Adiwijaya Adiwijaya

Handling Imbalanced Data in Churn Prediction Using RUSBoost and Feature Selection (Case Study: PT.Telekomunikasi Indonesia Regional 7)

2016 · Advances in intelligent systems and computing

Solving imbalance problems is a challenging tasks in data mining and machine learning. Most classifiers are biased towards the majority class examples when learning from highly imbalanced data. In practice, churn prediction is considered as …

Text Categorization on Hadith Sahih Al-Bukhari using Random Forest

2018 · Journal of Physics Conference Series

Al-Hadith is a collection of words, deeds, provisions, and approvals of Rasulullah Shallallahu Alaihi wa Salam that becomes the second fundamental laws of Islam after Al-Qur'an. As a fundamental of Islam, Muslims must learn, memorize, …

Pengklasifikasian Topik Hadits Terjemahan Bahasa Indonesia Menggunakan Latent Semantic Indexing dan Support Vector Machine

2018 · JURNAL MEDIA INFORMATIKA BUDIDARMA

Hadith is used as the source of Islamic law othen than Qur’an, Ijma, Ijtihad and Qiyas, hadith is the second of Islamic law after the Qur’an. This study attempted to build a system than can …

Segmentation image re-coloring based on k-means clustering algorithm as a tool for partial color-blind people

2019 · Journal of Physics Conference Series

Color blindness is one of the eye anomalies that can not distinguish one color from another. Therefore, the information contained in the image may be lost seen by color blindness people. To reduce the possibility …

Improvement of Imbalanced Data Handling: A Hybrid Sampling Approach by using Adaptive Synthetic Sampling and Tomek links

2023

Nowadays, the imbalanced data problem is still a crucial issue in classifying, especially in the medical data domain. For this reason, in this study, we propose a hybrid sampling method that combines adaptive synthetic sampling …