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International Journal of Integrative Sciences
Published by PT FORMOSA CENDEKIA GLOBAL
ISSN : -     EISSN : 29859050     DOI : https://doi.org/10.55927/ijis.v2i2
Core Subject : Science, Social, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering Social Sciences
International Journal of Integrative Sciences (IJIS) is an international peer-review, and double-blind review journal published by Formosa Publisher. The IJIS is aimed to provide a forum for review, reflection, and discussion informed by the results of recent and ongoing research from a multidisciplinary perspective. IJIS encourages new ideas and works in all fields and it publishes high-quality original papers, theory-based empirical papers, review papers, case reports, conference reports/papers, technology reports, book reviews, commentaries, events, and news. We welcome papers from both academicians and practitioners on theories, business models, conceptual paradigms, academic research, and consultancy projects. The Journal invites original papers, review articles, technical reports, and short communications that are not published or are not being considered for publication.
Arjuna Subject : Umum - Umum
Articles 22 Documents
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Search results for , issue "Vol. 4 No. 1 (2025): January 2025" : 22 Documents clear
Empowering Msmes for the Digital Era: A Comprehensive SWOT and AHP – Based Development Strategy in Bekasi Regency Fauzi, Firman; Siregar, Hermanto; Barus, Baba; Syahbana, Galuh
International Journal of Integrative Sciences Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijis.v4i1.13101

Abstract

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
How Occupational Health And Safety (OHS) Practices And The Work Environment Affect Employee Performance, With Job Satisfaction Acting As An Intermediary Hilma Farhani; Ratih Ayu Sekarini; Wiwin; Riyadi
International Journal of Integrative Sciences Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijis.v4i1.13282

Abstract

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.
The Effectiveness of the TPR (Total Physical Response) Method in Enhancing Students' Vocabulary Catur Sugiarti Putri; Taslim; Syarifuddin
International Journal of Integrative Sciences Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijis.v4i1.13387

Abstract

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
Characterization of Efficacy and Flavonoid Levels in Sorghum Extracts of Suri 4 Variety with Different Levels of Drought Stress Susilo, Edi; Setyowati, Nanik; Pujiwati, Hesti
International Journal of Integrative Sciences Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijis.v4i1.13409

Abstract

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
Application of Random Forest for Rice Plant Disease Classification Rosyani, Perani; Lutfi, Anang Muhamad; Purwadi, Eko; Kamaluddin; Hanaan, Yusuf Ali; Ikasari, Ines Heidiani
International Journal of Integrative Sciences Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijis.v4i1.13477

Abstract

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
Classification of Plant Leaf Diseases Using Convolutional Neural Networks Teti Desyani; Mahromi, Muhammad; Ramadhan, Fazzil Alfis; Alfiansyah, Muhammad; Maulana, Muhammad Iqbal; Rosyani, Perani
International Journal of Integrative Sciences Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijis.v4i1.13478

Abstract

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
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) Faturahman, Rizqi; Hadi, Muhammad Sofian; Surizkika, Aldi
International Journal of Integrative Sciences Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijis.v4i1.13480

Abstract

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
Development of an Expert System for Diagnosing Respiratory Diseases in Animals Using the Bayesian Network and Rule-Based System Methods Farhan Stiady Syah; Rosyani, Perani; Suryaningrat; Putri, Firda Salsabila; Ashari, Idpan; Sofian, Kurnain
International Journal of Integrative Sciences Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijis.v4i1.13481

Abstract

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
The Role of the Fisheries Subsector in the Regional Economy of Tolitoli Regency Fitri S. Kasim; Fatimah; Rifay, Riski Thamrin G.; Syafitri, Euis
International Journal of Integrative Sciences Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijis.v4i1.13482

Abstract

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
Review of Company Compliance with Occupational Safety and Health Standards Utomo, Bekti
International Journal of Integrative Sciences Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijis.v4i1.13483

Abstract

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

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