cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Novelisa Suryani
Contact Email
novel2813@gmail.com
Phone
+62751-40020
Journal Mail Official
ojs.azimut@unitas-pdg.ac.id
Editorial Address
Jl. Tamansiswa No.9 Padang (25138), Sumatera Barat-Indonesia Telp. (0751) 40020
Location
Kota padang,
Sumatera barat
INDONESIA
Jurnal Azimut
Published by Universitas Tamansiswa Padang
ISSN : -     EISSN : 26565226     DOI : 10.31317
Core Subject : Science, Social,
Earth & Planetary Sciences Environmental Science Social Sciences
The Azimut Journal is a geography scientific journal published by the Geography Study Program at Universitas Tamansiswa Padang. The Azimut journal focuses on the interdisciplinary field of geography including Geographic Information Systems (GIS), remote sensing (PJ), social geography, disaster, environment, weather and climate, coasts and watersheds, as well as regional planning and development. Focus and Scope Geographic information systems Human geography Remote sensing Coastal and watersheds Environmental geography Climatology and meteorology Disaster Regional and Development Planning
Arjuna Subject : Ilmu Sosial - Geografi, Perencanaan dan Pengembangan
Articles 5 Documents
 1 
Search results for , issue "Vol 4 No 2 (2022): Volume 4, No.2" : 5 Documents clear
ANALISIS SPASIAL SEBARAN TINGKAT KEKRITISAN LAHAN DI SUB DAS BIYONGA KABUPATEN GORONTALO Sri Rahayu Ayuba
Jurnal Azimut Vol 4 No 2 (2022): Volume 4, No.2
Publisher : Universitas Tamansiswa Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31317/jaz.v4i2.854

Abstract

This research was conducted in the Biyonga Sub-watershed of Gorontalo Regency. The purpose of this research is to look spatially at the level of land criticality in the Biyonga Sub-watershed and see the effect of the effective depth of the soil. This study uses scoring and overlay methods with the help of Geographic Information Systems. The results showed that the Biyonga Sub-watershed has four land criteria including Critical Potential with an area of ??170.7 Ha, Somewhat Critical 4048 Ha, Critical 2396 Ha and Very Critical 2300.4 Ha which influence on the effective depth of the land based on field measurements marked on the land very critical and critical with the condition of the effective depth of relatively shallow soils that is between 60-30 cm.
Kajian Morfodinamika Muara Sungai Batang Masang Kecamatan Kinali Dengan Memanfaatkan Sistem Penginderaan Jauh Sendra Saputra; Novelisa Suryani; Heny Mariati
Jurnal Azimut Vol 4 No 2 (2022): Volume 4, No.2
Publisher : Universitas Tamansiswa Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31317/jaz.v4i2.836

Abstract

The purpose of this research was to analyze the land use change and identify the morphodynamics of the coastline at estuary in Batang Masang River from 2015 to 2021. These changes determined through remote sensing by utilyzing sentinel-2 satellite imagery in 2015 and 2021. Land use change known by using supervised classification with the maximum likelihood classification method. Meanwhile, to determine the morphodynamics of the coastline, doing by digitization on screen land use map based on the lowest tide from the bathymetry map. This study obtained results in form the largest change land use the addition of open land area of 27.64 ha, then followed by a reduction in forest land area of 12.26 ha, while the smallest change land use was the reduction of scrub was 7.73 ha (1.79 %). Furthermore, there was a reduction in the length of the coastline, namely 0.43 km, abrasion of 9.68 ha and accretion of 11.52 ha occurred. Thus the most dominant morphodynamics process in the Batang Masang River estuary is influenced by sea waves and river discharge.
KAJIAN DAS AIR DINGIN DITINJAU DARI PERUBAHAN TUTUPAN LAHAN TAHUN 2008 - 2021 Muhammad Fajri; Hary Febrianto; Novelisa Suryani
Jurnal Azimut Vol 4 No 2 (2022): Volume 4, No.2
Publisher : Universitas Tamansiswa Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31317/jaz.v4i2.837

Abstract

This research was conducted in the Air Dingin watershed of West Sumatra which aim calculating changes of land cover area in Air Dingin watershed (2008 – 2021). To determine land cover changes using maximum likelihood classification by utilizing Arc Map 10.8. It can classify land cover change and Microsoft Excel software to calculate land cover change. The result shows that the landcover change of Air Dingin Watershed in 2008 - 2021 largest increase in the shrub area by 392.60 ha (3.1%) and followed by dry land agriculture which increased 215.18 ha (1.7 %), building area increased by 148.68 ha (1.2%), mixed gardens by 16.94 ha (0.1%). The increase in land area will be followed by a reduction in land cover, which has the largest decrease in forest area, namely 635.58 ha (5.0%), followed by a decrease in paddy fields of 129.25 ha (1.0%) , waters decreased by 8.57 ha (0.1%).
Studi Provenance Endapan Pasir Sungai Budong-budong, Kabupaten Mamuju, Provinsi Sulawesi Barat Herni Suryani; Ratna Husain
Jurnal Azimut Vol 4 No 2 (2022): Volume 4, No.2
Publisher : Universitas Tamansiswa Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31317/jaz.v4i2.841

Abstract

The reseach area administratively located in Budong-budong District, Mamuju Regency, West Sulawesi Province. The purpose of this study is to determine the provenance of sand sediments at Budong-budong River based on petrographic analysis of QFL (quartz, feldspar and rock fragments) components. There are seven representative samples namely HRN/BD-01, HRN/BD-02, HRN/BD-03, HRN/BD-04, HRN/BD-05, HRN/BD-06, HRN/BD-07 that will be observed by its optical properties. Based on genetic classification (Krynine, 1963, in Folk, 1980) and empirical classification (Folk, 1980) of quartz mineral grains, there are three types of quartz that can be identified; 1). Monocrystalline quartz with a sub-equant to elongated shape, dark straight to oblique waves (originally from granite and gneiss); 2). Composite polycrystalline quartz with sub-equant to elongated shape, straight dark to slanted wavy, straight and crenulated boundaries between crystals (derived from recrystallized metamorphic rocks); 3) Composite polycrystalline quartz with elongated shape, strongly wavy darkening, and straight/smooth, crenulated, and granulated inter-crystal boundaries (derived from depressed metamorphic rocks). The source rock of the reseach area based on point-counting result of quartz, feldspar and rock fragments on the Dickinson & Suczek (1979) QFL triangle diagram was interpreted as a recycled orogen type.
ANALISIS DAMPAK KERUSAKAN INFRASTRUKTUR AKIBAT LIKUIFAKSI DI PALU Sainuddin Sainuddin
Jurnal Azimut Vol 4 No 2 (2022): Volume 4, No.2
Publisher : Universitas Tamansiswa Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31317/jaz.v4i2.839

Abstract

The objectives of this study was to (1) analyze infrastructure damages (buildings and roads) due to liquefaction based on Open Street Map (OSM) data, (2) analyze spatial distribution patterns of infrastructure damage due to liquefaction, (3) analyze the characteristics of satellite imagery before and after liquefaction based on the time series (sentinel 2) satellite image index. The results showed that the Petobo was the most affected by liquefaction, with a percentage of damage in roads is 83.7% and buildings is 99.68%. Then the results was obtained from the spatial spread analysis of pattern have been analyzed and mapped with the heatmap method and the 100mmx100m grid method. The tendency of the distribution pattern of buildings (Petobo, Balaroa, and Jono Oge) follows the standard distance ellips method, while the distribution of buildings (Lolu) follows the standard distance pattern. Furthermore, the results of the spatial analysis of NDVI satellite images show the colors shading that indicate vegetation or the level of density (greening) on a land where the green color indicates the density on a land. While the results of the spatial analysis of NDWI images explain the distribution of colors that show humidity in a land.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2022 2022


Reset
Filter By Issues
All Issue Vol 5 No 2 (2023) Vol 4 No 2 (2022): Volume 4, No.2 Vol 4 No 1 (2022): Volume 4, No.1 Vol 3 No 01 (2020): Volume 3 No. 01 Vol 3 No SMAR (2020): Jurnal Edisi Khusus SMAR Vol 2 No 1 (2019): Volume 2 No. 1 Juni 2019 Vol 2 No 2 (2019): Desember 2019 Vol 1 No I (2018): Volume I No. I Desember 2018