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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 655 Documents

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Individual Performance on Self-Efficacy and Oranization Commitment Mediated by Job Satisfaction During the Covid-19 Pandemic Ida Bagus Kompyang Astika; Dyah Sawitri; Tri Cicikwijayanti
Enrichment: Journal of Multidisciplinary Research and Development Vol. 1 No. 7 (2023): 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.v1i7.66

Employee performance, job satisfaction, self-efficacy, and organizational commitment are important human-resource outcomes for maintaining organizational effectiveness, particularly when employee performance fluctuates and work targets are not consistently achieved. This study aims to analyze the effects of individual performance on self-efficacy, organizational commitment, and job satisfaction; the effects of job satisfaction on self-efficacy and organizational commitment; and the mediating role of job satisfaction in the relationships between individual performance and both self-efficacy and organizational commitment. The research was conducted at PT. Bali Regional Development Bank Singaraja Branch using an explanatory research approach and a saturated sample of 40 employees. Data were collected through questionnaires distributed directly to respondents and analyzed using path analysis after validity, reliability, and classical assumption tests. Hypotheses were tested using the t-test, while mediation was examined using the Sobel test. The results show that individual performance positively affects self-efficacy, organizational commitment, and job satisfaction; job satisfaction positively affects self-efficacy and organizational commitment; and job satisfaction mediates the effects of individual performance on self-efficacy and organizational commitment. These findings imply that strengthening employee job satisfaction, particularly through the job itself, salary suitability, promotion opportunities, supervision, and colleague relationships, can support stronger self-efficacy and organizational commitment.

Analysis of Misuse of Eyd in Elementary School Students of SD Negeri Sangiang Jaya Putri Oktavia; Sa’odah Sa’odah; Romi Ramdon Ginanjar
Enrichment: Journal of Multidisciplinary Research and Development Vol. 1 No. 8 (2023): 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.v1i8.67

Accurate capitalization and punctuation are essential to the clarity of elementary students' narrative writing, yet Grade V students at SD Negeri Sangiang Jaya continued to experience difficulty applying Enhanced Indonesian Spelling (EYD), particularly capital letters, periods, and commas. This study aimed to describe the forms and possible causes of these errors and to identify the teacher's efforts to address them. The study used a descriptive qualitative design at SD Negeri Sangiang Jaya. Data were obtained from students' narrative-writing tasks and were supported by classroom observation, documentation, and an interview with the homeroom teacher. The data were read, classified according to the targeted EYD categories, reduced, presented descriptively, and interpreted through conclusion drawing and verification. The reported findings indicate that correct use was achieved by 50% of students for capital letters, 75% for commas, and 85% for periods. The remaining errors included inappropriate capitalization within words or sentences, omitted commas where separation was required, unnecessary commas, and omitted periods at sentence boundaries. The teacher's efforts consisted of explaining writing rules, providing correct examples, using picture-based media, and assigning evaluation exercises. These findings show that students require repeated, contextual practice rather than explanation alone. The study therefore recommends guided editing of narrative texts, consistent use of EYD/PUEBI references, and routine feedback so that students can recognize and correct errors in their own writing.

Implementation of Random Forest Using Smote and Smoteenn in Customer Churn Classification in E-Commerce Muhammad Munzir Rizkya Mubarak; Yulison Herry Chrisnanto; Puspita Nurul Sabrina
Enrichment: Journal of Multidisciplinary Research and Development Vol. 1 No. 8 (2023): 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.v1i8.69

Rapid internet growth has accelerated e-commerce expansion and intensified competition among platforms. Because customers can move to competing platforms that better meet their needs, customer churn has become an important problem requiring classification based on historical customer behavior. This study aimed to evaluate the performance of the Random Forest Classifier combined with SMOTE and SMOTEENN resampling techniques for handling imbalanced e-commerce customer churn data. The research involved data cleaning, selection, transformation, and resampling, followed by Random Forest parameter tuning using GridSearchCV. The dataset was divided into 70% training data and 30% testing data, and performance was evaluated using accuracy, precision, recall, F1-score, confusion matrix, and AUC. Random Forest with SMOTE produced the best overall balance, achieving 96.3% accuracy, 87.8% precision, 87.1% recall, 87.4% F1-score, and 93% AUC. Random Forest with SMOTEENN achieved the highest recall of 91.5% and an AUC of 92%; however, its precision decreased to 66.2%, indicating more false-positive predictions. These findings show that SMOTE provides a more balanced classification performance for the evaluated dataset, whereas SMOTEENN prioritizes churn detection at the cost of precision. Practically, selecting a resampling strategy should reflect whether balanced performance or maximum churn detection is the primary operational priority in practical customer-retention decisions.

Consumer segmentation using K-Medians algorithm on transaction data based on LRFMP (length, recency, frequency, monetary, periodecity) Akbar Dena Maulana; Ade Kania Ningsih; Gunawan Abdillah
Enrichment: Journal of Multidisciplinary Research and Development Vol. 1 No. 8 (2023): 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.v1i8.70

Consumer loyalty plays a crucial role for companies, particularly under intense competition among firms, and successfully retaining loyal customers is decisive for sustained profitability. For this reason, customer-loyalty analysis is needed to identify each customer's level of engagement with the company. Within this analysis, consumer segmentation is an essential step for grouping customers with similar characteristics so that the marketing-management process can be targeted more effectively. This study aims to segment e-commerce customers according to their behavioural loyalty and to characterise each resulting segment as a basis for differentiated marketing strategies. The segmentation employs the LRFMP model (Length, Recency, Frequency, Monetary, Periodicity), which represents customer purchasing patterns through relationship length, the recency of the last transaction, transaction frequency, total monetary value, and purchase regularity. Clustering is performed with the K-Medians algorithm, which uses coordinate-wise medians and Manhattan distance and is therefore robust to the outliers and skewness that are common in transaction data. The dataset comprises the purchase-transaction history of an e-commerce platform spanning 373 days, from which 4,712 unique customers were obtained after preprocessing. Applying LRFMP analysis with K-Medians produced four clusters, containing 1,183, 1,221, 1,206, and 1,102 customers, respectively. Interpretation of the LRFMP profiles indicates that 25.1% and 25.6% of customers (Clusters 1 and 3, jointly 50.7%) show high loyalty potential, 23.4% show medium potential, and 25.9% show low loyalty potential. The four-cluster solution attained an average silhouette coefficient of 0.608, indicating reasonably well-separated clusters.

Classification of Sentiment Towards BPJS Services Using the C50 Algorithm Amellia Fahezha Cahyaningrum; Yulison Herry Chrisnanto; Ade Kania Ningsih
Enrichment: Journal of Multidisciplinary Research and Development Vol. 1 No. 8 (2023): 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.v1i8.71

Social media provides a timely source of public feedback on services delivered by the Social Security Administering Body for Health (BPJS Health), a State-Owned Enterprise responsible for Indonesia's public health insurance program. This study aimed to evaluate the ability of the C5.0 algorithm to classify positive and negative sentiment toward BPJS services in Twitter data. Applied quantitative research with an experimental text-classification design was conducted using a secondary dataset obtained from Kaggle. The implemented database displayed 3,060 documents. Data were processed through cleaning, case folding, tokenization, filtering, stemming, and TF-IDF weighting, followed by C5.0 classification and confusion-matrix evaluation using an 80:20 split. The reported test matrix comprised 621 cases: 6 true positives, 579 true negatives, 4 false positives, and 32 false negatives. These values produced 94.2% accuracy, 60.0% precision, and 15.8% recall. Although the aggregate accuracy was high, the low recall shows that the model detected only a small proportion of the positive class and was strongly influenced by the majority class. Therefore, the current model demonstrates the technical feasibility of applying C5.0 to BPJS-related tweets but cannot yet be considered balanced or fully reliable for service evaluation. Future optimization should address class imbalance, verify dataset labeling, and report complementary metrics before the results are used to support BPJS service-improvement decisions.

Hyperkalemia-Related Renin Angiotensin-Aldosterone System Inhibitors: Mechanism, Clinical Significance, and Management Rizal Rahmanda Akbar
Enrichment: Journal of Multidisciplinary Research and Development Vol. 1 No. 9 (2023): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

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

Hyperkalemia refers to a medical condition in which potassium levels in the blood increase beyond normal values. This condition often occurs in patients suffering from chronic kidney disease (CKD) and heart failure, which can lead to serious complications and require special treatment from a cardiologist. Factors such as chronic kidney disease, heart failure, diabetes mellitus, and the use of drugs that inhibit the Renin-Angiotensin-Aldosterone (RAA) system are known to be a support that causes hyperkalemia. Using qualitative research methods, this approach focuses on semi-structured interviews with cardiologists, nephrologists, endocrinologists, and nurses who have experience in treating patients with hyperkalemia. Meanwhile, patients' perspectives will also be accommodated through group focus to understand their clinical impact and experience. The aim of this study was to investigate the mechanisms associated with angiotensin-aldosterone renin system (RAA) inhibitors related to hyperkalemia, as well as identify their clinical significance. In addition, this study aims to understand and analyze management strategies that can be applied in overcoming hyperkalemia associated with the use of RAA System inhibitors. Further objectives include providing in-depth insight into the impact of RAA System inhibition on potassium balance in the blood, evaluating the clinical significance of RAA-inhibitor-induced hyperkalemia conditions, and devising effective guidelines for hyperkalemia management in the context of the use of such drugs.

Total Quality Management (TQM) in an Effort to Improve Education Services Through Teachers and Education Personnel at State Vocational High School 1 Dlanggu Mojokerto Antonius Yudha Setyawan; M. Jamal Abdul Nasir; Tri Cicik Wijayanti
Enrichment: Journal of Multidisciplinary Research and Development Vol. 1 No. 9 (2023): 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.v1i9.73

The improvement of educational services requires schools to maintain the quality of services provided through teachers and education staff, particularly in responding to the changing needs of industry and the world of work (IDUKA). This research was carried out to find out the implementation of TQM in schools, including educational services through teachers and education personnel, monitoring and evaluation of TQM, and the school's efforts in maintaining the quality of educational services. This study uses a qualitative research approach to understand and describe in depth TQM in improving educational services through teachers and education personnel. The results show that State Vocational High School 1 Dlanggu focuses on customers, involves the entire academic community and IDUKA, makes continuous improvements, and builds a joint commitment. Monitoring is carried out by the principal with assistance from the representative of quality management, while evaluation focuses on key performance indicators, vision, mission, and school goals. The school maintains service quality by meeting the needs of internal and external stakeholders, improving the competitiveness and quality of graduates, partnering with industry and the world of work, and building a good culture. These findings imply the importance of maintaining credible educational services and continuously improving the expertise competencies of teachers and education staff.

The Effect of Financial Statement Quality on Investment Efficiency with Litigation Risk as a Moderating Variable Ayu Febrianggi; Linda Arisanty Razak; Wa Ode Rayyani
Enrichment: Journal of Multidisciplinary Research and Development Vol. 1 No. 9 (2023): 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.v1i9.74

Investment efficiency remains important for manufacturing companies because inefficient capital allocation may reduce the benefits of investment and weaken the use of corporate resources. This study examines the effect of financial statement quality on investment efficiency and the moderating role of litigation risk in manufacturing companies listed on the Indonesia Stock Exchange during 2018-2022. The study uses a quantitative explanatory research approach. The population comprises 193 manufacturing companies, and purposive sampling produced a sample of 39 companies observed for five years, resulting in 195 firm-year observations. Data were collected through documentation of company annual reports and market data and were processed using IBM SPSS Statistics. The analysis uses regression and an interaction term to evaluate the moderating role of litigation risk. The results show that financial statement quality has no significant effect on investment efficiency (B = 0.165; t = 0.986; p = 0.325; R² = 0.005). In the moderated model, the interaction between financial statement quality and litigation risk is positive and significant (B = 0.499; t = 2.486; p = 0.014), while the model explains 5.9% of the variance in investment efficiency (R² = 0.059). These findings indicate that litigation risk moderates the relationship between financial statement quality and investment efficiency, although the explanatory power of the model remains limited. The results imply that financial reporting quality should be considered together with external legal pressures when evaluating investment efficiency

PAI Teachers' Challenges in the Concept of Digital Transformation in the Era of Society 5.0. Asep Mulyana; Rizki Oktaviani; Ririn Khairunnisa; Rosinah Rosinah; Intan Indriawati
Enrichment: Journal of Multidisciplinary Research and Development Vol. 1 No. 9 (2023): 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.v1i9.75

Changes in the era of digital society 5.0 as a continuation of the development of the industrial revolution 4.0 have an impact on all lines of life, including the education sector. Educators have major obstacles in dealing with Industry 4.0 and Society 5.0. Therefore, an Islamic religious education teacher must carry out various active, innovative, and creative learning strategies to enter the scope of digital Society 5.0 transformation in the learning process. The purpose of this study is to find out and analyze how the challenges of PAI teachers are in the concept of digital transformation in the era of Society 5.0. This research is library research with an in-depth discussion of the contents of written or printed information in the mass media. Data are collected from relevant sources, including books, journals, and other internet-based information, and analyzed using content analysis. The results of this study are that in facing the challenges of PAI teachers in the concept of digital transformation in the era of Society 5.0, a teacher must be literate and understand various types of technological media that can be applied in the learning process. For example, content material can be delivered with E-learning such as Zoom, Google Meet, and Google Classroom. These findings imply that PAI teachers need to strengthen digital literacy and develop active, innovative, and creative learning strategies while adapting Islamic religious education to technological developments in the Society 5.0 era

Determinants of Non Perfomance Financing in Sharia Cooperatives in Indonesia Ahmad Jainuri; Dwi Orbaningsih; Oyong Lisa
Enrichment: Journal of Multidisciplinary Research and Development Vol. 1 No. 10 (2024): 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.v1i10.76

Problematic financing remains an important risk for sharia cooperatives because financing quality directly affects the sustainability of their financial performance. This study aims to test and analyze the effects of the capital adequacy ratio (CAR), operating costs to operating income (BOPO), and company size on non-performing financing (NPF), and to identify the variable with the dominant influence on NPF. The research was conducted on 30 sharia cooperatives incorporated in Inkopsyah BMT using a saturated sampling technique. Observations covered the 2020–2022 period, producing 90 cooperative-year observations. Data were obtained from financial statement documents and analyzed using multiple linear regression after linearity, model-feasibility, and classical-assumption testing; hypotheses were tested using t-tests. The results show that CAR has a significant negative effect on NPF, BOPO has a significant positive effect on NPF, and company size has a significant negative effect on NPF. Among the variables examined, BOPO has the largest reported regression coefficient and a significant positive relationship with NPF. These findings indicate that capital adequacy, operational efficiency, and asset size are associated with the level of problematic financing in the sampled sharia cooperatives. Practically, the results emphasize the importance of controlling operating costs relative to operating income while maintaining adequate capital and effective asset management to support NPF management in Inkopsyah BMT member cooperatives

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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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