Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
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.
Articles
200 Documents
<![CDATA[Schedule Planning and Maintenance Activities Auxiliary Power Unit (APU) Boeing 737-500 Aircraft With Reliability Method ]]>
<![CDATA[Ferry Setiawan]]>;
<![CDATA[Yustina Titin Purwantiningsih]]>;
<![CDATA[Dhimas Wicaksono]]>
<![CDATA[ Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo) ]]>
Publisher : <![CDATA[Akademi Angkatan Udara ]]>
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DOI: 10.54706/senastindo.v3.2021.130
<![CDATA[This study aims to plan effective maintenance schedules and activities on the auxiliarypower unit system so that there will be no more failures or unplanned or sudden damage. Failures in auxiliary power unit equipment often occur in several work systems, namely electrical systems, lubrication systems and Ignition systems, where this causes considerable losses for airlines. This research method uses qualitative and quantitative approaches, qualitative analysis uses the Failure Mode Effect and Critically Analysis (FMECA) method by analyzing the factors causing failure and the effects of failure, with the results of the causes of failure in several auxiliary power unit (APU) work systems as follows: the following electrical system is on the Relay start component, the Lubrication System is on the Oil Filter component, the Ignition System is on the igniter plug. From the results of the FMECA analysis, a quantitative analysis was carried out with the analysis carried out using the reliability method, the reliability parameter was calculated by the Weibull probability distribution, to determine the critical limit of the operational time of the component or system part which is the reliability limit of an auxiliary power unit system. The critical operational limit for the electrical system is 434 flight hours, the lubrication system is 1186 flight hours, and the Ignition system is 1610 flight hours, then these results are used to determine an effective maintenance schedule supported by planning the right maintenance activities to eliminate the causes - cause of failure in auxiliary power unit equipment.]]>
<![CDATA[Sistem Otomatisasi Desalinasi Air Laut Berbasis Internet of Things ]]>
<![CDATA[Deni Maulana Ihsan]]>;
<![CDATA[Novi Prihatiningrum]]>;
<![CDATA[Limawati Handayani]]>;
<![CDATA[Faisal Budiman]]>
<![CDATA[ Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo) ]]>
Publisher : <![CDATA[Akademi Angkatan Udara ]]>
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DOI: 10.54706/senastindo.v3.2021.131
<![CDATA[The design of automatic sea water desalination device based on Internet of Things (IoT)utilizing the thermal desalination method has been carried out. Thermal desalination is a process of salt water into pure water vapor conversion, thus the salt, minerals, and other contaminants that present in the water will be separated. The system is useful to convert sea water into fresh water, which is beneficial for community that living at coast area. The designed thermal desalination device consists of temperature, salinity, and ultrasonic sensors, which are connected to a microcontroller. In addition, the device is also equipped with an IoT system and a mobile application, for controlling and monitoring features through an android application. When the application in operation, the temperature, volume, and salinity levels data are sent via the IoT platform, so that it can be monitored by the users through an android application in mobile phone. The experimental results showed that this desalination device has succeeded in converting salt water into freshwater, with a percentage of freshwater volume after desalination process reaching 92.74%. For each process, the duration requires about 3 h. The design results, testing, mechanism, and discussion in more detail are presented in this article.]]>
<![CDATA[Kepemimpinan Transformasional Suatu Alternatif Pembelajaran Model Kepemimpinan Di Era Society 5.0 Bagi Taruna Akademi Angkatan Udara ]]>
<![CDATA[An Naas Falag Maharta]]>;
<![CDATA[Dody Sumardi]]>
<![CDATA[ Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo) ]]>
Publisher : <![CDATA[Akademi Angkatan Udara ]]>
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DOI: 10.54706/senastindo.v3.2021.132
<![CDATA[The era of Society 5.0 which is a concept where the development of the Internetof Things, Big data, and Artificial Intelligence is oriented to a better human life, in contrastto the concept in the Industrial Revolution 4.0 where the technology developed is orientedtowards the productivity of business processes, this has changed the order of life. .Transformational leadership as an alternative leadership style that can adapt to the futurewith the development of the era of society 5.0 and face the critical millennial generation whoare trained to cadets at the Indonesian Air Force Academy. The writing of this manuscriptuses a descriptive analysis method that examines the literature with the opinions of expertsand several previous studies. Based on research by Megawati et al, transformationalleadership has a positive and significant effect on job performance as evidenced by the results of simple regression calculations or the results of the t-test, the t-count value is 9.451 while the t-table value is 2.024. This means that the value of t count > t table and obtains thehighest significance value of 0.00.]]>
<![CDATA[Gesture Control Menggunakan IMU MPU 6050 Metode Kalman Filter Sebagai Kendali Quadcopter ]]>
<![CDATA[Rudi Setiawan]]>;
<![CDATA[Hendri Himawan Triharminto]]>;
<![CDATA[Muhammad Fahrurozi]]>
<![CDATA[ Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo) ]]>
Publisher : <![CDATA[Akademi Angkatan Udara ]]>
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DOI: 10.54706/senastindo.v3.2021.133
<![CDATA[The main task of the Indonesian Air Force is to uphold sovereignty in the territory ofIndonesia, so it requires human resources capable of defense equipment in accordance with the development of science and technology. One of the most important technologies is unmanned aircraft, so the research is expected to develop a drone control system with gestures, a communication system from radio to wireless and increase the accuracy of the gyroscope sensor with the Kalman filter algorithm. The system was built using a DJI Tello quadcopter drone with a gyroscope sensor using an IMU MPU 6050 and a processing system using Arduino Uno with Arduino Sketch software for kalman filter and wireless communication with Python. The system can control the drone with gestures for take off operations at an angle of 60 to 90 pitch angles, for landing at an angle of -60 to -90, for 362 data retrieval on the kalman filter method with a minimum variation of 0.00166 and a variation of 0.00564 in a range of 89.25 to 89.30. On roll with gesture to the right, if it is more than 30 to 90 and gesture to the left if it is more than -30 to -90 with a minimum variance of 0.0456 and a variance of 0.0141 at an angle of 90.42 to 90.44 of 362 experimental data samples, the system can communicate with the Wireless system.]]>
<![CDATA[Analisis Performa Take Off Engine CFM56-7B Pada Thrust Tipe 26300 Lb ]]>
<![CDATA[Sri Mulyani]]>;
<![CDATA[Rudi Setiawan]]>
<![CDATA[ Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo) ]]>
Publisher : <![CDATA[Akademi Angkatan Udara ]]>
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DOI: 10.54706/senastindo.v3.2021.134
<![CDATA[In some cases, if the engine performance descended, it could not be mantained as the standard perfomance requirements. According to CFM's engine manual, this case might be solved by down grading the engine configuration (TR) so that the engine still could be operated however it's performance was lower than earlier configuration. In this Final Assignment, the author discussed about comparison Take-Off performance of CFM56-7B engine between Thrust Rating configuration 26300 lbs. The performance calculation could be known by processing Test Cell Result data by the formula of Engine Shop Manual - 003. The purposes are to find the verification of both thrust rating configuration. The calculation of the take-off performance of the CFM56-7B engine with a 26300 lb thrust rating configuration based on the formula from the Engine Shop Manual-003 Engine Acceptance Test is a 26300 lb thrust rating configuration producing a thrust of 26920 lb. The SFC value obtained for the thrust rating is 0.3885 with an SFC margin of -5.3% and 0.382. The EGT generated by the engine is 905.9 C with an EGT margin of 17.1]]>
<![CDATA[Remote Control Berbasis Internet of Things ( IoT) ]]>
<![CDATA[Hafiz Mukhsin]]>;
<![CDATA[Bekti Yulianti]]>
<![CDATA[ Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo) ]]>
Publisher : <![CDATA[Akademi Angkatan Udara ]]>
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DOI: 10.54706/senastindo.v3.2021.135
<![CDATA[Sebagian besar perangkat elektronik pada saat ini dilengkapi dengan remote control sehingga pengguna dapat mengaktifkan dan mengontrol peralatan tersebut dari jarak tertentu. Permasalahan yang timbul setiap peralatan elektronik memiliki remote control yang berbeda. Ini menjadi tidak praktis apabila di rumah terdapat banyak peralatan elektronik. Perancangan remote control menggunakan aplikasi TUYA pada tulisan ini dan diintegrasikan smart system untuk menjalankan perintah otomatisasi dan fitur “one push” yang bekerja untuk mengendalikan perangkat elektronik tersebut. Selain itu pada remote control ini juga rancang berdasarkan titik GPS atau koordinat dari smartphone pengguna , jika pengguna meninggalkan titik lokasi maka alat electronik akan mati begitu pula sebaliknya. Untuk menghemat penggunaan daya dan juga effisiensi pada alat disetting otomatisasi dimana alat elektronik akan mati dan menyala sesuai waktu yang telah ditentukan. Berdasarkan uji coba semua peralatan elektronik berjalan jika konektifitas stabil, tidak memerlukan kuota yang banyak dan koneksi cepat. Jarak jangkauan antara remote dan router yaitu 29,79 Meter dengan free space lose sebesar 2,295 dB/km.]]>
<![CDATA[Pemodelan Dan Simulasi Cara Kerja Turbofan ]]>
<![CDATA[Nurcahyani Dewi Retnowati]]>;
<![CDATA[Dwi Nugraheny]]>;
<![CDATA[Heri Sunaryo]]>
<![CDATA[ Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo) ]]>
Publisher : <![CDATA[Akademi Angkatan Udara ]]>
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DOI: 10.54706/senastindo.v3.2021.136
<![CDATA[Modelling and simulation how the gas turbine works on a turbofan uses several processes,namely making modeling using Blender software and making animation simulations using Unity software. The method used is Multimedia Development Life Cycle (MDLC). In the turbofan, it can be seen that there is a change in air temperature pressure which is indicated by a change in color, sound and engine rotation. This simulation uses an ideal cycle of thrust force of 1 to 6 rpm, according to the state of the engine on the ground which is not affected by altitude, velocity and speed of sound. Based on the results of the functionality test, it is known that all the functions and buttons in the simulation can run well according to their functions and can be run on Windows 7, Windows 8, and Windows 10 operating systems.]]>
<![CDATA[Sistem Pakar Berbasis Aturan untuk Mendiagnosis Kanker Payudara Menggunakan Certainty Factor ]]>
<![CDATA[Chiva Olivia Bilah]]>;
<![CDATA[Ardian Infantono]]>
<![CDATA[ Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo) ]]>
Publisher : <![CDATA[Akademi Angkatan Udara ]]>
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DOI: 10.54706/senastindo.v3.2021.137
<![CDATA[As we know that cancer has various types such as lung, cervical, breast, colon and so on.Breast Cancer (BC) is a very serious health problem in Indonesia. Breast cancer ranks first as the most dangerous and is considered a 'killer'. Therefore, a strategy for early diagnosis of BC is needed to reduce the risk of death from breast cancer. This study uses an expert system using the forward chaining method and certainty factor to diagnose BC early based on the type of symptoms that exist. The development of the expert system in this study uses the CLIPS programming la]]>
<![CDATA[Peran Lembaga Pendidikan Sekkau Dalam Menyiapkan Peserta Didik Profesional Di Era Society 5.0 ]]>
<![CDATA[Hanny Sahupala]]>;
<![CDATA[Jimmy Venny Tokio Tiwow]]>;
<![CDATA[Linda Sartika]]>;
<![CDATA[Agus Pudjianto]]>
<![CDATA[ Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo) ]]>
Publisher : <![CDATA[Akademi Angkatan Udara ]]>
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DOI: 10.54706/senastindo.v3.2021.138
<![CDATA[The role of the Sekkau educational institution is to prepare various things that are included in the education component such as the readiness of educational facilities, the readiness to develop the existing curriculum, the readiness of human resource providers (HR), alins/alongin with a perspective on society 5.0, by improving the quality of student outcomes. superior ones who have future insights equipped with various developments such as the quality of human resources, curriculum development, and equipped with competency standards and innovations for lecturers to be able to improve the quality of students in educational learning. Furthermore, it produces several developments in the form of educational goals in line with educational goals and strategies that have been planned by carrying out various evaluations which include involving educational facilities (fasdik), girls (education staff), curriculum development and the condition of students who can attend education with psychological and mental qualities. physically healthy and able to understand every lesson provided by the institution. The Lecturer profession also makes changes both in analysis and application as well as innovations that can increase changes towards technological progress.]]>
<![CDATA[Re-Fake: Klasifikasi Akun Palsu di Sosial Media Online menggunakan Algoritma RNN ]]>
<![CDATA[Putra Wanda]]>;
<![CDATA[Marselina Endah Hiswati]]>;
<![CDATA[Mohammad Diqi]]>;
<![CDATA[Romana Herlinda]]>
<![CDATA[ Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo) ]]>
Publisher : <![CDATA[Akademi Angkatan Udara ]]>
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DOI: 10.54706/senastindo.v3.2021.139
<![CDATA[Online Social Network (OSN) is an application that enables public communication andinformation sharing. However, fake accounts on OSN can spread false information with unknown sources. It is a challenging task to detect malicious accounts in a large OSN system. The existence of fake accounts or unknown accounts on OSN can be a serious problem in maintaining data privacy. Various communities have proposed many techniques to deal with fake accounts on OSN, including rules-based black-and-white techniques to learning approaches. Therefore, in this study we propose a classification model using RNN to detect fake accounts accurately and effectively. We carried out this research in several steps, including collecting the dataset, pre-processing, extraction, training our model using RNN. Based on the experimental results, our proposed model can produce higher accuracy than conventional learning models.]]>
