Janu Andina Aryanti, Pramudya Bagas Utama, Maitsa Fikri Nabila

THE EFFECTIVENESS OF ONLIMO UTILIZATION FOR WATER QUALITY MONITORING OF POLLUTION IN THE DOWNSTREAM AREA OF JANGKOK RIVER, MATARAM CITY

Introduction

The effectiveness of onlimo utilization for water quality monitoring of pollution in the downstream area of jangkok river, mataram city. Evaluate ONLIMO's effectiveness for real-time water quality monitoring of pollution in Mataram City's Jangkok River. Compares accuracy, time, and cost against lab analysis, finding it efficient with noted limitations.

Abstract

The Jangkok River in Mataram City, Nusa Tenggara Barat, experiences severe pollution due to domestic and industrial waste. To monitor water quality in real-time, the Online Monitoring (ONLIMO) system has been implemented. This study aims to evaluate the effectiveness of ONLIMO compared to laboratory analysis in terms of accuracy, time, and cost. Physical and chemical parameters such as BOD, COD, DO, Nitrite, Nitrate, pH, TDS, and turbidity were analyzed using the Pollution Index (IP) method based on the Decree of the Minister of Environment No. 115 of 2003. The results showed an average Ci/Lij value of 1.70 with a maximum IP of 115.97 from ONLIMO, while the laboratory analysis produced an IP of 98.26 with a maximum Ci/Lij of 138.9. Nitrite (11.15–14.35) and turbidity (6.55–9.74) were identified as dominant contributors to pollution. In terms of efficiency, ONLIMO proved faster, with real-time monitoring and lower operational costs compared to laboratory methods, which require sample collection and manual analysis. However, ONLIMO has limitations in detecting certain parameters such as BOD. Overall, ONLIMO is considered efficient and effective for monitoring the water quality of Jangkok River, with potential improvements through the integration of additional methods for more accurate and comprehensive results.

Review

This study provides a timely evaluation of the Online Monitoring (ONLIMO) system, addressing the critical issue of severe pollution in the Jangkok River, Mataram City, primarily from domestic and industrial waste. The research aims to comprehensively assess ONLIMO's effectiveness against conventional laboratory analysis, focusing on crucial aspects such as accuracy, time efficiency, and cost. By investigating a modern real-time monitoring solution, the paper contributes valuable insights into practical approaches for managing water quality in highly impacted aquatic ecosystems. The methodology involved analyzing key physical and chemical parameters, including BOD, COD, DO, Nitrite, Nitrate, pH, TDS, and turbidity, using the Pollution Index (IP) method. The comparative results indicate that while both methods identified significant pollution, with ONLIMO showing a maximum IP of 115.97 and laboratory analysis 98.26, Nitrite and turbidity were consistently highlighted as dominant contributors. A key finding is ONLIMO's superior efficiency, offering real-time data and lower operational costs compared to the time-consuming processes of sample collection and manual laboratory analysis. Nevertheless, the study prudently acknowledges a limitation of the ONLIMO system in detecting certain parameters, such as BOD, which remains an important indicator for organic pollution. Overall, the research effectively concludes that the ONLIMO system represents an efficient and effective solution for water quality monitoring in the Jangkok River. Its benefits in terms of speed and cost reduction are significant for prompt pollution detection and response. The identified limitation regarding specific parameter detection, particularly BOD, is well-noted, and the suggestion for integrating additional methods to achieve more accurate and comprehensive results offers a clear path for future improvements. This study makes a strong case for the adoption of real-time monitoring technologies, underscoring their potential to enhance environmental management strategies for urban rivers facing severe pollution challenges.

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