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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.
Optimasi Lingkungan Tenang dengan Sistem Monitoring Kebisingan Menggunakan Logika Fuzzy Diar Dwi Sutia; Endah Setyowati; Dewi Indriati Hadi Putri
Faktor Exacta Vol 18, No 1 (2025)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v18i1.24869

Abstract

An evaluation of stereo vision for distance estimation using the SGBM algorithm in the CARLA simulator Rizky Hamdani Sakti; Liptia Venica; Dewi Indriati Hadi Putri; Shinta Rohmatika Kosmaga; Estiko Rijanto
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1284

Abstract

This paper presents an evaluation of stereo vision based on the semi-global block matching (SGBM) algorithm for distance estimation in an autonomous parking scenario using the CARLA simulator. Distance-disparity regression functions are explored to enhance distance estimation accuracy. The proposed distance estimation model was evaluated using the design science research methodology (DSRM) framework, with experimental validation conducted in CARLA’s promenade environment. The evaluation employed root mean square error (RMSE) and relative error metrics to assess performance. Experiments were performed within a range of 40-350 cm, which is relevant for autonomous parking applications. The experimental results show that the algorithm achieves an overall RMSE of 1.69 cm and an average relative error of 1.1 %. The findings contribute to the advancement of perception systems for autonomous vehicles, particularly in challenging environments.
IoT with Firebase: Smart Ring Android App Using MAX30100 for Fatigue Detection Liptia Venica; Elysa Nensy Irawan; Dewi Indriati Hadi Putri
Journal of Electrical, Electronic, Information, and Communication Technology Vol 6, No 1 (2024): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.6.1.81312

Abstract

IoT in healthcare enables real-time health monitoring & data evaluation of patient conditions. One of the benefits of IoT wearable devices is protecting a person from getting exhausted. Body fatigue is an indicator of the emergence of several problems such as sudden attacks of dangerous diseases, accidents, and so on. The large number of deaths from various diseases and accidents that are triggered by body fatigue makes monitoring the level of body fatigue important to minimize this. Through this research, we proposed the Smart Ring; a tool for monitoring and evaluating the level of body fatigue using a wearable sensor and based on the Internet of Things (IoT). In this article, we focus on developing the software component (Android application) and database management system of the Smart Ring IoT system. Age, heart rate, SpO2, and body temperature are used as indicators to determine user’s body condition categories. These data are collected through sensors on hardware part of Smart Ring System. The proposed database management system is able to store collected data inside NoSQL database in the form of documents. Smart Ring Android-based application is capable to monitor three user’s body condition and evaluate them to predict the user’s condition with classification accuracy of 100% within the defined categorization rules. It offers real-time user monitoring for exhaustion signs and triggering timely alerts with sub-2-second data processing under ideal conditions. The proposed Smart Ring system is expected to become an easy to develop, economical and portable medical device which help improve the welfare of society 5.0 in the health sector.
Adaptive System for Streetlights in the Shopping Center Area of Purwakarta Region using Fuzzy Logic Method Dewi Indriati Hadi Putri; Hafiyyan Putra Pratama; Liptia Venica; Vormes Gema Merdeka; Makna A'raaf Kautsar
Journal of Electrical, Electronic, Information, and Communication Technology Vol 5, No 2 (2023): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.5.2.79675

Abstract

Streetlight systems generally use time condition as the parameter, which set the lights to be always on during specified period. This way, the system has flaws in its inefficiency and ineffectiveness. The system designed in this research considers the intensity of surrounding lights and passing pedestrians as the parameters, and fuzzy logic to get fuzzier output of the luminosity level for the streetlight. From the results of testing and analysis, it can be concluded that the design in this research has been successfully built as the results obtained are in accordance with the previously set fuzzy logic universe of discourse. By implementing an adaptive street lighting system in this study can help streamline light energy, because the street lighting lights can adjust themselves depending on the presence or absence of pedestrians passing by using a PIR sensor and the level of light brightness in that place using an LDR sensor.