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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Indonesian Journal of Electrical Engineering and Computer Science Community Development Journal: Jurnal Pengabdian Masyarakat PAKAR Pendidikan Journal of Computer Scine and Information Technology Jurnal Ipteks Terapan : research of applied science and education Jurnal Komtekinfo
Sofika Enggari
Universitas Putra Indonesia YPTK Padang
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The development of color histogram method to identify air quality index based on sky images Sofika Enggari; Sumijan Sumijan; Muhammad Tajuddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 1: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i1.pp186-196

Abstract

Air quality index measurements in Indonesia are carried out by ministry of environment and forestry (KLHK). The Ministry divides air quality levels into 5 categories, namely good, moderate, unhealthy, very unhealthy and dangerous. In this study, 3 air quality categories were used as primary research data, namely good, moderate and unhealthy because the others, never occurred in Indonesia from the time this research was conducted until its completion. This research develops the color histogram method in order to recognize the shape of an object in an image. First stage in this research is inputting the sky image into the system. Then carry out pre-processing in the form of cropping the image to obtained is only an image of sky. Next, convert the red, green and blue (RGB) colored sky image to Grayscale, then image enhancement, then noise reduction. After that is processed using development of the color histogram method. Refinement of color histogram method has yielded an impressive accuracy level of 90%, validated through the analysis of 30 sky images. The method successfully detected 27 images accurately, while three images posed detection challenges. The findings of this research is color histogram method can be used to identify objects especially air pollution from sky images.
Co-Authors Agung Ramadhanu Arif Hanafi Hafizul Fadli Halifia Hendri Larissa Navia Rani Lili Amareza Patriani Lita Gusrian Mardison Mardison Muhammad Tajuddin Nabila Frisca Oktavia Rahmatul Husna Arsyah Rani Anggraini Sarjon Defit Sepsa Nur Rahman Silfia Andini Sulaiman Harun Sumijan Sumijan Sumijan Syafri Arlis