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Riki Rahmad
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INDONESIA
Indonesian Journal of Earth Sciences
Published by MO.RI Publishing
ISSN : 27981134     EISSN : 27973549     DOI : https//doi.org/10.5262/injoes
Core Subject : Science, Agriculture, Social,
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Environmental Science
Indonesian Journal of Earth Sciences is an open-access journal that publishes rigorously peer-reviewed research dedicated to our planet.
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)
Articles 3 Documents
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Search results for , issue "Vol. 5 No. 2 (2025): July-December" : 3 Documents clear
Sea Surface Salinity (SSS) Prediction Using Landsat 8 OLI Image Data in The Bangka Strait Waters with Five Prediction Model Combinations Nisa, Khoirun; Harsono, Gentio; Martha, Sukendra; Waluyo, Dangan
Indonesian Journal of Earth Sciences Vol. 5 No. 2 (2025): July-December
Publisher : MO.RI Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52562/injoes.2025.1738

Abstract

Salinity is the most important parameter for controlling the biological components of ecosystems, seas, and estuaries, which also control the components that make up an ecosystem. Conventional water quality monitoring is considered inaccurate and inefficient in terms of energy and time. Therefore, research is needed to predict sea surface salinity as a type of water quality monitoring using remote sensing reflectance or Remote Sensing Reflectance (RRS) from Landsat imagery. The Landsat image data used is level 2 Surface Reflectance (SR), which is ready to use without additional processing by the user, whereas previous research required corrections to the image data to obtain Surface Reflectance image data. This study aims to determine the performance of the prediction model produced by using five combinations of Landsat image bands. The data used are Landsat 8 OLI image data (recording date 05 August 2024) downloaded from the USGS website and in situ salinity data in the Bangka Strait sea (09 March 2025), as many as 5 samples that can be used. The obtained data were processed using multiple linear regression analysis with Rrs as the independent variable and in situ salinity as the dependent variable. The salinity prediction model consisted of five band combinations. The analysis produced R² values for each model combination of 0.8166287408, 0.935603228, 0.820745745, 0.869209652, and 0.574027060. The RMSE validity tests for combination 1, combination 2, combination 3, combination 4, and combination 5 were 2.41327, 1.43012, 2.38602, 2.03811, and 3.67817. Then for the NMAE value, namely 10.10152205%, 5.32713015%, 9.58011308%, 8.8868031%, and 14.51012574%. The combination rankings that have the best prediction performance are combination 2, combination 4, combination 3, combination 1, and combination 5. So the best model in predicting seawater salinity is the combination of the 2 prediction models, with its constituent band components being band 1, band 2, and band 4.
Analysis of the Relationship Between Resistivity and Seawater Moisture Content Percentage in Loose Sand Medium on the Yogyakarta Coastal Area Pratama, Yudha Agung; Paradise, Mycelia; Suharsono, Suharsono; Hidayat, Wahyu; Setiahadiwibowo, Ajimas Pascaning
Indonesian Journal of Earth Sciences Vol. 5 No. 2 (2025): July-December
Publisher : MO.RI Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52562/injoes.2025.1767

Abstract

This study investigates the effect of seawater moisture content on the resistivity of unconsolidated sand in the coastal region of Yogyakarta. Laboratory experiments were conducted using a standard ASTM G-57 soil box with samples prepared at varying percentages of seawater moisture content. The results indicate that increasing seawater content in the sediment medium leads to an exponential decrease in resistivity. A mathematical relationship was established in the form of a power function: R=1145.7MC?2.23. Resistivity values tend to stabilize when the moisture content exceeds 13%. A resistivity range of 0.8–2.8 ??m is proposed as a cut-off for identifying seawater intrusion in coastal areas. These findings provide an important contribution to the development of geoelectrical methods for monitoring seawater intrusion and evaluating groundwater quality in coastal regions, which can serve as a basis for sustainable water resource management.
Evaluation and Optimization of Asphalt Production Parameters at the Asphalt Mixing Plant in West Sumbawa Sulaimansyah, Sulaimansyah; Wulandari, Miranti Nur; Fadli, Fadli; Wahyuni, Sri; Suhardi, Suhardi
Indonesian Journal of Earth Sciences Vol. 5 No. 2 (2025): July-December
Publisher : MO.RI Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52562/injoes.2025.1915

Abstract

Asphalt is the main material in highway construction that plays an important role in determining the quality, durability, and comfort of road users. The demand for asphalt in Indonesia continues to increase in line with national infrastructure development, including in the West Nusa Tenggara region. PT Fima Kencana Kerthasari, located in Belo Village, Jereweh District, West Sumbawa Regency, is one of the companies engaged in the production of hot mix asphalt through a mixing plant facility. In practice, the production process often faces challenges in maintaining consistent asphalt quality due to variations in mixing temperature, inaccuracies in aggregate and asphalt measurements, and a lack of real-time process control. Considering the potential for quality improvement through the optimization of production process parameters such as temperature, mixing time, and aggregate-asphalt ratio, a systematic study at the PT Fima Kencana Kerthasari site is required. This optimization not only aims to meet technical specification standards (e.g., SNI 06-2489-1991 and SNI 7394:2008) but also to enhance the company's competitiveness through cost efficiency and operational efficiency.

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