Prediksi Tingkat Kenyamanan Termal Kota Pontianak Menggunakan Jaringan Saraf Tiruan
DOI:
https://doi.org/10.26418/pf.v8i3.43560Abstract
Prediksi tingkat kenyamanan termal Kota Pontianak berdasarkan nilai Temperature Humidity Index (THI) telah dilakukan menggunakan jaringan syaraf tiruan propagasi balik (JSTPB). Data bulanan kelembapan dan suhu udara pada tahun 2009 hingga 2018 digunakan sebagai masukan bagi proses pelatihan jaringan, sementara proses validasi menggunakan data bulanan unsur udara yang sama pada tahun 2019. Arsitektur jaringan yang digunakan untuk unsur kelembapan udara adalah 12 lapisan masukan, 40 lapisan tersembunyi, dan 1 (satu) lapisan keluaran, sementara untuk suhu udara terdiri dari 12 lapisan masukan, 30 lapisan tersembunyi dan 1 (satu) lapisan keluaran. Jaringan yang dibentuk menghasilkan koefisien korelasi kelembapan udara dan suhu udara masing-masing sebesar 0,90 dan 0,91 dan diklasifikasikan sebagai berkorelasi sangat kuat. Nilai THI rata "“ rata tahunan yang dihitung menggunakan data-data unsur udara tersebut adalah 24,83℃. Hasil tersebut menunjukkan bahwa secara rata-rata 50% populasi warga di Kota Pontianak merasakan kondisi termal yang nyaman. Terdapat beberapa bulan yang menunjukkan sebanyak 100% populasi merasakan hal yang sama, yaitu pada bulan Juni, Agustus, Oktober, dan Desember.References
Kalfuadi, Y., 2009, Analisis Temperature Humidity Index (THI) Dalam Hubungannya dengan Ruang Terbuka Hijau. Skripsi. FMIPA.
Emmanuel, R., 2005, Thermal Comfort Implications of Urbanization in a Warm-humid City: The Colombo Metropolitan Region (CMR), Sri Lanka. J Building and Evironment, Vol.40: 1591- 1601.
Marsitha, F.; Wendel, J.P dan Rista, H. V., 2019, Kenyamanan Termal
Klimatologis Kota – Kota Besar Sulawesi Berdasarkan Temperature
Humidity Index (THI), Jurnal Saintika UNPAM, vol.1.
Wati, T. & Fatkhuroyan., 2017, Analisis Tingkat Kenyamanan Di DKI Jakarta Berdasarkan Indeks THI (Temperature Humidity Index), Jurnal Ilmu Lingkungan, vol. 15: 57-63.
Bekalani, A. I.; Arman, Y., dan Jumarang, M. I., 2013, Prediksi Tinggi Signifikan Gelombang Laut Di Sebagian Wilayah Perairan Indonesia Menggunakan Jaringan Syaraf Tiruan Metode Propagasi Balik, PRISMA FISIKA, Vol.I(1): 40–49.
Aprianto, Y.; Nurhasanah., dan Sanubary, I., 2018, Prediksi Kadar Particulate Matter (PM10) untuk Pemantauan Kualitas Udara Menggunakan Jasringan Syaraf Tiruan Studi Kasus Kota Pontianak, POSITRON, Vol.8(1):15-20.
Moustris, K. P.; P. T. Nastos., dan A. G. Paliatos., 2013, One-Day Prediction of Biometeorological Conditions in a Mediterranean Urban Environment Using Artificial Neural Networks Modeling, Hindawi Publishing Corporation, Vol.2013, Article ID 538508.
Kurnia, Ridwan F.A., 2016, Analisis Indeks Kenyamanan Iklim, Departemen Geofisika dan Meteorologi, Institut Pertanian Bogor, Bogor. (Skripsi)
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Date: 24-05-2023
Prisma Fisika
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