L. Syafaah

Study on diabetes prediction based on discrete and continuous mean amplitude of glycemic excursions using machine learning methods

Fauzi Dwi Setiawan Sumadi, M. Purnomo, Setio Basuki, 2020 .

K-nearest neighbor imputation for missing value in hepatitis data

L. Syafaah, A. Faruq, Arifin Surya Alianso, 2022, AIP Conference Proceedings.

Self-Monitoring and Detection of Diabetes with art Toilet based on Image Processing and K-Means Technique

Lailis Syafaah, Merinda Lestandy, Amrul Faruq, 2020, 2020 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS).

Performance Comparison of Fuzzy Logic and Proportional-integral for an Electronic Load Controller

Machmud Effendy, Amrul Faruq, M. Irfan, 2017 .

Penerapan Deep Learning untuk Prediksi Kasus Aktif Covid-19

Lailis Syafaah, Merinda Lestandy, L. Syafaah, 2021 .

Improvement of maximum power point tracking (MPPT) efficiency using grey wolf optimization (GWO) algorithm in photovoltaic (PV) system

Machmud Effendy, Lailis Syafaah, Ilham Pakaya, 2019, IOP Conference Series: Materials Science and Engineering.

Diabetes prediction based on discrete and continuous mean amplitude of glycemic excursions using machine learning

Fauzi Dwi Setiawan Sumadi, M. Purnomo, Setio Basuki, 2020, Bulletin of Electrical Engineering and Informatics.