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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro Jurnal Teliska Jurnal technoscientia ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika PROtek : Jurnal Ilmiah Teknik Elektro ITEj (Information Technology Engineering Journals) Sistemasi: Jurnal Sistem Informasi Indonesian Journal of Artificial Intelligence and Data Mining Jurnal RESISTOR (Rekayasa Sistem Komputer) Patria Artha Technological Journal Building of Informatics, Technology and Science Jurnal Teknik Industri Terintegrasi (JUTIN) JURNAL TEKNOLOGI TECHNOSCIENTIA Jurnal Teknik Informatika (JUTIF) Aptekmas : Jurnal Pengabdian Kepada Masyarakat INOVTEK Polbeng - Seri Informatika
Fadhli, Mohammad
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Journal : Jurnal Teliska

 1 
RANCANG BANGUN SISTEM BUDIDAYA TAOGE CERDAS BERBASIS LORA DAN IOT Fadhli, Mohammad; Cahya Iman, Tri Rizki; Rose, Martinus Mujur
JURNAL TELISKA Vol 17 No II: Teliska Juli 2024
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.12943391

Abstract

Cultivating bean sprouts requires regular care for the beans. The required care includes regular watering and maintaining temperature conditions between 23°C to 28°C with a humidity level of 85% to 90%. In this research, an intelligent sprout cultivation system based on LoRa and IoT has been proposed. This system uses a DHT22 sensor to read the temperature and humidity of the air around the bean sprouts. It sends the data to the gateway using LoRa. The gateway forwards the temperature and humidity data to the Thingspeak server using the MQTT protocol. LoRa allows temperature and humidity monitoring to be carried out via the LoRa local network without an internet connection. The proposed system can also water the bean sprouts automatically if the humidity is < 80% or the last watering time has been ≥ 3 hours. Based on the tests carried out, it can be concluded that the proposed system can work well. During the tests, the DHT22 sensor could respond to changes in temperature and humidity. Sending sensor data to the Thingspeak server could work well. Meanwhile, sensor nodes and gateways could communicate up to a distance of 600 meters using LoRa.
PENERAPAN TEKNOLOGI KOMUNIKASI MULTIHOP UNTUK MONITORING KONDISI LAMPU PENERANGAN JALAN UMUM BERBASIS LORA: Teknik Telekomunikasi Ade Rosta Paramitha, Nadila; Fadhli, Mohammad; Mujur Rose, Martinus
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.8183298

Abstract

Street lighting is one of the public facilities that plays a vital role in providing safety and comfort for road users. Therefore, any problems that occur with street lighting must be handled quickly and precisely. To achieve this goal, this study proposes a system for monitoring the condition of street lighting using LoRa-based multihop communication technology. In this study, each street light unit is equipped with an ACS172 current sensor and a BH1750 light sensor to determine the damage that occurs to the street lights automatically. Data from these two sensors is sent using LoRa Ra-02 to the relay and then forwarded to the gateway. The gateway forwards the data to the Firebase server so that the results of monitoring public street lighting can be observed via the internet network. Based on the results of system testing, the street light units (sensor nodes) can communicate with relays up to a distance of 200 m and with gateways up to a distance of 400 m. The gateway can also properly send sensor data to the Firebase server, so monitoring results can be viewed online via a smartphone.
Co-Authors Ade Rosta Paramitha, Nadila Affrylia, Gita Aliffiyah, Muhammad Bayu Arsella, Shendy Cahya Iman, Tri Rizki Ciksadan, Ciksadan Deta Mediana, Salwa Irma Salamah LINDAWATI Lindawati Lindawati Maharani, Fistania Ade Putri Martinus Mujur Rose Mediana, Salwa Deta Merinda, Siska Mujur Rose, Martinus Raihan, Ahmad Respati, Rayhan Dhafir Saifuddin Z.S, Joumil Aidil Saifuddin, Joumil Aidil Salsabila, Meidita Savitri, Yulivia Rhadita Septiani, Dinda Sopian Soim, Sopian Suni, Gina Amanah Suroso SURYANI, TRIA ANANDA Tarnita Rizky Prihandhita Ulima Achva, RA. Jihan Utomo, Tri Binarko Winursito, Yekti Condro Wulandari, Fadhilah Dwi