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All Journal POSITRON Jurnal Fisika Unand Indonesian Journal of Physics (IJP)
Sawita, I Kadek Agus Sara
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Astronomy Computer Science & IT Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Physics

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Application of Unmanned Aerial Vehicles for Micro-Small and Medium Enterprises Agricultural in West Java Sawita, I Kadek Agus Sara; Evita, Maria; Kane, Hansel; Rausyanfikr, Fadhil; Djamal, Mitra
POSITRON Vol 12, No 2 (2022): Vol. 12 No. 2 Edition
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (565.014 KB) | DOI: 10.26418/positron.v12i2.54176

Abstract

Agricultural Micro-Small and Medium Enterprises (MSMEs) play a vital role in maintaining national food security. In terms of sources of economic growth, the agricultural sector is the largest contributor to West Java's economic growth in the first quarter of 2021. The agricultural business sector contributed as much as 0.94%, greater than its contribution in the fourth quarter of 2020 which amounted to 0.39%. MSMEs still have external and internal constraints, especially in terms of financing, product marketing, and lack of access to information. These constraints often hinder MSMEs in developing their business and expanding their market share. From various cases of marketing agricultural MSME products in West Java, it is necessary to implement technology to market agricultural commodities. One of them is a map application, which is useful in providing the location of agricultural MSMEs and how to reach that location from the customer's current location. So that sellers/farmers and buyers can do direct transactions. Therefore, map applications using Unmanned Aerial Vehicles (UAV) can be used as the alternative technology to solve that problem. While, this research only focuses on generating the map. UAV - DJI Phantom 4 Pro has been used in this research to take images at each location of the sample locations. To control the UAV automatically for each mission, it used Pix4D capture flight plans. The data were processed by Agisoft Metashape Professional software. The location of image data collection was carried out in various areas: a building, an open space area and a real small and medium agriculture enterprises location. Two-dimensional maps and 3D maps of these areas have been successfully created. The average RMS error is 0.17 (2.88 pixels) indicating under 1% of the average error.
Alat Deteksi Denyut Jantung Tipe Fingertip dengan Sensor Non-invasif untuk Masyarakat Pedesaan (Studi Kasus Desa Raharja, Banjar, Jawa Barat) Maria Evita; Prihatini, Jihan; Sawita, I Kadek Agus Sara; Kamal, Muhammad; Aprianti, Nur Asiah
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.14.5.500-506.2025

Abstract

Heart disease is one of the most lethal diseases in the world, including in Indonesia. This disease affects both urban and rural populations Lack of access to medical equipment particularly for heart rate detection, is the reason for developing a fingertip-type heart rate device using a cheap and convenient non-invasive sensor. This system consists of an infrared sensor equipped with an analog filter, an operational amplifier and Arduino Uno microcontroller for signal processing, and an LCD for displaying the heart rate. After calibration, this system was tested on 20 participants in Desa Raharja to validate its performance. In two phases of testing, the average accuracy obtained ranged from 3.28% to 8.08% in phase 1, and from 2.89% to 31.73% in phase 2. Most of the results have met the accuracy standards for heart rate detection equipment. The shortcomings of this research allow for further development in future studies.
Analysis of Temperature Sensors in a Volcanic Detection System Muid, Abdul; Sawita, I Kadek Agus Sara; Appriyana, Nazira; Albab, Alfi Nur; Tarigan, Darell Timothy; Kamal, Muhammad; Evita, Maria; Suprijadi, Suprijadi; Djamal, Mitra
Indonesian Journal of Physics Vol 36 No 1 (2025): Vol 36 No 1 2025
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itb.ijp.2025.36.1.1

Abstract

Volcanoes are geological phenomena that can cause significant disasters to human life and the environment, such as eruptions, pyroclastic flows, and lahars. Therefore, early warning systems for volcanoes are crucial to reduce disaster risks and provide sufficient time for evacuation. Monitoring surface temperature and the surrounding air around volcanoes is one of the key parameters in detecting volcanic activity. Temperature increases often serve as an early indication of magmatic activity beneath the surface. This study proposes an early warning system for volcanoes based on temperature sensors integrated with fuzzy logic to monitor volcanic activity in real-time. The system consists of a wireless temperature sensor network based on the Internet of Things (IoT) connected to an IoT platform for data monitoring and analysis. The SHT31D, SHT2X, BME280 and DHT11 sensors are used to measure the ambient temperature, and the temperature data is processed using fuzzy logic methods to detect changes in volcanic activity. The system was tested in both simulation and field environments using sensor node devices consisting of several temperature sensors controlled by a microcontroller. The fuzzy logic algorithm built using 256 rules is able to classify new data from sensor nodes into one of the categories of volcano vulnerability levels, namely “Normal”, “Caution”, “Warning”, or “Evacuate”. This system has the potential to serve as a real-time temperature monitoring tool for volcanoes, supporting disaster mitigation and volcanic activity risk management.
Determining the Hydrogen Sulfide Concentration at Tangkuban Perahu Mount Using TGS-2602 Sensor Putra, Adiyasa Pratama; Alam Purnama, Atra Ardiyanto; Prihatini, Jihan; Adrian, Kristofer; Sawita, I Kadek Agus Sara; Evita, Maria; Djamal, Mitra
Indonesian Journal of Physics Vol 36 No 1 (2025): Vol 36 No 1 2025
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itb.ijp.2025.36.1.4

Abstract

Indonesia is a country with numerous volcanoes which are a great hazard to people living in surrounding areas. As a result, eruption predictions and pre-emptive warnings are extremely important. In mount Tangkuban Perahu in particular, hydrogen sulfide is abundantly produced. By detecting hydrogen sulfide levels, volcanic activities in Tangkuban Perahu can be predicted and early warnings can be released to alert the people in the area. To obtain a reading of the concentration of hydrogen sulfide we use the TGS 2602 gas sensor equipped with Arduino to process the readings and ESP-32S to connect the system to IOT. This sensor system is equipped on a mobile robot which had been developed in previous research. Through field experiments, we have determined that our system has successfully obtained the readings of hydrogen sulfide in various parts of the day. Our readings showed that mount Tangkuban Perahu is safe and stable throughout the day with none of the average hydrogen sulfide reading in the morning, afternoon, and evening exceeding 0.3 ppm.
Co-Authors Abdul Muid Adrian, Kristofer Alam Purnama, Atra Ardiyanto Albab, Alfi Nur Appriyana, Nazira Aprianti, Nur Asiah Evita, Maria Kane, Hansel Maria Evita Mitra Djamal Muhammad Kamal Prihatini, Jihan Putra, Adiyasa Pratama Rausyanfikr, Fadhil Suprijadi Suprijadi Tarigan, Darell Timothy