Main Article Content
Abstract
Air pollution is a serious matter that must be addressed promptly and quickly. One of the most dangerous pollutants in the air is PM2.5. This pollutant is particulates dust measuring 2.5 micrometers. PM2.5 can cause environmental and health problems such as acute respiratory infections, lung cancer, cardiovascular cancer, and premature death. Air pollution occurs in big cities such as the capital city of Indonesia, DKI Jakarta, which is the city with the highest PM2.5 levels in Indonesia. There are 6 six stations in DKI Jakarta that measure PM.2.5 level at 6 areas. The ordinary kriging is one of spatial methods that can be used to predict PM2.5 level in outside the existing stations, for example in the Pulogadung industrial area. This area was selected because there are many factories in this area that can increase levels of PM2.5 in the air. To predict the concentration of PM2.5 in one area could be done by calculating the surrounding PM2.5 concentrations that were not available to measure air quality. In study, we use mean an absolute percentage error ( MAPE ) value to evaluate Ordinary Kriging performance for predicting PM2.5 level in DKI Jakarta.
Keywords
Article Details
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
References
- A.G. Simandjuntak ,”Pencemaran Udara,” Buletin Limbah, vol. 11, no. 1, pp. 34–40, 2007.
- R. Novirsa, U. Achmadi, and Fahmi, “Analisis Risiko Pajanan PM2,5 di Udara Ambien Siang Hari terhadap Masyarakat di Kawasan Industri Semen” Kesmas National Public Health Journal, vol. 7, no. 4, pp. 173–179, 2012, doi: http://dx.doi.org/10.21109/kesmas.v7i4.52.
- J.S. Brown, “Deposition of Particles,” in Comparative Biology of the Normal Lung, R.A. Parent, Ed., 2nd ed. MA, USA: Academic Press, 2015, ch. 27, pp. 513-536, doi: https://doi.org/10.1016/C2012-0-01154-4.
- R. Yendra and R. Risman, “Penerapan Metode Ordinary Kriging pada Pendugaan Kriminalitas di Kota Pekanbaru Riau,” Jurnal Sains Matematika dan Statistika, vol. 5, no. 1, pp. 13–22, 2019, doi: http://dx.doi.org/10.24014/jsms.v4i1.6701.
- I. Fauzi and E.S. Hariyadi, “Analisis Geostatistik dalam Menentukan Keseragaman Nilai Kepadatan Tanah Dasar,” Jurnal Teknik Sipil, vol. 25, no. 3, pp. 195–202, 2018, doi: https://doi.org/10.5614/jts.2018.25.3.4.
- N.A. Alfiana, “Metode Ordinary Kriging pada Geostatistika,” Bachelor thesis, Universitas Negeri Yogyakarta, Sleman, Indonesia, 2010.
- IQAir Staff Writers, “PM2.5,” IQAir.com. https://www.iqair.com/us/blog/air-quality/pm2-5 (accessed May 16, 2022).
- R. Mukhtar, E.H. Panjaitan, H. Wahyudi, M. Santoso, and S. Kurniawati, “Komponen Kimia PM2,5 dan PM10 di Udara Ambien di Serpong – Tangerang,” Jurnal Ecolab . Vol.7 , No. 1, pp. 1–7, 2013, doi: https://doi.org/10.20886/jklh.2013.7.1.1-7.
- A.A. Awali, H. Yasin, and R. Rahmawati, “Estimasi Kandungan Hasil Tambang Menggunakan Ordinary Indicator Kriging,” Jurnal Gaussian, vol. 2, no. 1, pp. 1–10, 2013, doi: https://doi.org/10.14710/j.gauss.2.1.1%20-%2010
- A.D.R. Bahtiyar, A. Hoyyi, and H. Yasin, “Ordinary Kriging Dalam Estimasi Curah Hujan di Kota Semaran,” Jurnal Gaussian, vol. 3, no. 2, pp. 152–153, 2014, doi: https://doi.org/10.14710/j.gauss.3.2.151%20-%20159.
- K.B. Rachmawati, I.A. Sukma, A. Triamartha, K.P. Dela, N. Chamidah, “Estimation of Dissolved Oxygen Using Spatial Analysis Based on Ordinary Kriging Method as Effort to Improve the Quality of Surabaya’s River Water,” Ecology, Environment and Conservation, vol. 25, pp. 62–66, 2019.
- D.W. Fitri, N. Afifah, S.M.D. Anggarani, N. Chamidah, “Prediction Concentration of PM2.5 in Surabaya Using Ordinary Kriging Method,” AIP Conference Proceedings, 2021, pp. 1–6, doi: https://doi.org/10.1063/5.0042284.
- S.A.D. Safitri, F.A. Putri, A.A. Belindha, N. Chamidah, “Co-Kriging Method Performance in Estimating the Number of COVID-19 Positive Confirmed Cases in East Java Province,” AIP Conference Proceedings, 2021, pp. 1–10, doi: https://doi.org/10.1063/5.0042286.
- G. Rozalia, H. Yasin, and D. Ispriyanti , “Penerapan Metode Ordinary Kriging pada Pendugaan Kadar No2 di Udara (Studi Kasus: Pencemaran Udara di Kota Semarang),” Jurnal Gaussian, vol. 5, no. 1, pp. 113–121, 2016, doi: https://doi.org/10.14710/j.gauss.5.1.113-121.
- S. Munadi, Pengantar Geostatistik. Jakarta, Indonesia: Universitas Indonesia, 2005.
- R. Hayami, Sunanto, and I. Oktaviandi, “Penerapan Metode Single Exponential Smoothing pada Prediksi Penjualan Bed Sheet,” Jurnal Computer Science and Information Technology (CoSciTech), vol. 2, no. 1, pp. 32–29, 2021, doi: https://doi.org/10.37859/coscitech.v2i1.2184.
- N.M.S. Fridayani, P.E.N. Kencana, and K.G. Sukarsa, “Perbandingan Interpolasi Spasial dengan Metode Ordinary dan Robust Kriging pada Data Spasial Berpencilan (Studi Kasus: Curah Hujan di Kabupaten Karangasem),” E-Jurnal Matematika, vol. 1, no. 1, pp. 68–74, 2012, doi: https://doi.org/10.24843/MTK.2012.v01.i01.p012.
- iQAir, https://www.iqair.com/id/ (accessed May 9, 2022).
References
A.G. Simandjuntak ,”Pencemaran Udara,” Buletin Limbah, vol. 11, no. 1, pp. 34–40, 2007.
R. Novirsa, U. Achmadi, and Fahmi, “Analisis Risiko Pajanan PM2,5 di Udara Ambien Siang Hari terhadap Masyarakat di Kawasan Industri Semen” Kesmas National Public Health Journal, vol. 7, no. 4, pp. 173–179, 2012, doi: http://dx.doi.org/10.21109/kesmas.v7i4.52.
J.S. Brown, “Deposition of Particles,” in Comparative Biology of the Normal Lung, R.A. Parent, Ed., 2nd ed. MA, USA: Academic Press, 2015, ch. 27, pp. 513-536, doi: https://doi.org/10.1016/C2012-0-01154-4.
R. Yendra and R. Risman, “Penerapan Metode Ordinary Kriging pada Pendugaan Kriminalitas di Kota Pekanbaru Riau,” Jurnal Sains Matematika dan Statistika, vol. 5, no. 1, pp. 13–22, 2019, doi: http://dx.doi.org/10.24014/jsms.v4i1.6701.
I. Fauzi and E.S. Hariyadi, “Analisis Geostatistik dalam Menentukan Keseragaman Nilai Kepadatan Tanah Dasar,” Jurnal Teknik Sipil, vol. 25, no. 3, pp. 195–202, 2018, doi: https://doi.org/10.5614/jts.2018.25.3.4.
N.A. Alfiana, “Metode Ordinary Kriging pada Geostatistika,” Bachelor thesis, Universitas Negeri Yogyakarta, Sleman, Indonesia, 2010.
IQAir Staff Writers, “PM2.5,” IQAir.com. https://www.iqair.com/us/blog/air-quality/pm2-5 (accessed May 16, 2022).
R. Mukhtar, E.H. Panjaitan, H. Wahyudi, M. Santoso, and S. Kurniawati, “Komponen Kimia PM2,5 dan PM10 di Udara Ambien di Serpong – Tangerang,” Jurnal Ecolab . Vol.7 , No. 1, pp. 1–7, 2013, doi: https://doi.org/10.20886/jklh.2013.7.1.1-7.
A.A. Awali, H. Yasin, and R. Rahmawati, “Estimasi Kandungan Hasil Tambang Menggunakan Ordinary Indicator Kriging,” Jurnal Gaussian, vol. 2, no. 1, pp. 1–10, 2013, doi: https://doi.org/10.14710/j.gauss.2.1.1%20-%2010
A.D.R. Bahtiyar, A. Hoyyi, and H. Yasin, “Ordinary Kriging Dalam Estimasi Curah Hujan di Kota Semaran,” Jurnal Gaussian, vol. 3, no. 2, pp. 152–153, 2014, doi: https://doi.org/10.14710/j.gauss.3.2.151%20-%20159.
K.B. Rachmawati, I.A. Sukma, A. Triamartha, K.P. Dela, N. Chamidah, “Estimation of Dissolved Oxygen Using Spatial Analysis Based on Ordinary Kriging Method as Effort to Improve the Quality of Surabaya’s River Water,” Ecology, Environment and Conservation, vol. 25, pp. 62–66, 2019.
D.W. Fitri, N. Afifah, S.M.D. Anggarani, N. Chamidah, “Prediction Concentration of PM2.5 in Surabaya Using Ordinary Kriging Method,” AIP Conference Proceedings, 2021, pp. 1–6, doi: https://doi.org/10.1063/5.0042284.
S.A.D. Safitri, F.A. Putri, A.A. Belindha, N. Chamidah, “Co-Kriging Method Performance in Estimating the Number of COVID-19 Positive Confirmed Cases in East Java Province,” AIP Conference Proceedings, 2021, pp. 1–10, doi: https://doi.org/10.1063/5.0042286.
G. Rozalia, H. Yasin, and D. Ispriyanti , “Penerapan Metode Ordinary Kriging pada Pendugaan Kadar No2 di Udara (Studi Kasus: Pencemaran Udara di Kota Semarang),” Jurnal Gaussian, vol. 5, no. 1, pp. 113–121, 2016, doi: https://doi.org/10.14710/j.gauss.5.1.113-121.
S. Munadi, Pengantar Geostatistik. Jakarta, Indonesia: Universitas Indonesia, 2005.
R. Hayami, Sunanto, and I. Oktaviandi, “Penerapan Metode Single Exponential Smoothing pada Prediksi Penjualan Bed Sheet,” Jurnal Computer Science and Information Technology (CoSciTech), vol. 2, no. 1, pp. 32–29, 2021, doi: https://doi.org/10.37859/coscitech.v2i1.2184.
N.M.S. Fridayani, P.E.N. Kencana, and K.G. Sukarsa, “Perbandingan Interpolasi Spasial dengan Metode Ordinary dan Robust Kriging pada Data Spasial Berpencilan (Studi Kasus: Curah Hujan di Kabupaten Karangasem),” E-Jurnal Matematika, vol. 1, no. 1, pp. 68–74, 2012, doi: https://doi.org/10.24843/MTK.2012.v01.i01.p012.
iQAir, https://www.iqair.com/id/ (accessed May 9, 2022).