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All Journal Jurnal Teknik Elektro Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Minfo Polgan (JMP) CANANG: Jurnal Pengabdian Masyarakat Jurnal Teknoif Teknik Informatika Institut Teknologi Padang
Eko Kurniawanto Putra
Institut Teknologi Padang
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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ANALISA LAHAN DAN REKOMENDASI JENIS TANAMAN PADA PERTANIAN CERDAS BERBASIS IOT Busran Busran; Anna Syahrani; Eko Kurniawanto Putra; Eva Yulianti; Muhammad Vajri Djauhari
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 12 No 2 (2024): TEKNOIF OKTOBER 2024
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2024.V12.2.92-99

Abstract

Technology-based agriculture is a modern approach that utilises the Internet of Things (IoT) to efficiently support the production process. In Kampung Durian Tarung, Pasar Ambacang, Kuranji, Padang, West Sumatra, a group of horticultural farmers face challenges in determining the type of plants that are suitable for the soil quality of their land. This research develops an IoT-based system for land analysis that can recommend optimal crop types according to soil conditions. IoT technology is implemented to collect soil data, such as pH, moisture, and soil temperature, through wireless sensors. The data is analysed using a fuzzy method, which enables decision-making based on a number of soil quality parameters to provide more precise and real-time recommendations. The trial results show that the system is able to accurately measure soil conditions and provide appropriate crop recommendations based on the soil quality data obtained.  The use of fuzzy methods proved effective in filtering data from sensors and adjusting crop recommendations based on threshold values on pH, humidity, and soil temperature. This research contributes to the field of smart agriculture by presenting an IoT-based solution specific to the needs of local horticulture farmers. Combining wireless sensor technology and fuzzy methods enables analyses that are more adaptive and relevant to the soil conditions on the farm. The success of this research provides direction for the development of similar systems that can be applied in other regions, and underlines the role of IoT technology in supporting agricultural sustainability through optimal utilisation of data.
Co-Authors Aidilla Fitri Mentari Akmal Akmal Busran Busran Dara berlian sukma Della Patricia Firmansyah David Fitry Rahmayeni Ganda Yoga Swara Harison H Herix Sonata Minarni Minarni Muhammad Isa Daud Muhammad Vajri Djauhari Putri Mandarani Qoryatul Dea Prilia Primayani Yulianti, Eva Zaini, Zaini