UJI KESESUAIAN  DISTRIBUSI MENGGUNAKAN METODE DISTRIBUSI LOG PEARSON TYPE III, DENGAN UJI CHI-KUADRAT DAN UJI SMIRNOV-KOLMOGOROV PADA STASIUN HUJAN WAENA, ABEPURA, KOTA JAYAPURA, PROVINSI PAPUA

Penulis

  • Odhie Prilan Rombe UNIVERSITAS KRISTEN INDONESIA PAULUS FAKULTAS TEKNIK PROGRAM STUDI TEKNIK SIPIL Penulis
  • Abyan Raisuli Putong UNIVERSITAS KRISTEN INDONESIA PAULUS FAKULTAS TEKNIK PROGRAM STUDI TEKNIK SIPIL Penulis
  • Fidiel Yikwa UNIVERSITAS KRISTEN INDONESIA PAULUS FAKULTAS TEKNIK PROGRAM STUDI TEKNIK SIPIL Penulis
  • Ika Apriyani Universitas Kristen Indonesia Paulus Penulis

DOI:

https://doi.org/10.52722/1actjp95

Kata Kunci:

Engineering Hydrology, Maximum Rainfall, Frequency Analysis, Log Pearson Type III, Smirnov- Kolmogorov Test

Abstrak

Engineering hydrology analysis in civil engineering plays a critical role in predicting extreme design rainfall magnitudes as a baseline for surface water volume control. This study aims to perform a quantitative evaluation of maximum daily rainfall volumes in Waena Village, Abepura, Jayapura City using a hydrological statistical frequency approach. Annual maximum daily rainfall data spanning 10 years (2001–2010) from the Waena Village Rainfall Station were utilized as the primary analysis database. Based on the statistical parameter testing results—comprising the mean (X = 324.4), standard deviation (S = 121.551), coefficient of variation (Cv = 0.375), coefficient of skewness (Cs = 0,459), and coefficient of kurtosis (Ck = 0.395)—it was concluded that the Log Pearson Type III Distribution Method was the only mathematical distribution model that fulfilled all required criteria. Distribution fit validation was conducted using the Smirnov-Kolmogorov Test, which indicated that the Log Pearson Type III method is statistically valid and acceptable because the calculated Delta P{max} = 0.296115 is lower than the Delta P{critical} = 0.41. The hydrological engineering computations yielded design rainfall depths (XT) for the 2, 5, 10, 25, 50, and 100-year return periods at 345.939 mm, 456.037 mm, 509.331 mm, 561.048 mm, 591.562 mm, and 615.177 mm, respectively. These output values serve as essential engineering hydrology parameters to project design flood volumes within the study area. Keywords : evaluation, channel dimensions, drainage, flooding

Unduhan

Data unduhan tidak tersedia.

Referensi

[1] M. Rofiq and A. Utomo, “Analisa Debit Banjir Rancangan pada Bendung Kali Kandang,” Semin. Keinsinyuran Program Studi Program Profesi Ins., 2023, doi: 10.22219/SKPSPPI.V3I1.7714.

[2] S. Permana and M. Fadilah, “Analisis Curah Hujan dan Debit Banjir Das Cipeles Terhadap Drainase Jalan Tol Cisumdawu Phase III,” J. Konstr., 2022, doi: 10.33364/KONSTRUKSI/V.20-2.1190.

[3] A. N. Qais and S. Permana, “Analisis Debit Banjir dan Penelusuran Banjir di Bendungan Cipanas Kabupaten Sumedang,” J. Konstr., 2021, doi: 10.33364/KONSTRUKSI/V.19-1.901.

[4] A. Setiawan, M. Taufik, and N. A. Larasati, “Analisis Hidrologi Penentuan Debit Banjir Bendung Tegalduren Kabupaten Purworejo,” Surya Beton J. Ilmu Tek. Sipil, 2022, doi: 10.37729/SURYABETON.V6I2.2457.

[5] S. Ginting, “ANALISIS CURAH HUJAN PENYEBAB BANJIR BANDANG DI UJUNG BERUNG, BANDUNG,” Akselerasi J. Ilm. Tek. Sipil, 2021, doi: 10.37058/AKS.V2I2.2760.

[6] G. Rakhmawati, “ANALISIS INTENSITAS CURAH HUJAN DAN KURVA IDF (INTENSITY-DURATION-FREQUENCY) METODE MONONOBE DI KOTA SALATIGA,” J. Ilm. Tek., 2024, doi: 10.56127/JUIT.V3I3.1641.

[7] W. Nurzanah, S. I. Muda, R. Gunawan, and S. D. T. Diva, “Analisis Perhitungan debit banjir rencana di bendung karet bandar sidoras,” J. VORTEKS, 2022, doi: 10.54123/VORTEKS.V3I1.154.

[8] M. Karim, B. Y. Labdul, and R. Husnan, “ANALISIS POLA DISTRIBUSI DAN INTENSITAS CURAH HUJAN DI DAS BOLANGO BONE,” Compos. J., 2021, doi: 10.37905/CJ.V1I1.7.

[9] N. F. Muhammad, S. Darsono, S. Suharyanto, and A. Supriyanto, “ANALISIS REDUKSI DEBIT BANJIR DI DALAM DAS PUCANG GADING,” 2021, doi: 10.31869/RTJ.V4I2.2344.

[10] I. G. N. K. M. A. Wardana, I. G. L. M. Parwita, and I. N. A. P. Winaya, “Evaluasi data curah hujan terukur dan satelit PERSIANN-CCS dalam analisis debit banjir rancangan terhadap debit banjir terukur di DAS Tukad Petanu,” Paduraksa J. Tek. Sipil Univ. Warmadewa, 2024, doi: 10.22225/PD.13.2.10634.148-158.

[11] I. Taufik, D. PURWANTO, M. W. Wardhana, and R. M. Sari, “KAJIAN HIDROLOGI DAN ANALISIS DEBIT BANJIR RANCANGAN SUNGAI CILATAK PADA DAS CILATAK KABUPATEN PANDEGLANG,” J. Tek. Maj. Ilm. Fak. Tek. UNPAK, 2024, doi: 10.33751/TEKNIK.V25I2.11090.

[12] D. S. Krisnayanti, D. F. B. Welkis, T. M. W. Sir, W. Bunganaen, and A. C. Damayanti, “Kajian Nilai Curve Number pada Daerah Aliran Sungai Manikin di Kabupaten Kupang,” J. Tek. Sumber Daya Air, 2022, doi: 10.56860/JTSDA.V1I1.3.

[13] Ifiginia, “Perbandingan Metode Distribusi Log Normal dan Gumbel dalam Analisis Tingkat Intensitas Curah Hujan di Kota Poso,” J. Tek. Sipil MACCA, 2025, doi: 10.33096/NNS2D691.

[14] E. D. Wahjunie, Y. Hidayat, K. Y. Dewanti, and W. Purwakusuma, “Prediksi Debit Puncak DAS Ciliwung Hulu sebagai Pengendali Jasa Lingkungan Hidrologi,” J. Ilmu Lingkung., 2023, doi: 10.14710/JIL.21.4.946-955.

[15] A. Astarini, M. Muliadi, and R. Adriat, “Studi Perbandingan Metode Penentuan Intensitas Curah Hujan Berdasarkan Karakteristik Curah Hujan Kalimantan Barat,” PRISMA Fis., 2022, doi: 10.26418/PF.V10I1.52174.

Unduhan

Diterbitkan

2026-08-26

Cara Mengutip

[1]
O. P. Rombe, A. R. Putong, F. Yikwa, and I. . Apriyani, “UJI KESESUAIAN  DISTRIBUSI MENGGUNAKAN METODE DISTRIBUSI LOG PEARSON TYPE III, DENGAN UJI CHI-KUADRAT DAN UJI SMIRNOV-KOLMOGOROV PADA STASIUN HUJAN WAENA, ABEPURA, KOTA JAYAPURA, PROVINSI PAPUA”, PCEJ, vol. 8, no. 3, pp. 254–262, Aug. 2026, doi: 10.52722/1actjp95.