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All Journal Jurnal Ilmiah Wahana Pendidikan
Muhamad Khandava Mulyadien
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Penerapan Algoritma C4.5 dalam Klasifikasi Status Gizi Balita Hajar Izzatul Islam; Muhamad Khandava Mulyadien; Ultach Enri
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 10 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (225.278 KB) | DOI: 10.5281/zenodo.6791722

Abstract

Posyandu in Dawuan Barat determines the nutritional status of children by looking at the growth chart in KIA and calculating the z-score manually and then matching the results to the category table and threshold, this takes a long time and is at risk of being inaccurate. The formulation of the problem in this study is how to do classification of data mining to determine the nutritional status of toddlers and how the evaluation results from the classification model. This study uses the C4.5 algorithm with the CRISP-DM methodology to classify the nutritional status of toddlers and uses a confusion matrix to determine the accuracy, precision, recall and f1-score values of the classification model and then the model is implemented into an application. The evaluation results of the 3 model scenarios in this study stated that scenario 1 produced the best performance among other models with 90% accuracy and 87% value of precision, recall and f1-score
Algoritma K-Means Untuk Pengelompokan Bantuan Langsung Tunai (BLT) Muhamad Khandava Mulyadien; Ultach Enri
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 12 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (395.262 KB) | DOI: 10.5281/zenodo.6944517

Abstract

The problem of poverty is a problem that often occurs in various regions in Indonesia, officials in West Dawuan Village continue to overcome these problems with various government assistance, one of which is Direct Cash Assistance (BLT). Often times in West Dawuan Village, there are obstacles in the distribution of the Direct Cash Aid funds received by parties who do not meet the criteria, there are residents who receive BLT successively and policy-making errors have a negative impact on the use of aid, especially in West Dawuan Village, Karawang. Using data mining clustering techniques, it is possible to group prospective beneficiaries according to the criteria to overcome these problems. This study uses the K-Means algorithm to classify BLT recipients in Dawuan Barat Village. The evaluation results from the resulting K-Means clustering model were then evaluated by using the SSE (Sum of Square Error) test. From the resulting K-Means clustering model, recommendations for prospective BLT recipients will be known according to the applicable criteria. With the help of the elbow method, the value of k=6 is obtained as the optimal k value and the results of the SSE cluster 6 test produce the best value among other clusters, which is 24551994078884.86. As a recommendation for BLT recipients, it can be done based on the best results from the SSE evaluation, namely cluster 6
Co-Authors Hajar Izzatul Islam Ultach Enri