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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Management and Digital Business
Nurjannah, Eka
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Data Mining Clustering Analysis of Child Growth and Development Using the K-Means Method Nurjannah, Eka; Nasution, Marnis; Muti’ah, Rahma
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 3 (2024): Research Artikel Volume 8 Issue 3, July 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.13817

Abstract

This research aims to group children based on their growth and development characteristics. This method helps identify groups of children with normal growth and development, early signs of growth and development problems, and serious growth and development problems. The stages used in this research follow the Knowledge Discovery in Database (KDD) process, which consists of data selection, data pre-processing, data transformation, data mining, and evaluation or interpretation of results. By applying the K-Means method, this research aims to provide a clearer and more detailed picture of the distribution of children's growth and development problems and assist in decision making for more appropriate interventions. The K-Means method in data mining was used to group 102 sample data into three clusters based on children's growth and development characteristics. The results of this analysis show that 38 samples fall into Cluster 1 (C1), 36 samples into Cluster 2 (C2), and 28 samples into Cluster 3 (C3). Evaluation of clustering results is carried out using Box Plot and Scatter Plot. Box Plot shows a clear distribution of data for each cluster, ensuring that the data grouping corresponds to statistical evaluation. Cluster C1 is toddlers with normal growth and development. Cluster C2 shows early signs of growth and development problems. Cluster C3 indicates serious growth and development problems
Analisis hubungan self esteem dengan impulsive buying pada mahasiswa Indrayani, Indrayani; Hardaningrum, Tri Wahyu; Nurjannah, Eka
Journal of Management and Digital Business Vol. 4 No. 1 (2024): Journal of Management and Digital Business
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53088/jmdb.v4i1.911

Abstract

The purpose of this study is to determine the effect of self-esteem on impulse buying behavior among students at Balikpapan University. Shopping has become an activity that involves psychological needs, lifestyle, and pleasure. Social, economic, and cultural elements influence consumer behavior, including in the context of impulsive shopping. This research highlights the connection between self-esteem and impulsive shopping behavior among university students at Balikpapan University by finding a significant negative connection between the two variables. Individuals with low self-esteem tend to be more prone to impulsive shopping behavior as compensation to improve their self-esteem. The results also show that individuals with high self-esteem tend to keep their shopping behavior under control. In the face of social and cultural pressures influencing consumer behavior, a comprehensive and collaborative approach is crucial to building effective marketing strategies and consumer interventions. With a deeper understanding of the psychological elements that influence consumer behavior, companies can develop more adaptive and relevant strategies to meet the needs and drive consumer preferences in this modern era.
Co-Authors Hardaningrum, Tri Wahyu INDRAYANI INDRAYANI Muti’ah, Rahma Nasution, Marnis