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Amiruddin Setiawan
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INDONESIA
Indonesian Journal of Education and Social Science
Published by Papanda Publisher
ISSN : -     EISSN : 28306996     DOI : 10.56916/ijess
Core Subject : Education, Social,
Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other
Indonesian Journal of Education and Social Science (IJESS), with ISSN 2830-6996, is a biannually online, peer-reviewed and open-access journal which is published by Papanda. IJESS aims to publish high-quality papers in all areas of Education and Social sciences. The journal is committed to publishing new scholarly research ideas and insights in the shape of research articles that have a significant impact on the Education and Social Science field as a whole.
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 18 Documents
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Search results for , issue "Vol. 4 No. 1 (2025)" : 18 Documents clear
Evaluation of Industrial Training Learning Experiences Ling, Jen Hua; Leong, Wen Kam
Indonesian Journal of Education and Social Sciences Vol. 4 No. 1 (2025)
Publisher : Papanda Publishier

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/ijess.v4i1.967

Abstract

Industrial training (IT) is a critical component of engineering education, offering students practical experience and linking academic theory with professional practice. However, its effectiveness in preparing students for the workforce has not been thoroughly examined. This study assesses IT by evaluating its alignment with the standards of the Engineering Accreditation Council (EAC) and collecting student feedback through surveys with 23 students. The findings reveal that the IT met all 11 EAC requirements. Survey results indicate that all students gained valuable real-world insights, with 95.7% reporting improved technical skills and 91.3% noting enhanced soft skills. Despite these positive outcomes, several challenges were identified, including subjective student feedback, inconsistent industrial exposure, limited training duration, and difficulties in monitoring and assessment. These findings highlight areas for improvement in both the curriculum and the IT, suggesting future efforts should focus on refining industrial exposure, enhancing assessment methods, and fostering stronger collaboration with industry partners.
Teacher Practical and Pedagogical Skills Acquisition (TPPSA) Framework For Skills Acquisition In Leatherwork: The Case Of Tamale Technical University Issah, Mohammed Seini; Tachie-Menson, Akosua; Harry Barton, Essel
Indonesian Journal of Education and Social Sciences Vol. 4 No. 1 (2025)
Publisher : Papanda Publishier

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/ijess.v4i1.981

Abstract

This paper presents a framework for the instruction of Leatherwork and practical programs aimed at skills acquisition. The development of the pedagogical framework was inspired by observations of teaching and learning in Leatherwork, as well as a series of interviews conducted at the Department of Art and Design Innovation at Tamale Technical University. Additionally, the framework draws from various models, including Technological Pedagogical Content Knowledge TPACK developed by Koehler and Mishra (2009), the Successive Approximation Model (SAM) model, and the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model as proposed by Molenda and Pershing (2003), along with the Ghana National Teachers Guide (2017) in conjunction with established teachers' standards. The pedagogical framework is designated TPPSA. The development of the Teacher Practical and Pedagogical Skills Acquisition (TPPSA) framework is essential for the effective teaching of both content and practical knowledge in technical universities. This structured framework is designed to facilitate skills acquisition among technical university students. This paper commences with a brief introduction to leatherwork as a practical program within Ghanaian technical universities, thereby situating the pedagogical framework within the context of leatherwork. Additionally, it addresses the challenges associated with the teaching and learning of practical courses in technical universities, which underscore the necessity for the development of the TPPSA pedagogical framework. The TPPSA framework for skills acquisition is articulated in detail as a complex interaction among three domains of knowledge: teacher philosophy, pedagogical strategies, and practical skills. The interplay of these domains, both theoretically and in practice, engenders the flexible knowledge required to effectively cultivate content knowledge and practical skills among students in technical universities.
Optimizing Electoral Integrity: The Effectiveness of Bawaslu Kubu Raya's Strategies in Preventing Violations in the 2024 General Election Larasati, Azizah; Heronimus, Viktorius; Alsina, Bima; Ramadanu, Ramadanu; Yinwana, Nursiti
Indonesian Journal of Education and Social Sciences Vol. 4 No. 1 (2025)
Publisher : Papanda Publishier

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/ijess.v4i1.1017

Abstract

Elections play a crucial role in empowering citizens to choose their leaders. Every eligible citizen has the right to vote for their preferred candidate or party, and the outcomes determine leadership at various levels of government. Bawaslu, as an election monitoring agency, holds a critical mandate to develop and implement strategies to prevent violations during the electoral process. This study aims to evaluate the effectiveness of Bawaslu Kubu Raya’s strategies in preventing violations during the 2024 elections. A qualitative descriptive research method was employed to provide an in-depth understanding of this issue. Data collection techniques included observation, interviews, and documentation, while Hasibuan’s effectiveness indicators—Work Quantity, Time Utilization, and Capacity Building—were used to assess the strategies. The findings reveal that Bawaslu Kubu Raya’s strategies are optimal, as evidenced by a reduction in reported violations and proactive community involvement in monitoring. This study underscores the importance of collaborative initiatives and capacity-building efforts in enhancing electoral integrity and transparency.
Combating Hoaxes in Elections: The Role of High School Education in Safeguarding Democracy Hildawati; Pratiwi, Angelika Yuni; Two, Abril Tika Gagas; Julisa, Monika; Firmansyah, Yoki
Indonesian Journal of Education and Social Sciences Vol. 4 No. 1 (2025)
Publisher : Papanda Publishier

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/ijess.v4i1.1018

Abstract

The proliferation of hoaxes in Indonesia, particularly during election periods, poses significant challenges to the nation's democratic process by influencing public perception, destabilizing socio-political conditions, and undermining trust in institutions. This study explores the understanding and involvement of high school students in detecting hoaxes and monitoring information. Conducted at SMA Taruna Bumi Khatulistiwa Pontianak, the research utilized a qualitative descriptive method, involving 115 students who participated in the program "Detecting Hoaxes and Engaging in Participatory Monitoring." Data collection employed triangulation techniques, including interviews, observations, and documentation.The findings revealed that while most students are familiar with the concept of hoaxes and their basic forms, such as false news and manipulated images, their understanding of the broader socio-political and digital security impacts remains limited. Additionally, their participation in information monitoring is minimal, influenced by a lack of knowledge, skills, and motivation. The study identified key shortcomings in the current socialization program, including limited practical training, lack of interactive and participatory approaches, and inadequate emphasis on the long-term consequences of hoaxes. The research recommends enhancing the program through interactive activities, such as case simulations, digital literacy workshops, and collaborative anti-hoax campaigns. By equipping students with critical thinking and digital verification skills, and fostering collective awareness, the program can empower students to act as active agents in combating hoaxes and maintaining information integrity. This study underscores the importance of education and participatory approaches in addressing the challenges posed by hoaxes in the digital era.
Leveraging Automation and Traceability in Managing Changes to Mission-Critical Computer Systems Zangana, Hewa; Ali, Natheer Yaseen; Bazeed, Sameer Mohammed Salih; Abdullah, Dilovan Taha
Indonesian Journal of Education and Social Sciences Vol. 4 No. 1 (2025)
Publisher : Papanda Publishier

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/ijess.v4i1.1016

Abstract

Managing changes to mission-critical computer systems presents unique challenges, especially when reliability, security, and real-time performance are paramount. Traditional change management processes can be inefficient and error-prone, leading to potential disruptions. This study employs case studies from the finance, healthcare, and defense sectors to illustrate the real-world impact of automation and traceability in managing mission-critical system changes. Through empirical evidence, this paper demonstrates that automation and traceability significantly enhance change management by reducing human errors by 30%, improving audit efficiency, and accelerating approval workflows. Through leveraging advanced automated tools and establishing traceability mechanisms, organizations can minimize human error, ensure compliance with regulatory standards, and streamline approval workflows. Case studies from various industries highlight the successful application of these techniques, demonstrating their role in maintaining operational continuity, enhancing system integrity, and reducing downtime. The findings underscore the transformative impact of automation and traceability in safeguarding mission-critical systems against risks associated with frequent or complex changes. Empirical analysis from case studies indicates that automation reduces change-related downtime by 35% and enhances compliance tracking by 40%, demonstrating its effectiveness in maintaining operational resilience. Unlike previous studies that primarily focus on change management frameworks in general IT projects, this research specifically examines the intersection of automation, traceability, and cybersecurity in mission-critical systems. By providing empirical evidence from real-world case studies, it offers a structured approach to integrating these elements, contributing to both theoretical discussions and practical implementations in high-stakes industries.
Experiences of Postgraduate Doctoral Students’ Supervision Through Distance Education: A Case of Oshana Region, Namibia Shapaka, Rehabeam
Indonesian Journal of Education and Social Sciences Vol. 4 No. 1 (2025)
Publisher : Papanda Publishier

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/ijess.v4i1.1095

Abstract

This article delves into postgraduate doctoral students learning experiences at doctoral supervision aiming to investigate postgraduate doctoral students learning experiences at doctoral supervision at distance education in Oshana Region in Namibia. Qualitative case study research design, which emanates from constructivist worldview, was employed to explore postgraduate doctoral students learning experiences at doctoral supervision at distance education in Oshana Region in Namibia. Interview schedules, field notes and open-ended questionnaire were used to collect data. Criterion purposeful sampling technique was used to choose six doctoral students who finished doctorate studies at distance education. Typological analysis, thematic analysis, content analysis and Atlas.ti were used to analyse data. Findings have established that a close relationship and effective communication in postgraduate doctoral student supervision constitutes practices which have effects on postgraduate student supervision which affect their performance which result in positive and negative postgraduate student outcomes. Postgraduate doctoral student should use supervision practice to improve, enhance their performance. Postgraduate doctoral student should study and learn the application of postgraduate doctoral supervision practice; apply them to optimise success and enhance teaching and learning that result on postgraduate doctoral student outcomes. The type of relationship, and communication, academic and personal concern and interest, mode of supervision as well as challenges faced by postgraduate doctoral student have effect on postgraduate doctoral student supervision.
Design and Development of the Students Performance Prediction Modul Using Open Education Resource Ibrahim, Abu Bakar; Sauji, Anis Athira; Mazlan, Ahmad Uzair; Dzulkifly, Summayyah
Indonesian Journal of Education and Social Sciences Vol. 4 No. 1 (2025)
Publisher : Papanda Publishier

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/ijess.v4i1.1144

Abstract

Data mining is a tool to assist in decision-making. It is a modern technique, and it is still at a low level of implementation in this approach in Malaysia. In the market sector, data mining methods are usually used specifically to understand, predict, and schedule, which will improve organizational results. This project aims to predict student performance in MyGuru using activity log data. The prediction in this study helps to see a clear vision of student patterns and the activities they access most when logging in to MyGuru. With the resulting prediction model, student performance can be detected, which is influenced by the activities while accessing MyGuru. In developing this research, the main important part is extracting features. Feature extraction needs to be done clearly so that accuracy values ​can be achieved. The features in this study are selected from the attributes in the activity log. After converting the raw data, the data becomes a new dataset that is used to create a model according to the classifier. The classifiers used in this research are Random Forest, Support Vector Machine, Naive Bayes, K-Nearest Neighbors, and J48, which are involved in developing the model. The most accurate classifier for predicting student performance was Random Forest, which was 96.9%. Students, while using the MyGuru system, with the total of courses viewed was 15.68%, out of a total number of 644 people.The findings show that accuracy cannot be obtained if the original dataset has some issues, such as unbalanced data. Imbalanced data can affect accuracy.
Assessing Variuos Interventions Guiding the Effectiveness of Local Economic Development Initiatives for Local Governments of Ohangwena region, Namibia SHIWAYU, Eliud Mandume; Haufiku, Isdor; Nghuushi, Paulus Ndatiheeno
Indonesian Journal of Education and Social Sciences Vol. 4 No. 1 (2025)
Publisher : Papanda Publishier

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/ijess.v4i1.1145

Abstract

The core objective of this study was to assess various interventions guiding the effective implementation of local economic development (LED) initiatives for local governments (LGs) of the Ohangwena region (OhR) in Namibia and elsewhere worldwide. The Acts, Theories, Economic Policies, and Procedures are designed for sustainable measurements of MDGs in comprehending the SDGs in LGs toward the interlinkages of economic, social, institutional, political, and environmental features. Therefore, the study assessed various theories, acts, policies, and procedures that provide a framework for exploring the processes of effective interventions by LGs in a management sense. A questionnaire and an interview guide were used and designed according to the objectives of this study. The data was collected through mixed-method research (MMR) and analyzed using Microsoft Excel (MSE) for quantitative data, and inductive thematic analysis (ITA) for qualitative data, which provided relevant analysis for the data. The results of the study on Theories 89%, Acts 91,2%, Policies, Procedures, and Regulation 91,3% would effectively bolster LED management through evidence-based interventions guided by internal and external stakeholders to confirm the effective interventions for best practices of LED initiatives toward sustainable measurements and minimal standards of various interventions for effective LED initiatives in LGs. The article assessed the economic policies, procedures, theories, acts, and institutions needed to generate and sustain economic growth and development. It argues that the effectiveness of LED initiatives represents an informative and integrated understanding of interventions on policies, procedures, acts, theories, and institutional reforms needed in broad local areas of LGs.

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