cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
M.Pd Asni Tafrikhatin
Contact Email
asni@politeknik-kebumen.ac.id
Phone
+6285643500965
Journal Mail Official
asni@politeknik-kebumen.ac.id
Editorial Address
Letnan Jenderal Suprapto No.73, Kranggan, Bumirejo, Kec. Kebumen, Kabupaten Kebumen, Jawa Tengah 54311
Location
Kab. kebumen,
Jawa tengah
INDONESIA
Jurnal E-Komtek
Published by Politeknik Piksi Ganesha Indonesia
ISSN : 25803719     EISSN : 26223066     DOI : https://doi.org/10.37339/e-komtek.v4i2.269
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Jurnal E-Komtek (Elektro-Komputer-Teknik) is a Journal that contains scientific articles in the form of research results, analytical studies, application of theory, and discussion of various problems relating to Electrical, Computer, and Automotive Mechanical Engineering.
Arjuna Subject : Ilmu Komputer (semua kategori) - Visi Komputer dan Pengenalan Pola
Articles 31 Documents
 1   2   3   4 
Search results for , issue "Vol 8 No 2 (2024)" : 31 Documents clear
Prakiraan Kecepatan Angin Menggunakan Metode Triple Exponential Smoothing di Pantai Pangandaran Hakim, Dimara Kusuma; Yuana Wangsa Putri Setiawan; Supriyono; Maulida Ayu Fitriani4
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i2.2243

Abstract

Indonesia as a maritime country with a long coastline, holds significant potential in the marine and tourism sectors. However, these sectors are often disrupted by adverse weather conditions, particularly irregular wind speeds. Accurate wind speed forecasting is therefore essential for disaster mitigation. This study aims to forecast wind speed at Pantai Pangandaran using the Triple Exponential Smoothing (TES) method, which is more effective in handling data fluctuations with trend and seasonal patterns. The data used includes daily data from January 2014 to September 2024. The results show that the TES method provides highly accurate forecasts, with a low error rate evaluated through an RMSE of 0.51 and a MAPE of 17.85% for wind speed. These forecasts are expected to support disaster mitigation, enhance safety, and improve the efficiency of activities in coastal areas, particularly at Pantai Pangandaran, in facing adverse weather conditions.

Page 4 of 4 | Total Record : 31

 1   2   3   4 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol 9 No 2 (2025) Vol 9 No 1 (2025) Vol 8 No 2 (2024) Vol 8 No 1 (2024) Vol 7 No 2 (2023) Vol 7 No 1 (2023) Vol 6 No 2 (2022) Vol 6 No 1 (2022) Vol 5 No 2 (2021) Vol 5 No 1 (2021) Vol 4 No 2 (2020) Vol 4 No 1 (2020) Vol 3 No 2 (2019) Vol 3 No 1 (2019) Vol 2 No 2 (2018) Vol 2 No 1 (2018) Vol 1 No 1 (2017) More Issue