Article Per Year (5 Year)
p-Index From 2021 - 2026
0.751
P-Index
This Author published in this journals
All Journal Mamangan Social Science Journal Lingua Technica: Journal of Digital Literary Studies Lingua Technica: Journal of Digital Literary Studies
Inero Valbuena Ancho
University of the Philippines Los Baños
Arts Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Regional Vulnerability-Based Disaster Education Strategy: Disaster Mitigation Efforts in Demak Regency, Indonesia Nur Hamid; Inero Valbuena Ancho; Hanifah Mahat; Dina Ruslanjari; Haning Rofi'ah
Jurnal Mamangan Vol 15, No 1 (2026): Jurnal Ilmu Sosial Mamangan Accredited 2 (SK Dirjen Ristek Dikti No. 0173/C3/DT
Publisher : LPPM Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/mamangan.v15i1.10881

Abstract

Disaster mitigation efforts in Indonesia often emphasize structural approaches, while disaster education strategies are frequently implemented without adequate consideration of regional vulnerability variations. This study addresses the problem of the mismatch between disaster education implementation and local vulnerability characteristics in Demak Regency. The study aims to formulate a disaster education strategy based on regional vulnerability data to strengthen community resilience. The analysis focuses on differences in vulnerability levels among sub-districts, the suitability of existing disaster education programs particularly the Satuan Pendidikan Aman Bencana (SPAB) and the mitigation efforts undertaken by the local government. Based on disaster risk reduction theory, community-based disaster education concepts, policy document analysis, and local catastrophe reports, this study uses a descriptive qualitative and quantitative approach, utilizing Z-score analysis to evaluate vulnerability levels across 14 sub-districts. The results show that Karangawen and Mranggen sub-districts are categorized as highly risky locations; however, these spatial risk disparities have not been adequately represented in the implementation of disaster education programs. Additionally, mitigation initiatives are still mostly structural in nature and do not incorporate area-based teaching methods. According to the study's findings, disaster education in Demak Regency has to be more closely matched to the vulnerability profiles of the area. As a novelty, this research demonstrates the importance of integrating quantitative vulnerability data into disaster education planning and practice, offering an evidence-based framework for developing adaptive and sustainable disaster education strategies at the local level.
Community Participation-Based Disaster Education Model: An Empirical Analysis of Disaster Hazards in Demak Regency, Indonesia Nur Hamid; Inero Valbuena Ancho; Hanifah Mahat; Dina Ruslanjari; Juhadi Juhadi
Jurnal Mamangan Vol 14, No 2 (2025): Jurnal Ilmu Sosial Mamangan Accredited 2 (SK Dirjen Ristek Dikti No. 0173/C3/DT
Publisher : LPPM Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/mamangan.v14i2.10046

Abstract

This study addresses the issue of disaster vulnerability in Demak Regency, an area highly exposedto tidal flooding, coastal erosion, and extreme weather. The objective of the research is toformulate a community participation-based disaster education model that strengthenspreparedness and resilience at the local level. Theoretically, the study draws on disaster riskreduction frameworks emphasizing community empowerment, participatory education, andintegration of local wisdom. A mixed-methods approach was employed, combining quantitativeZ-score analysis of disaster data from 2020–2022 with qualitative thematic analysis using NVivoto assess literature, policy documents, and community practices. The results reveal that disasterhazards in Demak are spatially varied: Sayung District is categorized as high-hazard, Guntur asmedium, while twelve other sub-districts fall into the low category. These findings highlight thenecessity of contextualized disaster education tailored to specific local hazards. The proposedmodel integrates schools, communities, and cultural traditions to enhance disaster literacy, fostersocial cohesion, and improve adaptive capacity. The conclusion emphasizes that a participatory,location-specific education framework is more effective than uniform approaches and can bereplicated in other disaster-prone regions. The novelty of this study lies in combining empiricalhazard mapping with community participation principles to design a disaster education modelthat is both data-driven and socially embedded, thereby bridging gaps between statistical riskassessment and local educational practice.
The Algorithmic muse reconsidered: creativity, constraint, and the politics of machine co-authorship Inero Valbuena Ancho; Ahmad Dafa Asyaddad
Lingua Technica: Journal of Digital Literary Studies Vol. 2 No. 2 (2026): Meta-literature: between authorship and machine-mediated literary creativity
Publisher : Asosiasi Relawan dan Pengelola Jurnal LPTNU (ARJUNU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64595/2h40cg81

Abstract

Background: Generative artificial intelligence has transformed literary production across publishing, education, cultural industries, and digital platforms while intensifying disputes over creativity, attribution, ownership, accountability, and platform power. Objective: This study examines how creative agency, constraint regimes, and authorship governance are configured across contemporary machine co-authorship discourse and what these configurations reveal about institutional legitimacy. Method: Using qualitative comparative documentary analysis, this study coded forty publicly accessible records comprising thirteen primary documents, seventeen secondary sources, and ten contextual materials published or current between 2021 and 2026 through explicit decision rules and evidence notes. Results: Creative agency was most frequently represented as an integrated human–machine–platform chain combining initiation, prompting, generation, revision, and mediation. Institutional constraints dominated the corpus, while aesthetic, technical, legal, economic, and data-related conditions operated as enabling, limiting, or simultaneously ambivalent forces. Human accountability and platform power were substantially more prevalent than contractual output ownership, indicating that creative participation, legal authorship, and institutional control remain unevenly distributed. Implication: Legitimate machine co-authorship requires transparent contribution, proportionate attribution, human editorial responsibility, accountable training practices, and governance capable of protecting creative diversity. Novelty: This study contributes an integrated framework that connects distributed agency, creativity-under-constraint, and authorship politics within a single document-level analytical architecture.
The Algorithmic muse reconsidered: creativity, constraint, and the politics of machine co-authorship Inero Valbuena Ancho; Ahmad Dafa Asyaddad
Lingua Technica: Journal of Digital Literary Studies Vol. 2 No. 2 (2026): Meta-literature: between authorship and machine-mediated literary creativity
Publisher : Asosiasi Relawan dan Pengelola Jurnal LPTNU (ARJUNU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64595/2h40cg81

Abstract

Background: Generative artificial intelligence has transformed literary production across publishing, education, cultural industries, and digital platforms while intensifying disputes over creativity, attribution, ownership, accountability, and platform power. Objective: This study examines how creative agency, constraint regimes, and authorship governance are configured across contemporary machine co-authorship discourse and what these configurations reveal about institutional legitimacy. Method: Using qualitative comparative documentary analysis, this study coded forty publicly accessible records comprising thirteen primary documents, seventeen secondary sources, and ten contextual materials published or current between 2021 and 2026 through explicit decision rules and evidence notes. Results: Creative agency was most frequently represented as an integrated human–machine–platform chain combining initiation, prompting, generation, revision, and mediation. Institutional constraints dominated the corpus, while aesthetic, technical, legal, economic, and data-related conditions operated as enabling, limiting, or simultaneously ambivalent forces. Human accountability and platform power were substantially more prevalent than contractual output ownership, indicating that creative participation, legal authorship, and institutional control remain unevenly distributed. Implication: Legitimate machine co-authorship requires transparent contribution, proportionate attribution, human editorial responsibility, accountable training practices, and governance capable of protecting creative diversity. Novelty: This study contributes an integrated framework that connects distributed agency, creativity-under-constraint, and authorship politics within a single document-level analytical architecture.
Co-Authors Ahmad Dafa Asyaddad Dina Ruslanjari Hanifah Mahat Haning Rofi'ah Juhadi Juhadi Nur Hamid