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All Journal JURNAL SPASIAL Syntax Literate: Jurnal Ilmiah Indonesia Ensiklopedia of Journal El-Jughrafiyah : Jurnal Geografi dan Terapannya Jurnal Sosial dan Sains Jurnal Teknik, Komputer, Agroteknologi dan Sains Eduvest - Journal of Universal Studies Jurnal Sains dan Ilmu Terapan Jurnal Teknik Indonesia Jurnal Administrasi Negara HUMANITIS : Jurnal Humaniora, Sosial dan Bisnis Aerospace Engineering
Armi, Ilham
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Neuroscience Physics Public Health Social Sciences Transportation Other

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Identification of Underwater Mountains Using Multibeam Echosounder Data (Case Research of the Waters of Southern Java) Irmanzah, Jhohan; Arini, Dwi; Armi, Ilham; Marsiska, Dwi; Defwaldi
Eduvest - Journal of Universal Studies Vol. 5 No. 9 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i9.51082

Abstract

Submarine mountains (seamounts) are important geological features formed by volcanic activity on the seafloor. Their identification and mapping play a crucial role in understanding geological dynamics, conserving marine ecosystems, and supporting sustainable resource management. This research focuses on the identification of seamounts in the southern waters of Java, Indonesia, using Multibeam Echosounder (MBES) data. The MBES data were processed and analyzed with Teledyne Marine PDS hydrographic software to produce bathymetric maps and Digital Elevation Models (DEM). The DEM enabled a detailed visualization of the seafloor morphology, including height, slope gradient, and peak shape of the identified seamounts. The analysis also assessed data accuracy in accordance with International Hydrographic Organization (IHO) standards, confirming that the mapping results met IHO accuracy requirements. This methodological approach demonstrates the capability of MBES and PDS processing to generate reliable topographic information for underwater geological studies. The findings highlight the existence of distinct seamounts in the southern Java waters, providing valuable insights into the region’s marine geology. Furthermore, the results contribute to more accurate hydrographic mapping, ecosystem conservation strategies, and sustainable resource exploration in Indonesia. Overall, this study emphasizes the significance of advanced hydrographic technologies in exploring poorly understood seafloor environments and provides a solid reference for future research on submarine topography.
Analisis Kawasan Rawan Bencana Kekeringan Menggunakan Sistem Informasi Geografis di Kabupaten Pesisir Selatan Marsiska Driptufany, Dwi; Nasyahardian Nasyahardian; Armi, Ilham; Fajrin Fajrin; Defwaldi Defwaldi
Jurnal Sains dan Ilmu Terapan Vol. 8 No. 2 (2025): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v8i2.1157

Abstract

Drought is one of the natural disasters that significantly affects people's lives, particularly in terms of clean water availability and the agricultural sector. Pesisir Selatan Regency is an area prone to drought due to prolonged dry seasons and decreased rainfall. This study aims to identify the level of drought vulnerability and map the distribution of drought-prone areas in Pesisir Selatan Regency using a scoring method based on Geographic Information Systems (GIS). The parameters used in the analysis include land use, slope gradient, rainfall, soil type, and river networks. The data were obtained from administrative maps, spatial data, and hydrological and climatological information. The results show that most areas in Pesisir Selatan Regency fall into the moderate vulnerability category, while areas with high vulnerability are commonly found in residential and rice field zones. In contrast, areas with low vulnerability are located near water bodies and are highly influenced by high rainfall levels.
PERUBAHAN RUANG TERBUKA HIJAU KECAMATAN KOTO TANGAH PERIODE TAHUN 2018-2022 Wiryanto , Hadi; Arini, Dwi; Fajrin, Fajrin; Armi, Ilham
ADMIN: Jurnal Administrasi Negara Vol. 2 No. 1 (2024): Januari
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

Koto Tangah is one of the sub-districts in Indonesia, specifically in the city of Padang, West Sumatra province. Koto Tangah sub-district has an area of 232.25 km2 or around 33.42 percent of the total area of Padang City. Along with the development of Padang City in the last five years to be precise in 2018-2022. There are changes in Green Open Space that have occurred in the Koto Tangah District area. In this research, to determine changes in Green Open Space in Koto Tangah District, we use Geographic Information Systems (GIS) and Remote Sensing to detect changes in Green Open Space using Google Earth imagery in 2018. -2022 and to find out the pattern of green open space distribution using the nearest neighbor method or nearest neighbor analysis from the results of calculating the percentage (%) of the total area of Green Open Space in Koto Tangah District from 2018 to 2022, the result is that there is a decrease in the number of green open spaces available by 1, 1% with the total green open space area in 2018 amounting to 16,203, 3333 ha (73.5%) and the total green open space area in 2022 amounting to 15,870.92 ha (72.4%) from the area of Koto Tangah sub-district with the distribution pattern of the nearest green open space, then It is known that the distribution pattern of green open spaces is clustered. Based on Law No. 26 of 2007 concerning Spatial Planning, the proportion of green open spaces is at least 30 (thirty) percent of the city area. The total availability of green open spaces in Koto Tangah sub-district from 2018 to 2022 is sufficient.
Analisis Pemodelan Pasang Surut untuk Potensi Pembangkit Listrik Tenaga Pasang Surut di Kecamatan Siberut Barat Khan, Muhammad Shalman; Armi, Ilham; Arini, Dwi; Defwaldi, Defwaldi; Fajrin, Fajrin
EL-JUGHRAFIYAH Vol 3, No 2 (2023): El-Jughrafiyah : August, 2023
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jej.v3i2.25883

Abstract

Pemodelan numerik merupakan kombinasi dari representasi matematis dari masalah dalam bentuk fisik dan pendekatan numerik dari persamaan matematika, pemodelan numerik oseanografi merupakan sebuah sistem untuk mempelajari suatu fenomena dinamika laut kedalam persamaan-persamaan diskrit/numerik.Pembangkit listrik tenaga pasang surut adalah suatu Energi pasang surut (Tidal Energy) yang terbarukan. Prinsip kerja nya sama dengan pembangkit listrik tenaga air, dimana air dimanfaatkan untuk memutar turbin dan mengahasilkan energi listrik. Penelitian ini meggunakan metode kuantitatif deskrtiptif, pengolahan data dengan software MIKE 21 yang hasilnya data prediksi pasang surut dan kecepatan arus, Hasil dari pemodelan arus dan pasang surut untuk potensi pembangkit listrik dimana pasang tertinggi pada tahun 2024 dibulan mei sebesar 1,53m dan surut pada bulan april sebesar -0,92m. tahun 2025 pasang tertinggi dibulan maret sebesar 2,07m dan surut pada bulan april sebesar -0,56m. untuk potensi eneri listrik pada tahun 2024 rata-rata 5,7kwh, dan pada tahun 2025 rata-rata 9,07kwh.
Mapping Solar Energy Potential Based on Google Earth Engine (GEE) in West Sumatera Province Haz, Fahrezy Maulana; Fajrin, Fajrin; Arini, Dwi; Armi, Ilham; Defwaldi, Defwaldi
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i5.58645

Abstract

This study investigates the spatial distribution of solar energy potential in West Sumatera Province using Google Earth Engine (GEE) by integrating Himawari-8 and Sentinel-2 satellite data. The objectives are to identify regions with high solar irradiance and assess land use suitability for solar power plant development. Solar radiation models—DHI, DNI, and GHI—were computed and validated against NASA POWER data, achieving high model accuracy with RMSE values of 0.095, 6.43, and 0.05, and correlation coefficients of r = 0.93 across all models. The Mentawai Islands showed the highest GHI values (4,219.85 kWh/m²), while Dharmasraya had the highest DNI due to solar angle alignment. Land classification using Sentinel-2 imagery and the CART algorithm revealed that although 173,152.90 ha of forest land in West Siberut is highly irradiated, only 9.29 ha of nearby open land is recommended for development to minimize ecological impact. This integrative approach demonstrates how remote sensing and spatial modeling can inform sustainable energy planning. The findings provide a scalable framework for identifying viable sites for solar energy infrastructure in Indonesia, supporting both regional energy independence and national renewable energy targets.
KLASIFIKASI CITRA MULTI WAKTU RESOLUSI TINGGI (GOOGLE EARTH) UNTUK PEMETAAN DINAMIKA PERUBAHAN PENGGUNAAN LAHAN SEPANJANG SUNGAI BATANG ARAU KOTA PADANG Muhammad Ali Hanafi , Handi; Fajrin, Fajrin; Armi, Ilham
HUMANITIS: Jurnal Homaniora, Sosial dan Bisnis Vol. 2 No. 1 (2024): Januari
Publisher : ADISAM PUBLISHER

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Abstract

Land use change or changes in land use are basically the impact of the increasingly rapid population growth in an area as well as the increasing needs of the community for land. by increasing or decreasing other land use classifications from one time to the next, in other words there is a shift in the function of land use as a result of population growth factors such as the case of changing the use of agricultural land to built-up land. This research uses coordinate accuracy testing to determine the differences between the data size field with size data on the edited image. Accuracy checking is carried out using GCP coordinates and distance, it is known that the degree of accuracy depends on the RMS coordinate error or whether or not the RMS distance error value is large, and this research also uses interpretation accuracy testing, the stage of searching for Overall Accuracy calculates the overall percentage of accuracy for the overall interpretation accuracy class is 82 % produce good or decent overall accuracy if using an accuracy reference that is considered appropriate for using satellite imagery of 80% - 85%,.
Co-Authors Agung Budi Harto Ananda, Yori Defwaldi Defwaldi Defwaldi Defwaldi, Defwaldi Divia, Ferji Driptufani, Dwi Marsiska Driptufanny, Dwi Marsiska Driptufany, Dwi Marsiska Dwi Arini Fajrin Fajrin Fajrin, Fajrin Fikri, Saiyidinal Gahesa, Tete Haz, Fahrezy Maulana Irmanzah, Jhohan Khan, Muhammad Shalman marsiska driptufany, dwi Marsiska, Dwi Muhammad Ali Hanafi , Handi Musfiza, Delfha Nasyahardian Nasyahardian Nasyahardian, Nasyahardian Salman Khan, Muhammad Suanda, Arjun Wahyu Pratama Wahyulia, Sherly Wiryanto , Hadi Wiwin Windupranata, Wiwin Yudi Antomi