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All Journal Journal of Humanities and Social Studies Jendela Pendidikan Devotion: Journal of Research and Community Service Jurnal Pendidikan Indonesia (Japendi) Mutiara: Multidiciplinary Scientifict Journal Al Makki Health Informatics Journal Advances In Social Humanities Research Insight : International Journal of social research Asian Journal of Social and Humanities Islamic Journal of Communication and Public Discourse
Fransisca, Vika
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Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Public Health Social Sciences Veterinary Other

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Improved Speaking Skills In English Language Learning In Elementary Schools Fransisca, Vika
Jurnal Pendidikan Indonesia Vol. 4 No. 12 (2023): Jurnal Pendidikan Indonesia (Japendi)
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/japendi.v4i12.2585

Abstract

English is an important international language used in various areas of life. Therefore, improving the ability to speak English at the elementary school level is a must to face increasingly complex global challenges. Learning English in elementary school is not just about understanding grammatical structures and vocabulary, but also developing effective speaking skills. This study aimed to determine the improvement of speaking skills in English language learning in elementary schools. This research uses a qualitative approach with data collection tools in the form of literature studies. The conclusion is that learners' rejection of the teaching and learning process should be viewed as a "neutral" attitude, which is not related to good and bad values. The positive affective strategy is represented by four behaviors: laughter to show pleasure or satisfaction, smiling to show satisfaction, and showing pleasure because funny things are fun.
Analysis of Risk Factors and Prevention of Stunting In Early Childhood In Rural Areas Fransisca, Vika; Astuti, Aurelia Widya
Al Makki Health Informatics Journal Vol. 2 No. 5 (2024): Al Makki Health Informatics Journal
Publisher : Al Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/hij.v2i5.41

Abstract

Stunting remains a significant public health concern, particularly in rural areas where socio-economic and environmental factors exacerbate the problem. This study aims to analyze the risk factors contributing to stunting in early childhood and propose effective prevention strategies tailored to rural contexts. Utilizing a descriptive-analytic approach with a cross-sectional design, data were collected from 300 households through structured questionnaires, in-depth interviews, and direct observations. Logistic regression analysis identified maternal education, household income, dietary diversity, and sanitation access as critical determinants of stunting. Qualitative data highlighted economic pressures and limited nutritional knowledge as additional barriers. The findings emphasize the importance of integrated, community-driven interventions focusing on maternal education, exclusive breastfeeding, and improved sanitation. This research contributes to the existing literature by providing a comprehensive framework for addressing stunting in rural areas and offers actionable recommendations for policymakers and community stakeholders. Future studies should explore the long-term impact of these interventions and the role of cultural dynamics in sustaining their effectiveness.
Development of Hierarchical Bayesian Statistical Model For Prediction of Multidimensional Poverty Patterns: Application of Spatial-Temporal Analysis to Disadvantaged Village Data in Eastern Indonesia Fransisca, Vika; Saputro, Wahyu Eko
Advances In Social Humanities Research Vol. 4 No. 1 (2026): Advances In Social Humanities Research
Publisher : Sahabat Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/adv.v4i1.550

Abstract

Multidimensional poverty in Eastern Indonesia is still a serious problem that is not only influenced by economic factors, but also by educational, health, infrastructure, and complex spatial conditions. Disadvantaged villages in the region face high development inequality, while the approaches to poverty measurement and prediction used so far are still conventional and less adaptive to spatial and temporal variations. This study aims to develop a Hierarchical Bayesian statistical model based on spatial-temporal analysis to predict multidimensional poverty patterns more accurately and contextually. The method used was a quantitative approach with spatial-temporal hierarchical Bayesian modeling, using multivariate panel data from 450 disadvantaged villages in East Nusa Tenggara, Maluku, and West Papua during the period 2015–2022. The model was analyzed using Markov Chain Monte Carlo (MCMC) and Integrated Nested Laplace Approximation (INLA) techniques for parameter estimation and risk prediction. The results show that the model is able to map poverty risk clusters spatially with high accuracy and capture significant temporal dynamics, especially during the pandemic. The largest contribution comes from indicators of sanitation and access to clean water. This model generates predictive risk and trend maps that can be used to support microdata-based development policies, as well as strengthen the accuracy of interventions in high-risk villages more effectively.
Co-Authors Astuti, Aurelia Widya Kholipah, Siti Ainul Meilinda, Vivi Wahyu Eko Saputro, Wahyu Eko Widia Ningsih, Widia