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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 627 Documents
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Development and Evaluation of a Gamified Mobile Application with Two-Dimensional Animation for MPASI Education to Support Stunting Prevention Diny Anggriani Adnas; Sri Arnilasari; Milasari Milasari
Electronic Journal of Education, Social Economics and Technology Vol 7, No 1 (2026)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v7i1.1458

Abstract

Inappropriate Makanan Pendamping Air Susu Ibu (MPASI) practices (complementary feeding) remain one of the major contributors to child malnutrition and stunting during the first 1,000 days of life. This study aimed to develop and evaluate a gamified mobile application incorporating two-dimensional (2D) animation as a nutrition education medium to improve mothers' knowledge and adherence to appropriate MPASI practices. A Research and Development (RD) approach using the ADDIE model was employed. The application was developed using the Flutter framework and integrates educational modules, 2D animations, interactive quizzes, local food-based MPASI recipes, daily checklists, and gamification features. Its effectiveness was evaluated using a One-Group Pretest–Posttest design involving 30 mothers. Data were analyzed using descriptive statistics, the Shapiro–Wilk test, the Wilcoxon Signed-Rank Test, effect size analysis, and the USE Questionnaire. The results showed that the mean knowledge score increased from 8.93 to 9.97, while the adherence score improved from 27.53 to 30.53 after using the application. Significant improvements were observed for both variables (p = 0.001), with large effect sizes (r = 0.61 and r = 0.62). The application also achieved an excellent usability score (3.70) and high reliability (Cronbach's Alpha = 0.961). These findings indicate that the proposed application effectively improves mothers' knowledge and adherence regarding MPASI while providing an excellent user experience, demonstrating its potential as a digital nutrition education tool to support stunting prevention.
Consistency of the Base-Ten System in Counting-Grid Visuals: A Content Analysis of First-Grade Elementary School Mathematics Textbooks Lidwina Cornelia Maniboey; Tiffany Shahnaz Rusli; Rispah Purba; Alim Mutaqin
Electronic Journal of Education, Social Economics and Technology Vol 7, No 1 (2026)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v7i1.1467

Abstract

This study aims to analyze the consistency of the number bases used in counting-grid visual media in Grade 1 elementary school mathematics textbooks published by the Indonesian Ministry of Education, Culture, Research, and Technology, and to formulate instructional media solutions that ensure such consistency. The analysis covered two textbooks, namely Tim Gakko Kasho (2021) and Wulan (2023). The study employed content analysis using a qualitative-descriptive approach. The findings indicate that Tim Gakko Kasho (2021) uses counting-grid media with inconsistent number bases, including bases 5, 7, 9, and 10. Some pages even present two different bases simultaneously. Meanwhile, Wulan (2023) uses a 2 × 5 grid format that structurally develops base 5 before base 10. Such inconsistencies in iconic representation may lead to misconceptions about number bases, conflicts in cognitive schemas, and long-term difficulties in mastering place value and arithmetic operations in subsequent grades. Drawing on the Concrete–Representational–Abstract (CRA) framework, which aligns with Bruner’s theory of representation, and supported by the theories of Van de Walle, Ma Liping, Clements and Sarama, Piaget, and Kilpatrick et al., this article recommends the use of a 1 × 10 counting-table card with buttons as concrete or enactive media, and a 1 × 10 counting-grid image completed with writing tools as semi-concrete or iconic media. These media are proposed as solutions to ensure consistent use of the base-ten system across all stages of representation.
The Impact of Financial Technology on Financial Performance in General Banks in Indonesia Riska Andani; Busra Busra; Yusri Hazmi
Electronic Journal of Education, Social Economics and Technology Vol 7, No 1 (2026)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v7i1.1389

Abstract

The rapid development of Financial Technology (Fintech) has significantly reshaped banking operations in Indonesia. This study investigates the impact of Fintech represented by Phone Banking, Mobile Banking, and Internet Banking on the financial performance of Indonesian commercial banks measured by Return on Assets (ROA). Using quarterly data from 2022 to 2024 and applying the Vector Error Correction Model (VECM), the research confirms a long-term equilibrium among the variables. Long-term estimation results reveal that only Phone Banking significantly affects ROA, while Mobile Banking and Internet Banking do not. In the short term, Mobile Banking influences Phone Banking, and both Phone and Internet Banking exhibit Granger causality toward ROA, though without direct short-term significance. The findings suggest that while digital banking services are broadly utilized, their impact on profitability remains limited, potentially due to high operational costs and shifting customer preferences. The study recommends that banks refine digital strategies, particularly in Phone Banking, to enhance their financial performance. The research also demonstrates the utility of VECM in analyzing both short-term dynamics and long-term relationships in digital finance.
Evaluation of Mukim Institutional Policies Using The CIPP Model In North Aceh Regency Nanda Mahfudzah; Aiyub Aiyub; Muhammad Hasyem; Muklir Muklir; Muryali Muryali
Electronic Journal of Education, Social Economics and Technology Vol 7, No 1 (2026)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v7i1.1407

Abstract

This study aims to evaluate the policies of mukim institutions in North Aceh Regency using the CIPP Model (Context, Input, Process, and Product), identify supporting and inhibiting factors, and formulate recommendations to strengthen mukim institutions. The background of this research is based on the fact that the role of mukim in the local government system has not been optimal, even though it has a strong legal foundation. In its implementation, mukim faces various obstacles, such as unclear institutional position, budget limitations, low human resource capacity, minimal facilities and infrastructure, and weak coordination between institutions. This study uses a qualitative method with data collection techniques through interviews, observations, and documentation. The research informants include DPMG, sub-district heads, imum mukim, geuchik, tuha peut, mukim forum chairpersons, community leaders, and academics. The research results show that in terms of context, mukim is still socially relevant.  However, the clarity of the institutional position has not yet been established. In terms of input, resource support is still limited. In terms of process, policy implementation has not been effective, whereas in terms of product, the impact on residents is still limited within the government system. Recommendations are directed at strengthening authority, increasing resources, and optimizing institutional coordination.
Adaptive Polynomial Regression Analysis For Predicting Indonesian Stock Exchange Movements With R-Square Optimization And Trading Channel Construction Ade Putra Prima Suhendri; Amin Hidayat; Yuda Samudra
Electronic Journal of Education, Social Economics and Technology Vol 7, No 1 (2026)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v%vi%i.1468

Abstract

Stock price movements in financial markets often reflect rapid macroeconomic shifts and liquidity-driven volatility. This is particularly evident in large-cap, highly liquid stocks within the Indonesian LQ45 index. Traditional deep learning models often struggle with this market's unique volatility, suffering from overfitting, lack of transparency, and look-ahead bias. To address these issues, this study proposes an adaptive rolling polynomial regression (APR) framework for non-linear trend filtering and automated trading signal generation. The method uses a sliding window with endpoint locking to prevent look-ahead bias. At each step, it finds the best lookback window by optimizing a local OLS polynomial regression and filtering out noisy market regimes using a strict R-squared threshold. The resulting trends are converted into trading signals (BUY, SELL, HOLD, CLOSE) through dynamic Z-score volatility channels. When evaluated on daily historical data from 2015 to 2024 for five LQ45 stocks ANTM, ASII, BBCA, PTBA, and TLKM the framework shows an excellent fit, with R-squared values between 0.9881 and 0.9966. Backtesting indicates that the strategies yield positive returns and profit factors above one for all assets. ASII performed best, with a total return of 2680.16%. Despite low win rates (10%), the long-term profitability was maintained as large trend-following gains offset small losses. This study highlights that simple, interpretable mathematical models can provide effective, computationally efficient systematic trading options in emerging equity markets.
Road Condition Recognition Based on Object Classification Using YOLOv8 Nathaniel Putra Haryanto; Mohammad Nasucha
Electronic Journal of Education, Social Economics and Technology Vol 7, No 1 (2026)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v%vi%i.1428

Abstract

The quality of road infrastructure is one of the important factors in supporting the safety and comfort of road users as well as the smooth distribution of transportation. Road maintenance requires periodic monitoring by authorized institutions or agencies. Manual road condition monitoring tends to require considerable time, cost, and manpower, and is also prone to subjectivity. Therefore, a computational system capable of performing this task is needed. Based on this background, this study aims to develop a computer vision-based application for recognizing road conditions. Data consisting of road images with proper annotations (damaged or good) were used to train the YOLOv8 vision model. Our test found that the system accuracy, precision, recall, and F1-score is 0.96, 0.93, 1.00, and 0.96 respectively. The developed application allows users to input road images through a live camera and obtain real-time road condition classification results.
A Study Of The Factors That Influence Stock Investment Decisions Among Young People In West Jakarta, With A Focus On Financial Literacy, Financial Behaviour, Risk Tolerance And Income Retno Puji Astuti; Nurhasanah Nurhasanah
Electronic Journal of Education, Social Economics and Technology Vol 7, No 1 (2026)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v%vi%i.1003

Abstract

This study is motivated by the significant growth of millennial investors in the Indonesian capital market, which is accompanied by low levels of financial literacy. Given the increasingly important role of millennial investors in the economy, it is crucial to understand the factors that influence their stock investment decisions. The study aims to analyse the influence of financial literacy, financial behaviour, risk tolerance and income on stock investment decisions among millennial investors in West Jakarta. A quantitative approach was employed to address this issue, utilising primary data obtained through a survey of millennial investors. The study population was young people in West Jakarta. The sample size was 100 respondents. Regression analysis was conducted using Smart PLS version 4.1.09. The research method and data analysis used were SEM-PLS. The results of the study suggest that financial literacy, financial behaviour and income do not influence investment decisions. However, risk tolerance was found to have a positive and significant influence on investment decisions

Page 63 of 63 | Total Record : 627

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