TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika最新文献

HUMAN ACTIVITY RECOGNITION IMPROVEMENT ON SMARTPHONE ACCELEROMETERS USING CIMA 利用 Cima 改进智能手机加速度计的人类活动识别能力

TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Pub Date : 2024-02-02 DOI: 10.25124/tektrika.v8i2.6973

Aji Gautama Putrada, M. Abdurohman, Doan Perdana, H. Nuha

{"title":"HUMAN ACTIVITY RECOGNITION IMPROVEMENT ON SMARTPHONE ACCELEROMETERS USING CIMA","authors":"Aji Gautama Putrada, M. Abdurohman, Doan Perdana, H. Nuha","doi":"10.25124/tektrika.v8i2.6973","DOIUrl":"https://doi.org/10.25124/tektrika.v8i2.6973","url":null,"abstract":"Human activity recognition (HAR) is a research field that focuses on detecting user activities and has wide applications. However, the problems that need to be solved are real-time constraints and imbalanced datasets due to different activity frequencies. Our research aims to apply classification integrated moving averages (CIMA) to HAR by evaluating its performance regarding real-time constraints and imbalanced datasets. We achieved the smartphone accelerometer dataset from Kaggle, which consists of several activities: walking, jogging, climbing, and descending stairs. We develop a general CIMA windowing algorithm with hyperparameters J and W. We benchmark CIMA with two state-of-the-art HAR methods: distributed online activity recognition system (DOLARS) and convolutional neural network (CNN). We conducted some imbalance and model size analysis. The test results show that, with J = 10 and W = 240, CIMA performs better than DOLARS and CIMA with recall, precision, and f1-score of 0.996, 0.993, and 0.994. We also prove that CIMA, assisted by quantization, has the smallest model size compared to the CNN and DOLARS model sizes. Finally, we demonstrate that CIMA performs well for imbalanced datasets, where CIMA’s recall on upstairs and downstairs activities is better than DOLARS and CNN, with values of 1.00 and 0.98, respectively. Key Words: classification integrated moving average, human activity recognition, smartphone, accelerometer, imbalanced dataset","PeriodicalId":167949,"journal":{"name":"TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika","volume":"49 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139869927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DESIGN AND IMPLEMENTATION OF REAL-TIME NON-LINEAR DYNAMIC SIMULATION OF FIGHTER AIRCRAFT ON MULTICORE PROCESSOR 多核处理器上战斗机实时非线性动态模拟的设计与实现

TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Pub Date : 2024-02-02 DOI: 10.25124/tektrika.v8i2.6902

Muhammad Faris Fathoni, S. Sutiyo

{"title":"DESIGN AND IMPLEMENTATION OF REAL-TIME NON-LINEAR DYNAMIC SIMULATION OF FIGHTER AIRCRAFT ON MULTICORE PROCESSOR","authors":"Muhammad Faris Fathoni, S. Sutiyo","doi":"10.25124/tektrika.v8i2.6902","DOIUrl":"https://doi.org/10.25124/tektrika.v8i2.6902","url":null,"abstract":"Simulation is a system to imitate the operation of various kinds of real-world facilities or processes for training, behavior study or entertainment purposes. Some implementation of fighter aircraft simulation is done sequentially using FORTRAN and MATLAB / Simulink. On the other hand, a multicore (parallel) computer system has been in the personal computer environment, so the multicore computing paradigm should be considered. Intel Threading Building Blocks (TBB) library need to be utilized in multicore programming. This paper discusses the design and implementation of real-time nonlinear dynamic simulation of fighter aircraft on multicore processor. The aircraft model used in this study is F16 data. Implementation of the simulation code is written in C++ with Intel TBB, OpenGL, Open Scene Graph, and Open Dynamic Engine library. The testing results of non-linear dynamics simulation of fighter aircraft show that the speedup on an Intel Core 2 Duo processor is 1.1776 x for elevator doublet input (short period), while speedup on an Intel i7 is 1.5405 x for rudder doublet input (dutch roll). Key Words: multicore computing, real-time simulation, nonlinear dynamic, fighter aircraft model","PeriodicalId":167949,"journal":{"name":"TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika","volume":"38 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139871794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

HUMAN ACTIVITY RECOGNITION IMPROVEMENT ON SMARTPHONE ACCELEROMETERS USING CIMA 利用 Cima 改进智能手机加速度计的人类活动识别能力

TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Pub Date : 2024-02-02 DOI: 10.25124/tektrika.v8i2.6973

Aji Gautama Putrada, M. Abdurohman, Doan Perdana, H. Nuha

{"title":"HUMAN ACTIVITY RECOGNITION IMPROVEMENT ON SMARTPHONE ACCELEROMETERS USING CIMA","authors":"Aji Gautama Putrada, M. Abdurohman, Doan Perdana, H. Nuha","doi":"10.25124/tektrika.v8i2.6973","DOIUrl":"https://doi.org/10.25124/tektrika.v8i2.6973","url":null,"abstract":"Human activity recognition (HAR) is a research field that focuses on detecting user activities and has wide applications. However, the problems that need to be solved are real-time constraints and imbalanced datasets due to different activity frequencies. Our research aims to apply classification integrated moving averages (CIMA) to HAR by evaluating its performance regarding real-time constraints and imbalanced datasets. We achieved the smartphone accelerometer dataset from Kaggle, which consists of several activities: walking, jogging, climbing, and descending stairs. We develop a general CIMA windowing algorithm with hyperparameters J and W. We benchmark CIMA with two state-of-the-art HAR methods: distributed online activity recognition system (DOLARS) and convolutional neural network (CNN). We conducted some imbalance and model size analysis. The test results show that, with J = 10 and W = 240, CIMA performs better than DOLARS and CIMA with recall, precision, and f1-score of 0.996, 0.993, and 0.994. We also prove that CIMA, assisted by quantization, has the smallest model size compared to the CNN and DOLARS model sizes. Finally, we demonstrate that CIMA performs well for imbalanced datasets, where CIMA’s recall on upstairs and downstairs activities is better than DOLARS and CNN, with values of 1.00 and 0.98, respectively. Key Words: classification integrated moving average, human activity recognition, smartphone, accelerometer, imbalanced dataset","PeriodicalId":167949,"journal":{"name":"TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika","volume":"7 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139809723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DESIGN AND IMPLEMENTATION OF REAL-TIME NON-LINEAR DYNAMIC SIMULATION OF FIGHTER AIRCRAFT ON MULTICORE PROCESSOR 多核处理器上战斗机实时非线性动态模拟的设计与实现

TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Pub Date : 2024-02-02 DOI: 10.25124/tektrika.v8i2.6902

Muhammad Faris Fathoni, S. Sutiyo

{"title":"DESIGN AND IMPLEMENTATION OF REAL-TIME NON-LINEAR DYNAMIC SIMULATION OF FIGHTER AIRCRAFT ON MULTICORE PROCESSOR","authors":"Muhammad Faris Fathoni, S. Sutiyo","doi":"10.25124/tektrika.v8i2.6902","DOIUrl":"https://doi.org/10.25124/tektrika.v8i2.6902","url":null,"abstract":"Simulation is a system to imitate the operation of various kinds of real-world facilities or processes for training, behavior study or entertainment purposes. Some implementation of fighter aircraft simulation is done sequentially using FORTRAN and MATLAB / Simulink. On the other hand, a multicore (parallel) computer system has been in the personal computer environment, so the multicore computing paradigm should be considered. Intel Threading Building Blocks (TBB) library need to be utilized in multicore programming. This paper discusses the design and implementation of real-time nonlinear dynamic simulation of fighter aircraft on multicore processor. The aircraft model used in this study is F16 data. Implementation of the simulation code is written in C++ with Intel TBB, OpenGL, Open Scene Graph, and Open Dynamic Engine library. The testing results of non-linear dynamics simulation of fighter aircraft show that the speedup on an Intel Core 2 Duo processor is 1.1776 x for elevator doublet input (short period), while speedup on an Intel i7 is 1.5405 x for rudder doublet input (dutch roll). Key Words: multicore computing, real-time simulation, nonlinear dynamic, fighter aircraft model","PeriodicalId":167949,"journal":{"name":"TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika","volume":"39 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139811649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ANALISIS PERFORMANSI ALAT OTOMASI PENYARINGAN AIR SISA PENCUCIAN SURIMI: STUDI KASUS 分析分析后清洗废水过滤工具的性能:案例研究

TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Pub Date : 2023-04-18 DOI: 10.25124/tektrika.v7i2.5815

Hollanda Arief Kusuma, Unai Sunardi, Sapta Nugraha, Dwi Eny Djoko Setyono

{"title":"ANALISIS PERFORMANSI ALAT OTOMASI PENYARINGAN AIR SISA PENCUCIAN SURIMI: STUDI KASUS","authors":"Hollanda Arief Kusuma, Unai Sunardi, Sapta Nugraha, Dwi Eny Djoko Setyono","doi":"10.25124/tektrika.v7i2.5815","DOIUrl":"https://doi.org/10.25124/tektrika.v7i2.5815","url":null,"abstract":"The aim of this research is to develop an automated instrument for filtering surimi washing wastewater. The tool consists of a water suction system, a filtration system using a plankton net, and temperature sensors DS18B20 and distance sensors JSN-SRT04. The results show that the automated surimi washing wastewater filtering instrument has been successfully developed and can produce 343 grams and 199 grams of filtered meat from 1 kg of meat in two trials. The water turbidity data before and after the filtration process also shows that the instrument can reduce turbidity by 88% allowing the surimi washing wastewater to be reused. This demonstrates that waste reduction can be applied to this instrument. Data from DS18B20 temperature sensor and JSN-SRT04 distance sensor also show accurate and precise data patterns. DS18B20 calibration shows average error by 2.51%, RMSE by 1.47 ?C, and standard deviation by 0,7 ?C. JSN-SRT04 calibration shows average error by 3.07%, RMSE by 1.99 cm, and standard deviation by 0.45 cm. Therefore, the automated surimi washing wastewater filtering instrument is an effective solution for utilizing surimi washing wastewater and reducing liquid waste. The implementation of this tool would be very beneficial to the surimi processing industry in reducing waste and preserving the environment. This instrument can also be used as a reference for developing other automated instruments in the field of wastewater treatment. Key Words: Surimi, zero waste, acoustic sensor, temperature sensor","PeriodicalId":167949,"journal":{"name":"TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114360907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PREDIKSI PASIEN DENGAN PENYAKIT KARDIOVASKULAR MENGGUNAKAN RANDOM FOREST 心血管疾病患者预测使用随机森林

TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Pub Date : 2023-04-18 DOI: 10.25124/tektrika.v7i2.5279

M. Anshori, Nindynar Rikatsih, M. Haris

{"title":"PREDIKSI PASIEN DENGAN PENYAKIT KARDIOVASKULAR MENGGUNAKAN RANDOM FOREST","authors":"M. Anshori, Nindynar Rikatsih, M. Haris","doi":"10.25124/tektrika.v7i2.5279","DOIUrl":"https://doi.org/10.25124/tektrika.v7i2.5279","url":null,"abstract":"Cardiovascular disease is one of the deadliest diseases in the world. This is evidenced by data released by WHO which shows around 18 million deaths. This disease causes the cessation of the heartbeat which is the main source of life for the human body.This disease is caused by various things including an unhealthy lifestyle. Examples are consuming cigarettes and alcohol. In addition, it is also caused by other factors, namely health problems such as high blood pressure, cholesterol, diabetes, depression, or anxiety. The cardiovascular disease tends to be difficult to cure, therefore a precise and accurate prediction is needed in diagnosing patients. One method of making predictions is using machine learning techniques. In machine learning, there are various methods that can be used, one of which is the decision tree-based method, namely random forest. Before the random forest is implemented to create a model, the data is pre-processed by normalizing and applying cross-validation with k-fold = 10. The prediction results with the random forest in this study provide an accuracy of 98%. This accuracy is higher when compared to previous studies with the same dataset, namely 96.75% using the ensemble method and 91.61% with logistic regression. On this basis, it proves that the random forest can be used to predict cardiovascular disease. \u0000Key Words: cardiovascular disease, tree model, random forest, machine learning.","PeriodicalId":167949,"journal":{"name":"TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127373434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SIMULASI MODEL NAVIGASI MOBILE ROBOT DENGAN PENERAPAN METODE CONTROL LYAPUNOV-BARRIER FUNCTION (CLBF) TERHADAP SISTEM NAVIGASI WAYPOINT 模拟移动导航模型，采用控制字符串导航系统的方法

TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Pub Date : 2022-09-23 DOI: 10.25124/tektrika.v6i2.4127

M. Z. Romdlony, Ridlho Khoirul Fachri, Muhammad Ridho Rosa

{"title":"SIMULASI MODEL NAVIGASI MOBILE ROBOT DENGAN PENERAPAN METODE CONTROL LYAPUNOV-BARRIER FUNCTION (CLBF) TERHADAP SISTEM NAVIGASI WAYPOINT","authors":"M. Z. Romdlony, Ridlho Khoirul Fachri, Muhammad Ridho Rosa","doi":"10.25124/tektrika.v6i2.4127","DOIUrl":"https://doi.org/10.25124/tektrika.v6i2.4127","url":null,"abstract":"Simulasi menjadi bagian penting dalam keberhasilan implementasi metode kontrol sebelum diterapkan pada real plant. Paper ini membahas implementasi metode Control Laypunov-Barrier Function (CLBF) pada model navigasi mobile robot terhadap sistem navigasi waypoint melalui simulasi Matlab. CLBF merupakan kombinasi metode Control Lyapunov Function (CLF) dan Control Barrier Function (CBF) yang memiliki peran untuk menjaga kestabilan dan menjamin keselamatan pada sistem. Pemberian tiga waypoint sebagai navigasi gerak dari model mobile robot berfungsi untuk mengetahui kestabilan sistem, tiga barrier berbentuk lingkaran untuk area yang harus dihindari, dan unsafe state diberikan supaya model navigasi mobile robot tidak menabak barrier, sehingga sistem dikatakan aman. Simulasi yang dilakukan memperlihatkan model navigasi mobile robot yang mampu bergerak menuju beberapa waypoint dengan menghindari tiga barrier dalam waktu yang berbeda, di antaranya dari initial state ke waypoint pertama membutuhkan waktu 7,43 detik, dari waypoint pertama ke waypoint kedua membutuhkan waktu 5,73 detik, dan dari waypoint kedua ke waypoint ketiga membutuhkan waktu 6,75 detik. Penempatan waypoint, barrier, dan unsafe state terhadap bidang dua dimensi yaitu x1 sebagai koordinat x danx2 sebagai koordinat y. \u0000Kata Kunci: control lyapunov-barrier function, simulasi, waypoint","PeriodicalId":167949,"journal":{"name":"TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132766506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PENERAPAN METODE KENDALI CONTROL LYAPUNOV-BARRIER FUNCTION (CLBF) PADA MODEL QUADCOPTER 采用四轴飞行器上的LYAPUNOV-BARRIER FUNCTION控制方法

TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Pub Date : 2022-09-23 DOI: 10.25124/tektrika.v6i2.4148

Farhan Dwi Cahyo, Muhammad Zakiyullah Romdlony, Muhammad Ridho Rosa

引用次数: 0

ANALISIS KINERJA ALGORITMA PEMILIHAN PENGGUNA DENGAN KOMPLEKSITAS RENDAH BERBASIS KOMBINASI ROUND-ROBIN PADA SISTEM MASSIVE MIMO 基于广泛MIMO系统的低复杂性组合的用户选择算法分析

TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Pub Date : 2022-09-23 DOI: 10.25124/tektrika.v6i2.4072

Rayhan Nauvaldi, Nachwan Mufti Adriansyah, D. Setiawan, R. Astuti

{"title":"ANALISIS KINERJA ALGORITMA PEMILIHAN PENGGUNA DENGAN KOMPLEKSITAS RENDAH BERBASIS KOMBINASI ROUND-ROBIN PADA SISTEM MASSIVE MIMO","authors":"Rayhan Nauvaldi, Nachwan Mufti Adriansyah, D. Setiawan, R. Astuti","doi":"10.25124/tektrika.v6i2.4072","DOIUrl":"https://doi.org/10.25124/tektrika.v6i2.4072","url":null,"abstract":"Sistem komunikasi generasi kelima (5G) menuntut kinerja yang lebih tinggi dari generasi sebelumnya. Sistem Massive Multiple Input Multiple Output (MIMO) muncul sebagai solusi untuk mengatasi generasi sebelumnya yang tidak dapat memenuhi permintaan data dalam jumlah besar. Penggunaan Massive MIMO ini memungkinkan diciptakannya multiple beam sehingga throughput dapat meningkat lebih besar daripada generasi sebelumnya. Sistem Base Station (BS) dengan banyak antena tidak dapat melayani pengguna dalam jumlah besar secara bersamaan. Maka dari itu sangat penting untuk memilih layanan pengguna yang akan dilayani secara bersamaan dan menentukan jumlah optimal pengguna yang akan dilayani. Penelitian ni mengusulkan algoritma pemilihan layanan pengguna untuk mencapai spektral efisiensi tinggi dan interferensi kecil. Algoritma yang diusulkan adalah Capacity-Based User Selection, Frobenius Norm-Based User Selection, dan Chordal Distance User Selection (CDUS) yang dikombinasikan dengan algoritma Round-Robin (RR). Berdasarkan simulasi yang telah dilakukan, algoritma pemilihan layanan pengguna yang dikombinasikan dengan algoritma RR memberikan kinerja yang baik dalam hal sumrate menggunakan algoritma Capacity-RR dengan nilai 673 bps/Hz, tingkat fairness pada algoritma CDUS-RR memiliki indeks fairness dengan nilai rata-rata 3,29, dan kompleksitas pada algoritma CDUS-RR memiliki rata-rata runtime sebesar 0,62 detik. Hasil penelitian ini diharapkan dapat berkontribusi dalam pengembangan penjadwalan pengguna pada Massive MIMO. \u0000Kata Kunci: : Massive MIMO, capacity-based user selection, frobenius norm-based user selection, chordal distance user selection, round-robin.","PeriodicalId":167949,"journal":{"name":"TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125926948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PENGEMBANGAN SISTEM KENDALI DRONE BERBASIS GCS (GROUND CONTROL STATION), STABILIZE AND OBJECT DETECTION MENGGUNAKAN METODE COLOR FILTERING HSV Pengembangan系统kendali无人机基于GCS(地面控制站)，稳定和目标检测孟古纳坎方法彩色滤波HSV

TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Pub Date : 2022-07-21 DOI: 10.25124/tektrika.v6i1.2671

Muzemil Mil, H. Haryanto, Dian Rahmawati, M. Ulum

{"title":"PENGEMBANGAN SISTEM KENDALI DRONE BERBASIS GCS (GROUND CONTROL STATION), STABILIZE AND OBJECT DETECTION MENGGUNAKAN METODE COLOR FILTERING HSV","authors":"Muzemil Mil, H. Haryanto, Dian Rahmawati, M. Ulum","doi":"10.25124/tektrika.v6i1.2671","DOIUrl":"https://doi.org/10.25124/tektrika.v6i1.2671","url":null,"abstract":"Indonesia merupakan negara maritim dan memiliki hutan yang luas, sudah seharusnya memiliki alat yangcanggih seperti drone untuk memantau setiap pulau dan kebakaran hutan. Dikarenakan alat transportasiudara lebih cepat dibandingkan transportasi darat maupun laut. Drone atau sering dikenal dengan istilahUnmanned Aerial Vehicle (UAV) adalah pesawat udara tanpa awak yang dapat dioperasikan menggunakanremote control maupun Ground Control Station (GCS). Drone yang sudah dilengkapi dengan kamera digunakan dalam membantu dan mempermudah pekerjaan manusia misalnya pengambilan foto dari udara, mengenali dan mendeteksi sebuah objek tertentu dengan memanfaatkan teknik pengolahan citra digital seperti metode color filtering HSV. Dalam pengujian takeoff quadcopter menggunakan GCS / laptop yang dilakukan pada tempat berbeda dengan nilai satcount 9 sampai 21, maka didapatkan tingkat keberhasilan sebesar 93,3%. Pada pengujian deteksi menggunakan objek yang berdimensi 115 cm dengan ketinggian maksimal 15 m, diperoleh keberhasilan 90,9%.Kata Kunci: Indonesia, Drone, Ground control station (GCS), dan Color Filtering.","PeriodicalId":167949,"journal":{"name":"TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika","volume":"291 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126930524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0