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Electronic Journal of Education, Social Economics and Technology
Published by SAINTIS Publishing
ISSN : -     EISSN : 27236250     DOI : https://doi.org/10.33122/ejeset
Core Subject : Religion, Economy, Humanities, Health, Science, Education, Art, Social, Engineering,
Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Veterinary Other
Electronic Journal of Education, Social Economics and Technology (eJESET) with ISSN 2723-6250 (online) is a open-access, peer-reviewed multidisciplinary international journal. The journal aims to provide an international platform for researchers, professionals and scientists for solve of problems with multidisciplinary approaches on all topics related to educational, social science, economics and technology to exchange, sharing and disseminate theoretical of current research results as widely as possible. Electronic Journal of Education, Social Economics and Technology (eJESET) publishes the latest research results in multidisciplinary approaches on all topics related to educational, social science, economics and technology. First published in 2020. The Journal is published biannually and is available in open access electronic version.
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 508 Documents
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Regional Financial Performance and Fiscal Independence Strategies in Baubau City Alfajrin, Muhammad Rezky; Juanda, Ahmad; Febriani, Rizki
Electronic Journal of Education, Social Economics and Technology Vol 6, No 2 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i2.1090

Abstract

Fiscal decentralization in Indonesia aims to strengthen the capacity of local governments to manage financial resources independently, yet its implementation continues to face major challenges. Baubau City is among the regions with low fiscal independence, where the contribution of locally generated revenue (PAD) remains weak and reliance on central transfers is still dominant. This study evaluates the financial management performance of Baubau City during 2019–2023 using four main indicators: the fiscal independence ratio, the fiscal decentralization ratio, the routine capacity index, and the fiscal dependency ratio. A mixed-methods approach was applied, combining quantitative analysis of budget realization reports (APBD) with qualitative insights from in-depth interviews with officials at BPKAD and Bapenda. The findings show that the average fiscal independence ratio was 12.21 percent (low), fiscal decentralization 9.6 percent (very poor), routine capacity 10.72 percent (very poor), and fiscal dependency 85.97 percent (very high). These results indicate that fiscal autonomy in Baubau City has not been substantively realized. Institutional weaknesses limited human resources, low taxpayer compliance, and the underuse of digital systems exacerbate the situation. Strengthening fiscal institutions, updating tax databases, adopting digital technology, and optimizing sectors such as tourism, maritime services, and regional trade are necessary to improve fiscal independence and achieve sustainable regional development.
Imagination Therapy through Art and Technology: A Collaborative Mental Health Intervention Ramadhan, Aditya Wahyu; Supriyanto, Eko; Handriyotopo, Handriyotopo
Electronic Journal of Education, Social Economics and Technology Vol 6, No 2 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i2.817

Abstract

This research explores imagination therapy as a creative method aimed at providing visual therapy for ten schizophrenic clients, referred to as "chosen people." Utilizing the concept of hyperreality, the therapy seeks to reactivate cognitive abilities and minimize delusions and hallucinations. Hyperreality is constructed from imagined data, drawing from clients' personal documents, archives, and daily life elements, such as songs, objects, and routines. Imagination therapy integrates clients' unrealized stories, desires, and imaginations with hyperrealistic visuals through collaborative sessions. The process involves repeated evaluations to refine visuals based on client preferences and feedback, ultimately culminating in the creation of a visual lab. The therapy’s effectiveness is assessed using the PANSS (Positive and Negative Syndrome Scale), measuring symptom changes over time. The findings indicate that imagination therapy not only fosters confidence in clients’ ability to process their expectations but also helps reactivate cognitive functions and empower desires. The concept of hyperreality proves essential in enhancing self-confidence and enabling clients to realize their deepest desires, contributing to their overall mental health recovery. This study highlights the potential of using artistic and technological methods in schizophrenia treatment.
Brain Cancer Detection and Localization on MRI Images Using CNN and YOLO Prayitno, Rahmat Subuh; Mulyadi, Romi
Electronic Journal of Education, Social Economics and Technology Vol 6, No 2 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i2.926

Abstract

Brain cancer is one of the diseases with a high mortality rate that requires early detection to increase the effectiveness of treatment. This study proposes a brain cancer detection system based on MRI images by utilizing the Convolutional Neural Network (CNN) algorithm for classification and You Only Look Once (YOLO) for cancer location detection. The MRI dataset was taken from the Kaggle platform and processed through the normalization stage and CNN model training for 20 epochs. The CNN performance evaluation resulted in an accuracy of 94.95%, precision of 93.11%, recall of 89.11%, and F1-score of 91.07%. Furthermore, the YOLO model was used to identify the location of cancer with high visual accuracy. This system was also tested using new images with the results of detecting the location of cancer in an average time of 8.3 seconds for 4 images. The results of the study indicate that the combination of CNN and YOLO can be an effective solution in an automatic, accurate, and fast brain cancer detection system, as well as providing visual support for medical personnel in the diagnosis process. 
School Culture as a Pillar in Shaping the Discipline of Students at GIKI 1 Elementary School in Surabaya Balqis, Annisa Nur; Nafiah, Nafiah; Akhwani, Akhwani; Hartatik, Sri
Electronic Journal of Education, Social Economics and Technology Vol 6, No 2 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i2.949

Abstract

Discipline is one of the fundamental character traits that must be instilled from an early age, especially at the elementary school level. Therefore, school culture plays a crucial role in shaping students' character, including their sense of discipline. This study aims to describe the school culture implemented at SD Giki 1 Surabaya in developing students’ discipline character, as well as to identify the obstacles encountered in the process. This research uses a descriptive qualitative approach with a case study method. Data collection techniques include observation, in-depth interviews, and documentation involving the principal, teachers, and students from grades II and IV. The findings indicate that the development of discipline character at SD Giki 1 is carried out through the habituation of positive activities such as the 5S program (Smile, Greet, Salute, Polite, Courteous), morning literacy, Dhuha prayer, class cleaning duties, and adherence to school rules. However, the school faces challenges such as external environmental influences and inconsistent application of values at home. In conclusion, a consistent, well-structured school culture supported by all parties is effective in fostering students’ discipline character.
Design of a Fuzzy Mamdani Based Decision Support System for Fair Wage Determination of Palm Oil Workers Lubis, Zuheri; Sriani, Sriani
Electronic Journal of Education, Social Economics and Technology Vol 6, No 2 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i2.1059

Abstract

Wage determination in palm-oil plantations often relies on subjective assessments, which may lead to inconsistencies, unfair practices, and disputes between workers and management. To address this issue, this study proposes the application of the Fuzzy Mamdani method as a decision support system for determining plantation workers’ wages. The main objective is to design and implement a fuzzy-based model that provides fair and transparent wage recommendations by integrating multiple worker performance criteria. The research was conducted at PT CSIL with a sample of 45 workers. Four key variables length of service, attendance, overtime, and work performance were formulated into linguistic variables with triangular membership functions. A fuzzy rule base, developed in collaboration with domain experts, was used to perform Mamdani inference with centroid defuzzification. Data were obtained from company records and validated using comparisons with the actual wage distribution determined by the payroll department. The results show that the system recommendations were consistent with the company’s wage decisions for 40 out of 45 workers, representing an agreement rate of 88.9%. This demonstrates that the Fuzzy Mamdani method can effectively reduce subjectivity and improve fairness in wage determination. In conclusion, the proposed system provides a reliable tool to support payroll decision-making in plantation settings. The implications suggest that broader adoption of fuzzy-based models can enhance transparency and worker satisfaction in agricultural wage systems.
The Influence of Interest, Motivation, and Creativity on Household Industry Income in Bireuen Bachtiar, Saprida; Rasyidin, M.; Asrida, Asrida
Electronic Journal of Education, Social Economics and Technology Vol 6, No 2 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i2.528

Abstract

This study aims to analyze the influence of interest, motivation, and creativity on the income of household industries in Bireuen Regency. Household industries play a strategic role in supporting the regional economy; however, they still face various challenges that affect the income levels of business owners. This research employs a quantitative approach using multiple linear regression analysis to examine the relationships between these variables. Data were collected through questionnaires distributed to household industry entrepreneurs in Bireuen Regency and analyzed using classical assumption tests and hypothesis testing. The findings reveal that entrepreneurial interest does not significantly impact household industry income, indicating that a strong desire to run a business does not necessarily translate into higher earnings without the support of other factors such as access to capital and effective business strategies. Similarly, motivation does not make a significant contribution to income growth, even though it may enhance productivity. Additionally, creativity in running a business does not have a notable effect on income, possibly due to the lack of effective marketing strategies or limited market access. On the other hand, external factors such as government policies, infrastructure support, and access to financial resources play a more dominant role in determining household industry income levels.
Implementation of Performance Assessment in Financial Literacy Materials within Social Studies Learning to Foster A Financially Literate Generation at SMP Yadika 2 Raifadilah, Qiden Binta; Ruhimat, Mamat; Logayah, Dina Siti
Electronic Journal of Education, Social Economics and Technology Vol 6, No 2 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i2.1080

Abstract

This study aims to implement performance assessment through individual poster-making tasks in financial literacy materials within Social Studies (IPS) learning. A quantitative approach with a descriptive method was applied. The population consisted of seventh-grade students at SMP Yadika 2, while the sample was selected using a random sampling design, namely class VII B. Data were collected through observation, documentation, and assessment based on six indicators: conceptual understanding, accuracy of information, design creativity, readability, independence, and content relevance. Data were analyzed using descriptive statistics. The results showed that 42 students obtained scores ranging from good to very good, particularly in creativity and conceptual understanding. However, several students still faced challenges in delivering information accurately and in-depth. Performance assessment was proven to enhance students’ engagement and their skills in conveying messages through visual media. This model can be applied as a meaningful project-based learning strategy to strengthen financial literacy in secondary school students.
Bancassurance Strategy in Increasing Sales of Sharia Life Insurance Products: A Case Study of Collaboration Between Prudential Syariah and BSI in Medan City Nur, Dara Lutfiah; Soemitra, Andri; Nasution, Yenni Samri Juliati
Electronic Journal of Education, Social Economics and Technology Vol 6, No 2 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i2.1095

Abstract

This study aims to analyze the bancassurance strategy in increasing sales of sharia life insurance products through a case study of collaboration between PT Prudential Life Assurance Unit Syariah and Bank Syariah Indonesia (BSI) in Medan City. Using a descriptive qualitative approach, data were collected through in-depth interviews with Financial Service Consultants (FSC), BSI marketing staff, and direct observation of marketing activities in the field. The results of the study indicate that the implemented sharia bancassurance strategy includes placing FSCs in BSI branch offices, an educational approach to customers, product integration (bundling), and utilizing BSI's customer database for targeting. This approach has been proven to be able to increase customer understanding of the benefits of sharia life insurance and has contributed significantly to increasing the number of policies and premium contributions received each month. However, the implementation of this strategy is not without challenges. Among them are the referral-based work system that makes FSC dependent on bank staff in reaching potential customers, as well as the low literacy of the community regarding sharia concepts and values in insurance. To overcome this, it is necessary to increase internal synergy, regular training for marketers, and a sustainable and comprehensive sharia financial literacy.
Semantic and Syntaxic Analysis of the 2024 Presidential Debate: A Case Study of Van Dijk's Approach Micca, Salvia; Rahayu, Ririn; Mahsa, Masithah
Electronic Journal of Education, Social Economics and Technology Vol 6, No 1 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i1.935

Abstract

This study aims to analyze the semantics and syntax of Teun A. van Dijk's model in the third presidential debate of the 2024 presidential candidates. This study uses a descriptive qualitative approach. The data in this study are oral discourses in the 2024 presidential debate uploaded by the Indonesian General Elections Commission (KPU RI) YouTube channel with the theme of security, defense, globalization, international relations, geopolitics, and foreign policy. The data source in this study was obtained from the KPU RI YouTube channel with the title "Third Debate of Presidential Candidates for the 2024 Election" which was held on January 7, 2024. The data collection techniques used were documentation techniques, listening techniques, and note-taking techniques. Based on the results of the study, it was found that syntactic elements were more dominant than semantic ones. The most prominent syntactic element was the use of active sentences used by the presidential candidates to build a firm and convincing self-image to the public. Meanwhile, semantic elements were found through background, details, intentions, presuppositions, and nominalizations that shape local meanings in the discourse. It can be concluded that the presidential debate is not just a forum for a contest of ideas, but also a space for the struggle for meaning through structured linguistic strategies. These findings demonstrate how political language is constructed to influence public opinion and shape perceptions of power in a democratic space. Thus, Van Dijk's approach reveals the relationship between language and power in the context of modern political debate.
The Effect of Chimney Height Variation on the Performance of a Solar-Powered Cascara Coffee Dryer Prototype Faisal, Faisal; Suryadi, Suryadi; Ikhwan, Irhamna; Sayuthi, Muhammad; Putra, M. Iqbal Adhya
Electronic Journal of Education, Social Economics and Technology Vol 6, No 2 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i2.1085

Abstract

This study aims to evaluate the effect of chimney height variation on the performance of a solar-powered cascara coffee dryer prototype. Chimney height is an important parameter in drying systems because it affects the rate of hot air flow, relative humidity, and drying process efficiency. An experimental study was conducted by varying the chimney height in the dryer's air outlet duct, then observing the drying performance of coffee cherry husks (cascara) as the test material. The main parameters analyzed included drying time, temperature stability in the drying chamber, drying efficiency, and final product quality. The results showed that variations in chimney height had a significant effect on system performance. A chimney with a height of 220 cm proved to produce the best performance with a more stable air flow rate, consistent drying temperature, and 100% efficiency. This results in a faster, more even, and higher quality cascara drying process. The final product, dried cascara coffee, can then be processed into high-value herbal tea drinks and has the potential to increase coffee product diversification. Thus, this study confirms that proper chimney height adjustment is a crucial factor in the design and development of solar drying technology, especially for agricultural products such as coffee cherry skin. These findings are expected to serve as the basis for developing more efficient, environmentally friendly dryer designs that support increased added value for coffee derivative products at both the farmer and small-to-medium industry levels.

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