Pemisahan Anomali Regional-Residual pada Metode Gravitasi Menggunakan Metode Moving Average, Polynomial dan Inversion

Purnomo, Jarot; Koesuma, Sorja; Yunianto, Mohtar

doi:10.13057/ijap.v3i01.1208

Cited by 23 publications

(26 citation statements)

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“…Model polynomial merupakan teknik untuk menjelaskan hubungan antara satu titik dengan titik lainnya dan memiliki persamaan variabel dengan pangkat yang bertingkat. Model polynomial ini memiliki enam ordo (Purnomo et al 2013). Arti ordo itu sendiri adalah pangkat pada variabel yang ingin ditentukan.…”

Section: Model Polynomialunclassified

“…Error pada statistika pendomannya maksimal 10%. Syaputra et al (2015) Purnomo et al (2013) dan Syaputra et al (2015) bahwa uji kesalahan untuk memproyeksi ikan hasil tangkapan yang baik adalah <10% dan nilai korelasi hampir mendekati angka satu. Oleh karena itu, model polynomial ordo 4 sangat cocok digunakan dalam pernyediaan produksi ikan hasil tangkapan untuk lima tahun selanjutnya di PPS Kutaraja (Gambar 4).…”

Section: Uji Kesalahanunclassified

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Proyeksi Produksi Ikan Hasil Tangkapan Di Pelabuhan Perikanan Samudera Kutaraja Provinsi Aceh

Kurnia

Mustaruddin

Lubis

2020

JTPK

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Pelabuhan Perikanan Samudera (PPS) Kutaraja merupakan pelabuhan yang sangat strategis dan sedang dikembangkan oleh Pemerintah Aceh menjadi pusat ekonomi perikanan. Penelitian ini bertujuan untuk menganalisis produksi Ikan Hasil Tangkapan (IHT) di PPS Kutaraja dan memproyeksikan produksi Ikan Hasil Tangkapan (IHT) untuk tahun (2020-2024). Penelitian dilakukan pada bulan Juni-Juli 2019. Metode yang digunakan adalah studi kasus dengan analisis peramalan menggunakan model regresi linier sederhana dan berpangkat, serta menghitung nilai determinasi dan SEE. Berdasarkan hasil analisis diketahui perkembangan produksi IHT tahun 2012-2018 mengalami peningkatan setiap tahunnya dengan rata-rata mencapai 17%. Hasil peramalan untuk tahun 2020 mencapai 92.637,84 ton, 2021 mencapai 159.162,54 ton, tahun 2022 mencapai 260.598,23 ton, tahun 2023 mencapai 268.820,21 ton, dan pada tahun 2024 mencapai 272.978,67 ton. Kesimpulannya adalah peramalan hasil produksi mengalami peningkatan yang sangat drastis dalam kurun waktu 5 tahun kedepan.

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Section: Model Polynomialunclassified

Section: Uji Kesalahanunclassified

Proyeksi Produksi Ikan Hasil Tangkapan Di Pelabuhan Perikanan Samudera Kutaraja Provinsi Aceh

Kurnia

Mustaruddin

Lubis

2020

JTPK

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“…Higher z surface can reduce the local anomaly. The local or residual anomaly is the main target of the magnetic separation process [10][11].…”

Section: Theory 21 Upward Continuationmentioning

confidence: 99%

Comparative Results of Regional and Residual Anomalies with the Upward Continuation, Moving Average, and Polynomial Methods for Magnetic Data

2020

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Geophysics programing of regional and residual anomaly separation on Magnetic data has been carried out with the results compared with the upward continuation method in the OasisMontaj software. Separation of anomalies with moving average and polynomial methods is processed using Matlab programming. The orders used in the polynomial method are first-order, second-order and third-order. Comparison is done by calculating the match value. The chosen matching method is autocorrelation. Correlation of residual magnetic anomalies resulting from upward continuation (Magpick) to moving averages, 1st-order polynomials, 2nd-order polynomials and 3rd-order polynomials. Correlation values obtained for the moving average method are 0.9604, first order polynomial 0.9072, 2nd order polynomial 0.9482 and third order polynomial 0.6057. The moving average and second order polynomial methods can be used as a substitute method if we do not use the upward continuation method.

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“…Gravity data processing is done to reduce the factors that affect the gravity data become complete Bouguer anomaly [9] [10]. To determination regional and residual anomalies using second orde polynomial method [11]. In a cross-sectional modeling the subsurface residual anomaly map created by Surfer software and GravPro-X.…”

Section: B Data Processingmentioning

confidence: 99%

“…MT data processing begins with quality control data is done by looking at the time series of the electric field components (Ex, Ey) and magnetic field components (Hx, Hy, Hz) of each measurement data from each station within a certain time interval, and then carried out the selection of data where there is no many distractions. Processing time series data [11] performed with SSMT 2000 and editing is done using MT-Editor.…”

Section: B Data Processingmentioning

confidence: 99%

Application of MT dan Gravity Method to Potential Analysis of Kepahiang Geothermal Bengkulu

Zarkasyi¹,

Nurdiyanto²,

daud³

2018

Preprint

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An analysis of geothermal potential in Kepahiang-Bengkulu area using gravity and MT measurements of PSDG has been done. The analysis was conducted on 286 gravity points and 37 MT points spread over the southern part of Mount Kaba to Babakan Bogor hot springs. Kepahiang geothermal system is related to the volcanic activity of Mount Kaba which is still preserving the residual heat from the magma. Based on the gravity residual anomaly, the structure that controls the emerging Sempiang hot springs is estimated to be Sempiang fault that in near north-south direction, while Babakan Bogor hot springs is estimated to be controlled by the Sumatra fault. The cap rocks scatter around Sempiang hot springs start from nearground surface with thickness of between 1500 meters to 2500 meters. Cap rock is a unit of Young Lava of Kaba with resistivity < 10 Ohm-m and density is 2.2 gr/cm3. Geothermal reservoir is estimated to be located under the cap rocks scatter around Sempiang hot prings as indicated by values of 10-60 Ohm-m in resistivity and density is 2.4 gr/cm3. The top of reservoir is estimated to be 1500 meters below the ground surface, these rocks are volcanic products of Old Kaba in form of either lava or pyroclastic. Kepahiang geothermal prospect area scatters 19 km2 wide around Sempiang hot springs which is bound by contrast resistivity and fault. It has potential geothermal of 133 MWe with the assumption of reservoir temperature (geochemistry) is 2500C. Calculation of geothermal potential is included in the classification of expected reserves, as well as the extent and thickness of reservoir rock and fluid physical parameters are estimated based on data integrated geosciences detail depicted in the model tentatively.

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Pemisahan Anomali Regional-Residual pada Metode Gravitasi Menggunakan Metode Moving Average, Polynomial dan Inversion

Cited by 23 publications

References 0 publications

Proyeksi Produksi Ikan Hasil Tangkapan Di Pelabuhan Perikanan Samudera Kutaraja Provinsi Aceh

Proyeksi Produksi Ikan Hasil Tangkapan Di Pelabuhan Perikanan Samudera Kutaraja Provinsi Aceh

Comparative Results of Regional and Residual Anomalies with the Upward Continuation, Moving Average, and Polynomial Methods for Magnetic Data

Application of MT dan Gravity Method to Potential Analysis of Kepahiang Geothermal Bengkulu

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