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Journal : Generation Journal

Stunting Data Warehouse Modeling for Dashboards at the P2KBP3A Office Tohir, Arik Sofan; Suryono, Suryono; Susiloningtyas, Luluk; Cahyono, Aris Dwi; Zeho, Fannidya Hamdani
Generation Journal Vol 9 No 2 (2025): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v9i2.25644

Abstract

The P2KBP3A Office of Kediri Regency is one of the agencies that handles stunting issues. To collect data on children under two years of age (baduta) in each village, this agency is assisted by cadres in each region. The data that has been collected certainly needs to be processed in order to produce information that is useful for decision makers in determining policies. Processing large amounts of data requires data warehouse technology as one of the solutions. In designing this data warehouse, the Nine Step Kimball method with the Star Schema diagram model was used. With this data warehouse, information on the number of stunting cases in each area can be obtained, starting from the sub-district level, village, to hamlet. Additionally, data can also be viewed based on the target and the status of that target, whether it is normal, stunted, wasted, stunted and wasted, or pre-stunted
Use of API in Data Warehouse Integration for One Data Stunting Presentation Tohir, Arik Sofan; Wiseno, Bambang; Zulvana, Zulvana
Generation Journal Vol 10 No 1 (2026): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v10i1.27602

Abstract

The Office of Population Control, Family Planning, Empowerment of Women and Child Protection (DP2KBP3A) of Kediri Regency is one of the key government agencies responsible for stunting management. To monitor the current status of stunting in the region, DP2KBP3A utilizes the 'Aksipenting' application (Stunting Monitoring Integration Application), a platform designed for stunting data entry across Kediri Regency. Beyond stunting monitoring, Aksipenting is also employed to track the health conditions of prospective brides, pregnant women, and postpartum mothers. The system processes data across three hierarchical levels: the cadre level, the district level, and the regency level. While DP2KBP3A manages comprehensive stunting data through this application, data integration across Regional Government Agencies (OPD) continues to face challenges regarding standarization and interoperability. This study aims to design and implement a Data Warehouse-based Application Programming Interface (API) to support the 'One Data Stunting' policy across various agencies. The system development follows a Research and Development (R&D) approach using the Rapid Application Development (RAD) method to produce a reliable, standarized, and accessible data integration solution as a foundation for decision-making in accelerating stunting reduction