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All Journal Inferensi International Journal of Ethno-Sciences and Education Research Journal of Mathematics, Computation and Statistics (JMATHCOS)
Zenklinov, Amanatullah Pandu
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Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Transportation Other

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Utilization of Flora in the School Environment as a Drawing Medium for Reading Children's Creativity Okta, Setyo Luthfi; Surya, Dhika; Zenklinov, Amanatullah Pandu
International Journal of Ethno-Sciences and Education Research Vol 5, No 1 (2025)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v5i1.842

Abstract

This study examines the use of flora in the school environment as an alternative media to develop children's creativity through drawing activities. Using qualitative methodology with a descriptive approach, the study involved 19 elementary school students in an experiment based on the exploration of natural elements. The research instruments included participatory observation, documentation of work, and structured interviews. The results showed a significant increase in the dimensions of creativity, with indicators: a 40% increase in the quality of geometric patterns, 40% in color exploration, and 40% in abstract composition. Student involvement reached 90% with a high level of enthusiasm in the creative process. The findings indicate that flora media can stimulate imaginative capacity, encourage artistic experimentation, and broaden students' creative perspectives in the context of continuing art education.
Stunting Risk Factor Analysis Using Seemingly Unrelated Regression (SUR) Integrated with Machine Learning Wiyanti, Wiwik; Zenklinov, Amanatullah Pandu; Seleki, Jacob Stevy; Ramadhani, Sausan; Jimy, Valensius; Arifin, Samsul
Journal of Mathematics, Computations and Statistics Vol. 8 No. 2 (2025): Volume 08 Nomor 02 (Oktober 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i2.9630

Abstract

Stunting is a disorder in children caused by chronic nutritional problems. Stunting is usually characterized by a child’s failure to grow and develop optimally. In Indonesia, the government is focusing on addressing of stunting case, as it aims to develop the superior of human resources. In Tangerang regency is currently holding a “Gebrak Tegas” program to address the problem of stunting. The causes of stunting required scientific study to help the government understand the scientific factors that causing stunting. Therefore, this study aims to analyze the factors causing stunting the children in the Tangerang regency. The data analysis method in this study use the Seemingly Unrelated Regression (SUR), which is integrated with a machine learning, namely Random Forest. The data used in this study were obtained from primary data through questionnaires. The subjects of this study were parents of stunting and non-stunting children who were at “Posyandu” under of “Kelapa dua” and “Binong” health centers. Sampling method in this study is purposive-random sampling. The results of the data analysis showed that the five variables from the factors measured had the most significant influence, namely nutritional, socio-economi, and pregnancy and childbirth history factors. Five variables that influence children stunting are animal protein, which has the highest probability of 87.5% when the children consumes protein once or twice a week. The children consume vitamin A twice has a 97% probability. The source of income for the parents, whether from the private or self-employment, has a probability of over 90%. Furthermore, the consumption of iron-boosting tablets by mother during pregnancy and the amount of income from the parents have a probability of 84%.
Intrusion Detection Systems (IDSs) using Multivariate Control Chart Hotelling’s T2 with Dimensional Reduction of Factorial Analysis of Mixed Data (FAMD) and Autoencoder Rifki, Kevin Agung Fernanda; Rosyadi, Niam; Zenklinov, Amanatullah Pandu; Suhermi, Novri
Inferensi Vol 7, No 1 (2024)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v7i1.18751

Abstract

Traditional multivariate control charts for network intrusion detection encounter significant challenges including false alarms due to non-conforming network data traffic distributions, limitations in identifying outlier intrusions caused by masking effects, and handling diverse data types. This paper introduces a T2-based multivariate control chart that leverages dimensional reduction techniques using Factor Analysis of Mixed Data (FAMD) and Autoencoder to address these issues. FAMD reduces data with both quantitative and qualitative variables, while Autoencoder focuses on dimensionality reduction for quantitative variables, enhancing multivariate control chart performance. The proposed chart, a modified T2, is compared to conventional T2 with dimensionality reduction through FAMD and Autoencoder. Results from simulating data using UNSW-NB 15 demonstrate T2's superior performance with dimensionality reduction compared to conventional T2. Under various conditions, conventional control chart T achieves 64% accuracy, T2 with FAMD achieves 74%, and T2 with Autoencoder reaches 76%. Notably, T2 with FAMD excels in detecting normal activity as intrusion compared to Autoencoder. This approach holds promise for improving network intrusion detection accuracy, especially in mixed-data environments.
Utilization of Flora in the School Environment as a Drawing Medium for Reading Children's Creativity Okta, Setyo Luthfi; Surya, Dhika; Zenklinov, Amanatullah Pandu
International Journal of Ethno-Sciences and Education Research Vol. 5 No. 1 (2025): International Journal of Ethno-Sciences and Education Research (IJEER)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v5i1.842

Abstract

This study examines the use of flora in the school environment as an alternative media to develop children's creativity through drawing activities. Using qualitative methodology with a descriptive approach, the study involved 19 elementary school students in an experiment based on the exploration of natural elements. The research instruments included participatory observation, documentation of work, and structured interviews. The results showed a significant increase in the dimensions of creativity, with indicators: a 40% increase in the quality of geometric patterns, 40% in color exploration, and 40% in abstract composition. Student involvement reached 90% with a high level of enthusiasm in the creative process. The findings indicate that flora media can stimulate imaginative capacity, encourage artistic experimentation, and broaden students' creative perspectives in the context of continuing art education.
Co-Authors Jimy, Valensius Okta, Setyo Luthfi Ramadhani, Sausan Rifki, Kevin Agung Fernanda Rosyadi, Niam Samsul Arifin Seleki, Jacob Stevy Suhermi, Novri Surya, Dhika Wiwik Wiyanti, Wiwik