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All Journal International Journal of Electrical and Computer Engineering Indonesian Journal of Geography Jurnal Ilmu Dasar POSITRON Jurnal Sains Materi Indonesia Jurnal Sains dan Teknologi Nuklir Indonesia (Indonesian Journal of Nuclear Science and Technology) JOURNAL AGRIBUSINESS Jurnal VOK@SINDO Journal of Mathematical and Fundamental Sciences Journal of Engineering and Technological Sciences JFA (Jurnal Fisika dan Aplikasinya) Jurnal Spektra JOURNAL ONLINE OF PHYSICS Science and Technology Indonesia JOIV : International Journal on Informatics Visualization Journal of Science and Applicative Technology Neutrino Jurnal Otomasi Kontrol dan Instrumentasi Jurnal Ilmu Fisika JURNAL METEOROLOGI DAN GEOFISIKA Jurnal Review Pendidikan dan Pengajaran (JRPP) Risalah Fisika Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi Sainstek : Jurnal Sains dan Teknologi Community Development Journal: Jurnal Pengabdian Masyarakat Pillar of Physics: Jurnal Berkala Ilmiah Fisika PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Indonesian Journal of Physics (IJP) Newton-Maxwell Journal of Physics Journal of Engineering and Technological Sciences
Mitra Djamal
Institut Teknologi Bandung
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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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.
Object Distance Detection System with Ultrasonic Sensor on Mobile Robot Ramdhani, Adrian Pandjie; Ramadan, Hafiz Arshad; Permatasari, Indah; Abi Hanafi, Aliif Fahrur; Sara Sawita, I Kadek Agus; 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.2025.36.1.2

Abstract

Indonesia is home to 76 active volcanoes, one of them being Mount Tangkuban Perahu. To ensure that a robot that can move around to collect data does not get stopped in its tracks, HC-SR04 ultrasonic sensors are used to detect obstacles within 100 cm. The sensors were first characterized by measuring distances between 10 and 100 cm with an increment of 10 cm. They were then tested in a laboratory environment with differing conditions. Finally, they were tested on Mount Tangkuban Perahu. Characterization shows that, within 100 cm, one of the two sensors had good linearity, while the other showed larger error values. This difference in performance carried onto the laboratory scale test and the field test.
Seismic Frequency Analysis of Mount Tangkuban Parahu Using IoT-Based MPU6050 Sensor System Almazari, Abar; Faradyba, Anggi; Akbar, Reyhan Nugraha; Sawita, 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.2025.36.1.3

Abstract

Indonesia is located at the convergence of three major tectonic plates—the Eurasian Plate, the Indo-Australian Plate, and the Pacific Plate—and lies within the Pacific Ring of Fire, making the country highly prone to seismic activity. Thus, seismic activity is one of the physical parameters used to define the status of a volcano. Consequently, the availability of affordable and accessible early earthquake detection systems is crucial to minimizing infrastructure damage and human casualties. One proposed solution involves the use of the MPU6050 sensor, which is capable of detecting ground acceleration. This sensor has been integrated and installed on a mobile robot for volcano monitoring, which was developed in previous research. In this study, the Fast Fourier Transform (FFT) is employed to convert ground acceleration data into ground frequency, which can then be used to assess seismic activity. Additionally, an ESP32 microcontroller is utilized to collect and process sensor data, which is automatically transmitted via a broker, allowing frequency data and seismic status to be visualized on a dashboard. This research aims to compare acceleration data collected in a laboratory setting (ITB campus) and in the field (Mount Tangkuban Parahu), measure ground vibration frequency at Mount Tangkuban Parahu, and determine the seismic activity status based on the ground vibration frequency at Mount Tangkuban Parahu.
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.
Design of Object Detection System for Tangkuban Parahu Volcano Monitoring Application Evita, Maria; Mustikawati, Sekar Tanjung; Srigutomo, Wahyu; Meilano, Irwan; Djamal, Mitra
Journal of Engineering and Technological Sciences Vol. 56 No. 5 (2024)
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2024.56.5.3

Abstract

Indonesia has 127 active volcanoes, which have to be monitored continuously in normal, eruption, or after-eruption conditions, to minimize the effects of disaster. Therefore, we have developed a four-wheeled mobile robot for both exploration and monitoring of volcanoes. To finish its mission on uneven terrain full of obstacles, the robot should be able to detect and avoid these obstacles. Therefore, real-time object detection was designed using the YOLOv5s deep learning algorithm, which was implemented on a Raspberry Pi3 for the front camera of the robot. Before it was tested on a real volcano, the model of the algorithm was trained to be able to detect obstacles. The dataset was trained with three variations of epochs (100, 300, and 500) in sixteen batches of YOLOv5s. The last variant yielded the best results, at 63.4% mAP_0.5 and 40.4% mAP_0.5:0.95, with almost zero loss. This model was then implemented on a Raspberry Pi3 to detect trees and rocks captured by camera on Tangkuban Parahu Volcano. Most of the trees and rocks were successfully detected, with 90.9% recall, 79.9% precision, and 91.5% accuracy. Furthermore, the detection error was low, as indicated by low FP and FN numbers.
Determining Forest Fire Position from UAV Photogrammetry using Color Filtration Algorithm Muid, Abdul; Evita, Maria; Aminah, Nina; Budiman, Maman; Djamal, Mitra
JOIV : International Journal on Informatics Visualization Vol 6, No 4 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.4.956

Abstract

Forest fires frequently happen worldwide, especially in the dry season. A forest fire early warning system (EWS) is needed to prevent this disaster. The main part of EWS is the hotspot detection system. On the other side, Unmanned Aerial Vehicle (UAV) technology offers an alternative solution to detect the hotspot for poor satellite image processing accuracy. Remote sensing techniques with UAV working drones are progressively challenging. Drones can provide results in 2D and 3D images with high resolution and real-time. Therefore, in this research, we have used a photogrammetry application from the number of images collected by a UAV with an optimum flight plan for the mission to determine the location of the forest fire. This paper describes remote sensing experiments using drones to detect land fires. The experiment was carried out using a quadcopter drone of the DJI Phantom 4 Pro. The photos are processed using Agisoft Metashape Professional image processing software and become a 2D image. These images captured a fire simulation in a known location. After a high resolution (GSD – Ground Sampling Distance – 0.87cm/px) orthophoto had been generated, a color filtration algorithm detected a hotspot to detect a fire at the exact location. The results are almost zero deviation of longitude and latitude from the real location with 1.44 m2 and 1.06 m2 fire area from 2 experiments. This algorithm program has TPR and FPR are 0,78 and 0, respectively. Further research can develop an EWS with a combination of UAV and Wireless Sensor Networks.
Co-Authors Abdul Muid Abdul Waris Abi Hanafi, Aliif Fahrur Achmad, Fariz Aditya Alviori Adrian, Kristofer Ahmad Aminudin Akbar, Reyhan Nugraha Alam Purnama, Atra Ardiyanto Alamta Singarimbun Albab, Alfi Nur Almazari, Abar Ambran Hartono Aminah, Nina Siti Appriyana, Nazira Ari Setiawan Ashadi Amir Azizah Ghina Arifah Bergita Gela M. Saka Buchari Buchari Costrada, Aldo Novaznursyah Cut Novianti Rachmi, Cut Novianti Dadang Dadang Danang Trihatmoko, Danang Daniel Kurnia Daryono Hadi Tjahyono Dasapta Erwin Irawan, Dasapta Erwin Deddy Kurniadi Deny Juanda Puradimaja Dhani Herdiwijaya Dhani Herdiwijaya Emanuel Sungging Mumpuni Evita, Maria Faradyba, Anggi Fatahah Dwi Ridhani Fitrilawati Fitrilawati Freddy Haryanto H Mahfudz Hafizh Prihtiadi Harapan Marpaung Harmadi Harmadi Hendro Hendro Hendro Hendro Hendro Hendro Herlan Darmawan Herman Bahar Hong Joo Kim Hufri Hufri Husein H I Kadek Agus Sara Sawita I Made Astra Iful Amri Imam Suyanto Imam Taufiq Indah Permatasari Inggi Dwi Putri Irninthya Nanda Pratami Irwan irwan meilano Irzaman, Irzaman Ismail Rizka Pambudi Ivan Limansyah Jakrapong Kaewkhao Jayawarsa, A.A. Ketut Juneman Abraham Juniastel Rajagukguk Juniastel. R Kane, Hansel Khairurrijal Khairurrijal Kim, Hong Joo Kumalasari, Ratih Lia Yuliantini Lia Yuliantini Linus Pasasa M. Barmawi Maman Budiman Maria Evita Maria Evita Martin Liess Martin Liess Melany Febrina Moch Tanzil Multazam Moh Yasin Muhammad Kamal Mukhlizar, Mukhlizar Mukti, Rino Rakhmata Mulyaningsih, Indrya Murhaban Mustikawati, Sekar Tanjung Ni Ketut Lasmia Nina Aminah, Nina Nina Siti Aminah Nur Ismirawati, Nur Prihatini, Jihan Putra, Adiyasa Pratama Putra, Heriansyah R. N. Setiadi Rahmat Hidayat Rahmat Hidayat Rahmondia N. S Rahmondia N. Setiadi Rahmondia Nanda Ramadan, Hafiz Arshad Ramdhani, Adrian Pandjie Ramli Ramli Ramli Ramli Rausyanfikr, Fadhil Retna Apsari Riko Rakhmat Sanjaya, Yogie Sara Sawita, I Kadek Agus Sari, Mona Berlian Sari, Mona Berlian Satria, Eko Sawita, Agus Sara Sawita, I Kadek Agus Sara Siti Aminah, Nina Sony Wardoyo Sparisoma Viridi Suparno Satira Suprijadi Suprijadi Suprijadi Suprijadi Suprijadi Suprijadi Suryanto, Wiwit Suyatno Suyatno Suyatno, Suyatno Tarigan, Darell Timothy Thomas Djamaluddin Togar Saragi Tri Siswandi Syahputra Umiatin, Umiatin Wahyu Srigutomo Wahyudi Wahyudi Widyaningrum Indrasari Wilson Jefriyanto Wirawan Wirawan Wirawan, Rahadi Yudi Nugraha Yuliantini, Lia Yulkifli Yulkifli Yulkifli Yulkifli Yulkifli Yulkifli Yulkifli Yulkifli Yusaku Fujii Zaki Suud Zannuraini Zannuraini Zul Anwar