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INDONESIA
Eduvest - Journal of Universal Studies
Published by Green Publisher Indonesia
ISSN : 27753735     EISSN : 27753727     DOI : 10.36418
Core Subject : Health, Science, Social, Engineering,
Aerospace Engineering Computer Science & IT Health Professions Neuroscience Social Sciences
Eduvest - Journal of Universal Studies is a double blind peer-reviewed academic journal and open access to multidiciplinary fields. The journal is published monthly by Green Publisher Indonesia. Eduvest - Journal of Universal Studies provides a means for sustained discussion of relevant issues that fall within the focus and scopes of the journal which can be examined empirically. This journal publishes research articles multidisciplinary sciences, which includes: Humanities and social sciences, contemporary political science, Educational sciences, religious sciences and philosophy, economics, Engineering sciences, Health sciences, medical sciences, design arts sciences and media. Published articles are from critical and comprehensive research, studies or scientific studies on important and current issues or reviews of scientific books.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 2,419 Documents
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Improvement of Project Monitoring Model Using A Combination of Quality Function Deployment and Lean Six Sigma at PT TEC Rezky Prasetyaji, Muhamad; Fajar Puspita, Niniek; Akhmad Taufik, Tatang
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.50272

Abstract

PT Tripatra Engineering and Construction (TEC) has transitioned its project monitoring system from manual methods to a cloud-storage-based system. However, the current system remains inadequate, often failing to provide accurate real-time data, leading to delays in decision-making. Challenges include data inconsistencies, complex interfaces, slow performance, adaptation difficulties, and integration issues. User feedback highlights work delays (23%) and cost overruns in procurement (1.2 times the budget), potentially causing company losses. This research analyzes user needs and proposes improvements using Quality Function Deployment (QFD) and Lean Six Sigma (LSS). The study develops a prototype EPC project monitoring system focusing on three key enhancements: Real-Time Mailing Distribution, Document Tracking, and User Monitoring Application. These improvements enhance information distribution, document tracking, and monitoring capabilities. The findings indicate that the improved system enhances interdisciplinary collaboration, decision-making quality, and workflow design, emphasizing value-added activities. Additionally, it facilitates real-time data processing to support strategic decisions and foster an adaptive work ecosystem. This prototype serves as a foundation for continuous improvement, operational support, and enhanced project execution effectiveness.
Document Design of Quality Management System Using Cloud Computing at PT XYZ Adiyasa, Farid Dwi; Andajani, Erna
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.50273

Abstract

In the era of Industry 4.0, the integration of advanced technologies in quality management has become a necessity to enhance operational efficiency and data security. This study aims to design a Quality Management System (QMS) document based on ISO 9001:2015 for PT. XYZ by leveraging cloud computing as a Quality 4.0 technology. The research addresses the company's need for secure, centralized document storage and timely information dissemination to external stakeholders. A digital application, in the form of a website, was developed using the waterfall model, which allows for a systematic and structured software development process. This website is integrated with Google Cloud Storage to facilitate secure and scalable document management. The findings indicate that the QMS documentation system designed using cloud computing effectively aligns with the operational requirements of PT. XYZ and provides practical benefits in terms of accessibility, efficiency, and risk mitigation related to document loss. The implementation of this system demonstrates the feasibility and advantage of adopting digital solutions for quality management documentation. This research contributes to the digital transformation of quality systems in manufacturing and service industries, offering a reference model for organizations seeking to modernize their quality documentation processes.
Analysis of Three Tensions in Real Estate Companies in Indonesia (PT XYZ Case Study) Pratama Yudhistira, Ary
Eduvest - Journal of Universal Studies Vol. 5 No. 7 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i7.50276

Abstract

This study aims to measure the management of three tensions in a company. This research was conducted at a real estate company that has been listed on the Indonesia Stock Exchange, namely PT XYZ. Data is obtained through financial data (in the form of audited financial statements for the period 2019 to 2021). The data obtained was then analyzed using a qualitative descriptive analysis approach. The framework in this study is divided into three tensions, namely profitability vs growth, today vs tomorrow, and whole vs parts. To analyze the data needed in this study, researchers used the batting average technique for each tension. Significant findings are found in the whole vs parts tension with a batting average score of 100% while for the other tensions, namely profitability vs growth and today vs tomorrow, each is only 33%. These findings are useful as a source of input for companies and interested parties in encouraging improved financial management and company resources in the future.
Risk-Based Highest and Best Use (HBU) Analysis of Asset Utilization Operations Cooperation Business Model Putra, Agung Andrian
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.50297

Abstract

This study addresses the challenge of optimizing the utilization of Dutch colonial heritage buildings in Indonesia, focusing on the Philately Building owned by PT Pos Indonesia (Persero). The research problem revolves around identifying an ideal business model for asset utilization through operational cooperation (KSO) while assessing investment feasibility and risk mitigation. The objectives are to analyze the optimal business model and evaluate the financial and operational viability of repurposing the building for cultural, culinary, or integrated tourism. A mixed-methods approach was employed, combining qualitative data from interviews, documentation, and observations with quantitative financial analysis (NPV, IRR, Payback Period). The Highest and Best Use (HBU) framework was applied to evaluate legal, physical, and financial aspects, alongside risk analysis using root cause assessment. Findings reveal that an integrated tourism model, combining cultural preservation, entertainment, and recreation, is the most financially viable option, with an IRR of 16.7% and a payback period of 8.14 years. The KSO model emerged as optimal, enabling risk-sharing, professional management, and diversified revenue streams while preserving historical value. Key risks include regulatory compliance and operational challenges, mitigated through detailed planning and partnerships. The research implications highlight the importance of HBU analysis in decision-making for heritage asset utilization, offering a replicable framework for similar projects. Practically, it provides PT Pos Indonesia and other stakeholders with actionable insights to balance preservation and profitability, fostering sustainable development of cultural heritage assets.
Disfavit: Organic Liquid Food for Neurorehabilitation and Nutritional Fulfillment in Post-Stroke Patients with Dysphagia Savitri, Anak Agung Istri Yuri Pratista; Hariantha, Komang Kananta Candra; Asmara, Anak Agung Gde Anom Putra
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.50298

Abstract

Dysphagia, or difficulty swallowing and chewing, often occurs as a result of medical conditions such as strokes that damage the cranial nerves. This condition has the potential to cause malnutrition, aspiration, and decreased quality of life, especially in the elderly. Dietary modification is important, but special products for dysphagia patients with complete nutritional content are still limited. To overcome this, DisfaVit comes as a liquid food in the form of a soluble powder that is soft, filling, high in calories, and low in sugar. Made from organic ingredients, DisfaVit uses moringa leaves, banana peels, and white snapper scales—nutrient-rich leftovers from the food industry—with the addition of soy milk powder, soy protein isolate, and guar gum. This study aims to analyze the secondary metabolite content of moringa leaves and banana peels, evaluate the characteristics, quality, and safety of DisfaVit, and identify the most in-demand formulas. Research methods include literature, experimental, and laboratory studies, with phytochemical, characteristic, safety, and organoleptic testing. The results show that DisfaVit has a high bioactive and nutrient content, is safe to consume, and the P3 formula is the most in demand. DisfaVit has the potential to be a neurorehabilitation solution and improve the quality of life of elderly post-stroke patients with dysphagia
Waste Management in the European Union: A Case Study of Netherlands Respatyo, Gth Hasto; Nugrahani, Henny Saptatia Drajati
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.50300

Abstract

This Study aims to explore Waste Management Strategies in the European Union with examples of waste management implementation in Netherlands. In this study, a multydisciplinnary approach was carried out where waste management would be linked to the commitment of Dutch political parties in carring out regional cooperation related to waste management. EU member states agreed to cooperated on the Waste Prevention Programme (WPP). This study used qualitative methode with data sources from documents published by European Union and The Dutch government. In this Study, the concept of waste management was used. The findings of this study show that waste management in The European Union and its member states is carried out as an effort to achieve the sustainable Development Goals (SDGs). The results show that producers of goods produced in the European Union and their distributors are responsible for the abundance of waste from these products. Basic mechanisms of waste management in Europe, ranging from waste sorting, the use of renewable technology in waste management, and increasing recycling capacity. The conclusion that can be drawn from this study is the importance of waste management strategies for the European Union and its member states. In regional studies, social issues related to the environment such as waste management in Europe can be the subject of in-dept research that can be explored with a multidisciplinary approach and viewed from political perspective.
The Influence of Brand Image, Perceived Service Quality, Perceived Value, and Customer Satisfaction on Customer Loyalty at Clinic a Tangerang Khairunisa, Caesilia; Meilani, Yohana F. Cahya Palupi
Eduvest - Journal of Universal Studies Vol. 5 No. 5 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i5.50302

Abstract

As the number of primary care clinics increases, competition to be patients' first choice intensifies, with service quality playing a crucial role in influencing patient satisfaction and loyalty. In such a competitive environment, customer loyalty is vital, closely tied to customer satisfaction. This study analyzes the influence of brand image, perceived value, perceived service quality, customer satisfaction, and customer loyalty at Clinic A Tangerang. Data were collected from 147 respondents using a non-probability sampling technique and analyzed using SmartPLS 4.1.0.8 software with PLS-SEM. The results indicate that brand image does not affect customer satisfaction (p = 0.823 > 0.05), while perceived service quality (p = 0.000 < 0.05) and perceived value (p = 0.000 < 0.05) significantly influence satisfaction. Brand image (p = 0.000 < 0.05) and perceived value (p = 0.004 < 0.05) positively impact loyalty, but perceived service quality does not (p = 0.496 > 0.05). Customer satisfaction significantly influences loyalty (p = 0.018 < 0.05). These findings underscore the importance of enhancing service quality and perceived value to boost patient satisfaction and loyalty, providing actionable insights for Clinic A Tangerang to strengthen its competitive position.
Ensemble Deep Learning Study for Pest Detection in Strawberry Plants Nugroho, Kahargyan Ario; Mandala, Satria
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.50311

Abstract

This deep learning-based classification model was developed to recognize different types of pest infections in strawberry plants. The model aims to quickly identify pest symptoms, thus enabling efficient pest management in smart farming. This research uses an actual dataset containing images of strawberry leaves collected from smart farm trials. To expand the dataset, open data from platforms such as Kaggle were used, while images of infected leaves were obtained through web crawling with the help of Python libraries. The added data were converted to a uniform size, and PseudoLabeling was used to ensure stable learning on both training and testing datasets. The RegNet and EfficientNet models are selected as the main CNN-based models for iterative learning, with ensemble learning techniques to improve prediction accuracy. The proposed model aims to assist the early identification and treatment of pests on strawberry leaves during the early planting period, a crucial phase in the development of smart agriculture. It is hoped that this model can increase production in the agricultural industry and strengthen its competitiveness. Detecting early symptoms of plant diseases and pests is essential to prevent their development and minimize the damage caused. Although many methods have been developed using deep learning techniques, detecting early symptoms is still challenging due to the lack of datasets capable of training models against subtle changes in plants. Therefore, researchers built an automated data collection system to gather a large dataset of plant images and train ensemble models to detect diseases and pests of the target plants.
Validity of the PJBL-STEAM Teaching Module Containing Local Wisdom of Sasirangan Natural Dye to Increase Scientific Literacy Sholahuddin, Arif; Fuad, Zainal
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.50391

Abstract

PISA 2022 results show that Indonesia's scientific literacy is still low. This is because the learning resources containing local wisdom in learning are very limited. This research aims to analyze the validity of the PjBL-STEAM teaching module containing the local wisdom of natural dye to increase students' scientific literacy. The research method is design research using the ADDIE model with five stages, namely analyze, design, develop, implement, and evaluate. Stage 1) analyze, in the form of an analysis of the curriculum, student characteristics, and existing module products. Stage 2) design, which consists of designing the draft module and research instruments. Stage 3) develop, in the form of collecting validity data through assessments from three experts and two practitioners. Stages 4) implement and 5) evaluate will be carried out in further research. The research results obtained showed content validity of 3.54 (very valid), linguistic validity of 3.49 (very valid), presentation validity of 3.63 (very valid), graphic validity of 3.5 (very valid), and scientific literacy aspect validity of 3.6 (very valid). Based on the assessment results, the PjBL-STEAM module containing the local wisdom of natural dye is valid and can be used to increase students' scientific literacy.
Analysis of Herding Behavior During The Covid-19 Pandemic And Russia's Invasion of Ukraine Abyuda, Gede Satya Wicaksana; Lubis, Arief Wibisono
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.50399

Abstract

The energy sector plays a crucial role in the global economy but is vulnerable to economic crises, pandemics, and geopolitical conflicts that trigger stock price volatility. This study investigates herding behavior among investors during two major crises, namely the COVID-19 pandemic and the Russia-Ukraine invasion, focusing on energy sector stocks listed on the Indonesia Stock Exchange (IDX) from 2018 to 2022. The study aims to identify indications of herding behavior in energy sector stock returns during these crisis periods. A quantitative approach was employed, analyzing daily time series data. The sample consisted of 57 stocks selected using the purposive sampling method based on relevant criteria. Hypothesis testing was conducted to identify differences in herding behavior across the two crisis periods and to evaluate the impact of West Texas Intermediate (WTI) crude oil price fluctuations on herding behavior in the energy sector. The findings reveal indications of herding behavior in energy sector companies during the 2018–2022 period. However, there is no strong evidence to support the occurrence of herding behavior during the COVID-19 pandemic and the Russia-Ukraine invasion. Furthermore, WTI crude oil price fluctuations were not found to significantly influence herding behavior in the energy sector. These findings are expected to serve as a reference for regulators and academics in designing more effective policies to manage market behavior during periods of global uncertainty and to encourage further research exploring other factors influencing herding behavior across various sectors.

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