JRTI (Jurnal Riset Tindakan Indonesia)
JRTI (Jurnal Riset Tindakan Indonesia) ISSN: 2502-079X (Print), ISSN: 2503-1619 (Electronic) is a peer-reviewed, open-access journal that publishes research and practice-based research across multidisciplinary fields of knowledge. The journal adopts an integrative and transdisciplinary perspective, welcoming scholarly works that employ systematic cycles of planning, action, observation, and reflection to address real-world challenges and generate measurable improvements in diverse professional and community contexts. JRTI is committed to bridging theory and practice by disseminating actionable knowledge that contributes to institutional development, community empowerment, policy implementation, technological innovation, and sustainable social transformation at local, national, and international levels. The journal embraces contributions from a wide range of scientific clusters, including education and human development; social sciences and humanities; psychology and mental health; public health and well-being; science, technology, engineering, and applied innovation; environmental and sustainability studies; governance, public administration, and policy reform; economic development and entrepreneurship; agriculture and rural advancement; disaster mitigation and resilience; as well as creative and cultural industries. JRTI particularly values studies conducted in authentic field settings such as schools, universities, government institutions, non-governmental organizations, community groups, healthcare facilities, industries, and multi-sector collaborative networks. JRTI welcomes various forms of action-oriented inquiry, including classroom action research, participatory and collaborative action research, community-based interventions, practitioner-led research, institutional improvement projects, organizational development initiatives, and multi-sector transformative programs. Submissions are expected not only to report contextual findings but also to present methodological refinement, innovative intervention models, best-practice frameworks, or scalable solutions that can be adapted and replicated across regions. Through interdisciplinary dialogue and cross-institutional collaboration, JRTI aims to strengthen Indonesia’s capacity for evidence-based decision-making, enhance professional practice across disciplines, and contribute to sustainable development aligned with national priorities and global development goals.
Articles
332 Documents
Developing a terminology agreement in vocational education research: content validation of standard keyword indexes
Alzet Rama;
Nizwardi Jalinus;
Muhammad Anwar;
Ifdil Ifdil;
Wiki Lofandri
JRTI (Jurnal Riset Tindakan Indonesia) Vol. 11 No. 1 (2026): JRTI (Jurnal Riset Tindakan Indonesia)
Publisher : IICET (Indonesian Institute for Counseling, Education and Therapy)
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DOI: 10.29210/30036814000
The study conducted an expert-based content validation to develop and validate a standardized keyword index for vocational education research. A lack of standard terminology in vocational education leads to problems in literature discovery, conducting systematic reviews, and international collaboration. Five content experts (three professors and two doctorate holders) with a minimum of 10 years of experience in vocational education using purposive sampling strategy, evaluated 79 keywords that were extracted from a systematic literature review of recent publications (2014-2025). The experts assessed each keyword for relevance on a 4-point Likert scale. The study used the Content Validity Index (CVI) method for the data analysis at both the item level (I-CVI) and the scale level (S-CVI). The result showed that the content validity was outstanding with the S-CVI/Ave of 0.916 which was higher than the recommended limit of 0.90. The 79 keywords were able to achieve I-CVI scores of at least 0.80, with 46 of the keywords (58.2%) getting perfect agreement (I-CVI = 1.00) and 33 of the keywords (41.8%) I-CVI = 0.80. The validated keywords were categorized into eight thematic categories: Core VET Systems & Models, Pedagogical Approaches, Technical & Occupational Skills, 21st Century & Soft Skills, Industry 4.0 & Emerging Technologies, Policy Standards & Quality Assurance, Labor Market & Economic Development, and Sustainability & Contemporary Issues. This standardized index remedies the problem of terminological inconsistency in vocational education research and thus leads to more efficient literature retrieval, knowledge synthesis, and international research collaboration. The study offers a clear and repeatable framework for keyword standardization that can be used to guide future updates and changes in different educational contexts.
Optimizing edge computing with reinforcement learning for real-time iot applications
Peniarsih Peniarsih
JRTI (Jurnal Riset Tindakan Indonesia) Vol. 11 No. 1 (2026): JRTI (Jurnal Riset Tindakan Indonesia)
Publisher : IICET (Indonesian Institute for Counseling, Education and Therapy)
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DOI: 10.29210/30036820000
This research explores the integration of Reinforcement Learning (RL) with Edge Computing to optimize real-time Internet of Things (IoT) applications. The primary problem addressed is the challenge of latency and resource constraints in IoT systems, which hinder real-time decision-making. The objective of this study is to investigate how RL can enhance the performance of Edge Computing by optimizing resource allocation and improving real-time decision-making in IoT environments. A library research method was employed, focusing on secondary data from relevant books, journals, and previous studies related to Edge Computing, RL, and IoT systems. The findings reveal that Edge Computing significantly reduces latency by processing data closer to the source, while RL optimizes resource management and decision-making. However, challenges remain in terms of computational overhead and scalability, particularly in resource-constrained edge devices. The study concludes that the integration of RL and Edge Computing offers a promising solution to optimize real-time IoT applications, but further research is needed to address scalability, security, and energy efficiency for practical implementation. This combination has the potential to revolutionize IoT systems, making them smarter, faster, and more efficient in handling complex, real-time tasks.