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All Journal Jurnal Penelitian Fisika dan Terapannya (JUPITER) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence
Putra, David Eka
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Mathematics Physics Public Health

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Reduction of Steel Corrosion Rate Using Natural Inhibitor from Cocoa Pod Husk Extract in HCl Solution Prameswari, Apriska; Asmar Putra, Iqbal Kurniawan; Putra, David Eka
Jurnal Penelitian Fisika dan Terapannya (JUPITER) Vol. 7 No. 1 (2025): Jurnal Penelitian Fisika dan Terapannya (JUPITER)
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/jupiter.v7i1.18933

Abstract

This study explores the effectiveness of cocoa husk extract as a natural corrosion inhibitor for steel exposed to hydrochloric acid (HCl). Steel samples were immersed in the extract solution for four different durations: 48, 96, 144, and 192 hours. After coating, the samples were subjected to an HCl solution for 168 hours. The corrosion rate was assessed using the weight loss method, which quantifies mass reduction as an indicator of corrosion severity. Surface characteristics were analyzed through optical microscopy, Scanning Electron Microscopy (SEM), and theoretical modeling using Density Functional Theory (DFT). The findings demonstrate that the application of cocoa husk extract significantly reduces corrosion rates, with a maximum inhibition efficiency of 78.4%. This improvement is attributed to the formation of a protective layer on the steel surface, which acts as a barrier against acid interaction. The results suggest that cocoa husk extract is a promising, environmentally friendly alternative for protecting steel materials from corrosion.
PEMBUATAN ALAT PENYIRAMAN TANAMAN OTOMATIS BERBASIS IOT UNTUK PEMBIBITAN DI BALAI PENYULUHAN PERTANIAN KECAMATAN SIJUNJUNG Mudia, Halim; Putra, David Eka; Yulastri, Yulastri; Afif , Muhammad; Zakaria, Zakaria
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 5 (2024): Vol. 5 No. 5 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i5.36984

Abstract

Teknologi Internet of Things (IoT) telah memberikan kontribusi signifikan dalam berbagai sektor, termasuk pertanian. Penelitian ini bertujuan untuk merancang dan mengimplementasikan alat penyiraman tanaman otomatis berbasis IoT di Balai Penyuluhan Pertanian (BPP) Kecamatan Sijunjung. Sistem ini menggunakan ESP32 sebagai mikrokontroler dan aplikasi Blynk pada smartphone untuk mengontrol pompa air secara jarak jauh, serta mengatur agar pompa menyala setiap 8 jam selama 5 menit secara otomatis. Hasil penerapan menunjukkan bahwa sistem ini efektif dalam mengurangi ketergantungan pada tenaga kerja manual, meningkatkan efisiensi penyiraman, dan memastikan tanaman mendapat air pada waktu yang tepat. Penggunaan sistem ini terbukti dapat meningkatkan keberhasilan dalam pembibitan, terutama di wilayah dengan topografi yang menantang seperti Sijunjung. Ke depannya, pengembangan lebih lanjut dengan integrasi sensor kelembaban tanah diharapkan dapat membuat sistem lebih cerdas dan efisien.
Analisis Sensitivitas Parameter Rangkaian RLC Menggunakan Runge-Kutta Adaptif untuk Akurasi Numerik Optimal Putra, David Eka; Fauzan, Reski Yulian; Salmeno, Amran Paso
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 5 No 3 (2025): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v5i3.1432

Abstract

This study investigates the numerical performance and parameter sensitivity of a RLC circuit solved using the adaptive Runge-Kutta-Fehlberg (RKF45) method. The mathematical model is formulated as a second-order ordinary differential equation and numerically integrated using RKF45 with local error control, then compared with the classical fourth-order Runge-Kutta (RK4) method using a fixed time step. Validation against the analytical steady-state solution shows that RKF45 achieves high accuracy with a lower Root Mean Square Error (RMSE ? 1.39×10??) while requiring 40% fewer integration steps than RK4. A sensitivity analysis based on normalized sensitivity coefficients is performed for ±10% variations of the R, L, and C parameters. The results reveal that inductance is the most dominant parameter influencing oscillatory dynamics, followed by capacitance, while resistance contributes mainly to damping. The sensitivity ranking is found to |. Overall, the findings display that RKF45 offers an efficient and accurate approach for RLC transient simulation and parameter sensitivity evaluation, making it suitable for applications that require high-precision dynamic analysis.
Co-Authors Afif , Muhammad Asmar Putra, Iqbal Kurniawan Fauzan, Reski Yulian Halim Mudia Prameswari, Apriska Salmeno, Amran Paso Yulastri Yulastri Zakaria Zakaria