Article Per Year (5 Year)
p-Index From 2021 - 2026
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All Journal Millah: Journal of Religious Studies International Journal of Geography, Social, and Multicultural Education (IJGSME)
Nguyen, Ngoc Anh
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Religion Humanities Earth & Planetary Sciences Education Environmental Science Social Sciences

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Evaluation of Land Suitability for Main Crops in Bac Son District, Lang Son Province Using Machine Learning and Artificial Neural Network Models Chu, Van Trung; Nguyen, Thuy Linh; Nguyen, Ngoc Anh; Hoang, Huu Chien; Nguyen, Quang Thi; Pham, Van Tuan
International Journal of Geography, Social, and Multicultural Education Vol. 3 No. 1 (2025): 1 June 2025
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/ijgsme.v3n1.p26-40

Abstract

This study evaluates land suitability for Golden Tangerine and Paddy Rice cultivation in Bac Son District, Lang Son Province, using Random Forest (RF) and Artificial Neural Network (ANN) models. Environmental factors, such as elevation, slope, aspect, NDVI, distance to streams and roads, rainfall, soil type, soil depth, and soil texture, were used as input variables. The results show that both models effectively assessed land suitability, though their predictive performances differed by crop type. For Golden Tangerine, the ANN model predicted a higher mean suitability value (0.38313) and slightly better classification accuracy (0.7856) compared to the RF model (0.27367 and 0.7786, respectively). For Paddy Rice, the ANN model again estimated a larger suitable area (mean suitability: 0.38749), but the RF model outperformed the ANN in classification accuracy (0.6896 and 0.6663 respectively). Both models showed similar prediction variability, with only minor differences in standard deviations. These findings highlight the trade-off between the extent of suitable land identified by ANN and the higher classification accuracy achieved by RF, particularly for Paddy Rice. This study emphasizes the need to consider both spatial distribution and accuracy when selecting models for land suitability assessments. Further research should explore hybrid modeling approaches and integrate additional environmental and socioeconomic factors for more precise evaluations
Faith-Based Social Responsibility: Catholic Ethics and Community-Based Tourism in Ngu Hiep Islet, Dong Thap Province, Vietnam Chung , Khang Le; Nguyen, Ngoc Anh
Millah: Journal of Religious Studies Vol. 25, No. 1, February 2026
Publisher : Program Studi Ilmu Agama Islam Program Magister, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/millah.vol25.iss1.art4

Abstract

This article examines how Catholic ethical principles are transformed into faith-based social responsibility within the context of community-based tourism development in Ngu Hiep Islet, a distinctive ecological–cultural area in the Mekong Delta, Vietnam. The study employs the theoretical framework of Corporate Social Responsibility (CSR) alongside Catholic Social Teaching (CST) to elucidate the interconnections among faith, ethical conduct, and sustainable development. Qualitative data were collected through 20 in-depth interviews, participant observation, and analysis of secondary documents within the local Catholic community. The findings reveal that faith not only shapes spiritual life but also frames labor values, a service-oriented mindset, and environmental awareness. The parish operates as a moral–social institution that coordinates and supervises community behavior in accordance with the principle of “serving in love.” Building on these insights, the article proposes a Faith-Based CSR model as an alternative approach to conventional CSR, thereby offering a theoretical lens through which to understand the role of religion in promoting sustainable community-based tourism and fostering an ethical social order in rural Vietnam.
Co-Authors Chu, Van Trung Chung , Khang Le Hoang, Huu Chien Nguyen, Quang Thi Nguyen, Thuy Linh Pham, Van Tuan