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Yuliansyah Siregar, Andree Rizky
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Computer Science & IT Decision Sciences, Operations Research & Management

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The Design of an Automatic Soil Monitoring and Watering System for Ornamental Plants Using Microcontrollers Based on the Internet of Things (IoT) Pratama, Wiko; Yuliansyah Siregar, Andree Rizky; Wahyudi, Muhammad
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i02.133

Abstract

IoT-Based Ornamental Plant Watering System with YL-69 Sensor uses the Blynk platform as a user interface that allows users to monitor and control plant watering remotely. The YL-69 sensor is used to detect soil moisture levels, and the data obtained is sent to the cloud via IoT technology. Through the Blynk application, users can set watering schedules, monitor soil moisture in real-time, and receive notifications if humidity reaches a certain threshold. This system provides convenience, efficiency and seamless interaction between the user and the plants being cared for, improving water management and overall plant health.
The Application of Analytic Hierarchy Process and Topsis Methods in Selecting Outstanding Students Based on Android (Case Study: SMAN 1 Siantar Narumonda) Yuliansyah Siregar, Andree Rizky; Pratama, Wiko; Wahyudi, Muhammad
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i02.139

Abstract

SMAN 1 Siantar Narumonda is a high school located on Jalan SMA Negeri Narumonda, Narumonda I, Kec. Siantar Narumonda, Toba Regency. Currently, the principal and teachers of SMAN 1 Siantar Narumonda still use manual methods in determining outstanding students using spread sheets in the Microsoft Excel program which seems very ineffective and inefficient because spread sheets can no longer meet the requirements for timeliness, speed and accuracy in data management. the number is large, so it takes quite a long time to process it because you have to look at a lot of tables in Excel. In solving the problem above, it is necessary to solve the problem by creating a decision support system using the AHP and TOPSIS methods. This research combines AHP and TOPSIS with the aim of obtaining accurate results in providing recommendations for decision makers in accordance with the objectives and implementation model carried out. Based on the results of the tests carried out, it was found that AHP and TOPSIS provide objective and reliable results in determining outstanding students. This application can speed up the selection process and reduce the potential for human error.
Co-Authors Muhammad Wahyudi Pratama, Wiko