Remote sensing technology uses various vehicles including satellites, helicopters, aircraft, and Unmanned Aerial Vehicles (UAV) and Drones. Remote sensing technology is often used in agriculture, especially for monitoring rice fields, helping the age of rice and so on. In the current technological era, drone devices are vehicles that are often used to monitor rice fields which are considered effective, considering that the data obtained is the latest data during flights, this is also balanced with current developments in various fields, especially for capturing air, drones be an alternative choice than other alternatives that are considered conventional. Rice is an important cultivated crop because it is a staple food for 90% of Indonesia's population, and also for the people of Papua in Merauke, which is a national food storage area. However, the obstacle that is often experienced is interference from rice diseases. Therefore a fast and accurate analysis of the health of rice plants is needed using the NDVI or Normalized Difference Vegetation Index which is a method for comparing the level of greenness of vegetation originating from drone imagery, with the value of the NDVI we can know the classification of the health of rice plants. In this study the classification of rice plant health was divided into 4 classes. Very good health is in the NDVI value range 0.721-0.92, for good health the NDVI value range is between 0.421-0.72, and normal health NDVI values are in the range 0.221-0.42, while in poor health the NDVI value is 0.11-0.22. With the utilization of drone device technology, it is possible to analyze rice plants per hectare with a normal health classification with an area of 14,877,315 Ha. Whereas in the good health classification the area is 9,846,833 Ha and in the very good health classification the area is 8,922,892
Indonesia terus menunjukan kemajuan pada sektor pertanian, yang tidak dirasakan oleh seluruh rakyat Indonesia, hal itu menjadi ironi mengingat disebuah Negeri agraris yang kaya akan pertanian dan sempat menjadi satu pusat perdagangan dunia. Kemajuan teknologi yang semakin meningkat, dan melihat berbagai faktor kebutuhan masyarakat akan estimasi yang akurat, metode interpretasi dengan citra menggunakan drone dirasa dapat menjawab kebutuhan masyarakat terutama petani serta pemerintah setempat untuk menentukan estimasi hasil pertanian yang lebih cepat dan akurat dengan tidak terlepas dari parameter pendukung seperti tanaman yang ditanam dan spesifikasi bibit memuat informasi mengenai satuan berat hasil rata-rata produksi yaitu dalam ton/ha. Dengan pemanfaatan teknologi perangkat drone dapat dilakukan Intrepretasi pertumbuhan produksi tanaman padi per-satuan luas dalam satu periode tanam, mengingat Interpretasi pertumbuhan tanaman padi dengan citra berpatokan pada sembilan unsur yakni Rona dan Warna Rona, Tekstur, Bentuk, Ukuran, Pola, Situs, Bayangan, Asosiasi, serta Konvergensi Bukti
The purpose of writing this journal is to create a model and simulation of the distribution of LPG (Liquefied Petroleum Gas) Gas Stock Availability that can meet the needs of Pertamina, agents and bases and existing community elements. The design of this application uses the PHP programming language (Personal Home Page) with a database using My SQL [1]. The method used in the design is Monte Carlo [2], and the test method used is the Black box and Questionnaire methods. Monitoring System for Gas Stock Availability Distribution This Liquefied Petroleum Gas (LPG) tube in Makassar presented report printing criteria. In the form of distribution monitoring report, in the form of proof of purchase transactions of LPG (Liquefied Petroleum Gas) Gas to Pertamina agents and bases in real-time per day, month and year Monitoring System Availability Stock Distribution This LPG (Liquefied Petroleum Gas) Gas Tube in Makassar will also be able to control the LPG (Liquefied Petroleum Gas) stock in each existing agent and base in the form of several a stroke on the monitoring map [3].
Displacement of kerosene to Liquefied Petroleum Gas (LPG), giving a positive impact as one of the staples in several respects. Viewed from the increasing demand for gas fuel (Liquefied Petroleum Gas), government through Pertamina launched a system to monitor the process of distribution of liquefied petroleum gas which of course is expected to meet the needs of the various elements of society, as well as monitor every distribution process. The truth is, LPG distribution monitoring system is considered still cannot cover up the station, retailer especially the lack of service to the community, which is a monitoring map that displays the number of the stock of LPG. The objective of this journal is to create a web service technology using LPG availability coding in the distribution area to reach the community so it can provide services to all elements of society. The design of these applications used the Personal Home Page (PHP) programming language and database using My SQL. The method used in the design is the structured design method, and the testing method used is the Black-box method and questionnaire. Distribution monitoring system utilizes web service technology, which can accessed at all elements of society and availability information of LPG stock at each agent, station, and retailers which can be accessed by all elements of society in the form of a code of the location, address and the amount of availability.
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