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All Journal Teknika Jurnal Teliska Jurnal Ampere Indonesian Journal of Artificial Intelligence and Data Mining
Alfarizal, Niksen
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Journal : Jurnal Teliska

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SISTEM KONTROL FUZZY LOGIC ALAT PENYIRAMAN OTOMATIS PADA TANAMAN TOMAT DAN KAKTUS: Teknik Elektro Saputra, Adi; Hasan, Yordan; Alfarizal, Niksen
JURNAL TELISKA Vol 16 No II Juli (2023): TELISKA Juli 2023
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.8183234

Abstract

Plants need proper care, including adequate watering, in order to grow properly and provide optimal results. In an effort to increase the efficiency of watering plants, this study proposes the use of a fuzzy logic control system to control automatic watering devices for tomato and cactus plants. The method used in this study involved collecting relevant environmental data, such as soil moisture, temperature, and light intensity. This data is then processed using the fuzzy logic method to obtain the optimal soil moisture level for each type of plant. The proposed fuzzy logic control system uses several linguistic variables, including "dry, moist and wet", to describe soil moisture levels. Fuzzy logic rules that have been determined based on expert knowledge are applied in the control system to produce optimal watering decisions. The results showed that this fuzzy logic control system is capable of controlling automatic watering devices with high accuracy. Tomato and cactus plants grown in the experimental environment experienced an increase in plant growth and health after the application of this control system. Soil moisture is maintained within an optimal range, thereby increasing the efficiency of water use and avoiding the risk of excess or shortage of water. Keywords: Watering Plants, Fuzzy Logic, Tomatoes and Cactus
MONITORING ARUS DAN TEGANGAN PEMBANGKIT LISTRIK TENAGA SURYA BERBASIS INTERNET OF THING DI ASONE HIDROPONIK Zidane, Imam Rafi; Abdurrahman; Alfarizal, Niksen
JURNAL TELISKA Vol 18 No I (2025): TELISKA Maret 2025
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15052163

Abstract

Hydroponics is a farm method that does not use soil as the growning medium. But instead utilizes water mixed with nutrients required by the plants. This method is considered more efficient in limited city land and allows for full control over nutrient provided to the plants. The utilization of Solar Power Plant is the best solution to solve the problem of PLN power outage, particulary in supporting irrigation and nutrient supply for hydroponic plant cultivation. This research is focus on developing a monitoring system for the current and voltage generated by the Solar Power Plant to ensure a stable and efficient power supply. The system is designed based on the Internet of Thing (IoT) enabling Asone Hydroponic cultivators to perform real time monitoring via Blynk app on both Android and PC. The objective of this research is to design and create a Solar Power Plant monitoring system that can measure and monitor voltage and current variables and to implement it in the context of hydroponics plant cultivation. Using the ESP32 as a microcontroller, this research also use the PZEM-017 sensor to measure DC voltage and current, and the PZEM-004t sensor to measure AC voltage and current. It is hoped that this research will provide tangible benefits in improving the efficiency and sustainabillity of hydroponic plant cultivation in Indonesia, as well as offer a reliable renewable energy solutions.
SISTEM OPTIMALISASI ENERGI LISTRIK DENGAN INTERNET OF THINGS ASSISTED ARTIFICIAL INTELLEGANCE Pratama, M Ghalu; Alfarizal, Niksen
JURNAL TELISKA Vol 18 No II (2025): TELISKA Juli 2025
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15856269

Abstract

In the current digital era, the increasing awareness of energy efficiency, coupled with high operational costs and environmental impacts, has become a primary concern. Internet of Things (IoT) and Artificial Intelligence (AI) technologies offer solutions to optimize electricity consumption through real-time data collection and advanced analytics. This study aims to explore the integration of IoT and AI in smart energy management systems to reduce costs and environmental impact. By employing machine learning algorithms, the research will predict electricity consumption and provide energy efficiency recommendations. It is anticipated that this system will enhance energy efficiency, lower operational costs, and contribute to environmental sustainability. This study is expected to make a significant contribution to the development of innovative solutions for electricity optimization based on IoT and AI.
Co-Authors A. Rahman A. Rahman, A. Rahman Abdurahman Abdurrahman Ade Silvia Handayani Adi Saputra Amperawan Amperawan, Amperawan Atika, Ratna Dzaky Nurrasyiid, Muhammad Irdayanti, Yeni Karlina Dwita, Anisa Meranda, Arganda Muhammad Abdillah Nuranisah, Mourinda Nyayu Latifah Husni, Nyayu Latifah Pratama, Destra Andika Pratama, M Ghalu Pratama, Muhammad Regi Rasyad , Sabilal Rasyad, Sabilal Renny Maulidda, Renny Uswa, Khoirotun Yordan Hasan, Yordan Yudi Wijanarko, Yudi Zidane, Imam Rafi