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ANALISIS HASIL PEMANTAUAN KESTABILAN LERENG PADA FRONT PENAMBANGAN BATUBARA DENGAN MENGGUNAKAN SLOPE STABILITY RADAR (SSR) VCP 60 DAN VCP 180 DI PIT E BANKO PT SATRIA BAHANA SARANA, TANJUNG ENIM, SUMATERA SELATAN

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Penilaian

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Mine slope monitoring techniques have significantly evolved along with technological advances. Slope Stability radar (SSR) is a slope monitoring tools that has the advantage of monitoring slope conditions in real time with a wide range. Data collection was carried out at PT Satria Bahana Sarana in the South Banko PIT E area (which has experienced a landslide) with pixel coordinates SSR x = 212 and y = 14 in June 2024. During the observation, the dominant showed linear deformation behavior, there was some regressive deformation behavior and there was one progressive behavior that caused a landslide on June 23 at 13:38. Landslides can be predicted using the inverse velocity method assisted by using two software, namely IQ Monitor and Microsoft Excel, when using IQ Monitor with a velocity calculation periods (VCP) reading of 60 predicting the time of landslide on June 23 at 14:16 and for a velocity calculation periods (VCP) reading of 180 predicting the time of landslide on June 23 at 13:45, This means that there is a difference of 07 minutes slower than the actual time and the VCP 180 reading is more effective because the prediction time value is closer to the actual time of the landslide compared to the VCP 60 reading and if using Microsoft Excel with a velocity calculation periods (VCP) reading of 180, the landslide time prediction will occur on June 23 at 14:24 and for the reading (VCP) 60 the landslide time prediction will occur on June 23 at 13:48, This means that there is a difference of 10 minutes slower than the actual time and in Microsoft Excel the VCP 60 reading is more effective to use than the VCP 180 reading. The recommendation of a velocity calculation periods (VCP) reading of 60 is better used in Microsoft Excel software and a velocity calculation periods (VCP) reading of 180 is better used in Monitor IQ software.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507002737	T172893	T1728932025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1728932025

Publisher

: Prodi Teknik Pertambangan Fakultas Teknik Universitas Sriwijaya., 2025

Collation

xv, 47 hlm.; ill.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

622.07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Teknik Tambang

Specific Detail Info

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Statement of Responsibility

EM

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