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All Journal Jurnal Sistem Komputer dan Informatika (JSON) VISA: Journal of Vision and Ideas
Malid, Abdul
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences

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Etika Berkomunikasi di Era Digital: Eksplorasi Pola Interaksi dan Konten Berbahaya di Media Sosial Rilia, Cintana Aisyah; Malid, Abdul; Sari, Rika Puspita; Amiruddin, Amiruddin
VISA: Journal of Vision and Ideas Vol. 4 No. 3 (2024): VISA: Journal of Vision and Ideas
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/visa.v4i3.3481

Abstract

Social media platforms have developed into important instruments for social interaction, communication, and information gathering. Through a series of routine actions, ethics provides humans with experience of how other people live their lives. This research method uses clustering data mining. Ethics can help human behavior in making judgments and acting in accordance with their philosophy of life. When deciding what to understand and what to do, ethics is a very useful tool. Because ethics can be applied to every aspect of life, ethics can be categorized into several areas based on facets or aspects of human life. Relations between people will be positive and friendly if there is good communication ethics. Therefore, social media users should think about the implications of the material and comments they publish. Additionally, respect and empathy for other individuals is an important component of social media communication etiquette. If communication ethics are not understood, miscommunication will arise, giving rise to debates and conflicts that can damage social harmony.
Segmentation of Toddlers Based on Nutritional Status Using Agglomerative Hierarchical Clustering with Average Linkage Malid, Abdul; Sriani
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 3 (2026): Maret 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i3.9598

Abstract

Nutritional status among children under five remains an important public health concern, particularly in developing regions where early detection of growth problems is essential for effective intervention. Conventional nutritional assessments often rely on categorical classifications that may not fully capture variations in anthropometric characteristics among toddlers. This study aims to segment children under five based on nutritional status using the Agglomerative Hierarchical Clustering (AHC) algorithm with the Average Linkage method in the NA-IX-X District, North Labuhanbatu Regency. The study used secondary anthropometric data from 1,452 children obtained from the Aek Kota Batu Public Health Center. Quantitative variables, including body weight, height, and age, were standardized using z-score transformation prior to clustering analysis. The results show that a three-cluster configuration provides the optimal segmentation, with a Silhouette Coefficient value of 0.5154, indicating a moderate clustering structure. Cluster 1 (n = 180) shows relatively lower anthropometric measurements with an average body weight of 7.3 kg and height of 68.3 cm. Cluster 2 (n = 511) represents intermediate measurements with an average body weight of 11.5 kg and height of 87.8 cm, while Cluster 3 (n = 761) reflects higher measurements with an average body weight of 15.0 kg and height of 101.7 cm. Dendrogram analysis indicates that a cutting point at height = 1.5 produces the most interpretable cluster separation. These findings demonstrate that hierarchical clustering can support more targeted nutritional intervention strategies at the community health center level. 
Co-Authors Amiruddin Amiruddin Rika Puspita Sari Rilia, Cintana Aisyah Sriani