This study aims to carry out the monitoring process of wireless local area network (WLAN) microtics using the Dude application at Musamus University. It is expected that the monitoring results can be in the form of messages / notifications to network administrators. Network monitoring will be increasingly difficult if the computer network topology in an institution is very broad and complex. The network devices used in this study are the Mikotik operating system with the Dude tools with the specifications of Mikrotik RB433, The Dude server and The Dude Client. Based on the results of the implementation and testing carried out on the WLAN network of Musamus University, it was found that the use of The Dude Application can make it easier for network admins to know the position of the proxy router that has trouble, up and down on the proxy router. Another advantage is that the admin simply monitors the network on the server because if there is trouble or the system down the admin gets a notification in the form of an email from the Dude.
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
Farming is one of the pioneers of national development that plays an important role, especially Merauke Regency, which is planned to be the area for national food self-reliance in agribusiness (Indonesian). Government is currently very difficult. Will see the latest developments in the growth of food crops in the region, starting at the village level / kelurahan to the national level. These kindergartens growth in the crop until harvest time, and several obstacles to failure of crops from pests and environmental conditions such as flooding. Production estimates are easy if this information is available. The research aims to be able to show the status of the land in the form of different colors by the histogram method, plant information and the type of pest disease, while the retrieval of data is carried out using the photographic images. The long-term proficiency based on the coordinates through the GPS found on the Dji-Phantom Phantom device can also be used to calculate the area of land as the main parameters and requirements of the seed, the condition of the land and restrictions b. The failure of crop cultivation as a supporting parameter to determine the assessment of plant production by means of liver methods.
Potensi perkebunan karet dikabupaten Merauke di dukung oleh keadaan alam serta iklim yang baik untuk pengembangan perkebunan karet. Kurangnya informasi pengembangan perkebunan karet di Kabupaten Merauke yang diharapkan melibatkan investor, sampai saat ini masih menjadi tantangan untuk mancari solusi pemecahannya, berdasarkan masalah tersebut maka diperlukan Sistem informasi berbasis web dapat mambantu publikasi serta promosi potensi produksi dan pengembangan perkebunan karet di Kabupaten Merauke. Pembuatan aplikasi SIG (Sistem Informasi Geografis) menggunakan Google Map serta MySQL (MyStructure Query Language), Metode penelitian yang digunakan adalah Pengumpulan data lokasi, luas lahan, produksi dan lokasi pengembangan lahan perkebunan karet, Perancangan, Analisa data dan Pengujian dilakukan dengan Metode Black Box dengan menggunakan kuisioner. Informasi yang diberikan berupa informasi lokasi, luas lahan, produksi dan lokasi pengembangan lahan perkebunan karet di Kabupaten Merauke. Aplikasi Sistem Informasi Geografis Lahan Perkebunan Karet Di Kabupaten Merauke Berbasis Web. Aplikasi ini dapat mambantu publikasi serta promosi potensi produksi dan pengembangan perkebunan karet di Kabupaten Merauke. Perancangan Sistem Informasi Geografis dengan Google Map memberikan tampilan informasi berupa data lokasi, luas lahan, produksi dan lokasi pengembangan lahan perkebunan karet yang mudah di akses. Kata kunci : Sistem Informasi Geografis, Karet, Lahan, Web.
Sistem kendali dibutuhkan quadrotor agar dapat melayang mendekati keadaan stasioner. Salah satu sistem kendali yang dapat dirancang dan diimplementasikan pada quadrotor adalah kendali PID. Metode tradisional yang popular untuk kendali PID adalah menggunakan Ziegler Nichol. Kelemahan metode tersebut sering menghasilkan gelombang overshoot tinggi. Di sisi lain, beberapa pendekatan intelligence juga diusulkan untuk meningkatkan hasil tuning tradisional PID seperti menggunakan optimalisasi heuristic.Optimalisasi heuristic merupakan sebuah teknik pencarian solusi terbaik dalam dunia komputasi dengan ketetapan yaitu tidak memiliki batasan dalam mencapai nilai optimal suatu parameter tertentu. Salah satu metode yang termasuk dalam optimalisasi heuristic adalah Algoritma Genetika. Tunning PID menggunakan simulasi berbasis Algoritma Genetika dapat memepercepat proses pencarian konstanta PID yang optimal. Parameter-parameter yang digunakan pada simulasi ini yaitu massa, panjang lengan, radius, torsi motor, dan kecepatan motor. Beberapa asumsi yang diterapkan dalam melakukan simulasi dari quadrotor ini yaitu, struktur dari quadrotor dianggap kaku, struktur dari quadrotor dianggap simetris, titik berat beban quadrotor diasumsikan berada tepat di tengah (pusat massa) quadrotor, dan efek getaran masing-masing propeller dianggap tidak terjadi.Hasil perhitungan simulasi sistem menggunakan Algoritma Genetika didapatkan konstanta PID yang optimal yaitu Kp bernilai 0.0996, Ki bernilai 0.001 dan Kd bernilai 0.0289. memiliki nilai maksimum peak yaitu 3,57 derajat. Artinya quadrotor akan stabil melayang dengan tetap dapat menjaga sudut kemiringan tidak lebih dari 3,88 derajat. Nilai settling time yang didapat pada kondisi tersebut adalah 1,54 detik. Artinya tingkat kemiringan sudut akan mengalami penurunan hingga menuju keadaan stationer dengan waktu tempuh sekitar 1,54 detik. Jumlah generasi untuk mencapai kondisi tersebut adalah sekitar 26 generasi. Waktu eksekusi simulasi untuk kondisi tersebut adalah 494 detik.
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