Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Keteknikan Pertanian Tropis dan Biosistem Jurnal Teknik Elektro dan Komputasi (ELKOM)
Nurwahyudin, Rais
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Mechanical Engineering

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

Found 2 Documents
Search

 1 
Peningkatan Efisiensi Panel Surya pada Instalasi Rooftop berbasis Internet Of Things (IoT) Wicaksono, Darma Arif; Fitriana, Fitriana; Ariyani, Sofia; Nurwahyudin, Rais; Ajie, Fahmi Aulia
Jurnal Teknik Elektro dan Komputasi (ELKOM) Vol 3, No 2 (2021): ELKOM
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/elkom.v3i2.5869

Abstract

Energi terbarukan merupakan salah satu topik penelitian yang saat ini terus dikembangkan untuk mendukung pemerataan tersedianya pasokan listrik khususnya pada daerah terpencil. Potensi cahaya matahari di Indonesia yang besar membuat penelitian aplikasi panel surya terus dilakukan. Panel surya merupakan salah satu penerapan energi terbarukan yang bekerja dengan memanfaatkan energi matahari menjadi energi listrik. Aplikasi panel surya sebagai sumber listrik utama pengganti batu bara, gas, atau sumber daya alam tidak terbaharui memiliki keterbatasan, yaitu ketergantungan kondisi alam. Panel surya tidak dapat menghasilkan listrik maksimal ketika cahata matahari tidak sepenuhnya tersedia untuk menyinari bidang panel surya. Nilai efisiensi panel surya saat ini hanya ±30%, padahal debu yang mengumpul pada permukaan panel surya dapat menurunkan efisiensi panel surya sampai dengan ±9%. Dengan mengadopsi prinsip wiper cleaning pada mobil, penelitian dilakukan dengan menambahkan perangkat Internet Of Things (IoT) sebagai kendali tanpa kabel (wireless) untuk mempermudah perawatan panel surya terutama pada instalasi rooftop. Berdasarkan penelitian yang telah dilakukan berdasarkan skala laboratorium ini, efisiensi panel surya meningkat sebesar 10,86%.
Repurposing a Consumer Set-Top Box as a Low-Cost Edge Server for On-Device ODE-Based Growth Modeling of Hydroponic Fodder Handayani, Luluk; Nilogiri, Agung; Nurwahyudin, Rais
Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 14 No. 2 (2026): August 2026
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Conventional hydroponic fodder production relies on manual, non-predictive monitoring, complicating feed planning. This study presents a low-cost edge-computing platform for hydroponic fodder built on a repurposed Linux set-top box (STB), integrated with an environment-driven growth model through a Hardware-in-the-Loop (HIL) scheme. The STB edge node hosts the MQTT broker, time-series database, and monitoring dashboard, while temperature and light are acquired in real time by SHT30 and BH1750 sensors via an ESP32. No physical load cell is used; biomass is therefore simulated by a logistic ordinary differential equation (ODE) with temperature-dependent rate r(T) and light-dependent carrying capacity K(L), driven by real environmental data recorded over a single 10-day cultivation cycle (20-29 June 2026, with interpolated gaps flagged). The model is calibrated to two empirical anchor points (1 kg at day 0, 13 kg reference at day 10); this agreement is reported as a calibration/consistency check rather than out-of-sample predictive validation. Sensitivity analysis shows the endpoint is dominated by carrying capacity (S = 0.96), and a fourth-order Runge-Kutta solver deviates only 0.007 kg from a reference integrator. Crucially, the complete model is executed on the STB itself using only the Python standard library: a full 10-day simulation completes in 46.6 ms (43.7 microseconds per RK4 step) within 15 MB of RAM at a stable 50 C, demonstrating that the edge node alone suffices without cloud computation.
Co-Authors Agung Nilogiri Ajie, Fahmi Aulia Fitriana, Fitriana Sofia Ariyani Wicaksono, Darma Arif