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Data Mining Technique in Detecting and Predicting Cyber In Marketplace Sector Waruwu, Jurisman; Hadinata, Wira; Febriyani, Siska; Wijayanti, Rini
Jurnal Informatika Vol 1 No 1 (2022): Jurnal Informatika
Publisher : LPPM Universitas Nias Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57094/ji.v1i1.350

Abstract

Marketplace is one business solution that can be profitable, because it is not bound by time and place. However, marketplace can be misused by irresponsible parties, and can harm others. Then a pattern is needed to predict cybercrime in order to prevent it. To get a pattern, we can use data mining. This paper presents a general idea about the model of Data Mining techniques and diverse cybercrimes in market place applications. This paper implements data mining techniques like K-Means, Influenced Association Classifier and J48 Prediction tree for investigating the cybercrime data sets. K-means selects the initial centroids so that the classifier can mine the record and also formulate predictions of cybercrimes with J48 algorithm. The knowledge of K-Means, Influenced Association Classifier and also J48 Prediction tree tends certainly to afford a enhanced, incorporated, and precise result over the cybercrime prediction in the marketplace sectors and prevent the cybercrime.
Pengaruh Model Value Clarification Technique (VCT) Terhadap Hasil Belajar PKn Kelas IV di SDN 1 Gelumbang Febriyani, Siska; Akhbar, M. Taheri; Dedy, Adrianus
Indonesian Research Journal on Education Vol. 3 No. 1 (2023): irje 2023
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (169.441 KB) | DOI: 10.31004/irje.v3i1.99

Abstract

This study aims to determine the effect of the Value Clarification Technique (VCT) model on thefourth grade Civics learning outcomes at SD Negeri 1 Gelumbang. The research method used is an experimental method of True Experimental Design in the form of Pretest-Posttest Only Control Group Design. The population in this study were fourth grade students of SD Negeri 1Gelumbang. The sample of this study used random sampling, namely IV A and IV C. Datacollection techniques were through tests, observations, and documentation. Based on the results of research and data analysis, it can be seen that the experimental class that was given treatment with Value Clarification Technique (VCT) model had an average final score of 81,03 higher than the average control class that was given treatment without using the Value model Clarification Technique (VCT) is 72,9. The results of testing the hypothesis that tcount = 2,247 and ttablel = 1,675, tcount > ttable (2,247 > 1,675) then Ho is rejected and Ha is accepted, it can be concluded that there is an effect of the Value Clarification Technique (VCT) model on the learning outcomes of Civis Class IV at SD Negeri 1 Gelumbang.