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All Journal International Journal of Artificial Intelligence Research Mimbar Administrasi
Hendayana Hendayana
Institut Pemerintahan Dalam Negeri
Computer Science & IT Electrical & Electronics Engineering Environmental Science Social Sciences Other

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Minahasa Utara Menuju Bebas Stunting Hendayana Hendayana
MIMBAR ADMINISTRASI FISIP UNTAG Semarang Vol. 20 No. 2 (2023): Oktober : Jurnal MIMBAR ADMINISTRASI
Publisher : Universitas 17 Agustus 1945

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56444/mia.v20i2.1144

Abstract

One of the development frameworks for North Minahasa to be more advanced is that the government continues to improve and improve programs on stunting prevention in North Minahasa Regency, because in the last 5 years the stunting prevalence rate in North Minahasa is quite high, even in 2018 North Minahasa Regency became a district. with the highest stunting rate in North Sulawesi reaching 35.44%. Therefore, the authors are interested in conducting research with the title " NORTH MINAHASA TOWARDS STUNTING FREE ". This study aims to find out how or what efforts are made by the North Minahasa Regency Government specifically at the Health Office regarding the stunting prevention and prevention process in order to realize stunting-free North Minahasa 2022, as well as what factors are the obstacles in this stunting prevention process. This study uses a qualitative descriptive research method with an inductive approach. Data collection techniques used are through interviews, observation and documentation. The data analysis technique used is data reduction, data presentation and then drawing conclusions. Based on the analysis conducted by the researchers, the stunting management process in North Minahasa Regency so far has been going well. All of this cannot be separated from the important role of the Regent of North Minahasa, Mr. Joune J.E Ganda, who always supports and provides input as well as programs in the handling of stunting in North Minahasa in order to realize a stunting-free North Minahasa in 2022.
Detection of Data Duplication and Anomalies in the Population Registration System to Improve the Quality of Public Services Mayce Novitalia; Selvi Diana Meilinda; Imelda Hutasoit; Riswati Riswati; Hendayana Hendayana; Dwi Agus Sumarno
International Journal of Artificial Intelligence Research Vol 10, No 1 (2026)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v10i1.1722

Abstract

The consequences of data duplication and anomalies on the quality of public service in Indonesia's Civil Registration Information System (SIAK) are investigated in this study. The study analyses documented anomaly patterns and institutional reports to back up its qualitative descriptive methodology, which is based on semi structured interviews with fifteen civil registration officers from five different districts. Multiple identities, inconsistent demographic features, faulty NIK formats, duplicate geographic coordinates, unrecognised or inactive Population Identification Numbers (NIK), and duplicate addresses are among the most common data errors, according to the research. As an example, NIK entries with less than 16 digits or infants classified as married are examples of logical and format abnormalities, which constitute the majority of errors. Data update cycles that are too long, inadequate automated validation, poor inter agency synchronisation, and reliance on human data entry are the main causes of these difficulties. Not resolving these irregularities might result in failed verification, delayed social assistance delivery, and termination of BPJS Health membership, therefore their impact is substantial. According to the research, public service quality may be enhanced by moving away from reactive rectification and toward preventive data governance. This can be achieved through the use of artificial intelligence (AI) for validation, real time updates, stronger integration between agencies, increased officer capacity, and public knowledge of data updating.
Co-Authors Dwi Agus Sumarno Imelda Hutasoit Mayce Novitalia Riswati Riswati Selvi Diana Meilinda