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All Journal Indonesian Journal of Electronics and Instrumentation Systems Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika

Raden Sumiharto

Departemen Ilmu Komputer Dan Elektronika, FMIPA UGM, Yogyakarta

Author-ID : 2898840

Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

Published : 34 Documents Claim Missing Document

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Purwarupa Sistem Integrasi Metadata Foto Udara Dengan Data Sistem ADAHRS Raden Sumiharto; Intan Nur Fadliilah
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 6, No 2 (2016): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

This research was done by implementing aerial photographs metadata integrated system with ADAHRS data system. Photos and ADAHRS data were taken along using the camera and ADAHRS devices were installed on UAV. Data were taken from ADAHRS consisted of date, time, air speed, GPS latitude-longitude, altitude, temperature, air pressure, roll, pitch, and yaw.The method in the system included custom tag configuration, extracted metadata, the synchronisation and integrated data between ADAHRS and photo metadata. Configuration, extraction and integration process were done using ExifTool. Datestamp and timestamp in photo metadata and ADAHRS data were used as a parameter of integrating data on synchronisation.The systematical experiment was done by test on the effect of image resolution and number of photos to the duration of the whole process. This system was able to integrate ADAHRS data from image resolution, were 230 pixels x 1536 pixels, 1920 pixels x 1080 pixels, 1280 pixels x 720 pixels, and 848 pixels and 480 pixels. Amount of time average of process were 3,936 seconds/100 photos, 7,454 seconds/200 photos, 11,156 second/300 photos, 14,740 seconds/400 photos, and 18,460 seconds/500 photos. This system can be able to make a backup from extended version and retain the originality of photo metadata.

Purwarupa Sistem Prediksi Luas dan Hasil Panen Padi suatu Wilayah menggunakan Pengolahan Citra Digital dengan Metode Sobel dan Otsu Ardya Yunita Putri; Raden Sumiharto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 6, No 2 (2016): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Area and paddy crop yield prediction system of an area using image processing by Sobel Otsu’s method is one of system that utilize aerial photo data for measuring area and prediction of its crop yield. Otsu’s method is used to thresholding process and Sobel’s method is used to detect paddy field’s edges that will calculate its area. Then filtering process so that the scanning process white pixels are counted only exist in the desired region. After the amount of white pixel(s) is obtained, their amount is multiplied with the scale that obtained from calibration process and crop yield prediction (kg/m2). Detection of yellow paddy color that ready-to-harvest is successfully performed by processing the HSV color, which is then detected by thresholding HSV. At the time of testing with variety of paddy color, the detected paddy color is the paddy color ready-to-harvest, which is brownish yellow that represented by white pixels, and will be used then to predict its area and crop yield. Thereafter, accuracy calculation test resulting in different error levels in different paddy fields. Error in testing of this system are 3,1 %, 8,7%, 4,9% dan 248%. The highest error value is caused by excessive exposure of light, with the result that the green color on paddy is detected by the system as yellow and some areas are covered by trees that, thereby reducing paddy fields area calculation.

Purwarupa Sistem Kendali Kestabilan Pesawat Tanpa Awak Sayap Tetap Menggunakan Robust PID Dwitiya Bagus Widyantara; Raden Sumiharto; Setyawan Bekti Wibowo
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 6, No 2 (2016): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

This study has implemented stability control system of Unmanned Aerial Vehicle (UAV) using robust PID. The aircraft stability refers to wind against in glidding condition with straight movement. Robust PID used to control aircraft motion system. Control parameters obtained from the IMU sensor roll, pitch and yaw. IMU data are computed using DCM algorithm that produces Eulerian angles. Type PID control is determined by Ziegler-Nichols methods theory of oscillations. Control system are varied three types, there are P, PI, and PID. The results have the best type of PID control with D constant value = 0 for each motion systems. PID constant value used for the aileron Kp = 2,93, Ki = 2,808 and Kd = 0, elevators Kp = 2,02, Ki = 1,731 and Kd = 0 and rudder Kp = 1,35, Ki = 0,9 and Kd = 0. Robust method using ISE (Integral Squared Error) which replaces integral PID control error. The system was tested using two mode. Mode A (Manual-PID-RobustPID) and mode B (Manual-RobustPID-PID). The result of robust PID methods is able to make the system response to disturbances better than regular PID that increase the settling time of aileron 63.67% , elevator 41.42% and rudder 57.33%.

Sistem Pentautan Citra Udara Menggunakan Algoritme SURF dan Metode Reduksi Data Zaki Hamizan; Raden Sumiharto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 7, No 2 (2017): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

One of the algorithm for aerial image stitching system is SURF (Speeded Up Robust Features). It is a robust algorithm which is invariant to image scale, rotation, blurring, illumination, and affine transformation. Although SURF has good performance, some of the detected keypoints are not always considered as necessary keypoints . As a result, these unnecessary keypoints are needed to be eliminated to decrease computation time.The proposed system uses SURF detector in the detection process. The data reduction method will eliminate couple of keypoints which have near distance each other. Next, the keypoints will be described by SURF descriptor.The description Results further matched using FLANN. The next step is the search pattern with RANSAC homography matrix and stitch the picture to accumulate keypoints using warpPerpective.Stitching system are tested with some variations, such as scale variations, rotation variations, and overlap variations on the image. Based on the result, the proposed Data Reduction method has optimum value of minimal radius from 40 pixels to 100 pixels. The stitching process is still working with up to 90% keypoint number reduction. Average computation time using data reduction method are 39,41% faster than without data reduction method.

Pengembangan Sistem Ground Control Station Berbasis Internet Webserver pada Pesawat Tanpa Awak Fredy Aga Nugroho; Raden Sumiharto; Roghib Muhammad Hujja
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 8, No 1 (2018): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

In unmanned aerial operations, the ground control station duties as a monitoring and command station so that operators on land can send mission orders, monitor the mission's course and monitor the condition of the UAV during the mission. It is necessary to have a GCS system capable of connecting with UAV that not limited with control transmitter range.This research develops GCS system using internet network and web server based. the system consists of two units, namely flying units and GCS units. The flying unit consists of Raspberry pi, modem, webcam, ADAHRS module and quadrotor with MultiWii controller. on the GCS unit consists of Raspberry pi connected on the internet network with 10Mbps download speed and 1.5Mbps upload.The GCS system can display aircraft conditions, stream video and perform command controls. Configure streaming video for delay time of no more than one second with 240x144 pixel resolution, 256kbps maximum bitrate and 5 fps framerate. This configuration runs at a 1.1 Mbps upload speed with a percentage of 93.83% bitrate compression. Aircraft condition data sent to GCS is optimal if internet bandwidth exceeds the bitrate of streaming video used on the system

Sistem Pengukuran Nitrogen, Fosfor, Kalium Dengan Local Binary Pattern Dan Analisis Regresi Muhammad Miftahul Amri; Raden Sumiharto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 9, No 2 (2019): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Nitrogen, Phosphorus and Potassium (NPK) are macro elements that important for the paddy development. NPK is a parameter that used for calculating fertilizer dosage. Current NPK measurement through laboratory requires a relatively long time, so we design a new system that can speed up the process and provide correct fertilizer dosage recommendations.This paper proposes an android based system using Local Binary Pattern (LBP) and Regression Analysis to measure soil nutrients and provide fertilizer dosage recommendations based on the LPT Bogor's formula. Samples of soil image taken from rice fields in Special Region of Yogyakarta. The measurement is processed by extracting LBP features from the soil image that has through the pre-processing stage. The extraction results were then analyzed using Multiple Linear Regression (MLR). The equation results from MLR is used to calculate NPK.The results show that the proposed system can detect NPK levels in paddy fields in Yogyakarta and provide fertilization dosage with an average detection accuracy of 70.65% (N 94.98%, P 50.84 %, and K 66.14%). The accuracy was obtained from the image taking at an optimal height of 70 cm and optimal angle of 0o to the ground surface. The average processing time is 0.61 seconds.

Metode Routing Protokol LEACH pada Jaringan Sensor Nirkabel Studi Kasus Sistem Pemantauan Suhu dan Kelembaban Udara Raden Sumiharto; Rosyidatul Ilma; Rif’Atunnisa Rif’Atunnisa
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 9, No 1 (2019): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Wireless Sensor Network (WSN) is a wireless network consisting of a group of nodes scattered in a certain area. Each node has the ability to gather data around it and communicate with other nodes. In WSN, energy efficiency is important to maintain the lifetime of a network. A WSN consisting of several clusters and having a Cluster Head (CH) in each cluster requires a CH change mechanism in each cluster so that the network lifetime is longer.The LEACH algorithm is implemented on a system consisting of 9 sensor nodes and 1 sink node. Each sensor node monitors the temperature and humidity of the surrounding air. System testing is done by varying the number of data snippets per CH selection process in each LEACH cycle. Based on the results of testing, the application of the LEACH algorithm can increase network lifetime. The LEACH algorithm with 70 data snippets is an optimal state that results in a network lifetime of 7,387 seconds, whereas with the same number of data snippets when using a non-LEACH algorithm the network lifetime can only reach 5,565 seconds.

Klasifikasi Curah Hujan Menggunakan Neuro-Fuzzy System Melalui Citra Radar Cuaca Bagaskara Ilham Abadi; Raden Sumiharto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 11, No 1 (2021): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijeis.57980

Rainfall intensity can be measured one of them through the reading of the reflectivity of raindrops on the weather radar. Reflectivity values are represented through colors in the visualization of two-dimensional radar images. Based on several approaches to the classification of weather conditions through radar data that has been successfully carried out, a system is designed to classify rainfall according to weather conditions in an area by utilizing weather radar imagery.The system implementation is carried out in several stages, namely pre-processing, feature extraction and labeling, and classification. Pre-processing is done to visualize radar data from Yogyakarta Climatology Station into a two-dimensional image. After capturing features using the RGB and HSV methods and labeling the rain class, classification is performed using the Neuro-fuzzy algorithm with the Adaptive Neuro-fuzzy Inference System (ANFIS) architecture. The results showed that the Neuro-fuzzy System algorithm was able to classify rainfall better on the RGB feature with an accuracy of 85.02% and a precision of 86.19%, while for the HSV feature the accuracy was 82.68%, 86.67% precision.

Sistem Pemantauan Pertumbuhan Anggrek Berdasarkan Pengolahan Citra Digital Magnolia Gina Ro'fataka Satriorini; Raden Sumiharto; Roghib Muhammad Hujja
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 12, No 2 (2022): Oktober
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijeis.77893

Growth monitoring and plant protectionis the major aspect of horticulture because its productivity depends on the health of the plants. Manual direct measurement methods tend to be destructive towards observed plants. In this research, a smart non-contact growth monitoring system was implemented on a chamber with orchid plants asthe objectsobserved. The images of the orchids were taken and became the input of the system to be processed to estimate the height of the plants.The contour of the orchid plant as the object was obtained and the height was calculated based on the highest and the lowest contour.The result shows that the developed system is proven to be capable of measuring orchid’s height in real-time with accuracy more than 95,7%. Thus, this system will effectively help farmers to improve the quality and the quantity of the plant’s productivity.

Klasifikasi Suara Untuk Memonitori Hutan Berbasis Convolutional Neural Network Rizqi Fathin Fadhillah; Raden Sumiharto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 13, No 1 (2023): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijeis.79536

Forest has an important role on earth. The need to monitor forest from illegal activities and the types of animals in there is needed to keep the forest in good condition. However, the condition of the vast forest and limited resource make direct forest monitoring by officer (human) is limited. In this case, sound with digital signal processing can be used as a tool for forest monitoring. In this study, a system was implemented to classify sound on the Raspberry Pi 3B+ using mel-spectrogram. Sounds that classified are the sound of chainsaw, gunshot, and the sound of 8 species of bird. This study also compared pretrained VGG-16 and MobileNetV3 as feature extractor, and several classification methods, namely Random Forest, SVM, KNN, and MLP. To vary and increase the number of training data, we used several types of data augmentation, namely add noise, time stretch, time shift, and pitch shift. Based on the result of this study, it was found that the MobileNetV3-Small + MLP model with combined training data from time stretch and time shift augmentation provide the best performance to be implemented in this system, with an inference duration of 0.8 seconds; 93.96% accuracy; and 94.1% precision.

Co-Authors Abdul Majid Abdul Rokhman As Syukur Adrianus Prima Manggala Agus Harjoko Agus Harjoko Ali Akbar Farghani Ardya Yunita Putri Bagaskara Ilham Abadi Bakhtiar Alldino Ardi Sumbodo Dien Rahmawati Dwindawan Holandrio Dwitiya Bagus Widyantara Dyah Aruming Tyas Dyah Aruming Tyas Farida Dewanti Fredy Aga Nugroho Hujja, Roghib Muhammad Ika Candradewi Intan Nur Fadliilah Khaula Nurul Hakim Kholid Mukhtar Lukman Awaludin Lutfi Ardiyanto Magnolia Gina Ro'fataka Satriorini Mahendra Budi Nugraha Muhamad Ilham Aji Vachroni Muhammad Miftahul Amri Muhammad Naufal Zul Hazmi Muhammad Shahid Ardi Phisca Aditya Rosyady Praja Sapta Ardiantara Rangga Kurniawan Ladioktaviagusdi Rif’Atunnisa Rif’Atunnisa Rindi Kusumawardani Rizqi Fathin Fadhillah Roghib Muhammad Hujja Rosyidatul Ilma Satrio Firmansyah Satrio Sani Sadewo Setyawan Bekti Wibowo Tri Kuntoro Priyambodo Unggul Wahyu Tri Purnomo Putro Zaki Hamizan

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