cover
Contact Name
Rahmiati
Contact Email
rahmiati@fmipa.unmul.ac.id
Phone
+6281355258687
Journal Mail Official
kutaibasin@fmipa.unmul.ac.id
Editorial Address
Jalan Barong Tongkok No.4 Gunung Kelua Samarinda, East Kalimantan Province Indonesia - 75123
Location
Kota samarinda,
Kalimantan timur
INDONESIA
Geosains Kutai Basin
Published by Universitas Mulawarman
ISSN : -     EISSN : 26155176     DOI : https://doi.org/10.30872/geofisunmul.v5i2
Core Subject : Science,
Coastal and Ocean Dynamics Environmental of Geophysics Geodesy and Geography Geographic Information System Geology Geophysics Exploration Geotechnical/ geo-engineering Hazard Mitigation Hydrology Meteorology and Climatology Mining Engineering Seismology and Volcanology Oceanography
Articles 9 Documents
Search results for , issue "Vol 2 No 2 (2019)" : 9 Documents clear
IDENTIFIKASI SEBARAN INDIKASI AIR TANAH DANGKAL TERKONTAMINASI LINDI DENGAN MENGGUNAKAN METODE RESISTIVITAS DAN INDUCED POLARIZATION (IP) DI SEKITAR TPA SAMBUTAN KOTA SAMARINDA Bamba, Ayub; Supriyanto, Supriyanto
GEOSAINS KUTAI BASIN Vol 2 No 2 (2019)
Publisher : Geophysics Study Program, Faculty of Mathematics and Natural Sciences, Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/geofisunmul.v2i2.475

Abstract

Sambutan of Samarinda City Landfill implements a sanitary landfill system in accordance with the applicable terms and conditions to minimize or eliminate environmental problems. This research was conducted around Sambutan of Samarinda which are in an area with coordinates 117 ° 06 '44.00 "BT, 00 ° 27' 36.00" LS - 117 ° 07 '11.00 "BT, 00 ° 27' 18.00" LS. In the five line was measured to obtain the values of apparent resistivity (ρa) and apparent chargeability (ma) each 3,250 data. These values are processed by the res2dinv program to obtain 2-D model. Furthermore, the modeling results are correlated to obtain 3-D models using Rockwork program. The results show that sanitary landfill waste treatment system does not have a negative impact on environment. The results of geoelectric modeling there is an indication of shallow groundwater which has the potential for leachate conta mination from lines 1 to 5 with a distribution of resistivity values 10.2 Ω.m to 81.6 Ω.m and distribution of chargeability values 6.32 msec to 10, 0 msec.
IDENTIFIKASI SEBARAN MINERAL BIJIH BESI DENGAN MENGGUNAKAN METODE RESISTIVITAS DAN INDUCED POLARIZATION (IP) DI KECAMATAN MUARA UYA, KABUPATEN TABALONG, PROVINSI KALIMANTAN SELATAN Ferial, Deki; Natalisanto, Adrianus Inu
GEOSAINS KUTAI BASIN Vol 2 No 2 (2019)
Publisher : Geophysics Study Program, Faculty of Mathematics and Natural Sciences, Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/geofisunmul.v2i2.471

Abstract

The geoelectric method is one of the geophysical methods. It studies the electrical properties on earth and detects on the surface of the earth. In this case includes the measurement of potential, currents and electromagnetic fields that occur either naturally or due to injection of current into the earth. This research was conducted at the mining site of PT. Bakal Makmur Sejahtera (BMS). Geographically, the mining location of PT. BMS is located at 173° 15' 32.8896" BT, 0° 10' 32.5209" LS. In the five line was measured to obtain the values of apparent resistivity (ρa) and apparent chargeability (ma) this using the Wenner-Schlumberger array of 3,900 data. These values are processed by the res2dinv program to obtain 2-D from each line. The results of geoelectric modeling there is an indication of iron ore from lines 1 to 6 with a distribution of resistivity values 43,5 Ω.m to 249 Ω.m and distribution of chargeability values 34,4 msec to 99,7 msec. The interpretation supporting by outcrop data in the field.
PEMETAAN DAERAH RAWAN KERUSAKAN AKIBAT GEMPA BUMI DI WILAYAH KOTA PALU TAHUN 2000-2018 BERDASARKAN NILAI PERCEPATAN TANAH MAKSIMUM Saputra, Ary Rhamadan; Djayus, Djayus; Supriyanto, Supriyanto
GEOSAINS KUTAI BASIN Vol 2 No 2 (2019)
Publisher : Geophysics Study Program, Faculty of Mathematics and Natural Sciences, Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/geofisunmul.v2i2.466

Abstract

Abstract Palu is the city passed by the Palu-Koro active fault so that tectonic earthquakes often occur, some of which are followed by tsunamis, liquefaction and soil movements. The purpose of this research is to determine the value of peak ground acceleration based on earthquake data from 2000-2018 and to find out areas prone to earthquake damage based on the value of peak ground acceleration in the city of Palu. The data in this research are historical data of earthquakes from 2000-2018 with magnitudes 4.5-9 on the Richter scale and depths of 0-70 Km from USGS (United States Geological Survey) as much 9 data. Earthquake data is processed using empirical equation model Mc. Guirre K. and Donovan to get the value of peak ground acceleration at each specified observation point (grid) by the boundary area 0o37’ LS - 0o58’ LS dan 119o45’ BT - 121o3’ BT. The value of Peak Ground Acceleration at each observation point is processed using software for mapping to get the mapping results. Results of the research, the value of Peak Ground Acceleration in the city of Palu was based on earthquake data from 2000-2018 with Mc. Guirre R.K model ranging from 105,442 - 108,899 gal while the Donovan model ranging from 112,832 - 116,585 gal. The level of earthquake damage in the city of Palu from the highest to the lowest in sequence, namely the districts of North Palu, Tawaeli, Mantikulore, East Palu, Ulujati, West Palu, South Palu and Tatanga.
IDENTIFIKASI LAPISAN AKUIFER AIR TANAH DENGAN MENGGUNAKAN METODE GEOELEKTRISITAS KONFIGURASI SCHLUMBERGER DI TAMAN SALMA SHOFA SAMARINDA, KALIMANTAN TIMUR Rezky, Bayu; Mandang, Idris
GEOSAINS KUTAI BASIN Vol 2 No 2 (2019)
Publisher : Geophysics Study Program, Faculty of Mathematics and Natural Sciences, Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/geofisunmul.v2i2.472

Abstract

The geoelectric method is one of the geophysical methods. It studies the electrical properties on earth and detects on the surface of the earth. In this case includes the measurement of potential, currents and electromagnetic fields that occur either naturally or due to injection of current into the earth. This research was conducted at Salma Shofa garden. Geographically, the location of Salma Shofa Garden is located at 117° 12' 43.0326" E, 0° 28' 40.0238" S to 117° 13' 14.1068" E, 0° 29' 06.5236" S. In the two line was measured to obtain the values of apparent resistivity (ρa) this using the Schlumberger array. These values are processed by the IPI2win program to obtain 1-D from each line. The results of geoelectric modeling indicate the deep of ground water. The resistivity values in line 1 is 49.2Ω.m-51.8 Ω.m. and 49.2Ω.m-51.8Ω.m in line 2.
INTERPRETASI PERSEBARAN LAPISAN BATUBARA MENGGUNAKAN GEOPHYSICAL LOGGING PENDEKKATAN KRIGING DI PT. X, DAERAH PROVINSI KALIMANTAN TIMUR Rahmayanti, Nur; Supriyanto, Supriyanto; Natalisanto, Adrianus Inu
GEOSAINS KUTAI BASIN Vol 2 No 2 (2019)
Publisher : Geophysics Study Program, Faculty of Mathematics and Natural Sciences, Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/geofisunmul.v2i2.467

Abstract

Geophysical logging method is one of the geophysical methods used to determine thickness of the coal seam, the upper and the lower limits of the coal layer illustrate the lithology sequence of rocks in each borehole. The kriging method is one of the interpolation methods in geostatistical methods that often used to predict the problem. This study aims are determine the estimation of coal seam distribution derived from thickness data that obtained from the analysis of geophysical logging methods and the distribution of coal quality viewed from Ash content, Fixced Carbon, Volatile Matter, and Sulfur. The data used in this study are secondary data of coal weld data and coal quality data. Data from coal welding was analyzed using geophysical logging by considering the gamma ray log and log density to obtain coal thickness and then the coal thickness data. The coal quality data was used to estimate the distribution of coal layers and coal quality using the Ordenary Kriging method. Based on the results of the study. The NR4 seam coal is in the form of an estimation model which is displayed in color where there is a distribution of the thickness of the rock interpreted with the smallest coal thickness value of 0.7238 - 0.9055 (m) and the largest thickness value is 1,996 - 2,178 (m) with an average thickness 4,343 m and estimated ash content of 3,348% -11.7%, fixced carbon 40.72% - 46.22%, volatile matter 35.91% -39.49% and sulfur 0.152% - 0.981%.
INTERPRETASI KECEPATAN GELOMBANG SEISMIK REFRAKSI TOMOGRAFI DALAM PENENTUAN LITOLOGI BAWAH PERMUKAAN DI DESA BHUANA JAYA (STUDI KASUS : PT. KHOTAI MAKMUR INSAN ABADI) Linda, Fitria Nova; Lepong, Piter; Djayus, Djayus
GEOSAINS KUTAI BASIN Vol 2 No 2 (2019)
Publisher : Geophysics Study Program, Faculty of Mathematics and Natural Sciences, Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/geofisunmul.v2i2.473

Abstract

Research has been carried out to determine the subsurface lithology including rock type, rock layer thickness, weathered layer, and rock hardness level based on wave velocity seismic refraction tomography at Bhuana Jaya Village, PT. Khotai Makmur Insan Abadi by using the seismic refraction method. The measurement in this study uses the In Line technique, where geophone equipment is arranged in a straight line with 3 and 5 meters spacing between the geophone. Based on the results of study, there are two types of morphology namely hill and rice field areas. Hill area is interpreted which have lithology, the first layer has a thickness of less than 3 m with lithology in the form is soil as a weathered layer, the second layer has a thickness of less than 2 m with lithology in the form is siltstone, the third layer has a thickness is less than 9 m with lithology in the form is mudstone, and the fourth layer has a thickness of less than 9 m with lithology in the form is sandstone, where this area is located at very hard rock. While rice field areas are interpreted which have lithology, the first layer has a thickness of less than 10 m with lithology in the form is alluvium as a weathered layer and the second layer has a thickness of less than 10 m with lithology in the form is siltstone with sandstone inserts, where these areas are located at an easy to medium level of hardness.
HUBUNGAN TINGGI MUKA AIR DAN DEBIT ALIRAN SUNGAI KARANG MUMUS DI LOKASI DESA PAMPANG KOTA SAMARINDA Wiadnyana, Dewa Made; Subagiada, Kadek; Natalisanto, Adrianus Inu
GEOSAINS KUTAI BASIN Vol 2 No 2 (2019)
Publisher : Geophysics Study Program, Faculty of Mathematics and Natural Sciences, Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/geofisunmul.v2i2.469

Abstract

Karang Mumus River Pampang Village Samarinda City has a postal system in accordance with what is needed to overcome or overcome problems related to the environment. This research was carried out around the Pampang River in Samarinda City which was at coordinates 117 ° 06 '44 .00 "BT, 00 ° 27 '36.00" LS - 117 ° 07 '11 .00 "BT, 00 ° 27' 18.00" LS. In this graph measurements are taken to obtain a Rating Curve ( ) and water level (TMA) of 51 data. These values ​​are processed with the help of Microsoft Excel program to get the graphic model. Furthermore, the modeling results are published to get an average value. The results of the study show that the graph in the polynomial shows the best value. Obtained from the results of the modeling of sediment discharge flow that was found one point that was seen to be very increased in data 21.
INTERPRETASI KEBERADAAN GOA BAWAH TANAH (BUNKER) BERDASARKAN DATA GROUND PENETRATING RADAR (GPR) DI DESA JEMBAYAN, KECAMATAN LOA KULU, KABUPATEN KUTAI KARTANEGARA Ladjar, Youvenalis Di’ong; Supriyanto, Supriyanto
GEOSAINS KUTAI BASIN Vol 2 No 2 (2019)
Publisher : Geophysics Study Program, Faculty of Mathematics and Natural Sciences, Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/geofisunmul.v2i2.474

Abstract

Penelitian bunker di Jembayan ini dilakukan untuk memberikan informasi tambahan dalam bidang bangunan sejarah baik bagi para arkeologi. Penelitian ini menggunakan metode Ground Penetrating Radar (GPR) untuk interpretasi keberadaan bunker berdasarkan raw data yang dihasilkan dari proses perekaman di desa Jembayan. Metode GPR bekerja berdasarkan prinsip penjalaran gelombang elektromagnetik. Hasil dari metode ini menghasilkan profil atau raw data. Hasil pengolahan data GPR diinterpretasi untuk menentukan indikasi bunker berdasarkan kontras warna amplitudo yang dihasilkan, dimana kontras warna yang dilihat adalah kontras warna amplitudo udara. Dari hasil analisis data GPR yang dilakukan menunjukan adanya indikasi bunker hanya berada pada lintasan A, B, E dan lintasan G, dengan kedalaman 0.05 meter–3.5 meter dan penyebaran titik-titik bunker berada pada lintasan A, lintasan B, lintasan E, lintasan G, dengan pola kemenerusan bunker yaitu pada arah tenggara-barat laut.
STUDI MEKANISME SUMBER GEMPABUMI DI WILAYAH KALIMANTAN BERDASARKAN GERAK AWAL GELOMBANG P Rusmilawati, Depi; Djayus, Djayus; Lepong, Piter
GEOSAINS KUTAI BASIN Vol 2 No 2 (2019)
Publisher : Geophysics Study Program, Faculty of Mathematics and Natural Sciences, Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/geofisunmul.v2i2.470

Abstract

Pulau Kalimantan selama ini dikenal sebagai pulau yang relatif aman dari gempa bumi. Tujuan penelitian ini adalah Mengetahui mekanisme sumber gempabumi dengan menggunakan data gerak awal dari gelombang P dan mencari penyebab dari kejadian gempabumi di wilayah Kalimantan tahun 2015-2018. Dilakukan pengolahan data menggunakan program fokal mekanisme dengan memilih data gempa bumi yang mempunyai magnitude ≥ 4 Skala Ricther (SR). Penelitian ini menggunakan metode gerak awal gelombang P dengan penentuan polaritas gelombang yang berupa gelombang naik (kompresi) dan gelombang turun (dilatasi). Dari hasil analisis fokal mekanisme gempabumi Kalimantan 2015-2018 diperoleh nilai parameter orientasi bidang sesar berupa strike, dip dan rake. Untuk strike di Kalimantan bagian Utara 114- 170, Dip 80-90 dan Rake -2 – (-136). Sedangkan di Kalimantan Timur, Strike 158- 174, Dip 85-89 dan Rake 2-179. Kalimantan Selatan dengan Strike 127- 159, Dip 40-47 dan Rake 88-97. Hasil penelitian ini menunjukan bahwa penyebab gempa Kalimantan bagian Utara secara umum berupa sesar oblique dan Sesar geser (strike slip). Sedangkan Kalimantan bagian Timur merupakan sesar geser (strike slip) serta Kalimantan bagian Selatan berupa sesar naik (reverse fault) dan Sesar oblique (oblique reverse fault).

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