This paper discusses a method to determine the operation route for unmanned aerial vehicles for maritime surveillance. It is well known that there are several methods to make an aircraft path planning for ground related missions. On the other hand, path planning for maritime purposes is unnoticeable. The major problem of path planning for maritime is the abundant number of nodes which can make the route becomes quite long. Hence, reducing the number of nodes is necessary to rectify this problem. The main method is to separate the surveillance area into a smaller area of operation using clustering methods and then analyze the vulnerable area using the database to create an optimum flight path in each operation area. Although this paper specifically addresses a maritime-related mission, the path planning procedures can be applied to other missions as well. In this research, the input is given from satellite recorded data. Natuna Sea is chosen as the main discussion as the Natuna Sea currently is one of the most vulnerable regions in Indonesia for illegal fishing activity. The result shows that the aircraft path able to cover most of the vulnerable areas while optimizing the route distance.

No abstract

No abstract

Abstrak—LAPAN Surveillance Aircraft adalah salah satu elemen dari Maritime Surveillance System yang merupakan salah satu dari Program Utama LAPAN sejak tahun 2012 hingga sekarang. Pesawat ini memiliki konfigurasi high wing dengan dua tempat duduk, serta berstruktur komposit dan bermesin tunggal yang dipasang di tengah badan pesawat. Awalnya, program ini merupakan program Pustekbang dengan misi untuk menguasai teknologi pesawat terbang bertipe pesawat terbang ringan. Seiring dengan pengembangan program dan kebutuhan nasional akan sistem pemantauan yang efektif dan efisien, maka pengembangannya diarahkan pada perluasan jangkauan operasi. Makalah ini memberikan desain konfigurasi dan arsitektur sistem kendali terbang untuk LSA. Sistem kendali dirancang pada 3 kondisi trim point dengan memvariasikan kecepatan pesawat. Frekuensi dan rasio redaman pada tiap trim point diset pada angka tertentu untuk menghasilkan gain kendali dengan teknik pole placement. Hasil simulasi menunjukkan bahwa sistem kendali yang dirancang memenuhi tujuan dan persyaratan desain serta memiliki kinerja yang cukup baik. Kata Kunci : Kendali, Longitudinal, Linear, Pole Placement, Root Locus

Chemical residues from the use of pesticides in agriculture can impact human health through environmental and food pollution. To lessen the negative effects of excessive pesticide use, pesticides must be applied to plants by dose. The dose of pesticide application can be based on a plant health level, which is the result of drone Normalized Difference Vegetation Index (NDVI) image analysis. Drones can also be used for spraying pesticides. Analysis of plant health levels was carried out using the Random Forest (RF) algorithm. The results of the classification plant health levels will be used to design spray drone flight routes. The objective of this research is to classify plant health levels of rice based on NDVI imagery using the RF algorithm and to compile a database of spray drone target points. The results of this study indicate that the classification of plant health levels using the RF algorithm produces an accuracy value of 98% and a Kappa value of 0.96. As a result, the model developed and the algorithm employed is quite effective at classifying the level of plant health. Furthermore, spray drone target points based on plant health levels can be generated. Optimally the spray distance between rows is 2 m.