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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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A 48-Year-Old Man with Reducible Right Scrotal Hernia: A Case Report Varera, Oriza; Sijabat, Saut Idoan
Eduvest - Journal of Universal Studies Vol. 5 No. 8 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i8.50979

Abstract

A scrotal hernia is a continuation of an inguinal hernia that enters the scrotum. The prevalence of this case is most common in developing countries at 67% compared to developed countries of around 6%. Risk factors that trigger this disease are age, occupation, gender, congenital and previous surgery history. In this case, it was reported that a 48-year-old male patient came with complaints of a lump in the right testicle since 10 years ago. The lump will appear and enlarge especially when the patient coughs, strains or does heavy activities. The lump will disappear and re-enter if the patient lies down and rests. There is no history of trauma and other complaints in the patient. In the examination of the localized status of the dextra scrotum, it was found that there was a round mass or lump with a size of 7x5x3 cm, a dense elastic consistency, the same color as the skin, firmly bounded, intestinal noise (+), inflammatory signs (-), and a lump could be inserted into the abdominal cavity. The operative therapies performed for hernia cases are hernioraphy and hernioplasty.
Exploration of Driving Factors and Benefits of ISO 9001 and ISO 14001 Certification in Five Manufacturing Companies in Indonesia Abdillah, Muhammad Rizky
Eduvest - Journal of Universal Studies Vol. 5 No. 8 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i8.50984

Abstract

The implementation of ISO 9001 and ISO 14001 in the manufacturing industry aims to enhance product quality, operational efficiency, and environmental compliance. This study explores the driving factors and benefits of ISO certification through interviews with five manufacturing companies in Indonesia. The findings indicate that certification adoption is driven by customer requirements, government regulations, and international partner demands. Additionally, ISO certification is utilized to standardize production processes and improve quality and environmental management systems. However, companies face challenges related to employee engagement, changes in ISO standards, and the complexity of external audits. Despite these challenges, the benefits of certification outweigh the difficulties, particularly in improving efficiency, regulatory compliance, and business competitiveness. This study suggests that companies should enhance employee involvement, optimize audit systems, and conduct continuous evaluations to maximize the effectiveness of ISO certification.
The Politics of Unity in Malaysia: A Case Study of the 15th Malaysian General Election 2022 Budiman, Achmad Zahir; Noer, Hamka Hendra
Eduvest - Journal of Universal Studies Vol. 5 No. 8 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i8.50986

Abstract

The 15th Malaysian General Election in 2022 is a democratic celebration in Malaysia which is held every five years. What was interesting about the 15th General Election was the political drama, because there were no political parties or coalitions that achieved a minimum majority, namely 122 seats out of 222 seats. Barisan Nasional and UMNO conducted a Unity Kingdom with Pakatan Harapan after the 15th General Election. In this research, researchers looked at qualitative methods for this case. Unity Politics is considered to be a new political constellation in Malaysia. This is because UMNO and Barisan Nasional have more experience than the other competing parties. Therefore, this research looks at how Pakatan Harapan was able to win in the 15th General Election and the joining of Barisan Nasional-UMNO to Pakatan Harapan.
Tindak Pidana Penipuan Pada Bidang Perbankan Dengan Menggunakan Teknik Social Engineering and Trickery Andika, Prasta Rully; Ali, Nuraliah; Sangalang, Rizki Setyobowo
Eduvest - Journal of Universal Studies Vol. 5 No. 8 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i8.50987

Abstract

Social Engineering adalah ancaman serius dalam keamanan jaringan karena menyerang manusia sebagai target utama. Teknik ini memanipulasi korban untuk mendapatkan informasi sensitif, yang dalam perbankan dapat menyebabkan kerugian finansial dan merusak reputasi. Nasabah harus waspada dan tidak memberikan informasi pribadi kepada pihak yang tidak sah. Penipuan dengan Social Engineering semakin kompleks di Indonesia, menggunakan metode seperti phishing, pemalsuan identitas, dan penipuan sosial. Dalam hukum pidana, tindakan ini dapat dijerat dengan Pasal 378 KUHP yang mengatur tindak pidana penipuan, dengan ancaman hukuman penjara dan denda. Penelitian ini mengkaji pertanggungjawaban pidana atas penipuan nasabah perbankan menggunakan pendekatan normatif, konsep, dan peraturan perundang-undangan. Pengaturan dan pengawasan di sektor keuangan perlu diperkuat untuk mencegah kejahatan ini. Selain itu, penegakan hukum terhadap pelaku harus ditingkatkan agar memberikan efek jera. Perlindungan nasabah juga harus diperkuat melalui regulasi yang memastikan hak-hak mereka serta mekanisme penyelesaian sengketa yang cepat dan adil. Dengan langkah ini, diharapkan keamanan perbankan semakin kuat dalam menghadapi ancaman social engineering.
Hospital Bylaws Hospitals in Providing Legal Protection Against Criminal Acts of Medical Personnel Yongky, Yongky; Kristanto, Kiki; Nugraha, Satriya
Eduvest - Journal of Universal Studies Vol. 5 No. 8 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i8.50988

Abstract

Hospitals have a strategic role in providing comprehensive health services and ensuring legal protection for medical personnel in carrying out their professional practices. The existence of Hospital Bylaws or internal hospital regulations is an important instrument in creating good hospital governance and providing legal protection for medical personnel against possible lawsuits due to alleged negligence or malpractice. This study examines the role of Hospital Bylaws in providing legal protection for medical personnel with a legislative and conceptual approach. The results of the study show that Hospital Bylaws have a role in setting ethical and professional standards, dispute resolution mechanisms, and legal responsibilities of hospitals and medical personnel. Therefore, the optimal implementation of Hospital Bylaws can be a preventive effort in reducing potential medical disputes and improving the quality of health services in hospitals.
Application of Clustering Method for Segmentation of Traffic Accident Profiling With K-Means And K-Medoids Case Study of Toll Bakauheni – Terbanggi Besar Haryanto, Anton; Indra
Eduvest - Journal of Universal Studies Vol. 5 No. 8 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i8.50993

Abstract

Traffic accidents are a serious problem that requires in-depth analysis to identify patterns and risk factors that influence them. This study applies the clustering method in data mining techniques to segment traffic accident profiling on the Bakauheni - Terbanggi Besar Toll Road. Two clustering algorithms, namely K-Means and K-Medoids, are used to divide accident data into three zones, namely the safe zone, the alert zone, and the danger zone. The main objectives of this study are to identify accident distribution patterns and evaluate the performance of the two clustering methods. The results of clustering using the K-Means method show that 29.7% of the data are classified as the danger zone, 38.9% are in the safe zone, and 31.4% are in the alert zone. Meanwhile, the results of clustering using K-Medoids show that 32.8% of the data are in the danger zone, 34.2% are in the safe zone, and 33.1% are in the alert zone. To evaluate the quality of the clustering results, testing was carried out using three evaluation metrics, namely Silhouette Score, Davies-Bouldin Index (DBI), and Purity. In the K-Means method, the Silhouette Score was obtained at 0.365, DBI at 1.117, and Purity at 0.617. While in the K-Medoids method, the Silhouette Score was obtained at 0.273, DBI at 1.440, and Purity at 0.436. Based on the evaluation results, the K-Means method showed better clustering performance than K-Medoids, with a higher Silhouette Score value and a lower DBI, indicating better cluster quality.
Customers Segmentation for Digital Signature Implementation: RFC Analysis Using KMeans Algorithms Rasyid, Abdul Aziz Al; Mandala, Rila
Eduvest - Journal of Universal Studies Vol. 5 No. 8 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i8.51004

Abstract

To cluster institutions that utilize the digital signature service provided by BSrE, with over 200 million digital signature transactions involving 750 institutions, this study conducted an RFC (Recency, Frequency, Conversion Rate) analysis, which is an adaptation of the RFM (Recency, Frequency, Monetary) framework and the K-Means clustering algorithm. The purpose of this analysis is to find significant clusters that reflect user activity patterns. The study found four clusters by using the Elbow Method to determine the ideal number of clusters. It is expected that these findings will help BSrE optimize resource allocation, increase the adoption of digital signature services, and support Indonesia's digital transformation. The findings contribute to the literature on clustering techniques in the context of public services and provide actionable recommendations to improve government policy strategies.
Digital Signature Trends and Forecast (2021 – 2022) for Indonesian Government Affairs Gerhard T, Jonathan; Fahmi, Hasanul
Eduvest - Journal of Universal Studies Vol. 5 No. 8 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i8.51005

Abstract

Since 2018, the Indonesian government has issued a policy regarding Electronic-Based Government Systems. One of the steps taken is to transform documents into electronic documents. The security aspect that can be applied to electronic documents is the digital signature. After the enactment of this policy, digital signature users and transactions have increased. Increasing dynamic electronic signature transactions needs more attention. To deal with this increase in usage, anticipating and predicting the trends in digital signature usage is crucial. Trends prediction data can be used to consider capacity planning of infrastructure resources and improving user experience. The Prophet algorithm is a forecasting tool that has the ability for robust handling of time series data with strong seasonal patterns. The prophet algorithm can analyze patterns in digital signature transactions by accommodating irregular time series. Our research uses a comprehensive set of the Indonesian government’s digital signature transactions over a period of time. This dataset contains seasonal trends, like holidays, weekends, and special events. This condition makes the dataset fluctuate. This research aims to forecast trends and seasonality of digital signature transaction volumes in the future. This research demonstrates the implementation of the Prophet algorithm to digital signature transaction data. It is hoped that the forecasting data resulting from this research can be used as a model in the digital signature sector. Then this model can be used to determine infrastructure resource allocation.
Handling Long Sequences in BERT for Question Answering Systems Pratama, Andreyanto; Fahmi, Hasanul
Eduvest - Journal of Universal Studies Vol. 5 No. 8 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i8.51006

Abstract

The Question Answering System is an important component of Natural Language Processing applications, allowing for efficient information processing and improving user experience. Despite the fact that BERT has provided additional work in QA tasks, the fact that it only supports up to 512 tokens has reduced its effectiveness in large-scale scenarios. This study addresses the problem by introducing a new algorithm that integrates hierarchical and dynamic memory networks with BERT. The method used to collect broad contexts into chunks that may be used for independent research, ensuring that no important information is missing. The dynamic memory module integrates and stores information in real time throughout the system, allowing for comprehensive context understanding. Depending on the SQuAD v2.0 dataset, the model achieved an Exact Match score of 78.10% and an F1 score of 87.27%. The F1-score value of standard BERT with a value of 81.9% increased to 87.27% with this approach. This research investigated the potential of structured and memory networks to overcome the weaknesses of BERT, provide solutions, and adapt to QA tasks.
Development of FAQ Chatbot for Digitization of Warung Gungbiang Marketing in Bali Widhiyanti, Anak Agung Sandatya; Ayu Sekarini, I Gusti Agung
Eduvest - Journal of Universal Studies Vol. 5 No. 8 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i8.51009

Abstract

This research aims to develop a chatbot based on frequently ask question to support more modern digital marketing strategies. Research methods include problem identification, interviews, observation, literature study, designing, developing and testing chatbots. The chatbot was designed using a rule-based approach and developed with PHP and JavaScript technology. Testing involves Blackbox methods to ensure functionality and User Acceptance Testing (UAT) with a Likert scale to evaluate user satisfaction. Blackbox testing shows that the chatbot functionality has succeeded in providing fast and accurate responses to various customer questions regarding products, prices and ordering methods, while in UAT testing, the design, service and efficiency aspects of the chatbot received a score of "very good" with an average percentage above 80%. The implementation of this chatbot is able to increase information accessibility and customer convenience, while also supporting the digitalization of Warung Gungbiang's marketing.

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