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Implementasi Robot Keseimbangan Beroda Dua Berbasis Mikrokontroler BOBBY, GRACE; SUSANTO, ERWIN; SURATMAN, FIKY YOSEP
Jurnal Elkomika Vol 3, No 2 (2015): Jurnal Elkomika
Publisher : Jurnal Elkomika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

  Abstrak Perkembangan dunia robot berkembang pesat dari tahun ke tahun. Salah satu contohnya ialah Segway Personal Transporter. Variasi teknik dalam pergerakan robot pada lingkungan yang dinamik pun semakin banyak, diantaranya Pole-Placement Controller, Fuzzy Logic, Proportional Integrated Derivative Controller (Kontrol PID). Pada penelitian ini Fuzzy Logic akan digunakan sebagai pengontrol robot keseimbangan ini. Pada sistem ini digunakan dua sensor (accelerometer dan gyroscope) untuk mendapatkan pembacaan data yang stabil dan handal. Dari hasil percobaan kalman filter, diperoleh nilai parameter kalman filter yang optimal adalah Qaccelerometer = 0,001 , Qgyroscope = 0,003 dan Rpengukuran = 0,03. Kata kunci: Accelerometer, Gyroscope, Fuzzy Logic, Kalman Filter, Self-balancing Control.   Abstract The development of robots is growing rapidly from year to year. One example is the Segway Personal Transporter. A variety of techniques in the movement of the robot in the dynamic environment became more numerous, including Pole-Placement Controller, Fuzzy Logic, Proportional Integrated Derivative Controller (PID control). In this project, Fuzzy Logic will be used as an balancing robot controller. In this system, used two sensors (accelerometer and gyroscope) to obtain data readout is stable and reliable. From the experimental of Kalman filter, obtained the optimal parameter values of Kalman filter are Qaccelerometer = 0.001, Qgyroscope = 0.003 and Rmeasure = 0.03. Keywords: Accelerometer, Gyroscope, Fuzzy Logic, Kalman Filter, Self-balancing Control.
Analysis of Non Linear Frequency Modulation (NLFM) Waveforms for Pulse Compression Radar Widyantara, Muhamad Ridwan; -, Sugihartono; Suratman, Fiky Y.; Widodo, Slamet; Daud, Pamungkas
Jurnal Elektronika dan Telekomunikasi Vol 18, No 1 (2018)
Publisher : Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v18.27-34

Abstract

Non Linear Frequency Modulation (NLFM) method can suppress the peak sidelobe level without additional windowing function. NLFM doesn’t require any weighting function because it has inbuilt one. NLFM has a variable frequency deviation function due to the relation between frequency and time of the signal which is not linear so that it is possible to suppress of peak sidelobe level. This paper studies the characteristic of various NLFM waveform, such as NLFM Tri Stage Piece Wise (TSPW), NLFM S, and NLFM Taylor. The study of Pulse Compression of NLFM waveform consists of three aspects. First, analysis of pulse compression performance. Second, analysis of background noise. Last, analysis of Doppler effects. The simulation is done using Matlab software. The lowest  value Peak Sidelobe Level (PSL)of NLFM TSPW is about -20 dB while NLFM S and NLFM Taylor are about -32 dB and -39 dB. Additive White Gaussian Noise (AWGN) and Doppler Effect influenced the value of PSL for each NLFM waveform. NLFM Taylor has the best NLFM waveform when the Doppler Effect and AWGN cause the value of PSL become high. Comparison between NLFM Taylor and Linear Frequency Modulation(LFM) is done in radar surveillance applications to analyze the detectability performance where the condition of Radar Cross Section (RCS) for each target has different significant value. The three targets are commercial airplanes, helicopter and fighter. For detectability performance, NLFM Taylor can detect more clearly than LFM conventional.
Deteksi Sinyal : Overview Model Parametrik menggunakan Kriteria Neyman-Pearson SURATMAN, FIKY YOSEF; PRAMUDITA, ALOYSIUS ADYA; ARSENO, DHARU
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 7, No 1 (2019): ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v7i1.14

Abstract

ABSTRAKDeteksi sinyal banyak diimplementasikan dalam sistem pengolahan sinyal yang sangat kompleks. Sebagai contoh digunakan pada sub sistem pengolahan sinyal radar pengintai yang berfungsi untuk deteksi dan pelacakan target. Salah satu implementasi terbaru dari deteksi sinyal adalah untuk fungsi spectrum sensing pada Cognitive Radio. Deteksi sinyal dapat didefinisikan sebagai binary hypothesis testing, yaitu memutuskan satu dari dua keadaan: hanya derau atau tidak ada sinyal (null hypothesis), dan ada sinyal (alternative hypothesis). Teori deteksi sinyal merupakan bidang yang cukup luas, sehingga paper ini fokus pada pendekatan parametrik dengan Teorema Neyman-Pearson. Kedua hypothesis dimodelkan dengan variabel acak dengan distribusi rapat kemungkinan yang sama tetapi mempunyai parameter yang berbeda. Ditunjukkan penurunan test statistic untuk dua skenario, yaitu distribusi dengan diketahui sebagian dan diketahui penuh. Bagian simulasi menunjukkan kinerja detektor sinyal secara analitis mempunyai hasil yang serupa dengan simulasi Monte Carlo.Kata kunci: deteksi sinyal, Neyman-Pearson, hypothesis testing, spectrum sensing, radar. ABSTRACTSignal detection has been used in many sophisticated signal processing systems, such as for signal processing in surveillance radar which is to detect and to track a radar target. Recently, signal detection is widely used for spectrum sensing in Cognitive Radio. Signal detection is a binary hypothesis testing problem which is to choose one out of two conditions, i.e., noise only or signal absence (null hypothesis), and signal presence (alternative hypothesis). Since signal detection theory is a wide area, this paper only focuses on parametric approach using Neyman-Pearson theorem. The two hypotheses are modeled by random variables having the same distribution but different parameters. The derivations of test statistics (detectors) are shown for two scenarios, i.e., partially known and perfectly known distributions. Analytical results and Monte Carlo simulations of the derived detectors show similar performances.Keywords: signal detection, Neyman-Pearson, hypothesis testing, spectrum sensing, radar.
Implementasi Robot Keseimbangan Beroda Dua Berbasis Mikrokontroler BOBBY, GRACE; SUSANTO, ERWIN; SURATMAN, FIKY YOSEP
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 3, No 2 (2015): ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v3i2.142

Abstract

ABSTRAKPerkembangan dunia robot berkembang pesat dari tahun ke tahun. Salah satu contohnya ialah Segway Personal Transporter. Variasi teknik dalam pergerakan robot pada lingkungan yang dinamik pun semakin banyak, diantaranya Pole-Placement Controller, Fuzzy Logic, Proportional Integrated Derivative Controller (Kontrol PID). Pada penelitian ini Fuzzy Logic akan digunakan sebagai pengontrol robot keseimbangan ini. Pada sistem ini digunakan dua sensor (accelerometer dan gyroscope) untuk mendapatkan pembacaan data yang stabil dan handal. Dari hasil percobaan kalman filter, diperoleh nilai parameter kalman filter yang optimal adalah Qaccelerometer = 0,001 , Qgyroscope = 0,003 dan Rpengukuran = 0,03.Kata kunci: Accelerometer, Gyroscope, Fuzzy Logic, Kalman Filter, Self-balancing Control. ABSTRACTThe development of robots is growing rapidly from year to year. One example is the Segway Personal Transporter. A variety of techniques in the movement of the robot in the dynamic environment became more numerous, including Pole-Placement Controller, Fuzzy Logic, Proportional Integrated Derivative Controller (PID control). In this project, Fuzzy Logic will be used as an balancing robot controller. In this system, used two sensors (accelerometer and gyroscope) to obtain data readout is stable and reliable. From the experimental of Kalman filter, obtained the optimal parameter values of Kalman filter are Qaccelerometer = 0.001, Qgyroscope = 0.003 and Rmeasure = 0.03.Keywords: Accelerometer, Gyroscope, Fuzzy Logic, Kalman Filter, Self-balancing Control.
RADAR FMCW DENGAN IQ DEMODULATOR JAMAK UNTUK DETEKSI PERNAFASAN PADA PENGARUH CLUTTER PRATIWI, HANA; HIDAYAT, MUJIB RAMADAN; MAARIF, AHMAD FATHAN; PRAMUDITA, ALOYSIUS ADYA; SURATMAN, FIKY YOSEP
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 8, No 1 (2020): ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v8i1.125

Abstract

ABSTRAK Pada pendeteksian pernafasan menggunakan sistem radar maka adanya pantulan dari sejumlah objek statis di sekitar target akan memberikan pengaruh pada hasil pendeteksian. Modifikasi pada sistem FMCW telah diusulkan untuk memberikan kemampuan dalam mendeteksi pernafasan multi target. Konsep deteksi fasa dilaborasi pada metode usulan untuk menghadirkan kemampuan deteksi pergeseran kecil. IQ demodulator jamak diusulkan sebagai konsep modifikasi pada sistem FMCW untuk permasalah tersebut. Pengujian kemampuan sistem usulan pada kondisi clutter dilakukan dengan melakukan kajian teoritis dan simulasi komputer. Pengujian dilakukan pada kawasan waktu dan kawasan frekuensi. Hasil-hasil yang diperoleh menunjukkan bahwa metode IQ demodulator jamak yang diusulkan memiliki kemampuan dalam mendeteksi pernafasan secara multi target dan mampu mempertahankan kemampuan tersebut pada kondisi adanya clutter. Kata kunci: deteksi pernafasan, multi target, FMCW, IQ demodulator, clutter ABSTRACT In the detection of respiration using a radar system, the reflection of static objects around the target will have an effect to the detection results. Modifications to the FMCW system have been proposed to provide the ability to detect multi-target respiration. The concept of phase detection is elaborated on the proposed method to provide small shift detection capabilities. Multiple IQ demodulator is proposed as a modified concept on the FMCW system for this problem. Testing the ability of the proposed system under clutter conditions is carried out by conducting theoretical studies and computer simulations. Tests carried out in the time zone and frequency region. The results obtained indicate that the proposed multiple-method IQ demodulator has the ability to detect multi-target respiration and is able to maintain that ability in the presence of clutter. Keywords: respiration detection, multi target, FMCW, IQ demodulator, clutter
IMPROVED FMCW RADAR SYSTEM FOR MULTI-TARGET DETECTION OF HUMAN RESPIRATION VITAL SIGN Pratiwi, Hana; Hidayat, Mujib R.; Pramudita, A. A.; Suratman, Fiky Y.
Jurnal Elektronika dan Telekomunikasi Vol 19, No 2 (2019)
Publisher : Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v19.38-44

Abstract

Frequency Modulated Continuous Wave (FMCW) radar system has been developed and applied for various needs. Based on the conventional FMCW radar concept, a large bandwidth is needed to detect small displacements in the chest wall or abdomen related with respiratory activity. To overcome the need for large bandwidths in detecting vital respiratory signs, several improvements to the FMCW system are proposed in this paper. The phase-detection concept has been elaborated in improving the capability of FMCW to detect the small displacement. In developing multi-target detection capability, range detection capability through beat frequency output needs to be combined with the phase-detection method. Theoretical and simulation studies were performed to investigate the concept of combining range detection and phase detection for detecting respiration on multi-target. The results show that the proposed method is well-performed in detecting the multi-target respiration in high noise reflection.
EVALUASI MULTI-ANTENNA BERBASIS PENDEKATAN GLRT PADA COGNITIVE RADIO Mochammad Haldi Widianto; Fiky Yosef Suratman; Bambang Hidayat
Jurnal Elektro dan Telekomunikasi Terapan (e-Journal) Vol 5 No 1: JETT Juli 2018
Publisher : Direktorat Penelitian dan Pengabdian Masyarakat, Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (808.985 KB) | DOI: 10.25124/jett.v5i1.1253

Abstract

Kebutuhan terhadap teknologi nirkabel semakin meningkat, Sementara itu ketersediaan spektrum frekuensi mendekati batasnya. Masalah ini dapat diatasi dengan pemanfaatan spektrum yang masimal. Salah satu teknologi yang dapat memaksimalkan ketersediaan spektrum adalah cognitive radio. Spektrum sensing adalah salah satu komponen yang ada di cognitive radio (CR). Algoritma sensing yang biasanya digunakan adalah deteksi energi. Karena ada beberapa kelemahan pada deteksi energi, yang mana sangat sensitif terhadap daya noise yang tidak menentu. Sehingga dibentuk metode baru berdasarkan pendekatan Generalized likelihood ratio tests (GLRT). Di paper ini analisis spektrum sensing pada cognitive radio berbasis pendekatan GLRT dan deteksi energi. Primary User (PU) menggunakan space-time block coding (STBC) dan kanal menggunakan Geometrically-Based Single Bounce (GBSB). Hasil evaluasi menunjukan beberapa masalah yang mempengaruhi kinerja pendekatan GLRT seperti; jumlah antenna penerima (nR), Skema MIMO STBC, bentuk kanal GBSB, Terakhir algoritma pendekatan GLRT dapat menyelesaikan masalah deteksi energi..
Pengembangan Sistem Pengendali Kursor Menggunakan Sinyal Elektrookulogram (EOG) Hasbian Fauzi Perdana; Fiky Yosef Suratman; Achmad Rizal
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 1 No 2 (2019): August
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v1i2.19

Abstract

Amyotrophic Lateral Sclerosis (ALS) is an illness due to lack of nourishment in human motoric nerves. This illness causes the sufferer a loss in motoric movement. Thankfully there is still an organ that move well regardless the illness, and that is eye movement. Eye tracking method have been applied to controlling computer. Majority of eye tracking methods are divided into two methods, video-oculography (VOG), and electrooculography (EOG). VOG used camera as video recorder and processed using image processing to track eye movement. EOG used skin electrode that were usually used in electrocardiography, which could detect electrical activity on the back of eye. The principle in this research is to design a cursor controlling system using EOG sensor and classified the signal using simple thresholding method. The result would be cursor movement based on eye movement. Purpose of this final assignment is to design a cursor controlling system based EOG sensor. The experimental results yield an accuracy of 98% for the cursor movement controlling. The system can control the direction of the cursor's movement but cannot control other activities of the cursor.
Improved FMCW Radar System for Multi-Target Detection of Human Respiration Vital Sign Hana Pratiwi; Mujib R. Hidayat; A. A. Pramudita; Fiky Y. Suratman
Jurnal Elektronika dan Telekomunikasi Vol 19, No 2 (2019)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v19.38-44

Abstract

Frequency Modulated Continuous Wave (FMCW) radar system has been developed and applied for various needs. Based on the conventional FMCW radar concept, a large bandwidth is needed to detect small displacements in the chest wall or abdomen related with respiratory activity. To overcome the need for large bandwidths in detecting vital respiratory signs, several improvements to the FMCW system are proposed in this paper. The phase-detection concept has been elaborated in improving the capability of FMCW to detect the small displacement. In developing multi-target detection capability, range detection capability through beat frequency output needs to be combined with the phase-detection method. Theoretical and simulation studies were performed to investigate the concept of combining range detection and phase detection for detecting respiration on multi-target. The results show that the proposed method is well-performed in detecting the multi-target respiration in high noise reflection.
Analysis of Non Linear Frequency Modulation (NLFM) Waveforms for Pulse Compression Radar Muhamad Ridwan Widyantara; Sugihartono -; Fiky Y. Suratman; Slamet Widodo; Pamungkas Daud
Jurnal Elektronika dan Telekomunikasi Vol 18, No 1 (2018)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v18.27-34

Abstract

Non Linear Frequency Modulation (NLFM) method can suppress the peak sidelobe level without additional windowing function. NLFM doesn’t require any weighting function because it has inbuilt one. NLFM has a variable frequency deviation function due to the relation between frequency and time of the signal which is not linear so that it is possible to suppress of peak sidelobe level. This paper studies the characteristic of various NLFM waveform, such as NLFM Tri Stage Piece Wise (TSPW), NLFM S, and NLFM Taylor. The study of Pulse Compression of NLFM waveform consists of three aspects. First, analysis of pulse compression performance. Second, analysis of background noise. Last, analysis of Doppler effects. The simulation is done using Matlab software. The lowest  value Peak Sidelobe Level (PSL)of NLFM TSPW is about -20 dB while NLFM S and NLFM Taylor are about -32 dB and -39 dB. Additive White Gaussian Noise (AWGN) and Doppler Effect influenced the value of PSL for each NLFM waveform. NLFM Taylor has the best NLFM waveform when the Doppler Effect and AWGN cause the value of PSL become high. Comparison between NLFM Taylor and Linear Frequency Modulation(LFM) is done in radar surveillance applications to analyze the detectability performance where the condition of Radar Cross Section (RCS) for each target has different significant value. The three targets are commercial airplanes, helicopter and fighter. For detectability performance, NLFM Taylor can detect more clearly than LFM conventional.
Co-Authors -, Sugihartono A. A. Pramudita Achmad Rizal Adinda Mutiara Hakim Adriani Rizka Amalia Agung Chrisyancandra Mobonguni Ali Muayyadi Ali, Erfansyah Aloysius Adya Pramudita Alyani Durrah Fauzan Andika Pradana Arif Wicaksono Angga Rusdinar Angga Wijaya Anhar Ari Widodo Aptadarya, Harwin Arentaka, Fiendo Mahendra Argaloka, Aditya Adni Arif Abdul Aziz Arifyandy, Rachmat Ario Wicaksono ARIS HARTAMAN Aurelia, Felicia Bunga Azhar Sukarna Putra Azhar Yunda Ramadhan Azizah Yusrina Bambang Hidayat Bambang Setia Nugroho Budi Permana Dami Mahardiwana Daud, Pamungkas De Fitrah, Figo Azzam Denny Darlis Dharu Arseno Dhiky Wahyu Santoso Dias Daffa Wiwaha Dien Rahmawati Dimas Mustaqim Dwi Esti Kusumandari Ekki Kurniawan Erwin Susanto Estananto Fadhli Rahman Faishal Adli Fani Fauziah, Fani Farhan Ramadhan FARIED IZZANTAMA NUGRAHA HARSWA Figo Azzam De Fitrah Fikry Lazuardi Fitrah, Figo Azzam De Giashinta Larashati Grace Bobby GRACE BOBBY, GRACE Hana Pratiwi Hasbian Fauzi Perdana Heni Pujiastuti Heroe Wijanto Hidayat, Mujib R. HIDAYAT, MUJIB RAMADAN Hurianti Vidyaningtyas I Wayan Oka Krismawan Putra Ig. Prasetya Dwi Wibawa Imam Darmawan Istiqomah Istiqomah istiqomah istiqomah Jody H, Amadeus Evan Junartho Halomoan Juse Wisman Oktabri Kalfika Yani Khalisa Khairuna Khilda Afifah Kirana, Tsania Puspa Koredianto Usman Krisna Muhammad Luthfi Kurniawan, Bella K. Lyra Vega Ugi M. Reza Raihan N.R MAARIF, AHMAD FATHAN Made Indra Wira Pramana Marchellyn, Ferryn Mochammad Haldi Widianto Mohamad Ramdhani Muhamad Ridwan Widyantara Muhamad Riswan Nurfadilah Muhammad Adi Nurhidayat Muhammad Ary Murti Muhammad Hablul Barri Muhammad Hegi Rinaldi Muhammad Nashih Rabbani Muhammad Zakiyullah Romdlony Mujib R. Hidayat Mumtazanisa Fairuzen Nasrullah Armi Neina Oktavia Sariningsih Nelson, Garry Nina Mardiana (F01108057) Nurhidayat, Muhammad Adi Nurul Qashri Mahardika T Nusharatul Lailiyya Nushrotul Lailiyya Patriananda, Teguh Porman Pangaribuan Pramudita, A. A. Pramudita, Aloysius A. PRATIWI, HANA Qolbiyah, Nada Syifa Rachmita Hasni.H1 Radika Gitatama Rahmad Rahmad Ramadhan, Azhar Yunda Ramdhan Nugraha Ratri Dwi Atmaja Rebecca Chittra Widyaparamitha Reyhan Fahmirakhman Abdullah Reynaldo Sandy Montolalu Reza Nurul Fajri Rheza Faurizki Rahayu Rifqy Miftahul Hidayat Rissa Rahmania Rizal Akhlaqul Rizki Ardianto Priramadhi Rizkia Dwi Auliannisa Rizky Ardianto Priramadhi Salwa Nur Rohmah Santosh Poudel Saputri, Desti M. Sari, Nurlina Satyawan , Arief Suryadi Satyawan, Arief Suryadi Seno Nugroho Siburian, Sebastian Edward Slamet Widodo Slamet Widodo Sony Sumaryo Sugihartono - Suputra , Mahesa Wisnu Suryo Adhi Wibowo Unang Sunarya Widyantara, Muhamad Ridwan Y. R, Azhar Yohana Jayanti Aruan Yudha Purwanto Yudha Setyawan, Raden Rofiq Zahwa Rizzi Ani