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Journal : Internet of Things and Artificial Intelligence Journal

Design and Control of IoT Based Automatic Watering Devices for Vegetable Plants Iriyanti, Aldarisma; Agung, Muhammad; Wahid, Abdul
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 1 (2025): Volume 5 Issue 1, 2025 [February]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v5i1.890

Abstract

This research aims to design and develop an Internet of Things (IoT)--based automatic watering device for vegetable crops, especially water spinach and bok choy. The IoT technology used allows users to monitor and control the watering process remotely through an Android-based mobile application. The device is equipped with a soil moisture and temperature sensor (DHT22), which automatically controls the water pump and fan according to the needs of the plants. System testing was conducted to ensure the functionality of the sensors and that the automatic watering system operates effectively. The test results show that the device works efficiently in maintaining soil moisture and plant temperature, thereby improving the maintenance of vegetable crops. With this system, watering is done promptly and according to the needs of the plants, thereby reducing water and energy wastage. This research offers a practical solution for farmers or plant enthusiasts to monitor and care for plants automatically and efficiently.
The Decision Support System of Students Recruitment as Teacher Candidates using Multilevel Multi Attribute Utility Theory (MAUT) Wahid, Abdul; Muharram, Muharram; A. Rauf, Bakhrani; Agung, Muhammad; Yohandri, Yohandri; Baharuddin, Baharuddin; Sila, I Nyoman; Suyanta, Suyanta
Internet of Things and Artificial Intelligence Journal Vol. 2 No. 2 (2022): Volume 2, Issue 2, 2022 [May]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (914.252 KB) | DOI: 10.31763/iota.v2i2.513

Abstract

Recruitment is an important aspect of human resource management at a university, particularly at Makassar State University. Selection is a step in the recruitment process that determines whether prospective students who apply are a good fit for the program of study. The advancement of information systems facilitates the recruitment registration process. The decision support system is present to assist decision-makers in receiving appropriate recommendations for prospective teacher students who have been selected. This study employs the MAUT method's development, which is carried out in stages, hence the Multi-Level MAUT. Because assessment metrics are classified, we combine several MAUT methods to reach a final decision. The algorithm used produces good results, namely the ability to rank correctly based on stakeholder preferences.