Claim Missing Document
Check
Articles

Found 10 Documents
Search

PERANCANGAN ALAT UKUR PEMILIH JANGKAUAN UNTUK MENGUKUR DAYA OPTIK Hanto, Dwi; Setiono, Andi; Sugiarto, Iyon T.; Waluyo, Thomas B.; Widiyatmoko, Bambang
Telaah Vol 32, No 2 (2014)
Publisher : Research Center for Physics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/tel.32.2.183

Abstract

Tulisan ini menjelaskan tentang pembuatan rangkaian pemilih jangkauan pada perancangan alat ukur daya optik atau powermeter optik. Penelitian yang dilakukan adalah membuat rangkaian pengkondisi sinyal. Rangkaian ini dibuat berdasarkan penguat transimpedansi dengan 6 buah pilihan resistansi umpan balik, yaitu 1 kΩ, 10 kΩ, 100 kΩ, 510 kΩ, 1 MΩ, dan 2 MΩ. Pengukuran dilakukan dengan menggunakan sumber cahaya berupa laser dengan panjang gelombang 1310 nm. Untuk variasi nilai, daya optik dari laser diatenuasikan dengan menggunakan atenuator optik sampai dengan 60 dB. Keluaran dari rangkaian ini berupa tegangan listrik yang diukur dengan menggunakan voltmeter. Dari hasil pengukuran kami menemukan bahwa setiap nilai resistansi memiliki jangkauan yang berbeda. Nilai daya optik pada masing-masing pemilihan resistansi adalah seperti berikut: -15 dBm s.d. -4.96 dBm pada resistansi 1 kW, -20 dBm s.d. -8 dBm pada resistansi 10 kΩ, -32 dBm s.d -18 dBm pada resistansi 100 kΩ, -40 dBm s.d. -28 dBm pada 510 kΩ, -45 dBm s.d. -28 dBm pada resistansi 1MΩ, dan -50 dBm s.d. -40 dBm pada resistansi 2 MΩ. Penelitian ini dapat dikembangkan untuk membuat alat ukur daya optik multijangkauan dengan ketelitian yang baik dengan mengganti beberapa nilai resistansi sesuai dengan jangkauan yang diinginkan.
Pengembangan Sistem Pengukuran Gejala Fisis Longsor Sistem Elektronik Dan Optik Widiyatmoko, Bambang; Hanto, Dwi; Puranto, Prabowo
BERKALA FISIKA Vol 13, No 2 (2010): Berkala Fisika, Edisi Khusus
Publisher : BERKALA FISIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (411.821 KB)

Abstract

Landslides are a common disaster in Indonesia so that the necessary anticipation through the monitoring of areas prone to the development of instrumentation systems disaster. Design has been done measuring the physical symptoms of landslides using optical and electronic systems. Measured physical symptoms include a shift in soil, and soil strains. Shift in the electronic ground sensors made by using linear and potensio constan current source. The result of measurement is known that this sensor can detect a shift change of 0.5 mm with a maximum shift of 250 mm. Soil strain measured using a fiber optic brag grating (FBG), which changes the transmission peak of FBG was done by using the diode laser wavelength sweeping. Fiber brag grating is an optical sensor that works according to the resonant effect of a refractive index grating lattice, where the resonant wavelength is determined by the lattice distance. From this principle it is when the lattice spacing change due to the strain and temperature changes, the peak resonant wavelength will also change. Changes in the resonant peaks are measured to determine the strain or temperature measurement. measurement Simulation showed that the relationship between strain and change in peak wavelength is linear with slope (Δλ / ΔF) 1.41 nm / kNewton. Keywords: Extensometer, linear potentiometers, fiber Brag grating, landslides, system monitoring, disaster  
High Sensitivity CH4 and CO2 Gas Sensor Using Fiber Bragg Grating Coated with Single Layer Graphene Irawan, Dedi; Saktioto; Dwi Hanto; Widiyatmoko, Bambang; Sutoyo
Science and Technology Indonesia Vol. 9 No. 3 (2024): July
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2024.9.3.710-717

Abstract

This article outlines the development of a Fiber Bragg Grating (FBG) intended for use as a sensor for CH4 and CO2 gases. Following fabrication, the FBG was effectively treated with a layer of Graphene Material through a modified RF Sputtering process. This coating procedure involved introducing argon gas into the chamber and subjecting the FBG, securely held by two vacuum stages, to a temperature range of 27°C to 600°C by adjusting the power supplied to the cathode and anode, ranging from 0 to 125 Watts. Subsequently, the FBG was employed as a key sensing element within an experimental setup aimed at measuring gas concentrations within a confined space. The assessment involved analyzing the reflected signal of the FBG using an Optical Interrogator System, which demonstrated a shift in the Bragg wavelength of the reflected signal corresponding to varying gas concentrations. This study indicates promising outcomes for the Graphene-coated FBG as a gas sensor. The sensor’s sensitivity was evaluated based on the Bragg wavelength shift resulting from gas presence within the chamber. The Graphene-coated FBG exhibited sensitivities of 3.3 ppm for CH4 and 3.7 ppm for CO2, surpassing those reported in prior research efforts.
Optical laser-generated electricity for powering tilt-meter sensor Nelfyenny, Nelfyenny; Bayuwati, Dwi; Suryadi, Suryadi; Husdi, Irwan Rawal; Mulyanto, Imam; Prasetio, Aditya Dwi; Irawan, Dedi; Widiyatmoko, Bambang; Setiono, Andi
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i6.pp6140-6147

Abstract

This research investigated the feasibility and efficacy of power over fiber (PoF) transmission systems for geotechnical monitoring applications, addressing challenges associated with traditional power transmission methods. Leveraging fiber optic technology, PoF systems offer advantages such as high reliability, minimal signal loss, and immunity to environmental factors. The study presents a detailed design and implementation of a PoF transmission system, integrating a high-power laser source (HPLS) and photovoltaic technology for efficient power transmission over extended distances. Results demonstrate impressive volt-ampere characteristics and conversion efficiencies, with the optimized system configuration achieving a peak power output of 682 mW. Furthermore, the study evaluated the performance of a surface inclinometer sensor powered by the PoF system, showcasing its effectiveness in monitoring soil movements with remarkable stability and consistent power supply. Future research directions include scalability studies, optimization of system efficiency, and field deployments to broaden the applicability of PoF technology in geotechnical monitoring, ultimately advancing disaster mitigation and infrastructure resilience efforts.
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
Dynamic Characterization of Macrobending Loss Optical Fiber-Based Load Sensor Widiyatmoko, Bambang; Rofianingrum, Mefina Y.
Journal of Technomaterial Physics Vol. 3 No. 1 (2021): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v3i1.5543

Abstract

The weight of vehicles passing through the road greatly affects road damage, so it is necessary to have a non-stop weighing system or Weight in Motion (WIM). In this study, the dynamic characterization of the WIM sensor was carried out based on the principle of optical fiber macrobending. In this study, a single-mode step-index optical fiber was used as the sensor material and a laser diode with a power of 5 mW and a wavelength of 1,550 nm as a light source. Characterization was carried out by running over the sensor using a motor with three variations of speed, namely 10 km/hour, 15 km/hour, and 20 km/hour. Two different conditions were also carried out, namely, the sensor was directly crushed and the sensor was reinforced in the form of a half-cylinder wooden beam. The test was carried out with three different types of sensors. From the observations, data shows that the addition of a beam can increase the accuracy of the reading as seen from the smaller the difference in the output voltage reading for the same type of sensor and vehicle speed. Besides that, there is a strengthening of the sensor resistance up to 10 times which is known from the sensor output voltage where the voltage at the addition of the beam is 1/10 of the reading without the beam. This is due to an increase in the sensor area exposed to the load.
PENGEMBANGAN SISTEM MONITORING ALIRAN DAN KUALITAS AIR SUNGAI MENGGUNAKAN PELAMPUNG BERBASIS SMART ENVIRONMENT Nasution, Subhan Fahmi; Harmadi, Harmadi; Suryadi, Suryadi; Widiyatmoko, Bambang
Jurnal Ilmu Fisika Vol 16 No 1 (2024): March 2024
Publisher : Jurusan Fisika FMIPA Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jif.16.1.1-12.2024

Abstract

Efficient and accurate river water quality monitoring is needed to support laboratory testing based on on-site sampling. Therefore, we have developed a monitoring system for river flow and water quality using sensor-equipped buoys and the Internet of Things (IoT) concept. An ESP32 NodeMCU microcontroller integrated with WiFi and compatible with Arduino IDE is used in the system. The buoy is equipped with GPS to determine the position and flow speed and sensors to measure water quality parameters of pH and temperature. Data on position, flow velocity, and water quality parameters are transmitted over a WiFi network using the MQTT protocol. The data is recorded by the buoy and uploaded and displayed on the adafruit.io platform. Positioning was done by comparing the values displayed on the Neo-6M GPS with the Maps application on the smartphone. The results show that the GPS coordinate values are accurate. The water quality parameter values obtained have an error rate of 3.3% for the pH sensor and 1.02% for the temperature sensor. Thus, the system we have developed has the potential to be used as a substitute for field sampling-based river water quality monitoring systems.
Aplikasi Pemantauan dan Prediksi Kadar Kualitas Air Sungai Dengan Algoritma Random Forest Pada Pusat Riset Fotonika Samudra, Achdiyat Ilyasa; Syawal, Rio Mulya; Satrio, Teguh; Haryono, Wasis; Suryadi, Suryadi; Widiyatmoko, Bambang; Setiono, Andi
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1439

Abstract

Tujuan penelitian ini adalah untuk merancang dan mengembangkan sebuah aplikasi berbasis teknologi yang mampu melakukan pemantauan dan prediksi kualitas air sungai secara otomatis dan real-time. Sistem ini menggabungkan teknologi Internet of Things (IoT) dengan algoritma machine learning, yaitu XGBoost Regressor dan Random Forest Classifier, guna meningkatkan akurasi dan efisiensi dalam pengolahan data lingkungan. Permasalahan penurunan kualitas air sungai yang disebabkan oleh pencemaran industri, domestik, dan pertanian menjadi latar belakang utama dari penelitian ini. Data yang digunakan merupakan data historis kualitas air, yang mencakup parameter pH, suhu, dan kekeruhan, dikumpulkan oleh perangkat IoT berbentuk pelampung yang dikembangkan oleh Pusat Riset Fotonika – BRIN. Data tersebut diolah menggunakan algoritma XGBoost Regressor untuk memprediksi nilai parameter air di masa mendatang, dan Random Forest Classifier untuk mengklasifikasikan tingkat kelayakan air seperti Tidak Layak, Cukup Layak, Layak, dan Sangat Layak. Aplikasi ini dikembangkan dalam dua platform, yaitu mobile (menggunakan React Native) dan website (menggunakan React JS), dengan backend Node.js dan database MySQL. Hasil pengujian menunjukkan bahwa sistem mampu memberikan informasi secara akurat, cepat, dan responsif, serta dapat digunakan langsung oleh pengguna untuk pengambilan keputusan. Sistem ini tidak hanya berfungsi sebagai alat monitoring, tetapi juga sebagai sarana edukasi dan pengawasan lingkungan berbasis teknologi digital yang berkelanjutan. Penelitian ini memberikan kontribusi penting dalam pengembangan sistem monitoring lingkungan berbasis data yang adaptif, presisi, dan dapat diakses oleh berbagai kalangan masyarakat.
PENGEMBANGAN TRANSMISI DAYA DENGAN CAHAYA LASER UNTUK SUPLAI DAYA JARAK JAUH PADA SENSOR TILT METER Rodhiah, Salsa Ariani; Harmadi; Widiyatmoko, Bambang
Jurnal Fisika Unand Vol 14 No 5 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.14.5.507-515.2025

Abstract

 This study aimed to develop and test a Power over Fiber (PoF) system as a remote power supply to support the operation of a tilt meter sensor. The sensor is used to detect changes in ground inclination, which serves as an early indicator of landslide potential in disaster prone areas. The tests were conducted using infrared laser diodes with wavelengths of 808 nm and 940 nm as the optical power source. Light from the laser diode was transmitted through multimode optical fiber to the AFBR-POC206L photovoltaic device, which has the ability to convert optical power into electrical power. The test results showed that the photovoltaic device was capable of generating sufficient electrical power to support the operation of the tilt meter sensor and charge lithium polymer batteries. The PoF system successfully provided a stable power supply to operate the tilt meter sensor, demonstrating its ability to meet the power needs of geotechnical devices. This study proves that the PoF system can serve as a reliable and efficient alternative for remote power supply, particularly in geotechnical monitoring applications. Based on the results obtained, the PoF system shows great potential for implementation in various environmental monitoring applications requiring remote power supply.
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.