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Journal : Jurnal Teliska

SISTEM MONITORING VOLUME DAN BERAT SAMPAH PADA ALAT PEMILAH SAMPAH ORGANIK DAN ANORGANIK BERBASIS INTERNET OF THINGS MENGGUNAKAN APLIKASI BLYNK Salamah, Annisa; Kusumanto, RD; Evelina
JURNAL TELISKA Vol 16 No III November (2023): TELISKA November 2023
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.8207096

Abstract

Currently the accumulation of waste due to bad management will certainly polute the environtment, especially in residential areas. For this reason, a system is needed that can help manage thus waste so that is runs well. This study aims to design and bulid a system that will help to monitoring the weight and volume of waste based on the Internet of Things (IoT) to make it easier for waste workers to know when the waste is full and must be disposed of immediately to a landfill. This monitoring system is uses a load cell weight sensor and ultrasonic sensor JSN-SR04T which is instaleed on the organic and inorganic waste box that integrated with the internet via the NodemCU ESP8266 and controlled by the Arduini Uni microcontroller. This system can measure the weight and volume of waste in real time and send notifications when the waste box is full from a test disatance of 1 km.
PENERAPAN SISTEM PENGELOLAAN SAMPAH PADA ALAT PEMILAH SAMPAH ORGANIK DAN ANORGANIK BERBASIS CONVEYOR DI TPS TANJUNG BARANGAN Perdana, Aditya; Rahman, A.; Kusumanto, RD.
JURNAL TELISKA Vol 16 No III November (2023): TELISKA November 2023
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.8376138

Abstract

The Waste is a prevalent problem in Indonesia, causing environmental pollution, diseases such as dengue, malaria, vomiting, and diarrhea, as well as emitting strong odors in residential areas. Waste sorting is an effective solution to address this issue. Implementing the Conveyor-Based Organic and Inorganic Waste Sorting Tool technology at Tanjung Barangan can help to overcome waste problems in residential areas and facilitate the decomposition and recycling process. This research aims to assess the reliability of capacitive, inductive, and infrared proximity sensors in waste sorting. The study found that the system performed well. The capacitive proximity sensor successfully detected organic waste with a success rate of 75%, while the inductive proximity sensor detected inorganic waste with a success rate of 70%. Once the waste is detected, the information is displayed on the LCD screen, and it is sorted directly into the appropriate trash box based on its type, whether organic or inorganic.The proximity sensors have different detection distances: capacitive proximity sensors can detect objects within a range of 0 to 6 mm, inductive proximity sensors have a range of 0 to 10 mm, and infrared proximity sensors can detect objects within a range of 0 to 14 mm.