Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Jurnal Penelitian dan Pengembangan Kesehatan Masyarakat Indonesia (JPPKMI)
Lestari, Hesti Tri
Unknown Affiliation
Control & Systems Engineering Electrical & Electronics Engineering Public Health

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Pratik Personal Hygiene pada Penjamah Makanan Pedagang Kaki Lima Lestari, Hesti Tri; Wijayanti, Yuni
Jurnal Penelitian dan Pengembangan Kesehatan Masyarakat Indonesia Vol 4 No 2 (2023): JPPKMI: November 2023
Publisher : Asosiasi Institusi Pendidikan Tinggi Kesehatan Masyarakat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jppkmi.v4i2.70545

Abstract

Pernyakit bawaan makanan menjadi masalah kesehatan di Indonesia karena personal hygiene yang buruk. Sehingga penjamah makanan harus memenuhi persyaratan dalam melakukan kegiatan pelayanan penanganan makanan. Tujuan penelitian ini adalah untuk mengetahui hubungan antara umur, jenis kelamin, tingkat pendidikan, tingkat pengetahuan, sikap, dan sarana cuci tangan dengan praktik personal hygiene pada penjamah makanan pedagang kaki lima. Jenis penelitian ini yaitu penelitian kuantitatif dan rancangan cross sectional. Instrumen yang digunakan yaitu lembar kuesioner dan lembar observasi. Sampel penelitian berjumlah 72 orang dengan teknik proportional random sampling. Hasil penelitian menunjukkan bahwa umur (p=0,951), jenis kelamin (p=0,021), tingkat pendidikan (p=0,108), tingkat pengetahuan (p=0,000), sikap (p=0,285), dan sarana cuci tangan (p=0,704). Simpulan penelitian ini adalah terdapat hubungan antara jenis kelamin dan tingkat pengetahuan dengan praktik personal hygiene pada penjamah makanan pedagang kaki lima, sedangkan umur, tingkat pendidikan, sikap, dan sarana cuci tangan tidak terdapat hubungan yang signifikan dengan praktik personal hygiene pada penjamah makanan pedagang kaki lima.
Predicting transmission losses using EEMD – SVR algorithm Lestari, Hesti Tri; Sereati, Catherine Olivia; Siregar, Marsul; Bachri, Karel Octavianus
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i3.pp2122-2129

Abstract

This work introduces a predictive model for evaluating transmission losses in the Java-Bali electrical system using ensemble empirical mode decomposition (EEMD) and support vector regression (SVR) techniques. Transmission losses, a critical aspect of energy efficiency, are affected by several operational aspects, such as load flow, energy composition, peak load, and meteorological factors such as transmission line temperature. Transmission losses data were decomposed into many intrinsic mode functions (IMFs) by EEMD, effectively capturing both high-frequency (short-term) and low-frequency (long-term) trends. The SVR algorithm, utilizing a radial basis function (RBF) kernel, was subsequently employed to predict the deconstructed IMFs, facilitating accurate predictions of transmission losses. The proposed EEMD-SVR model achieved a mean absolute error (MAE) of 5.43%, with the highest error observed during the period of abrupt load shifts. These results confirm the model’s strength in identifying long-term transmission loss patterns, making it suitable for system planning and operational forecasting. While the model exhibited high prediction accuracy, especially in recognizing long-term trends, it faced limitations in accurately predicting abrupt changes in transmission losses. Therefore, future improvements should aim to enhance responsiveness to sudden changes in the system dynamics. The result suggests that the EEMD SVR model can proficiently assist power system operators in monitoring and mitigating transmission losses.
Co-Authors Bachri, Karel Octavianus Catherine Olivia Sereati Siregar, Marsul Yuni Wijayanti