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Journal of Geographical Sciences and Education
Published by PT Pubsains Nur Cendekia
ISSN : -     EISSN : 30319471     DOI : -
Core Subject : Science, Education,
Astronomy Education
Journal of Geographical Sciences and Education is a journal publishes original research, review, and short communication (written by researchers, academicians, professional, and practitioners) which utilizes geographic and environment approaches (human, physical landscape, nature-society and GIS) to resolve human-environment interaction problems that have a spatial dimension. The Journal of Geographical Sciences and Education (JoGSE) covers the following areas: 1. Physical Geography: Spatial dimension on the earth’s surface, climate, soil, landform, and water; 2. Human Geography: Spatial dimension on economic, urban, social, and cultural issues; 3. Geographic Information Systems, Remote Sensing, and these applications; 4. Environmental change, environmental education, environmental monitoring, and waste management; 5. Geography Education; 6. Disaster Risk Reduction. It is published four times a year in March, June, September, and December.
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Geofisika
Articles 72 Documents
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Analisis Neraca Air dan Lahan untuk Menentukan Pola Tanam dan Jadwal Penanaman Kentang di Wilayah Pasuruan Naufal Ilham Habibi; Ania Maulidiah Nisa
Journal of Geographical Sciences and Education Vol 4 No 2 (2026): Journal of Geographical Sciences and Education
Publisher : PT. Pubsains Nur Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69606/geography.v4i2.495

Abstract

Pasuruan Regency, with 213,686 farmers and a population growth rate of 0.4–1% annually, faces an urgent need for a stable food supply due to fluctuating potato prices and stock levels linked to unplanned planting. This study aims to identify optimal potato planting patterns and schedules using the Thornthwaite-Mather water balance method, based on monthly rainfall data. The Oldeman climate classification revealed five climate types in Pasuruan: C2, D2, D3, D4, and E, influenced by monsoon patterns affecting soil water availability. Soil moisture levels are suitable for potato planting from January to March, decrease from May to October, and increase again in November. The western region (Pasuruan city) tends to be drier, with a longer dry season. The resulting planting schedule recommendations are as follows: climate type C2 (first planting season: November–February; second planting season: March–June), D2 (first planting season: December–March), D3 (first planting season: January–April), and D4 and E (first planting season: February–May), to support the stability of potato production and food security in Pasuruan on a sustainable basis.
Deteksi Tumpahan Minyak Menggunakan Sentinel-1A Synthetic Aperture Radar dan Adaptive Threshold di Perairan Lhokseumawe Alvin Anugrah Putra; Dela Oktaviani; Rizqia Rahmah Nurul Syifa; Silmi Afina Aliyan; Achmad Fadhilah
Journal of Geographical Sciences and Education Vol 4 No 2 (2026): Journal of Geographical Sciences and Education
Publisher : PT. Pubsains Nur Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69606/geography.v4i2.518

Abstract

Oil spills represent a major form of marine pollution that poses serious threats to coastal ecosystems and human activities. This study aims to detect and analyse the spatial distribution of the oil spill in Lhokseumawe waters using Sentinel-1A Synthetic Aperture Radar (SAR) imagery with software SNAP. The dataset used consists of Sentinel-1A SAR imagery acquired on 24 April 2022 with Interferometric Wide Swath mode and VV polarisation. Oil spill detection was performed using an adaptive thresholding approach through the Oil Spill Detection Tool. The oil spill was identified as a dark area with low backscatter values forming elongated and fragmented patterns influenced by ocean currents and wind conditions. Variations in the threshold shift values produced different estimated extents of the oil spill, namely 36.86 km² at the 1.0 dB threshold, 12.82 km² at the 2.0 dB threshold, and 4.61 km² at the 3.0 dB threshold. Although potential false detections may occur due to look-alike phenomena, this study demonstrates that Sentinel-1A SAR imagery is effective for monitoring oil spills in coastal waters.

Page 8 of 8 | Total Record : 72

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