PEMETAAN DAN ANALISIS TABURAN SISA PEPEJAL DOMESTIK MENGGUNAKAN GIS: KAJIAN KES TELUK LIKAS, SABAH

MAPPING AND ANALYSIS OF DOMESTIC SOLID WASTE DISTRIBUTION USING GIS: A CASE STUDY OF TELUK LIKAS, SABAH

Authors

  • LINDAH ROZIANI JAMRU Fakulti Sains Sosial dan Kemanusiaan, Universiti Malaysia Sabah, Sabah, Malaysia.
  • OLIVER VALENTINE EBOY Fakulti Sains Sosial dan Kemanusiaan, Universiti Malaysia Sabah, Sabah, Malaysia.
  • FIONA V LOIJON Institute for Development Studies Sabah (IDS), Sabah, Malaysia.
  • SERWIN LEE Fakulti Sains Sosial dan Kemanusiaan, Universiti Malaysia Sabah, Sabah, Malaysia.
  • MOHAMMAD TAHIR MAPA Fakulti Sains Sosial dan Kemanusiaan, Universiti Malaysia Sabah, Sabah, Malaysia.
  • ADI JAFAR Fakulti Sains Sosial dan Kemanusiaan, Universiti Malaysia Sabah, Sabah, Malaysia.
  • DAYANG MASLEHA MOHD RAHMAN Fakulti Sains Sosial dan Kemanusiaan, Universiti Malaysia Sabah, Sabah, Malaysia.
  • ALFYANANDA KURNIA PUTRA Jabatan Pendidikan Geografi, Universitas Negeri Malang, Jawa Timur, Indonesia.

DOI:

https://doi.org/10.55197/qjssh.v7i4.1536

Keywords:

sisa pepejal domestik, GIS, taburan, Teluk Likas, plastik

Abstract

Peningkatan penghasilan sisa pepejal di kawasan bandar semakin membimbangkan dan berpunca daripada pelbagai aktiviti manusia yang telah memberikan kesan negatif terhadap ekosistem persekitaran, khususnya kawasan perairan. Justeru itu, kajian ini dijalankan untuk memetakan dan menganalisis taburan sisa pepejal domestik serta mengenal pasti kawasan tumpuan sisa pepejal di Teluk Likas, Sabah. Kerja lapangan telah dilaksanakan bagi mengenal pasti lokasi hotspot pembuangan sisa pepejal, dan sebanyak 13 lokasi telah dikenal pasti sebagai kawasan utama yang menyumbang kepada kebocoran sisa pepejal ke perairan Teluk Likas. Sistem Maklumat Geografi (GIS) telah digunakan untuk memetakan dan menganalisis taburan spatial sisa pepejal, manakala interpolasi Inverse Distance Weighted (IDW) digunakan bagi mengenal pasti zon pengumpulan sisa di sepanjang kawasan pesisir. Hasil kajian menunjukkan bahawa sebanyak 2,359 unit sisa pepejal telah direkodkan. Berdasarkan saiz sisa, sebanyak 99% merupakan sisa bersaiz kecil, diikuti 0.76% beg plastik penuh dan 0.04% muatan troli. Dari segi sumber, aktiviti domestik mencatat jumlah sisa tertinggi, iaitu 69.73%, diikuti komuniti pulau sebanyak 25.35% dan sisa isi rumah sebanyak 4.92%. Analisis komposisi sisa turut menunjukkan dominasi bahan berasaskan plastik, khususnya botol 35.2%, plastik 31.9% dan polistiren 31.7%, yang secara keseluruhannya merangkumi 98.8% daripada jumlah sisa yang dipetakan. Dominasi sisa plastik serta jumlah sisa yang tinggi daripada aktiviti domestik menunjukkan bahawa sumber dari kawasan penempatan merupakan antara penyumbang utama kepada kebocoran sisa pepejal ke perairan. Dapatan kajian ini diharapkan dapat menjadi rujukan kepada pihak berkuasa tempatan dalam mengenal pasti kawasan kritikal serta merangka strategi pengurusan sisa pepejal yang lebih berkesan, bersepadu dan lestari bagi mengurangkan kebocoran sisa pepejal ke perairan Teluk Likas.

The increasing generation of solid waste in urban areas is becoming increasingly concerning and is driven by various human activities, consequently exerting negative impacts on environmental ecosystems, particularly aquatic environments. Therefore, this study was conducted to map and analyse the distribution of domestic solid waste and identify solid waste dumping hotspots in Teluk Likas, Sabah. Fieldwork was conducted to identify solid waste dumping hotspots, with 13 locations identified as major areas contributing to solid waste leakage into the waters of Teluk Likas. Geographic Information System (GIS) techniques were employed to map and analyse the spatial distribution of solid waste, while Inverse Distance Weighted (IDW) interpolation was used to identify waste accumulation density zones along the coastal area. The findings indicate that a total of 2,359 units of solid waste were recorded. Based on waste size, 99% consisted of small-sized waste, followed by full plastic bags (0.76%) and trolley loads (0.04%). In terms of sources, domestic activities accounted for the highest proportion of waste at 69.73%, followed by island communities at 25.35% and household waste at 4.92%. Analysis of waste composition also revealed a strong dominance of plastic-based materials, particularly bottles (35.2%), plastic materials (31.9%), and polystyrene (31.7%), which collectively accounted for 98.8% of the total mapped waste. The dominance of plastic waste and the high volume of waste originating from domestic activities indicate that land-based sources, particularly residential areas, are among the major contributors to solid waste leakage into aquatic environments. The findings of this study are expected to serve as a reference for local authorities in identifying critical areas and developing more effective, integrated, and sustainable solid waste management strategies to reduce solid waste leakage into the waters of Teluk Likas.

References

[1] Adnan, F.A.F., Kilip, R., Keniin, D., Payus, C. (2015): Classification and quantification of marine debris at Teluk Likas, Sabah. – Borneo Science 36(1): 44-50.

[2] Ahmad, A., Said, M.Z., Gapor, S.A., Jamru, L.R., Jubit, N., Najib, S.A.M., Masron, T., Ariffin, N.A., Zakaria, Y.S. (2026): Spatial analysis of flood-prone areas in Padang Terap, Kedah: Integrating spatial autocorrelation and optimized hotspot analysis. – Forum Geografi 40(1): 19-43.

[3] Ali, H., Dermawan, D., Ali, N., Ibrahim, M., Yaacob, S. (2012): Masyarakat dan amalan pengurusan sisa pepejal ke arah kelestarian komuniti: Kes isi rumah wanita di Bandar Baru Bangi, Malaysia. – Geografia: Malaysian Journal of Society and Space 8(5): 64-75.

[4] Amilin, N.S.S., Jamru, L.R. (2025): Application of GIS and remote sensing in determining urban hotspots in Kota Kinabalu. – Quantum Journal of Social Sciences and Humanities 6(6): 322-337.

[5] Anderson, S. (2002): An evaluation of spatial interpolation methods on air temperature in Phoenix, AZ. – Department of Geography, Arizona State University, Tempe, Arizona 10p.

[6] Association of Southeast Asian Nations (ASEAN) (2021): Regional Action Plan for Combating Marine Debris in the ASEAN Member States. – ASEAN Secretariat, Jakarta, Indonesia 42p.

[7] Aziz, N. (2007): Pencemaran sampah sarap di Pantai Teluk Likas, Sabah. – Universiti Malaysia Sabah, Kota Kinabalu, Malaysia 80p.

[8] Buaya, B., Adanan, N.A., Ramli, N., Gitam, P.M.A., Jamru, L.R. (2025): Urban landscape transformation of Sandakan (2000-2023): Land use analysis based on remote sensing geoinformatics. – Quantum Journal of Social Sciences and Humanities 6(4): 92-104.

[9] Derraik, J.G.B. (2002): The pollution of the marine environment by plastic debris: A review. – Marine Pollution Bulletin 44(9): 842-852.

[10] Gill, J., Faisal, K., Shaker, A., Yan, W.Y. (2019): Detection of waste dumping locations in landfill using multi-temporal Landsat thermal images. – Waste Management & Research 37(4): 386-393.

[11] Halim, M.F.H.A., Jamru, L.R., Jafar, A. (2026): Flood risk determinants in GIS-based studies: A systematic review using AHP and MCDA. – Quantum Journal of Social Sciences and Humanities 7(2): 405-419.

[12] Harian Metro (2016): 7,986.47 tan sehari. – Harian Metro 2p.

[13] Ismail, S.Z., Nordin, R. (2024): Menjejak plastik: Cabaran dan penyelesaian bagi Malaysia. – Environment, STEM Education and Sustainable Development (ESTI) 5p.

[14] Jamru, L.R., Hashim, M., Phua, M.H., Jafar, A., Sakke, N., Eboy, O.V., Imang, U., Natar, M., Ahmad, A., Najib, S.A.M. (2024a): Exploring intensity metrics in raw LiDAR data processing for tropical forests. – IOP Conference Series: Earth and Environmental Science 1412(1): 13p.

[15] Jamru, L.R., Jafar, A., Nadzri, M.I., Yusoh, M.P., Cleophas, F. (2024b): Assessing satellite rainfall accuracy in dense tropical Sabah East Coast forest, Malaysia: A cross-validation of downscaling technique. – Planning Malaysia 22(4): 528-543.

[16] Jamru, L.R., Sharil, M.N., Jafar, A., Eboy, O.V., Atang, C., Talib, M.A. (2023a): The effectiveness of remote sensing techniques for land use classification in Kota Belud, Sabah. – Asian Journal of Research in Education and Social Sciences 5(2): 90-97.

[17] Jamru, L.R., Sharil, M.N., Yusoh, M.P. (2023b): Assessing the evolution of paddy cultivation in Kota Belud, Sabah using GIS and remote sensing techniques. – Planning Malaysia 21(4): 204-216.

[18] Jamru, L.R., Zakaria, Z., Phua, M.H., Ang, K.H., Jafar, A., Yusoh, M.P., Cleophas, F.N. (2022): Estimation of biophysical structures of lowland dipterocarp forest using discrete return LiDAR data. – In: Social Sciences and Humanities Research Conference (SSHR 22) 11p.

[19] Karim, N.A., Musa, S.M., Mat Lazim, A.Z.W.A.N. (2023): Microplastics physicochemical properties in commercial bivalves from Malaysia. – SSRN Electronic Journal 30p.

[20] Karimi, N., Ng, K.T.W., Richter, A. (2022): Development and application of an analytical framework for mapping probable illegal dumping sites using nighttime light imagery and various remote sensing indices. – Waste Management 143: 195-205.

[21] Kruse, C., Boyda, E., Chen, S., Karra, K., Bou-Nahra, T., Hammer, D., Mathis, J., Maddalene, T., Jambeck, J., Laurier, F. (2022): Satellite monitoring of terrestrial plastic waste. – arXiv:2204.01485 21p.

[22] Lebreton, L.C.M., van der Zwet, J., Damsteeg, J.W., Slat, B., Andrady, A., Reisser, J. (2017): River plastic emissions to the world's oceans. – Nature Communications 8: 10p.

[23] Li, J., Heap, A.D., Potter, A., Daniell, J.J. (2011): Application of machine learning methods to spatial interpolation of environmental variables. – Environmental Modelling & Software 26(12): 1647-1659.

[24] Lim, E.V., et al. (2023): Abundance and distribution of macro- and mesoplastic debris on selected beaches in the Northern Strait of Malacca. – Journal of Marine Science and Engineering 11(5): 19p.

[25] Linda Roziani, J., Zullyadini, A.R., Wan Ruslan, I. (2013): Permodelan perubahan tanah bencah di Lembangan Sungai Setiu, Terengganu menggunakan regresi logistik dan aplikasi Sistem Maklumat Geografi (GIS). – International Journal of Environment, Society and Space 1(1): 75-97.

[26] Longley, P.A., Goodchild, M.F., Maguire, D.J., Rhind, D.W. (2005): Geographic information systems and science. – John Wiley & Sons 517p.

[27] Meijer, L.J.J., van Emmerik, T., van der Ent, R., Schmidt, C., Lebreton, L. (2021): More than 1000 rivers account for 80% of global riverine plastic emissions into the ocean. – Science Advances 7(18): 13p.

[28] National Oceanic and Atmospheric Administration (NOAA) (2025): Where does marine debris come from? – National Oceanic and Atmospheric Administration, Office of Response and Restoration, Marine Debris Program 3p.

[29] Page, R., Lavender, S., Thomas, D., Berry, K., Stevens, S., Haq, M., Udugbezi, E., Fowler, G., Best, J., Brockie, I. (2020): Identification of tyre and plastic waste from combined Copernicus Sentinel-1 and -2 data. – Remote Sensing 12(17): 21p.

[30] Prasasti, I., Dirgahayu, D., Pasaribu, J.M. (2005): Metode interpolasi spasial untuk peletakan data suhu permukaan (Studi kasus: Pulau Jawa). – Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital 2(1): 34-42.

[31] Sakti, A.D., Rinasti, A.N., Agustina, E., Diastomo, H., Muhammad, F., Anna, Z., Wikantika, K. (2021): Multi-scenario model of plastic waste accumulation potential in Indonesia using integrated remote sensing, statistic and socio-demographic data. – ISPRS International Journal of Geo-Information 10(7): 25p.

[32] Santodomingo, N., Perry, C., Waheed, Z., Syed Hussein, M.A.B., Rosedy, A., Johnson, K.G. (2021): Marine litter pollution on coral reefs of Darvel Bay (East Sabah, Malaysia). – Marine Pollution Bulletin 173: 9p.

[33] Sarkawi, I.Z., Ismail, K., Ibrahim, M.H., Isa, N.K.M., Marzuki, M. (2021): Domestic and industrial solid waste mapping using World Cleanup Apps and geographical information system in Hutan Melintang, Perak, Malaysia. – Asian Journal of Environment, History and Heritage 5(1): 53-67.

[34] United Nations Environment Programme (UNEP) (2021): From pollution to solution: A global assessment of marine litter and plastic pollution. – United Nations Environment Programme, Nairobi, Kenya 148p.

[35] Utusan Borneo (2021): DBKK bersihkan timbunan sampah di Pantai Teluk Awam Likas. – Utusan Borneo 2p.

[36] Utusan Online (2017): 13.5 juta tan sampah setiap tahun. – Utusan Online 2p.

[37] Yan, W.Y., Mahendrarajah, P., Shaker, A., Faisal, K., Luong, R., Al-Ahmad, M. (2014): Analysis of multi-temporal Landsat satellite images for monitoring land surface temperature of municipal solid waste disposal sites. – Environmental Monitoring and Assessment 186(12): 8161-8173.

Downloads

Published

2026-08-31

Issue

Section

Articles

How to Cite

PEMETAAN DAN ANALISIS TABURAN SISA PEPEJAL DOMESTIK MENGGUNAKAN GIS: KAJIAN KES TELUK LIKAS, SABAH: MAPPING AND ANALYSIS OF DOMESTIC SOLID WASTE DISTRIBUTION USING GIS: A CASE STUDY OF TELUK LIKAS, SABAH. (2026). Quantum Journal of Social Sciences and Humanities, 7(4), 935-950. https://doi.org/10.55197/qjssh.v7i4.1536