Spatial Analysis of Rainfall Distribution in Serang City Using the Isohyet Method (Period 2020-2024)
DOI:
https://doi.org/10.47945/search.v4i2.2819Keywords:
Physics Problem, Physics Problem Solving, Science Literacy, scienceAbstract
High and uneven rainfall distribution in Serang City frequently leads to hydrological problems, particularly flooding. The objective of this study is to analyze the spatial rainfall distribution in Serang City from 2020 to 2024 using the Isohyet method. Secondary rainfall The dataset was obtained from three rainfall observation stations: Class 1 Serang Meteorological Station, BPTPH Sawah Luhur Station, and BRMP Ciruas Station. Data normality was evaluated using the Kolmogorov–Smirnov test, which indicated that all datasets follow a normal distribution, where the lowest p-value was 0.010 and the highest KS statistic was 0.195. The analysis shows that the average monthly rainfall in Serang City is relatively high (>100 mm/month). The highest average rainfall was recorded at the Station Meteorologi Class 1 Serang (152.7 mm). The spatial mapping results based on the Isohyet approach show that rainfall distribution within the study area is relatively homogeneous. However, higher rainfall intensity is observed in the western region (Taktakan), influenced by orographic factors, while the northern region (Kasemen) records relatively lower rainfall intensity. These findings provide important information for understanding rainfall patterns and supporting hydrological management in Serang City. This study provides important baseline data for flood mitigation and urban drainage planning in Serang City.
References
Abdillah, N., Noto, S., & Ninoi, S. (2020). MENGKAJI CARA KERJA PENAKAR CURAH HUJAN DIGITAL PADA ALAT AUTOMATIC WEATHER STATION ( AWS ) DI LAPAN PASURUAN. Artikel Pemakalah Paralel, 449–453.
Afghani, F. A., Mashuri, I., Khirtin, R., & Cahyo, M. A. (2023). Topography Effects on Rainfall Characteristics in Bandung City and Cilacap Regency for the 2016-2020 Period. Sainmatika: Jurnal Ilmiah Matematika Dan Ilmu Pengetahuan Alam, 20(2), 157–167. https://doi.org/10.31851/sainmatika.v20i2.11898
Alfiandy, S., & Permana, D. S. (2020). Trend of Rainfall Based on BMKG Observation Data and MERRA-2 NASA Reanalysis in Central of Sulawesi Province. Jurnal Sains & Teknologi Modifikasi Cuaca, 21, 63–72.
Badan Penanggulangan Bencana Kota Serang. (2025). Assesment Banjir di Wilayah Kota Serang. https://bpbd.serangkota.go.id/index.php/detailpost/assesment-banjir-di-wilayah-kota-serang-minggu-09-februari-2025
Berliana S., S., Susanti, I., Siswanto, B., Nurlatifah, A., Latifah, H., Witono, A., Slamet, L., & Suhermat, M. (2021). Analysis of wet and dry season by using the Palmer Drought Severity Index (PDSI) over Java Island. AIP Conference Proceedings, 2331(April). https://doi.org/10.1063/5.0041843
Darlan, N. H., Arif, S. S., Sudira, P., & Nugroho, B. D. A. (2020). Spatial and Temporal Analysis of Seasonal Rainfall on the East Coast of North Sumatra, Indonesia. The Indonesian Journal of Geography, 52(3), 360–367. https://doi.org/https://doi.org/10.22146/ijg.56724
Dinas Lingkungan Hidup Kota Serang. (2023). Profil Dinas Lingkungan Hidup Kota Serang.
Febrianty D, & Yuningsih. (2022). Analysis of the Impact of Changes in Oldeman Climate Classification for the Period of 1981-2010 and 1991-2020 on Planting Patterns in BantenProvince. 3(3), 52–58.
Gita Ayu Windari dan Sudarti. (2024). Mekanisme terjadinya hujan dan pengaruhnya terhadap lingkungan. Jurnal Teknologi Lingkungan UNMUL, 8(2), 11–20.
Irawan, P., Setiawan, J., Hendra, H., Sari, N. K., & Awaliyah, S. (2024). Analisis Pola Distribusi Curah Hujan Lebat Dominan Di Daerah Aliran Sungai (Das) Citanduy Hulu. Jurnal Sumber Daya Air, 20(2), 75–86. https://doi.org/10.32679/jsda.v20i2.894
Mukti, D., & Halide, H. (2026). Linking Urbam Heat Island Intensification with Rainfall Variability in Tropical Archipelagic Indonesia. Research Square, 1–17. https://doi.org/10.21203/rs.3.rs-8952979/v1
Mulsandi, A., Sopaheluwakan, A., Faqih, A., Hidayat, R., & Koesmaryono, Y. (2021). Evaluation of WNPMI and AUSMI Monsoon Index Perfomance Over Indonesia Region. Jurnal Sains & Teknologi Modifikasi Cuaca, 22, 61–70.
Nurhijriah, L., Ruhiyat, Y., Saefullah, A., & Rostikawati, D. A. (2022). Pemetaan Distribusi Curah Hujan Rata-Rata Menggunakan Metode Isohyet Di Wilayah Kabupaten Tangerang. Newton-Maxwell Journal of Physics, 3(2), 46–55. https://doi.org/10.33369/nmj.v3i2.23100
Rifqi Maulana, M., Fazilatunnisa, A., Febriansyah, M. Y., Muiz, A., Fauzan, I., & Tabrani, A. (2026). Analisis dan Prediksi Curah Hujan Bulanan Kota Serang Berbasis Apache Spark Menggunakan Dataset BPS Provinsi Banten. Jurnal Ilmu Komputer Dan Teknik Informatika, 2(1), 15–21. https://doi.org/10.64803/juikti.v2i1.78
Ruswanti, D. (2020). Pengukuran Performa Support Vector Machine Dan Neural Netwok Dalam Meramalkan Tingkat Curah Hujan. Gaung Informatika, 13(1), 66–75.
Suharmanto, E. T., & Supriyanto, A. (2025). Assessment Of IDW And ANN On Daily Rainfall Data Imputation in Semarang Central Java. Sinkron, 9(1), 382–394. https://doi.org/10.33395/sinkron.v9i1.14452
Susanto, S., Pratikto, H., Winarto, S., & Siswanto, E. (2024). Pemetaan Curah Hujan dengan Metode Interpolasi Invers Distance Weighting (IDW) Kabupaten Kediri. Eengineering, 15(1). https://doi.org/https://doi.org/10.24905/jureng.v15i1.7
Tukidi. (2010). Karakter Curah Hujan Di Indonesia. Jurnal Geografi, 7(2), 136–145. http://journal.unnes.ac.id/nju/index.php/JG/article/view/84
Yulihastin, E., P, M. F., Suaydhi, & Sofiati, L. (2021). Oceanic Effect on Precipitation Development in the Maritime Continent during Anomalously-Wet Dry Seasons in Java. The Indonesian Journal of Geography, 53, 4. https://doi.org/https://doi.org/10.22146/ijg.63543
Yuningsih, Y., & Wibowo, A. (2024). Pemetaan Distribusi Curah Hujan menggunakan Data CHIRPS Periode 2013-2023 untuk Evaluasi Zonasi Hutan di Provinsi Banten. Media Komunikasi Geografi, 25(2), 293–308. https://doi.org/10.23887/mkg.v25i2.77785
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