IoT-Based a Control System for Household Waste Management Machines at Waste Disposal Sites using Human Machine Interface Method
To manage waste efficiently and sustainably, Integrating Algoritma Bellman-Ford in IoT-Based Control Systems for Household Waste Management Machines, the use of automation technologies based on the Internet of Things (IoT) is becoming increasingly relevant. The integration of HMI allows operators to...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Udayana University, Institute for Research and Community Services
2025-01-01
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| Series: | Lontar Komputer |
| Online Access: | https://ojs.unud.ac.id/index.php/lontar/article/view/114103 |
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| author | Pawenary pawenary Hendri Hendri Dwi Listiawati Andi Dyah Harum Hardyanti Yessy Asri Anton Satria Prabuwono |
| author_facet | Pawenary pawenary Hendri Hendri Dwi Listiawati Andi Dyah Harum Hardyanti Yessy Asri Anton Satria Prabuwono |
| author_sort | Pawenary pawenary |
| collection | DOAJ |
| description | To manage waste efficiently and sustainably, Integrating Algoritma Bellman-Ford in IoT-Based Control Systems for Household Waste Management Machines, the use of automation technologies based on the Internet of Things (IoT) is becoming increasingly relevant. The integration of HMI allows operators to manage and control the machine with precision and convenience. The synergy between IoT and HMI promises significant improvements in waste processing speed, accuracy, and safety. Developing a control system using the HMI method is not just a solution but an innovative approach that aims to find an effective solution in managing or destroying waste that requires less labor, so there is no need to increase assistance. The method that will be used in this research is the descriptive statistical method, namely, assessing the technical data needed to develop a control system that complies with the standard. This innovative approach is one of the solutions to the problem of labor shortages in landfills that simplify work and speed up the process of operating machines. |
| format | Article |
| id | doaj-art-7abe009455fd46c99b646fe9b9137920 |
| institution | Kabale University |
| issn | 2088-1541 2541-5832 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Udayana University, Institute for Research and Community Services |
| record_format | Article |
| series | Lontar Komputer |
| spelling | doaj-art-7abe009455fd46c99b646fe9b91379202025-01-31T23:56:26ZengUdayana University, Institute for Research and Community ServicesLontar Komputer2088-15412541-58322025-01-01150316117210.24843/LKJITI.2024.v15.i03.p02114103IoT-Based a Control System for Household Waste Management Machines at Waste Disposal Sites using Human Machine Interface MethodPawenary pawenary0Hendri Hendri1Dwi Listiawati2Andi Dyah Harum Hardyanti3Yessy Asri4Anton Satria Prabuwono5Electrical Engineering Study Program Institut Teknologi PLNElectrical Engineering Study Program Institut Teknologi PLNElectrical Engineering Study Program Institut Teknologi PLNElectrical Engineering Study Program Institut Teknologi PLN,Information System Study Program, Institut Teknologi PLNKing Abdul Aziz UniversityTo manage waste efficiently and sustainably, Integrating Algoritma Bellman-Ford in IoT-Based Control Systems for Household Waste Management Machines, the use of automation technologies based on the Internet of Things (IoT) is becoming increasingly relevant. The integration of HMI allows operators to manage and control the machine with precision and convenience. The synergy between IoT and HMI promises significant improvements in waste processing speed, accuracy, and safety. Developing a control system using the HMI method is not just a solution but an innovative approach that aims to find an effective solution in managing or destroying waste that requires less labor, so there is no need to increase assistance. The method that will be used in this research is the descriptive statistical method, namely, assessing the technical data needed to develop a control system that complies with the standard. This innovative approach is one of the solutions to the problem of labor shortages in landfills that simplify work and speed up the process of operating machines.https://ojs.unud.ac.id/index.php/lontar/article/view/114103 |
| spellingShingle | Pawenary pawenary Hendri Hendri Dwi Listiawati Andi Dyah Harum Hardyanti Yessy Asri Anton Satria Prabuwono IoT-Based a Control System for Household Waste Management Machines at Waste Disposal Sites using Human Machine Interface Method Lontar Komputer |
| title | IoT-Based a Control System for Household Waste Management Machines at Waste Disposal Sites using Human Machine Interface Method |
| title_full | IoT-Based a Control System for Household Waste Management Machines at Waste Disposal Sites using Human Machine Interface Method |
| title_fullStr | IoT-Based a Control System for Household Waste Management Machines at Waste Disposal Sites using Human Machine Interface Method |
| title_full_unstemmed | IoT-Based a Control System for Household Waste Management Machines at Waste Disposal Sites using Human Machine Interface Method |
| title_short | IoT-Based a Control System for Household Waste Management Machines at Waste Disposal Sites using Human Machine Interface Method |
| title_sort | iot based a control system for household waste management machines at waste disposal sites using human machine interface method |
| url | https://ojs.unud.ac.id/index.php/lontar/article/view/114103 |
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