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Enrichment: Journal of Multidisciplinary Research and Development

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Published by CV. International Journal Labs

ISSN : - EISSN : 29873398 DOI : https://doi.org/10.55324

Core Subject : Economy, Humanities, Health, Social, Engineering,

Humanities Economics, Econometrics & Finance Engineering Health Professions Social Sciences

Enrichment: Journal of Multidisciplinary Research and Development is a double-blind, peer-reviewed journal covering multidisciplinary issues. Monthly published by International Journal Labs, the journal serves as a means of relevant discussion that fall within its focus and scopes. This journal publishes research articles covering multidisciplinary sciences, including humanities and social sciences, education, religious sciences, philosophy, economics, engineering sciences, and health sciences.

Arjuna Subject : Umum - Umum

Articles 22 Documents

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Search results for , issue "Vol. 3 No. 2 (2025): Enrichment: Journal of Multidisciplinary Research and Development" : 22 Documents clear

Analysis of CTD Parameters in Bawean Waters Using 3D Modeling Khoirunnisaa, Avly Arfiani; Minsaris, La Ode Alam; Rosalia, Ayang Armelita; Wulansari, Nadia Zahrina
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 2 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i2.345

Bawean waters, located in the Java Sea about 150 km north of Gresik, East Java Province, have complex oceanographic characteristics that are interesting to study. The biodiversity and oceanographic conditions of its waters are influenced by hydrodynamic factors, such as ocean currents, tides, and other physical and chemical parameters. This study aims to analyze the oceanographic characteristics of the waters around Bawean Island based on the parameters of temperature, salinity, density, conductivity, and sound speed that play a role in the dynamics of the water mass. Measurements were made using CTD (Conductivity, Temperature, and Depth) instruments with the Direct Reading method, which allows real-time analysis of water masses. The data obtained was then processed using Ocean Data View (ODV) software to identify the distribution patterns of oceanographic parameters. In addition, Surfer software was used in modeling the three-dimensional visualization of oceanographic parameter density distribution patterns. The study sites were categorized into three zones, namely near land, far land, and perpendicular to land, to understand the differences in parameter distribution in different areas. The results showed that the water temperature was in the range of 28.75°C-31.25°C, salinity 26-33.1 PSU, conductivity 45-55 µS/cm, density 1016-1021 kg/m³, and sound speed 1534-1543 m/s. The modeling results and contour maps show that there is a connected density distribution pattern from the causation of low temperature parameters that affect the increase in salinity, conductivity, density, and decrease in sound speed. In addition, this research is expected to provide an in-depth understanding of the distribution patterns, distribution of oceanographic parameters in the waters of Bawean Island and the influence of factors that affect them.

The Role of Computer-Assisted Navigation in Total Knee Arthroplasty Outcomes: A Systematic Literature Review Agusta, Martin
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 2 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i2.351

The increasing use of Total Knee Arthroplasty (TKA) to treat severe osteoarthritis demands high surgical precision to ensure optimal alignment, reduce complications, and improve implant longevity. Computer-Assisted Navigation (CAN) has emerged as a technological solution to enhance accuracy in TKA; however, its long-term clinical effectiveness remains debated. This study aims to systematically assess whether CAN significantly improves TKA outcomes compared to conventional methods. Using PRISMA and Cochrane Collaboration guidelines, a systematic literature review was conducted involving 19 eligible peer-reviewed studies published between 2014 and 2024, retrieved from Scopus, PubMed, and Crossref. Data were analyzed using a narrative synthesis approach. Findings indicate that CAN improves radiological alignment and reduces certain complications, including soft tissue damage and inflammatory responses. However, evidence regarding its impact on functional outcomes, patient satisfaction, and revision rates remains inconclusive. Although some studies reported better postoperative range of motion and marginal increases in patient satisfaction, others found no significant difference. These mixed results highlight the need for further longitudinal and randomized studies. The study underscores CAN’s potential in improving surgical accuracy, while urging continued research to validate its broader clinical and economic value.

Vulnerabilities in The Procurement of Ordinary Passport Blanks of The Republic of Indonesia: A Systematic Review of Threats to National Nee Namora, Tondi; Riyanta, Stanislaus
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 2 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i2.352

This study aims to analyze vulnerabilities in the procurement of ordinary passport blanks in Indonesia using the Miles and Huberman data analysis method. A qualitative approach is used to identify the factors that lead to a high dependence on a single blank provider, as well as their impact on the smooth procurement process of passports. This study found that uncertainty in the supply of blanks, limited human resource capacity, and potential deviations in the procurement process are the main causes of vulnerability. External factors such as global disruption also exacerbate this situation. The results of the study show the importance of diversifying blank providers to reduce dependence on one party, as well as the need to strengthen a more transparent and efficient procurement system. The study also proposes the digitization of passport services as a strategic step to reduce reliance on physical blanks and improve the efficiency of public services. Overall, this study provides recommendations that can support government policies in improving the resilience and reliability of the public document procurement system in Indonesia, as well as a reference for further research in this field.

Implementation of Mine Reclamation Guarantee Based on Government Regulation Number 78 of 2010 Concerning Reclamation and Post-Mining in IKN Sugiharto, Grisela Mawa Aqilah; Arifudin, Nur; Susanti, Erna
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 2 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i2.354

Reclamation is a critical environmental recovery measure aimed at restoring former mining areas to a sustainable and functional state. This research investigates the role of government supervision and law enforcement in the reclamation of ex-mining land within the development zone of Indonesia’s new National Capital (IKN), located across North Penajam Paser and Kutai Kartanegara Regencies in East Kalimantan. As the IKN project represents a large-scale transformation of land use, the study focuses on how regulatory oversight and enforcement influence the effectiveness of reclamation efforts. Using a qualitative descriptive method, the study collects data through document analysis, field observations, and interviews with local government officials, environmental agencies, and stakeholders in the mining and reclamation sectors. The findings reveal that while regulatory frameworks for reclamation exist, challenges remain in implementation due to overlapping authority, limited monitoring resources, and weak enforcement of legal obligations by mining companies. Additionally, many ex-mining lands remain unproductive and pose environmental risks due to insufficient reclamation. The study emphasizes the need for a more integrated and accountable supervision system, increased inter-agency coordination, and stricter enforcement mechanisms to ensure that reclamation aligns with sustainable development goals. The implications of this research highlight the importance of legal compliance and government leadership in managing environmental risks in areas designated for national development projects.

The Influence of Financial Literacy and Overconfidence on Investment Decisions With Risk Tolerance as A Mediating Variable (A Study on Stock Investors in Bali Province) Sawitri, Kadek Dewi; Candraningrat, Ica Rika
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 2 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i2.355

Investment decisions are influenced not only by rational calculations but also by psychological biases that affect investor behavior. Grounded in behavioral finance and prospect theory, this study aims to analyze the influence of financial literacy and overconfidence on investment decisions, with risk tolerance as a mediating variable. The research involved 250 stock investors in Bali Province, selected through purposive sampling. Data were collected via structured questionnaires and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that financial literacy and overconfidence each have a significant and positive effect on investment decisions. Furthermore, both variables also positively influence risk tolerance, which itself significantly impacts investment decision-making. Risk tolerance mediates the effects of financial literacy and overconfidence on investment decisions, indicating that knowledgeable and confident investors are more willing to take calculated risks aligned with their long-term financial goals. The study contributes theoretically to the development of behavioral finance by confirming the mediating role of risk tolerance in investment behavior. Practically, the findings suggest that financial education and awareness of overconfidence biases are essential in enhancing rational investment behavior. Policymakers and financial institutions are encouraged to develop targeted financial literacy programs and investor profiling tools based on risk tolerance to support more strategic and resilient investment decisions.

Improving Operational Efficiency of Nickel Ore Port in North Konawe with VSM And Optimization Approach Kusumadewi, Karina; Zagloel, Teuku Yuri M.
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 2 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i2.356

Indonesia, the world's largest nickel producer, has enforced a nickel ore export ban since 2020 to promote domestic downstream processing. This policy surge has intensified port activities, especially in nickel ore logistics, leading to operational inefficiencies such as prolonged barge waiting times, demurrage penalties, and logistics delays at key ports like Lameruru, Southeast Sulawesi. This study applies Lean principles and Value Stream Mapping (VSM) to identify waste and bottlenecks in nickel ore port operations. The research further develops a Genetic Algorithm (GA)-based optimization model to improve barge scheduling and minimize waiting times. Data collected from port operations, stakeholder interviews, and secondary sources reveal that waiting times at the jetty constitute the primary inefficiency, causing nearly half of shipments to incur demurrage. The GA optimization reduced total barge waiting time by 55%, increased immediate docking by 71%, and significantly decreased maximum waiting times, boosting port productivity and reducing costs. The Future State VSM reflects a 79.7% Process Cycle Efficiency, an improvement over the current 69.97%. Despite limitations such as reliance on static historical data and exclusion of real-time dynamic factors, this integrated Lean-VSM-GA approach demonstrates significant potential to enhance Indonesia’s nickel ore logistics, offering actionable strategies for port operators and policymakers to increase competitiveness in the global nickel industry.

Development of Loan Default Prediction Models in Indonesia’s Multifinance Industry Fawwaz, Muhammad Jauhar; Zulkarnain, Zulkarnain
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 2 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i2.357

This study develops a predictive model for loan default in Indonesia’s multifinance industry by implementing and comparing three machine learning methods: Logistic Regression, Support Vector Machine (SVM) with RBF kernel, and XGBoost. Using imbalanced datasets from three multifinance companies representing different portfolio characteristics vehicle, multipurpose, and electronics financing the research applies the SMOTE technique to address class imbalance and enhance model sensitivity. Results show that XGBoost outperforms both Logistic Regression and SVM in accuracy (0.9970), precision (0.9482), recall (0.9987), and AUC (0.9996), while also being the most computationally efficient. Feature importance analysis highlights late payment history, financial ratios, credit scores, and demographic variables as key predictors, with XGBoost capturing complex non-linear interactions. The study introduces a novel multi-layered framework for credit risk management, including scoring engines, early warning systems, and segment-based risk strategies. Segment analysis reveals higher default risks among younger, divorced, and less-educated borrowers, as well as for unsecured loans and high debt-to-income ratios. The model’s adaptability across varying institutional datasets demonstrates the need for company-specific calibration. Compared to previous single-model or single-company approaches, this research provides a comprehensive, scalable, and high-performing solution for predictive credit risk modeling in the Indonesian context. Simulation results suggest that the implementation of this framework could reduce NPF by up to 2.3 percentage points and enhance risk-adjusted returns by 3.8–4.2%, offering substantial practical value to multifinance companies.

Potential Therapeutic Compounds for Neurological Diseases in Lavender Oil Extract (Lavandula Angustifolia) Natih, Made Agus Raditya
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 2 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i2.358

Lavender oil (Lavandula angustifolia) is widely known for its soothing aromatherapy effects and diverse therapeutic benefits. The plant is rich in bioactive compounds—terpenes (linalool, limonene, triterpenes), linalyl acetate, alcohols, ketones, polyphenols, coumarin, sineol, and flavonoids—with linalool and linalyl acetate as the main components. The flower part is chosen for oil extraction because it contains the highest concentration of compounds. This literature review aims to identify the potential of lavender oil in the treatment of neurological diseases. Sources were taken from international journals indexed by Google Scholar, PubMed, and Scopus using the Publish or Perish program in the range of 2019–2024 with the keywords "aromatherapy" AND "neurological disorders" AND "lavender" AND "essential oils" AND "neurological diseases". Of the 78 articles identified, 47 were further reviewed and 12 met the inclusion criteria; The data is analyzed descriptively. Results showed that lavender oil has anxiolytic and antidepressant effects through modulation of GABA-A, SERT, and NMDA receptors; anti-inflammatory effect and regulation of glutamate receptors as well as inhibition of calcium channels; as well as anti-epileptic mechanisms through increased GABA inhibition, potassium current, and decreased sodium flow. Effectiveness has been reported in conditions such as anxiety, major depression, epilepsy, migraines, and Alzheimer's. In conclusion, lavender aromatherapy is effective for the therapy of neurological disorders thanks to the content of linalool and linalyl acetate. The implications of this study are as a reference for the development of methods and further research on the clinical potential of lavender oil in the treatment of neurological diseases.

Situational Configuration Causing Riots in Correctional Institutions and Detention Centers in Indonesia Arief, M. Sofyan; Meliala, Adrianus; Sulhin, Iqrak
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 2 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i2.361

The examination of riots in Correctional Institutions and Detention Centers has so far only revealed the triggers of the riots, without exploring how riots can occur in Correctional Institutions and Detention Centers in Indonesia. This research was conducted on riots in the period 2001-2021 which had an impact on the riots, both in terms of casualties and large material impacts. Research on 8 (eight) Correctional Institutions and Detention Centers was aimed at exploring more fundamental problems in order to understand how riots can occur in Correctional Institutions and Detention Centers. Qualitative methodology was carried out in this research in order to obtain an in-depth study of the causes of the riots that occurred. The findings of this research indicate that the cause of the riots lies in the fundamental problem, namely the existence of corrupt practices in the structures that are formed formally and informally in the operationalization of Correctional Institutions and Detention Centers in Indonesia.

Cost Analysis of Wholesale Wage System and Work Efficiency in The Central Park Juanda Housing Construction Project - PT. Griyo Mapan Santoso Supriyanto, Yunaidi; Tjendani, Hanie Teki; Wulandari, Esti
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 2 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar

The cost analysis between the wholesale wage system and work efficiency has special significance in housing projects, such as in Central Park Juanda Housing by PT. The Scarlet Witch is a saint. Through a quantitative approach, this study also contributes to the construction management literature related to workforce management in the field. This study used a sample of 45 respondents consisting of construction workers in the Central Park Juanda housing project, including foremen, handymen, and other field workers. Respondent profiles included gender distribution (82% male), age (dominant 31-41 years), education (47% high school/vocational school), competency certification (58% have certificates), and work experience (dominant 11-15 years). The questionnaire data was tested for validity using the Pearson method with a significance level of 5% and all items were declared valid (rh ? 0.3). Reliability was tested with Cronbach's alpha, and all variables (X1 to Y) were declared reliable (? ? 0.6). The results showed that all independent variables (X1: Labor, X2: Wages, X3: Materials, and X4: Projects) had a negative influence on project efficiency (Y). However, only the variable X4 (Project State) had a significant effect with a significance value of 0.002 (< 0.05), while the other variables (X1, X2, and X3) were insignificant., then the data shown by the probability of significance of the ANOVA analysis was with a significance value of 0.021 < 0.05 thus Ho was rejected and Ha was accepted, meaning that simultaneously there was a significant influence. This shows that the state of the project plays an important role in influencing work efficiency, while labor, wholesale wages, and materials do not have a significant impact in the context of this study.

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Contact Name
Hanipah

Contact Email
journalenrichment@gmail.com

Phone
+6282128739145

Journal Mail Official
journalenrichment@gmail.com

Editorial Address
Jl. Sultan Ageng Tirtayasa No.12, Kedungjaya, Kec. Kedawung, Kabupaten Cirebon, Jawa Barat 45611

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