Wireless Sensor Network Server for Smart Agriculture Optimatization

Ardiansyah, Deden; Huda, Akbar Sugih Miftahul; Darusman, Dudung; Pratama, Ramandha Gilang; Putra, Andika Pratama

doi:10.1088/1757-899x/621/1/012001

Cited by 6 publications

(6 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In 2019-2020, fintech (Priskarini et al, 2019), the internet of things (Masaong & Mas, 2019), and digital technology emerged (Berawi et al, 2019;Waskito et al, 2019). Smart agriculture (Ardiansyah et al, 2019;Omar et al, 2020;Wahyudi, 2021;Wijaya et al, 2021;Wulandari et al, 2020), digital health (Hanif et al, 2021;Sumaedi et al, 2021), and covid-19 (Chung et al, 2021;Tulungen et al, 2021) will be here in 2021-2022. The future research agenda can be seen from the results of the VOSViewers density visualization analysis (Fig.…”

Section: Resultsmentioning

confidence: 99%

Digital Economy in Indonesia: Trends and Future Research

Putera

Ningrum

Suryato

et al. 2023

JOSTIP

View full text Add to dashboard Cite

Digital economy serves as one of the agenda of Association of Southeast Asian Nations (ASEAN) in undertaking the Fourth Industrial Revolution. Additionally, the Indonesian government is committed to conducting research and innovation related to digital economy. Therefore, this study aims to reveal trends and future research under the topic of digital economy in Indonesia. This study utilizes big data methods, conducted through Scopus database, while the analysis is conducted through bibliometrics and visualization VOSViewer. The results of this study indicate that financial technology becomes the most published topic by authors with affiliation from Indonesia, although the topic has been widely discussed in international journals. Meanwhile, future research topics include research on digital payments, technology acceptance for the Micro, small, and medium enterprises (MSMEs), digital transformation for e-learning, and e-government.

show abstract

Section: Resultsmentioning

confidence: 99%

Digital Economy in Indonesia: Trends and Future Research

Putera

Ningrum

Suryato

et al. 2023

JOSTIP

View full text Add to dashboard Cite

show abstract

“…Assume that the 𝑄 𝑗 is the overall mean consumption of energy for the given rendezvous node 𝑗. Then the overall mean consumption of energy 𝑄 𝑗 cab be defined using the as shown in (5):…”

Section: System Channel Transmission Optimization Methodsmentioning

confidence: 99%

“…Wireless sensor networks (WSNs) are an emerging technology that allows the collection and transmission of data from a large number of remote sensors to a central location for analysis [1]. These networks are made up of small [2], low-cost devices [3] called wireless sensors that can be deployed in various environments [4], such as agriculture fields [5], to collect data on various parameters such as temperature [6], humidity [7], soil moisture [8], and light intensity [9]. In the agriculture field, WSNs have the potential to revolutionize the way farms operate by providing real-time data on crop growth and environmental conditions [10].…”

Section: Introductionmentioning

confidence: 99%

Maximizing wireless sensor network lifetime through energy-efficient routing

Vishweshwaraiah,

Siddegowda,

Rudraswamy

2023

IJEECS

View full text Add to dashboard Cite

Wireless sensor networks (WSNs) are an emerging technology that has the potential to transform the way agricultural farms operate. However, deploying WSNs in agricultural farms presents a unique set of challenges. Limited coverage area, power source availability, data collection and processing, environmental factors, cost, and integration with existing systems are some of the potential problems that need to be addressed when deploying WSNs in agricultural farms. Hence, in this work, we have proposed a method for increasing the lifetime of the sensor network which will help also help to reduce the energy. The proposed method has been evaluated in terms of network lifetime of the sensor nodes, routing and communication overhead. The results have been compared with the existing M-LEACH method and the results show that there is an enhancement of 79.02% for average network lifetime. The results also show that the proposed method reduces the average routing and communication overhead by 49.17% and 38.37% respectively.

show abstract

“…Smart farming atau pertanian cerdas merupakan sebuah sistem pertanian yang didukung dengan teknologi guna untuk menunjang produktivitas hasil pertanian yang lebih maksimal. Smart farming juga merupakan sebuah sistem yang memiliki alur monitoring yang dapat dilakukan secara jarak jauh selama memiliki koneksi internet sampai pengendalian yang berjalan secara otomatis [9]. Smart farming telah dikembangkan menggunakan IOT dan perangkat sensor untuk mengukur unsur hara dan kelembaban tanah, menyalakan dan mematikan alat siram tanaman, monitoring kondisi cuaca dan air, serta sampai mengukur volume hasil panen ketika penuaian.…”

Section: Smart Farmingunclassified

“…Pada Tabel 4., Tabel 5., dan Tabel 6. dapat diketahui bahwa sensor soil moisture memiliki nilai kelembaban paling tinggi pada pengukuran tanaman terung yaitu sebesar 543,2. Sedangkan pada pot lain yaitu 538,1 hasil tanaman cabai dan 429, 9 Dari pengukuran yang dilakukan menggunakan sensor DHT22, nilai kelembaban udara dan suhu pada semua pot menghasilkan kondisi baik dan nilai rata-rata error suhu dengan pengukuran validasi termometer digital menghasilkan nilai 0,02% yang berarti keakuratan sensor DHT22 pada pengukuran suhu mencapai 99,99%.…”

Section: Uji Coba Validasiunclassified

Perbandingan Pemrosesan Kinerja Server Raspberry Dan Pc Untuk Optimalisasi Smart Farming Berbasis Iot

Pratama

2024

JITET

View full text Add to dashboard Cite

Tanah sebagai faktor utama dalam hortikultura harus diperhatikan dengan sebaik-baiknya agar dapat memberikan hasil sesuai dengan yang diharapkan. Salah satunya dengan cara memanfaatkan IOT untuk monitoring pada area pertanian. Namun, saat ini masih belum terdapatnya sebuah server khusus untuk dapat menerima dan menampilkan hasil data yang diperoleh serta untuk komunikasi dari beberapa sensor menggunakan modul loRa dalam sistem monitoring dari jarak jauh dengan IOT. Disamping itu, saat ini masih sedikit penelitian yang membandingkan pemrosesan kinerja server raspberry pi dan PC dalam proses implementasi teknologi IOT bidang pertanian. Penelitian ini dilakukan dengan tujuan untuk mengetahui perbandingan pemrosesan kinerja server raspberry pi dan PC yang berguna untuk optimalisasi smart farming berbasis IOT. Metode penelitian yang digunakan pada penelitian ini terdiri dari sepuluh tahapan yaitu: project planning, research, electrical design, parts testing, software design, functional test, mechanical design, integration, overall testing, dan application. Hasil penelitian ini tidak terlihat perbedaan yang signifikan dari hasil waktu rata-rata pemrosesan data dan pengiriman data dengan raspberry pi dan PC. raspberry pi memiliki kecepatan lebih unggul dibandingkan PC dalam pengujian pengiriman data dan PC lebih unggul dalam pemrosesan data. Namun, dari segi bentuk raspberry pi memiliki bentuk yang lebih sederhana, dan segi harga raspberry pi lebih ekonomis dibandingkan dengan PC.

show abstract

Wireless Sensor Network Server for Smart Agriculture Optimatization

Cited by 6 publications

References 1 publication

Digital Economy in Indonesia: Trends and Future Research

Digital Economy in Indonesia: Trends and Future Research

Maximizing wireless sensor network lifetime through energy-efficient routing

Perbandingan Pemrosesan Kinerja Server Raspberry Dan Pc Untuk Optimalisasi Smart Farming Berbasis Iot

Contact Info

Product

Resources

About