
UPAYA KONVERGENSI KEBIJAKAN PENCEGAHAN STUNTING DI KOTA PADANG
Author(s) -
Muḥammad Iqbāl,
Rahmadani Yusran
Publication year - 2021
Publication title -
jurnal manajemen dan ilmu administrasi publik
Language(s) - English
Resource type - Journals
eISSN - 2798-6101
pISSN - 2798-5539
DOI - 10.24036/jmiap.v3i2.245
Subject(s) - documentation , government (linguistics) , work (physics) , plan (archaeology) , data collection , process management , convergence (economics) , local government , development plan , control (management) , stage (stratigraphy) , qualitative research , operations management , business , task (project management) , computer science , engineering , public administration , economic growth , political science , geography , economics , civil engineering , mathematics , social science , philosophy , linguistics , archaeology , sociology , biology , paleontology , programming language , mechanical engineering , statistics , systems engineering , artificial intelligence
This research was conducted using a qualitative approach. This study aims to analyze efforts to implement convergence of stunting prevention policies in the city of Padang. The data collection methods used were interviews and documentation. The data source was obtained through data and information on all OPDs in Padang City. The results of this study indicate that efforts to implement convergence of stunting prevention policies in the city of Padang have not been implemented according to the convergence stage. This is because first, efforts at the planning stage have not been implemented optimally because there is no Regional Government Work Plan (RKPD) that has been made regarding stunting. Second, efforts at the implementation stage have not been carried out optimally because there is no task force in implementing stunting prevention actions. Third, efforts at the evaluation stage have not been implemented optimally because the evaluation has not been centralized and implemented based on the work program of each Regional Apparatus Organization (OPD).