Adi Gunawan Muammad

Mr. Adi Gunawan Muammad


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 December 2023 in Geosciences
Verified
Journal Article
Open access
PDF file
IRIlsa Rosianna
Ilsa Rosianna
Eka Djatnika NugrahaEka Djatnika Nugraha
Eka Djatnika Nugraha
HTHirofumi Tazoe
Hirofumi Tazoe
Heri SyaefulHeri Syaeful
Heri Syaeful
AMAdi Gunawan Muammad
Adi Gunawan Muammad
Shinji TokonamiShinji Tokonami
Shinji Tokonami
Mamuju is an area of high natural radiation in Indonesia with high natural radiation levels (average 613 nSv h−1). Mamuju is anomalous due to its high average 238U and 232Th concentrations of 22,882 and 33,549 Bq kg−1, respectively, in laterite and rock. High natural radionuclide concentrations of 238U, 232Th, and 40K have also been reported in soil samples from several locations in Mamuju, including Botteng, Northern Botteng, Takandeang, Ahu, and Taan. High radiation levels are related to radioactive mineral occurrences in the Adang volcanic complex, comprised of phonolitoid and foiditoid lithologies. According to the International Atomic Energy Agency (IAEA), uranium deposits can be classified into several types, among them a volcanic-related deposits, which include three sub-types: stratabound, structure-bound, and volcano-sedimentary deposits. This study aims to characterize volcanic rock deposit sub-types in the Mamuju area based on uranium radioisotope measurements. The uranium isotopes were measured using a tandem quadrupole inductively coupled plasma mass spectrometer combined with chemical separation by extraction chromatography using UTEVA resin. The analytical results for the 234U/238U ratios are used to determine the formation characteristics of minerals in each deposit sub-type based on mineral formation age, post-formation processes, and disturbances that affected the formation processes. Based on geochronological calculations using 234U/238U mineralization age, the deposits in the Mamuju area are 0.914–1.11 million years old and are classified as recent mineralization. These data have important implications for tracing uranium source rocks in the Mamuju area and may explain the anomalously high radiation levels in the Mamuju area.

13 July 2024 in Geosciences
Verified
Journal Article
Open access
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Heri SyaefulHeri Syaeful
Heri Syaeful
SBSyaiful Bakhri
Syaiful Bakhri
BMBudi Muljana
Budi Muljana
ASAgus Sumaryanto
Agus Sumaryanto
I Gde SukadanaI Gde Sukadana
I Gde Sukadana
Zufialdi ZakariaZufialdi Zakaria
Zufialdi Zakaria
Research of the depositional environment using geological mapping, petrography, gamma-ray (GR) log, palynology, and foraminifera fossils of the Bojongmanik Formation has led to the formation of several different conclusions about the transition to the marine environment, which are attractive to revisit. The expected results of this research are to determine the paleoenvironment of the Bojongmanik and Serpong Formations based on elemental geochemistry, the development of paleoenvironment proxies based on portable X-ray fluorescence (pXRF) in fluvial to transitional environments studies, and the contribution of paleoenvironment analysis to GR-log facies interpretation. The research methodology starts with GR-log facies analysis, Pearson’s correlation, paleoenvironment analysis based on elemental affinity and elemental ratio, and comparing the paleoenvironment with GR-log-based facies. The paleoenvironment analysis based on elemental geochemistry resulted in the Bojongmanik Formation in the research area deposited at the tidal point bar, lagoon, and shoreface, while the Serpong Formation was deposited at the fluvial point bar and floodplain. Compared to previous research, the Bojongmanik Formation in the research area could be stratigraphically related to the upper Bojongmanik Formation. Proxies based on elemental geochemical affinities of carbonate-associated, carbonate-productivity, terrigenous-associated elements, and redox-sensitive trace elements show contrast changes between facies. Proxies based on the specific ratio show a detailed paleoenvironment for paleoclimate (Sr/Cu), paleosalinity (Sr/Ba), paleoredox (Cu/Zn), paleo-hydrodynamics and water depth (Zr/Rb and Fe/Mn), sediment provenance (Cr/Zr), and siliciclastic-dominated (Zr + Rb)/Sr. Adding a geochemistry element-based paleoenvironment analysis benefits from a more specific justification for GR-log facies interpretation.

13 December 2022
Verified
Book
Open access
NNNgadenin Ngadenin
Ngadenin Ngadenin
Heri SyaefulHeri Syaeful
Heri Syaeful
KWKurnia Setiawan Widana
Kurnia Setiawan Widana
AMAdi Gunawan Muammad
Adi Gunawan Muammad
I Gde SukadanaI Gde Sukadana
I Gde Sukadana
DMDani Poltak Marisi
Dani Poltak Marisi
Uranium merupakan bahan bakar utama reaktor nuklir yang memiliki energi besar. Uranium dapat dimanfaatkan sebagai bahan bakar reaktor nuklir yang dapat menghasilkan listrik dalam kapasitas yang sangat besar. Nuklir merupakan satu-satunya energi yang terbukti dapat dikembangkan di berbagai kondisi lingkungan dan dapat menghasilkan energi listrik secara terus-menerus tanpa emisi karbon dioksida dan polusi udara sehingga dapat dikatakan ramah lingkungan. Buku 50 Tahun Eksplorasi Uranium di Indonesia ini mengulas rangkuman kegiatan serta hasil penelitian dan pengembangan selama 50 tahun Pusat Teknologi Bahan Galian Nuklir (PTBGN) BATAN. Saat ini PTBGN telah berubah menjadi Pusat Riset Teknologi Daur Bahan Bakar Nuklir dan Limbah Radioaktif (PRTDBBNLR) BRIN. Membaca buku ini akan membawa Anda lebih memahami kegiatan eksplorasi uranium di Indonesia. Buku ini dapat menjadi sarana tepat untuk alih iptek bagi masyarakat dan generasi milenial untuk mendalami eksplorasi, penambangan, dan pengolahan uranium pada masa sekarang dan yang akan datang. Selamat Membaca!

2 September 2023 in Migration Letters
Verified
Journal Article
Open access
PDF file
AHAkhmad Muktaf Haifani
Akhmad Muktaf Haifani
HSHadi Suntoko
Hadi Suntoko
AMAdi Gunawan Muammad
Adi Gunawan Muammad
SASiti Alimah
Siti Alimah
Identification and characterization of constituent soil types in the form of Fines Content (FC) values are essential in analyzing the potential of soils to be liquefaction. Multiple Linear Regression is one of the fundamental statistical models used to determine the causality between target and predictor geotechnical parameters.  The study used multilinear regression approaches and artificial neural networks to get optimal results from FC predictions. The study considers the correlation between the SBT Index and FC and several other parameters such as NSPT, Depth, Totally Overburden Stress, Initially Overburden Stress, and Sleeve Friction. The coefficient of determination resulting from the regression process shows a reasonably strong relationship between the independent and target parameters, as much as 61.4%. In comparison, the Neural Network is 96.928%, which indi-cates a nonlinear influence.