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All Journal JURNAL PERTAMBANGAN Saintek Perikanan : Indonesian Journal of Fisheries Science and Technology Paduraksa : Jurnal Teknik Sipil Universitas Warmadewa Jurnal Pengabdian Kepada Masyarakat Universitas Bangka Belitung Jurnal Geomine PROMINE Jurnal Laut Khatulistiwa Jurnal GEOSAPTA IKRA-ITH ABDIMAS Jurnal Abdi Insani Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Buletin Profesi Insinyur Jurnal Himasapta Jurnal Belo MINERAL Journal of Geology and Exploration Dharma Pengabdian Perguruan Tinggi (DEPATI) Jurnal Teknik Pertambangan (JTP)
Guskarnali, Guskarnali
Jurusan Teknik Pertambangan, Fakultas Sains Dan Teknik, Universitas Bangka Belitung
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Analisis Pemantauan Sebaran TSS Menggunakan Aplikasi Google Earth Engine Sebagai Dasar Pengelolaan Pesisir Terpadu Di Wilayah Sekitar Pantai Pasir Padi Farhaby, Arthur Muhammad; Guskarnali, Guskarnali; Setiawan, Fahri; Winarto, Mito; Arianto, Firdaus Dwi
Jurnal Laut Khatulistiwa Vol 9, No 1 (2026): February
Publisher : Dept. Marine Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/lkuntan.v9i1.101296

Abstract

Abstract The coastal waters surrounding Pasir Padi Beach, located on the eastern side of Pangkalpinang, constitute a transitional zone between terrestrial and marine environments that is highly susceptible to sedimentation pressure, particularly from tin mining activities. This study aims to map and analyze the distribution and concentration of Total Suspended Solids (TSS) in the coastal waters of Pasir Padi Beach and its surrounding areas. The monitoring was carried out using a Google Earth Engine–based platform over a four year period (2022–2025) utilizing Sentinel 2A satellite imagery. The analysis employed a modified version of the Parwati method to estimate TSS. The findings revealed TSS concentrations ranging from 60–80 mg/L and >80 mg/L, represented by red and orange colors, which were predominantly distributed along the coastline. Meanwhile, the green areas, indicating TSS concentrations of 20–30 mg/L, functioned as a transitional or coastal belt before reaching the offshore waters characterized by low TSS values of 0–20 mg/L, depicted in blue. These results demonstrate that regions located near river mouths and tin mining zones are more prone to high sedimentation intensity, with the highest accumulation occurring toward offshore areas. Consequently, periodic monitoring is essential to mitigate potential environmental impacts such as river mouth siltation and disruptions to coastal dynamics and coastal activities.
Analysis of Differences in Overburden Volume Calculation Results Based on Survey and Truck Count Method at PT Bina Sarana Sukses Job Site Manambang Muara Enim Sihombing, Johanes Pauji; Harsiga, Edwin; Guskarnali, Guskarnali
Journal of Geology and Exploration Vol. 4 No. 2 (2025): Journal of Geology and Exploration, December 2025
Publisher : CV Insight Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58227/jge.v4i2.326

Abstract

PT Bina Sarana is a coal mining contractor located in Darmo village and Pulau Panggung village. Lawang Kidul district, Muara Enim regency, South Sumatera province. The calculation of overburden volume using survey and truck count method on May is a 16,394.177 BCM, percentage 11.57. The aim of this study is to determine the volume of overburden transported based on survey and truck count method, analyze the casual factor and reparation. This study use quantitative method, overburden production on June and July is 910,304.25 BCM and truck count is 975.984,86 BCM. The identification of problem conducted sampling test to know the casual capacity of vessel, CMT 96 is 23.26 BCM, CMT 106 is 25.30 BCM on June and CMT 96 is 23.21 BCM, CMT 106 is 24.87 BCM on July. The identification of problem used improving the calculation formula truck count, percentage routinely conducted sampling test to determine the actual capacity of vessel. The factor that influence of overburden volume known with survey and truck count method along June-July of 2024 are the discrepancy between actual load, the lack of bucket fill factor, the inaccurate of field survey data (inaccurate setting, tool centering, inaccuracy of detailed progress point). After the improvement, the result of overburden volume of truck count on June-July is 924,735.17 BCM, has a decrease in company’s calculation differences of 6.72 % to 1.5 % with the company determination 2.75 %.
Co-Authors Adibrata, Sudirman Agus Cik Aldino, Teo Aleo Saputra Alex Lisendrik Nadapdap Alfitri Rosita Alfitri Rosita, Alfitri Amran Amri, Novinda Tiara Ayu Andesta Granitio Irwan Andini, Delita Ega Anggara, Dayu Arianto, Firdaus Dwi Benget Harmoko Manik Benget Harmoko Manik Boy Dian Anugra Sandy DBA. Andris Delita Ega Andini Desti Armelia Edwin Harsiga EPSB Taman Tono Erika Saskia Ester Indah Sari Fahri Setiawan Faisal Faisal Farhaby, Arthur M Fika Dewi Pratiwi Franto Franto, Franto Franto, Franto Ghina Qatrunnada H. Oktarianty Haslen Oktarianty Indra Chang Indra, M Alfarie Irvani Irvani Irvani, Irvani Irvani, Irvani Irza Tri Putra Janiar Pitulima Jeffry Reynold Silalahi La Ode Wahidin Lisa Maulidya Mardiah Mardiah Mardiah Mardiah Mohammad Agung Nugraha Muhamad Nasuhi Muhammad Amin Sitepu Nasuhi, Muhamad Ndaru Satrio Nurhadi, Rajandra Oktarianty, Haslen Okto Supratman Putra, Irza Tri Rafi Sasena Rajandra Nurhadi Regita Kasih Parenty Rika Fitriani Ririn Amelia Robby Gus Mahardika Saputra, Aleo Satrya Sembiring, Raskita Alan Sihombing, Johanes Pauji Tarigan, Arjunanta Teo Aldino Tono, E.P.S.B Taman Wahyu Adi Winarto, Mito