Article Per Year (5 Year)
p-Index From 2021 - 2026
1.452
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Jurnal Neutrino : jurnal fisika dan aplikasinya El-QUDWAH Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Jurnal Fisika FLUX Jurnal Penelitian Pendidikan IPA (JPPIPA) Indonesian Journal of Chemistry JURNAL PENDIDIKAN MIPA Indonesian Journal of Halal Research Jurnal Fisika Indonesia
Imam Tazi
Jurusan Fisika, Fakultas Sains Dan Teknologi, Universitas Islam Negeri Maulana Malik Ibrahim
Religion Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Environmental Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Social Sciences Other

Published : 19 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : International Journal of Electrical and Computer Engineering

 1 
Performance evaluation of single-mode fiber optic-based surface plasmon resonance sensor on material and geometrical parameters Tazi, Imam; Riana, Dedi; Syahadi, Mohamad; Muthmainnah, Muthmainnah; Sasmitaninghidayah, Wiwis; Aprilia, Lia; Tresna, Wildan Panji
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i5.pp5072-5082

Abstract

Surface plasmon resonance (SPR) sensors are proficient at detecting minute changes in refractive index, making them ideal for biomolecule detection. Traditional prism-based SPR sensors encounter miniaturization challenges, encouraging exploration of alternatives like fiber optic-based SPR (FO-SPR) sensors. This study comprehensively investigates the effects of material and geometrical parameters on the performance of single-mode FO-SPR sensors using Maxwell's equation solver software based on the finite-difference time-domain (FDTD) method. The findings highlight the influence of plasmonic thin film materials and thickness on SPR spectrum profiles and sensitivity. Silver (Ag) demonstrates superior performance compared to copper (Cu) and gold (Au) in transmission type, achieving a sensitivity of up to 2×103 nm/RIU, while the sensitivities of Cu and Au are lower. Probe length and core diameter impact spectrum profiles, specifically resonance depth, without affecting sensitivity. Furthermore, variations in core refractive index influence both spectrum profiles and sensitivity. Probe types significantly affect both spectrum profiles and sensitivity, with the reflection type surpassing the transmission type. These results provide suggestions for optimizing FO-SPR sensors in biotechnological applications.
Internet of things-based water quality monitoring design to improve freshwater lobster farming management Muthmainnah, Muthmainnah; Khasanah, Iva Khuzaini; Hananto, Farid Samsu; Romadani, Arista; Tazi, Imam; Mulyono, Agus; Tirono, Mokhamad
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i4.pp3717-3726

Abstract

The development of lobster farming requires careful water quality monitoring to ensure optimal growth and health. This study introduces a novel internet of things (IoT)-based water quality monitoring system designed specifically for lobster farming applications, operating on the Antares IoT platform. The system incorporates pH, temperature, and turbidity sensors to measure critical water quality parameters. The sensors were calibrated and validated using standard methods, yielding high accuracy, with average values of 98.74% for pH, 98.78% for temperature, and 98.56% for turbidity. The study also involved direct monitoring over five days, with pH values ranging between 8-10, temperatures between 23-27°C, and stable turbidity at 90-99 NTU. The novelty of this system lies in its ability to provide real-time, reliable data and predictive analysis to support effective water quality management in lobster farming. Unlike traditional water quality monitoring systems that lack real-time data analysis or predictive capabilities, this system integrates both monitoring and forecasting features, allowing for more proactive management. Additionally, it offers higher accuracy and lower sensor drift compared to older, manual water quality monitoring methods. Experimental results indicate that the proposed monitoring system can deliver accurate and reliable data, supporting optimal farming conditions. These findings align with and expand upon existing literature, offering a more integrated and efficient solution for real-time and accurate monitoring in lobster farming.
Co-Authors Agus Mulyono Anis Choiriyah Arum Sinda Santika Avin Ainur Avin Ainur Avin Ainur Bagas Surya Wibowo Chamidah, Ninik Deni Bako Tabriawan Dwi Siswanta Fabriansyah Zakaria Arabani Fahmi Huda Z Fajrul Falah Falah, Fajrul Farid Samsu Hananto Isnaini, Nur Laila Khasanah, Iva Khuzaini Kusairi Kusairi kusairi kusairi, kusairi Kuwat Triyana Kuwat Triyana Lia Aprilia Margareta, Silvi Nadya Moh. Fajrul Falah Mohamad Syahadi Mokhamad Tirono Muthmainnah Muthmainnah Muthmainnah Muthmainnah Muthmainnah Muthmainnah Muthmainnah Muthmainnah Mutmainnah Mutmainnah Mutmainnah Mutmainnah Naqiibatin Nadliriyah Ninik Chamidah Noor, Marvina Rizqi Nur Laila Isnaini Prilya Dewi Fitriasari Putri, Siska Emelda Riana, Dedi Romadani, Arista Santika, Arum Sinda Suyono Suyono Suyono Suyono Ummah, Auliya Rahmatul Wildan Panji Tresna Wiwik Handayani Wiwis Sasmitaninghidayah