Agus Basukesti
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PERANCANGAN SISTEM TELE-NAVIGATION PADA PESAWAT TANPA AWAK (MICRO UAV) Agus Basukesti
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 7, No 1 (2016): JURNAL SIMETRIS VOLUME 7 NO 1 TAHUN 2016
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (694.254 KB) | DOI: 10.24176/simet.v7i1.493

Abstract

Sistem navigasi pada pengoperasian pesawat tanpa awak (Micro UAV) saat ini terdapat 2 cara yaitu dengan cara pandangan manual (line of sight) dan sistem autopilot. Sistem navigasi line of sight memiliki kelemahan jangkauan pesawat tanpa awak hanya pada radius 200 meter karena keterbatasan penglihatan dari pengendali. Metode autopilot adalah metode kendali pesawat dengan algoritma lock position and homing. Sistem autopilot bekerja dengan cara mencari koordinat posisi yang dituju kemudian kembali ke lokasi awal. Keunggulan teknologi ini adalah pesawat dapat menjangkau jarak yang cukup jauh. Akan tetapi metode ini memiliki kelemahan yaitu pesawat harus terbang tinggi dan pesawat belum bisa menghindari halangan seperti gedung pencakar langit maupun pepohonan tinggi. Dalam penelitian ini dirancang sebuah sistem tele-navigasi yang merupakan modifikasi sistem navigasi line of sight dan autopilot sehingga dapat menutupi kelemahan dari masing masing metode navigasi yang ada saat ini. metode penelitian yang digunakan dalam penelitian ini adalah metode eksperimen yaitu dengan membuat pilot plan sistem Tele-navigasi yang selanjutnya akan diuji dengan pesawat tanpa awak (micro UAV) jenis flying wing. Metode dokumentasi dan metode studi pustaka juga digunakan untuk melengkapi data teknis alat yang digunakan sehingga dapat dilakukan analisis mendalam terhadap performa alat yang dirancang. Kata kunci: line of sight, lock position and homing, autopilot, micro UAV.
Analisis Ketepatan Penghitung Frekuensi dengan Metode Pencacahan Berbasis Mikrokontroler Freddy Kurniawan; Agus Basukesti
Semesta Teknika Vol 11, No 2 (2008): NOVEMBER 2008
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/st.v11i2.761

Abstract

A frequency counter is an electronic instrument, or component of one, that is used for measuring frequency. Frequency counters usually measure the number of oscillations or pulse per second in a repetitive electronic signal. A digital-signal frequency counter, can measure the number of positive-going-transition or the number of negative-going-transition of signal in a set of period time. This microcontroller-based frequency counter work by using a counter, which accumulates the number of negative-going-transitions occurring within two periods for 16-bit microcontroller-timer overflow. After the period, the value in the counter is divided by the period and transferred to a display. This frequency counter can measure frequency from 100 Hz to 1 MHz. The upper limit of frequency can be extended up to 256 MHz by adding a frequency divider. The analysis of the accuracy of measuring presented in this article can support to determine the number of digit to display.  
Algoritma Adaptif Sistem Downlink Menggunakan Recursive Least Square (RLS) Agus Basukesti; Bangga Dirgantara
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 9, No 1 (2017): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (99.46 KB) | DOI: 10.28989/angkasa.v9i1.106

Abstract

GPS (Global Positioning System) is the popular system for navigation which assistance 32 satellites orbiting the earth. Currently, tracking positions using the Global Positioning System (GPS) is one of the best positioning tracking methods. However, GPS has a lot o f noise, so filters are needed to handle with noise on GPS. In this research, the simulation is done to extract data from GPS sensors using RLS algorithm. From the results o f identification and simulation, it can be concluded that the algorithm works well and need to analyze the advantages and disadvantages to be implemented on the downlink system designed. From the simulation results obtained that error estimation is convergent that is the longer the smaller.
FILTER ADAPTIF GPS PADA SISTEM DOWNLINK DATA Agus Basukesti; Bangga Dirgantara Adiputra
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 8, No 2 (2016): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (154.295 KB) | DOI: 10.28989/angkasa.v8i2.125

Abstract

GPS (Global Positioning System) is a system used for navigation and positioning with the help of 32 satellites that orbit the earth. GPS satellites emit radio waves to activate the GPS receiver on the Earth to determine the exact location, speed and time for all weather conditions. Currently, GPS has a vital role in navigation drone. However GPS have a lot of noise, it is necessary to overcome the noise filter on the GPS. In this research conducted a simulation of adaptive algorithm in extracting data from the GPS sensor. The method in this research is the Kalman Filter. From the identification and simulation can be concluded that the adaptive algorithm is designed to work well and need to be implemented on the downlink system. The simulation results showed that the error of algorithm has convergent properties are increasingly shrinking.
Pengembangan Sistem Downlink Data Adaptif Untuk Peningkatan Daya Jelajah Pesawat Tanpa Awak Agus Basukesti; Bangga Dirgantara Adiputra
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 9, No 2 (2017): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (131.187 KB) | DOI: 10.28989/angkasa.v9i2.182

Abstract

The main challenge for the development of unmanned aircraft today is the cruising range of unmanned aircraft. One of the causes of limited cruising range is the weakness of the communication system between aircraft and ground station. In this study designed a system of data downlink integrated with adaptive control so that it can increase cruising range from unmanned aircraft. The method used in this research is the experimental method to get the design and pilot plan downlink data system combined with adaptive control to create intelligent data downlink device that can increase cruising range unmanned aircraft. From this research found that Kalman Filter is the best algorithm used in designing an adaptive downlink system.