Claim Missing Document
Check
Articles

Found 2 Documents
Search

Analisis Korelasi Temporal Polutan Udara dan Kasus ISPA di Kabupaten Karawang Tahun 2023 Sebagai Dasar Perancangan Sensor IoT Kualitas Udara Lokal Mahmudah Salwa Gianti; Farah Aulia Kirana; Hanif Aidil Rachman; Muhammad Rifai Ayatulloh; Dewi Indriati Hadi Putri
Jurnal Sosial Teknologi Vol. 6 No. 7 (2026): Jurnal Sosial dan Teknologi
Publisher : CV. Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jurnalsostech.v6i7.32932

Abstract

Kabupaten Karawang sebagai salah satu kawasan industri terbesar di Indonesia menghadapi permasalahan kualitas udara akibat tingginya aktivitas industri dan transportasi yang berpotensi meningkatkan risiko penyakit Infeksi Saluran Pernapasan Akut (ISPA). Penelitian ini bertujuan untuk mengidentifikasi hubungan temporal antara konsentrasi polutan udara dan kasus ISPA di Kabupaten Karawang tahun 2023 serta menentukan parameter polutan prioritas sebagai dasar perancangan sistem sensor Internet of Things (IoT) kualitas udara lokal. Penelitian menggunakan pendekatan kuantitatif deskriptif-korelatif berbasis data sekunder dengan metode Knowledge Discovery in Databases (KDD). Data polutan diperoleh dari Open-Meteo Air Quality API berbasis model Copernicus Atmosphere Monitoring Service (CAMS), sedangkan data kasus ISPA berasal dari Dinas Kesehatan Kabupaten Karawang. Analisis dilakukan melalui tahapan preprocessing, agregasi temporal, rekayasa fitur lag, dan uji korelasi Pearson. Hasil penelitian menunjukkan bahwa sulfur dioksida (SO₂) dengan efek jeda satu bulan (lag-1) memiliki korelasi paling kuat terhadap kasus ISPA dengan nilai r = 0,635 dan p = 0,036. Selain itu, ozon dan PM₂.₅ juga menunjukkan hubungan positif pada skenario lag-1. Temuan ini menunjukkan bahwa respons kesehatan terhadap paparan polutan memiliki pola temporal tertentu. Penelitian menyimpulkan bahwa SO₂, ozon, dan PM₂.₅ merupakan parameter prioritas dalam pengembangan sensor IoT kualitas udara lokal untuk mendukung pemantauan dan mitigasi risiko ISPA di kawasan industri Karawang.
Sistem Deteksi Lokasi Kebocoran Pipa Distribusi Air Menggunakan Analisis Pola Aliran Multi-Node Berbasis Protokol MQTT Diky Zakaria; Mahmudah Salwa Gianti; Hanif Aidil Rachman; Muhamad Rifai Ayatulloh; Farah Aulia Kirana; Aulia Aufa Zahron
Majalah Ilmiah Teknologi Elektro Vol 25 No 1 (2026): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2026.v25.01.p03

Abstract

This preliminary study presents a prototype of an Internet of Things (IoT)-based leak detection system for water distribution pipelines. Water loss in conventional networks can reach 20–50% due to delayed response. This research aims to design a prototype that monitors flow rate patterns from multiple pipeline points to identify leak locations based on deviations from normal flow. The system integrates ESP32 microcontrollers and flow sensors across four nodes, transmitting data in real-time to a PHP-based graphical interface via the MQTT protocol. Controlled experiments were conducted using a small-scale prototype with two simulated leak points. Unlike conventional systems that solely rely on monitoring, this architecture implements a closed-loop control mechanism for automated mitigation. Test results show the system successfully localized leaks with a 100% success rate across 13 simulated scenarios without any false positives. Hydraulic anomalies, characterized by increased flow at the sensor before the leak point (due to pump compensation) and a drastic flow reduction at the sensor after the leak point, proved to be effective localization parameters. Communication system evaluation recorded data transmission operating with <1-second latency and 0% data loss. Furthermore, the automated mechanism successfully executed the pump shutdown command (relay off) within 1-2 seconds after a leak was detected. These results confirm the reliability of the proposed architecture in rapidly minimizing water loss. Future research will focus on field testing, sensor optimization, and the development of predictive models.