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Urfan Taghiyev
Contact Email
u.taghiyev@newinera.com
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u.taghiyev@newinera.com
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Jl. Borong Raya Baru I, Makassar, South Sulawesi, Postal Code: 90233. Indonesia
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INDONESIA
Journal La Multiapp
Published by Newinera Publisher
ISSN : 27163865     EISSN : 27211290     DOI : https://doi.org/10.37899/journallamultiapp
Core Subject : Engineering,
International Journal La Multiapp peer reviewed, open access Academic and Research Journal which publishes Original Research Articles and Review Article, editorial comments etc in all fields of Engineering, Technology, Applied Sciences including Engineering, Technology, Computer Sciences, Architect, Applied Biology, Applied Chemistry, Applied Physics, Material Engineering, Civil Engineering, Military and Defense Studies, Photography, Cryptography, Electrical Engineering, Electronics, Environment Engineering, Computer Engineering, Software Engineering, Electromechanical Engineering, Transport Engineering, Mining Engineering, Telecommunication Engineering, Aerospace Engineering, Food Science, Geography, Oil & Petroleum Engineering, Biotechnology, Agricultural Engineering, Food Engineering, Material Science, Earth Science, Geophysics, Meteorology, Geology, Health and Sports Sciences, Industrial Engineering, Information and Technology, Social Shaping of Technology, Journalism, Art Study, Artificial Intelligence, and other Applied Sciences.
Articles 322 Documents
Geological Investigation and Treatment of the Cabean Dam Foundation Rachman, Muhammad Perwira; Sangkawati, Sri; Sriyana, Ignatius; Kurniawan, Yudi
Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i2.3077

Abstract

Embankment dams are critical infrastructure requiring comprehensive geological and geotechnical investigation to ensure long-term structural integrity and prevent catastrophic failure. This study presents the results of two-stage Multichannel Analysis of Surface Waves (MASW) investigations conducted at Cabean Dam core zone to characterize shear wave velocity (Vs) profiles and identify weak zones susceptible to seepage and slope instability. The first stage (2022) involved 17 survey lines while the second stage (2025) comprised 11 additional lines targeting critical areas. Shear wave velocity values ranged from 78–756 m/s, indicating significant material heterogeneity. Low Vs anomalies (78–200 m/s) were identified in the upper 0–7 meter depth at survey lines L-01, L-07, L-08, and L-09, correlating with residual soil having high permeability values up to 3.06×10⁻⁴ m/s and Lugeon values reaching 25.34 Lu. Integration of MASW data with borehole logs confirmed material classifications ranging from Site Class E (soft soil) at shallow depths to Site Class B (stiff soil) at greater depths. The identified weak zones pose significant risks for seepage, internal erosion (piping), and slope instability, requiring remedial measures including recompaction, optimized internal drainage design, and enhanced instrumentation monitoring. This research contributes methodological advancement in applying MASW as an integral component of staged investigation protocols for embankment dam projects, particularly for monitoring and refining geological-geotechnical conditions during construction phase. Results serve as a reference for practitioners and researchers in geotechnical dam engineering for improving safety and reliability of embankment dam infrastructure in Indonesia.
Spatial Analysis of Landslide Dynamics in Muara Enim Regency Based on Rainfall Billa, Yosika Agustina; Mardiansyah, Wijaya; Kurniawati, Netty
Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i2.2955

Abstract

Muara Enim Regency experiences significant landslide hazards requiring comprehensive understanding of rainfall dynamics and triggering mechanisms. This research investigates the spatial and temporal relationships between rainfall patterns and landslide occurrence using quantitative descriptive analysis with Geographic Information Systems. The study analyzed CHIRPS satellite rainfall data and institutional disaster records spanning 2017 to 2024, encompassing 75 documented landslide events across 96 monthly observations within Muara Enim Regency (7,483 square kilometers). Data analysis employed Inverse Distance Weighting interpolation with power parameter two to generate monthly rainfall surfaces, supplemented by descriptive statistics quantifying annual and monthly precipitation variations. Results revealed annual rainfall fluctuation ranging from 2,267 millimeters (2019) to 3,656 millimeters (2022), with pronounced seasonal patterns showing peaks in December (363 millimeters) and March (350 millimeters), contrasting with dry season minima in August (136 millimeters) and September (154 millimeters). Landslide occurrence clustered prominently during February, March, and November, recording eight to nine documented events respectively, while August and September with minimal rainfall showed zero to one landslide event. Analysis demonstrates strong correlation between rainfall intensity and landslide frequency, substantiating rainfall as a primary triggering mechanism for slope instability in mountainous tropical regions. This research provides foundational empirical evidence supporting subsequent integrated landslide hazard assessment and early warning system development in Muara Enim Regency and comparable Indonesian mountain regions.

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