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All Journal Journal of Geoscience, Engineering, Environment, and Technology Journal of Science and Applicative Technology Jurnal Biologi Tropis Elipsoida : Jurnal Geodesi dan Geomatika Jurnal Riset Biologi dan Aplikasinya Journal of Multidisciplinary Applied Natural Science Borobudur Journal of Science and Technology Journal of Fundamental Mathematics and Applications (JFMA) International Journal of Geotourism Science and Developmen JAGE Indonesian Journal of Applied Mathematics Communication in Food Science and Technology
Danni Gathot Harbowo
Sedimentology, Stratigraphy, And Geodynamic Research Group, Department Of Geology, Institut Teknologi Sumatera,
Agriculture, Biological Sciences & Forestry Arts Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Immunology & microbiology Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences

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Journal : Journal of Science and Applicative Technology

 1 
Potensi Geodiversity di Sekitar Kawasan Anak Krakatau-Way Kambas, Provinsi Lampung, Sebagai Kandidat Geopark Indonesia Happy Christin Natalia; Danni Gathot Harbowo; Rinaldi Ikhram
Journal of Science and Applicative Technology Vol 5 No 1 (2021): Journal of Science and Applicative Technology June Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v5i1.318

Abstract

The global significance of Krakatau Volcanic Complex and Way Kambas National Park is the best potential areas to be developed as part of a world heritage, particularly as UNESCO Global Geopark. Both of these objects are in the Lampung Province, Indonesia. Soon, it is necessary to identify and make an inventory of key sites that could become the theme of the area. The study of geodiversity and scientific valuation was carried out which referred to the Technical Guidelines for the Assessment of Indonesia Geological Heritage Resources, 2019. Based on these studies and assessments, there are 14 key sites to represent for Geopark Krakatau-Way Kambas themes. These sites are closely related to the evolution of tectonic activity in the Southern Sumatera as well as the dynamics of magmatism and paleovolcanism that have occurred since the Mesozoic which has signification in human history as world heritage.
Statistical Pattern Recognition of Lithosphere Anomalous Activity Along the Indonesian Ring of Fire S, Mika Alvionita; Satria, Ardika; Muliawati, Triyana; Lestari, Fuji; Harbowo, Danni Gathot
Journal of Science and Applicative Technology Vol. 9 No. 1 (2025): Journal of Science and Applicative Technology June Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v9i1.1850

Abstract

The introduction of statistical pattern recognition becomes highly important for assessing disaster threats such as earthquakes. This approach is significantly more comprehensive and suitable for long-term event forecasting. Therefore, in the future, efforts can be promptly made to reduce the risk of disasters resulting from anomalies in lithospheric activity, especially frequent earthquakes in the Sumatra Island region, Indonesia. Statistical pattern analysis of lithospheric activity anomalies can be categorized through classification. Earthquake classification is performed based on magnitude scale and mathematical calculations of earthquake parameter unit conversion. The classification method employed in this research includes machine learning methods like k-nearest neighbor and support vector machine. The evaluation metrics used for machine learning models are model accuracy and confusion matrix tables.
Co-Authors Adelia Azahra Agustina Andre Markus Fernando Lubis Andy Darmawan Azalia Gerungan Azalia Gerungan, Azalia Bilal Al Farishi Erina Rosalia Irda Fuji Lestari Hendry Wijayanti Hutama Juan Daniel Turnip Lea Kristi Agustina Lestari Malasan Mika Alvionita Sitinjak Muliawati Muliawati, Triyana Muztaba Natalia Natalia, Happy Christin Prastyo Puradimadja R Ikhram Raharto Rinaldi Ikhram Satria, Ardika Siti Zahra Sitinjak, Eri Sarmantua Stiva Alouw Stiva Alouw, Stiva Theresia Gerungan Soetamanggala Theresia Gerungan Soetamanggala, Theresia Gerungan Yanti Marito Yusuf