IDENTIFIKASI KUALITAS UDARA DI JALAN JENDRAL AHMAD YANI TANJUNG ENIM KABUPATEN MUARA ENIM

Air polluted by fine particles, such as PM2.5 and PM10, significantly affects human health, especially in areas with dense transportation and industrial activities. This study aims to identify air quality on Jalan Jenderal Ahmad Yani, Tanjung Enim, Lawang Kidul District, Muara Enim Regency, in 2024. The method used is a quantitative approach with a cross-sectional design. Measurements were taken at three locations in the morning, afternoon, and evening, using the inScienPro DAZ-400 tool to measure PM2.5, PM10, temperature, humidity, and wind speed. The results showed that the concentrations of PM2.5 and PM10 exceeded the air quality standards, especially at night, with the highest PM2.5 concentration at 12433 µg/m³ and PM10 at 12433 µg/m³. The conclusion of this study is that the air quality in the area is heavily polluted due to heavy vehicle activities, especially coal trucks. It is recommended that the local government consider restricting heavy vehicle traffic during peak hours and regularly monitor air quality to protect public health.

Authors

Institutions

Publication Details

Journal
Jurnal Keperawatan Abdurrab
Published
2024-12-23
DOI
https://doi.org/10.36341/jka.v8i2.5267
Primary Topic
Urban Transport Systems Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IDENTIFIKASI KUALITAS UDARA DI JALAN JENDRAL AHMAD YANI TANJUNG ENIM KABUPATEN MUARA ENIM

Berta Afriani, Fera Meliyanti, Nurhasana Sinaga
Jurnal Keperawatan Abdurrab
Urban Transport Systems Analysis
article

IDENTIFIKASI KUALITAS UDARA DI JALAN JENDRAL AHMAD YANI TANJUNG ENIM KABUPATEN MUARA ENIM

Berta Afriani, Fera Meliyanti, Nurhasana Sinaga
article en

Abstract

Air polluted by fine particles, such as PM2.5 and PM10, significantly affects human health, especially in areas with dense transportation and industrial activities. This study aims to identify air quality on Jalan Jenderal Ahmad Yani, Tanjung Enim, Lawang Kidul District, Muara Enim Regency, in 2024. The method used is a quantitative approach with a cross-sectional design. Measurements were taken at three locations in the morning, afternoon, and evening, using the inScienPro DAZ-400 tool to measure PM2.5, PM10, temperature, humidity, and wind speed. The results showed that the concentrations of PM2.5 and PM10 exceeded the air quality standards, especially at night, with the highest PM2.5 concentration at 12433 µg/m³ and PM10 at 12433 µg/m³. The conclusion of this study is that the air quality in the area is heavily polluted due to heavy vehicle activities, especially coal trucks. It is recommended that the local government consider restricting heavy vehicle traffic during peak hours and regularly monitor air quality to protect public health.

Jurnal Keperawatan AbdurrabVol. 8(2)
Universitas Baturaja (ID)
Openalex Percentile: Top 71%
Urban Transport Systems Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

IDENTIFIKASI KUALITAS UDARA DI JALAN JENDRAL AHMAD YANI TANJUNG ENIM KABUPATEN MUARA ENIM — Berta Afriani, Fera Meliyanti, et al. · Jurnal Keperawatan Abdurrab (2024) | TGRS Research Map | TGRS