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Journal : Indonesian Journal of Electronics and Instrumentation Systems

Pengembangan Antarmuka Stasiun Pemantauan Pesawat Tanpa Awak Menggunakan Aplikasi Android Unggul Wahyu Tri Purnomo Putro; Tri Kuntoro Priyambodo; Raden Sumiharto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 4, No 2 (2014): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (791.85 KB) | DOI: 10.22146/ijeis.7110

Abstract

AbstrakPesawat sayap tanpa awak mulai diminati oleh warga sipil untuk melakukan misi-misi pemantauan.Dalam misi tersebut muncul berbagai masalah seperti bagaimana melakukan pemantauan menggunakan pesawat tanpa awak dengan mudah, yang memiliki jarak tempuh yang cukup jauh.Berdasarkan permasalahan tersebut dibuatlah pengembangan stasiun pemantauan pesawat tanpa awak menggunakan aplikasi Android.Penelitian ini bertujuan untuk merancang dan membangun antarmuka stasiun pemantauan yang mendukung pengoperasian pesawat sayap tetap dalam melakukan misi pemantauan, yang memudahkan pengguna memantau kondisi pesawat dan apa yang sedang dipantau oleh pesawat ketika terbang. Stasiun pemantauan ini menggunakan jasa tethering dari tablet Android dan didukung oleh unit pengiriman yang terdiri dari modul ADAHRS, webcam, modul Raspberry Pi dan wireless USB dongle.Pengujian dilakukan dengan mencocokan hasil variasi orientasi sudut ADAHRS dengan panel antarmuka dan mencoba tampilan video streaming dari webcam.Penelitian ini menunjukan bahwa implementasi stasiun pemantauan pada aplikasi Android dengan respon pemrosesan paket data sistem berkisar antara 2,5 ms. Didapatkan jarak pemantauan terjauh yang mampu diterima yakni pada 130,6 m. Resolusi video streaming yang baik untuk melakukan pemantauan yakni pada resolusi 640 x 480 piksel atau 360 x 240 piksel. Kata kunci—UAV, Android, Raspberry Pi, Tethering, Video streaming, Wireless  AbstractUnmanned aerial vehicle began interested by civilian used to monitoring mission. On that mission appear a problem, like how to monitoring using unmanned aerial vehicle that have long mileage easily. Based on that problem, be made interface development of monitoring station of unmanned aerial vehicle using android application.This study aims to design and build a monitoring station interface that support  unmanned aerial vehicle monitoring mission, that made the user to know the aircraft condition and what being observed by the aircraft easily. This monitoring station used tethering service from Android tablet and supported by transmission unit that consist of ADAHRS module, webcam, Raspberry Pi module and wireless USB dongle.Test conducted by matching the result of orientation angle variations of ADAHRS with the interface panels and try to show the streaming video from webcam. This study shows the successful implementation of monitoring station on Android application with packet data process response of the interface about 2,5 ms. Obtained farthest monitoring distance on 130,6 m. The best video streaming resolution for monitoring is 640 x 480 pixel or 360 x 240 pixel. Keywords—UAV, Android, Raspberry Pi, Tethering, Streaming video , Wireless
Pemadam Api Otomatis dengan Kendali Suhu dan Kelembaban Ruangan Menggunakan Logika Fuzzy Luthfi Aprilianto; Tri Kuntoro Priyambodo
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 4, No 2 (2014): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (796.02 KB) | DOI: 10.22146/ijeis.7123

Abstract

Abstrak                Pada penelitian ini dilakukan pengembangan inovasi rumah cerdas (smart home) sistem instrumentasi dan kendali kondisi ruangan dengan kendali logika fuzzy. Sistem ini mengendalikan suhu serta kelembaban ruangan dan mengatur kadar polusi udara dalam ruangan. Sistem ini digabungkan dengan sistem keamanan pemadam kebakaran otomatis yang dapat mendeteksi adanya sumber api dan melakukan pemadaman secara otomatis.            Sistem ini akan menggunakan nilai temperatur, polusi udara, dan  paparan inframerah untuk menentukan adanya kebakaran. Selain itu, sistem ini menggunakan nilai temperatur, kelembaban, dan polusi udara untuk selanjutnya diproses di pemrosesan fuzzy untuk mengendalikan kipas DC sebagai pengatur kondisi ruangan.            Sistem ini memiliki response time untuk setiap penurunan suhu 1 oC adalah 6206.75 ms, setiap kenaikan kelembaban 1% RH adalah 2361.50 ms dan setiap penurunan gas CO 1 ppm adalah 1529.72 ms, sedangkan apabila tidak menggunakan kendali logika fuzzy maka response time untuk setiap penurunan suhu 1 oC adalah 7931.15 ms, setiap kenaikan kelembaban 1% RH adalah 4020.33 ms dan setiap penurunan gas CO 1 ppm adalah 1697.60 ms. Pemadaman api otomatis memiliki response time kurang lebih 30 detik sesaat setelah sumber api menyala. Selain itu, komunikasi data dapat mengirimkan dan menerima data tanpa adanya data loss dengan jarak kurang lebih 30 meter.Interfacing pada LabView dapat ditampilkan dengan baik dan data logging dapat dilakukan setiap satu detik. Kata kunci—Pemadam Api Otomatis,XBee Transceiver, LabView, Kendali Fuzzy  Abstract            In this research, the innovation development of smart home, instrumentation system and control room conditions with fuzzy logic control. This system controls the temperature and humidity of the room and set the levels of indoor air pollution. This system combined with automated fire safety system that can detect the source of the fire and fighters automatically.            This system will use the value of the temperature, air pollution, and exposure of infrared to determine the presence of fire. In addition, the system uses the value of the temperature, humidity, and air pollution to be further processed in the processing for the fuzzy control of DC fan as a regulator of room conditions.            This system has a response time for each 1 ° C drop in temperature is 6206.75 ms, every 1% RH increase in humidity is 2361.50 ms, and every 1 ppm decrease in CO gas is 1529.72 ms, whereas when not using the fuzzy logic control response time for each 1 ° C drop in temperature is 7931.15 ms, every 1% RH increase in moisture is 4020.33 ms and every 1 ppm decrease in CO gas is 1697.60 ms. Automatic fire suppression has a response time of approximately 30 seconds immediately after the source of flame. In addition, data communication can send and receive data without any loss of data at a distance of approximately 30 meters. Interfacing in LabView can be displayed properly and data logging can be done every single second. Keywords—Automatic Fire Extinguisher,XBee Transceiver, LabView, Fuzzy control 
Pengoreksi Nada Menggunakan Mikrokontroler untuk Meningkatkan Kualitas Suara pada Biola Danu Kusuma Wardhana; Tri Kuntoro Priyambodo
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 6, No 1 (2016): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (393.417 KB) | DOI: 10.22146/ijeis.10772

Abstract

 Violin is a frteless musical instrument so that carefulness of the player affects the tone quality. For begineers, it tooks a lot of time for fingering process, so if they are not skillfull enough it will generate many out-of-tune pitches which uncomfortable to be heard. For clearing this issue, it needs an equipment for generating in-tune pitches while the violinist is playing-live.System is made using sound sensor for receiving the wave of the violin, turned it out to electric signal and then detecting its pitch value – reading it as the interval of the main frequency – and then playing desired in-tune audio data of violin tones. The main process is done by microcontroller supported by audio shield. The output is in-tune audio data which played through speaker.System achieved 100% accuracy while using pure sinusoid wave tones for testing. System achieved  17,33% accuracy while  using pre-recorded violin tones for testing. System achieved 10,66% accuracy while using live-played violin tones for testing.
Purwarupa Pengendalian Jarak Jauh Pada Mobile Robot Berbasis Web Melalui Jaringan Wireless TCP/IP Fajar Rinto Hadiputra; Tri Kuntoro Priyambodo
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 6, No 1 (2016): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (585.644 KB) | DOI: 10.22146/ijeis.15247

Abstract

It has been successfully developed a prototype mobile robot, controlled remotely, based on web via wireless TCP/IP network. This prototype mobile robot adopts tank's movement, equipped with a surveillance camera to acquire real time data on surrounding environment, a webcam is used by user. Since it is controlled remotely from a web based application on host computer via wireless TCP/IP network, it could do some telemetry in such environment, which harmful for human. It uses a wireless device for birectional communication, to transmit and receive data. While on debugging, wireless communication are took place directly without any obstacle (line of sight), between host computer and prototype mobile robot.
Implementasi Sistem Kendali PID pada Gimbal Kamera 2-sumbu dengan Aktuator Motor Brushless Tri Kuntoro Priyambodo
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 7, No 2 (2017): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (371.159 KB) | DOI: 10.22146/ijeis.18238

Abstract

Unmanned Aerial Vehicle has been developed for the benefit in various fields. One of them is in the field of aerial photography. Taking pictures using unmanned aircraft, in addition to a good camera, also requires gimbal camera components as camera stability controller. Gimbal camera as stability controller helps the camera to obtain a better image orientation. Gimbal camera serves to reduce vibration and movement that would interfere with the camera when taking pictures caused by the movement of the drone itself. In an effort to get to the maximum camera stability, it is necessary a control systems. This study developed a camera gimbal control system with PID method. The controller is implemented in a microcontroller and uses a brushless motor as the actuator. The brushless motor is chosen because it has several advantages including the high-efficiency, longer lasting and have a good response. In order to facilitate the search for a constant value control, in this study is used Ziegler-Nichols tuning method. The final tuning on roll angle gives constant values Kp = 0:37, Ki = 0:01, and Kd = 0:29 with average response time = 0.8 seconds. While tuning  on the pitch angle gives constant values Kp = 0:55, Ki = 0:01, and Kd = 0:29 with average response time = 0.7 seconds.
Penalaan Mandiri Full State Feedback dengan LQR dan JST Pada Kendali Quadrotor Faisal Fajri Rahani; Tri Kuntoro Priyambodo
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 9, No 1 (2019): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1015.952 KB) | DOI: 10.22146/ijeis.37212

Abstract

Quadrotor is one type of unmanned aerial vehicle that has the ability to vertical takeoff and landing. In this research, a system designed to stabilize quadrotor during flight condition by maintaining at angle of roll, pitch, yaw, and x, y, and z axis position using LQR full state feedback with artificial neural network (ANN).The LQR full state feedback method uses 12 states with each K constant being tuned with ANN. This research implements ANN method to change feedback constant at angle of roll, pitch, and yaw and x, y, and z axis. The artificial neural network method uses 12 input layers, 12 hidden layers, and 1 output layer.Testing with ANN improved the rise time to ± 2.18 seconds at the roll angle, ± 1.23 seconds at the pitch angle, and ± 0.31 seconds at the yaw angle. Improved settling time value up to ± 2.41 seconds at roll angle, ± 1.23 seconds at pitch angle, and ± 1.07 seconds at yaw angle. Improved steady state eror value of ± 0.61% at roll angle, ± 4.88% at pitch angle, and ± 0.82% at the yaw angle.