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All Journal Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) The Indonesian Journal of Computer Science
Yemi, Leonardo
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Analisis Data Mining Menggunakan Algoritma C 4.5 Dalam Memprediksi Penerima Bantuan Sosial Yemi, Leonardo; Defit, Sarjon; Sumijan, S
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 4 (2024): Edisi Oktober
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i4.496

Abstract

Poverty is one of the highest problems most often experienced by various developing countries, there are many ways to overcome the purpose of social assistance is to overcome poverty, social assistance is usually provided by the government and non-profit organizations to groups of people who have economic limitations. The purpose of this study was to help recipients of social assistance to be right on target and can help people with limitations. One of the techniques used in data analysis is data mining. This study identifies recipients of social assistance using data mining efficiently and fairly. and testing the rapidminer application in the prediction process using the C4.5 algorithm. This research dataset uses 80 data based on data on recipients of social assistance in the Jati sub-district, Padang city. The results of the C4.5 algorithm performance test were able to present prediction analysis output with a very good level of accuracy, namely 93.75%. These results are quite evident that the C4.5 algorithm is able to present maximum prediction output in determining recipients of social assistance in the Jati sub-district, Padang city for the next period. Based on these results, it can facilitate and accelerate decision-making related to determining the receipt of social assistance by applying the C4.5 algorithm and can provide more accurate results.
Identifikasi Pengolahan Citra Pada Face Detection Menggunakan Metode Median Filtering dan Viola-Jones Sandiva, Tesa Vausia; Yemi, Leonardo; Ramadhanu, Agung
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3675

Abstract

Penelitian ini bertujuan untuk mengidentifikasi pengolahan citra pada sistem deteksi wajah (Face Detection) dengan memanfaatkan metode Median Filtering dan Viola-Jones. Metode Median Filtering digunakan dalam tahap preprocessing untuk mengurangi noise dan meningkatkan kualitas citra, khususnya dalam mengatasi noise seperti salt & pepper. Selanjutnya, metode Viola-Jones diterapkan sebagai metode utama untuk mendeteksi wajah, memanfaatkan Haar Like Feature, Integral Image, Adaboost Learning, dan Cascade Classifier. Penelitian ini mencapai tingkat akurasi keberhasilan deteksi wajah sebesar 90%, menunjukkan efektivitas kombinasi kedua metode dalam meningkatkan performa sistem. Hasil penelitian ini diharapkan dapat memberikan kontribusi positif terhadap perkembangan teknologi pengolahan citra, khususnya dalam aplikasi pengenalan wajah dengan tingkat akurasi yang tinggi.
Co-Authors Ramadhanu, Agung Sarjon Defit Sumijan, S Tesa Vausia Sandiva