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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL INSTEK (Informatika Sains dan Teknologi) JOURNAL OF SCIENCE AND SOCIAL RESEARCH PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Jurnal Ilmiah Teknik Informatika dan Komunikasi Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) JIKTEKS : Jurnal Ilmu Komputer dan Teknologi Informasi
Andre Pratama
Universitas Satya Terra Bhinneka
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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PERBANDINGAN PREDIKSI POLUSI UDARA MENGGUNAKAN LSTM DAN BILSTM Andre Pratama; Asha Sembiring; Junerdi Nababan; Muhammad Imam Zarkasyi; Novriza Rahayu
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.3596

Abstract

Abstract: Air pollution has become a serious problem in densely populated urban areas such as DKI Jakarta. To mitigate its negative impacts, an accurate air pollution prediction system is necessary. This study compares the performance of two deep learning models, Long Short-Term Memory (LSTM) and Bidirectional Long Short-Term Memory (BiLSTM), in predicting PM10 concentration using air quality data from DKI Jakarta between 2016 and 2019. The research process includes data collection and preprocessing, model training, and model evaluation. Both models were tested with various parameters such as the number of hidden neurons, dropout rate, epochs, and batch size. The results consistently show that BiLSTM outperforms LSTM, achieving lower Root Mean Square Error (RMSE) values across 54 testing scenarios. The best BiLSTM configuration, with 64 hidden neurons, 0.2 dropout rate, 50 epochs, and batch size 16, yielded an RMSE of 9.311401. Meanwhile, the best LSTM configuration, with 128 hidden neurons, 0.1 dropout rate, 100 epochs, and batch size 16, produced an RMSE of 9.330554. The advantage of BiLSTM lies in its ability to process data bidirectionally, making it more effective in capturing temporal patterns for air pollution prediction compared to LSTM. Keywords: air pollution prediction, pollutant, deep learning, LSTM, BiLSTM Abstrak: Pencemaran udara menjadi masalah serius di wilayah perkotaan padat seperti DKI Jakarta. Untuk mengurangi dampak negatifnya, diperlukan sistem prediksi polusi udara yang akurat. Penelitian ini membandingkan performa dua model deep learning, Long Short-Term Memory (LSTM) dan Bidirectional Long Short-Term Memory (BiLSTM), dalam memprediksi konsentrasi PM10 menggunakan data kualitas udara DKI Jakarta tahun 2016-2019. Proses penelitian mencakup pengumpulan dan praproses data, pelatihan model, serta evaluasi model. Kedua model diuji dengan berbagai parameter seperti jumlah hidden neuron, dropout rate, epoch, dan batch size. Hasil menunjukkan BiLSTM lebih unggul secara konsisten dengan nilai Root Mean Square Error (RMSE) lebih rendah melalui 54 skenario pengujian. Konfigurasi terbaik BiLSTM menggunakan 64 hidden neuron, dropout rate 0.2, 50 epoch, dan batch size 16 menghasilkan RMSE 9.311401. Sedangkan konfigurasi LSTM terbaik pada 128 hidden neuron, dropout rate 0.1, 100 epoch, dan batch size 16 menghasilkan RMSE 9.330554. Keunggulan BiLSTM terletak pada kemampuannya memproses data dua arah, sehingga lebih efektif dalam menangkap pola temporal untuk prediksi polusi udara dibandingkan LSTM.  Kata kunci: prediksi polusi udara, polutan, deep learning, LSTM, BiLSTM
Co-Authors Ahmad Yusuf Roky Ananda, Zhafran Fatih Asha Sembiring Aurlani, Febry Dimas Jordan Fardhina, Azura Farhan Muhammad Ginting, Irsya Chlara Br Henny Risni Indri Yani, Sylvia Jefferson Ong Jimmy Sunjaya Junerdi Nababan Marcelia Anggiriani Marta Tabita Anggi Silitonga Marwah Marwah Muhammad Imam Zarkasyi Novriza Rahayu Rahayu, Novriza Rezky Firmansyah Ziliwu Salsabila, Nadiyah Shofa Salwa Nabila Sembiring, Asha Sibarani, Mika Ria Waty Br Simamora, Windi Saputri Siregar, Ramadhan Mustaqim Siti Sarah Harahap Siti Sarah Harahap Tri Tia Fahada Windi Saputri Simamora Zarkasyi, Muhammad Imam