Article Per Year (5 Year)
p-Index From 2021 - 2026
2.75
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Lingkungan Jurnal Pendidikan Geografi Undiksha BANGUN REKAPRIMA Accounting Analysis Journal JOIV : International Journal on Informatics Visualization Surya Abdimas Jurnal Ilmiah Edunomika (JIE) Al-Kharaj: Journal of Islamic Economic and Business Community Development Journal: Jurnal Pengabdian Masyarakat Journal Of Human And Education (JAHE) Jurnal Penelitian dan Karya Ilmiah Lembaga Penelitian Universitas Trisakti International remote sensing application journal West Science Journal Economic and Entrepreneurship Jurnal Pengabdian dan Inovasi Masyarakat
Purnamasari, Eva
Unknown Affiliation
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 21 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : International remote sensing application journal

 1 
UTILIZING GOOGLE EARTH ENGINE FOR FLOOD-PRONE AREAS USING THE THRESHOLD METHOD IN PASAMAN REGENCY, WEST SUMATRA PROVINCE: English Q-to Paguno, Ananda; Arif, Dian Adhetya; Edial, Helfia; Purnamasari, Eva
International Remote Sensing Applied Journal Vol. 6 No. 2 (2025): Vol. 6 No. 2 (2025): International Remote Sensing Application Journal (December
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v6i2.84

Abstract

This study aims to utilize Google Earth Engine and Sentinel-1 image data to map flood areas using the Threshold method, which is expected to provide accurate information to support flood mitigation and management in the Pasaman region. This study also aims to determine the results of the area affected by disaster-prone areas. Based on the results of the study, researchers have obtained a flood hazard map in 2024 in Pasaman Regency by processing Sentinel-1 image data using the Threshold algorithm which has produced an area in the Vulnerable classification with an area of ​​4,225 Ha, a Moderately Vulnerable classification with an area of ​​9,102 Ha and a Safe classification of 3,818 Ha for Pasaman Regency. From the results of data processing for the flood hazard map in Pasaman Regency, it can be concluded that in 2024 Pasaman Regency experienced quite vulnerable floods.
THE MAPPING OF TEA HARVESTING AREA USING PLANETSCOPE IMAGERY Prihantarto, Wikan Jaya; Ismail, Muhammad; Purnamasari, Eva; Anggraini, Kurnia; Putri, Erisa Ayu Waspadi; Frananda, Hendry; Setiawati, Indah
International Remote Sensing Applied Journal Vol. 6 No. 2 (2025): Vol. 6 No. 2 (2025): International Remote Sensing Application Journal (December
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v6i2.95

Abstract

The identification of tea harvesting areas is an important part of tea culture. The use of satellite imagery for this application offers effectiveness. PlanetScope imagery has the advantage of high spatial, spectral, and temporal resolution and is widely used in agricultural and plantation studies. The objective of this study was to map tea pruning areas in the Danau Kembar Tea Plantation, Solok Regency, West Sumatra, using PlanetScope imagery. The images underwent radiometric, geometric correction and were then analyzed spectrally using the Normalized Difference Vegetation Index (NDVI) to obtain tea vegetation density classes. The image map resulting from this classification was used to identify the spatial distribution of harvesting and non-harvesting areas. The mapping results were validated by field surveys, and accuracy calculations were performed using the confusion matrix method. The findings showed that 250.50 hectares or 90.37% of the study area, are harvesting areas, with mapping accuracy reaching 84.0%. This study can provide an important reference for monitoring plantation land management, production estimation, and tea harvesting.
Co-Authors - FACHRURROZIE Afandi, Adam Akmal, Firdaus Alfiana Alfiana Amaliyah, Erlina Dewi Endah Amelia, Intan Eka Anantadjaya, Samuel PD Anggraini, Kurnia Arif Nasution, Abdillah Asep Supriadi Ayuwardani, Mellasanti Azizah Azizah Bagus Yunianto Wibowo, Bagus Yunianto Bagus, Muhamad Ikhwan Bayu Setyo Nugroho, Bayu Setyo Bigharta Bekti Susetyo Budi Prasetya Budi, Rahmad Setio Dian Adhetya Arif Endah Purwaningsih Erisa Ayu Waspadi Putri Eviyanti, Novitasari Hadi Prayitno Hafid, Samsudin A. Hasyim, Fatchun Helfia Edial Hendry Frananda, Hendry Hidayatullah, Muhamad Faqih Hidayatullah, Muhammad Faqih Idyaningsih, Nining Indah Setiawati Jasmin, Jasmin Judijanto, Loso Juliani Pudjowati Karim, Sukri Karnowahadi, Karnowahadi Lestari, Dwi Fajar Luthfia, Irin Mirrah Marhaeni, Sri Muhammad Ismail Muhammad Kamal Nanang Adie Setyawan Nasution, Rizki Alfadilah Nawangwulan, Irma M Nova, Sari Nuraini Nuraini Nurina, Lia Pramaditya Wicaksono, Pramaditya Pramesti, Gilda Pratama, Wilson Candra Teguh Pratiwi, Mona Inayah Prihantarto, Wikan Jaya Q-to Paguno, Ananda Ramadhan, Al Fath Safitri, Maristia Cahya Salsiyah, Sri Marhaeni Sasono, Heri Sekarmelati, Sonea Valensita Siregar, Nurganda Subandi Subandi Sugianto, Efendi Sugiyanta Sugiyanta Sugiyanta Sulistiyani, Endang Suroija, Noor Suroso, Adi Suseno, Bambang Dwi Sutriani, Widia Suwarni, Wa Ode Vratiwi, Septiana Widiasih, Suprapti Widyanti, Dika Vivi Wiedayanti, Destine Fajar Wirabumi, Putu Wulandari, Endang Yabioktabera, Amran Yudi Antomi, Yudi Zaenuddin, Achmad