International Journal of Integrative Sciences

Development of an Expert System for Diagnosing Respiratory Diseases in Animals Using the Bayesian Network and Rule-Based System Methods

2025-01-14T15:32:52+00:00

Respiratory diseases in animals are a common health issue affecting both livestock and pets. These conditions can lead to significant economic losses in the livestock sector and reduce the quality of life for pets if left untreated. Early and accurate diagnosis is crucial to identify diseases promptly, prevent further spread, and minimize negative impacts on animals and their owners. Therefore, a system capable of providing fast, accurate, and data-driven diagnoses is essential. This study aims to develop an expert system specifically designed to diagnose respiratory diseases in animals using two main approaches: Bayesian Network and Rule-Based System. The Bayesian Network models uncertainties by analyzing probabilistic relationships between observed symptoms and potential diseases, while the Rule-Based System supports decision-making based on predefined rules. The combination of these methods is expected to yield more accurate and informative diagnostic results. Symptom data for this study were obtained from various sources, including relevant medical literature and animal health databases. The system was developed using Python programming language, leveraging libraries such as pgmpy for constructing Bayesian Network models and experta for implementing the Rule-Based System. The development and testing processes were conducted on the Google Colab platform, enabling efficient data processing, simulation, and visualization. The expert system was evaluated using simulated symptom data, with performance parameters including diagnosis probability and overall accuracy. The results indicate that the expert system effectively provides diagnoses based on user-input symptoms. The probability information included in the diagnostic results aids veterinarians and livestock owners in making more precise, data-driven medical decisions

Empowering Msmes for the Digital Era: A Comprehensive SWOT and AHP – Based Development Strategy in Bekasi Regency

2024-12-24T14:04:41+00:00

Bekasi Regency, known as an industrial hub in Indonesia, has witnessed a surge in digital transformation efforts among Micro, Small, and Medium Enterprises (MSMEs). Despite their significant economic contributions, MSMEs face challenges such as uneven digital infrastructure, limited digital literacy, and organizational readiness gaps. This study investigates strategies for empowering MSMEs to embrace digital transformation using a hybrid SWOT and Analytic Hierarchy Process (AHP) methodology. SWOT analysis explores the internal and external factors influencing MSME readiness, while AHP prioritizes strategic alternatives for actionable recommendations.The findings highlight critical factors, including the need for enhanced digital infrastructure, increased digital literacy among MSME stakeholders, and strengthened cross-sectoral collaborations to address challenges such as limited resources and cybersecurity concerns. The integration of SWOT and AHP methodologies results in prioritized strategies, with the expansion of digital infrastructure emerging as the top priority, followed by fostering digital partnerships and enhancing digital literacy.Managerial implications emphasize the importance of equitable digital access, the creation of MSME digitalization centers, and the development of curated e-commerce platforms to strengthen competitiveness. These strategies are essential to promoting sustainable and inclusive growth in the region. The study concludes that government and private-sector collaboration is vital for bridging digital divides and enabling MSMEs to thrive in an increasingly digital economy.This research contributes to the limited discourse on MSME digital transformation in emerging markets, providing a strategic framework to achieve inclusive growth and regional economic resilience. Future research should explore the longitudinal impact of these strategies on MSME development and their scalability across diverse socio-economic contexts

Extrovert and Introvert Students’ Problems in Academic Writing

2025-01-16T13:43:38+00:00

Extrovert and introvert students are studied in this case using the study of their personal and learning styles as acquired from their challenges in academic writing. This research has used a descriptive qualitative approach to studying specifically the students with writing difficulties in the English Language Education Study Programme, Class of 2021. Interviews were conducted and then analysed thematically, and key issues identified. Of the 16 students who participated, only one was an introvert, but extrovert students suffer from singular/plural usage, tenses, prepositions, subject/verb agreement, articles, spelling, prefix-suffix, capitalization, punctuation, vocabulary, paragraph Paraphrasing, summarizing, and organization, cohesion and coherence. Like our introvert students, introvert students don’t have subject/verb agreement, articles, capitalization, or paragraph organization problems, but they have similar issues. These problems are influenced by both internal (personality) and external (feedbacks, time, language strategy) factors

Classification of Plant Leaf Diseases Using Convolutional Neural Networks

2025-01-14T14:26:32+00:00

Leaf diseases significantly impact agricultural productivity and economic stability. This study explores the use of Convolutional Neural Networks (CNN) for classifying plant leaf diseases, addressing limitations of traditional visual inspection methods. Utilizing a Kaggle dataset with three classes (Healthy, Powdery, Rust), data preprocessing techniques such as resizing, augmentation, and normalization enhanced model performance. The CNN model achieved 95% accuracy in classification, demonstrating its capability to detect intricate patterns on leaf surfaces. Despite challenges like dataset imbalance and limited disease categories, the research highlights the potential of integrating CNN with web or mobile platforms to aid farmers in disease identification. These findings align with previous studies and underscore the importance of deep learning in agricultural innovation. Future research should focus on expanding datasets, exploring advanced architectures, and validating models under real-world conditions to maximize utility and accuracy in diverse environments

Application of Expert System in Rice Seedling Selection Based on Smart Data With Methods: Knowledge-Based System and Decision Tree

2025-01-15T15:36:50+00:00

The selection of quality rice seeds is vital for maximizing agricultural productivity and sustainability. This study develops an expert system for rice seed selection based on intelligent data processing using the Knowledge-Based System (KBS) and Decision Tree methods. KBS encodes expert knowledge to evaluate seed quality and environmental compatibility, while Decision Tree algorithms classify and predict optimal seed choices. Experimental results demonstrate the system's accuracy in recommending suitable seeds, reducing selection time and effort. This research highlights the potential of artificial intelligence in enhancing decision-making processes in modern agriculture.

Characterization of Efficacy and Flavonoid Levels in Sorghum Extracts of Suri 4 Variety with Different Levels of Drought Stress

2025-01-10T11:04:10+00:00

Bioherbicides that utilize the allelopathic properties of sorghum plants that experience drought stress are fundamental to sustainable agriculture. This study aimed to look at the efficacy characteristics and flavonoid levels of Suri 4 extracts that have experienced various levels of drought stress. Extract materials were prepared from May to July 2024 at Bengkulu University Greenhouse, Kandang Limun, Bengkulu City, and bioassay tests were conducted in August 2024. Flavonoid analysis was performed at the Integrated Research and Testing Laboratory (LPPT) of Gadjah Mada University in August 2024. This research used a completely randomized design with one factor. One sorghum variety, Suri 4, was planted with water stress treatment through watering patterns every day, every 2 days, every 3 days, every 4 days, and every 5. The bioassay experimental unit was a petri dish, and the experiment was repeated four times. Each petri dish was given 10 mL of water extract, and 25 mung bean seeds were planted and incubated for three days. The results showed that the highest flavonoid levels were achieved by the 5-day watering pattern (3841.65 µg/g), and the lowest flavonoid levels were completed by the daily watering pattern (2948.07 µg/g). The highest germination inhibition was due to the sorghum water extract from the 4-day and 5-day watering patterns and was the best bioherbicide pioneer

Implementation of the Pancasila Learner Profile Strengthening Project at SDN 183/II Sumber Mulya Movement School

2025-01-21T09:15:15+00:00

This research was motivated by a lack of understanding by educators in designing P5 plans due to a lack of training attended by educators and a lack of guidance to fellow educators after attending workshops. There is no involvement of Pancasila students in determining or choosing the themes and topics to be chosen. This research aims to describe the experience of the facilitator team in implementing, obstacles and efforts to overcome obstacles to the project to strengthen the profile of Pancasila students at the driving school SDN 183/II Sumber Mulya. This research method uses a qualitative phenomenological method, this research was carried out at SDN 183/II Sumber Mulya. Participants in the research were the team of facilitators for phases A, B, C, class VI homeroom teachers, PAI teachers and Pancasila students for phases A, B and C. Data collection techniques were carried out using interviews, observation and documentation. Data analysis techniques were carried out using triangulation and the ATLAS TI application. The results of this research show that: 1) implementation of P5 at stages: a. planning is carried out by observing problems that occur in the surrounding environment which are adapted to the needs of Pancasila students and school readiness, b. The implementation was carried out by asking stimulating questions and having collaborated with the resource person. c. Evaluation is carried out by looking at the impacts that arise and the achievement of project dimensions and objectives using the assessment rubric that has been created. 2) the obstacles felt by the facilitator team were limited time in compiling modules, conducting environmental observations and observing the development of Pancasila students, lack of funding and resources that could support project implementation. 3) efforts that have been carried out by collaborating with project members in evaluating the environment and observing the development of Pancasila students, asking Pancasila students to prepare tools and materials that will be used and then using infrastructure in turn

Energy Transformation of the EU Defense Industry : A Study of France

2025-01-15T15:01:17+00:00

This study aims to determine the challenges of energy transformation in the EU Defense Industry, particularly those carried out by French. The French defense industry is adapting its operation to the EU’s new energy policy, which include investment in green technologies, sustainable supply chain management, and adaptation to increasingly stringent environmental regulations. The energy transformation strategy in the French defense industry is important to explore because France is one of the major players in the global defense industry. The research method used is qualitative method with data is obtained through in-depth interviews, policy analysis, and case studies to understand the context, perceptions, and experiences of key actors related to policy implementation. This research uses Daniel Yergin’s energy security theory to analyze the relationship between energy and security and the challenges faced in global energy transformation. In addition, this study uses the energy policy theory of Amory B. Lovins, to analyze, evaluate and implement energy transformation policies. Lovins, to analyze, evaluate and provide recommendations regarding energy transformation strategies in the context of the French defense industry. The study’s findings is that the European Union has established an environmentally friendly strategi yon defense industry and France as one of the member states has implemented the practice in its national security defense operations. The conclusion the study is that EU energy policy has encouraged energy transformation in the French defense industry without undermining France’s national defense progress

The Effectiveness of the TPR (Total Physical Response) Method in Enhancing Students' Vocabulary

2025-01-09T09:20:33+00:00

Introducing English vocabulary to young learners is essential for building a strong language foundation, as it enhances their reading, writing, listening, and speaking skills. However, research indicates that elementary students often face significant challenges in vocabulary acquisition, emphasizing the need for innovative teaching strategies that go beyond traditional methods. One effective approach for teaching English vocabulary to EFL (English as a Foreign Language) beginners is the Total Physical Response (TPR) method. This study aimed to evaluate the effectiveness of the TPR method in improving students' vocabulary skills. Using a pre-experimental design with a one-group pretest-posttest framework, the research focused on fourth-grade students at SD Inpres 7/83 Pasempe. Data analysis, conducted through a paired sample t-test, revealed a significant increase in average scores from the pre-test to the post-test. The substantial improvement in scores highlights the effectiveness of the TPR method in helping young learners understand and retain new vocabulary. This approach leverages the intrinsic connection between physical activity and cognitive processes, making the learning experience more engaging and lasting

Human Resource Management Strategy to Improve Sustainable Company per Formance In Industry 4.0 at the Organization of PT. KAI Daop 2 Bandung

2025-01-19T12:41:36+00:00

Human resources are an important factor in improving company performance. Competing in the world of work Companies must be able to implement a Human Resource Management Strategy about Industry 4.0 in the Company Organization. The purpose of this study was to determine whether Motivation (X1) and Training (x2) have a significant effect on Company Performance (Y) at PT. Kai Daop 2 Bandung. Thenformulate the right Human Resources Management Strategy to improve sustainable Company Performance in Industry 4.0. The population in this study were all employees at Daop 2 Bandung station. The sample used in this study was 55 employees as respondents. The method in this study uses a Quantitative method with a Correlational approach. The results of the research and hypothesis show that Motivation (X1) and Training (X2) have a positive and significant effect on Company Performance (Y) at PT Kai Daop 2 Bandung.

The Role of the Fisheries Subsector in the Regional Economy of Tolitoli Regency

2025-01-14T15:44:01+00:00

The purpose of this study was to determine the role of the fisheries subsector in the regional economy of Tolitoli Regency in 2018-2022. The type of research used is quantitative research with technical analysis of Location Quotient (LQ) analysis data with secondary data obtained from the Tolitoli Regency Central Statistics Agency (BPS). The results of this study indicate that the production of the Tolitoli Regency fisheries subsector according to the calculation of Location Quotient (LQ) analysis shows an average value for 2018-2022 of 0.69 which means less than 1 (LQ <1) and is included in the criteria for non-base or non-leading sectors, it can be said that the fisheries subsector has a role as a local economic sector in the regional economy of Tolitoli Regency in 2018-2022

Analysis of the Application of Accounting in Barbershop Businesses in Purwokerto City, Banyumas Regency

2025-01-03T14:30:06+00:00

This research aims to analyze the implementation of accounting in barbershop businesses in Purwokerto City, Banyumas Regency. The method used in this study is descriptive qualitative, with data collection techniques including observation, interviews, and documentation. The results of the study indicate that most barbershop businesses in Purwokerto have not yet optimally implemented accounting practices. Financial recording is still done in a simple manner and does not comply with applicable accounting standards. This is due to a lack of understanding among business owners regarding the importance of implementing accounting and the limitations of available resources. Based on these findings, it is necessary to provide education and assistance to barbershop business owners so they can properly implement accounting practices. Proper accounting implementation will help in financial control, performance measurement, and serve as a basis for accurate business decision-making. Ultimately, this can support the growth and sustainability of barbershop businesses in Purwokerto

An AfD Victory in Thuringia: A Deep Dive Into the 2024 state Election

2025-01-17T07:53:54+00:00

In the 2024 state election in Thuringia it was hence another final warning for Germany, with the Alternative for Germany (AfD) as overall winner. This article dives into the many contours of AfD's rise, including populism; anti-immigrant sentiment and larger societal disaffection. The AfD's rise, together with its accompanying challenges and opportunities for Thuringia if party divisions persist, these consider will have implications beyond the region for wider European politics are analyzed using a mixed-methods approach combining quantitative data analysis and qualitative insights from interviews and survey data on voter behavior and party dynamics. The results speak volumes of the nuances between today's electoral quagmire and the challenges posed by populist movements. Here, will be analysed how the AfD managed to win so many votes and offers a few suggestions on how we can tackle this rise of populism in Europe

Efforts to Improve Students' Cognitive Learning Outcomes by Using Demonstration Methods in Fiqh Subjects on Hajj Subjects (Classroom Action Research on Class V Students of MI Al Istiqomah Katapang Bandung District)

2025-01-14T14:38:17+00:00

This study seeks to enhance students' cognitive learning outcomes in Fiqh subjects focused on Hajj through the implementation of the demonstration method. In Indonesia, the education system continues to grapple with challenges, particularly regarding teaching methods that often lack variety. This research emphasizes the effectiveness of the demonstration method in Fiqh education, especially in relation to Hajj, with the goal of fostering a deeper understanding among students. The findings indicate that this method not only boosts student engagement but also reinforces conceptual comprehension and improves overall learning outcomes. Adopting a holistic approach, the study aims to cultivate insightful, empathetic, and socially responsible individuals capable of making meaningful contributions to society. Results indicate a progressive increase in student understanding of Hajj Fiqh throughout the cycles of learning facilitated by the demonstration method

Classification of Pneumonia Medical Images with Convolutional Neural Networks

2025-01-15T15:48:27+00:00

Indonesia's agricultural sector faces significant challenges in maintaining rice production due to land conversion, pest attacks, and poor irrigation. Early detection of rice leaf diseases is critical to mitigating these challenges. This study applies the Random Forest (RF) algorithm to classify three rice leaf diseases: Bacterial Leaf Blight, Brown Spot, and Leaf Smut. The proposed method achieved an accuracy of 75%, demonstrating its effectiveness in disease detection. This research provides a foundation for integrating machine learning to improve crop management and agricultural productivity

Application of Random Forest for Rice Plant Disease Classification

2025-01-14T14:11:19+00:00

Liver Disease Classification Using Decision Tree and Random Forest Algorithms

2025-01-15T15:26:47+00:00

Diagnosing diseases using technology is no longer uncommon. With advancements in healthcare technology, decision-making, particularly in detecting liver diseases, has become more efficient. Liver, an essential human organ, sees its functionality decline in patients with liver diseases. According to WHO data (2013), 28 million individuals in Indonesia suffer from liver diseases, marking it as one of the ten deadliest diseases. Early detection is crucial for effective treatment. This study aims to predict liver diseases using the Random Forest algorithm. Feature selection and classifier choice are pivotal for improving accuracy and computational efficiency. Using the Liver Disease Patient Dataset, the study involved data analysis, preprocessing, algorithm modeling, and visualization. Results show the Random Forest algorithm achieved an accuracy of 0.713326 with an F1 score of 81%

The Effect of Memrise Application on Student’s Vocabulary Mastery at the Tenth Grade of SMKN 4 Bone

2025-01-09T09:48:42+00:00

Vocabuary mastery is one of the factors to master English as foreign language. The mastery of English vocabulary itself is closely related to the ability of the learner in acquiring the vocabulary. This study looks at how students' vocabulary enrichment is affected when they use the Memrise app as a learning media. Using a non-equivalent group model and a quasi-experimental methodology, this study employs a quantitative approach in the tenth grade of SMKN 4 Bone. Where this research involving two groups; an experimental class (X MPLB) utilizing the Memrise application and a control class (X TKJ) not using the Memrise application. This research aims to determine whether the use of the Memrise application enhances vocabulary mastery among students. Pre-test and post-test were administrated to measure vocabulary proficiency. Since the significant value (Sig 2 tailed) is 0.117 > 0.05, it may be concluded from the results that H0 is accepted and H1 is rejected in the independent sample t-test

Effect of Employee Development and Interpersonal Communication on Employee Performance (Case Study on Employees of PT Astra Agro Lestari)

2025-01-19T15:36:19+00:00

This research examines the influence of employee development and communication on employee performance at PT Astra Agro Lestari, a company operating in the plantation and agro-industry sectors. This research uses quantitative methods with data measurement using the Liekert scale. Data was collected through questionnaires distributed to employees at various levels. Data analysis was carried out using the SPSS application to measure the relationship between employee development variables, interpersonal communication, and employee performance. The research results show a positive and significant influence between employee development variables (x1) and interpersonal communication (x2) on employee performance (y)

Review of Company Compliance with Occupational Safety and Health Standards

2025-01-14T15:50:55+00:00

This study used the field inspection method, which involves a direct visit to a work site to observe and evaluate the implementation of occupational safety (OSH) standards. Data were collected through direct observation, interviews with relevant personnel, and examination of OHS-related documents. A sample of companies was randomly selected from various industrial sectors to represent a wider range of people.The objectives of this study are many-fold. As a first step, the study aimed to evaluate the company's utomo of compliance with applicable OHS standards. It is important to know the general level of compliance in the workplace. In addition, the purpose of the study was to find places where compliance may not be fully met. This identification can form the basis for improvement initiatives.Research Background The importance of occupational safety and health (OHS) standards to safeguard employee welfare and company performance, research on the review of companies' compliance with OHS through a field inspection approach is highly relevant. This background is due to the fact that OHS standards have been established and regulated, but companies' compliance with these standards is often inconsistent.According to the study, there are differences in the level of companies' compliance with OHS standards. While some companies have low levels of compliance, others still have low levels of compliance. Compliance is often breached in areas such as the use of personal protective equipment, emergency evacuation procedures, andhandling of hazardous chemicals. Lack of OHS training, lack ofmanagement oversight, and high production priorities are some of the factors affecting compliance.In conclusion, this study emphasizes how important it is to improve OHS standards in companies to make the working environment safer and healthier. Suggested improvements include more OHS training, more management supervision, and more sanctions for OHS violations

How Occupational Health And Safety (OHS) Practices And The Work Environment Affect Employee Performance, With Job Satisfaction Acting As An Intermediary

2025-01-04T06:50:47+00:00

The purpose of this study was to determine how how much influence Occupational Health and Safety (OHS) and Work Environment have on Employee Performance mediated by Job Satisfaction at the Ministry of Health of the Republic of Indonesia. East Sunter Warehouse XVII. Research that used is a quantitative method with 76 respondents. respondents. Data collection techniques used The data collection techniques used are company observation, interview with one of the company's one of the company's employees, and distributing questionnaire using google form. in Data analysis was carried out using the Partial Least Square (PLS) method using Smart PLS software. PLS version 4 using Smart PLS software. Data Analysis The data analysis used is validity test, reliability test, Structural Model Test, and hypothesis testing. Research Results and Discussion The results showed that Occupational Health and Safety (OHS) and Work Environment on Employee Performance mediated by Job Satisfaction had a significant effect on employees of the East Sunter Warehouse XVII. from the results of data tabulation and diagrams of thefinal results of the questionnaire, the majority of respondents were respondents. From the results of data tabulation and diagrams of the final results of the questionnaire, the majority of respondents agreed with the statement that Occupational Health and Safety (OHS) and Work Environment, on Employee Performance mediated by Job Satisfaction has a positive effect.

Human Resource Management to Improve Organizational Commitment and Performance

2025-01-19T12:43:27+00:00

This study aims to test and analyse the influence of human resource management variables, and commitment to organisational performance. This research is a quantitative study to test the research hypothesis. The study took SMK Muhammadiyah 6 Jakarta teachers as the research site, with the determination of the sample using saturated sampling technique so that 50 respondents were used. Data were collected through distributing questionnaires and data were analysed using multiple linear regression. The results of the analysis found that: 1) there is a positive and significant influence between human resource management variables on organisational performance, with the amount of influence 52.4%, 2) there is a positive and significant influence between commitment variables on organisational performance, with the amount of influence 57.1%, 3) there is a positive and significant influence between human resource management variables, commitment, and organisational performance, with the amount of influence 63.9%