cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Riviera
Contact Email
publishingriviera@gmail.com
Phone
+62859117272881
Journal Mail Official
publishingriviera@gmail.com
Editorial Address
Riviera Publishing Berlokasi di Perumahan Palm Asri Pasalakan Blok C No. 5 Kel. Pasalakan Kec. Sumber Kab. Cirebon
Location
Kab. cirebon,
Jawa barat
INDONESIA
Journal Of World Science
Published by Riviera Publishing
ISSN : 28288726     EISSN : 28289307     DOI : https://doi.org/10.58344/jws.v1i1.1
Core Subject : Economy, Health, Science, Social, Engineering,
Computer Science & IT Economics, Econometrics & Finance Engineering Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences
Journal Of World Science is a scientific journal in the form of research and can be accessed openly. This journal is published monthly by CV Riviera Publishing. Journal of World Science provides a means for ongoing discussion of relevant issues that fall within the focus and scope of the journal that can be empirically examined. The journal publishes research articles covering all aspects of social sciences, ranging from Management, Education, Economics, Culture, Law, Engineering sciences, Social and Sains that belong to the social context.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 612 Documents
 36   37   38   39   40 
Application of Data Mining to Measure the Effectiveness of the Islamic Boarding School’s Independent Curriculum based on Learning Achievement using the Clustering Method Imron Rosyadi, Iim; Nurhadits, Fitri; Juliane, Christina
Journal of World Science Vol. 3 No. 5 (2024): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v3i5.595

Abstract

The evolution of educational curricula has been a focal point for institutions aiming to enhance learning outcomes and adapt to students' diverse needs. In this context, Islamic boarding schools, or pesantren, are increasingly exploring independent curricula to better serve their students. This research aims to measure the effectiveness of the independent curriculum at the Al Binaa Bekasi Islamic Boarding School, especially regarding learning achievements in general and Islamic subjects. The method used is data mining clustering to analyze student learning achievement data. In the initial stage, the data collected includes student scores in general subjects (such as Islamic Religious Education, Pancasila Education, Indonesian, English, Mathematics, Science, Social Sciences, Arts, Sports, ICT, Sundanese) and Syar'i (Quran tajwid, hadith, aqidah, fiqh, Hadassah, short). Then, data mining clustering techniques are used to group students based on their achievements in the two subjects. The results of the analysis show that the independent curriculum at Al Binaa Islamic Boarding School effectively increases student learning achievement. The groups formed from data mining clustering show patterns consistent with curriculum objectives, where students in the same group have similar levels of achievement in general and star subjects. This indicates that the independent curriculum has succeeded in leveling student learning achievement. This research contributes to understanding the effectiveness of the independent curriculum in Islamic boarding schools. It can be a basis for further development in designing Islamic boarding school education curricula that are more adaptive and responsive to student needs.
Application of Data Mining Techniques in Healthcare: Identifying Inter-Disease Relationships through Association Rule Mining Haryanto, Haryanto; Winarto, Hadi; Juliane, Christina
Journal of World Science Vol. 3 No. 5 (2024): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v3i5.597

Abstract

This research focuses on the application of data mining techniques in a healthcare environment by utilizing patient visit data from Hospital X, coded with ICD-10 diagnoses. The purpose of this study is to explore the application of data mining techniques in a healthcare environment, specifically to identify the relationship between diseases using patient visit data from X Hospital. This research utilizes the FP-Growth algorithm method followed by Association Rule Mining to find frequent occurrences of diseases in the data set. The research process involved data pre-processing, transformation into binary format, and careful parameter setting (minimum support 0.95 and confidence 0.9). The results showed a strong association between chronic conditions such as hypertension and diabetes, which are prevalent in the patient population. This association provides insight into potential comorbidities and may assist healthcare providers in improving diagnosis accuracy and treatment effectiveness. This research has implications for the application of data mining techniques, demonstrating its potential in improving predictive analytics in healthcare and strategic planning. This approach not only aids in the efficient allocation of healthcare resources, but also aligns with the broader goal of improving personalized patient care.
Analysis of the Placement of Disaster Early Warning Facilities Based on Village Data in West Java with a Classification Approach Utilizing Naive Bayes Algorithm Geo Ginantaka, Prafangasta; Sudartha, Doddi; Juliane, Christina
Journal of World Science Vol. 3 No. 6 (2024): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v3i6.598

Abstract

West Java is one of the regions in Indonesia that is prone to various natural disasters such as earthquakes, floods, and landslides. These disasters are frequent and difficult to predict, such as the tornado that hit Rancaekek, Bandung on February 2, 2024, which caused significant damage. According to data from the West Java Regional Disaster Management Agency (BPBD), this disaster resulted in many damaged buildings and injuries. An early warning system is essential to reduce the impact of disasters. This study aims to place early warning facilities based on village data in West Java using the Naive Bayes method. The method used in this study is a data mining approach to extract patterns and valuable information from data that will be used in strategic decision-making related to the placement of early warning facilities. The data used was obtained from the West Java government's open data site, which includes attributes such as codes and names of provinces, districts, sub-districts, villages/sub-districts, as well as the availability status of disaster mitigation facilities. The results of the study show that many areas in West Java still do not have adequate early warning facilities. The use of Naive Bayes' algorithm aids in data classification and provides insights into the placement of more effective early warning facilities. The implication of this study is the need for more serious and coordinated efforts from the government, non-governmental organizations, and the community to increase the availability of disaster mitigation facilities in West Java.
Optimizing Marketing Strategies Using FP-Growth and Association Rule Mining Algorithms in the Textile Industry NG, Wijaya; Sukma, Robby; Juliane, Christina
Journal of World Science Vol. 3 No. 5 (2024): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v3i5.599

Abstract

This study leverages association rule mining to analyze transaction data from PT. Labda Anugerah Tekstil, a prominent player in the textile industry, to uncover significant purchasing patterns and associations between different fabric types. Utilizing data from January 1, 2022, to December 31, 2023, which includes 7,143 transaction entries, the research applies the FP-Growth algorithm followed by Association Rule Mining to identify and evaluate frequent itemsets and strong association rules within the dataset. The analysis revealed robust associations among fabrics such as Cotton, Linen, Rayon, and Viscose, suggesting substantial opportunities for targeted marketing strategies and inventory management enhancements. The findings indicate that strategically bundling and promoting associated fabrics can drive higher sales volumes and improve customer purchasing experiences. The insights from this study provide actionable strategies for optimizing marketing efforts and inventory management, aiming to enhance sales performance and customer satisfaction in the competitive textile market.
Analysis of the Application of the K-Means Algorithm to the Clustering Method Approach for Grouping Consumer Purchasing Trends at One of the Textile Companies Kurniawan, Debby; Anwari, Hidayat; Juliane, Christina
Journal of World Science Vol. 3 No. 6 (2024): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v3i6.601

Abstract

In Indonesia, the regulation of sexual abuse crimes is a critical aspect of ensuring justice and protection for victims. However, challenges remain in the effectiveness and comprehensiveness of these regulations. This study aims to analyze and evaluate the current legal framework addressing sexual abuse in Indonesia, identifying gaps and proposing improvements to enhance legal protections for victims. The research employs a qualitative approach, utilizing legal analysis and case studies to assess the application of existing laws. Data collection involves reviewing legal documents, court cases, and expert interviews to gather comprehensive insights into the regulatory landscape. The findings indicate significant shortcomings in the legal framework, including inconsistencies in legal definitions, procedural delays, and inadequate victim support mechanisms. The study discusses the implications of these findings, emphasizing the need for a more cohesive and victim-centered approach in legal reforms. This research underscores the necessity for legislative improvements to address the identified gaps in the regulation of sexual abuse crimes. Recommendations include clearer legal definitions, expedited legal processes, and enhanced victim support services. These measures are essential for ensuring justice and effective protection for victims of sexual abuse in Indonesia.
Review: The Potential for Development of Red Palm Oil Industry in East Kalimantan Hamka, Hamka; Saragih, Bernatal; Sumarna, Deny; P. Candra, Krishna; Agustin, Sukmiyati; Marwati, Marwati
Journal of World Science Vol. 3 No. 5 (2024): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v3i5.606

Abstract

Food security is a critical aspect of development, especially in regions like East Kalimantan, Indonesia, where per capita food availability has declined since 2016. The oil palm industry, particularly Crude Palm Oil (CPO), plays a significant role in addressing food security issues by providing a major agricultural commodity that can be processed into various products including red palm oil, which is rich in nutrients like carotenoids, vitamin E, and essential fatty acids. This study aims to explore and analyze the potential development of the red palm oil industry in East Kalimantan. The research utilizes a literature review method, involving the analysis and synthesis of various sources such as scientific journals, reports, and statistical data to assess the potential and opportunities for developing the red palm oil industry in East Kalimantan. The findings indicate that red palm oil, with its high concentrations of beta-carotene and tocopherol, presents a significant opportunity for development in East Kalimantan. Red palm oil can serve as a nutritious alternative to traditional cooking oils and margarine. Despite its potential, the utilization of red palm oil in Indonesia remains limited, mainly restricted to cooking oil production. The study suggests that the development of the red palm oil industry could enhance food security and nutritional intake in East Kalimantan. By promoting red palm oil as a functional food and a nutraceutical product, it could offer a viable solution to improve the health and well-being of the community while also supporting sustainable agricultural practices.
Systematic Literature Review: The Influence of Compensation on Employee Performance in Beauty Clinics in Indonesia Sigit Widodo, Rakhmat; Wening, Nur
Journal of World Science Vol. 3 No. 5 (2024): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v3i5.608

Abstract

Today's beauty business is starting to be looked at by many business people in Indonesia. We can see this from the many public figures who have decided to enter this business. Currently, many people labeled crazy rich are also pursuing this business, so it can be said that the beauty business is quite promising. This study aims to determine the effect of compensation on employee performance in several beauty clinics in Indonesia. The research method used is a Systematic Literature Review (SLR) 6 (six). Journal articles with a slice of compensation variables and employee performance in beauty clinics were published between 2017 and 2023 (see attachment). From searching articles through Google Shoolar, research rabbit and publish or perish, only six articles were found that contained the desired variables with the object of research on employees in beauty clinics. Searches with the keywords compensation, employee performance, and beauty clinics produce many journal articles for research purposes other than beauty clinics. From this study, it is known that four out of 6 articles are studied that state that compensation affects performance in beauty clinics. This illustrates that, in general, compensation will positively affect employee performance in beauty clinics.
Quantum Stem Cell Therapy for Recovery of Liver Disease Susanti Vinski, Deby; Schroeter, CA; Hardjo, Marhaen; Kurniawan Nugroho, Andi; Cinta Vinski, Natasha
Journal of World Science Vol. 3 No. 5 (2024): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v3i5.609

Abstract

Chronic liver diseases pose a significant global health challenge, necessitating the development of novel therapeutic strategies for liver regeneration and functional recovery. Mesenchymal stem cells (MSCs) derived from umbilical cord blood have emerged as promising candidates for liver regeneration due to their multipotent differentiation capacity, immunomodulatory properties, and paracrine effects. This study aims to investigate the efficacy, safety, and underlying mechanisms of stem cell therapy in the recovery and regeneration of liver tissue in patients with liver disease. The research method used is a case study where Mesenchymal Stem Cell therapy offers the potential to modify the natural recovery of Liver function using stem cell-based technology. Case studies were carried out on several Vinski Regenerative Center clinic patients. This review explores the therapeutic potential of umbilical cord blood-derived MSCs in promoting the recovery of liver function in preclinical and clinical settings. We discuss the mechanisms by which MSCs facilitate liver regeneration, including their ability to differentiate into hepatocyte-like cells, modulate immune responses, and secrete trophic factors that promote tissue repair. Preclinical studies demonstrate the efficacy of umbilical cord blood-derived MSCs in ameliorating liver injury, reducing fibrosis, and improving overall liver function. Challenges such as optimal dosing, timing of administration, and long-term monitoring remain to be addressed. Nevertheless, MSCs from umbilical cord blood represent a promising therapeutic approach for liver regeneration and hold great potential for improving outcomes in patients with liver disease.
Analysis of the Effectiveness of the Application of Restorative Justice in Criminal Cases in Indonesia Alif Darmawan, Rifqi; Mahesa Rizki Diputra, Muhammad; Rahman, Alip; Sutrisno, Anom
Journal of World Science Vol. 3 No. 5 (2024): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v3i5.612

Abstract

This research examines the application of restorative justice in Indonesia's criminal justice system, focusing on analyzing its effectiveness in resolving criminal cases. This research aims to examine the application of restorative justice in the criminal justice system in Indonesia, with a focus on analysing its effectiveness in resolving criminal cases. Restorative justice emphasizes victim recovery, offender responsibility, and community reconciliation as an alternative to the traditional punishment-based retributive approach. The research method used is a normative legal study with a qualitative approach and secondary data from a literature review, including books, scientific journals, research reports, and official documents. The research findings show that restorative justice has been successfully applied in several cases, especially minor crimes, with more satisfactory outcomes for victims and better offender rehabilitation. However, there are obstacles, such as limited resources, lack of community understanding, and challenges in the mediation process. Training for mediators, increased public awareness, and supportive policy changes are recommended to improve its effectiveness. The implications of this research indicate the need for legal reforms to integrate restorative justice more broadly in the criminal justice system in Indonesia in order to create a more just and sustainable legal environment.
The Excessive Implementation of ISIC on the Obstruction in the Implementation of KBLI 2020 Aiman, Fawwaz; Mahardhika Septiansyah, Nanda; Fahrizky Ardianto, Isya; Sutrisno, Endang; Yosi Andri, Gusti
Journal of World Science Vol. 3 No. 6 (2024): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v3i6.613

Abstract

The Indonesian Standard Industrial Classification (KBLI) is a collection of business classification codes developed by the Central Statistics Agency (BPS) to categorize business and economic activities in Indonesia. Based on the International Standard Industrial Classification (ISIC), KBLI is integrated into the Online Single Submission (OSS) system, functioning as a tool for issuing business licenses and informing policy design. However, its implementation faces challenges, including the presence of irrelevant and non-functional codes, such as code 92000 for gambling activities, which contradict legal and social norms in Indonesia. This research aims to determine whether the adoption of KBLI over ISIC is excessive, leading to legal implications. A normative juridical approach or doctrinal research method is employed in this study, utilizing secondary data from the legal foundations of ISIC and KBLI, along with other related regulations. The results indicate that the excessive application of ISIC in KBLI has several negative impacts on its effectiveness. Codes irrelevant to the legal and social context in Indonesia render the issuance of business licenses ineffective and contradict the legal requirements stipulated in the Civil Code (KUHPerdata). The findings suggest that efforts are needed to enhance the effectiveness of KBLI in fulfilling its role as a classification system for business fields and economic activities in Indonesia. This can be achieved by considering relevance and local context to avoid unintended legal implications.

Page 38 of 62 | Total Record : 612

 36   37   38   39   40 

Filter by Year

2022 2025


Reset
Filter By Issues
All Issue Vol. 4 No. 12 (2025): Journal of World Science Vol. 4 No. 11 (2025): Journal of World Science Vol. 4 No. 10 (2025): Journal of World Science Vol. 4 No. 9 (2025): Journal of World Science Vol. 4 No. 8 (2025): Journal of World Science Vol. 4 No. 7 (2025): Journal of World Science Vol. 4 No. 6 (2025): Journal of World Science Vol. 4 No. 5 (2025): Journal of World Science Vol. 4 No. 4 (2025): Journal of World Science Vol. 4 No. 3 (2025): Journal of World Science Vol. 4 No. 2 (2025): Journal of World Science Vol. 4 No. 1 (2025): Journal of World Science Vol. 3 No. 12 (2024): Journal of World Science Vol. 3 No. 11 (2024): Journal of World Science Vol. 3 No. 10 (2024): Journal of World Science Vol. 3 No. 9 (2024): Journal of World Science Vol. 3 No. 8 (2024): Journal of World Science Vol. 3 No. 7 (2024): Journal of World Science Vol. 3 No. 6 (2024): Journal of World Science Vol. 3 No. 5 (2024): Journal of World Science Vol. 3 No. 4 (2024): Journal of World Science Vol. 3 No. 3 (2024): Journal of World Science Vol. 3 No. 2 (2024): Journal of World Science Vol. 3 No. 1 (2024): Journal Of World Science Vol. 2 No. 12 (2023): Journal Of World Science Vol. 2 No. 11 (2023): Journal of World Science Vol. 2 No. 10 (2023): Journal of World Science Vol. 2 No. 9 (2023): Journal of World Science Vol. 2 No. 8 (2023): Journal of World Science Vol. 2 No. 7 (2023): Journal of World Science Vol. 2 No. 6 (2023): Journal of World Science Vol. 2 No. 5 (2023): Journal of World Science Vol. 2 No. 4 (2023): Journal of World Science Vol. 2 No. 3 (2023): Journal of World Science Vol. 2 No. 2 (2023): Journal of World Science Vol. 2 No. 1 (2023): Journal of World Science Vol. 1 No. 12 (2022): Journal of World Science Vol. 1 No. 11 (2022): Journal of World Science Vol. 1 No. 10 (2022): Journal of World Science Vol. 1 No. 9 (2022): Journal of World Science Vol. 1 No. 8 (2022): Journal of World Science Vol. 1 No. 7 (2022): Journal of World Science Vol. 1 No. 6 (2022): Journal of World Science Vol. 1 No. 5 (2022): Journal of World Science Vol. 1 No. 5 (2022): Journal World of Science Vol. 1 No. 4 (2022): Journal of World Science Vol. 1 No. 3 (2022): Journal of World Science Vol. 1 No. 2 (2022): Journal of World Science Vol. 1 No. 1 (2022): Journal of World Science More Issue