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Andi Akram Nur Risal
Universitas Negeri Makassar
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Journal : Jurnal Tekno Insentif

 1 
Implementasi Teknik Data Mining terhadap Klasifikasi Data Prediksi Curah Hujan BMKG Di Sulawesi Selatan Andi Sadri Agung; A. Arfan Fauzi; Andi Akram Nur Risal; Fhatiah Adiba
Jurnal Tekno Insentif Vol 17 No 1 (2023): Jurnal Tekno Insentif
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah IV

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36787/jti.v17i1.955

Abstract

Abstrak Cuaca cenderung tidak stabil dan susah diprediksi mempengaruhi beberapa sektor kehidupan manusia. Pemanfaatan teknologi dibidang data sains dalam memprediksi cuaca mendatang sangat dibutuhkan. Badan Meteorologi Klimatologi dan Geofisika (BMKG) merupakan organisasi pemerintahan, bertugas memprediksi cuaca di Indonesia. Namun dalam menentukan akurasi data, diperlukan metode yang memprediksi cuaca dengan akurat. Penelitian ini bertujuan menghasilkan informasi dari klasifikasi data prediksi curah hujan BMKG di Sulawesi Selatan. Klasifikasi dibagi menjadi 5 kategori dengan 1036 data dan 11 atribut. Pengumpulan data dimulai dari 1 Januari 2020 hingga 31 Oktober 2022. K = 3 menjadi nilai K terbaik dengan akurasi mencapai 82,21%. Sehingga disimpulkan bahwa data prediksi curah hujan BMKG memiliki tingkat akurasi data yang baik dan hasil penelitian ini dapat dijadikan acuan dalam menginformasikan curah hujan di Sulawesi Selatan. Abstract The weather tends to be unstable and difficult to predict, affecting several sectors of human life. The utilization of technology in the field of scientific data in predicting future weather is urgently needed. The Meteorology, Climatology, and Geophysics Agency (BMKG) is a government organization, tasked with predicting weather in Indonesia. But in determining the accuracy of data, we require a method that predicts the weather accurately. This study aims to produce information from the classification of BMKG rainfall prediction data in South Sulawesi. Classification is divided into 5 categories with 1036 data and 11 attributes. Data collection starts from 1 January 2020 to 31 October 2022. K = 3 is the best K value with an accuracy of 82.21%. So it was concluded that BMKG rainfall prediction data has a good data accuracy level, and this study's results can be used as a reference in informing rainfall in South Sulawesi.
Co-Authors A. Arfan Fauzi Abdul Wahid Al Imran Alfian Firlansyah Andi Aisyah Nurfitri Andi Alamsyah Rivai Andi Baso Kaswar Andi Baso Kaswar Andi Sadri Agung Anita Candra Dewi Dewi Fatmarani Surianto Dirawan, Gufran Darma Dwi Rezky Anandari Sulaiman Dyah Darma Andayani Fathahillah Fathahillah Fathahillah Fathahillah Fhatiah Adiba Fhatiah Adiba Fhatiah Adiba Fhatiah Adibah Hartanto Tantriawan Jumadi Mabe Parenreng M. Miftach Fakhri M. Syahid Nur Wahid Marwan Ramdhany Edy Muhammad Akbar Amir Muhammad Fajar B Muhammad Nur Yusri Muhlis Tahir Muliadi Muliadi Mulyati Yantahing Mustari S Lamada Ninik Rahayu Ashadi Nur Azizah Ayu Safanah Nur Inayah Yusuf Nurjannah Nurjannah Nurjannah Nurul Isra Humaira Baktiar Nurul Mukhlisah Abdal R., Mantasiah Ridwan Daud Mahande Rivai, Andi Tenri Ola Trisakti Akbar