skip to main content

Analisis Most Probable Number (MPN) Coliform dan Escherichia coli Pada Air Sumur Bor di Pemukiman Warga Kelurahan Pucangsawit Surakarta

1Program Studi DIII Farmasi, Sekolah Tinggi Ilmu Kesehatan Nasional Surakarta, Indonesia

2Program Studi Pendidikan Geografi, Universitas Bangun Nusantara, Indonesia

Open Access Copyright 2024 Jurnal Kesehatan Lingkungan Indonesia under http://creativecommons.org/licenses/by-sa/4.0.

Citation Format:
Abstract

Latar belakang: Air adalah salah satu sumber daya alam yang berperan penting bagi kehidupan makhluk hidup yang mendiami permukaan bumi, maka keberadaannya harus dilindungi untuk medukung kehidupan  bagi manusia atau makhluk hidup lainnya. Tujuan penelitian untuk mengetahui nilai total coliform dan Escherichia coli pada air sumur bor yang digunakan masyarakat Dusun Pucangsawit dan mengetahui kesesuaian nilai  MPN coliform pada air sumur yang digunakan masyarakat Dusun Pucangsawit menurut Peraturan Menteri Kesehatan RI No. 2 Tahun 2023 tentang Peraturan Pelaksanaan Peraturan Pemerintah Nomor 66 Tahun 2014 Tentang Kesehatan Lingkungan.

Metode: Penelitian ini menggunakan jenis penelitian deskriptif kuantitatif. Populasi dalam penelitian ini adalah 10 sumur  yang terdapat Kelurahan Pucangsawit, Kecamatan Jebres, Kota Surakarta. Metode yang digunakan adalah pengujian MPN coliform dan petrifilm untuk Escherichia coli. Pengujian MPN dilaksanakan dengan dua tahap yaitu tes pendahuluan dan penegasan. Pengujian statistik regresi dilaksanakan untuk mengetahui hubungan jarak sumber pencemar dengan nilai MPN coliform dan Escherichia coli.

Hasil : Hasil diperoleh bahwa tidak terdapat sampel yang memenuhi Permenkes Nomor 2 Tahun 2023 terkait dengan batas cemaran coliform karena > 0 MPN/100 mL, namun keseluruhan sampel memenuhi batas yang dipersyaratkan untuk cemaran Escherichia coli. Pengujian statistik regresi yang dilaksanakan menunjukkan bahwa tidak terdapat hubungan antara jarak pencemar dengan cemaran coliform dan Escherichia coli (p value > 0,05).

Simpulan : Berdasarkan hasil penelitian diketahui bahwa tidak terdapat hubungan antara jarak pencemar dengan nilai MPN dan Escherichia coli pada sampel di Kelurahan Pucangsawit.Seluruh sampel tidak memenuhi batas nilai coliform berdasarkan Permenkes Nomor 2 Tahun 2023, namun keseluruhannya memenuhi batas Escherichia coli.

 

ABSTRACT

Title:  Analysis Of Most Probable Number (MPN) Coliform and Escherichia coli Of Artesian Well In Pucangsawit Surakarta Sub District

Background: Water is one of the natural resources that play an essential role for all living things on the planet, so it must be maintained. The study aims to determine the total number of coliform and Escherichia coli in artesian water in Pucangsawit village based on the Peraturan Menteri Kesehatan RI No. 2 Tahun 2023 about the Implementation of Peraturan Pemerintah Nomor 66 Tahun 2014 regarding to Enviromental Health.

Method: The research was a quantitative descriptive research. Population used on this study were 10 artesian wells in Pucangsawit Village, Jebres, Subdistric, Surakarta City, Jawa Tengah. The method used in this study was Most Probable Number (MPN) method and petrifilm method to indicate total coliform and Escherichia coli contamination, respectively. The test was conducted in two stages: presumptive test and confirmative test. Regression analysis was carried out to determine correlation between contamination source distance with MPN coliform and Escherichia coli value.

Results: The results showed that all of the samples did not meet the requirement form Peraturan Menteri Kesehatan RI No. 2 Tahun 2023 for total coliform limit in water because it more than 0 MPN/100 mL, meanwhile all samples met the required regarding the limit of Escherichia coli. Regression analysis show that there is no correlation between contamination source distance and well depth with MPN coliform and Escherichia coli value (p value > 0,05%).

Conclusion: The conclusion of the result is there is no samples that met the requirement conducted by Peraturan Menteri Kesehatan RI No. 2 Tahun 2023 regarding the limit of coliform contamination, however all of the samples met the requirement of Escherichia coli contamination. Statistically, there is no correlation between contamination source distance and MPN and Escherichia coli value.

 

Note: This article has supplementary file(s).

Fulltext View|Download |  Turnitin
Turnitin
Subject
Type Turnitin
  Download (1MB)    Indexing metadata
 CTA
Copyrigh Transfer Agreement
Subject
Type CTA
  Download (302KB)    Indexing metadata
 ES
Etichal Statement
Subject
Type ES
  Download (406KB)    Indexing metadata
Keywords: coliform; Escherichia coli; air

Article Metrics:

  1. Kementerian Kesehatan Republik Indonesia. Laporan Riskesdas Jawa Tengah 2018. Jakarta: Lembaga Penerbit Badan Penelitian dan Pengembangan Kesehatan (LPB); 2018
  2. Dinas Kesehatan Jawa Tengah. Profil Kesehatan Jawa Tengah 2021. Semarang: Dinas Kesehatan Jawa Tengah; 2022
  3. DKCS. Kelurahan Pucangsawit [Internet]. https://p2k.utn.ac.id/. 2022 [cited 2022 Nov 18]. Available from:
  4. Surakarta PK. Profil Kelurahan Pucangsawit [Internet]. 2021. Available from: https://kec-jebres.surakarta.go.id/kategori/detail/a3f390d88e4c41f2747b68fa2f1b5f87db
  5. Abia ALK, Ubomba-Jaswa E, Schmidt C, Dippenaar MA. Where did they come from—Multi-drug resistant pathogenic Escherichia coli in a cemetery environment? Antibiotics. 2018;7(3). https://doi.org/10.3390/antibiotics7030073
  6. Novita Sunarti R. Uji Kualitas Air Sumur Dengan Menggunakan Metode MPN (Most Probable Numbers). Bioilmi J Pendidik. 2015;1(1):30–4. https://doi.org/10.19109/bioilmi.v1i1.1128
  7. Kementerian Kesehatan Republik Indonesia. Peraturan Menteri Kesehatan Indonesia Nomor 2 Tahun 2023 tentang Peraturan Pelaksanaan Peraturan Pemerintah Nomor 66 Tahun 2014 Tentang Kesehatan Lingkungan. Indonesia: Kementerian Kesehatan Republik Indonesia; 2023
  8. Syamsussabri M, Ningtyas RN, Najah AA, Fahmi MS, Suarsini E. Analysis of Coliform Bacteria Contamination in Drinking Water Sources in Malang City. El-Hayah. 2019;7(1):28–35. https://doi.org/10.18860/elha.v7i1.7244
  9. Safitri A, Khairuddin K, Rasmi D. Analysis ofcoliform bacteria as a water pollution indicator in Unus River. In: Proceedings International Conference on Science and Technology (ICST) [Internet]. 2020. p. 173–82. Available from: http://proceeding.unram.ac.id/index.php/icst/article/view/30
  10. Amelia P, Habibah U, Betha OS. Sciences Analysis of Escherichia coli Microbial Contamination and Total Coliform Bacteria in Refill Drinking Water in Pondok Cabe Ilir Village , South Tangerang City. Pharm Biomed Sci Pharm. 2022;4(1):45–52. https://doi.org/10.15408/pbsj.v4i1.24699
  11. Khan FM. Escherichia coli (E. coli) as an indicator of fecal contamination in water: A review. In: International Conference on Sustainable Development of Water and Environment. Sringer; 2020. p. 225–35. https://doi.org/10.1007/978-3-030-45263-6_21
  12. Anisah U, Iswanto B, Rinanti A. Distribution patterns study of Escherichia coli as an Indicator for ground water quality at Matraman District, East Jakarta. IOP Conf Ser Earth Environ Sci. 2018;106(1). https://doi.org/10.1088/1755-1315/106/1/012080
  13. Maran NH, Crispim B do A, Iahn SR, de Araujo RP, Grisolia AB, de Oliveira KMP. Depth and Well Type Related to Groundwater Microbiological Contamination. IInternational J Environ Res Public Heal [Internet]. 2016;13. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5086775/pdf/ijerph-13-01036.pdf.
  14. Tangkilisan SLM, Joseph WB., Sumampouw OJ. Hubungan antara Faktor Konstruksi dan Jarak Sumur Gali terhadap Sumber Pencemar dengan Total Coliform Air Sumur Gali di Kelurahan Motto Kecamatan Lembeh Utara. J Kesehat Masy. 2018;7(4)
  15. Achmad BK, Jayadipraja EA, Sunarsih S. Hubungan Sistem Pengelolaan (Kontruksi) Air Limbah Tangki Septik dengan Kandungan Escherichia coli terhadap Kualitas Air Sumur Gali. J Keperawatan dan Kesehat Masy Cendekia Utama. 2020;9(1):24. https://doi.org/10.31596/jcu.v9i1.512
  16. Muchlis M, Thamrin T, Siregar SH. Analisis Faktor yang Mempengaruhi Jumlah Bakteri Escherichia coli pada Sumur Gali Penderita Diare di Kelurahan Sidomulyo Barat Kota Pekanbaru. Din Lingkung Indones. 2017;4(1):18. https://doi.org/10.31258/dli.4.1.p.18-28
  17. Budiarti W, Gravitiani E, Mujiyo M. Analisis Aspek Biofisik Dalam Penilaian Kerawanan Banjir Di Sub Das Samin Provinsi Jawa Tengah. J Pengelolaan Sumberd Alam dan Lingkung (Journal Nat Resour Environ Manag. 2018;8(1):96–108. https://doi.org/10.29244/jpsl.8.1.96-108
  18. Zychowski J, Bryndal T. Impact of cemeteries on groundwater contamination by bacteria and viruses - A review. J Water Health. 2015;13(2):285–301. https://doi.org/10.2166/wh.2014.119
  19. Franco DS, Georgin J, Villarreal Campo LA, Mayoral MA, Goenaga JO, Fruto CM, et al. The environmental pollution caused by cemeteries and cremations: A review. Chemosphere [Internet]. 2022 Nov;307:136025. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0045653522025188.
  20. Kandoli SJ, Alidadi H, Najafpoor AA, Mehrabpour M, Hosseinzadeh A, Momeni F. Assessment of cemetery effects on groundwater quality using GIS. Desalin Water Treat. 2019;168:235–42. https://doi.org/10.5004/dwt.2019.24622
  21. Ojo OA, Oyelami CA, Fakunle MA, Ogundana AK, Ajayi OE, Uche TE. Integrated approach to unsaturated zone characterization as it relates to burial practices and its impact on the immediate environment. Heliyon [Internet]. 2022 Jul;8(7):e09831. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2405844022011197.
  22. Vithanage M, Mayakaduwage SS, Gunarathne V, Rajapaksha AU, Ahmad M, Abduljabbar A, et al. Animal carcass burial management: implications for sustainable biochar use. Appl Biol Chem [Internet]. 2021 Dec 22;64(1):91. Available from: https://applbiolchem.springeropen.com/articles/10.1186/s13765-021-00652-z.
  23. Rahayu NL, Hendarto E, Sulistiyawati I, Agustiani RD. Quantity of Coliform Bacteria as Bioindicator of Water Pollution (Case Study: Several Tributaries in Purwokerto City, Banyumas Regency, Central Java). Biota J Ilm Ilmu-Ilmu Hayati [Internet]. 2020 Jun 11;42–7. Available from: https://ojs.uajy.ac.id/index.php/biota/article/view/2938.
  24. Całkosiński I, Płoneczka-Janeczko K, Ostapska M, Dudek K, Gamian A, Rypuła K. Microbiological analysis of necrosols collected from urban cemeteries in Poland. Biomed Res Int. 2015;2015. https://doi.org/10.1155/2015/169573
  25. Neckel A, Costa C, Mario DN, Sabadin CES, Bodah ET. Environmental damage and public health threat caused by cemeteries: A proposal of ideal cemeteries for the growing urban sprawl. Urbe. 2017;9(2):216–30. https://doi.org/10.1590/2175-3369.009.002.ao05
  26. Dwivedi D, Mohanty BP, Lesikar BJ. Impact of the Linked Surface Water-Soil Water-Groundwater System on Transport of E. coli in the Subsurface. Water Air Soil Pollut [Internet]. 2016;227(9). Available from: http://dx.doi.org/10.1007/s11270-016-3053-2.

Last update:

No citation recorded.

Last update: 2024-05-28 08:21:31

No citation recorded.