in 90.9% of the patients. While single valve involvement was observed in the majority (72.7%) of patients, mitral valve involvement was most common (81.8%). During the follow-up period, complete resolution was observed in 45.5% of patients with mild mitral regurgitation and 66.6% of patients with mild aortic valve regurgitation.
Conclusion: While the majority of the data in the study are consistent with the literature, attention has been drawn to the challenges associated with the low socioeconomic status of our patient population. With the increase in socioeconomic status in our country, as in developed countries around the world, the incidence of disease may decrease.
Exploring teledermatology in managing common inflammatory skin conditions: a systematic review
Authors: Gençoğlu Şule
Published: June 2024

This investigation delves into the advancing domain of telemedicine within dermatology, highlighting its potential to reshape forthcoming healthcare paradigms. Specifically focusing on the utilization of teledermatology for prevalent inflammatory skin conditions, this study synthesizes literature comprising meta-analyses, comprehensive reviews, editor correspondences, real-world investigations, case collections, and detailed reports. Adhering to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) standards, manuscript selection and data extraction were meticulously executed. Initially, 121 relevant records were identified through database surveys. Following screening, 110 articles met the criteria for in-depth evaluation, with 92 articles ultimately included in our comprehensive review. Teledermatology, bolstered by the exigencies of the pandemic, emerges as a viable alternative for dermatological consultations in the foreseeable future. The rapid uptake and refinement observed during the crisis underscore its potential for further substantive advancements. Nonetheless, the establishment of structured guidelines governing its implementation and ongoing refinement remains imperative.
Occupational Pesticide Exposure in Parkinson’s Disease Related to GBA and LRRK2 Variants
Authors: Brown Ethan G. , Goldman Samuel M. , Coffey Christopher S. , Siderowf Andrew , Simuni Tanya , Meng Cheryl , Brumm Michael C. , Caspell-Garcia Chelsea , Marek Kenneth , Tanner Caroline M. ,   The Parkinson’s Progression Markers Initiative
Published: June 2024

Background:

The penetrance of common genetic risk variants for Parkinson’s disease (PD) is low. Pesticide exposure increases PD risk, but how exposure affects penetrance is not well understood.

Objective:

To determine the relationship between occupational pesticide exposure and PD in people with LRRK2 and GBA risk variants.

Methods:

Participants of the Parkinson’s Progression Markers Initiative (PPMI) with a LRRK2-G2019 S or GBA risk variant provided information about occupational pesticide exposure. We compared exposure in carriers with and without PD. Among carriers with PD, we used Cox proportional hazard models to compare time-to impairment in balance, cognition, and activities of daily living (ADLs) between participants with and without prior occupational pesticide exposure.

Results:

378 participants with a risk variant provided exposure information; 176 with LRRK2-G2019 S (54 with and 122 without PD) and 202 with GBA variants (47 with and 155 without PD). Twenty-six participants reported pesticide exposure. People with a GBA variant and occupational pesticide exposure had much higher odds of PD (aOR: 5.4, 95% CI 1.7–18.5, p < 0.01). People with a LRRK2 variant and a history of occupational pesticide exposure had non-significantly elevated odds of PD (aOR 1.3, 95% CI 0.4–4.6, p = 0.7). Among those with PD, pesticide exposure was associated with a higher risk of balance problems and cognitive impairment in LRRK2-PD and functional impairment in GBA-PD, although associations were not statistically significant.

Conclusions:

Occupational pesticide exposure may increase penetrance of GBA-PD and may be associated with faster symptom progression. Further studies in larger cohorts are necessary.
Application of Coding Theory in Field 5
Authors: Hayder Hajir Hayder , Kasm Nada Yassen , Abdullah Noor Hussain
Published: June 2024

The main aim of this paper introduce the relationship between the topic of coding theory and the projective plane of order five where special points were found in field 5, which is 31 points, in addition to 31 straight lines, and by applying the theorem that gives the number 1 for the point that lies on the straight line and the number 0 for the point that does not lie on the straight line, we get the code n = 31, d = 6, e = 2, from which we get the table m, v, n. ,n,h, and based on these tables, the distance difference between the code elements was found, where the minimum distance was 6 and the largest distance was 31. These values were used to test the optimality of the code. We can generalize this theorem and apply it to larger fields such as 21 or 23 and others, test their ideality, and find the difference between field 5 and the rest of the fields. M is the maximum value of the size of code over the finite field of order five and an incidence matrix with the parameters, n (length of code), d(minimum distance of code ), and e (error-correcting of code)have been constructed some example and theorem have been given.
Web-Based Decision Support System for Best Employee Selection in Government Institutions using Analytical Hierarchy Process (AHP) Method
Authors: Prapto Dwi Atmodjo Wismono , Sipahutar Rosen , Purwaningsih Mardiana
Published: June 2024

Government institutions are often constrained when making decisions regarding selecting the best employees due to the unavailability of an adequate decision support system. In fact, with this system, determining the best employees can be done easily and quickly. One method that can be used is the Analytical Hierarchy Process (AHP) which supports multi-criteria selection. This web-based decision support system designed has six criteria. From the calculation results of the priority weight value for each standard, the Court Punishment criteria have the highest priority value compared to other measures. Thus the requirements for this Court Punishment will be the primary consideration in calculating the value of outstanding employees. These criteria are then used for the simulation of 10 ministry employees. The simulation results show that the designed AHP technique is proven to prepare data for high achieving employee candidates accurately.
Integrated Identity Tag System for Biodiversity Collections in Indonesian Botanical Garden Using QR Code
Authors: Apriyanto Heri , Anggraeni Citra Dewi
Published: June 2024

In the year 2023, Indonesia has more than 40 botanical gardens. The garden has an essential role as the last defence in terms of plant conservation in Indonesia. However, some problems are commonly faced in the daily management process of plant collections, especially in the inspection of plant collection activity. There are no proper records of inspection activity, wrong identification of plant collection identity, inefficient reporting system, and the lack of visualisation documentation are part of the issues. Considering the essential inspection activity of plant collection in terms of conservation in the botanical garden, the use of a QR code that is integrated into the information system of plant collection management could be an alternative to be implemented to solve the issues. The implementation of the QR code can help to identify plant collection identity, history of collection and reporting process. Every plant collection will have an identity card with a QR code. Inspection officers can access the plant collection data by scanning the QR code using a smartphone. Thus, wrong identification could be minimised, reporting process could be more efficient, and inspection activity could be recorded as a history of plant collection. In addition, basic information about plant collection can also be accessed by visitors to educate them about biodiversity and conservation.
Evaluating IT Governance Capability in Managing Operational Contracts under PSAK 72: A Case Study of PT. XYZ's Government Service Division
Authors: Suhanda Kezia Victoria , Faza Ahmad
Published: June 2024

This research explores the evaluation of IT governance capability in managing operational contracts under PSAK 72 within PT. XYZ's Government Service Division (DGS). The study adopts the COBIT 2019 framework and the Gallegos method, focusing on three selected domains: EDM03, APO14, and DSS06. Interviews and questionnaires were used to assess current capability levels and identify areas for improvement. Results indicate that EDM03 and APO14 currently stand at level 2, while DSS06 is at level 4, falling short of their respective targets. Operational challenges in the LGS segment, such as missing contract data, affect PSAK 72 compliance and employee incentives. The study proposes recommendations to enhance documentation practices and IT risk evaluation. The usage of COBIT 2019's design factors provides a clearer focus on problem areas, making implementation more straightforward compared to COBIT 5. Addressing these challenges will optimize IT usage and ensure adherence to PSAK 72 requirements.
Human Resource Information System in SU II Sub-district Palembang
Authors: Yulia Indah Yulia , Abdillah Leon Andretti
Published: June 2024

Advances in information technology and the internet make it very easy for a person to get information. Web-based information systems also play an important role in an organization, including Employee Promotion, Mutation, and Pension Information Systems in SU II District, Palembang City. The system was developed using the PHP programming language, MySQLi database, and Web Engineering methods. This web-based system can facilitate the General and Personnel Section in carrying out their duties and functions in processing data quickly with a responsive and user-friendly display so that it can be accessed on desktop and mobile devices and also it is equipped with a feature to send notifications to Email and WhatsApp. Another advantage of this web-based information system is equipped with a feature to send barcodes from important Decision Letters as a security measure in maintaining the confidentiality of important documents.
A Robust Gender Recognition System using Convolutional Neural Network on Indonesian Speaker
Authors: Switrayana I Nyoman , Hadi Sirojul , Sulistianingsih Neny
Published: June 2024

Voice is one of the biometrics that humans have. Humans can be recognized by the sounds produced by their vocal cords and vocal tracts. One of the uses of voice is to recognize gender. Despite extensive research, gender recognition using machine learning remains unsatisfactory due to the complexity of voice features and the limitations of conventional algorithms. In this research, voice-based gender recognition is performed by applying deep learning. The deep learning model used is the Convolutional Neural Network (CNN). The input of CNN is the result of feature extraction from the Mel-Frequency Cepstral Coefficients (MFCC) method. MFCC produces Mel-Spectograms which are important features of sound. The dataset used is Indonesian speech. In the research, there are imbalanced and balanced dataset scenarios to see the performance of the model. To produce a balanced dataset, random undersampling is performed on the majority class. In addition, the effect of dividing training and testing data with a composition of 70:30, 80:20, and 90:10 was observed. The results show that the model has 100% accuracy for all imbalanced dataset scenarios. Then the highest accuracy is 99.65% for the balanced dataset scenario with 70:30 splitting. In summary, it can be concluded that CNN performs very well in identifying gender from voice features overall, although its performance decreases when random undersampling is applied to the dataset.
Speed Bump System Based on Vehicle Speed using Adaptive Background Subtraction with Haar Cascade Classifier
Authors: Zulfikri Muhammad , Kusuma Wirajaya , Hadi Sirojul , Husain Husain , Hammad Rifqi , Mardedi Lalu Zazuli Azhar
Published: June 2024

Driving at high speed and recklessly is the main cause of traffic accidents. In several places speed bumps are installed as a medium to warn drivers to slow down the speed of the vehicle, but the installation of speed bumps in several places has become a problem in itself with inconvenience for drivers traveling at low speeds, so it is necessary to develop an intelligent system to warn drivers when speeding. vehicles break safety boundaries, making drivers safer and more comfortable. At the vehicle identification stage, a combination of the Adaptive Background Subtraction method with the Haar Cascade Classifier is proposed, and vehicle speed estimation is carried out by calculating the time difference in the detection area or Region of Interest (ROI). Testing was carried out using traffic videos with three conditions, namely day, evening and night, with each condition using the same object data, namely 55 images of car objects. The proposed method produces car detection accuracy with an average of 85% and MSE 0.5 in vehicle speed measurements
Nighttime Image Enhancement: A Review of Topical Concepts
Authors: Basheer Ola , Al-Ameen Zohair
Published: June 2024

With the increasing spread of nighttime images and their importance in human lives, and the development of computer vision, producing images with the highest possible quality is paramount. Nighttime images have been improved over the past decades by introducing many methods, each of which uses different techniques to enhance the quality of such images that have many degradations, such as poor illumination, uneven lighting, low contrast, widespread noise, and unnatural colors. This paper reviews twelve modern-day algorithms that can be used to enhance nighttime images by presenting the concepts, work mechanisms, processing abilities, and performance evaluations for each algorithm. Likewise, these algorithms are evaluated using three metrics with their processing times, and the advantages and disadvantages of each algorithm are given. Such a review can help researchers understand which concepts to select for development, which drawbacks to avoid when developing an algorithm in this field, and what the currently available concepts are.
Classification System for Soil Types Suitable for Food Crops using Naïve Bayes Method
Authors: S.Kom., M.Kom (SCOPUS ID=ID: 57201646662) Nurdin
Published: June 2024

Agriculture in Indonesia, especially in Aceh, plays a central role in supporting the economy and food security. The success of agriculture is greatly influenced by the selection of appropriate soil types. This research aims to develop a classification system for soil types suitable for food crops by applying the Naive Bayes algorithm to help farmers choose the right type of soil. The steps taken in this research are literature study, observation, interviews, data collection, system design and system implementation. In this study, the variables / criteria used include pH, humidity, drainage, soil texture, and nutrients, as input to provide recommendations for the most suitable soil type. By dividing the data into 70% training data and 30% testing data, the system achieved an accuracy rate of 83.3%. The results of the testing data used in this study were obtained in areas suitable for planting all three types of food, namely kong, tetinggi, Blangbengkik, Gantung Geluni, Porang Ayu, Anak Reje and Bener Baru. While the area that is only suitable for planting one type of food crop is Cinta Maju.
Wahdatul Ulum Course Mobile Application Using Software Development Life Circle (SDLC) Method
Authors: Nasution Yusuf Ramadhan , Hasugian Abdul Halim
Published: June 2024

During a pandemic like now, ways to improve the quality of learning activities really require the application of technology and learning tools to support the process of teaching and learning activities. Technological developments make it easier to access existing learning tools. Today's learning tools must be accessible to many people and without any limitations of space and time. The application will be made as attractive and interactive as possible for its users. The application is designed to be mobile based and uses the Android operating system. Application development is supported by Google Android. The designed learning mobile device application includes syllabus, RPS, open materials and other supports. The application will be made as attractive and interactive as possible for its users. The application is designed to be mobile based and uses the Android operating system. Application development is supported by Google Android. The software development model used is the Software Development Life Circle (SDLC) model.
Analysis and Visualization of Breast Cancer Prediction through Machine Learning Models
Authors: Ayepeku Olukayode Felix
Published: June 2024

This research presents an in-depth exploration of breast cancer prediction through the application of machine learning models, specifically focusing on Logistic Regression, K-Nearest Neighbors, Support Vector Classifier, 'Decision Tree Classifier, Random Forest Classifier, Gradient Boosting Classifier, AdaBoost Classifier, and XGBoost Classifier. The study utilizes a comprehensive dataset comprising clinical features extracted from Kaggle. Various algorithms are employed, and a meticulous analysis of precision, recall, F1-score, and accuracy is conducted to assess model performance. Through advanced visualization techniques and statistical analysis, the research provides insights into the effectiveness of machine learning models in predicting breast cancer. The outcomes of this study aim to contribute valuable knowledge to the field of medical diagnostics, emphasizing the importance of machine learning methodologies in enhancing breast cancer prediction and classification.
THE EXISTENCE AND CONTINUITY OF MADRASAH DINIYAH AWALIYAH (MDA) IN THE MIDST OF POPULARITY INTEGRATED ISLAMIC SCHOOLS
Authors: Dani Rahmad , Mahariah Mahariah
Published: June 2024

The popularity of integrated Islamic schools has resulted in the dim existence of MDA and considering it as an educational development, of course, it has a positive impact and a negative impact, especially it can make the purpose and orientation of Islamic education may not be achieved. This study aims to determine the existence and continuity of Madrasah Diniyah Awaliyah (MDA) in the midst of the popularity of integrated Islamic schools today from a socio-economic perspective and an educational perspective. This research uses a qualitative method with a literature and field study approach. With collection techniques namely interviews, observation, and documentation. This research was conducted at SDIT Hikmatul Fadhillah, SDIT An-Nizam Medan, and MDA Al-Ikhlas. The results of this study indicate that from a socio-economic perspective, those who attend MDA are lower economic families while those who attend SDIT are upper economic families. Then MDA tends to classical religious learning, this must keep up with the times and technology and increase the creativity of MDA, while the existence of SDIT has adapted to technological advances. This research is expected to contribute to government managers as reference material in making educational policies and improvements to the implementation of education.
THE ROLE OF PEER FEEDBACK IN UNIVERSITY STUDENTSâ€™ WRITING PERFORMANCE DURING AN ONLINE PEER ASSESSMENT ACTIVITY
Authors: Masrul Masrul , Erliana Santi
Published: June 2024

Although the benefits of online peer assessment and peer feedback on writing performance have been demonstrated, many learners might not recognize or benefit from specific change responses. This study investigated the correlation between online peer assessment and peer feedback on student writing performance. The correlation test was employed to analyze the data in this study. This study involved 145 undergraduate students (75 females and 70 males) from the State University of Malang, where the English course is mandatory for all students. This study revealed that online peer assessment and peer feedback on students' writing performance had a significant and strong relationship. On the other hand, the differences between the online peer assessment and peer feedback variables in each group were insignificant. Peer assessment and online peer feedback might have a close relationship; they can help pupils enhance their writing skills. However, there were no significant variations in each group's online peer assessment and peer feedback factors.
DISCIPLINARY CULTURE OF ISLAMIC RELIGIOUS EDUCATION TEACHERS IN IMPROVING STUDENTS' WORSHIP EXPERIENCE
Authors: Aimang Hasrat A
Published: June 2024

Discipline is a very important attitude because its application can develop a person who can control himself effectively. When someone is bound by rules then tries to follow them, it keeps them from doing what they want and out of control. A good teacher is a teacher who has a disciplined attitude on duty. The research objective is to find out how discipline is enforced by Islamic religious education teachers in improving students' worship practices at SMP Negeri 1 Luwuk. The method in this study is a qualitative approach, in the form of data collection and interviews. The results showed that the Discipline of Islamic Religious Education Teachers in improving the Practice of Student Worship at SMP Negeri 1 Luwuk was carried out well by holding religious activities such as cults twice a month on Fridays. However, the discipline of Dzuhur Prayer in congregation at school has never been implemented due to limited space or the absence of a prayer room at the school. Based on the results of research on the Discipline of Islamic Religious Education Teachers in Improving Students' Worship Practice at SMP Negeri 1 Luwuk, it can be concluded that Islamic Religious Education Teachers focus on building morals and developing students' character, for religious activities such as cults being held twice a month, namely on Fridays 'at. However, the Dzuhur Prayer discipline in congregation at school has never been implemented due to limited space or the absence of a prayer room at SMP Negeri 1 Luwuk. Discipline of Islamic Religious Education Teachers can improve Student Worship Practice
ENVIRONMENTAL LITERACY OF BIOLOGY EDUCATION STUDENTS
Authors: Nurlia Nurlia , Ristiana Evi , Aulia Kurnia
Published: June 2024

Environmental literacy needs to be possessed by the current generation for the sustanability of future generations come, as do teaching students who will play a role in educating furure generations. This research aims to determine the environmental literacy abilities of students with a larger research sample, not only students who take Environmental Knowledge and Management courses, but also all Biology Education students at FKIP Universitas Muhammadiyah Luwuk. This research used a descriptive method with a research sample of 33 Biology Education students. The data collected in this research were questions and questionnaires containing four domains in environmental literacy consisting of 15 questions regarding the knowledge aspect, 15 statements regarding the cognitive skills aspect, 9 statements regarding the attitude aspect and 8 statements regarding the behavioral aspect. The questionnaire is filled out by students online via Google Forms. The data obtained was analyzed quantitatively descriptively. The research results show that the overall environmental literacy abilities of Biology Education students at FKIP Universitas Muhammadiyah Luwuk are in the "high" category with a score of 172.08.
Extracting Influential Nodes in Social Networks Based On Community Structure
Authors: Sabar Miften Firas , Naseem Zainab , Abdulkareem Huzam Evan
Published: June 2024

Influence maximization (IM) is the process focuses on finding active users who make that maximizes the spread of influence into the network. In recent years, community detection has attracted intensive interest especially in the implementation of clustering algorithms in complex networks for community detection. In this paper the social network was divided into communities using the proposed algorithm which is called (CDBNN) algorithm, CDBNN stands for Community Detection Based on Nodes Neighbor. The key nodes (candidate nodes) were extracted using the degree centrality in each community. The propagates model (PSI) was used to information propagates through the network. Finally, using closeness centrality to extract the influential nodes from the network. Experimental results on the real network are efficient for influence propagates, compared with three known proposals.
Haemodialysis effects on lipids Profile in patients with advanced renal disease
Authors: Nahi Habbob Salam , A.H. Khalil Sajedha
Published: June 2024

This study attempts to investigate lipid profile (cholesterol, triglyceride, high density lipoprotein –cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C) and very low-density lipoprotein-cholesterol (VLDL-C)) would be induced potential due to haemodialysis program.
The study included hundred and thirteen (113) samples. Eighty-three (83) patients with end stage renal disease on haemodialysis program including (47) males and (36) females with a mean age of (43.3±18.0) years and range from (20-65) years. All the patients had been on dialysis twice per week for two hours each time. In addition, thirty from healthy volunteers as control.
All subjects were under obligation fasting for twelve hours and the samples were drowning before and 30 minutes after haemodialysis. Evaluation of serum concentrations of cholesterol, triglyceride, HDL-C, by enzymatic method while LDL-C and VLDL-C were calculated by the Friedewald formula.
This study revealed that the changes of lipid profile (cholesterol, triglyceride, HDL-C, LDL-C and VLDL-C) were varied from small changes that statistically not significant between patients up to the highly significant changes between cholesterol and LDL-C before haemodialysis when compared to control. Significant changes are noticed between triglyceride and VLDL-C with control whereas high-density lipoprotein cholesterol didn't change. In male patient’s cholesterol and low LDL-C showed highly significant difference however the rest showed no significant difference. As well as pre and post haemodialysis when compared to control whereas in female lipid profile didn’t show any change.  According to age group (20-35) there was a highly significant difference between pre and post haemodialysis compared to control in cholesterol, triglyceride and LDL-C but not in HDL-C. The other two age groups the lipid profile did not show any changes.
Bifurcation Theory by Melnikov method in fast slow system
Authors: K. Mnahi Hawraa.
Published: June 2024

The Melmkov method for smooth dynamical systems is extended to be applicable to the non smooth one for nonlinear impact systems. This paper deals with studying a new subject of a singularity perturbed ordinary differential equations system. It is studied the ways to deal with the perturbation parameter > 0. Then the bifurcation theory is applied on the last system according to singularity perturbed ODEs. In addition, sufficient conditions for the occurrence of some types of bifurcation in the solution are given, such as (Fold, Pitchfork and Transcritical Bifurcation). Depending on the proof of theories to reduce the singular perturbation ODEs. For this purpose, proof of bifurcation that occurs in singular perturbation Teorem in this kind of situations is depended on the nature and behavior of the solution at the level of each state of bifurcation
Perturbed Taylor expansion for bifurcation of solution of singularly parameterized perturbed ordinary differentia equations and differential algebraic equations
Authors: Hamid Yasser Al-Yassery Dr.Kamal , Hameed Ali Al-Kafaji Zahraa
Published: June 2024

In This paper deals with the study of singularity perturbed ordinary differential equation, and is considered the basis for obtaining the system of differential algebraic equations. In this study the we use implicit function theorem to solve for fast variable y to get a reduced model in terms of slow dynamics locally around x. It is well known that solving nonlinear algebraic equations analytical is quite difficult and numerical solution methods also face many uncertainties since nonlinear algebraic equations may have many solutions, especially around bifurcation points. We have used singularly perturbed ODE to study the bifurcation problem in Differential algebraic system. So for the first step we need to investigate the bifurcation problem in our original system
when , for this purpose the known kinds bifurcations such as saddle node, transtritical and pitch fork has been studied by using Taylor expansion for one dimensional system. And for higher dimension we apply Sotomayor Theorem.
The second step is going to study bifurcation problem in DAE:
Where is bifurcation parameter. by converting such system to singularly perturbed ODE to make use the study in the first step:
The method we used to convert DAEs to singular perturbed ODEs is PTE method. The bifurcation in index one DAEs is investigated by reduced the system to system with lower dimension by implicit function theorem. And for higher dimension index two DAEs we used Sotomayor Theorem. Also the singularity induced bifurcation for which this kind of bifurcation occurred in DAEs is studied by PTE method.
Evaluation of Bioactivity of Maximal Inhibitory Concentration of Alkaloids Isolated from Mentha spicata Leaves Against Some Pathogenic Fungi
Authors: Ali Hussain Kawkab , Dawwas Matter Al-Maliki Abbas
Published: June 2024

Alkaloids were isolated and identified from Mentha spicata leaves. Qualitative analysis, thin layer chromatography(TLC), functional groups test and infra-red spectrum were carried out for identification of these alkaloids. TLC results showed presence of two alkaloidic compounds in alkaloids extract. The Bioactivity and biochemical effect of alkaloids, was investigated towards four pathogenic fungi. The maximal inhibitory concentration was measured to be (250 mg/ml) and the Bioactivity of this concentration was recorded against pathogenic fungi represented by Aspergillus fumigatus, Candida albicans, penicillum crysosporm and Aspergillus niger with inhibition zone diameters equal to (23, 15, 15 and 11 mm) respectively. Therefore, the alkaloidic compounds isolated can be used as an herbal theuraputic substituent to the different diseases caused by these fungi but this work demands further clinical and pharmaceutical studies.