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      Sistem Pemilahan Sampah Otomatis dan Monitoring Real-Time Berbasis Internet of Things

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      Date
      2025
      Author
      SAKTI, ROBBY PRIAJI
      Faozan
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      Abstract
      Sampah merupakan salah satu tantangan global yang berdampak signifikan terhadap lingkungan baik lingkungan alam, rumah, maupun lingkungan kerja. Lingkungan kerja yang bersih adalah faktor penting dalam mendukung produktivitas karyawan. Salah satu masalah yang kerap dihadapi dalam menjaga kebersihan adalah manajemen pemilahan sampah yang kurang efektif. Oleh karena itu, dibuatlah sistem pemilahan sampah otomatis dan monitoring real-time berbasis IoT menggunakan sensor proximity induktif, kapasitif, dan infrared untuk mendeteksi jenis sampah dan sensor ultrasonik HC-SR04 untuk monitoring tingkat kepenuhan tempat sampah yang terintegrasi dengan Blynk dan Google Spreadsheet. Fokus sistem ini adalah penggunaan sensor proximity untuk mendeteksi jenis sampah, yaitu sampah logam, organik, dan anorganik serta sensor ultrasonik HC-SR04 untuk mendeteksi tingkat kepenuhan tempat sampah secara real-time. Sampah yang terdeteksi oleh sensor proximity akan dipilah otomatis menggunakan servo, lalu jenis sampah yang masuk serta tingkat kepenuhan tempat sampah akan dikirimkan oleh ESP32 ke aplikasi Blynk dan Google Spreadsheet.
       
      Waste is one of the global challenges that significantly impacts the environment, including natural surroundings, homes, and workplaces. A clean workplace is a crucial factor in supporting employee productivity. One of the common issues in maintaining cleanliness is ineffective waste sorting management. Therefore, an automatic waste sorting and real-time monitoring system based on IoT has been developed, utilizing inductive, capacitive, and infrared proximity sensors to detect waste types and the HC-SR04 ultrasonic sensor to monitor trash bin fullness levels. This system integrates with Blynk and Google Spreadsheet. The primary focus of this system is the use of proximity sensors to detect different types of waste metal, organic, and inorganic while the HC-SR04 ultrasonic sensor monitors the trash bin’s fullness in real time. Waste detected by the proximity sensors is automatically sorted using a servo motor, and the detected waste type along with the bin’s fullness level is transmitted by the ESP32 to Blynk and Google Spreadsheet.
       
      URI
      http://repository.ipb.ac.id/handle/123456789/164638
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      • UT - Computer Engineering Tehcnology [172]

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      Contact Us | Send Feedback
      Indonesia DSpace Group 
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