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Human Reliability menggunakan Metode Fuzzy-HEART pada Pekerjaan Material Handling Tambang Bawah Tanah

HIGEIA (Journal of Public Health Research and Development) · Vol. 8 No. 2 (2024) · pp. 198–212

DOI
10.15294/higeia.v8i1.77854
ISSN
2541-5581, 2541-5603
Published
2024-10-25
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

Industri pertambangan memiliki potensi bahaya yang tinggi dibandingkan industri lain, dengan potensi kecelakaan yang tingkat keparahannya tinggi. Kecelakaan pertambangan sering disebabkan oleh human error, khususnya pada pekerjaan material handling, dengan menyumbang hampir 85% dari seluruh kecelakaan pertambangan. Upaya untuk mengurangi human error dilakukan melalui analisis keandalan manusia, dengan metode Fuzzy-HEART. Penelitian ini bertujuan untuk menilai keandalan manusia dalam pekerjaan material handling tambang bawah tanah, yaitu pada pekerjaan ground support, drilling, mucking, hauling, dan dumping, dengan menggunakan mekanikal handling (boom truck, jumbo drill, dan LHD Loader) dan manual handling. Penilaian didasarkan pada justifikasi responden ahli sebanyak 3 responden dari kru K3 menggunakan teknik purposive sampling. Nilai akhir yang dihasilkan yaitu nilai Human Error Probability (HEP), yang memiliki rentang 0-1. Nilai lebih dari 1 berarti potensi human error lebih dari 100%. Nilai HEP tertinggi pada mekanikal handling (boom truck: aktivitas 3.7 HEP=1.02; jumbo drill: aktivitas 4.2 HEP=2.01; LHD Loader: mucking - aktivitas 6.1 HEP=2.81, hauling - aktivitas 7.1 HEP=1.66, dumping - aktivitas 8.2 HEP=3.16) dan manual handling (aktivitas 2.4 dan 3.2 HEP=2.07). The mining industry poses higher potential hazards than other industries with a high severity of accidents. Human errors, particularly in material handling tasks contributing up to 85% cases. The attempt to minimize human errors is conducted through Human Reliability Analysis (HRA) using the Fuzzy-HEART method. This research aims to analyze human reliability in underground mining material handling tasks, such as ground support, drilling, mucking, hauling, and dumping. Both mechanical handling (boom truck, jumbo drill, and LHD Loader) and manual handling are analyzed. The assessment is based on the expert justification from 3 HSE crew using purposive sampling technique. The final value from the assessment is the Human Error Probability (HEP), within the 0-1 range. Values exceeding 1 indicate a human error potential exceeding 100%. Highest HEP values occur in mechanical tasks (boom truck: subtask 3.7 HEP=1.02; jumbo drill: subtask 4.2 HEP=2.01; LHD Loader: mucking - subtask 6.1 HEP=2.81, hauling - subtask 7.1 HEP=1.66, dumping - subtask 8.2 HEP=3.16) and manual handling (subtask 2.4 and 3.2 HEP=2.07).

Collaboration network of the authors

40 authors · 63 co-authorship links · showing the 40 most connected

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  • Institut Teknologi Nasional Bandung
  • Affiliation unknown
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  • Same organisation
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Show as table
Co-authorOrganisationJoint articles
Evi WidowatiAffiliation unknown5
Risa Anggita PutriAffiliation unknown3
Hanif Satria FebrianandaAffiliation unknown3
Ummi Nur Laila SulistyaniAffiliation unknown2
Aza Putri AnisaAffiliation unknown2
Ayu Fadilah WahidAffiliation unknown2
Fitri IndrawatiAffiliation unknown1
Laela FitrianaAffiliation unknown1
Dinda Nur SyakbaniaAffiliation unknown1
Muhammad Satria Adi RachimAffiliation unknown1
Bambang WahyonoAffiliation unknown1
Lidia Sarah FairyoAffiliation unknown1
Yunita Dyah Puspita SantikAffiliation unknown1
Renita MuzalfahAffiliation unknown1
Miranda mirandaAffiliation unknown1
Avilia Ayu Setyo BudiAffiliation unknown1
Lugas Yan PrastowoAffiliation unknown1
Sugiharto SugihartoAffiliation unknown1
Herry KoesyantoAffiliation unknown1
Eko HarjantoAffiliation unknown1
Nia Noor SafitriAffiliation unknown1
Ulfa Laela FarhatiAffiliation unknown1
Raihan Kenang TiasnaAffiliation unknown1
Sinta Nirawati DewiAffiliation unknown1
Sherli Jesinata SafitriAffiliation unknown1
Nizham Al MulkAffiliation unknown1
Violindra AmaliaAffiliation unknown1
Wulan Dwi LestariAffiliation unknown1
Dicky DarmawanInstitut Teknologi Nasional Bandung1
Toriq FaturahmanAffiliation unknown1
Laili Meiranda MahlithosikhaAffiliation unknown1
Junio Agam MahendraAffiliation unknown1
Rr. Nirmala Ficky SebrinaAffiliation unknown1
Ryan Wahyu DwiseptiantoAffiliation unknown1
Bagas AriyantoAffiliation unknown1
Nur Kholipah YuniatiAffiliation unknown1
Hizkia Aldo CheisarioAffiliation unknown1
Adhe Aprilia NurshaviraAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/higeia/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Human Reliability menggunakan Metode Fuzzy-HEART pada Pekerjaan Material  Handling Tambang Bawah Tanah</dc:title>
	<dc:creator>Putra, Oky Aristantiko</dc:creator>
	<dc:creator>Wahyuningsih, Anik Setyo</dc:creator>
	<dc:description xml:lang="en-US">Industri pertambangan memiliki potensi bahaya yang tinggi dibandingkan industri lain, dengan potensi kecelakaan yang tingkat keparahannya tinggi. Kecelakaan pertambangan sering disebabkan oleh human error, khususnya pada pekerjaan material handling, dengan menyumbang hampir 85% dari seluruh kecelakaan pertambangan. Upaya untuk mengurangi human error dilakukan melalui analisis keandalan manusia, dengan metode Fuzzy-HEART. Penelitian ini bertujuan untuk menilai keandalan manusia dalam pekerjaan material handling tambang bawah tanah, yaitu pada pekerjaan ground support, drilling, mucking, hauling, dan dumping, dengan menggunakan mekanikal handling (boom truck, jumbo drill, dan LHD Loader) dan manual handling. Penilaian didasarkan pada justifikasi responden ahli sebanyak 3 responden dari kru K3 menggunakan teknik purposive sampling. Nilai akhir yang dihasilkan yaitu nilai Human Error Probability (HEP), yang memiliki rentang 0-1. Nilai lebih dari 1 berarti potensi human error lebih dari 100%. Nilai HEP tertinggi pada mekanikal handling (boom truck: aktivitas 3.7 HEP=1.02; jumbo drill: aktivitas 4.2 HEP=2.01; LHD Loader: mucking - aktivitas 6.1 HEP=2.81, hauling - aktivitas 7.1 HEP=1.66, dumping - aktivitas 8.2 HEP=3.16) dan manual handling (aktivitas 2.4 dan 3.2 HEP=2.07).
The mining industry poses higher potential hazards than other industries with a high severity of accidents. Human errors, particularly in material handling tasks contributing up to 85% cases. The attempt to minimize human errors is conducted through Human Reliability Analysis (HRA) using the Fuzzy-HEART method. This research aims to analyze human reliability in underground mining material handling tasks, such as ground support, drilling, mucking, hauling, and dumping. Both mechanical handling (boom truck, jumbo drill, and LHD Loader) and manual handling are analyzed. The assessment is based on the expert justification from 3 HSE crew using purposive sampling technique. The final value from the assessment is the Human Error Probability (HEP), within the 0-1 range. Values exceeding 1 indicate a human error potential exceeding 100%. Highest HEP values occur in mechanical tasks (boom truck: subtask 3.7 HEP=1.02; jumbo drill: subtask 4.2 HEP=2.01; LHD Loader: mucking - subtask 6.1 HEP=2.81, hauling - subtask 7.1 HEP=1.66, dumping - subtask 8.2 HEP=3.16) and manual handling (subtask 2.4 and 3.2 HEP=2.07).</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2024-10-25</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/higeia/article/view/77854</dc:identifier>
	<dc:identifier>10.15294/higeia.v8i1.77854</dc:identifier>
	<dc:source xml:lang="en-US">HIGEIA (Journal of Public Health Research and Development); Vol 8 No 2 (2024): April 2024; 198-212</dc:source>
	<dc:source>2541-5581</dc:source>
	<dc:source>2541-5603</dc:source>
	<dc:source>10.15294/higeia.v8i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/higeia/article/view/77854/27031</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 HIGEIA (Journal of Public Health Research and Development)</dc:rights>
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