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All Journal Data Science: Journal of Computing and Applied Informatics Jurnal Begawan Hukum
Andy Satria
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Computer Science & IT Law, Crime, Criminology & Criminal Justice

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Spatial Clustering Analysis of Stunting in North Sumatra Based on Environmental Factors Using K-Means Algorithm Fanny Ramadhani; Dian Septiana; Sisti Nadia Amalia; Putri Maulidina Fadilah; Andy Satria
Data Science: Journal of Computing and Applied Informatics Vol. 9 No. 2 (2025): Data Science: Journal of Computing and Applied Informatics (JoCAI)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jocai.v9.i2-17179

Abstract

This research aims to analyze the spatial grouping of stunting events in North Sumatra based on environmental factors using the K-Means algorithm. The data used in this research includes the incidence of stunting, environmental factors (such as access to health services, living environment conditions, water use and sanitation), and spatial data (geographical coordinates). The data comes from Basic Health Research (RISKESDAS 2018, then processed and normalized. The elbow method and silhouette analysis are used to determine the optimal number of clusters, resulting in four different clusters. The application of the K-Means algorithm produces the following cluster characteristics: Cluster 1, with good environmental conditions and access to health services, shows low levels of stunting; Cluster 2, with moderate environmental conditions, shows moderate levels of stunting; Cluster 3, which is characterized by poor living conditions and limited access to health services, has levels high stunting; and Cluster 4, with varied environmental conditions but very limited access to health and sanitation services, also shows a high stunting rate. Validation using the Silhouette Coefficient produces an average score of 0.65 which indicates good clustering quality shows that environmental factors, access to health services, and sanitation conditions have a significant impact on the incidence of stunting. Based on these findings, policy and intervention recommendations are focused on Clusters 3 and 4, which have high stunting rates. The interventions carried out include increasing access and quality of nutrition, health services, sanitation conditions, economic empowerment, and health education.
Perlindungan Hukum Bagi Pengguna Fintech Pinjaman Online Andy Satria; Aryan C.Waruwu; John K.Tambunan; Elman S.Nduru
Jurnal Begawan Hukum (JBH) Vol. 2 No. 1 (2024): Jurnal Begawan Hukum (JBH)
Publisher : Lembaga Pengabdian Masyarakat Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/jbh.v2i1.100

Abstract

This research investigates legal aspects related to protection for fintech users in the context of online lending in Indonesia. The background includes the rapid development of the fintech industry and the increasing use of online lending, which has created a need to evaluate the effectiveness of existing legal protections. This research uses a combination approach of regulatory analysis, case studies, and interviews with relevant stakeholders. The literature review involves the concept of fintech, related regulations, and legal protection challenges that users face. Research methods include in-depth analysis of applicable regulations, case studies of user experiences, and interviews with representatives of financial institutions and supervisory authorities. The results of this research provide a better understanding of the rights and obligations of fintech users in the online lending environment. Key challenges include legal uncertainty and unethical practices by some service providers. The research also suggests steps for improvement, including increased regulation, increased transparency, and user education. Thus, this research provides a comprehensive view of legal protection for online lending fintech users in Indonesia and provides a foundation for further improvements in industry regulations and practices.
Co-Authors Aryan C.Waruwu Dian Septiana Elman S.Nduru John K.Tambunan Putri Maulidina Fadilah Ramadhani, Fanny Sisti Nadia Amalia