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Journal : Bulletin of Electrical Engineering and Informatics

Ultra low loss and dual polarized SPR-PCF sensor based on refractive index Irawan, Dedi; Ramadhan, Khaikal; Saktioto, Saktioto; Fitmawati, Fitmawati; Hanto, Dwi; Widiyatmoko, Bambang; Marwin, Azwir; Azhar, Azhar
Bulletin of Electrical Engineering and Informatics Vol 12, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i6.4293

Abstract

In this paper presents a numerical simulation using the finite element method (FEM) to analyze the performance of a photonic crystal fiber (PCF) integrated with plasmonic material sensor components. The sensor comprises silica and Au layers with a thickness of 45 nm, arranged in a simple geometric structure. Our proposed sensor component exhibits ultra-low loss, distinguishing it from previous studies that have focused on wavelength-sensitive (WS) and amplitude-sensitive (AS) measurement techniques. The refractive index (RI) range of the sensor component spans from 1.32 to 1.38 RIU. The maximum WS and AS values achieved are 6,000 nm/RIU, -373.4 1/RIU (x-polarization), and -385.4 1/RIU (y-polarization), respectively. Moreover, we demonstrate an ultra-low loss of 0.00117 dB/cm (x-polarized) and 0.00307 dB/cm (ypolarized). In terms of sensor resolution, this design achieves a remarkable resolution of 1.6×10-7 RIU for both x-and y-polarized measurements
Multispectral imaging and deep learning for oil palm fruit bunch ripeness detection Shiddiq, Minarni; Saktioto, Saktioto; Salambue, Roni; Wardana, Fiqra; Dasta, Vicky Vernando; Harmailil, Ihsan Okta; Rabin, Mohammed Fisal; Arpyanti, Nisa; Wahyudi, Dilham
Bulletin of Electrical Engineering and Informatics Vol 13, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i6.8120

Abstract

Oil palm fresh fruit bunches (FFBs) are the raw material of crude palm oil (CPO) on which ripeness levels of FFBs are essential to obtain good quality CPO. Most palm oil mills use experienced graders to evaluate FFB ripeness levels. Researchers have developed rapid and non-destructive methods for ripeness detection using computer vision (CV) and deep learning. However, most of the experiments used color cameras, such as a webcam or a smartphone, limited to visible wavelengths, and used still FFBs on–trees or on the ground. This study developed a light-emitting diode (LED)-based multispectral imaging system with deep learning for rapid and real-time ripeness detection of oil palm FFBs on a moving conveyor. The ripeness levels used were unripe and ripe. We also evaluated the spectrum of reflectance intensities for the ripeness levels. The ripeness detection system employed a two-class you only look once version 4 (YOLOv4) detection model using a dataset of 2000 annotated unripe and ripe FFB multispectral images and a video of 30 moving FFBs for real-time testing. The results show a promising method to detect oil palm FFB ripeness with an average accuracy of 99.66% and a speed range of 3.32-3.62 frame per second (FPS).
The use of fiber bragg grating coated with polyimide for CO2 gas sensor Irawan, Dedi; Saktioto, Saktioto; Azhar, Azhar; Sutoyo, Sutoyo; Sahal, Muhammad; Hanto, Dwi; Widiyatmoko, Bambang
Bulletin of Electrical Engineering and Informatics Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i5.9283

Abstract

This study presents the application of fiber bragg grating (FBG) sensors coated with polyimide for detecting carbon dioxide (CO₂) gas, employing both theoretical and experimental approaches. The basic FBG components were coated with polyimide layers of varying thicknesses. Subsequently, the fabricated FBG sensors were characterized using an optical interrogator system with four channels. Furthermore, the sensor was tested for CO₂ detection at a working temperature of 47 °C. Experimental data showed that the FBG sensor coated with polyimide layers of 10 nm, 15 nm, and 20 nm demonstrated sensitivities of 1.9 ppm, 1.84 ppm, and 1.8 ppm, respectively. In contrast, the uncoated FBG sensor exhibited a higher sensitivity of 3 ppm. Increasing the coating thickness beyond 20 nm leads to a decrease in sensor sensitivity. The findings suggest that an optimal polyimide coating thickness for CO₂ detection using FBG sensors is around 20 nm. Achieving high sensitivity in CO₂ gas sensors is crucial for their effective use across a broad range of applications.
Co-Authors ', Hotmariani Abdillah, Rahmad Abdul Sadad Abdullah, Hewa Yaseen Agrina, Agrina Agustin, Detlamasi Ahlunnazah, Muhammad Aisah, Nurul Andika Thoibah Andika Thoibah Andri Saputra Anggraini, Wresni Anggraini, Wresni Angraini, Cici Yana Tasya Anita, Sofia Ari Sulistyo Rini Arpyanti, Nisa Asyana, Vepy Awitdrus Awitdrus, Awitdrus Azhar Azhar Aziz, Muhammad Safwan Abd Azwir Marwin B. Pranggono Bambang Widiyatmoko Bambang Widiyatmoko Basdyo, Doni Basdyo, Doni Bibara, Kushkimbayeva Budi Astuti Dadang Syarif Sihabudin Sahid Dasta, Vicky Vernando Dedi Irawan dedi irawan Dedi Irawan Dedi Irawan Defrianto Defrianto Delovita Ginting, Delovita Deprianto Deprianto Dewi Indriyani Roslim Dewi Kurnia Dewi Mulfida Dian Putri Oktavia, Dian Putri Didik Puji Sutriyono Dina Veranita Dino Yanuardi Doni Basdyo Dwi Hanto Dwi Hanto Dwi Utari Iswavigra Dwi Utari Iswavigra Eka Armas Pailis Elin Haerani Haerani Elisa Saadah Elvia Budianita Erin Mazelly Hutapea Erlinda, Sopya Erman Taer Erwin Amiruddin Erwin Erwin Fadhali, Mohammed Fadhali, Mohammed M Fairuz Diyana Ismail Faisal Saeed Febi Dwi Fadilla Febri Yuliani Feri Candra Fitmawati Fitmawati Fitmawati Fitmawati Fitri Insani Gita Rahayu H.M. Hairi Haerani, Elin Haerani Hairi, Haryana Mohd Hamdi, Muhammad Harmailil, Ihsan Okta Haryana bin Mohd Hairi Haryana Hairi Haryana Hairi Heru Santoso Husna, Ropiqotul Idjang Tjarsono Ikhsan Rahman Husein Insani, Fitri Irvan Rahmat Iswavigra, Dwi Utari Iwantono Iwan Barnawi J. Ali Jalil Ali Juandi Juandi Kasri, Anshori Khaikal Ramadhan Khaikal Ramadhan Lubis, Nuraina Fika M.S. Roslana Mahyarni - Maikul, Kusherbayeva Marwin, Azwir Mesra Sania Meyzia, Bunga Minarni Minarni Minarni Shiddiq, Minarni Moh Danil Hendry Gamal Mohammad Fisal Rabin Muhammad Absor Muhammad Edisar Muhammad Hamdi Muhammad Sahal Mulfida, Dewi Murniati Murniati Musa Irfan Nandita Devira Nelda Ipkawati Neneng Fitrya Nurpadilla, Rani Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa, Okfalisa Okfalisa, Okfalisa Pranggono, B. Rabin, Mohammed Fisal Rahma Dewi Rahmad Abdillah Rahmondia Nanda Setiadi Rakhmawati Farma Ramadhan, Khaikal Ramadhani, Fatima Nur Reeky Fardinata Riad Syech Riad Syech Ridho Kurniawan Rina Amelia Rina Amelia Rini, Ari Sulistyo Rini, Ari Sulistyo Risanto, Joko Roby Ikhsan Romi Fadli Syahputra Ronald, Azza Roni Salambue Ros Meri Ros Meri Rosnita Rosnita Rusnedy, Hidayati S. P. Dewi S.S.M. Fauzi S.S.M. Fauzi Samudra, Mohd Rendy Septi Pramuliawati Septia Anugrah Septian Nugraha Siti Nurul Alifah Soerbakti, Yan Sofia Anita Sugianto ' Suhaivi Hamdan Suhaivi Hamdan Suhardi Suhardi Sutoyo Sutoyo Syahril Syahril Syamsudhuha Syamsudhuha Taofeeq D Moshood Tengku Emrinaldi Teodora Maria Meliati Sinaga Theresa Febrina Siahaan Velia Veriyanti Vepy Asyana Veriyanti, Velia Wahyu Candra Wahyudi, Dilham Wardana, Fiqra Wresni Anggraini Wresni Anggraini Wresni Anggraini Wresni Anggraini Yan Soerbakti Yan Soerbakti Yan Soerbakti Yan Soerbakti Yana, Debi Yolanda Rati Yoli Zairmi Yunita I. Lubis Yupapin, Preecha Yurike Asra Zahidah Zulkifli Zahroh, Siti Zairmi, Yoli Zamri Zamri Zamri, Zamri Zulkarnain Zulkarnain Zulkarnaini Zulkarnaini