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PENGOLAHAN DATA GPS UNTUK KENDARAAN LISTRIK OTONOM Putra, Nyoman Triyoga Arika; Satyawan, Arief Suryadi; Wulandari, Ike Yuni; Ariffin, Denden Mohamad
Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol. 4 (2022): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
Publisher : Akademi Angkatan Udara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54706/senastindo.v4.2022.187

Abstract

Information and communication technology continues to show its development, and one of the technological developments in the information sector is the Global Positioning System (GPS). GPS technology is designed by utilizing satellites in space called the Global Navigation Satellite System (GNSS) whose application can be used in autonomous electric vehicles. Therefore, this study aims to design a GPS data processor on autonomous electric vehicles. The method used is using a Raspberry Pi 4 mini computer and a Neo 6M GPS module and the basic application is using the Python programming language. The application created has an output in the form of a display that shows the data obtained from the satellite and automatically the data will be stored in the form of an Excel file. The data in the Excel file will be compared with data from Google Maps. From the results of the research that has been done, the use of the Neo 6M GPS module in this application has an economical price, and the location data received is quite accurate, the GPS can be used indoors or outdoors, and even in rainy conditions the GPS can still receive signals well. these results can be applied to the autonomous electric vehicles technology.
REKONSTRUKSI OBJEK DUA DIMENSI MENGGUNAKAN MODIFIKASI RANSAC Christian, Yohanes Wahyu; Satyawan, Arief Suryadi; Wulandari, Ike Yuni; Ariffin, Denden Mohamad
Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol. 4 (2022): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
Publisher : Akademi Angkatan Udara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54706/senastindo.v4.2022.203

Abstract

Abstract—RANSAC (Random Sample Consensus) can be used as mathematical model parameters of a set of observed data contains inlier and outlier data. In manufacture can also be used to build exact line equations from a number of data, by validating the data by looking at the inlier and outlier data of a project being worked on. To create a program in making this final project, the author uses two-dimensional data that is processed by LiDAR (Light Detection and Ranging), the author conducts data collection and research on the performance of two-dimensional object reconstruction using RANSAC modifications in Python. In the first experiment using data from LiDAR detection, the authors limit that the variable value of the residual threshold is above 3000, so it can be expressed as an imperfect image, from the first test it is produced with 92.85% perfect data, while for the second test it gets 52% data. Perfect. Reconstruction of 2D objects from LiDAR data can be validated using the RANSAC method. Ransac method is used to build the exact equation of the line from a number of data. So that the generated line can be a reference whether the amount of data to be observed is a correct 2-dimensional object reconstruction. How to validate by looking at the suitability of the inlier and outlier data from the RANSAC line equation. Inliers data will indicate whether the pattern of the reconstruction data is appropriate.
Perbandingan Doubler Alumunium Seri 2024-T3 Dan 7075-T6 Pada Center Fuselage Lower Structure Dengan Pengujian Bending. Damopoli, Jilbert Arien; Ariffin, Denden Mohamad; Hermawan, Sya’ban Tri
Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol. 6 (2024): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
Publisher : Akademi Angkatan Udara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk melakukan perbandingan mendalam terhadap kekuatan material doubler pada aluminium paduan seri 2024-T3 dan 7075-T6 yang digunakan secara luas dalam industri penerbangan, khususnya dalam struktur center fuselage lower structure pesawat C-130 Hercules. Fokus utama penelitian adalah pada pengaruh perlakuan panas terhadap karakteristik keduapaduan tersebut. Metode pengujian yang digunakan adalah pengujian bending, yang merupakan salah satu metode standar dalam mengevaluasi kekuatan material untuk aplikasi struktural. Melalui pengujian ini, respons mekanis dari kedua paduan dapat dipahami dengan lebih baik, termasuk distribusi tegangan dan deformasi yang terjadi saat beban diberikan. Hasil dari pengujian ini akanmemberikan pemahaman yang lebih mendalam tentang bagaimana perlakuan panas mempengaruhi kekuatan dan kekuatan material pada aplikasi sebenarnya terutama pada repairment pesawat guna mempertahankan kelancaran operasional penerbangan. Dengan demikian, penelitian ini dapat memberikan wawasan yang berharga bagi Teknisi dalam memilih material yang paling sesuai untukstruktur pesawat yang memenuhi persyaratan keamanan dan kinerja. Selain itu, harapanya pemahaman yang lebih baik tentang karakteristik mekanis dari kedua paduan ini dapat memberikan kontribusi penting dalam pengembangan teknologi material untuk industri penerbangan di masa depan.