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Contact Name
Arif Setiawan
Contact Email
a.setiawan@unipa.ac.id
Phone
+6281248459584
Journal Mail Official
a.setiawan@unipa.ac.id
Editorial Address
Jl. Gn. Salju, Amban, Kec. Manokwari Barat. Kabupaten Manokwari, Papua Barat. 98314
Location
Kab. manokwari,
Papua barat
INDONESIA
INTAN Jurnal Penelitian Tambang
Published by Universitas Papua
ISSN : 26553473     EISSN : 27232727     DOI : https://doi.org/10.56139/intan.v4i2.85
Fokus dan lingkup Jurnal INTAN adalah Pertambangan baik dalam pengelolaan dan pengusahaan mineral atau batubara yang meliputi eksplorasi, konstruksi, penambangan, pengolahan dan/atau pemurnian atau pengembangan dan/atau pemanfaatan, pengangkutan dan penjualan, kegiatan reklamasi dan pascatambang, kebijakan-kebijakan ekonomi, lingkungan, dan sosial di bidang pertambangan mineral dan batubara. Jadi Jurnal Intan merupakan media untuk menyalurkan pemahaman tentang aspek-aspek sains, teknologi, ekonomi, sosial dan lingkungan dari dunia pertambangan berupa hasil penelitian lapangan atau laboratorium maupun studi pustaka.
Articles 124 Documents
GLOBAL GOLD PRICE VOLATILITY AND ITS CORRELATION TO RESOURCE AND RESERVE DYNAMICS AT PT MERDEKA COPPER GOLD TBK Utari Retno Sulistyo Rini; Fanteri Aji Dharma Suparno; Siti Aminah; Haeruddin
INTAN Jurnal Penelitian Tambang Vol. 8 No. 2 (2025): INTAN: Jurnal Penelitian Tambang
Publisher : Program Studi S1 Teknik Pertambangan Fakultas Teknik Pertambangan dan Perminyakan Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56139/intan.v8i2.346

Abstract

Gold (Au) commonly occurs as nuggets or grains in rock veins and alluvial deposits. Because of its scarcity, chemical stability, and distinctive properties, gold commands higher market prices than base metals. Global gold price volatility has a significant impact on the strategic decisions of mining companies. This study aims to quantify the correlation between international gold price fluctuations and the dynamics of gold resources and reserves at PT Merdeka Copper Gold Tbk. Using a quantitative approach, the average gold prices and the company's annually reported resource and reserve figures were analyzed. The Pearson correlation coefficient was employed to measure the strength and direction of the relationship. The results reveal a robust and statistically significant negative correlation. This inverse relationship suggests that periods of high price volatility are associated with a decrease in the company's reported gold resources and reserves. The findings highlight the significant impact of external market dynamics on resource management. It is recommended that stakeholders incorporate market volatility forecasts into long-term strategic planning and resource valuation models to enhance resilience.
GEOGRAPHIC INFORMATION SYSTEM (GIS) APPLICATION FOR MAPPING INFRASTRUCTURE AND TOURISM POTENTIAL IN MANSINAM VILLAGE Karubaba, Andrew Federico; Kainama, Agus; Yemima, Hulda; Tinungki, Sheila Maria; Ainun, Annisa Nur; Behuku, Azazia; Dora, Syeli Patricia Cleo; Sabandar, Ofel Yakhin
INTAN Jurnal Penelitian Tambang Vol. 8 No. 2 (2025): INTAN: Jurnal Penelitian Tambang
Publisher : Program Studi S1 Teknik Pertambangan Fakultas Teknik Pertambangan dan Perminyakan Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56139/intan.v8i2.333

Abstract

This study aims to provide accurate spatial data to support ecotourism planning in Mansinam Village through the application of a Geographic Information System (GIS). Field data acquisition was conducted using a handheld GPS to record the coordinates of infrastructure and tourist attractions. The data was then processed in ArcGIS software through the stages of georeferencing, digitization, overlay analysis, and thematic map creation. This follows spatial mapping standards commonly used in geological mapping and spatial analysis activities in the mining sector. This study produced two thematic maps: a Settlement Map and a Map of Tourist Attraction Locations in Mansinam Village. Both maps provide spatial information on settlement locations, accessibility levels, and the distribution of natural, cultural, religious, and historical tourist attractions. The spatial analysis demonstrates the relationship between accessibility and tourism development potential, while also identifying locations requiring infrastructure improvements. In addition to contributing to tourism planning, the mapping process used also demonstrates methodological alignment with geological mapping and spatial analysis practices commonly used in the mining sector. The findings of this study are expected to provide an empirical basis for local governments and stakeholders in formulating more targeted and sustainable regional development strategies.
PREDICTION OF SETTLEMENT AND LAND USE CHANGES ON MANSINAM ISLAND FROM 2025 TO 2031 USING THE CELLULAR AUTOMATA SIMULATION METHOD Valderama, Aldi Fariz; Taplo, Yulianto; Riansyah, Ardi; Habibi, Syavitra L. P.; Siagian, Adi Frianda; Popoi, Taufik Syahrul; Nasir, Muh. Irwana Segara; Iba, Amos; Laitupa, Karmila
INTAN Jurnal Penelitian Tambang Vol. 8 No. 2 (2025): INTAN: Jurnal Penelitian Tambang
Publisher : Program Studi S1 Teknik Pertambangan Fakultas Teknik Pertambangan dan Perminyakan Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56139/intan.v8i2.337

Abstract

Indonesia, as an archipelagic country, faces development challenges on its small islands, including Mansinam Island. This study aims to predict settlement and land cover changes on Mansinam Island for the period 2025–2031. The data used were surface reflectance-corrected Sentinel-2 imagery with a spatial resolution of 10 meters. The imagery was acquired in 2019, 2022, and 2025. Land cover classification was performed using a supervised classification method with the minimum distance algorithm, achieving an accuracy of 87.82%. Land change prediction modeling was carried out through land use change analysis and simulation using the Cellular Automata (CA) and Artificial Neural Network-Cellular Automata (ANN-CA) models. The model produced a Percent of Correctness of 89.96%. The simulation results indicate that from 2025 to 2031 there will be no significant land change, with transformed land areas of 43.85 ha in 2025, 42.62 ha in 2028, and 42.64 ha in 2031. The results also show that the development rate on Mansinam Island tends to slow down.
DESIGN OF PIT X BASED ON PRODUCTION TARGETS USING MINE SCHEDULING CONCEPT AT PT Y Ismail, Ardhan; Mochamad Gaharu Dida Devedo; Pontus, Albertus Juvensius; Thomas , Anita oktoviana L.P.G.M.
INTAN Jurnal Penelitian Tambang Vol. 8 No. 2 (2025): INTAN: Jurnal Penelitian Tambang
Publisher : Program Studi S1 Teknik Pertambangan Fakultas Teknik Pertambangan dan Perminyakan Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56139/intan.v8i2.349

Abstract

Pit design in surface mining requires a systematic approach that considers operational capacity and efficiency to ensure optimal production target achievement. In the actual condition of the second quarter of 2025, pit X design at PT Y was carried out manually using a trial-and-error method. This method was time-consuming and less flexible to parameter changes, and caused significant deviations from production targets, with overburden reaching 110%, coal only 89%, and stripping ratio increasing to 4.19 from the target of 3.39. This study aims to develop pit design based on Mine Scheduling Concept using SPRY Scheduler software to improve operational effectiveness and efficiency. An applied quantitative method was implemented by integrating reserve data from Minescape, heavy equipment parameters including availability, utilisation, and hourly rate, as well as a mining calendar aligned with operational conditions in the third quarter of 2025. The results show that the generated pit design achieves production targets with very high accuracy: overburden of 4,093,991 Bcm with a deviation of -0.02%, coal of 1,206,663 MT with a deviation of 0.00%, and a stripping ratio of 3.39 as targeted. The application of SPRY Scheduler produces measurable, accurate, and adaptive pit designs without trial-and-error processes, supporting efficient and sustainable mine planning.

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