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All Journal INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Generation Journal Indonesian Health Literacy Journal (IHLJ)

Arik Sofan Tohir

Universitas Amikom Yogyakarta

Author-ID : 2634293

Computer Science & IT Decision Sciences, Operations Research & Management Education Health Professions Medicine & Pharmacology Nursing Public Health

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Articles

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

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

PEMBERDAYAAN SDMK PADA PENERAPAN APLIKASI PEMODELAN DATA WAREHOUSE STUNTING DI KABUPATEN KEDIRI TAHUN 2025 Aris Dwi C.; Luluk S.; Arik Sofan T.
Indonesian Health Literacy Journal Vol. 2 No. 3 (2025): Volume 2 Number 3 2025
Publisher : Suluh Adiluhung Publisher (SAPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70574/q12jvh05

Empowering SDMK is crucial, as it maximizes the use of technology. SDMK with adequate skills and knowledge can effectively operate health data applications, enabling optimal utilization of all features and functions. This ensures data accuracy and sustainability, with SDMK responsible for accurately entering, verifying, and maintaining data. Therefore, the System Requirement System for designing a web-based data warehouse is intended to provide an overview of the application design that will be developed to support decision-making or policies related to handling stunting in the Population Control, Family Planning, Women's Empowerment and Child Protection Service (DP2KB3A) of Kediri Regency. The focus of the Stunting Data Management Information System is the governance of the implementation of recording and reporting of stunting data in Kediri Regency, designing an information system that manages administrative data and health examination results so that optimal data recording can be presented in public health services in Kediri Regency. Empowerment of Human Resources and Family Planning (SDMK) in the Implementation of Stunting Data Warehouse Modeling Application in Kediri Regency with the hope that stunting cases in Kediri Regency can be resolved or reduced as well as a more integrated, fast, and accurate reporting system by utilizing digital technology.

Pemodelan Sistem Data Terdistribusi Untuk Mengintegrasikan Data Akademik Dan Keuangan Tohir, Arik Sofan
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 1 No 1 (2017): Vol. 1 No. 1 Februari 2017
Publisher : Universitas Nusantara PGRI Kediri

Data is something that is very important specifically for the needs of a company or organization, which from the data can produce a useful information for the company or organization as a material for development as well as for data analysis as the basis for decision-making. With the development of the world of digital technology is growing nowadays, the data originally stored in paper form can now be stored in digital form by utilizing database engine. If a company or organization already has data scattered in several separate places or developed with several different types of software platforms. Of course, a technique is required to integrate data from several different places and use different types of software platforms. With the existence of this data integration it is possible to combine separate data in multiple places and use several different types of software platforms.

Implementasi Pengembangan Sistem Model Water Fall Untuk Data Warehouse Akademik Sofan Tohir, Arik Sofan Tohir; Kusrini, Kusrini; Sudarmawan, Sudarmawan
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 1 No 2 (2017): Vol. 1 No. 2 Agustus 2017
Publisher : Universitas Nusantara PGRI Kediri

Data warehouse is a concept and a technology to store transactional data from several sources that have been through the process of filtering and selection of data. By using the Ectract, Transform and Load (ETL) process in the data warehouse, OLTP data is processed to produce good data and ready for use for the analysis process. For the design of this warehouse data will be built by using the Nine Step Method from Kimbal, so that the resulting warhouse data can be as expected. For the development of life flow system (SDLC) with waterfall model. By using the wate fall model will be built a prototype to implement the data warehouse design results.

Co-Authors Aris Dwi C. Aris Dwi Cahyono, Aris Dwi Kusrini Kusrini Kusrini, Kusrini Luluk S. Sudarmawan, Sudarmawan Suryono Suryono Susiloningtyas, Luluk Zeho, Fannidya Hamdani

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