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All Journal Proceeding Of International Conference On Education, Society And Humanity Jurnal Penelitian IPTEKS
Fardian, M. Iqbal
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Religion Agriculture, Biological Sciences & Forestry Humanities Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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INSTITUTIONALISED INDIGENOUS KNOWLEDGE AS A FOUNDATIONAL ELEMENT OF RURAL-BASED SUSTAINABLE DEVELOPMENT GOAL IN OLEHSARI VILLAGE BANYUWANGI Hidayati, Emi; Septalinda, Ficky; Fardian, M. Iqbal
PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY Vol 2, No 2 (2024): Third International Conference on Education, Society and Humanity
Publisher : PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY

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Abstract

This study research aims to uncover how the Osing people's indigenous knowledge can contribute to preserving water resources in Olehsari Village, Glagah Sub-district, Banyuwangi. Indigenous knowledge encompasses various cultural, ecological, and epistemological frameworks essential for understanding and addressing today's concerns, particularly sustainable development goals. It is increasingly acknowledged that advancing social justice, cultural identity, and sustainability requires integrating Indigenous knowledge into various fields.   It is widely accepted that incorporating Indigenous knowledge into a broad spectrum of fields is critical to fostering social justice, cultural identity, and sustainability. Efforts to commercialize community-owned resources, notably water resources, pose a significant danger to Kemiren Banyuwangi Village's Indigenous Knowledge, a critical pillar for natural resource preservation for decades.   The village government's commercialization initiatives through Bumdes will undoubtedly alter the community's Indigenous knowledge, which has been demonstrated to be a critical pillar for the long-term sustainability of water supplies and village residents' lifestyles. This study used descriptive qualitative methodologies, with data collected through documentation, in-depth interviews, and observation. According to the study's findings, indigenous knowledge in sustainable village development has increased dramatically to improve community well-being and environmental sustainability, which face considerable problems. When Indigenous knowledge is compromised, water resources, farming, and the community as a whole are threatened. Sustainable agricultural practices will fail due to a growth-based development paradigm that disregards Indigenous Knowledge, particularly in meeting the United Nations' Sustainable Development Goals (SDGs). Incorporating indigenous and local knowledge into farming systems is a critical strategy for achieving SDG2, which is intended to eradicate hunger and enhance sustainable agriculture.
Integrating Community-Based AI with Local Knowledge for Sustainable Water Governance: A Case from the Osing People Hidayati, Emi; Septalinda, Ficky; Fardian, M. Iqbal; Zidniyati, Zidniyati
Jurnal Penelitian IPTEKS Vol. 10 No. 2 (2025): JURNAL PENELITIAN IPTEKS
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/penelitianipteks.v10i2.4064

Abstract

Water scarcity is an escalating concern, especially in rural and indigenous regions where ecological vulnerability intersects with institutional weakness. This study investigates how Artificial Intelligence (AI) can be integrated with the Sustainable Livelihoods Approach (SLA) to enhance water governance among the Osing indigenous people in Banyuwangi, East Java. Using a mixed-method, multi-site design—including interviews, focus groups, and participatory observations—the research explores how local knowledge, social capital, and institutional structures shape community responses to AI-based interventions. Findings show that while AI offers predictive potential, its success hinges on epistemic justice and cultural contextualization. Villages with strong social and financial assets, such as Olehsari, exhibit greater readiness for AI integration, whereas others face barriers including low digital literacy, weak infrastructure, and limited trust. A hybrid model of community-based AI is proposed, combining algorithmic tools with indigenous ecological indicators and participatory design processes. The study contributes to the growing discourse on inclusive technology by demonstrating that sustainable water governance requires co-produced knowledge systems, where local and scientific epistemologies interact symmetrically. The integration of AI and SLA offers a replicable framework to address water challenges in indigenous communities without marginalizing their knowledge and identity.
Co-Authors Hidayati, Emi Septalinda, Ficky Zidniyati, Zidniyati