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Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)

senastindo
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Published by Akademi Angkatan Udara

ISSN : 26858991 EISSN : 28082540 DOI : https://doi.org/10.54706/senastindo

Core Subject : Science, Education, Engineering,

Computer Science & IT Control & Systems Engineering Engineering Mechanical Engineering Other

Semua inovasi yang berguna dan berkaitan secara langsung maupun tidak langsung terhadap inovasi nasional yang lebih bermutu dengan intisari tidak terbatas pada teknologi apapun, baik yang mengenai Databases System, Data Mining/Web Mining, Datawarehouse, Artificial Integelence, Business Integelence, Cloud & Grid Computing, Decision Support System, Human Computer & Interaction, Mobile Computing & Application, E-System, Machine Learning, Deep Learning, Information Retrievel (IR), Computer Network & Security, Multimedia System, Sistem Informasi, Sistem Informasi Geografis (GIS), Sistem Informasi Akuntansi, Database Security, Network Security, Fuzzy Logic, Expert System, Image Processing, Computer Graphic, Computer Vision, Semantic Web, e-Health, Animation dan lainnya yang serumpun dengan Inovasi Nasional lainnya. AERONAUTIKA antara lain: Aerodinamika, Material dan Komposit, Kelistrikan dan Instrumen Pesawat Terbang, Avionik, Flying Control, Teknologi Rekayasa Material, Termofluida, Fluida Mekanik, Material Komposit Maju, Teknologi Persenjataan, dsb. TEKNIK ELEKTRO antara lain: Sistem Mikroelektronik, Instrumentasi Industri, Optoelektronik, Perancangan Rangkaian Analog, Desain dan Teknologi ASIC, Desain dan Teknologi FPGA, Sensor dan Transducer, Sistem Pembangkit Energi Listrik, Sistem Transmisi dan Distribusi, Sistem Proteksi Listrik, Tegangan Tinggi, Mesin-mesin Listrik, Elektronika Daya, Energi Terbarukan, Modulasi dan Pemrosesan Sinyal Digital, Teori Informasi dan Pengkodean, Saluran Transmisi, Antena dan Propagasi Gelombang, Komunikasi Bergerak dan Nirkabel, Sistem dan Jaringan Komunikasi, Teknologi Jaringan Telekomunikasi, Sistem Otomatisasi, dsb. TEKNIK INDUSTRI antara lain: Ilmu Ergonomi Industri, Industri Pertahanan, dsb. TEKNIK DIRGANTARA antara lain: Ilmu-ilmu Aeronautika dan Astronautika, Aerodinamika, Struktur Pesawat Terbang, Propulsi, Mekanika Terbang, Material Pesawat Terbang, Astrodinamika, Aeroelastisitas, Aeroakustik, Sistem Pesawat Terbang, Proses Desain dan Produksi Pesawat Terbang, dan Sistem Operasi Penerbangan, dsb. TEKNIK KIMIA antara lain: Kimia bahan eksplosif, Kimia logam, Kimia Industri TEKNOLOGI INFORMASI & KOMUNIKASI antara lain: Sistem Informasi, Rekayasa Perangkat Lunak, Arsitektur Komputer, Jaringan Komputer, Security & Cryptography, Mobile & Cloud Computing, Quality of Service (QoS), Network Programming, Remote Sensing & GIS, Pemodelan dan Simulasi, Multimedia Processing, Teknologi Informasi dan Aplikasi, Big Data, dsb. DRONE & ROBOTIKA antara lain: Control theory and applications, embedded system, mechatronic and robotic, Unmanned Aerial System (UAS), mobile robotics, artificial intelligent, neural network, fuzzy logic, intelligent system, swarm intelligent, genetic algorithm, soft robotic, dsb. CYBER antara lain: Teknik Hacking, Cyber Defense, Cyber Security, Cyber Attack System, dsb.

Arjuna Subject : Umum - Umum

Articles 79 Documents

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Pengembangan Software Aplikasi Pendeteksian Objek Berbasis LiDAR (Light Detection and Ranging) (Development of Lidar-Based Object Detection Software) Raden Aditya Satria Nugraha; Denden Mohammad Arifin; Arief Suryadi Satyawan; Mohammed Ikrom Asysyakuur; Nafisun Nufus; Ni Nyoman Ayu Marlina Santi; Achmadan Habibi
Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
Publisher : Akademi Angkatan Udara

The car is a means of transportation whose needs are getting higher. This situation is not only happening abroad but also in Indonesia. However, the car's existence is currently complained about because of the pollution it produces and the level of comfort. Expectations in the future seem to be more directed at electric cars with deficient pollution levels and convenience in their use, such as autonomous electric cars. Therefore, we must master the technology of autonomous electric vehicles to enter the era of Mobility in Society 5.0. One form of related technology is a LiDAR-based object detection software system. Sometimes, the software accompanying a tool cannot provide various facilities according to the field's application needs. This condition is due to the manufacturer's limitations, likewise with 2D LiDAR products widely marketed, for example, YDLiDAR. For object detection applications, the provided software has limitations in data storage, flexibility in data presentation, and the ability to reduce noise when the LiDAR is operated under certain conditions. This study developed LiDAR-based object detection software to overcome the shortcomings mentioned above by adding the functions discussed above and applying them to object detection and distance recognition. In general, this system combines a software system developed on a laptop with a hardware system consisting of YDLiDAR G4 and a serial data interface. This software system was also created using the python programming language. The measurement results show that the performance of the software developed has good visual performance. This software can store detection data for a specified duration and suppress noise, which is quite good. The noise reduction capability of this software system can reduce errors up to 19.2%.

Sistem Pendeteksi Pejalan Kaki di Lingkungan Terbatas Berbasis SSD Mobilenetv1 Menggunakan Gambar 360° Ternormalisasi Ni Nyoman Ayu Marlina; Denden Mohammad Ariffin; Arief Suryadi Satyawan; Mohammed Ikrom Asysyakuur; Muhammad Farhan Utamajaya; Raden Aditya Satria; Nafisun Nufus; Ema Ema
Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
Publisher : Akademi Angkatan Udara

Along with the times, every car manufacturer always creates its newest products that aremore sophisticated. This idea then gave birth to the concept of an autonomous electric vehicle (KLO .) This purpose is intended to always present vehicles that can meet consumers' growing tastes while also being environmentally friendly. The presence of autonomous electric vehicles will certainly be experienced by Indonesia, whose people have started to rely on car transportation. Therefore, this situation requires us to be prepared to face the era of Mobility in Society 5.0, where we must master the supporting technology. Autonomous electric vehicles can be realized if the system can detect objects properly. Therefore, a deep learning-based pedestrian detection system was developed and utilized 360° images in this study.The object detection software system was built using the Single Shot Multibox Detector (SSD)MobilenetV1, while the hardware used for this development is Jetson AGX Xavier. The development process started from taking a normalized 360° image containing pedestrian information in the Nurtanio University campus area which was then used as a dataset and test data, training the MobileNetV1 SSD with the dataset (19038), and testing the trained software model in real-time and offline. Offline test results on 735 360° images in daytime conditions show that 55.5% of images can be detected ideally, while of 595 360° images in afternoon conditions, 51.2% of images can be ideally detected. In real-time testing, 98% of pedestrians are inevitably seen during the day, while only 95% in the afternoon. The average processing time on an image in daytime conditions is 32.81283 ms if using the CPU, while if using the GPU, it is 32.79766 ms. For an image with the same information in the afternoon conditions, the processing time is 37.42598 ms if using the CPU, while if using the GPU, it is 37.45174 ms.

Simulasi Sistem Pendeteksi Objek Pada Pesawat Dengan Menggunakan Teknologi SAR (Synthetic Aperture Radar) Mohammed Ikrom Asysyakuur; Denden Mohammad Ariffin; Arief Suryadi Satyawan; Ni Nyoman Ayu Marlina; Nafisun Nufus; Raden Aditya Satria Nugraha; Ema Ema
Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
Publisher : Akademi Angkatan Udara

To map an object in the form of the contours of an area will be difficult if you use a passive sensor system such as a camera because of its limitations to penetrate clouds, fog, and erratic weather. Therefore, better technology is needed to map an object from above the earth's surface or the air. Synthetic Aperture Radar (SAR) is a mapping technique using radar to produce high-resolution maps of the earth's contours or describe an object and present information in the form of images or images. SAR can work in any weather conditions, whether in the rain, snow, or even fog. Another SAR capability is to be able to detect objects with a fairly good level of accuracy. Based on the above, research and development of SAR technology is very necessary. In this research, preliminary studies on SAR technology have been carried out. This research is intended to complement the capabilities of drones or unmanned aerial vehicles (UAVs) both for imaging the contours of the earth and activities related to society 5.0 so that the application can be used for modern agriculture, forestry, marine, and border observation activities. The goal is to simulate the detection of objects that are on the ground. There are two simulated SAR-based object detection methods, namely Range Migration Algorithm and Back Projection Algorithm. This simulation was built using a computer with an AMD A8 processor, 8 GB of memory, and MATLAB 2019 software. The simulation results show that the system design for both algorithms can work well at a frequency of 4 GHz with a resolution range of 3m. The image displayed in this simulation is in 2-D form. The average processing time of the two algorithms to be able to detect objects is 103.2 seconds. The image displayed in this simulation is in 2-D format. While the average processing time of the two algorithms to be able to detect objects is 103.2 seconds.

Sistem Pendeteksi Pejalan Kaki Di Lingkungan Terbatas Berbasis SSD MobileNet V2 Dengan Menggunakan Gambar 360° Ternormalisasi Nafisun Nufus; Denden Mohammad Ariffin; Arief Suryadi Satyawan; Raden Aditya Satria Nugraha; Mohammed Ikrom Asysyakuur; Ni Nyoman Ayu Marlina; Chandra Himawan Parangin; Ema Ema
Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
Publisher : Akademi Angkatan Udara

The growth of vehicular traffic in various areas such as urban and rural areas is gettinghigher due to the increasing need for transportation equipment. This condition causes many scientists to continuously improve the quality of the mode of transportation so that it is easier, safer, and more practical to use. As a result, the idea of driverless transportation has emerged to meet this need. The form of transportation is private vehicles, and it is expected to be in the form of mass vehicles such as buses or trains. Several aspects must be considered in designing autonomous transportation or autonomous electric vehicles so as not to cause accidents that can endanger the driver and the surrounding environment. Among them is the existence of a pedestrian detection system. This system is critical because, like conventional vehicles, autonomous vehicles must avoid pedestrians, but they work with no driver assistance. In this study, a software system that can detect pedestrians from all directions using a 360° camera was developed to overcome the above. This system also utilizes deep learning technology. The design and realization of this system went through several stages. The stages include installing supporting software on the NVIDIA Jetson AGX Xavier, capturing video data with a 360° camera for composing a dataset of 19,038 images, training the MobileNet V2 SSD with the dataset, and testing the trained model with the real-time and offline testing process. As a result, by testing 548 normalized 360° images offline for daytime conditions, 60.40% of images were perfectly detectable, while for 514 normalized 360° images for evening conditions, 62.25% of images were ideally detected.

Pemodelan Simulasi Tabung Penyerap Energi Crash Box Sebagai Teknologi Keselamatan Pasif Berbasis Software FEM (Finite Elemen Methode) Willy Wirawan; Adya Aghastya; Septiana Widi Astuti; Natriya Faisal Rachman; Suprapto Suprapto; Yustina Titin Purwantiningsih
Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
Publisher : Akademi Angkatan Udara

A crash box is one of the absolute safeties in transportation that functions as a means ofabsorbing impact energy to reduce injuries to drivers and passengers due to collisions or accidents. This study aims to determine the value of energy absorption and the resulting deformation pattern on the crash box in the form of a one-segment circular tube. The method in this study uses a quasiexperimental using finite element-based simulation software (finite element method). The variables in this study include a tube length of 300 mm with variations in the thickness of 1,5 mm and 3 mm and a tube diameter of 120 mm. A quasi-static collision test will be carried out with an impactor with a mass of 200 kg and a speed of 10 m/s. The simulation on the crash box is observed based on the value of energy absorption, reaction force, and the formed deformation pattern. The simulation results show that the highest energy absorption value is found in the 3 mm thick crash box of 790000 Joules. The reaction force of 230000 N. It can be seen that the deformation pattern formed tends to bend in the 1,5 mm thick crash box and forms a concertina pattern on the thick crash box is 3 mm..

Analisa Hubungan Kecerdasan Emosi dan Penyesuaian Diri Taruna Akademi Angkatan Udara Dalam Menghadapi Era Society 5.0 Muhammad Hero Javaniz Adjisakti; Gagat Riano; Aan Dedy Christiawan; Ismoyo Ismoyo; Limawati Handayani
Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
Publisher : Akademi Angkatan Udara

In the era of Society 5.0, humans are faced with various challenges and social problemsthat take advantage of various technological innovations which were born in the era of the industrial revolution 4.0. As a solution to these problems, education has an important role to improve the quality of Human Resources (HR). For this reason, the Air Force Academy (AAU) as one of the official educational institutions that prepares human resources in the military world, has an important mission to improve the quality of its education in order to prepare the cadets to face the era of Society 5.0. As the first step of education at AAU which will be taken for four years, cadets are required to be able to adapt to the military environment, which is clearly much different from their previous world. One important factor in self-adjustment is emotional intelligence. Thus, it is necessary to conduct research on the influence of emotional intelligence on the adjustment of cadets in attending education at the AAU as part of the readiness of the AAU's role to prepare Indonesian Air Force human resources in the era of society 5.0. In this study, the method used is the correlative quantitative method to see the relationship between one or several variables with other variables. Based on the research, it was found that emotional intelligence was strongly correlated with the adjustment of AAU cadets (R=0.647 and R2= 0.418). ME for both variables is included in the high level of category, with the ME value of emotional intelligence at 103.6974 and self-adjustment at 24.651. Thus, seriousness in the implementation of education and training needs more attention as capital in forming Indonesian Air Force officers who are ready to face Society 5.0.

Rancang Bangun Secure Mobile IP PBX Berbasis Raspberry Pi Dalam Mendukung Komunikasi Kegiatan Luar Taruna Akademi Angkatan Udara Muhammad Kharrel Dwiadamajati; Muhammad Fahrurozi; Edi Supartono; Bambang Gastomo
Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
Publisher : Akademi Angkatan Udara

The Air Force Academy is a candradimuka crater for prospective soldiers who will laterproduce Air Force officers who are Tanggon, Responsive and Trengginas. In their activities they carry out learning and practicing activities both inside and outside the knighthood. Outdoor activities are carried out in a field full of challenges. Under any circumstances and under any conditions the activity must be carried out properly. Communication is one of the main keys to the success of a mission. In this study, a secure mobile IP PBX based on raspberry pi 4. This VoIP server replaces the conventional PABX and is used as a means of communication even though there is no internet signal. The device is designed as a standalone PABX field that is not dependent on a particular vendor. The user uses a softphone that is embedded in the smartphone. In addition, the security side remains the main factor in maintaining the content of the communication content. This device is equipped with TLS and ZRTP protocols to prevent MiTM attacks from occurring. In the end, this device is a communication bridge when AAU cadets are carrying out external activities.

Implementasi Trainer PLC Guna Pembelajaran Mekatronika Di Akademi Angkatan Udara Bambang Gastomo; Edi Supartono; Muhammad Fahrurozi
Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
Publisher : Akademi Angkatan Udara

The implementation of mechatronics learning packaged in the form of a PLC trainer goes through several stages including: needs analysis, model design, implementation, product testing and revision. Overall, the feasibility of PLC trainers based on the results of the feasibility test, namely the validation of media experts was declared very feasible with a percentage of 86.67%, material expert validation was declared very feasible with a percentage of 88.33%, while in the pretest and posttest with an average pretest value of 67 ,19 and post test 72,72. The results of the t-test stated that the value of tcount > ttable (8.288 > 2.042) and significance (0.000 <0.05), meaning that there was a significant difference in the average score of pretest and posttest cadets learning achievement scores with an increase in the learning percentage of 82.30%. It can be concluded that the implementation of the PLC trainer for teaching mechatronics is included in the very good category and is worthy of being used as a learning medium in order to improve AAU's student outcomes.

Analysis of WhatsApp Mod User Awareness Information Security with Static Analysis Methods and Quantitative Methods Banu Santoso; Muhammad Abdul Ghofur; Jeki Kuswanto
Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
Publisher : Akademi Angkatan Udara

Increasing technological developments make the use of technology in the world alsoincrease and have a good or bad impact on the security of information that exists in cyberspace, this existing information security can be spread and accessed by irresponsible people by taking advantage of security gaps from every information media that exist in cyberspace, one of the gaps that allows for crimes to occur by utilizing unofficial applications where the application offers more attractive features so that users want to use the application. Applications that are widely used include the type of social chat network, where in this case the theme of WhatsApp mod users is raised, where the WhatsApp mod offers several features that do not exist in the official WhatsApp application on the Android platform. This can be one of the gaps where application development is not carried out officially, where data and information disseminated through the WhatsApp mod communication media cannot be guaranteed. Therefore, this research is expected to provide a percentage value related to the level of awareness of WhatsApp users which can be used as learning related to existing information security by paying attention to the results of static analysis related to security holes in the WhatsApp mod application.

Perancangan Sistem Pengukuran Kinerja Program Studi Akademi Angkatan Udara Sebagai Kesiapan Menghadapi Era Society 5.0 Sah Feroza; Gagat Riano; Ismoyo Ismoyo; Limawati Handayani
Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
Publisher : Akademi Angkatan Udara

In order for the implementation of the academic ability basic potential development of the air dimension at AAU to be carried out efficiently, harmoniously and efficiently, a performance measurement system (SPK) design that is integrated with quality assurance is required. By using the IPMS method for the design and the AHP method for weighting, this study aims to develop a performance measurement system (SPK) in the AAU Department. From this research, 13 requirements, 25 objectives and 44 key performance indicators (KPI) can be identified which are grouped into 10 education components of Indoensian Airforce Arm Forces. The weighting results show that the curriculum criteria is the highest weight with a value of 11.52% and the lowest weight in the instruction package is 8.87%. While the largest weight of KPI is KPI NO 15B, namely the Conformity of RPS and SAP with Learning Outcomes with a value of 0.3764.

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Ardian Infantono

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Redaksi Prosiding Senastindo AAU Ksatrian Akademi Angkatan Udara Jl. Laksda Adisutjipto KM. 10, Sleman, Daerah Istimewa Yogyakarta 55002 Telp. (0274) 486922 Ext. PPM Email: senastindo@aau.ac.id

Location
Kab. sleman,

Daerah istimewa yogyakarta

INDONESIA

Abstract

Abstract

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Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Ardian Infantono

Contact Email ardian.infantono@aau.ac.id

Phone +6287838880048

Journal Mail Official senatindo@aau.ac.id

Editorial Address Redaksi Prosiding Senastindo AAU Ksatrian Akademi Angkatan Udara Jl. Laksda Adisutjipto KM. 10, Sleman, Daerah Istimewa Yogyakarta 55002 Telp. (0274) 486922 Ext. PPM Email: senastindo@aau.ac.id

Location Kab. sleman, Daerah istimewa yogyakarta INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Ardian Infantono

Contact Email
ardian.infantono@aau.ac.id

Phone
+6287838880048

Journal Mail Official
senatindo@aau.ac.id

Editorial Address
Redaksi Prosiding Senastindo AAU Ksatrian Akademi Angkatan Udara Jl. Laksda Adisutjipto KM. 10, Sleman, Daerah Istimewa Yogyakarta 55002 Telp. (0274) 486922 Ext. PPM Email: senastindo@aau.ac.id

Location
Kab. sleman,

Daerah istimewa yogyakarta

INDONESIA