Spatial Pattern Analysis of Schmidt–Ferguson Climate Classification in Gorontalo Province Based on Rainfall Data
DOI:
10.29303/jppipa.v12i4.14568Published:
2026-04-25Downloads
Abstract
Climate change has altered rainfall patterns in Indonesia; however, spatially detailed climate classification in Gorontalo Province remains limited. This study aims to identify climate patterns using the Schmidt–Ferguson method combined with spatial analysis. The novelty lies in integrating data consistency testing, quantitative Q index analysis, and GIS-based interpolation to produce spatial climate zoning. This study uses monthly rainfall data from 41 consistent observation stations (out of 48 stations) during 2015–2024, obtained from BWS Sulawesi II and BMKG. Data consistency was tested using the Double Mass Curve method, followed by calculation of the Q index and spatial interpolation using the Inverse Distance Weighting (IDW) method. Results show that rainfall data are highly consistent (R² ≈ 1). The Q index ranges from 7.6 to 119, indicating diverse climate types: very wet (A), wet (B), moderately wet (C), moderate (D), and slightly dry (E). Spatially, wet climates dominate mountainous areas, while relatively drier conditions occur in coastal regions. These findings are applicable for crop calendar planning, irrigation management, and disaster mitigation such as flood-prone and drought-prone zoning. However, the study is limited by uneven station distribution and a 10-year observation period. In conclusion, Gorontalo Province exhibits high spatial variability of climate influenced by topography and geographic location.
Keywords:
Climate pattern Geographic information system Rainfall Schmidt–FergusonReferences
Ackom, E. K., Adjei, K. A., & Odai, S. N. (2020). Spatio-temporal rainfall trend and homogeneity analysis in flood prone area: case study of Odaw river basin-Ghana. SN Applied Sciences, 2(12), 1–26. https://doi.org/10.1007/s42452-020-03924-3 DOI: https://doi.org/10.1007/s42452-020-03924-3
Adhikari, K., Chhetri, K., Basnet, E., Chozom, K., Sharma, K., Giri, A., Bumpa, L., & Sharma, V. (2022). Identification of Inconsistencies in Historic Rainfall Records of the Himalayas of Bhutan. Journal of Water Engineering and Management, 3(2), 31–45. https://doi.org/10.47884/jweam.v3i2pp31-45 DOI: https://doi.org/10.47884/jweam.v3i2pp31-45
Ariska, M., Suhadi, Supari, Irfan, M., & Iskandar, I. (2024). Detection of Dominant Rainfall Patterns in Indonesian Regions Using Empirical Orthogonal Function (EOF) and Its Relation with ENSO and IOD Events. Science and Technology Indonesia, 9(4), 1009–1023. https://doi.org/10.26554/sti.2024.9.4.1009-1023 DOI: https://doi.org/10.26554/sti.2024.9.4.1009-1023
Chakraborty, S., Pan, S., Pal, S. C., Islam, A. R. M. T., Alam, E., & Islam, M. K. (2025). Evaluating the impact of rainfall patterns on sustainable agricultural crop production. Discover Sustainability, 6(1). https://doi.org/10.1007/s43621-025-01392-6 DOI: https://doi.org/10.1007/s43621-025-01392-6
Eris, E., & Agiralioglu, N. (2012). Homogeneity and Trend Analysis of Hydrometeorological Data of the Eastern Black Sea Region , Turkey. Journal of Water Resource and Protection, 2012(February), 99–105. https://doi.org/10.4236/jwarp.2012.42012 DOI: https://doi.org/10.4236/jwarp.2012.42012
Faraslis, I., Dalezios, N. R., Alpanakis, N., Tziatzios, G. A., Spiliotopoulos, M., Sakellariou, S., Sidiropoulos, P., Dercas, N., Domínguez, A., Martínez-López, J. A., López-Urrea, R., Karam, F., Amami, H., & Nciri, R. (2023). Remotely Sensed Agroclimatic Classification and Zoning in Water-Limited Mediterranean Areas towards Sustainable Agriculture. Remote Sensing, 15(24). https://doi.org/10.3390/rs15245720 DOI: https://doi.org/10.3390/rs15245720
Ferguson, & Padang, K. (2023). Analisis Klasifikasi Tipe Iklim Dari Data Curah Hujan Menggunakan Metode Schmidt-Ferguson Di Kabupaten Padang Pariaman. Jurnal Teori dan Aplikasi Fisika, 29-38. https://doi.org/10.59841/saber.v3i1.2205
Gradiyanto, F., Parmantoro, P. N., & Suharyanto. (2025). Impact of climate change on Kupang River flow and hydrological extremes in Greater Pekalongan, Indonesia. Water Science and Engineering, 18(1), 69–77. https://doi.org/10.1016/j.wse.2024.03.005 DOI: https://doi.org/10.1016/j.wse.2024.03.005
Hanifa, R., & Wiratmo, J. (2024). ENSO and IOD Influence on Extreme Rainfall in Indonesia: Historical and Future Analysis. Agromet, 38(2), 78–87. https://doi.org/10.29244/j.agromet.38.2.78-87 DOI: https://doi.org/10.29244/j.agromet.38.2.78-87
Hidayat, A. S. A., Baskoro, W. T., Unsuriyah, Z., Yuliara, I. M., Widagda, I. G. A., Pramarta, I. B. A., & Kurnia, W. G. (2023). Analisis Spasial Penentuan Tipe Iklim Menurut Klasifikasi Schmidt-Ferguson Menggunakan Metode Thiessen-Polygon Di Kabupaten Bojonegoro Berdasarkan Data Curah Hujan Tahun 2016–2022. Kappa Journal, 7(3), 488–492. https://doi.org/10.29408/kpj.v7i3.23128 DOI: https://doi.org/10.29408/kpj.v7i3.23128
Indrawan, Dangkua, T., & Jaya, R. (2025). Comparative Morphometric Analysis for Flood Risk Assessment in Alo and Molamahu Sub-Watersheds, Gorontalo Regency. Jurnal Penelitian Pendidikan IPA, 11(8), 535–545. https://doi.org/10.29303/jppipa.v11i8.11924 DOI: https://doi.org/10.29303/jppipa.v11i8.11924
Khalil, A. (2021). Inhomogeneity detection in the rainfall series for the Mae Klong River Basin , Thailand. Applied Water Science, 11(9), 1–11. https://doi.org/10.1007/s13201-021-01474-6 DOI: https://doi.org/10.1007/s13201-021-01474-6
Koem, S., & Rusiyah, R. (2018). Spatiotemporal Characteristics of Meteorological Drought in Gorontalo Regency in 1981- 2016. Jurnal Pengelolaan Sumberdaya Alam Dan Lingkungan (Journal of Natural Resources and Environmental Management), 8(3), 355–364. https://doi.org/10.29244/jpsl.8.3.355-364 DOI: https://doi.org/10.29244/jpsl.8.3.355-364
Korres, W., Reichenau, T. G., Fiener, P., Koyama, C. N., Bogena, H. R., Cornelissen, T., Baatz, R., Herbst, M., Diekkrüger, B., Vereecken, H., & Schneider, K. (2021). Spatio-temporal soil moisture patterns – A meta-analysis using plot to catchment scale data. Journal of Hydrology, 520, 326–341. https://doi.org/10.1016/j.jhydrol.2014.11.042 DOI: https://doi.org/10.1016/j.jhydrol.2014.11.042
Leonard, F., Hasanuddin, Wahyuni, & Prattyni, V. P. (2024). Analisis Curah Hujan dan Klasifikasi Tipe Iklim Menggunakan Metode Schmidt-Ferguson (Studi Kasus: Danau Tempe). Jurnal Media Teknik Sipil, 2(2), 12–21. https://doi.org/10.56963/judiateks.v2i2.441 DOI: https://doi.org/10.56963/judiateks.v2i2.441
Maulana, K. M., Dangkua, T., Jaya, R., & Mulabbi, A. (2025). Morphometric Characteristics and Their Relation to Flood Events in Paguyaman Watershed, Gorontalo. Jurnal Penelitian Pendidikan IPA, 11(8), 476–488. https://doi.org/10.29303/jppipa.v11i8.11909 DOI: https://doi.org/10.29303/jppipa.v11i8.11909
Moontuno, V., Maryati, S., & Koem, S. (2023). Deteksi Perubahan Zona Agroklimat Schmidt-Ferguson. Jurnal Kajian, Penelitian Dan Pengembangan Pendidikan, 11(2), 191–200. https://doi.org/10.31764/geography.v11i2.15821.
Moontuno, V. V., Maryati, S., & Koem, S. (2023). Deteksi Perubahan Zona Agroklimat Schmidt-Ferguson Menggunakan Sistem Informasi Geografis Di Kabupaten Gorontalo. Geography : Jurnal Kajian, Penelitian Dan Pengembangan Pendidikan, 11(2), 191. https://doi.org/10.31764/geography.v11i2.15821 DOI: https://doi.org/10.31764/geography.v11i2.15821
Mulsandi, A., Koesmaryono, Y., Hidayat, R., Faqih, A., & Sopaheluwakan, A. (2024). On The Interannual Variability of Indonesian Monsoon Rainfall (IMR): A Literature Review of The Role of its External Forcing. Jurnal Meteorologi Dan Geofisika, 24(2), 115–127. https://doi.org/10.31172/jmg.v24i2.1049 DOI: https://doi.org/10.31172/jmg.v24i2.1049
Olii, M. R., Olii, A., & Pakaya, R. (2021). Analysis of Spatial Distribution of the Drought Hazard Index (DHI) by Integration AHP-GIS-Remote Sensing in Gorontalo Regency. Journal of the Civil Engineering Forum, 8(January), 81–96. https://doi.org/10.22146/jcef.3595 DOI: https://doi.org/10.22146/jcef.3595
Otto, F. E., Zachariah, M., Saeed, F., Siddiqi, A., Kamil, S., Mushtaq, H., ... & Clarke, B. (2023). Climate change increased extreme monsoon rainfall, flooding highly vulnerable communities in Pakistan. Environmental Research: Climate, 2(2). https://doi.org/10.1088/2752-5295/acbfd5 DOI: https://doi.org/10.1088/2752-5295/acbfd5
Pratama, G. S., & Sardiana, I. K. (2023). Pemetaan Klasifikasi Iklim Schmidt-Ferguson dan Kesesuaian Agroklimat Tanaman Cabai Merah (Capsicum annuum) di Provinsi Bali. Agrotrop : Journal on Agriculture Science, 13(2), 170. https://doi.org/10.24843/ajoas.2023.v13.i02.p02 DOI: https://doi.org/10.24843/AJoAS.2023.v13.i02.p02
Putranto, W. W., Nuarsa, I. W., Kartini, N. L., Andi Yuda, I. W., & Wiratmaja, I. M. D. (2022). Pemetaan Zona Agroklimat Schmidt Ferguson Menggunakan Data Stasiun Pengamat Hujan Dan Produk Data Satelit Imerg Di Provinsi Bali. ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science), 16(2), 244. https://doi.org/10.24843/ejes.2022.v16.i02.p11 DOI: https://doi.org/10.24843/EJES.2022.v16.i02.p11
Rahmanto, E., Rahmabudhi, S., & Kustia, T. (2022). Kajian analisis spasial penentuan tipe iklim menurut klasifikasi Schmidt–Ferguson menggunakan metode Thiessen–Polygon di Provinsi Riau. Buletin GAW Bariri, 3(1), 35-42. https://doi.org/10.31172/bgb.v3i1.66 DOI: https://doi.org/10.31172/bgb.v3i1.66
Ren, Z., Zhao, H., Shi, K., & Yang, G. (2023). Spatial and Temporal Variations of the Precipitation Structure in Jiangsu Province from 1960 to 2020 and Its Potential Climate-Driving Factors. Water (Switzerland), 15(23). https://doi.org/10.3390/w15234032 DOI: https://doi.org/10.3390/w15234032
Karimah, R. Z., Azzahmi, Z. Z., Prasetya, A. D., Apsari, A. N. D., Fatah, F., & Azziz, K. N. (2024). Pemodelan spasial prediksi curah hujan melalui metode inverse distance weighting di wilayah Sumatera Barat tahun 2026. Geomedia Majalah Ilmiah dan Informasi Kegeografian, 22(1). https://doi.org/10.21831/gm.v22i1.68239 DOI: https://doi.org/10.21831/gm.v22i1.68239
Ruqoyah, R., Ruhiat, Y., & Saefullah, A. (2023). Analisis Klasifikasi Tipe Iklim Dari Data Curah Hujan Menggunakan Metode Schmidt-Ferguson (Studi Kasus: Kabupaten Tangerang). Jurnal Teori Dan Aplikasi Fisika, 11(01), 29–38. https://doi.org/10.23960/jtaf.v11i1.3076 DOI: https://doi.org/10.23960/jtaf.v11i1.3076
Ruspa, R., Permana, S., & Hantari, A. N. (2025). Analisis Konsistensi Data Curah Hujan Terhadap Debit Andalan: Studi Kasus: Bendung Leuwipeundeuy. Jurnal Konstruksi, 23(1), 273-282. https://doi.org/10.33364/konstruksi/v.23-1.1881 DOI: https://doi.org/10.33364/konstruksi/v.23-1.1881
Searcy, J. K., & Hardison, C. H. (1960). Double-Mass Curves. WaterSupply Paper 1541B, 66. https://doi.org/10.3133/wsp1541B DOI: https://doi.org/10.3133/wsp1541B
Sila, K., Mukti, T., Dwi, B., Nugroho, A., & Maftukhah, R. (2022). Classification of Climate and Land Suitability of Rice in East Sumba Regency, East Nusa Tenggara. In 2nd International Conference on Smart and Innovative Agriculture (ICoSIA 2021) (pp. 122-129). Atlantis Press. https://doi.org/10.2991/absr.k.220305.018 DOI: https://doi.org/10.2991/absr.k.220305.018
Sriwongsitanon, N., Kaprom, C., Tantisuvanichkul, K., Prasertthonggorn, N., Suiadee, W., Bastiaanssen, W. G., & Williams, J. A. (2023). The combined power of double mass curves and bias correction for the maximisation of the accuracy of an ensemble satellite-based precipitation estimate product. Hydrology, 10(7), 154. https://doi.org/10.3390/hydrology10070154 DOI: https://doi.org/10.3390/hydrology10070154
Subehi, L., Wibowo, H., & Jung, K. (2016). Characteristics of Rainfall-Discharge and Water Quality at Limboto Lake , Gorontalo , Indonesia. 48(3), 288–300. https://doi.org/10.5614/j.eng.technol.sci.2016.48.3.4 DOI: https://doi.org/10.5614/j.eng.technol.sci.2016.48.3.4
Suhadi, S., Mabruroh, F., Wiyanto, A., & Ikra, I. (2023). Analisis Fenomena Perubahan Iklim Terhadap Curah Hujan Ekstrim. OPTIKA: Jurnal Pendidikan Fisika, 7(1), 94–100. https://doi.org/10.37478/optika.v7i1.2738 DOI: https://doi.org/10.37478/optika.v7i1.2738
Susanto, S., Pratikto, H., Winarto, S., & Siswanto, E. (2024). Pemetaan Curah Hujan dengan Metode Interpolasi Invers Distance Weighting (IDW) Kabupaten Kediri. Jurnal Engineering, 15(1), 44-55. https://doi.org/10.24905/jureng.v15i1.7 DOI: https://doi.org/10.24905/jureng.v15i1.7
Tiwari, H., Rai, S. P., Kumar, D., & Sharma, N. (2016). Rainfall erosivity factor for India using modified fourier index. Journal of Applied Water Engineering and Research, 4(2), 83–91. https://doi.org/10.1080/23249676.2015.1064038 DOI: https://doi.org/10.1080/23249676.2015.1064038
Vijith, H. (2020). Papers in Applied Geography Statistical Trend Characteristics of Rainfall in the Baram River Basin (Malaysian Borneo) Statistical Trend Characteristics of Rainfall in the Baram River Basin (Malaysian Borneo). Papers in Applied Geography, 1–30. https://doi.org/10.1080/23754931.2020.1847728 DOI: https://doi.org/10.1080/23754931.2020.1847728
Wang, B., Biasutti, M., Byrne, M. P., Castro, C., Chang, C. P., Cook, K., ... & Zhou, T. (2021). Monsoons climate change assessment. Bulletin of the American Meteorological Society, 102(1), E1–E19. https://doi.org/10.1175/BAMS-D-19-0335.1 DOI: https://doi.org/10.1175/BAMS-D-19-0335.1
Yamamoto, K., Sayama, T., & Apip. (2021). Impact of climate change on flood inundation in a tropical river basin in Indonesia. Progress in Earth and Planetary Science, 8(1). https://doi.org/10.1186/s40645-020-00386-4 DOI: https://doi.org/10.1186/s40645-020-00386-4
Yanos, M. H. (2022). Analysis of Rainfall Variability in the Province of Quirino. Journal of Environmental Science and Economics, 1(2), 44–50. https://doi.org/10.56556/jescae.v1i2.20 DOI: https://doi.org/10.56556/jescae.v1i2.20
Yasa, I. W., Sulistiyono, H., Saadi, Y., & Hartana. (2022). Spatial Climate Forecasting for Climatology Disaster Mitigation. Environment and Ecology Research, 10(6), 786–796. https://doi.org/10.13189/eer.2022.100613 DOI: https://doi.org/10.13189/eer.2022.100613
Yogafanny, E., & Legono, D. (2022). A comparative study of missing rainfall data analysis using the methods of inversed square distance and arithmetic mean. ASEAN Engineering Journal, 12(2), 69-74. https://doi.org/10.11113/aej.V12.16974
Yogafanny, E., & Legono, D. J. (2022). a Comparative Study of Missing Rainfall Data Analysis Using the Methods of Inversed Square Distance and Arithmetic Mean. ASEAN Engineering Journal, 12(2), 69–74. https://doi.org/10.11113/aej.V12.16974 DOI: https://doi.org/10.11113/aej.v12.16974
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