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Susilawati, M.Si
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Sistem Monitoring Level Air dan Volume Air Menggunakan Sensor Ultrasonic Berbasis Blynk (IoT) Putri Ayu Dina; Nadila Hardiyanty; Mutiara Isya Meliana; Resti Dwi Artika; Susilawati, M.Si
Jurnal Ilmiah Wahana Pendidikan Vol 12 No 5.C (2026): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

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This study presents the design and implementation of a real-time water level and volume monitoring system for water towers, aimed at preventing water shortages and ensuring efficient water management. The system is built on the Internet of Things (IoT) framework, utilizing the Blynk platform to enable remote monitoring. Water height is measured using an HC-SR04 ultrasonic sensor, while an ESP32 microcontroller processes the collected data. The water level information is displayed both locally on a 16x2 I2C LCD and remotely via the Blynk application, allowing users to monitor water status anytime and anywhere. Furthermore, the system is equipped with a notification feature that alerts users when the water level approaches the minimum threshold, enhancing proactive management. The proposed system demonstrates a simple, cost-effective, and reliable solution for real-time water monitoring, providing both convenience and operational efficiency in water resource management.
Indonesia Sistem Monitoring Kesehatan Tanaman Hidroponik Portable di Dalam Ruangan dengan Integrasi Smartphone Berbasis IoT untuk Pertanian Cerdas Muhammad Rifal Rifdiansyah; Pita Hutabalian; Nadiyah Nur Rafifah; Susilawati, M.Si
Jurnal Ilmiah Wahana Pendidikan Vol 12 No 5.D (2026): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

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Monitoring system based on the Internet of Things (IoT) was developed using an ESP32 microcontroller and the Blynk application. The system integrates temperature and humidity sensors (DHT22), a soil moisture sensor (YL-69), and a light sensor (LDR), transmitting real-time data to a smartphone. The test results indicate that the system accurately and reliably monitors indoor plant conditions. Therefore, this system supports ef icient and water-saving smart farming practices that can be easily implemented by urban farmers and communities.
Rancang Bangun Pemilah Sampah Organik dan Anorganik Berbasis Arduino Dimas Smeichel Maliseono; Muhammad Rizqi Warsita; Rivan Herdyansyah; Naufal Rifqi Azfar; Susilawati, M.Si
Jurnal Ilmiah Wahana Pendidikan Vol 12 No 6.B (2026): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

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The problem of waste accumulation in Indonesia is often caused by a lack of awareness and inadequate facilities for waste separation at the source. Manual sorting is considered inefficient and poses health risks. The aim of this study is to develop and build a prototype for an automated waste sorting system capable of separating organic and inorganic waste. The research follows an experimental approach using an Arduino Uno R3 as the main controller. The system integrates an HC-SR04 ultrasonic sensor for object detection, an inductive proximity sensor for metal detection, and a TCS3200 color sensor to identify organic waste based on its dominant color (green). Additionally, a DHT22 sensor is used to monitor the ambient temperature inside the waste container. Test results show that the device detects metal waste with 100% accuracy using the inductive sensor and separates organic waste (leaves) from non-metallic inorganic waste with an average success rate of 85% using the color sensor under controlled lighting conditions. This system is intended to provide an effective and hygienic solution for waste separation on a household scale.
Perancangan Prototipe Alat Pendeteksi Banjir berbasis esp32 dan IoT di Perumahan Tridaya Indah Bekasi Fahmi Al Ashri; Pandapotan Kristian Sitorus; Naufal Ilham Ramadhan; Danendra Ganijan Sunarso; Susilawati, M.Si
Jurnal Ilmiah Wahana Pendidikan Vol 12 No 6.B (2026): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

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Flooding is a serious and recurring problem in the Tridaya Indah Housing complex, Bekasi. Delays in information and emergency response often exacerbate the disaster's impact. This research aims to design an Internet of Things (IoT) based prototype for a flood early warning system (EWS) and mitigation. The research method used is Prototyping, which includes the stages of requirements gathering, design, prototype building, evaluation, and iteration. This system integrates an ESP32 microcontroller as the main processing unit, a JSN-SR04T ultrasonic sensor for water level detection, a flame sensor for secondary hazard (fire) detection, a buzzer as a local alarm, and a relay-controlled mini water pump for automatic mitigation. Remote monitoring and real-time notifications are implemented using the Blynk platform via a smartphone application. The black-box testing results show that the prototype functions 100% as designed. The system successfully differentiated three condition levels (Safe, Alert, Danger) accurately, and successfully activated the buzzer and water pump when the "Danger" level was reached, while simultaneously sending notifications to the user. This 4-in-1 integrated system (detection, local alarm, remote alarm, and mitigation) is proven feasible for implementation as a proactive early warning and flood response solution for the case study at Tridaya Indah Housing.
Co-Authors Danendra Ganijan Sunarso Dimas Smeichel Maliseono Fahmi Al Ashri Muhammad Rifal Rifdiansyah Muhammad Rizqi Warsita Mutiara Isya Meliana Nadila Hardiyanty Nadiyah Nur Rafifah Naufal Ilham Ramadhan Naufal Rifqi Azfar Pandapotan Kristian Sitorus Pita Hutabalian Putri Ayu Dina Resti Dwi Artika Rivan Herdyansyah