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All Journal Spektra: Jurnal Fisika dan Aplikasinya Indonesian Physical Review
Annisa, Risa
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Aerospace Engineering Education Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Physics

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Seismometer Health Diagnosis Based on Cross Spectral Density Coherence Method in Indonesia Seismic Networks Jannah, Miftahul; Annisa, Risa; Saputro, Adhi Harmoko; Lestari, Titik
Spektra: Jurnal Fisika dan Aplikasinya Vol. 9 No. 3 (2024): SPEKTRA: Jurnal Fisika dan Aplikasinya, Volume 9 Issue 3, December 2024
Publisher : Program Studi Fisika Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/SPEKTRA.093.05

Abstract

Evaluation of seismometer health is crucial in accurately detecting earthquake and tsunami events. Currently, seismometer health evaluation is based solely on data quality unrelated to seismometer sensor performance. While seismometers are essential for tracking seismic activity, environmental factors, aging components, and external interference can cause seismometers to function worse over time. This study presents a seismometer health diagnosis technique based on seismic signal analysis, including signal truncation, signal resampling, filtering, and deconvolution of instrument response. Then the proposed method of cross-spectral density coherence to extract seismometer sensor health indicators performed on two adjacent broadband seismic stations by analyzing the frequency domain with a maximum inter-station distance of 100 km. The data used are seismic signals recorded on three-component seismometers (North-South, East-West, Z-Vertical). The coherence value of cross-spectral density is used as an indicator to diagnose seismometer health. The proposed method was evaluated on a seismic network in Indonesia consisting of 88 stations and a teleseismic earthquake event in Honshu, Japan. The coherence values of almost all tested stations are above 0.8, which means good performance. The proposed method is suitable for analyzing the health of seismometers, especially in Indonesia.
DESIGN OF AN AUTOMATIC HANDWASHING TOOL USING INFRARED SENSOR BASED ON ARDUINO NANO IN PHYSICS DEPARTMENT OF SRIWIJAYA UNIVERSITY Annisa, Risa; Saleh, Khairul; Bahtiar, Muhammad Rizki; Rodzikin , Arifu Rahman Bastari
Indonesian Physical Review Vol. 7 No. 2 (2024)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v7i2.270

Abstract

The implementation of the New Normal forces people in Indonesia to be able to return to their activities outside the home, alongside the risk of the COVID19 outbreak. One of the health protocols that must be applied is hand washing, so that the use of automatic hand washing devices is very effective in use. The way this automatic hand washing tool works is simply pointing your hand near the sensor, the sensor will detect it. The Automatic Hand Washing Tool is designed using a sensor Infrared, Arduino nano, a module Relay, a water pump and a solenoid faucet. Where is the working principle when thesensor infrared detects an obstacle, it will send an input signal to arduino nano as a microcontroller center which is regulated through a program in the Arduino Ide software, then sends it to themodule relay as answitch on / off, When on it is, themodule relay will activate the solenoid faucet, if it is in thecondition off , the relay will deactivate the solenoid valve, while the pump is used for washing soapy water, where the automatic hand washing tool on water with soapy water is differentiated according to the respective distance that has been set on the arduino nano microcontroller.
DESIGN OF CARBON MONOXIDE (CO) MEASUREMENT TOOL USING SIM900A AND SOLAR PANEL BASED ON WEMOS D1 MINI Annisa, Risa; Saleh, Khairul; Bahtiar , Muhamad Rizki; Muallifah, Naqiyatun
Indonesian Physical Review Vol. 7 No. 3 (2024)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v7i3.318

Abstract

With abundant natural resources, East Kalimantan has a major environmental issue: forest fires. Several cases in East Kalimantan currently garner pros and cons regarding relocating Indonesia's new capital to the region. Fires in peatlands are usually dominated by smoldering processes, resulting in the highest emissions of carbon monoxide (CO) particles. Carbon monoxide gas is odorless, colorless, and tasteless, making it difficult to detect, yet highly toxic, and can cause illness in humans. Considering the dangers caused by CO gas, this research aims to create a CO gas detector to determine air pollution conditions in the environment. This research uses an MQ-7 sensor to detect CO gas, where the data is processed into parts per million (ppm), Wemos D1 Mini as the microcontroller, and SIM900A module as the data transmitter to the website. The system uses solar panels to fulfill its power needs independently. The device's characteristics can measure CO levels ranging from 51.55 to 907.61 ppm with an average accuracy rate of 95.10% and precision of 97.18%. The model performed well overall.
Co-Authors Adhi Harmoko Saputro Bahtiar , Muhamad Rizki Bahtiar, Muhammad Rizki Khairul Saleh Miftahul Jannah Muallifah, Naqiyatun Rodzikin , Arifu Rahman Bastari Titik Lestari