KLASIFIKASI TINGKAT NITROGEN DIOKSIDA (NO2) TERHADAP KUALITAS UDARA DI JAKARTA MENGGUNAKAN ALGORITMA RANDOM FOREST

SUHADA, PUTRI BILQISTI MUTIARA (2024) KLASIFIKASI TINGKAT NITROGEN DIOKSIDA (NO2) TERHADAP KUALITAS UDARA DI JAKARTA MENGGUNAKAN ALGORITMA RANDOM FOREST. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

Air quality in Jakarta has become a major concern due to its impact on human health and the environment. This study aims to assess air quality in DK Jakarta based on the classification of Nitrogen Dioxide (NO2) concentrations using the Random Forest Algorithm. The model demonstrated remarkable performance in classifying Nitrogen Dioxide (NO₂), achieving accuracies of 95.76% in West Jakarta, 97.76% in East Jakarta, 97.76% in North Jakarta, and 91% in Central Jakarta. Although the accuracy in South Jakarta was slightly lower (87.69%), the model still delivered satisfactory results. Analysis of Nitrogen Dioxide (NO₂) concentration patterns revealed inter-regional variations. West and South Jakarta exhibited relatively stable patterns, while East Jakarta experienced daily fluctuations with consistently high and unhealthy Nitrogen Dioxide (NO₂) concentrations. Nitrogen Dioxide (NO₂) concentrations in North Jakarta were classified as moderate, while those in Central Jakarta were classified as unhealthy. These findings highlight the need for further research, targeted interventions, and public awareness campaigns to address air pollution in DK Jakarta. Kata kunci: Air Quality, Classification, Jakarta, Nitrogen Dioxide (NO2), Random Forest Algorithm Kualitas udara di Jakarta telah menjadi perhatian utama karena dampaknya terhadap kesehatan manusia dan lingkungan. Penelitian ini bertujuan untuk menilai kualitas udara di DKI Jakarta berdasarkan klasifikasi konsentrasi Nitrogen Dioksida (NO2) menggunakan Algoritma Random Forest. Model menunjukkan kinerja yang luar biasa dalam mengklasifikasikan Nitrogen Dioksida (NO2), mencapai akurasi 95,76% di Jakarta Barat, 97,76% di Jakarta Timur, 97,76% di Jakarta Utara, dan 91% di Jakarta Pusat. Meskipun akurasi di Jakarta Selatan sedikit lebih rendah (87,69%), model tetap memberikan hasil yang memuaskan. Analisis pola konsentrasi Nitrogen Dioksida (NO2) menunjukkan variasi antar wilayah. Jakarta Barat dan Selatan menunjukkan pola yang relatif stabil, sedangkan Jakarta Timur mengalami fluktuasi harian dengan konsentrasi Nitrogen Dioksida (NO2) yang tinggi dan tidak sehat secara konsisten. Konsentrasi Nitrogen Dioksida (NO2) di Jakarta Utara diklasifikasikan sebagai sedang, sedangkan di Jakarta Pusat diklasifikasikan sebagai tidak sehat. Temuan ini menyoroti perlunya penelitian lebih lanjut, intervensi yang ditargetkan, dan kampanye kesadaran publik untuk mengatasi polusi udara di DKI Jakarta. Kata kunci: Kualiatas Udara, Algoritma Random Forest, Nitrogen Dioksida (NO2), Jakarta, Klasifikasi

Item Type: Thesis (S1)
Call Number CD: FIK/INFO. 24 190
Call Number: SIK/15/24/138
NIM/NIDN Creators: 41520010087
Uncontrolled Keywords: Kualiatas Udara, Algoritma Random Forest, Nitrogen Dioksida (NO2), Jakarta, Klasifikasi
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 020 Library and Information Sciences/Perpustakaan dan Ilmu Informasi > 025 Operations, Archives, Information Centers/Operasional Perpustakaan, Arsip dan Pusat Informasi, Pelayanan dan Pengelolaan Perpustakaan > 025.4 Subject Analysis and Control/Subjek Analisis dan Kontrol Perpustakaan > 025.46 Classification of Specific Subject/Klasifikasi Khusus
500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 510 Mathematics/Matematika > 518 Numerical Analysis/Analisis Numerik, Analisa Numerik > 518.1 Algorithms/Algoritma
600 Technology/Teknologi > 660 Chemical Engineering and Related Technologies/Teknologi Kimia dan Ilmu yang Berkaitan
600 Technology/Teknologi > 660 Chemical Engineering and Related Technologies/Teknologi Kimia dan Ilmu yang Berkaitan > 661 Technology of Industrial Chemicals/Teknologi Industri Kimia
600 Technology/Teknologi > 660 Chemical Engineering and Related Technologies/Teknologi Kimia dan Ilmu yang Berkaitan > 661 Technology of Industrial Chemicals/Teknologi Industri Kimia > 661.6 Sulfur and Nitrogen Salts/Sulfur dan Garam Nitrogen
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: khalimah
Date Deposited: 03 Sep 2024 03:28
Last Modified: 03 Sep 2024 03:28
URI: http://repository.mercubuana.ac.id/id/eprint/91079

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