Analisa Perencanaan Jalur Hauling Tambang Berbasis UAV LiDAR Menggunakan Fuzzy Multi Criteria Decision Making Dan Least Cost Path Analysis

Pradana, Gilang Diva (2026) Analisa Perencanaan Jalur Hauling Tambang Berbasis UAV LiDAR Menggunakan Fuzzy Multi Criteria Decision Making Dan Least Cost Path Analysis. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Perencanaan jalur angkut tambang merupakan bagian penting dalam sistem logistik pertambangan karena berpengaruh langsung terhadap efisiensi biaya operasional, waktu tempuh, dan keselamatan kerja, terutama pada wilayah tambang bermedan berbukit. Penelitian ini menyusun dan menerapkan pendekatan perencanaan jalur hauling tambang menuju pelabuhan berbasis data topografi resolusi tinggi UAV LiDAR yang dikombinasikan dengan Fuzzy Multi Criteria Decision Making dan Least Cost Path Analysis. Data UAV LiDAR diolah melalui koreksi trajektori metode Post Processed Kinematic dengan base stasiun CORS BIG, dilanjutkan klasifikasi titik ground menggunakan algoritma improved progressive TIN densification hingga terbentuk Digital Terrain Model (DTM). Uji akurasi vertikal terhadap 12 Independent Check Point menghasilkan RMSEz 0,1538 m dan LE90 0,2530 m sehingga DTM memenuhi ketelitian kelas 1 skala 1:2.500 menurut Perka BIG Nomor 6 Tahun 2018. Parameter turunan berupa slope dan absolute curvature distandardisasi menggunakan fungsi keanggotaan fuzzy yang ambangnya diikat pada spesifikasi jalan hauling kendaraan rencana dan Kepmen ESDM Nomor 1827 K/30/MEM/2018, kemudian digabungkan menjadi cost surface dengan kendala sungai dan jalan eksisting sebagai dasar penelusuran rute optimal melalui LCPA. Hasil penelitian menunjukkan rute optimal baseline sepanjang 29.706,655 m dengan mean slope 8,11% dan proporsi segmen dengan kemiringan di atas 25% hanya 1,279%. Uji sensitivitas enam skenario parameter memperlihatkan pola trade off yang konsisten antara efisiensi lintasan dan kelayakan topografi, dengan skenario gamma longgar memberikan kombinasi performa terbaik. Rute optimal selanjutnya dikembangkan menjadi desain jalan tiga dimensi sesuai spesifikasi geometrik kendaraan rencana, dan evaluasi kelayakan konstruktif menunjukkan desain jalan hasil LCP memerlukan volume galian 14.396.412,18 m³ dan timbunan 1.448.577,54 m³, lebih kecil sekitar 32,78% dan 28,69% dibandingkan desain jalan Perusahaan. Hasil tersebut menunjukkan bahwa integrasi UAV LiDAR, logika fuzzy, dan LCPA mampu menghasilkan jalur hauling yang layak secara topografis, lebih hemat pekerjaan tanah, serta dapat diterapkan sebagai kerangka kerja perencanaan pada wilayah pertambangan bermedan kompleks.
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Haul road planning is an essential part of mining logistics because it directly affects operational cost efficiency, travel time, and work safety, particularly in hilly mining terrain. This study develops and applies a mine to port haul road planning approach based on high resolution UAV LiDAR topographic data combined with Fuzzy Multi Criteria Decision Making and Least Cost Path Analysis . The UAV LiDAR data were processed through Post Processed Kinematic trajectory correction using an InaCORS BIG base station, followed by ground point classification using the improved progressive TIN densification algorithm to generate a Digital Terrain Model (DTM). Vertical accuracy assessment against 12 Independent Check Points yielded an RMSEz of 0.1538 m and an LE90 of 0.2530 m, so the DTM satisfies class 1 accuracy at a 1:2.500 map scale according to Perka BIG No. 6 of 2018. The derived parameters, slope and absolute curvature, were standardized using fuzzy membership functions whose thresholds were anchored to the haul road specifications of the design vehicle and Ministerial Decree ESDM No. 1827 K/30/MEM/2018, then combined into a cost surface with rivers and existing roads as constraints for optimal route tracing using LCPA. The results show an optimal baseline route of 29.706,655 m with a mean slope of 8,11% and only 1,279% of segments steeper than 25%. A sensitivity test of six parameter scenarios revealed consistent trade off patterns between route efficiency and topographic feasibility, with the relaxed gamma scenario providing the best overall performance. The optimal route was then developed into a three-dimensional road design following the geometric specifications of the design vehicle, and the constructability evaluation shows that the LCP based design requires 14.396.412.18 m³ of cut and 1.448.577,54 m³ of fill, approximately 32.78% and 28.69% smaller than the company road design. These findings demonstrate that the integration of UAV LiDAR, fuzzy logic, and LCPA produces a haul road that is topographically feasible and more efficient in earthworks, and can be applied as a planning framework for mining areas with complex terrain.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	UAV LiDAR, jalur hauling, logika fuzzy, least cost path analysis, SIG,UAV LiDAR, haul road, fuzzy logic, least cost path analysis, GIS
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems. T Technology > TN Mining engineering. Metallurgy > TN341 Mine haulage.
Divisions:	Faculty of Civil Engineering and Planning > Geomatics Engineering > 29101-(S2) Master Thesis
Depositing User:	Gilang Diva Pradana
Date Deposited:	24 Jul 2026 07:00
Last Modified:	24 Jul 2026 07:00
URI:	http://repository.its.ac.id/id/eprint/137119

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