Garuda - Garba Rujukan Digital

Limited Time Video Sender Berbasis Algoritma Fixed-Duration Chunks Pada Sistem Deteksi Kerusakan Jalan Agustina, Dian Resha; Febrianti, Maria Shusanti; Sianturi, Ruth Febrian
ILKOMNIKA Vol 6 No 2 (2024): Volume 6, Nomor 2, Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v6i2.624

Infrastruktur jalan adalah hal yang penting dan memerlukan pemeliharaan terus-menerus. Identifikasi kerusakan jalan menjadi krusial untuk menghindari risiko dan meningkatkan kenyamanan. Perekaman video telah terbukti efektif dalam pemantauan. Tapi, pengelolaan data video dengan ukuran penyimpanan yang besar dan pengunggahan menjadi masalah dalam proses sistem saat ini. Solusi Limited Time Video Sender berbasis Algoritma Fixed-Duration Chunks pada Sistem Deteksi Kerusakan Jalan diajukan untuk mengatasi masalah ini. Algoritma Fixed-Duration Chunks memecah video menjadi segmen durasi tetap sebelum diunggah, meningkatkan efisiensi pengunggahan. Konsep ini mempertahankan keterkaitan segmen dan menghindari kehilangan informasi. Solusi ini efisien pada sisi server dan pengguna. Pengelolaan data lebih ringan dan pengguna dapat merekam tanpa khawatir tentang ukuran file besar. Secara keseluruhan, algoritma Fixed-Duration Chunks mengatasi kendala efisiensi dan pengelolaan data dalam pemantauan kerusakan jalan. Pengembangan lebih lanjut direkomendasikan dengan judul Limited Time Video Sender berbasis Algoritma Fixed-Duration Chunks pada Sistem Deteksi Kerusakan Jalan untuk mengatasi masalah pengunggahan manual dan mendorong partisipasi masyarakat dalam perbaikan kota.

Controlling System in Smart Agriculture for Automatic Monitoring of Plant Nutrition Agustina, Dian Resha; Febrianti, Maria Shusanti; Susanty, Wiwin; Hindayanti, Kadek Setiani
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.4001

Technological developments have had a major impact on the lifestyle of Indonesian people through sophisticated communication tools such as smartphones and gadgets. However, the use of this technology is still not optimal. In the Indonesian context, computer and information technology, especially Intelligent Systems, has changed the way people work, interact and live. One significant implementation of Smart Systems is Smart Agriculture, which uses information and communication technology to increase agricultural productivity. The application of Greenhouse technology and hydroponic methods in agriculture supports more efficient and productive plant growth. The use of TDS sensors to measure nutrient concentrations in water in the hydroponic method helps ensure optimal conditions. In this research, the automation of providing nutrition to lettuce plants has been carried out well according to predetermined conditions. The solution to solve the problem that occurs is to use an automatic nutrition system. This system can control the amount and frequency of nutrients provided accurately and efficiently, without depending on the skill and caution of the hydroponic farmer. In addition, this system also ensures that nutrients are provided consistently and safely for farmers and the environment. This technology utilizes sensors and automation systems to monitor nutritional conditions in the planting media in real-time and farmers can ensure that their plants receive the nutrients they need and have maximum yields. This system also helps farmers speed up the plant growth process and saves time and energy.

Design And Development Of A Backend System For Monitoring And Controlling Smart Agriculture Febrianti, Maria Shusanti; Marzuki, Marzuki; Agustina, Dian Resha; Prasetyo, Aldi
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5462

This study aims to build a system to manage temperature, pH, nutrient, and water availability sensor data for plants in smart agriculture. This is done so that the data sent by the sensor can be managed and stored properly. So that the data can be used for monitoring and controlling later. This study uses a waterfall model. Waterfall is often used to build a software system. The system that has been built needs to be tested. Based on the coding results, the system has two services. The first service handles user data, tools, plants, tool sets, and planting settings. The second service will hold the data that the tool sends to RabbitMQ. The results of the first service test run well, where every request sent by the client can be processed, and a response is returned as a request. In service, in two tests, some services ran fine. Where the data is successfully sent to the client side in real-time; however, when consuming and getting real-time data, it needs to be underlined; if getting real-time data is done when the JSON file is empty, it will return null. This may cause data delays to the client. The monitoring process will be a little late.

Design And Development Of A Backend System For Monitoring And Controlling Smart Agriculture Febrianti, Maria Shusanti; Marzuki, Marzuki; Agustina, Dian Resha; Prasetyo, Aldi
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5462

This study aims to build a system to manage temperature, pH, nutrient, and water availability sensor data for plants in smart agriculture. This is done so that the data sent by the sensor can be managed and stored properly. So that the data can be used for monitoring and controlling later. This study uses a waterfall model. Waterfall is often used to build a software system. The system that has been built needs to be tested. Based on the coding results, the system has two services. The first service handles user data, tools, plants, tool sets, and planting settings. The second service will hold the data that the tool sends to RabbitMQ. The results of the first service test run well, where every request sent by the client can be processed, and a response is returned as a request. In service, in two tests, some services ran fine. Where the data is successfully sent to the client side in real-time; however, when consuming and getting real-time data, it needs to be underlined; if getting real-time data is done when the JSON file is empty, it will return null. This may cause data delays to the client. The monitoring process will be a little late.

Controlling System in Smart Agriculture for Automatic Monitoring of Plant Nutrition Agustina, Dian Resha; Febrianti, Maria Shusanti; Susanty, Wiwin; Hindayanti, Kadek Setiani
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.4001

Technological developments have had a major impact on the lifestyle of Indonesian people through sophisticated communication tools such as smartphones and gadgets. However, the use of this technology is still not optimal. In the Indonesian context, computer and information technology, especially Intelligent Systems, has changed the way people work, interact and live. One significant implementation of Smart Systems is Smart Agriculture, which uses information and communication technology to increase agricultural productivity. The application of Greenhouse technology and hydroponic methods in agriculture supports more efficient and productive plant growth. The use of TDS sensors to measure nutrient concentrations in water in the hydroponic method helps ensure optimal conditions. In this research, the automation of providing nutrition to lettuce plants has been carried out well according to predetermined conditions. The solution to solve the problem that occurs is to use an automatic nutrition system. This system can control the amount and frequency of nutrients provided accurately and efficiently, without depending on the skill and caution of the hydroponic farmer. In addition, this system also ensures that nutrients are provided consistently and safely for farmers and the environment. This technology utilizes sensors and automation systems to monitor nutritional conditions in the planting media in real-time and farmers can ensure that their plants receive the nutrients they need and have maximum yields. This system also helps farmers speed up the plant growth process and saves time and energy.

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