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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 Spasial: Penelitian, Terapan Ilmu Geografi dan Pendidikan Geografi Aerospace Engineering
Armi, Ilham
Unknown Affiliation
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 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, 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.
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.
ANALISIS KETERCAPAIAN DATA UKUR ROOF DAN FLOOR TERHADAP TOTAL MATERIAL (STUDI KASUS: PT SATRIA BAHANA SARANA) Kurniawan, Imam; Arini, Dwi; Defwaldi, Defwaldi; Armi, Ilham; Fajrin, Fajrin
Jurnal Spasial Vol 12, No 2 (2025)
Publisher : Program Studi Pendidikan Geografi Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/js.v12i2.11363

Abstract

Mining comprises activities from exploration to post-closure, including investigation, feasibility studies, construction, extraction, processing, transport, and sales. PT Satria Bahana Sarana operates within PT Bukit Asam Tbk’s concession, performing overburden removal and coal haulage from pit to temporary stockpiles and onward to livestock. Following a 2024 directive from PT Bukit Asam Tbk, all contractors working in the concession must include roof and floor measurement data in production reports. PT Satria Bahana Sarana has faced deviations between roof and floor survey results and actual production records, with field measurements often differing from truck counts and dump hopper volumes. This study quantitatively analyzed the alignment of roof and floor measurements with production data collected from April to September 2024. Numerical datasets were compared and correlations evaluated using Pearson and Spearman methods to measure relationships between survey measurements and production figures obtained from truck counts and dump hoppers. Results indicate a strong positive correlation, with a Pearson coefficient of 0.9137 and a Spearman coefficient of 0.943. These outcomes suggest roof and floor measurements can serve as a reliable basis for production planning and performance evaluation. Implementing rigorous data validation and reconciliation can reduce deviations, improve reporting accuracy, enhance operational efficiency, regulatory compliance
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 Imam Kurniawan, Imam 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