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Gambaran Keselamatan Pekerja Menggunakan Teknologi Pemantauan Drone pada Proyek Konstruksi PT. X Makassar

Hasanuddin Journal of Public Health (HJPH) · Vol. 1 No. 2 (2020) · pp. 142–151

DOI
10.30597/hjph.v1i2.9327
ISSN
2721-2408
Published
2020-06-30
Publisher
Faculty of Public Health, Hasanuddin University, Makassar
Language
en
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Safety and Health of Construction work are activities to ensure and protect the safety and health of workers through accidents in the workplace. This study is to find out the description of the safety of workers using drone monitoring technology in construction activities at PT. X. This research is a type of descriptive research in a quantitative approach aimed to determine the safety of workers using drone monitoring technology in the construction project of PT. X Makassar 2020. The research will be conducted in November with a workforce of 108 people. The sample in this study was taken by purposive sampling technique so that the sample of 55 people. Data were collected using a questionnaire, Rapid Entry Body Assessment (REBA), analysis using SPSS software and drone. Data is presented in tabular form and narrated. This study shows the Knowledge variable at PT. X that out of 55 respondents (60%) respondents said that it was good. Based on the use of PPE, most respondents were classified as not compliant, namely as many as (67.3%), while the least were classified as compliant, as many as (32.7%). The most dominant work attitude of the respondents was Very High Risk Level (as much as 80%). While the least is the Medium Risk Level (3.6%). The results of the mapping in the rector's building, library and mosque using drones. The description of worker safety based on the variables of knowledge, PPE compliance, worker attitudes and hazards can be classified in part as good, but on variables.

Keywords

Collaboration network of the authors

39 authors · 115 co-authorship links

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  • Universitas Gadjah Mada
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Awaluddin AwaluddinAffiliation unknown8
Andi Muflihah DarwisAffiliation unknown3
A Muflihah DarwisAffiliation unknown3
Sulasning SulasningAffiliation unknown2
Dian Sidik ArsyadAffiliation unknown2
Makmur SelomoAffiliation unknown2
Yahya ThamrinAffiliation unknown2
Andi Nani Siti MardiyantiAffiliation unknown2
M Furqaan NaiemAffiliation unknown1
Ade Wira LisriantiAffiliation unknown1
Rizky MaharjaAffiliation unknown1
Noviponiharwani NoviponoiharwaniAffiliation unknown1
Magfirah RamadhaniAffiliation unknown1
Nurul Mawaddah SyafitriAffiliation unknown1
Muhammad RachmatAffiliation unknown1
Jumriani AnsarAffiliation unknown1
Lalu MuhammadAffiliation unknown1
Syamsiar RussengAffiliation unknown1
Iin Karmila YusriAffiliation unknown1
Lisdha Ardiyany IlyasAffiliation unknown1
Nursiah NursiahAffiliation unknown1
Filadelfia PiradeAffiliation unknown1
RIFDAH SAFIRAH. HSAffiliation unknown1
Ika Rezki PratiwiAffiliation unknown1
Vira AyuAffiliation unknown1
Andi Aan MugniyahAffiliation unknown1
Cecilia Aurynt Angeline KohangAffiliation unknown1
Nasyirah SiddiqahAffiliation unknown1
Lalu Muhammad SalehAffiliation unknown1
Ainulhaj Sapirianty T. MalikAffiliation unknown1
Oktafiani LabaranAffiliation unknown1
Nur FadilahUniversitas Gadjah Mada1
Silvia MalasariAffiliation unknown1
Nuurhidayat JafarAffiliation unknown1
Moh. Syafar SangkalaAffiliation unknown1
Andina SetyawatiAffiliation 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.unhas.ac.id/index.php/hjph/oai, first harvested 2 Nov 2026, last seen 2 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Gambaran Keselamatan Pekerja Menggunakan Teknologi Pemantauan Drone pada Proyek Konstruksi PT. X Makassar</dc:title>
	<dc:creator xml:lang="en">MT Hardjo, Muh Fathur Rahman </dc:creator>
	<dc:creator xml:lang="en">Wahyuni, Andi</dc:creator>
	<dc:creator xml:lang="en">Rahim, Muhammad Rum </dc:creator>
	<dc:subject xml:lang="en">Safety</dc:subject>
	<dc:subject xml:lang="en">work</dc:subject>
	<dc:subject xml:lang="en">drone</dc:subject>
	<dc:subject xml:lang="en">construction</dc:subject>
	<dc:description xml:lang="en">Safety and Health of Construction work are activities to ensure and protect the safety and health of workers through accidents in the workplace. This study is to find out the description of the safety of workers using drone monitoring technology in construction activities at PT. X. This research is a type of descriptive research in a quantitative approach aimed to determine the safety of workers using drone monitoring technology in the construction project of PT. X Makassar 2020. The research will be conducted in November with a workforce of 108 people. The sample in this study was taken by purposive sampling technique so that the sample of 55 people. Data were collected using a questionnaire, Rapid Entry Body Assessment (REBA), analysis using SPSS software and drone. Data is presented in tabular form and narrated. This study shows the Knowledge variable at PT. X that out of 55 respondents (60%) respondents said that it was good. Based on the use of PPE, most respondents were classified as not compliant, namely as many as (67.3%), while the least were classified as compliant, as many as (32.7%). The most dominant work attitude of the respondents was Very High Risk Level (as much as 80%). While the least is the Medium Risk Level (3.6%). The results of the mapping in the rector's building, library and mosque using drones. The description of worker safety based on the variables of knowledge, PPE compliance, worker attitudes and hazards can be classified in part as good, but on variables.</dc:description>
	<dc:publisher xml:lang="en">Faculty of Public Health, Hasanuddin University, Makassar</dc:publisher>
	<dc:date>2020-06-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/hjph/article/view/9327</dc:identifier>
	<dc:identifier>10.30597/hjph.v1i2.9327</dc:identifier>
	<dc:source xml:lang="en">Hasanuddin Journal of Public Health (HJPH); Vol. 1 No. 2: JUNE 2020; 142-151</dc:source>
	<dc:source>2721-2408</dc:source>
	<dc:source>10.30597/hjph.v1i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/hjph/article/view/9327/6102</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2020 by author</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>