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All Journal JUTI: Jurnal Ilmiah Teknologi Informasi
Ilham Gurat Adillion
Institut Teknologi Sepuluh Nopember
Computer Science & IT Dentistry Education Library & Information Science

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AN IOT-BASED AUTOMATED WATERING SYSTEM FOR PLANTS USING INTEGRATED FUZZY LOGIC AND TELEGRAM BOT Ary Shiddiqi; Muhammad Raihan Anindita; Wahyu Suadi; Rully Soelaiman; Suhadi Lili; Ilham Gurat Adillion
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 22, No. 2, July 2024
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v22i2.a1191

Abstract

The development of automatic plant watering systems has recently gained popularity due to the need to conserve water and ensure healthy plant growth. This study focuses on integrating fuzzy logic, sensors, and algorithms to provide an automatic watering system. Fuzzy logic is a powerful tool that allows the system to interpret sensor data and make informed decisions. The sensors measure soil moisture, humidity, temperature, and light intensity. The data collected from these sensors is analyzed using algorithms to determine the appropriate watering schedule. The system’s ability to analyze and interpret data ensures that the plants receive the necessary moisture without over-watering or under-watering. Integrating the Telegram Bot is a significant feature of the system, enabling users to monitor and control the system remotely. The Telegram Bot sends users notifications when the system is activated, or the plants require attention. The system can also be controlled remotely through the Bot, enabling users to adjust the watering schedule or turn the system on or off. This research shows that the designed features of the system function effectively and can be used on a daily household scale. The system’s automated features reduce the need for constant monitoring and manual watering, making it ideal for those who engage in gardening at home. This innovation is particularly relevant in increasing the productivity of plants. In addition, the system’s ability to be controlled remotely through the Telegram Bot is a significant advantage, making it accessible and convenient for users.
A Dual-Network iTransformer Model for Robust and Efficient Time Series Forecasting Ary Mazharuddin Shiddiqi; Bagaskoro Kuncoro Ardi; Bilqis Amaliah; I Komang Ari Mogi; Agung Mustika Rizki; Bintang Nuralamsyah; Ilham Gurat Adillion; Moch. Nafkhan Alzamzami
JUTI: Jurnal Ilmiah Teknologi Informasi Vol.23, No.2, July 2025
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v23i2.a1264

Abstract

Time-series forecasting plays a crucial role in various fields, including economics, healthcare, and meteorology, where accurate predictions are essential for informed decision-making. As data volume and complexity continue to grow, the need for efficient and reliable forecasting methods has become more critical. iTransformer, a recent innovation, improves interpretability while effectively handling multivariate data. In this study, the author proposes Dual-Net iTransformer, a novel approach that integrates iTransformer with a dual-network framework to enhance both accuracy and efficiency in time-series forecasting. This research aims to evaluate and compare the performance of traditional methods, iTransformer, and Dual-Net iTransformer, highlighting the advantages of the proposed model in improving forecasting outcomes.
Co-Authors Agung Mustika Rizki Ary Mazharuddin Shiddiqi Ary Shiddiqi Bagaskoro Kuncoro Ardi Bilqis Amaliah Bintang Nuralamsyah I Komang Ari Mogi Moch. Nafkhan Alzamzami Muhammad Raihan Anindita Rully Soelaiman Suhadi Lili Wahyu Suadi