PROMINE
https://journal.ubb.ac.id/promine
<hr> <div><strong>p-ISSN 2354-7316 </strong><em>(Media Print)</em></div> <div><strong>e-ISSN 2620-7737 </strong><em>(Media Online)</em></div> <div align="justify"><strong>PROMINE</strong> is a scientific periodical publication of Department of Mining Engineering, University of Bangka Belitung, which is published every <strong>June</strong> and <strong>December</strong> in a year which covers the fields of Exploration (Geology and Geophysics), Geotechnical / Geomechanics, Minerba Processing, Mining Environment, Reclamation and Post-Mining. <strong>PROMINE</strong> has become a journal accredited by the Ministry of Research, Technology and Higher Education based on Number SK 36/E/KPT/2019 about the Results of Scientific Journal Accreditation in Period VII of 2019 . Defined as an accredited scientific journal ranked 4. Accreditation is valid for 5 (five) years of Vol. 5 No.2, 2018 until Vol. 10 No.1, 2023.</div> <div><iframe style="border: 0px #ffffff none;" src="https://author.my.id/widget/statistik.php?sinta=5914&gs=PRHbZF0AAAAJ&sc=3&link=" name="statistik" width="50%" height="265px" frameborder="0" marginwidth="0px" marginheight="0px" scrolling="no"></iframe></div>Jurusan Teknik Pertambangan, Fakultas Sains dan Teknik, Universitas Bangka Belitungen-USPROMINE2354-7316Open Mining Dataset Modeling at PT. United Tractors Semen Gresik with Artificial Neural Network Method
https://journal.ubb.ac.id/promine/article/view/3311
<p><em>The Mining industry in Indonesia plays a vital role as a source of state income and an integral part of the industrial progress of the nation. The majority of the mining industry in Indonesia employs open-pit mining. One of the weather factors that can be an obstacle in open-pit mining is rainfall. Therefore, this research focused on modelling data from rainfall, working hours and production outcomes. It applied the Artificial Neural Network algorithm with an input layer consisting of two neurons, a hidden layer with two neurons, and an output layer. The data on Rainfall working hours, and production results were trained to produce a model that, later on, will be used to predict the value of production results.</em> <em>For model testing, this study uses two parameters, namely learning rate and epoch. From 90 times of testing, the best model was obtained with a learning rate value of 0.3 and an epoch of 1000 which resulted in an RMSE error of 0.004838259401280330 </em></p>Muchamad KurniawanYazid FananiSiti AgustiniAldi Wachid
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http://creativecommons.org/licenses/by/4.0
2024-06-122024-06-121211610.33019/jp.v12i1.3311Study of Lineament and Tectonic Structure in the Tanjung Kurung Area, Kaur Regency, Bengkulu
https://journal.ubb.ac.id/promine/article/view/5126
<p><em>Identification and interpretation of landscape lineaments and measurements of geological structural components in rock outcrops have been carried out in order to reveal the development of rock sequence deformation in the study area. This research was conducted in Tanjung Kurung Village and its surroundings. The regional observation area is included in the Manna Enggano Sheet Geological Map (Amin, T, C. et al, 1993), while tectonically it is located in the Bengkulu basin which previous researchers categorized as a fore-arc basin (Sapiie et al ., 2015). This study uses two approaches, namely lineament analysis with national digital elevation model (DEMNas) image interpretation and surface geological mapping with observation of rock outcrops or structures. The DEMNas image used in this research has been accessed from </em><em><u>https://tanahair.indonesia.go.id/portal-web</u></em> <em>which is owned by the Geospatial Information Agency (BIG). The geological structure of the Bengkulu Basin is divided into two general directions, namely the North-West-Southeast and North-East-Southwest directions. Structures that trend northwest-southeast are the Tanjung Sakti fault and the Ketaun fault. These faults are directly related to the Semangko Fault pattern and the Mentawai Fault pattern (Yulihanto et al., 1995).</em></p>Ganda Tua Gilbert SilabanEdy Sutriyono
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2024-10-112024-10-1112171410.33019/jp.v12i1.5126