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All Journal Journal of Degraded and Mining Lands Management INTAN Jurnal Penelitian Tambang
Valderama, Aldi Fariz
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Engineering

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ESTIMASI SUMBER DAYA ANDESIT MENGGUNAKAN METODE CROSS SECTION PT. AKAM DI KABUPATEN SORONG PROVINSI PAPUA BARAT Aldi F. Valderama; Ricardo O.M. Hutapea
INTAN Jurnal Penelitian Tambang Vol. 1 No. 1 (2018): INTAN Jurnal Penelitian Tambang
Publisher : Jurusan Teknik Pertambangan 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.v1i1.6

Abstract

One of technical requirements in renewing mining operation permits, according to ‘Peraturan Menteri Energi dan Sumber Daya Mineral Nomor 34 Tahun 2017’, is the balance sheet of resources and reserves. Before the expiration of the production permit of PT. AKAM, it was then needed to calculate the andesite resource in the operation area of PT. AKAM in Sorong, Papua Barat. The Cross Section method is considered to be the best way to estimate the andesite resource because this method can be utilised to find out the layout of the overburden and mineral. The results highlighted that andesite resource in the operation area of PT. AKAM was approximately 405.780.313 m³, with a cover layer of 498,937 m³. The productivity age of PT. AKAM is predicted to be 49,64 years, with the annual production of 8.112 m³
PERENCANAAN DESAIN DRAINASE BERBASIS DATA PENGINDERAAN JAUH PADA TAMBANG TERBUKA PT. SDIC PAPUA CEMENT KABUPATEN MANOKWARI Aldi Fariz Valderama; Sudaryatno; Taufik Hery Purwanto
INTAN Jurnal Penelitian Tambang Vol. 4 No. 1 (2021): INTAN Jurnal Penelitian Tambang
Publisher : Jurusan Teknik Pertambangan Program Studi S1 Teknik Pertambangan Fakultas Teknik Pertambangan dan Perminyakan Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (761.18 KB) | DOI: 10.56139/intan.v4i1.83

Abstract

Mining is an activity that is done to take materials that have economic value, mining activities are activities that change the land and change the shape of the topography. This change in shape can have a significant impact on surface runoff (Run Off) changes. The calculation of runoff coefficients uses The Hassing Method by utilizing remote sensing data and using rational methods to calculate surface runoff discharge. The purpose of this research is to know the good drainage design at mining sites PT. SDIC Papua Cement by using remote sensing data and Geographic Information System (SIG). The remote sensing data used is PlanetScope imagery and DEM data from AlosPalsar imagery. The accuracy test result obtained by PlanetScope imagery has an accuracy rate of 90.9%. Based on the data of the highest rainfall at the location of 189.6 mm. The result of runoff coefficient using The Hassing Method in the rain catchment area 1 (DTH 1) obtained a result of 0.51. With the discharge of surface runoff using Rational Method obtained the result of 0.3 m³/second. The result of the calculation of drainage design with the basic width of drainage (b) of 0.39 meters, the surface height of the channel base (y) of 0.47 meters, total drainage height (Tt) of 0.88 meters, the width of water surface (Ta) obtained results of 1.35 meters and width of drainage channels (Ts) is 1.72 meters.
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.
Probabilistic slope stability of alluvial materials in Maruni River, Papua, using MC-LHS and Bishop-Spencer methods Lamma, Louis Hermanus; Setiawan, Arif; Valderama, Aldi Fariz; Aras, Firwansyah; Paradida, Yulia Putri
Journal of Degraded and Mining Lands Management Vol. 13 No. 3 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.133.10821

Abstract

The Maruni River in Manokwari Regency is one of the locations with sand and gravel resources, which are used as raw materials for infrastructure development. In the vicinity of the river, there is a slope with a steep inclination (>60°) and a height of approximately 8 m, which exhibits indications of minor landslides, suggesting potential instability. This condition necessitates a more comprehensive evaluation of slope stability. Therefore, this study aimed to evaluate slope stability using a probabilistic approach to obtain a more representative assessment of failure risk. The analysis was conducted using the Bishop and Spencer methods, combined with Monte Carlo (MC) and Latin Hypercube Sampling (LHS) techniques. Distribution tests were conducted for the cohesion, internal friction angle, and bulk density parameters of the original soil using Kolmogorov-Smirnov (KS), Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC). Based on the analysis, it is recommended to choose the Lognormal distribution for cohesion and internal friction angle, while the Normal distribution is more suitable for specific gravity. The findings indicate that the slope is marginally stable because its safety factor is approximately (close to) one, and the probability of failure does not decrease significantly. In stability assessment, the Spencer method provides a higher safety factor than the Bishop method; in addition, the LHS technique shows greater sensitivity than the MC method. Therefore, the application of probabilistic analysis with the integration of the Spencer method is considered more effective for evaluating slope stability.
Co-Authors Aras, Firwansyah Arif Setiawan Habibi, Syavitra L. P. Iba, Amos Laitupa, Karmila Lamma, Louis Hermanus Nasir, Muh. Irwana Segara Popoi, Taufik Syahrul Riansyah, Ardi Ricardo O.M. Hutapea Siagian, Adi Frianda Sudaryatno Taplo, Yulianto Taufik Hery Purwanto Yulia Putri Paradida