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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.
Pengaruh Dukungan Sosial Keluarga Terhadap Kualitas Hidup Lansia di Panti Werdha Ria Pembangunan Jakarta Timur Arini, Dwi; Hamiyati, Hamiyati; Tarma, Tarma
JKKP (Jurnal Kesejahteraan Keluarga dan Pendidikan) Vol. 3 No. 2 (2016): JKKP (Jurnal Kesejahteraan Keluarga dan Pendidikan)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (145.303 KB) | DOI: 10.21009/JKKP.032.04

Abstract

Dukungan sosial serta kepedulian pada Lanjut usia yang diperoleh dari keluarga, kerabat dan masyarakat sangat diperlukan agar lansia tidak mengalami masalah seperti kurang mendapat perhatian dan kasih sayang, merasa kesepian,depresi dan merasa dirinya tidak berguna. Dukungan yang bersumber dari orang-orang terdekat merupakan sistem pendukung bagi lansia untuk dapat terus aktif ditengah keterbatasan yang dialaminya. Penelitian ini bertujuan untuk mengetahui pengaruh dukungan sosial keluarga terhadap kualitas hidup lansia. Penelitian menggunakan metode survei dengan pendekatan korelasi yang dilakukan pada lanjut usia yang tinggal di Panti Werdha Ria pembangunan Cibubur, Jakarta Timur. Penelitian ini dilaksanakan pada bulan maret–mei 2016. Teknik pengambilan sampel pada penelitian ini menggunakan teknik purposive sampling dengan sampel sabanyak 44 orang. Perhitungan statistik pada penelitian ini menunjukkan bahwa dukungan sosial keluarga dan kualitas hidup lansia di Panti Werdha Ria Pembangunan memiliki tingkat kategori kuat. Dukungan sosial keluarga terhadap kualitas hidup lansia menghasilkan nilai korelasi (0,611) yang berarti dukungan sosial keluarga berpengaruh sebesar 37,34% terhadap terbentuknya kualitas hidup lansia. Kesimpulan dari penelitian ini adalah ho ditolak dengan hasil thitung (6,350). Ttabel (2,016) sehingga ho diterima, yaitu terdapat pengaruh yang signifikan antara dukungan sosial keluarga terhadap kualitas hidup lansia.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.