Analisis TRL Dan TAM2 Mine Image Recognition Di Perusahaan Kontraktor Pertambangan Batubara

Sukarno, Nugroho Adisiswanto Sukarno (2025) Analisis TRL Dan TAM2 Mine Image Recognition Di Perusahaan Kontraktor Pertambangan Batubara. Masters thesis, Institut Teknologi Sepuluh November.

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Abstract

Aktivitas operasional pertambangan batubara merupakan aktivitas berisiko tinggi, terutama pada tambang open-pit yang menerapkan konsep deep mining. Salah satu area dengan risiko tinggi (highrisk) adalah titik pembuangan (disposal), di mana pengelolaan risiko safety sangat penting untuk menjamin keselamatan operasional. PT XYZ, yang berlokasi di Jobsite ABC dengan luas area 4105,7 hektar dan memiliki 12 disposal, mengidentifikasi 4 disposal yang termasuk dalam kategori risiko tinggi yang sangat rentan dengan potensi risiko kecelakaan. Sebagai langkah mitigasi, PT XYZ mengembangkan teknologi Mine Image Recognition (MIR) untuk meningkatkan aspek keselamatan di area pertambangan khususnya di area disposal highrisk yang memiliki potensi risiko terjadinya kecelakaan cukup tinggi. Teknologi ini baru diuji coba pada salah satu disposal highrisk tersebut dan dapat meningkatkan monitor dan kontrol di area highrisk. Penelitian ini bertujuan untuk menganalisis dan mengevaluasi tingkat kesiapan teknologi MIR menggunakan metode Technology Readiness Level (TRL), serta mengkaji tingkat penerimaan operator alat berat dalam menggunakan sistem MIR melalui analisis Technology Acceptance Model 2 (TAM2), berdasarkan hasil analisis, teknologi MIR berada pada tingkat kesiapan TRL 9 dengan tingkat pemenuhan 80%. Pada analisis TAM2 terdapat 4 variabel yang signifikan mempengaruhi Usage Behaviour MIR secara langsung. Dalam pengujian juga menunjukkan R-square bernilai diatas 0.75 yang berarti terdapat pengaruh kuat dari pengukuran laten eksogen terhadap laten endogen. Kemudian juga dilakukan analisa Business Model Canvas (BMC) menjadi panduan yang cukup efisien dalam menciptakan value proposition utama berupa peningkatan keselamatan operasional di area disposal high-risk melalui sistem monitoring visual otomatis dan deteksi dini perilaku tidak aman dari Teknologi MIR. Mengingat peran krusial operator sebagai pengguna utama serta objek yang dikontrol perilakunya, penerimaan mereka terhadap sistem MIR menjadi kunci kesuksesan implementasi teknologi ini. Strategi yang dapat dilakukan perusahaan dalam mengoptimalkan penggunaan MIR adalah program perawatan perangkat dan jaringan, pengembangan report untuk realtime monitoring serta program refresh fitur secara berkala ke operator.
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Coal mining operations are high-risk activities, especially in open-pit mines that apply the deep mining concept. One of the highrisk areas is the disposal point, where safety risk management is very important to ensure operational safety. PT XYZ, located in Jobsite ABC with an area of 4105.7 hectares and has 12 disposals, identified 4 disposals that fall into the high-risk category which are very vulnerable to potential accident risks. As a mitigation measure, PT XYZ developed Mine Image Recognition (MIR) technology to improve safety aspects in mining areas, especially in highrisk disposal areas that have a high potential risk of accidents. This technology has just been tested in one of the highrisk disposal areas and can improve monitoring and control in highrisk areas. This study aims to analyze and evaluate the level of readiness of MIR technology using the Technology Readiness Level (TRL) method, and examine the level of acceptance of heavy equipment operators in using the MIR system through Technology Acceptance Model 2 (TAM2) analysis. Based on the results of the analysis, MIR technology is at the TRL 9 readiness level with a fulfillment rate of 80%. In the TAM2 analysis, there are 4 variables that significantly affect MIR Usage Behavior directly. The test also shows that the R-square is above 0.75, which means that there is a strong influence from the measurement of exogenous latents on endogenous latents. Then also conducted a Business Model Canvas (BMC) analysis to be a fairly efficient guide in creating the main value proposition in the form of increasing operational safety in high-risk disposal areas through automated visual monitoring systems and early detection of unsafe behavior from MIR Technology. Given the crucial role of operators as the main users as well as the objects whose behavior is controlled, their acceptance of the MIR system is key to the successful implementation of this technology. Strategies that companies can do in optimizing the use of MIR are device and network maintenance programs, report development for realtime monitoring and regular feature refresh programs for operators.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	MIR, Highrisk, Disposal, Safety, TAM2, TRL, BMC
Subjects:	T Technology > T Technology (General) > T55 Industrial Safety
Divisions:	Interdisciplinary School of Management and Technology (SIMT) > 61101-Master of Technology Management (MMT)
Depositing User:	Nugroho Adisiswanto Sukarno
Date Deposited:	31 Jul 2025 03:21
Last Modified:	31 Jul 2025 03:21
URI:	http://repository.its.ac.id/id/eprint/123783

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