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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 526 Documents
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Dermascan: Convolutional Neural Network-Based Skin Cancer Early Detection System Agustin, Arellia; Nurhaida, Ida
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.v6i2.1243

Abstract

Skin cancer continues to show a significant global increase in incidence, and early detection remains essential to reducing mortality rates. Conventional diagnostic techniques such as biopsy are invasive, require considerable processing time, and are not always accessible, particularly in remote or resource-limited healthcare environments, indicating the need for an intelligent and efficient diagnostic support system. This study develops a lightweight Convolutional Neural Network (CNN) model designed to classify seven types of skin lesions using the HAM10000 dataset consisting of 10,015 dermatoscopic images. The preprocessing pipeline involved resizing, normalization, oversampling, and dataset splitting. The training process was conducted for a maximum of 40 epochs and concluded automatically at epoch 29 using early stopping to prevent overfitting. The experimental results demonstrated that the proposed model achieved an accuracy of 98%, and surpassed common pretrained architectures including ResNet50V2 (83%) and VGG19 (67%), with precision, recall, and F1-score metrics showing consistent performance across all lesion classes. The final trained model was integrated into the Dermascan web platform, enabling real-time automated lesion classification from user-uploaded images. These findings confirm that the lightweight CNN model offers a reliable, fast, and accessible tool for early skin cancer detection that can be beneficial for both clinical decision-support and wider public healthcare applications.
Comparative Performance Evaluation of ARIMA, SARIMA, and LSTM for Daily Shallot Price Forecasting in Palembang City Miranda, Fatreisya Ayu; Tania, Ken Ditha; Kurnia, Rizka Dhini
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.v%vi%i.1323

Abstract

Shallots are a food commodity that often experiences price fluctuations and is one of the contributors to inflation in the city of Palembang. This study compares the ARIMA, SARIMA, and LSTM methods in predicting shallot prices using daily data start from January 2020 to October 2025. The Data of shallot price were obtained through the official website of Bank Indonesia. The stages of the study included data collection, pre-processing, visualization and decomposition, split data, modeling, and performance evaluation using the RMSE, MAE, and MAPE metrics. Model performance assessment reveals that ARIMA(1,1,1) method provided the most optimal performance with the lowest error value in comparison with the remaining two other methods, namely SARIMA and LSTM. The SARIMA(1,1,1)(2,1,1)7 model produced a slightly higher error rate, although its performance remains superior than LSTM model. The LSTM method produced the highest error in this study. These findings indicate that the pattern of shallot price data in Palembang tends to follow linear and seasonal trends that are not too complex, so that classical statistical approaches are still superior to deep learning models in capturing these data patterns. This research provides practical contributions as a decision-making support tool for the government and business actors in planning the distribution and stabilization of shallot prices in Palembang City.
Analysis of Accountability in Village Fund Management to Enhance Community Welfare Muksin, Nurul Indah Q.; Leniwati, Driana; Asfiah, Nurul
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.v7i1.1328

Abstract

This study examines the accountability of village fund management as a key determinant of rural community welfare in Indonesia, with a particular focus on villages that are highly dependent on intergovernmental transfers and face socio-economic vulnerability. Anchored in Public Accountability Theory, Good Governance, and Agency Theory, the research addresses a gap in prior studies that largely emphasize procedural compliance and transparency but seldom analyze how accountability dimensions are empirically related to welfare outcomes. The study aims to (1) assess the level of accountability across the stages of planning, budgeting, implementation, reporting, and oversight; and (2) examine the relationship between transparency, participation, legal compliance, effectiveness–efficiency, and public answerability with indicators of community welfare. Using a qualitative or mixed-method approach, data are collected through document review, interviews, and/or surveys involving village officials, community representatives, and relevant stakeholders. The findings are expected to demonstrate how strong accountability practices enhance the effectiveness of village fund utilization for infrastructure, social services, and economic empowerment, while weak accountability is associated with misallocation and limited welfare gains. The study contributes theoretically by integrating accountability, governance, and agency perspectives, and offers practical recommendations to strengthen local financial governance so that village funds more effectively promote equitable and sustainable rural welfare.
Colonial Narratives and “Narrative Colonization”: Analysis of Junior High School Social Studies Textbooks (2004-2023) Daud, Mohamad Rezki; Wardana, Amika; Budiman, Budiman
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.v6i2.1131

Abstract

The theme of colonization is a crucial subject in the teaching of Social Studies at the junior high school level. The process represents a dynamic phase, as colonial domination occurred differently across regions of Indonesia. These variations affect the historical narratives presented in textbooks. This study aims to analyze the narratives of colonization in Social Studies textbooks and their regional representations. The method employed is qualitative content analysis. Data validity and reliability were ensured through four criteria: credibility, transferability, dependability, and confirmability. Data analysis followed the stages of formulating research questions, defining categories, coding data, rechecking, and interpreting the findings. The study examined 27 textbooks, consisting of 7 (seven) from the Competency-Based Curriculum, 10 (ten) from the School-Based Curriculum, 5 (five) from the 2013 Curriculum, and 5 (five) from the Merdeka Curriculum. The findings reveal that, regionally, the complexity of colonial history demonstrates the dominance of certain areas in the narratives of Social Studies textbooks. Java and Sumatra dominate the accounts. The narratives of these regions are more diverse because of their roles as centers of resistance and colonial policy. Conversely, other regions, particularly Papua, are minimally represented despite having their own colonial experiences. This imbalance indicates uneven regional representation of colonial history in the textbooks. Moreover, the analysis shows that colonial narratives often reflect ambiguities in interpreting Indonesian history, especially concerning division, manipulation, and the dual impacts experienced during and after colonization.
Resilience in Women with Dual Roles Who Have Ngayah Responsibilities in Balinese Culture Mahadhini, Vania Sharira Hyacintha Prabaswari; Rahmasari, Diana
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.v7i1.1325

Abstract

Balinese women have complex dual roles, encompassing domestic responsibilities, productive roles, and the cultural obligation of Ngayah within customary structures. This situation has the potential to create role conflict, particularly when the time and energy demands of these various roles clash. This study aims to understand the dynamics of dual role conflict and resilience among Balinese women who carry out Ngayah responsibilities. The study used a qualitative approach using in-depth interviews with married, employed, and traditional Balinese women. Data were analyzed using thematic analysis and triangulation to identify patterns of participants' experiences, meanings, and adaptation strategies. The results indicate that dual role conflict primarily arises from difficulties managing time between customary obligations, work, and family responsibilities. Nevertheless, Balinese women demonstrate strong resilience through various strategies, such as using a priority scale, scheduling customary activities, managing emotions through enjoyable activities, and receiving support from the nuclear family and traditional community. Ngayah is interpreted as an obligation carried out sincerely and becomes a source of spiritual meaning, thus strengthening women's resilience in facing role pressures. Resilience is also formed through cultural values instilled from an early age by the family. This research emphasizes the importance of understanding women's resilience in the context of local culture as an effort to enrich the study of cultural and gender psychology.
Risk Analysis in Salted Fish Agroindustry in Pusong Baru Village, Lhokseumawe City Authar ND, Muhammad; Puarada, Sakral Hasby; Barmawi, Barmawi; Sari, Cut Rozana
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.v6i1.1368

Abstract

The salted fish agroindustry is one of the important economic activities for coastal communities in Lhokseumawe City, especially in Pusong Baru Village. This activity plays a role in increasing the added value of fishery products, but in its implementation it is faced with various risks that can affect business sustainability. These risks include production risk, market risk, and financial risk. This study aims to analyze the type and level of risk in the salted fish agroindustry in Pusong Baru Village, Lhokseumawe City. The research method used is a case study method with a descriptive approach. Data was collected through interviews, observations, and questionnaires to salted fish agroindustry players. Risk analysis is carried out by assessing the probability and impact of the risk, then mapping the level of risk using a risk matrix. The results of the study show that production risk and market risk are the highest level of risks, especially related to dependence on weather conditions and selling price fluctuations. Therefore, an appropriate risk management strategy is needed to support the sustainability of the salted fish agroindustry.
Identification of Style and Characteristics of Colonial Buildings of URC City Post in Lhokseumawe City Sari, Febri Tika; Dafrina, Armelia; Andriani, Dela; Fidyati, Fidyati; Muthmainah, Muthmainah; Saptari, Mochamad Ari; Sofyan, Diana Khairani
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.v6i2.1333

Abstract

The URC City Police Post building in Lhokseumawe City is a legacy of Dutch Colonial Architecture, showcasing a blend of European style (Dutch Land) and local Indonesian elements, known as the Indische Empire Style. This building has a distinctive visual character and is monumental. Some of the main characteristics of colonial architecture found in this building include the presence of sturdy materials such as specially blended cement, terrazzo for floors, Geveltoppen, acroterie roofs, a geometric symmetrical facade, the use of wooden-framed windows, and dormer elements. Classical European decoration (pillars, capitula) is combined with local decorative variations, such as on the cripedoma (entrance decoration) or tympanon. This study aims to identify and analyze the style and characteristics of colonial architecture found in the URC City Police Post building, located in Banda Sakti District, Lhokseumawe City. The research method used is descriptive with a qualitative approach through field surveys, photographic documentation of the object, and direct observation of building elements.
Analysis of Sustainability Report Disclosure Quality from Economic, Environmental, and Social Perspectives at PT Petrokimia Gresik Hadawia, Siti; Kholmi, Masiyah; Rumijati, Aniek
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.v6i2.1233

Abstract

Sustainability reporting is essential for corporate transparency and accountability, yet the quality of such disclosures in Indonesia remains limited. PT Petrokimia Gresik, as a major chemical producer, faces scrutiny regarding its environmental and social impacts, which are not fully reflected in its sustainability reporting. This study examines the quality of the company’s 2023 Sustainability Report based on the economic (GRI 200), environmental (GRI 300), and social (GRI 400) dimensions, referring to the GRI Standards 2021 and the triple bottom line framework. A descriptive qualitative method was employed through interviews with CSR personnel and content analysis of the report. Disclosure quality was assessed using a 0–15 index aligned with compliance criteria. The findings indicate that the report falls into the “Partially Applied” category with an overall score of 58%. The environmental dimension achieved the highest score (71%), followed by economic (60%) and social (48%). The low performance in social reporting stems from limited quantitative data, human resource constraints, and missing disclosures such as human rights assessments (GRI 412). Although the company supports the SDGs, improving reporting quality particularly completeness and data quantification is necessary to strengthen transparency and stakeholder trust.
Constructing Gender Consciousness through TikTok: A Social Representational Analysis of Patriarchal Culture in Indonesia Lestari, Mutiara; Sumarlan, Iman
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.v7i1.1304

Abstract

The expansion of digital media has reshaped how social issues are articulated and negotiated in everyday life, including questions of gender and power. This study examines how gender consciousness is constructed through TikTok content by analyzing social representations of patriarchal culture on the Indonesian TikTok account @bincangperempuan. Employing a qualitative research approach, the study analyzes eight TikTok videos published between January and June 2025 using purposive sampling. Data were collected through content documentation and observation, focusing on narrative, visual, and discursive elements, and were analyzed using qualitative descriptive analysis. The findings indicate that patriarchal culture is predominantly represented through women’s everyday lived experiences rather than abstract or institutional discourse. Personal storytelling, dialogic communication, and audiovisual strategies function as key mechanisms in transforming individual experiences into shared social meanings. Audience interaction further extends this process by fostering collective reflection and reinforcing gender awareness through participatory dialogue. The study demonstrates that gender consciousness emerges as a socially mediated and gradual process, shaped through representation, interaction, and symbolic interpretation. Overall, the findings highlight TikTok’s role as a social space that facilitates the articulation of gender awareness and symbolic resistance to patriarchal norms within contemporary Indonesian society.
Economic Growth of Aceh: A Dynamic Model Analysis Busra, Busra; Syarifudin, Syarifudin; Yulianisah, Yulianisah
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.v7i1.1173

Abstract

Economics growth is influenced by many variables that are interrelated. Each variable is a variable that influences and even influenced. Economic growth over the past ten years has experienced positive growth. However, economic growth has not been able to improve macroeconomic indicators such as unemployment, employment opportunities, inflation, investment and others. Although the economy is growing, poverty is still high. This research was conducted in Aceh. This study aims to determine how economic growth can occur and increase in Aceh. The data in this study comes from reports by the government, We used  data on GRDP, unemployment, poverty, investment, labor and others. The data to be taken is 13 years from 2010-2023. To analysis data in this study, we  uses dynamic model analysis. which is a method of solving complex problems that arise due to the tendency of cause and effect from various variables in the system. This methodology focuses on policy and how its  determines the behavior of problems that can be modeled by dynamic systems. The stages in the process of dynamic system modelling are as follows: problem identification, system building, formulation, simulation and validation, and policy or scenario. From the simulation results, it was obtained that the trend of economic growth will increase if the capital output ratio can be achieved lower than 5, and the capital age can be increased more than 25 years. The local government needs to increase investment to increase output as a consequence of increasing ICOR.

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