Claim Missing Document
Check
Articles

Found 5 Documents
Search

BIOSTRATIGRAFI NANNOPLANKTON DAERAH RAJAMANDALA Wibowo, Unggul Prasetyo; Kapid, Rubiyanto
Jurnal Geologi dan Sumberdaya Mineral Vol 15, No 4 (2014): Jurnal Geologi dan Sumberdaya Mineral
Publisher : Pusat Survei Geologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (383.395 KB)

Abstract

Analisis biostratigrafi nannoplankton dilakukan pada 26 sampel spot sampling yang berasal dari daerah Rajamandala, Padalarang, Kabupaten Bandung, Provinsi Jawa Barat. Hasil data lapangan pada lokasi penelitian di daerah Rajamandala dijumpai adanya 6 satuan batuan dimana berdasarkan analisis biostratigrafi nannoplankton di 6 satuan batuan tersebut didapatkan kisaran umur sebagai berikut: satuan batupasir konglomeratan berumur tidak lebih muda dari Eosen Akhir dapat disebandingkan dengan Formasi Bayah yang berumur Eosen Tengah-Akhir; satuan batulempung berumur Eosen Akhir - Oligosen Akhir dapat disebandingkan dengan Formasi Batuasih yang berumur Oligosen Akhir; satuan napal berumur Oligosen Akhir - Miosen Awal dapat disebandingkan dengan Anggota Napal Formasi Rajamandala yang berumur Oligosen Akhir - Miosen Awal; Satuan batupasir-batulempung berumur Miosen Awal – Miosen Tengah bagian bawah dapat disebandingkan dengan Formasi Citarum yang berumur Miosen Awal; satuan breksi vulkanik berumur Miosen Tengah dapat disebandingkan dengan Formasi Saguling yang berumur Miosen Tengah; sedangkan satuan batuan vulkanik tufaan yang menutupi Formasi Saguling dapat disebandingkan dengan satuan batuan produk vulkanik tufan Kuarter.Kata kunci: Biostratigrafi, nannoplankton, nannofosil, Rajamandala.
KONDISI PAELOSALINITAS PADA MIOSEN AKHIR–PLEISTOSEN DI CEKUNGAN JAWA TIMUR UTARA, INDONESIA, BERDASARKAN PERUBAHAN POPULASI NANOPLANKTON Wahyu Dwijo Santoso; Halmi Insani; Rubiyanto Kapid
JURNAL RISET GEOLOGI DAN PERTAMBANGAN Vol 24, No 1 (2014)
Publisher : Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1987.875 KB) | DOI: 10.14203/risetgeotam2014.v24.77

Abstract

Abstract Quantitative biostratigraphy analysis by observing Sphenolithus abies and Helicosphaera carteri could predict paleosalinity changes at a sedimentary basin diachronically. Hyposaline conditions can be investigated from the abundance changes of Helicosphaera carteri and Calcidiscus leptoporus counts. Along this line, the increasing number of Sphenolithus abies demonstrates particular states of normal saline. Paleosalinity changes in the North East Java Basin, from Late Miocene to Pleistocene were identified from the top of Wonocolo Formation to bottom of Ledok Formation. Paleosalinity along this episode was interpreted as hyposaline condition. While at the top of Ledok Formation to Mundu Formation; paleosalinity had changed to normal saline. Furthermore, environmental conditions return to hyposaline when Selorejo Formation sediment was deposited. And during the deposition of Lidah Formation, deposition environment had returned to the normal saline.
Efficient 1D Heat Equation Solver: Leveraging Numba in Python Herho, Sandy Hardian Susanto; Kaban, Siti Nurzannah; Irawan, Dasapta Erwin; Kapid, Rubiyanto
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 25 No. 02 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol25-iss02/487

Abstract

This paper presents a Numba-based solver for the 1D Heat Equation, seamlessly blending Python’s readability with Numba’s dynamic Just-In-Time (JIT) compilation. The explicit method exhibits a notable runtime reduction from 8.324 s to 4.035 s, while the implicit method sees a more pronounced improvement, decreasing from 9.970 s to 1.195 s. Statistical tests confirm the statistical significance of these efficiency gains. Future research directions include extending the solver to multidimensional heat equations, exploring advanced parallelization techniques, and implementing dynamic parameter optimization strategies. Collaboration with domain experts for real-world applications is also envisioned to validate the solver’s performance and impact. In summary, the symbiosis of Python and Numba in crafting an optimized 1D Heat Equation solver marks a pivotal advancement in efficient numerical solutions. This research holds promise for diverse scientific
PALEOTEMPERATURE INTERPRETATION BASED ON CALCAREOUS NANNOPLANKTON OF KEDUNG SUMBER RIVER SECTION, SOKO, BOJONEGORO, EAST JAVA Choiriah, Siti Umiyatun; Prasetyadi, Carolus; Kapid, Rubiyanto; Yudiantoro, Dwi Fitri; Syaifudin, Muhammad
Journal TECHNO Vol. 6 No. 1 (2020): November
Publisher : Universitas Pembangunan Nasional Veteran Yogayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/journal techno.v6i1.4226

Abstract

Analysis of 64 samples taken from the Kedung Sumber River section represent of Kalibeng Formation, Atasangin Member, Klitik Member, Sonde Formation, and Pucangan Formation. The detail of nannoplankton analysis showing that temperature changes influenced to the growth of nannoplankton.  Result of this study reveals that a number of 32 zones paleotemperature change. Age of the Kalibeng Formation is Late Miocene to Early Pliocene (NN10-NN13), divided into nine zones: 1/warm, 2/cold, 3/transitional, 4/warm, 5/cold, 6/warm, 7/cold, 8/cold, 9/warm zone. Atasangin Member are divided into 3 zones: 10/cold, 11/warm, 12/cold zone. Age of this member is Early Pliocene (NN13-NN14). Klitik Member is Early Pliocene to Late Pliocene (NN14-NN17), and divided to 7 zones: 13/transitional, 14/warm, 15/cold, 16/warm, 17/cold, 18/warm zone. Age of Sonde Formation is NN18-NN20 (Late Pliocene to Early Pleistocene), have into 7 zones: 19/cold, 20/warm, 21/transitional, 22/cold, 23/transitional, 24/cold, 25/transitional, 26/ cold, 27/transitional zone, 28/warm, 29/cold zone. Pucangan Formation are divided into 3 zones: 30/warm, 31/transitional, 32/cold zone. Age of this formation is Pleistocene (NN20-NN21).
Quaternary nannoplankton in the Northeast Java Basin Kapid, Rubiyanto; Santoso, Wahyu Dwijo; Insani, Halmi
Berita Sedimentologi Vol 47, No 3 (2021)
Publisher : Ikatan Ahli Geologi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (876.714 KB) | DOI: 10.51835/bsed.2021.47.3.357

Abstract

In Indonesia, nannofosils are commonly used for age estimation on Miocene marine sediment, but they are rarely performed on Quaternary sediment. This paper introduces two nannofossil biozones, Martini (1971) and Backman et al. (2012) and the comparison between the two biozones. An uninterrupted interval of marine sediments was described and picked for quantitative nannoplankton analysis. The samples were taken from Ledok Formation to Lidah Formation in Pati Region, Northeast Java Basin. The samples were prepared by quick smear slides method and and analyzed by quantitative field of view method. Martini (1971) biozone can be used to subdivide the Late Miocene–Pleistocene sediments into 5 biozones, but Backman et al. (2012) can be used to classify the same sediments into 8 biozones. The biozone subdivision from Backman et al. (2012) is more detailed than that of Martini (1971) because an updated dating and biozone in the three new dating zone data.