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All Journal Jurnal Sistem Cerdas Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT) Jurnal Sosial dan Teknologi
Mahmudah Salwa Gianti
Universitas Pendidikan Indonesia
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice

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An Intelligent IoT-Based Water Quality Monitoring and STORET Index Prediction System Using Random Forest Yohanes Nugroho; Dewi Indriati Hadi Putri; Mahmudah Salwa Gianti
Jurnal Sistem Cerdas Vol. 9 No. 1 (2026)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v9i1.603

Abstract

Hygiene sanitation water quality fluctuates due to environmental dynamics, yet conventional monitoring systems generally lack the predictive capabilities compliance with health standards (Permenkes No. 2 of 2023). This study aims to develop an intelligent Water Quality Monitoring System (WQMS) capable of predicting water quality status based on the STORET index using the Random Forest algorithm. [Methods] The proposed system integrates an ESP32-S3 microcontroller with calibrated low-cost sensors for real-time data acquisition. To ensure data integrity, regression was applied for sensor calibration, while the STORET method was utilized to determine pollution levels and water feasibility. A Random Forest regression model was then trained using these processed datasets to classify water quality status. Experimental results demonstrated high hardware precision, achieving Mean Absolute Percentage Error (MAPE) values of 5.38% for pH, 2.24% for TDS, and 0.22% for the Flow Meter. Furthermore, the Random Forest model exhibited superior predictive performance, yielding a Coefficient of Determination () of 0.9977, a Mean Absolute Error (MAE) of 0.2213, and a Root Mean Squared Error (RMSE) of 0.5144. These findings indicate that the integrated system effectively combines accurate sensing with robust predictive modeling. Consequently, the system is categorized as highly capable of providing real-time insights and early warnings, offering a significant improvement over traditional monitoring methods for public health safety.
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.
Glucose Detection Based on Light Reflection in Modulated Optical Fibers for Continuous Diabetes Monitoring Mahmudah Salwa Gianti; Ahmad Fauzi; Muhammad Rizalul Wahid; Taufik Ridwan; Tri Seda Mulya
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.6.1.86301

Abstract

Diabetes mellitus is a chronic disease characterized by elevated blood glucose levels. Approximately 463 million adults worldwide have diabetes, and nearly half of them remain undiagnosed. Early diagnosis and treatment of diabetes are crucial to prevent serious complications. Continuous glucose monitoring (CGM) offers numerous advantages over traditional fingertip blood glucose measurements. CGM allows patients to track their glucose levels in real time, identify patterns, and adjust their diet and medication appropriately. This research presents a novel optical fiber-based glucose sensor utilizing the macrobending modulation technique. This method offers several advantages, including ease of use, low cost, and strong signal generation. The sensor exploits the refractive index difference between the glucose solution and the optical fiber. Variations in glucose concentration induce changes in the refractive index, which are converted into voltage signals. The sensor exhibits a sensitivity of 337 mV/decade and demonstrates a linear relationship between the voltage signal and glucose concentration within the range of 0-10 mM. The macro bending-modulated optical fiber sensor shows potential as a simple, cost-effective, and efficient CGM tool. Further research is necessary to enhance the sensor's sensitivity and stability and to evaluate its performance in biological samples.  
Co-Authors Ahmad Fauzi Farah Aulia Kirana Hadi Putri, Dewi Indriati Hanif Aidil Rachman Muhammad Rifai Ayatulloh Muhammad Rizalul Wahid Taufik Ridwan Tri Seda Mulya Yohanes Nugroho