Research Article
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Year 2025, Volume: 11 Issue: 2, 144 - 159
https://doi.org/10.33904/ejfe.1536021

Abstract

References

  • Anselin, L., Dodson, R., Hudak, S. 1993. Linking GIS and spatial data analysis in practice. Geographical Systems, 1:3–23.
  • Anselin, L. 1995. Local indicators of spatial association—LISA. Geographical Analysis, 27(2): 9– 115.
  • Amir, R.A., Barus, B., Soetarto, E. 2020. Dinamika spasial tanah terdaftar dan implikasinya terhadap sistem penghidupan masyarakat lokal di Kabupaten Takalar. Journal of Regional and Rural Development Planning, 4(2): 134–153. https://doi.org/10.29244/ jp2wd.2020.4.2.134-153
  • Amoadu, M., Ansah, E.W., Sarfo, J.O., Hormenu, T. 2023. Impact of climate change and heat stress on workers’ health and productivity: A scoping review. Journal of Climate Change and Health, 12: 100249. https://doi.org/10.1016/j.joclim.2023.100249
  • Ansah, E.W., Ankomah-Appiah, E., Amoadu, M., Sarfo, J.O. 2021. Climate change, health and safety of workers in developing economies: A scoping review. Journal of Climate Change and Health, 3(1): 1–12. https://doi.org/10.1016/j.joclim.2021.100034
  • Asy’Ari, R., Rahmawati, A.D., Sa’diyya, N., Gustawan, A.H., Setiawan, Y., Zamani, N.P., Pramulya, R. 2022. Mapping mangrove forest distribution on Banten, Jakarta, and West Java Ecotone Zone from Sentinel-2-derived indices using cloud computing based Random Forest. Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management), 12(1): 9 7–111. https://doi.org/10.29244/jpsl.12.1.97-111
  • Berninger, K., Kneeshaw, D., Messier, C. 2009. The role of cultural models in local perceptions of SFM - Differences and similarities of interest groups from three boreal regions. Journal of Environmental Management, 90(2): 740–751. https://doi.org/ 10.1016/j.jenvman.2008.01.004
  • Carlowitz, H.C. 1713. Sylvicultura Oeconomica oder Hausswirthliche Nachricht und naturmaessige Anweisung zur wilden Baum. Zucht. J.F., Leipzig.
  • Chang, M., Dou, X., Su, F., Yu, B. 2023. Remote sensing and optimized neural networks for landslide risk assessment: Paving the way for mitigating Afghanistan landslide damage. Ecological Indicators, 156: 111179. https://doi.org/10.1016/j.ecolind. 2023.111179
  • Chianucci, F., Cutini, A. 2012. Digital hemispherical photography for estimating forest canopy properties: Current controversies and opportunities. IForest, 5(6): 290–295. https://doi.org/10.3832/ifor0775-005
  • Dixon, D.J., Duncan, J.M.A., Callow, J.N., Setterfield, S.A., Pauli, N. 2023. Fire reduces eucalypt forest flowering phenology at the landscape-scale. Science of the Total Environment, 894: 164828. https://doi.org/10.1016/j.scitotenv.2023.164828
  • Drobne, S., Lisec, A. 2009. Multi-attribute Decision Analysis in GIS: Weighted Linear Combination and Ordered Weighted Averaging. Informatica, 33(4): 459–474.
  • Edwar, E., Hamidy, R., Siregar, S.H., 2011. Komposisi dan struktur permudaan pohon pionir berdasarkan jenis tanah di Kabupaten Siak. Jurnal Ilmu Lingkungan, 5(2): 149–167.
  • Farandika, A., Hartono, H. 2016. Aplikasi penginderaan jauh dan sistem informasi geografi untuk pemetaan kerawanan kebakaran hutan dan lahan di Kawasan Cagar Biosfer Giam Siak Kecil– Bukit Batu Provinsi Riau. Jurnal Bumi Indonesia, 5(2): 228660.
  • Handriawan, A., Respatie, D.W., Tohari, T. 2017. Pengaruh intensitas naungan terhadap pertumbuhan dan hasil tiga kultivar kedelai (Glycine max (L.) Merrill) di Lahan Pasir Pantai Bugel, Kulon Progo. Vegetalika, 5(3): 1–14.
  • Hanewinkel, M., Hummel, S., Albrecht, A. 2011. Assessing natural hazards in forestry for risk management: A review. European Journal of Forest Research, 130(3): 329–351. https://doi.org/ 10.1007/s10342-010-0392-1
  • Harris, S., Cresswell, W.J., Forde, P.G., Trewhella, W.J., Woollard, T., Wray, S. 1990. Home range analysis using radio-tracking data-a review of problems and techniques particularly as applied to the study of mammals. Mammel, 20(3): 97–123.
  • ILO, 2011. Heating and Air-Conditioning Systems. International Labour Organization Encyclopaedia of Occupational Health and Safety. Accessed September 25, 2024. https://www.iloencyclopaedia.org/part-vi-16255/indoor-environmental-control/item/260heatin g-and-air-conditioning-systems.
  • Kauffman, J.B., Donato, D.C. 2012. Working Paper Protocols for the measurement, monitoring and reporting of structure, biomass and carbon stocks in mangrove forests Vol 86. Bogor, Indonesia: Cifor.
  • Lillesand, Thomas M., Ralph W., Kiefer. 1979. Remote Sensing and Image Interpretation. John Wiley and Sons, Inc., New York.
  • Lima, K., Meira Castro, AC., Baptista, J.S. 2023. Occupational Risk Assessment in Native Rainforest Management (MIARforest)—Parameters Definition and Validation. Sustainability (Switzerland), 15(8): 6794. https://doi.org/10.3390/su15086794
  • Ministry of Agriculture of the Republic of Indonesia. 1980. Decree of the Minister of Agriculture Number 837/Kpts/Um/11/1980 on the Criteria and Procedures for Designating Protected Forests and Production Forests. Jakarta: Ministry of Agriculture of the Republic of Indonesia. (Accessed: 14 August 2024).
  • Myers, S.S., Patz, J.A. 2009. Emerging threats to human health from global environmental change. Annual Review of Environment and Resources, 34: 223–252.
  • Nemani, R.R., Running, S.W. 1995. Satellite monitoring of global land cover changes and their impact on climate. Long-Term Climate Monitoring by the Global Climate Observing System: International Meeting of Experts, Asheville, North Carolina, USA 265–283.
  • Novianti, N., Umar, L. 2021. Pengukuran ketinggian muka air pada lahan gambut mempergunakan sensor ultrasonik HCSR-04. Komunikasi Fisika Indonesia, 18(1): 69–74. https://doi.org/10.31258/jkfi.18.1.69-74
  • Perobelli, F.S., Haddad, E.A., Salgueiro Perobelli, F. 1985. An Exploratory Spatial Data Analysis of Brazilian Interregional Trade. São Paulo: Nereus.
  • Rahmawati, A.D., Asy’Ari, R., Ranti, A., Prameswari, F.A., Ameiliani, T.H., Khairunnisa, Z.N. 2023a. Mapping of land use change using Sentinel-2 Multi Spectral Instrument (MSI) imagery and Google Earth Engine mapping platform at Dramaga, Bogor Regency, Indonesia. In: IOP Conference Series: Earth and Environmental Science, 1220(1): 012024. https://doi.org/10.1088/1755-1315/1220/1/012024
  • Rahmawati, A.D., Priyanto, Yovi, E.Y. 2023b. Analysis of OSH risk level in forest management activities using remote sensing approach in RPH Takokak, KPH Sukabumi, West Java Province. In: IOP Conference Series: Earth and Environmental Science, 1266(1): 012033. https://doi.org/10.1088/1755-1315/1266/1/012033
  • Rikimaru, A., Roy, PS., Miyatake, S. 2002. Tropical forest cover density mapping. Tropical Ecology, 43(1): 39–47. Rother, H.A., John, J., Wright, C.Y., Irlam, J., Oosthuizen, R., Garland, R.M. 2020. Perceptions of occupational heat, sun exposure, and health risk prevention: A qualitative study of forestry workers in South Africa. Atmosphere, 11(1): 37. https://doi.org/ 10.3390/ATMOS11010037
  • Saaty, T.L. 1980. The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York.
  • Tata, H.L., Narendra, BH., Mawazin, M. 2018. Forest and land fires in Pelalawan district, Riau, Indonesia: Drivers, pressures, impacts and responses. Biodiversitas, 19(2): 494–501. https://doi.org/ 10.13057/biodiv/d190224
  • Van Westen, C.J. 2013. Remote Sensing and GIS for Natural Hazards Assessment and Disaster Risk Management. Treatise on Geomorphology, 3(15): 259–298.
  • Wang, M., Wang, Y., Teng, F., Ji, Y. 2023. The spatiotemporal evolution and impact mechanism of energy consumption carbon emissions in China from 2010 to 2020 by integrating multisource remote sensing data. Journal of Environmental Management, 346: 119054. https://doi.org/10.1016/j.jenvman. 2023.119054
  • Xu, R., Yu, P., Liu, Y., Chen, G., Yang, Z., Zhang, Y., Wu, Y., Beggs, P. J., Zhang, Y., Boocock, J., Ji, F., Hanigan, I., Jay, O., Bi, P., Vargas, N., Leder, K., Green, D., Quail, K., Huxley, R., Jalaludin, B., Hu, W., Dennekamp, M., Vardouolakis, S., Bone, A., Abrahams, J., Johnston, F.H., Broome, R., Capon, T., Li, S., Guo, Y. 2023. Climate change, environmental extremes, and human health in Australia: challenges, adaptation strategies, and policy gaps. The Lancet Regional Health–Western Pacific, 40:100936. https://doi.org/10.1016/j.lanwpc.2023.100936
  • Yovi, E.Y. 2019. Status ergonomi pekerja sektor kehutanan di Indonesia: kelelahan fisik-mentalsosial. Jurnal Ilmu Kehutanan, 13(2): 137–150.
  • Yovi, E.Y., Nastiti, A., Kuncahyo, B. 2023. Heat-related knowledge, risk perception, and precautionary behavior among indonesian forestry workers and farmers: implications for occupational health promotion in the face of climate change impacts. Forests, 14(7): 1455. https://doi.org/10.3390/f14071455
  • Yovi, E.Y., Nurrochmat, D.R. 2018. An occupational ergonomics in the Indonesian state mandatory sustainable forest management instrument: A review. Forest Policy and Economics, 91:27–35. https://doi.org/10.1016/j.forpol.2017.11.007
  • Yovi, E.Y., Yamada, Y. 2019. Addressing occupational ergonomics issues in Indonesian forestry: laborers, operators, or equivalent workers. Croatian Journal of Forest Engineering, 40(2): 351–363. https://doi.org/10.5552/crojfe.2019.558
  • Yovi, E.Y., Yamada, Y., Zaini, M.F., Kusumadewi, CAY., Marisiana, L. 2016. Improving the OSH knowledge of Indonesian forestry workers by using safety game application: Tree felling supervisors and operators. Jurnal Manajemen Hutan Tropika, 22(1): 75–75.

Advancing Occupational Safety in Forest Management Through a New GIS-AHP Integrated Framework

Year 2025, Volume: 11 Issue: 2, 144 - 159
https://doi.org/10.33904/ejfe.1536021

Abstract

The concept of sustainable forest management considers various forest functions, each with unique values and interests in harmony with social, economic, and ecological needs. However, the philosophical meaning of sustainable forest management concepts has still not been fully implemented. The core concept often focuses solely on the forest without considering the forestry workers as a management goal. On the other hand, forestry work is associated with a high risk to the occupational safety of the workers. Therefore, an improvement in occupational safety protection for forest worker is a must. This study aimed to introduce a new concept for assessing the level of vulnerability to occupational accidents by utilizing remote sensing as a tool to detect natural hazards as a factor causing work accidents from the environment. In this new concept, 12 parameters of natural hazards were selected based on their relevance to occupational safety in forest management and their potential impact on risk assessment, including slope, elevation, soil type, vegetation density, accessibility, rainfall, temperature, wind speed, sunlight intensity, humidity, wildlife potential, and abnormal tree condition (leaning tree, dead trees, brittle trees, and fallen trees). Implementing this new concept in an 85,855 ha forest area showed that the occupational safety risk class level highly agrees with conventional ground checks. This fact indicates that this method can provide information related to various sources of natural hazards in a faster, cheaper, more accessible, and more accurate manner.

References

  • Anselin, L., Dodson, R., Hudak, S. 1993. Linking GIS and spatial data analysis in practice. Geographical Systems, 1:3–23.
  • Anselin, L. 1995. Local indicators of spatial association—LISA. Geographical Analysis, 27(2): 9– 115.
  • Amir, R.A., Barus, B., Soetarto, E. 2020. Dinamika spasial tanah terdaftar dan implikasinya terhadap sistem penghidupan masyarakat lokal di Kabupaten Takalar. Journal of Regional and Rural Development Planning, 4(2): 134–153. https://doi.org/10.29244/ jp2wd.2020.4.2.134-153
  • Amoadu, M., Ansah, E.W., Sarfo, J.O., Hormenu, T. 2023. Impact of climate change and heat stress on workers’ health and productivity: A scoping review. Journal of Climate Change and Health, 12: 100249. https://doi.org/10.1016/j.joclim.2023.100249
  • Ansah, E.W., Ankomah-Appiah, E., Amoadu, M., Sarfo, J.O. 2021. Climate change, health and safety of workers in developing economies: A scoping review. Journal of Climate Change and Health, 3(1): 1–12. https://doi.org/10.1016/j.joclim.2021.100034
  • Asy’Ari, R., Rahmawati, A.D., Sa’diyya, N., Gustawan, A.H., Setiawan, Y., Zamani, N.P., Pramulya, R. 2022. Mapping mangrove forest distribution on Banten, Jakarta, and West Java Ecotone Zone from Sentinel-2-derived indices using cloud computing based Random Forest. Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management), 12(1): 9 7–111. https://doi.org/10.29244/jpsl.12.1.97-111
  • Berninger, K., Kneeshaw, D., Messier, C. 2009. The role of cultural models in local perceptions of SFM - Differences and similarities of interest groups from three boreal regions. Journal of Environmental Management, 90(2): 740–751. https://doi.org/ 10.1016/j.jenvman.2008.01.004
  • Carlowitz, H.C. 1713. Sylvicultura Oeconomica oder Hausswirthliche Nachricht und naturmaessige Anweisung zur wilden Baum. Zucht. J.F., Leipzig.
  • Chang, M., Dou, X., Su, F., Yu, B. 2023. Remote sensing and optimized neural networks for landslide risk assessment: Paving the way for mitigating Afghanistan landslide damage. Ecological Indicators, 156: 111179. https://doi.org/10.1016/j.ecolind. 2023.111179
  • Chianucci, F., Cutini, A. 2012. Digital hemispherical photography for estimating forest canopy properties: Current controversies and opportunities. IForest, 5(6): 290–295. https://doi.org/10.3832/ifor0775-005
  • Dixon, D.J., Duncan, J.M.A., Callow, J.N., Setterfield, S.A., Pauli, N. 2023. Fire reduces eucalypt forest flowering phenology at the landscape-scale. Science of the Total Environment, 894: 164828. https://doi.org/10.1016/j.scitotenv.2023.164828
  • Drobne, S., Lisec, A. 2009. Multi-attribute Decision Analysis in GIS: Weighted Linear Combination and Ordered Weighted Averaging. Informatica, 33(4): 459–474.
  • Edwar, E., Hamidy, R., Siregar, S.H., 2011. Komposisi dan struktur permudaan pohon pionir berdasarkan jenis tanah di Kabupaten Siak. Jurnal Ilmu Lingkungan, 5(2): 149–167.
  • Farandika, A., Hartono, H. 2016. Aplikasi penginderaan jauh dan sistem informasi geografi untuk pemetaan kerawanan kebakaran hutan dan lahan di Kawasan Cagar Biosfer Giam Siak Kecil– Bukit Batu Provinsi Riau. Jurnal Bumi Indonesia, 5(2): 228660.
  • Handriawan, A., Respatie, D.W., Tohari, T. 2017. Pengaruh intensitas naungan terhadap pertumbuhan dan hasil tiga kultivar kedelai (Glycine max (L.) Merrill) di Lahan Pasir Pantai Bugel, Kulon Progo. Vegetalika, 5(3): 1–14.
  • Hanewinkel, M., Hummel, S., Albrecht, A. 2011. Assessing natural hazards in forestry for risk management: A review. European Journal of Forest Research, 130(3): 329–351. https://doi.org/ 10.1007/s10342-010-0392-1
  • Harris, S., Cresswell, W.J., Forde, P.G., Trewhella, W.J., Woollard, T., Wray, S. 1990. Home range analysis using radio-tracking data-a review of problems and techniques particularly as applied to the study of mammals. Mammel, 20(3): 97–123.
  • ILO, 2011. Heating and Air-Conditioning Systems. International Labour Organization Encyclopaedia of Occupational Health and Safety. Accessed September 25, 2024. https://www.iloencyclopaedia.org/part-vi-16255/indoor-environmental-control/item/260heatin g-and-air-conditioning-systems.
  • Kauffman, J.B., Donato, D.C. 2012. Working Paper Protocols for the measurement, monitoring and reporting of structure, biomass and carbon stocks in mangrove forests Vol 86. Bogor, Indonesia: Cifor.
  • Lillesand, Thomas M., Ralph W., Kiefer. 1979. Remote Sensing and Image Interpretation. John Wiley and Sons, Inc., New York.
  • Lima, K., Meira Castro, AC., Baptista, J.S. 2023. Occupational Risk Assessment in Native Rainforest Management (MIARforest)—Parameters Definition and Validation. Sustainability (Switzerland), 15(8): 6794. https://doi.org/10.3390/su15086794
  • Ministry of Agriculture of the Republic of Indonesia. 1980. Decree of the Minister of Agriculture Number 837/Kpts/Um/11/1980 on the Criteria and Procedures for Designating Protected Forests and Production Forests. Jakarta: Ministry of Agriculture of the Republic of Indonesia. (Accessed: 14 August 2024).
  • Myers, S.S., Patz, J.A. 2009. Emerging threats to human health from global environmental change. Annual Review of Environment and Resources, 34: 223–252.
  • Nemani, R.R., Running, S.W. 1995. Satellite monitoring of global land cover changes and their impact on climate. Long-Term Climate Monitoring by the Global Climate Observing System: International Meeting of Experts, Asheville, North Carolina, USA 265–283.
  • Novianti, N., Umar, L. 2021. Pengukuran ketinggian muka air pada lahan gambut mempergunakan sensor ultrasonik HCSR-04. Komunikasi Fisika Indonesia, 18(1): 69–74. https://doi.org/10.31258/jkfi.18.1.69-74
  • Perobelli, F.S., Haddad, E.A., Salgueiro Perobelli, F. 1985. An Exploratory Spatial Data Analysis of Brazilian Interregional Trade. São Paulo: Nereus.
  • Rahmawati, A.D., Asy’Ari, R., Ranti, A., Prameswari, F.A., Ameiliani, T.H., Khairunnisa, Z.N. 2023a. Mapping of land use change using Sentinel-2 Multi Spectral Instrument (MSI) imagery and Google Earth Engine mapping platform at Dramaga, Bogor Regency, Indonesia. In: IOP Conference Series: Earth and Environmental Science, 1220(1): 012024. https://doi.org/10.1088/1755-1315/1220/1/012024
  • Rahmawati, A.D., Priyanto, Yovi, E.Y. 2023b. Analysis of OSH risk level in forest management activities using remote sensing approach in RPH Takokak, KPH Sukabumi, West Java Province. In: IOP Conference Series: Earth and Environmental Science, 1266(1): 012033. https://doi.org/10.1088/1755-1315/1266/1/012033
  • Rikimaru, A., Roy, PS., Miyatake, S. 2002. Tropical forest cover density mapping. Tropical Ecology, 43(1): 39–47. Rother, H.A., John, J., Wright, C.Y., Irlam, J., Oosthuizen, R., Garland, R.M. 2020. Perceptions of occupational heat, sun exposure, and health risk prevention: A qualitative study of forestry workers in South Africa. Atmosphere, 11(1): 37. https://doi.org/ 10.3390/ATMOS11010037
  • Saaty, T.L. 1980. The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York.
  • Tata, H.L., Narendra, BH., Mawazin, M. 2018. Forest and land fires in Pelalawan district, Riau, Indonesia: Drivers, pressures, impacts and responses. Biodiversitas, 19(2): 494–501. https://doi.org/ 10.13057/biodiv/d190224
  • Van Westen, C.J. 2013. Remote Sensing and GIS for Natural Hazards Assessment and Disaster Risk Management. Treatise on Geomorphology, 3(15): 259–298.
  • Wang, M., Wang, Y., Teng, F., Ji, Y. 2023. The spatiotemporal evolution and impact mechanism of energy consumption carbon emissions in China from 2010 to 2020 by integrating multisource remote sensing data. Journal of Environmental Management, 346: 119054. https://doi.org/10.1016/j.jenvman. 2023.119054
  • Xu, R., Yu, P., Liu, Y., Chen, G., Yang, Z., Zhang, Y., Wu, Y., Beggs, P. J., Zhang, Y., Boocock, J., Ji, F., Hanigan, I., Jay, O., Bi, P., Vargas, N., Leder, K., Green, D., Quail, K., Huxley, R., Jalaludin, B., Hu, W., Dennekamp, M., Vardouolakis, S., Bone, A., Abrahams, J., Johnston, F.H., Broome, R., Capon, T., Li, S., Guo, Y. 2023. Climate change, environmental extremes, and human health in Australia: challenges, adaptation strategies, and policy gaps. The Lancet Regional Health–Western Pacific, 40:100936. https://doi.org/10.1016/j.lanwpc.2023.100936
  • Yovi, E.Y. 2019. Status ergonomi pekerja sektor kehutanan di Indonesia: kelelahan fisik-mentalsosial. Jurnal Ilmu Kehutanan, 13(2): 137–150.
  • Yovi, E.Y., Nastiti, A., Kuncahyo, B. 2023. Heat-related knowledge, risk perception, and precautionary behavior among indonesian forestry workers and farmers: implications for occupational health promotion in the face of climate change impacts. Forests, 14(7): 1455. https://doi.org/10.3390/f14071455
  • Yovi, E.Y., Nurrochmat, D.R. 2018. An occupational ergonomics in the Indonesian state mandatory sustainable forest management instrument: A review. Forest Policy and Economics, 91:27–35. https://doi.org/10.1016/j.forpol.2017.11.007
  • Yovi, E.Y., Yamada, Y. 2019. Addressing occupational ergonomics issues in Indonesian forestry: laborers, operators, or equivalent workers. Croatian Journal of Forest Engineering, 40(2): 351–363. https://doi.org/10.5552/crojfe.2019.558
  • Yovi, E.Y., Yamada, Y., Zaini, M.F., Kusumadewi, CAY., Marisiana, L. 2016. Improving the OSH knowledge of Indonesian forestry workers by using safety game application: Tree felling supervisors and operators. Jurnal Manajemen Hutan Tropika, 22(1): 75–75.
There are 39 citations in total.

Details

Primary Language English
Subjects Geomatic Engineering (Other)
Journal Section Research Articles
Authors

Azelia Dwi Rahmawati 0009-0005-4350-5062

Efi Yuliati Yovi 0000-0002-2741-7979

Yudi Setiawan 0000-0002-1482-1905

Early Pub Date September 25, 2025
Publication Date November 12, 2025
Submission Date August 20, 2024
Acceptance Date December 25, 2024
Published in Issue Year 2025 Volume: 11 Issue: 2

Cite

APA Dwi Rahmawati, A., Yovi, E. Y., & Setiawan, Y. (2025). Advancing Occupational Safety in Forest Management Through a New GIS-AHP Integrated Framework. European Journal of Forest Engineering, 11(2), 144-159. https://doi.org/10.33904/ejfe.1536021

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