Optimizing Detection and Stunting Prevention through SiD1A Application in Kecapi Village Joko Minardi (a*), Hamidaturrohmah (b), Yayan Adi Saputro (c), Fariza Yulia Kartikasari (d), Noor Azizah (e), Santi Andriyani (f)
a) Faculty of Science and Technology, Universitas Islam Nahdlatul Ulama Jepara
Jalan Taman Siswa Pekeng Tahunan Jepara 59451, Indonesia
*joxmin[at]unisnu.ac.id
b) Faculty of Tarbiyah and Teacher Science, Universitas Islam Nahdlatul Ulama Jepara
Jalan Taman Siswa Pekeng Tahunan Jepara 59451, Indonesia
c) Faculty of Science and Technology, Universitas Islam Nahdlatul Ulama Jepara
Jalan Taman Siswa Pekeng Tahunan Jepara 59451, Indonesia
d) Faculty of Health Sciences, Universitas Muhammadiyah Kudus
Jl. Ganesha Raya No.I, Purwosari Kudus 59316, Indonesia
e) Faculty of Science and Technology, Universitas Islam Nahdlatul Ulama Jepara
Jalan Taman Siswa Pekeng Tahunan Jepara 59451, Indonesia
f) Faculty of Tarbiyah and Teacher Science, Universitas Islam Nahdlatul Ulama Jepara
Jalan Taman Siswa Pekeng Tahunan Jepara 59451, Indonesia
Abstract
Stunting is still a significant problem in Kecapi Jepara Village with high rates. The main causative factors include unbalanced nutritional intake, low birth weight, low maternal education, and suboptimal stunting prevention services. To overcome this problem, technology-based innovations such as the Stunting Detection Application (SiD1A) are applied to improve the competence of PKK and PKD partners in early detection of stunting prevention. This study aims to analyze the application of the sid1a application in supporting stunting prevention efforts in the village. This research method is descriptive quantitative with a survey approach to obtain factual data in the field. Data were collected through a 1-4 Likert scale questionnaire filled out by respondents, namely PKK and PKD partners in Kecapi village. Data analysis used the Miles & Huberman technique, including data reduction, data presentation, and conclusion drawing. The findings of this study indicate that the application of the SiD1A application has benefits and positive contributions to the competence of PKK and PKD partners in conducting stunting detection and prevention which includes technical skills with a percentage of 84% strongly agreeing and 16% agreeing. While conceptual skills with a percentage of 82% strongly agree and 18% agree. While the human skill aspect with an average percentage of 85% strongly agree and 15% agree. These results show improvements in technology utilization, data management, and partner motivation in managing the handling and prevention of stunting. This research shows the importance of technology integration in public health programs to support stunting prevention efforts
