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All Journal Didaktik : Jurnal Ilmiah PGSD STKIP Subang UNP Journal of Statistics and Data Science
Asyifa Dwi Ayshah
Universitas Negeri Padang
Computer Science & IT Decision Sciences, Operations Research & Management Education Mathematics Social Sciences

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Upaya Peningkatan Pemahaman Masyarakat melalui Edukasi 1000 Hari Pertama Kehidupan dalam pencegahan Stunting di Nagari Latang, Kec. Lubuk Tarok Kab. Sijunjung Tiva Julian Sagita; Asyifa Dwi Ayshah; Amelia Sepyla Desti; Aji Guncoro; Bhariq Novrada; Dori Yuvenda
Didaktik : Jurnal Ilmiah PGSD STKIP Subang Vol. 11 No. 04 (2025): Volume 10 No. 04 Desember 2025 In Progress
Publisher : STKIP Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36989/didaktik.v11i04.9580

Abstract

Stunting is a chronic nutritional problem that seriously impacts child growth and development and the quality of future human resources. Stunting prevention needs to be implemented early, particularly during the First 1,000 Days of Life (HPK), the golden period for child growth and development. This study aims to evaluate the effectiveness of education about the First 1,000 Days of Life (HPK) in increasing public understanding and awareness regarding the importance of early stunting prevention. The study was conducted on July 10, 2025, at the Pelita Nagari Latang Early Childhood Education Center (PAUD) in Lubuk Tarok District, Sijunjung Regency, involving pregnant women, breastfeeding mothers, and mothers of toddlers. The research method used a descriptive quantitative approach through education, observation, and questionnaires before and after the activity. The results showed an increase in participants' understanding and awareness of the causes, impacts, and practical steps for stunting prevention, including the importance of exclusive breastfeeding, balanced nutrition, appropriate parenting, and utilization of health services. It can be concluded that education about the First 1,000 Days of Life (HPK) is effective in increasing public understanding and awareness of the importance of early stunting prevention
Logit and Complementary Log-Log Modeling in the Case of Factors Affecting Heart Failure Disease IGA MAWARNI; Asyifa Dwi Ayshah; Dhiyaa Fitri Yafe; Fadhilah Fitri
UNP Journal of Statistics and Data Science Vol. 3 No. 4 (2025): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol3-iss4/421

Abstract

Heart failure is one of the leading causes of morbidity and mortality globally. Heart disease is a disease caused by plaque that builds up in the coronary arteries that supply oxygen to the heart muscle. Research on heart failure disease aims to find out what factors affect heart failure disease and how much influence it has. This test was conducted using logistic regression method with logit modeling and complementary log-log modeling in analyzing data of 918 patients with heart failure disease. This study also takes which modeling is the best. The results of this analysis indicate that Age, Gender, Blood Sugar, and Chest Pain have significant effects on the likelihood of Heart Failure. Specifically, higher blood sugar levels and the presence of chest pain were found to increase the probability of heart failure, while gender and age showed varying effects across different age groups. Based on the model comparison, the Logit model demonstrated better fit and predictive accuracy than the Complementary Log-Log model, as reflected by its lower AIC value 897.43.
Co-Authors Aji Guncoro Amelia Sepyla Desti Bhariq Novrada Dhiyaa Fitri Yafe Dori Yuvenda Fadhilah Fitri Iga Mawarni Tiva Julian Sagita