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All Journal International Journal of Renewable Energy Development Journal of Degraded and Mining Lands Management JOIV : International Journal on Informatics Visualization Al Ishlah Jurnal Pendidikan Emerging Science Journal JURNAL INTEGRASI JURNAL PENDIDIKAN TAMBUSAI Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Sainstek : Jurnal Sains dan Teknologi Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Pillar of Physics Education : Jurnal Berkala Ilmiah Pendidikan Fisika Pillar of Physics: Jurnal Berkala Ilmiah Fisika JIFP (Jurnal Ilmu Fisika dan Pembelajarannya) MASALIQ: Jurnal Pendidikan dan Sains Georest: Geoscience, Remote Sensing, and Technology Gudang Jurnal Multidisiplin Ilmu International Journal of Renewable Energy Development
Pakhrur Razi
Universitas Negeri Padang
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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Journal : Georest: Geoscience, Remote Sensing, and Technology

 1 
SLOPE OBSERVATION OF THE PADANG SOLOK ROAD AREA BASED ON RADAR DATA Marsa, Indira; Razi, Pakhrur; Akmam; Nishi, Katsunoshin
Georest Vol. 2 No. 1 (2024): Georest
Publisher : EarthCare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57265/georest.v2i1.21

Abstract

The Padang Solok route topographically has a geological structure that is prone to steep slopes, so it has a high level of disaster risk, one of which is shifting soil and causing landslides. Slope is one of the factors that cause landslides, the purpose of this study is to determine the slope that is prone to landslides. However, slope information needs to be known the slope, and we can know the percentage and degree by mapping using satellite radar SAR (Syntetic Aperture Radar) technology, which is an effective choice for detecting the earth's surface in the Padang-Solok area with SRTM data taken in the area. Processed by observing the slope of the area and then analyzing the landslide area. SAR radar satellite technology allows monitoring of landslide-prone areas with high accuracy, and wide area coverage, operating day and night. This slope is a comparison of height in the form of the vertical distance of a land with its horizontal distance. The amount of slope can be expressed in several units, including percent and degree. Spatial information on slope describes the condition of the land surface, such as a flat, gentle, or steep slope. The Padang-Solok route includes steep slope areas with the highest slope of 7,9 to 40,8 and in percentage 13,80% to 90,10%, classified as steep and steep slope. Areas with steep slopes have a greater potential for landslides than those with moderate slopes, in addition to increasing the amount of surface flow. So the steeper the slope, the greater the velocity of surface flow, and thus the greater the water transport energy.
Analysis of Extreme Rainfall in Padang Using GSMaP Satellite Imagery: Case Study of the July 2023 Flood : Approach Using GSMaP Satellite Data Rozi, Hanifsyah; Razi, Pakhrur; Amir, Harman; Sudiar, Nofi Yendri; Rinadi, Aulia
Georest Vol. 2 No. 2 (2024): Georest (In Press)
Publisher : EarthCare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57265/georest.v2i2.32

Abstract

Extreme rainfall is a major cause of major flooding in coastal areas, such as Padang, Indonesia. This study analyzes the extreme rainfall event that caused the Padang flood on July 14, 2023 using rainfall data from the Global Satellite Rainfall Mapping system (GSMaP). The aim is to evaluate the spatial and temporal distribution of rainfall during the event and assess the accuracy of GSMaP satellite imagery in capturing the heavy rainfall that caused the flooding. GSMaP satellite data were processed to examine the intensity and distribution of rainfall from July 13, 2023 to July 14, 2023. The analysis showed that rainfall occurred evenly over the entire Padang area, with a peak rainfall intensity of 20-99 mm/day on July 13 and a much higher intensity of 145-434 mm/day on July 14, as recorded by ground-based rain stations. The peak rainfall on the first day occurred at 14:00 UTC, and on the second day at 00:00 UTC. Although GSMaP effectively captured the large-scale rainfall pattern, differences were seen in the local intensity. This continuous rainfall causes severe waterlogging, which then escalates into flooding, which is classified as extreme rainfall. These findings demonstrate the utility of GSMaP in monitoring extreme rainfall, especially in areas with limited ground-based observation infrastructure, and emphasize the role of satellite data in improving early warning systems and flood management strategies in flood-prone areas such as Padang.
IoT-based Clothesline Monitoring and Control System Design with Smartphone Display Rena Ramadhani Putri; Pakhrur Razi
Georest Vol. 2 No. 1 (2024): Georest
Publisher : EarthCare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57265/georest.v2i1.25

Abstract

Indonesia is geographically located on the equator and has two seasons: the rainy season and the dry season. The current global warming has made the weather erratic, making the dry and rainy seasons unpredictable. This is a problem for people who want to dry clothes. To overcome this problem, an automatic control system is needed that can be monitored remotely via Smartphone. This research, with the title Designing an Automatic Clothesline Tool Based on the Internet Of Things, this tool is designed as an automatic control system for clothespins that can be monitored via smartphone remotely, so people don't have to worry about leaving the clothesline. This tool uses NodeMCU Esp32 and uses a rain sensor to detect weather conditions. DC motor is used to move the clothesline in or clothesline out which is controlled by a motor driver. Limit Switch to provide feedback that the clothesline has entered or the clothesline is out.
Co-Authors A Arifin Abdullah Nur Aziz Abdullah Nur Aziz Addriani, Ranti Adi Suryadi Adree Octova Aisyah Salsabila Dwi Ananda Akmam Akmam Akmam Amali Putra Amalia Putri, Amalia Aminuddin, Jamrud Andika, Heru Anofa Liona Arief Muttaqiin Arifin, A Asrizal Bahri, Aliefa Zunaida Bilalodin Bilalodin Fadila, Husnul Farzand Abdullatif fitri mairizki Gautama, Mohammad Isa Genov Zulmartin Hamdi Hamdi Hamdi Handayani, Sri Gusti Hapsoro, Cahyo A. Harman Amir Hidayati Hidayati Husna, Rahmi Juita Husnul Kausarian Ifdil Ifdil Izumi, Yuta Jamrud Aminuddin Josaphat Tetuko Sri Sumantyo Komaini, Anton Lahara Yanuarsi Marsa, Indira Marzuki Marzuki Mega Oktisa Melnix, Frennadito Muhammad Bohori MUHAMMAD YUSUF Mukhtar Effendi Mukhtar Effendi Mutya Vonnisa Nishi, Katsunoshin Nofi Yendri Sudiar Nofi Yendri Sudiar Nurhayati Nurhayati Nurhayati Nurhayati Putri Aulia R Farzand Abdullatif rahmi juita husna Ramadhan, Ravidho Rena Ramadhani Putri Revielni Sandra Rinadi, Aulia Rozi, Hanifsyah Saputri, Deby Yeriza Silfi sutri Insani Sri Wahyu Hidayati Sunardi Sunardi Sunardi Sunardi Thamrin Thamrin Widia Mai Yetri Widiyani, Agustina Wihantoro Wihantoro Wihantoro Wihantoro Yanfatriani, Elsa Yanuar Kiram Yasmin, Putri Yendri Sudiar, Nofi Yenni Darvina Yohandri Bow Yoszi Mingsi Anaperta Yusefarina Yusefarina Yusnaini, Helmi Zakaria, Jaffri Bin Zulazhari Zulhendra Zulhendra Zulhendri Kamus