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ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika
Published by Institut Teknologi Nasional Bandung
ISSN : 23388323     EISSN : 24599638     DOI : -
Core Subject : Engineering,
Electrical & Electronics Engineering Engineering
Jurnal ELKOMIKA diterbitkan 3 (tiga) kali dalam satu tahun pada bulan Januari, Mei dan September. Jurnal ini berisi tulisan yang diangkat dari hasil penelitian dan kajian analisis di bidang ilmu pengetahuan dan teknologi, khususnya pada Teknik Energi Elektrik, Teknik Telekomunikasi, dan Teknik Elektronika.
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Articles 19 Documents
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Search results for , issue "Vol 9, No 4: Published October 2021" : 19 Documents clear
Shadowing and Mobility Effect on Proactive and Reactive Routing Protocol in MANET ISTIKMAL, ISTIKMAL; HADIYOSO, SUGONDO; IRAWATI, INDRARINI DYAH; IRAWAN, ARIF INDRA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 4: Published October 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i4.966

Abstract

ABSTRAKPada makalah ini, kami membandingkan protokol routing proaktif Optimized Link State Routing (OLSR) dan protokol routing reaktif Ad-hoc on-demand distance vector (AODV) dan Dynamic Source Routing (DSR) pada model propagasi Shadowing dan pergerakan pada mobile adhoc network (MANET). Terdapat dua skenario pengujian, yaitu dampak dari kecepatan pergerakan pengguna dan variasi waktu jeda pengguna dengan mobilitas Random Way Point (RWP). Hasil simulasi menunjukkan bahwa semakin besar kecepatan maka kinerja throughput akan menurun, sedangkan delay dan Normalized Routing Load (NRL) akan meningkat. Semakin lama waktu jeda, semakin lama topologi berubah, akibatnya parameter throughput meningkat sedangkan delay end-to-end dan NRL menurun. OLSR proaktif menunjukkan kinerja terbaik dibandingkan dengan protokol lain berdasarkan parameter throughput, sedangkan AODV reaktif mengungguli penundaan end-to-end dan parameter NRL.Kata kunci: Protokol perutean, shadowing, Mobility, MANET ABSTRACTIn this paper, we compared the proactive routing protocols Optimized Link State Routing (OLSR) and the reactive routing protocols Ad-hoc on-demand distance vector (AODV) and Dynamic Source Routing (DSR) in shadowing propagation and mobility model on mobile adhoc network (MANET). There are two test scenarios, such as the impact of user movement velocity and variations in user pause time with Random Way Point (RWP) mobility. In user velocity testing, the greater the speed, the throughput performance will decrease, while the delay and Normalized Routing Load (NRL) will increase. The pause time test describes the dynamics of changing network topology. The longer the pause time, the longer the topology changes, as a result, the throughput parameter increases while the end-to-end delay and NRL decrease. The proactive OLSR shows the best performance compared to other protocols based on throughput parameters, while the reactive AODV outperforms for end-to-end delay and NRL parameters.Keywords: routing protocol, shadowing, Mobility, MANET
HiVAD : A Voice Activity Detection Application Based on Deep Learning FARIDH, MUHAMMAD HILMI; ZULPRATITA, ULIL SURTIA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 4: Published October 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i4.856

Abstract

ABSTRAKDalam tulisan ini, deteksi aktivitas suara disajikan pada smartphone secara realtime dengan jaringan saraf konvolusional. Pengurangan waktu komputasi adalah masalah dari studi sebelumnya. Meskipun telah menggunakan pendekatan machine learning, masih banyak kekurangan dari penelitian sebelumnya. Citra sinyal suara dihasikan oleh spektrogram energi log-mel, kemudian citra sinyal suara diinputkan ke dalam deep learning CNN untuk mengklasifikasi suara manusia dan derau. HiVAD mengungguli persentase metode VAD lainnya yaitu G729B, Sohn, dan RF dari hasil tes yang ditunjukkan dengan akurasi rata-rata SHR sebesar 15,89%, 28,98%, 42,13% pada tingkat 0dB, 8,67%, 16,29%, 17,63% pada tingkat 5 dB, dan 1,35%, 7,72%, 5,14% pada tingkat 10 dB. Selain itu, mekanisme Multi-threading memungkinkan komputasi yang efisien untuk waktu secara realtime. Penelitian ini menunjukkan bahwa arsitektur CNN pada HiVAD secara signifikan meningkatkan akurasi deteksi aktivitas suara.Kata kunci: aplikasi VAD, voice detection, deep learning, CNN ABSTRACTIn this paper, the detection of sound activity is presented on smartphones in realtime with convolutional neural networks. Reduced computing time is a problem from previous studies. Despite the use of machine learning approaches, there are still many shortcomings from previous research. A log-mel energy spectrogram narrates the sound signal image. Then the sound signal image is inputted into CNN's deep learning to classify the human voice and noise. HiVAD outperformed the percentage of other VAD methods, namely G729B, Sohn, and RF from the test results shown with an average SHR accuracy of 15.89%, 28.98%, 42.13% at 0dB, 8.67%, 16.29% ,17.63% at 5 dB, and 1.35%, 7.72%, 5.14% at 10 dB. In addition, the Multi-threading mechanism enables efficient computing for real-time. This study shows that CNN's architecture on HiVAD significantly improves the accuracy of sound activity detection.Keywords: VAD App, voice detection, deep learning, CNN
Kendali Formasi Mobile Robot berdasarkan Jarak menggunakan Algoritma Cosinus ROHMAN, ANGGORO DWI NUR; MUSLIM, MUHAMMAD AZIZ; SISWOJO, BAMBANG
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 4: Published October 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i4.913

Abstract

ABSTRAKKendali formasi adalah topik penelitian kendali multi-robot, dimana sekelompok robot dapat mencapai formasi tertentu dan mempertahankannya ketika berpindah ke arah yang diinginkan. Salah satu pengembangan kendali formasi adalah kendali formasi berdasarkan jarak dimana setiap individu robot menggunakan informasi jarak antara sesamanya untuk mencapai tujuan formasi. Banyak pengembangan yang dilakukan pada kendali formasi berdasarkan jarak menggunakan model yang sederhana dan membutuhkan pengembangan lebih lanjut untuk penerapan kendali ke model yang lebih nyata. Ketika penerapan kendali formasi berdasarkan jarak, terdapat permasalahan kondisi awal yaitu robot tidak dapat menentukan koordinat tetangganya. Penelitian ini akan mengembangkan algoritma cosinus sebagai solusi untuk kondisi awal kendali formasi berdasarkan jarak. Algoritma cosinus terinspirasi dari rumus segitiga sederhana dan mengharuskan robot melakukan dua langkah saja untuk dapat menemukan koordinat tetangganya. Hasil percobaan simulasi, kendali formasi berdasarkan jarak menggunakan tiga model robot holonomic dan penerapan algoritma cosinus membutuhkan waktu rata-rata 6.5 detik untuk menemukan koordinat tetangganya.Kata kunci: Kendali Formasi, Multi-Robot, Algoritma Cosinus, Mobile Robot. ABSTRACTFormation control is a research topic of multi-robot control, where a group of robots can reach a certain formation and defend it when moving in the desired direction. One of the developments is distance-based where formation goals achieved using the distance between each other only. Many developments are using a simple model and need further development into a realistic model. When applying distance-based, there is a problem in the initial condition, namely that the robot cannot find the coordinates of its neighbors when using only distance. In this work, the cosine algorithm was developed as a solution to the initial conditions which are inspired by a simple triangle formula and need only two steps to find the coordinates. From simulation experiment results, distance-based formation control using three holonomic robot models and the application of the cosine algorithm takes an average of 6.5 seconds to find the coordinates of its neighbors.Keywords: Formation Control, Multi-robot, Cosine Algorithm, Mobile Robot.
Strategi Implementasi Adaptive Neuro Fuzzy Inference System (ANFIS) pada Kendali Motor Induksi 3 Fase Metode Vektor-Tidak Langsung FAKHRUDDIN, HANIF HASYIER; TOAR, HANDRI; PURWANTO, ERA; OKTAVIANTO, HARY; BASUKI, GAMAR; APRIYANTO, RADEN AKBAR NUR; MUNTASHIR, ABDILLAH AZIZ
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 4: Published October 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i4.786

Abstract

ABSTRAKKendali vektor merupakan solusi terbaik dalam kendali motor induksi untuk meningkatkan karakter dinamis dan efisiensinya. Pada penelitian ini, sebuah kendali kecepatan PID dipadukan dengan Adaptive Neuro Fuzzy Inference System (ANFIS) untuk meningkatkan keandalan pada berbagai kecepatan acuan. Metode cerdas Particle Swarm Optimization (PSO) digunakan untuk optimasi dataset ANFIS. Pengujian keandalan dilakukan dengan membandingkan PID konvensional dengan PID-ANFIS pada motor induksi 3 fase berdaya 2HP. Validasi penelitian dilakukan melalui simulasi di platform LabView. PID-ANFIS membuktikan hasil yang jauh lebih baik dari kendali PID konvensional pada berbagai kecepatan acuan. Pemilihan rise time tercepat sebagai fungsi fitness menghasilkan kendali yang memiliki dead time dan rise time 1.5x lebih cepat. PID-ANFIS berhasil menghilangkan undershoot dan osilasi steady state ketika uji kecepatan tinggi.Kata kunci: Kendali Vektor, Adaptive Neuro Fuzzy Inference System, Particle Swarm Optimization, LabView ABSTRACTVector control is the best solution in induction motor control to enhance its dynamic character and efficiency. In this research, a PID speed controller is combined with the Adaptive Neuro-Fuzzy Inference System (ANFIS) to enhance reliability at various reference speeds. The intelligent method Particle Swarm Optimization (PSO) is used to optimize the ANFIS dataset. Reliability testing is done by comparing conventional PID with PID-ANFIS on a 2HP 3-phase induction motor. The research validation was carried out through a simulation on the LabView platform. The PID-ANFIS proved significantly better results than conventional PID control at a wide range of reference speeds. Selection of the fastest rise time as a fitness function results in a control that has a dead time and a rise time of 1.5x faster. PID-ANFIS successfully negates undershoot and steadystate oscillations during high-speed tests.Keywords: Vector Control, Adaptive Neuro Fuzzy Inference System, Particle Swarm Optimization, LabView
Pengadukan Pupuk Cair Otomatis Berbasis Mikrokontroler pada Sistem Fertigasi Pintar ROSMA, ISWADI HASYIM; SUKMA, DIAN YAYAN; SARE, SATRIA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 4: Published October 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i4.827

Abstract

ABSTRAKPengadukan pupuk cair secara manual memiliki kekurangan, yaitu rendahnya akurasi campuran hanya sekitar 50% sehinggga dibutuhkannya pengadukan pupuk otomatis untuk meningkatkan akurasi campuran pupuk dan air. Tujuan penelitian ini adalah untuk melakukan perancangan, pembuatan, serta analisis sistem pengadukan pupuk otomatis berbasis mikrokontroler. Bagian dari sistem pengaduk pupuk dibagi menjadi dua bagian utama. Bagian pertama adalah komponen mekanik yang terdiri dari tangki air, tangki pupuk cair, dan motor pengaduk. Sedangkan bagian kedua adalah sistem kendali berupa mikrokontroler arduino untuk mengatur volume air, volume pupuk cair, dan lama pengadukan. Dari hasil pengujian didapatkan bahwa keberhasilan pencampuran pupuk cair EM4 adalah sebesar 99,561%, sedangkan untuk pupuk hijau sebesar 98,551%. Sebagai kesimpulan, sistem fertigasi pintar yang dibangun dapat beroperasi dengan baik dan akurasi diatas 90%.Kata kunci: Sistem Fertigasi, Arduino, Pengadukan, Pupuk cair, Air ABSTRACTManual mixing of liquid fertilizers has drawbacks, namely the low accuracy of the mixture, only about 50%, so that automatic fertilizer mixing is needed to increase the accuracy of the fertilizer and water mixture. The purpose of this study was to design, manufacture, and analyze a microcontroller-based automatic fertilizer mixing system. The part of the fertilizer mixing system is divided into two main parts. The first part is a mechanical component consisting of a water tank, a liquid fertilizer tank, and a stirrer motor. While the second part is a control system in the form of an Arduino microcontroller to regulate the volume of water, the volume of liquid fertilizer, and the stirring time. From the test results, it was found that the success of mixing EM4 liquid fertilizer was 99.561%, while for green manure it was 98.551%. In conclusion, the smart fertigation system built can operate well and the accuracy is above 90%.Keywords: Fertigation System, Arduino, Stirring, Liquid Fertilizer, Water
Immersion Duration Effect of Purple Leaf Extract (Graptophllum Pictum) on DSSC SANTHIARSA, I GUSTI NGURAH NITYA; JAYA, KOMANG ALIT KUMARA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 4: Published October 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i4.867

Abstract

ABSTRAKSalah satu sumber energi terbarukan yang dapat digunakan sebagai energi alternatif adalah energi matahari. Teknologi sel surya generasi ke-3 adalah Dye Sensitized Solar Cell (DSSC) yang dapat mengonversi sinar matahari menjadi listrik. Daun ungu merupakan daun yang tersebar di Indonesia yang juga merupakan daun yang ekonomis. Pada penelitian ini ekstrak pucuk daun ungu digunakan sebagai pewarna sensitizer yang diekstraksi dengan alkohol 96% dengan rasio campuran 20 gram pucuk daun ungu yang telah ditumbuk hingga halus dengan alkohol 50 ml, kemudian dilakukan perendaman dengan variasi perendaman 12, 24, dan 36 jam. Tujuan penelitian ini adalah untuk mengetahui pengaruh waktu perendaman terhadap tegangan yang dihasilkan oleh DSSC. Hasil arus tertinggi diperoleh pada variasi perendaman 36 jam sebesar 0,8 μA. Perendaman selama 12 jam sebesar 0,6 μA dan perendaman 24 jam sebesar 0,7 μA.Kata kunci: DSSC, daun ungu, sel surya, lama perendaman. ABSTRACTOne of the renewable energy sources that can be used as alternative energy is solar energy. The 3rd generation solar cell technology is Dye Sensitive Solar Cell (DSSC) which can convert sunlight into electricity. Purple leaves are leaves that are scattered in Indonesia which are also economical leaves. In this study, purple leaf shoot extract was used as a sensitizer dye extracted with 96% alcohol with a mixture ratio of 20 grams of purple leaf shoots that had been ground until smooth with 50 ml alcohol, then soaking was carried out with immersion variations of 12, 24, and 36 hours. The purpose of this study was to determine the effect of immersion time on the stress generated by the DSSC. The highest current results were obtained in the 36 hours immersion variation of 0.8 μA. Immersion for 12 hours was 0.6 μA and immersion for 24 hours was 0.7 μA.Keywords: DSSC, purple leaf, solar cell, immersion duration.
Sistem Kendali Eddy Current Brakes Dinamometer menggunakan Linear Quadratic Regulator (LQR) ARROFIQ, MUHAMMAD; NUGROHO, LUKMAN SIDIQ; FAHMIZAL, FAHMIZAL; APRIASKAR, ESA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 4: Published October 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i4.923

Abstract

ABSTRAKMakalah ini memberikan analisis perbandingan antara teknik kendali klasik yaitu kendali PID dengan teknik kendali modern pada sistem Eddy current brakes dinamometer. Eddy current brakes merupakan sistem pengereman modern yang membutuhkan sebuah sistem kendali untuk menunjang kinerja pengereman. Selama ini kendali PID lebih sering digunakan, namun di beberapa kondisi dinilai kurang optimal. Dengan demikian, diperlukan pengembangan kendali yang modern dan optimal yaitu full state feedback Linear Quadratic Regulator (LQR). Perbandingan respon waktu pengereman disimulasikan menggunakan Matlab/Simulink. Hasil simulasi menunjukkan respon waktu pengereman pada kendali LQR lebih baik dibandingkan dengan kendali PID, dengan Ts = 2.12 detik, Tr = 1.18 detik, dan tanpa overshoot. Adapun kendali PID, meskipun menghasilkan Ts = 0.27 detik dan Tr = 0.18 detik, namun demikian masih terdapat overshoot sebesar 0.7%.Kata kunci: Eddy brakes, PID, LQR, Matlab ABSTRACTThis paper provides a comparative analysis between PID control as a classical control technique and modern control technique in the dinamometer Eddy current brakes system. Eddy current brakes is a modern braking system that requires a control system to support the braking performance. PID control is often used to be implemented but in some conditions it is less optimal. Therefore, it is necessary to develop a modern and optimal control, such as a full state feedback Linear Quadratic Regulator (LQR). The comparison of the braking time responses were simulated using Matlab/Simulink. The simulation results show that the response of LQR control is better than the PID, with Ts = 2.12 seconds, Tr = 1.18 seconds, and without overshoot. On the other side, PID control, although having Ts = 0.27 seconds and Tr = 0.18 seconds, there is still an overshoot about 0.7%.Keywords: Eddy brakes, PID, LQR, Matlab
Kendali Robot Spray Disinfektan Otomatis APRIANI, YOSI; ANWAR, WIWIN ARMOLDO OKTAVIANI; SUARNI, ERTATI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 4: Published October 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i4.800

Abstract

ABSTRAKPenyebaran Covid-19 dapat diminimalisir dengan bebeberapa cara diantaranya penyemprotan antiseptik. Tujuan penelitian ini menghasilkan robot yang berguna meminimalisir penyebaran Covid-19 dengan sistem kontrol otomatis menggunakan Arduino Uno R3 serta panel surya yang dikoneksikan dengan sistem IoT (Internet Of Things). Penelitian ini menggunakan metode penelitian yang terdiri dari empat tahapan: 1). Mendesain (merancang) alat, 2). Tahapan pembuatan alat, 3). Tahapan ujicoba alat, 4) Tahapan analisis alat. Ketika ada benda yang berada pada titik atau jarak tertentu maka sensor ultrasonik akan mendeteksinya dan akan mengirimkan sinyal ke mikrokontroler selanjutnya robot akan bekerja kembali seuai perintah dari android. Hasil pengujian saat ada obstacle dengan nilai v= 11,40 Volt di dapat nilai acuan pengukuran dan nilai hasil pengkuruan memiliki nilai rentang error tertinggi pada saat nilai acuan 55 cm dan nilai hasil pengukuran 52 cm. Pengujian RPM pada roda kiri posisi (maju) nilai tertinggi sebesar 40,0 RPM dan roda kanan 39,7 RPM.Kata kunci: Arduino, robot, android, IoT, Covid-19, panel surya ABSTRACTThe spread of Covid-19 can be minimized in several ways, including spraying antiseptics. The purpose of this research is to produce a robot that is useful for minimizing the spread of Covid-19 with an automatic control system using Arduino Uno R3 and solar panels that are connected to the IoT (Internet Of Things) system. This study uses a research method consisting of four stages: 1). Designing (designing) tools, 2). Stages of making tools, 3). Stages of testing tools, 4) Stages of tool analysis. When there is an object that is at a certain point or distance, the ultrasonic sensor will detect it and will send a signal to the microcontroller then the robot will work again according to the command from the android. The test results when there is an obstacle with a value of v = 11.40 Volts the measurement reference value is obtained and the measurement result value has the highest error range value when the reference value is 55 cm and the measurement value is 52 cm. RPM testing on the left wheel position (forward) the highest value of 40.0 RPM and the right wheel 39.7 RPM.Keywords: Arduino, robot, android, IoT, Covid-19, solar panels
Indeks Subjeks dan Indeks Pengarang -, - INDEKS
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 4: Published October 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i4.%p

Abstract

Indeks Subjeks dan Indeks Pengarang

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