Analisis Perbandingan Distribusi Kecepatan Angin Untuk Mengetahui Probabilitas Kecepatan Angin di Pulau Jawa

  • I Made Putra Ananta W
  • Mardi Santoso
  • Mohammad Abu Jami'in
  • George Endri Kusuma
  • Didik Sukoco
Keywords: Weibull Distribution, Rayleigh Distribution, Gamma Distribution, Goodness of Fit


- Wind speed is the movement of air from areas of high pressure to areas of low
pressure. As the use of electric energy increases due to the growing human population in a
region, there is a need for renewable energy sources to convert renewable energy into
electricity. Wind energy is highly potential if utilized, considering its relatively low utilization
for electricity generation in Indonesia. In the initial stage of using wind energy for electricity
generation, data on the wind potential of a region is required, thus an analysis of wind speed
in several areas on Java Island is necessary. The wind speed data in this Final Project
includes several regions in the Java Province, namely: Bandung, Banyuwangi, Bekasi,
Gresik, Kudus, Malang, Semarang, Surabaya, Surakarta, and Tuban. The method used in
modeling wind speed involves the Weibull distribution, Rayleigh distribution, and Gamma
distribution. Goodness-of-fit tests are applied to examine the best probability functions of
each distribution to be analyzed. The distribution that meets the criteria of Coefficient of
Determination, Chi-Square, and Root Mean Square Error is the Weibull distribution, as
evidenced by the probability plots of the Weibull distribution, which closely match the actual
data from various regions. Areas with potential for wind energy to be converted into
electricity are evaluated based on the percentage of wind speeds exceeding 2 m/s. The areas
with the highest potential are Tuban with a percentage of 56.89%, Malang with 56.71%, and
Bandung with 50.20%.