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All Journal Bulletin of Electrical Engineering and Informatics Journal of Degraded and Mining Lands Management ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Proceeding of the Electrical Engineering Computer Science and Informatics KOMPUTIKA - Jurnal Sistem Komputer TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika JMECS (Journal of Measurements, Electronics, Communications, and Systems) Prosiding Konferensi Nasional PKM-CSR Jurnal Nasional Teknik Elektro dan Teknologi Informasi eProceedings of Engineering Metris: Jurnal Sains dan Teknologi Jurnal INFOTEL Buletin Pos dan Telekomunikasi

Aloysius Adya Pramudita

Universitas Telkom

Author-ID : 2840589

Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Nursing Public Health Social Sciences

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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

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.

Kompresi Sinyal EKG menggunakan Teknik Parameter Extraction ALIWARGA, CINTHIA; PRAMUDITA, ALOYSIUS ADYA; KARTAWIDJAJA, MARIA ANGELA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 7, No 2 (2019): ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v7i2.308

ABSTRAKSistem healthcare IoT menyebabkan peningkatan trafik komunikasi dan jumlah penyimpanan data. Elektrokardiogram (EKG) adalah salah satu alat yang berperan penting dalam healthcare IoT. Pasien yang mengalami kelainan jantung perlu dipantau oleh EKG dalam periode waktu lama sehingga menghasilkan data dalam jumlah yang sangat besar. Kompresi data mampu menjadi solusi masalah di atas. Penelitian ini melakukan kompresi sinyal EKG menggunakan metode parameter extraction untuk satu siklus sinyal dari dua belas pasien yang dipilih secara acak. Hasil penelitian menunjukkan bahwa kinerja kompresi baik, ditunjukkan oleh nilai Compression Ratio (CR) 6,24 dan Mean Square Error (MSE) 0,0018.Kata kunci: IoT, EKG, kompresi data, parameter ekstraction. ABSTRACTHealthcare IoT causing higher data communication traffic and storage. Electrocardiogram (ECG) is one of the important device in healthcare IoT. Patient whose have heart abnormality needs ECG monitoring for long period of time, this causing a big data size. Data compression become one of the solutions for this problem. This research focused on data compression using parameter extraction method for one cycle ECG signal from twelve patients.This research has a good result with Compression Ratio (CR) 6,24 and Mean Square Error (MSE) 0,0018.Keywords: IoT, ECG, data compression, parameter extraction

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

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

Deteksi Radar Pasif menggunakan GNU Radio dan SDR pada Frekuensi Televisi MARPAUNG, YONATAN EDWIN; PRAMUDITA, ALOYSIUS ADYA; ALI, ERFANSYAH
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 8, No 3: Published September 2020
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v8i3.505

ABSTRAKRadar pasif adalah salah satu jenis sistem radar bistatic dimana transmitter danÂ receiver berada di tempat berbeda. Sistem radar pasif dapat memaanfaatkanÂ frekuensi siaran televisi yang tersedia sebagai sumber transmitter. Pada penelitianÂ ini, radar pasif dibuat dengan Sofware Defined Radio (SDR) sebagai sistemÂ komunikasi yang dapat mengkofigurasi penerima televisi digital sdr-dongleÂ RTL2832U yang dimodifikasi dan perangkat lunak GNU Radio. Hasil pengujianÂ delay pada gelombang 1,2,3 untuk objek manusia adalah 0,192, 0,36 dan 0,53Â detik, untuk objek sepeda adalah 0,332, 0,5 dan 0,67, untuk objek motor adalahÂ 0,422, 0,69 dan 0,86 detik, untuk objek mobil adalah 0,538, 0,7 dan 0,87 detikÂ sehingga dapat disimpulkan bahwa sistem radar pasif yang dirancang dapatÂ mendeteksi benda bergerak dimana pegerakan target menyebabkan pergeseranÂ puncak Cross-Correlation.Kata kunci: Radar Pasif, Cross-Correlation, SDR, Frekuensi Televisi, RTL2832UÂ ABSTRACTPassive radar is a type of bistatic radar system where the transmitter and receiverÂ are in different places. Passive radar systems can utilize the available televisionÂ broadcast frequencies as transmitter sources. In this study, passive radar is madeÂ with Software Defined Radio (SDR) as a communication system that can configureÂ a modified RTL2832U sdr-dongle digital television receiver and GNU RadioÂ software. The delay test results on waves 1,2,3 for human objects are 0.192, 0.36Â and 0.53 seconds, for bicycle objects are 0.332, 0.5 and 0.67, for motor objectsÂ are 0.422, 0.69 and 0.86 seconds, for car objects are 0.538, 0.7 and 0.87 secondsÂ so it can be concluded that the passive radar system is designed to detect movingÂ objects where moving targets causes a shift in the peak of Cross-Correlation.Keywords: Passive Radar, Cross-Correlation, SDR, Television Frequency,Â RTL2832U

Evaluation between the year of pruning and land slope on nutrient uptake and availability in tea plantation Faris Nur Fauzi Athallah; Restu Wulansari; Aloysius Adya Pramudita
Journal of Degraded and Mining Lands Management Vol 9, No 1 (2021)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2021.091.3175

In tea plantations, pruning to rejuvenate the plant is regularly carried out. The cutting age that is also known as pruning year determines the estimated production of tea plantations. The land slope is thought to affect the absorption of nutrients, which have implications on yields. This study aimed to explore the interaction between the pruning year and land slopes in nutrients uptake in tea plantations and to obtain the correlation between soil fertility and nutrients content in tea plants at different land slopes. A field experiment was carried out from December 2020 to February 2021 at The Research Centre for Tea and Cinchona, Gambung. A Split Plot design was conducted to observe between pruning year (PY) that consisted of pruning year 1 (PY-1), pruning year 2 (PY-2), pruning year 3 (PY-3) and pruning year 4 (PY-4) with two different slopes in each block that consisted of flat land (slope = 0-8%) and sloping land (slope = 15%-25%). Results of the study showed that there was no interaction between PY and slope on the uptake and nutrient content in the tea plant, but there was an independent effect from each factor, where the PY factor affected all nutrients uptake, while the slope factor only affected P content. There was no significant difference between flat and sloping land on soil nutrients, but there was a correlation between plant nutrients and tea plant nutrient content. P content had a strong correlation with K content (r = 0.657); and K content had a strong correlation with Mg content (r = 0.891).

Single-Tone Doppler Radar System for Human Respiratory Monitoring Rizky Ambarini; Aloysius Adya Pramudita; Erfansyah Ali; Antonius Setiawan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Human respiration activities can be identified from the chest wall movement. In developing a non-contacting sensor for human respiration, the chest wall movement can be detected as a Doppler shift. Therefore, the Doppler radar is potential to be implemented for the non-contacting sensor previously mention. In this paper, the Single-Tone Doppler radar which operates at 10 GHz has been studied and proposed for detecting human respiration. The simulation experimental is performed for investigating the capability of the proposed method in detecting the human respiration parameter such as respiration rate and respiration amplitude. The results show that the proposed method is capable to extract the human respiration parameter.

Dual Frequency Continuous Wave Radar for Small Displacement Detection Andarining Palupi; Aloysius Adya Pramudita; Dharu Arseno; Antonius Darma Setiawan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

In several field such as structure health monitoring, landslide monitoring and medical measurement, small displacement is used as the indicator of any problem that may rise in such fields. High resolution radar system is required for small displacement detection in millimeter of centimeter scale. Continuous wave (CW) radar with its narrow bandwidth feature, has a simpler system comparing with other radar system. However, the modification is needed to present the ability of CW radar in detecting small displacement. In this paper, dual frequency CW radar was investigated and proposed for small displacement detection. Computer simulation has been conducted to study the capability of the proposed radar system. The result shows that the dual frequency CW radar at 10.525 GHz is capable to detect a small displacement in millimeter scale. The frequency difference of the radar signal needs to be adjusted to avoid the ambiguity in the detection result

ANALISA PERGESERAN FASA PADA PERANCANGAN DAN REALISASI BRANCH-LINE COUPLER UNTUK DETEKSI FASA PADA RADAR C-BAND Arrizky Ayu Faradila Purnama; Aloysius Adya Pramudita; Edwar Edwar
TEKTRIKA Vol 5 No 2 (2020): TEKTRIKA Vol.5 No.2 2020
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v5i2.3990

Sejumlah radar menggunakan I/Q demodulator pada sisi penerima untuk melakukan pengolahan sinyal pantul dari objek yang diterimanya. I/Q demodulator merupakan suatu komponen yang berfungsi untuk memproses sinyal RF ke sinyal I (In-phase) dan sinyal Q (Quadrature). Pada I/Q demodulator, sinyal masukkan akan dikalikan dengan dua sinyal dari LO (Local Oscillator) yang masing-masing berbeda fasa 90 yang kemudian digunakan sebagai mekanisme pendeteksi fasa. Branch-line coupler merupakan suatu rangkaian penggeser fasa yang dapat diimplementasikan dalam membangun I/Q demodulator. Akurasi pergeseran fasa yang dihasilkan branch-line coupler akan memberikan pengaruh terhadap hasil deteksi fasanya. Dalam perancangan dan realisasi branch-line coupler diperlukan suatu kajian untuk mengetahui ketepatan pergeseran fasa yang diperoleh. Pada penelitian ini dilakukan, suatu analisa kerja branch-line coupler hasil dari suatu perancangan dan realisasi yang telah dilakukan untuk suatu deteksi fasa pada radar C-band dengan basis I/Q demodulator. Hasil penelitian menunjukkan bahwa nilai pergeseran yang mendekati 90 menyebabkan nilai fasa sinyal keluaran sebanding dengan fasa sinyal datang. Kata Kunci: I/Q Demodulator, Branch-Line Coupler, Penggeser Fasa

Surface Clutter Reduction for Ground Penetrating Radar Queen Hesti Ramadhamy; Erfansyah Ali; Aloysius Adya Pramudita
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol 8 No 2 (2021): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v8i2.2869

Surface clutter is one of the problem in GPR survey that may caused the difficulty in detecting object. The rough of the ground surface caused the surface clutter is a method for reducing the clutter is need to improved the detection result. One of method is used to achieve that objective is averaging method. In this experiment, GPR system is modelled using VNA and the averaging method is resulting on target object detection which is recognized more clearly.

Modeling of Cavities Detection in The Tree Stemsection Using Radar Vector Network Analyzer (VNA) Elaborating Radon Transform Aldi Rivaldi Dwinanda; Bambang Setia Nugroho; Aloysius Adya Pramudita
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol 9 No 1 (2022): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v9i1.5370

Trees are one of the most useful plants for life on earth. However, trees can be harmful due to cavities in the stem sections. Rapid detection is needed to prevent several losses that may arise due to fallen trees. This research identified a hollow and non-hollow tree stem section of flamboyant tree with a sub-surface detection radar system. The sub surface detection radar system was modeled using a Vector Network Analyzer (VNA) connected to a Vivaldi antenna. VNA emitted electromagnetic waves to the tree stem section and subsequently propagated and penetrated hollow tree stem section. The propagation wave met the boundary plane between the wood and the cavity which reflected the electromagnetic waves. The reflected wave was caught by antenna and was display by the VNA as S-Parameter. This research used a Vivaldi antenna with a working frequency of 1 GHz – 10 GHz and a VNA with working frequency 300KHz - 8GHz. The difference in the amplitude of the signal could be seen from the results of cavity measurements made at one point. By implementing circular scanning method with inverse radon transformation, this research could identify a 19 cm diameter wood with a hole of 6 cm and 9.5 cm diameter filled with water, respectively. It was observed that the optimal detection was obtained by placing object between the antennas. This research has signified the application of radar modeled with VNA for detecting the cavities in tree stem section.

Co-Authors Abigail , Rizky ibrahim Achmad Cahyo Saputro ADITYA, MUHAMMAD ILHAM Aldi Rivaldi Dwinanda Ali, Erfansyah ALIWARGA, CINTHIA Ambarini, Rizky Andarining Palupi Andini Dwi Pratiwi Antonius Setiawan Aulia, Danny Azka Maulani Bambang Setia Nugroho Batubara, Raihan Naufalsyah Mumtaz Budi Prasetya Devy Roro Dinar Adellie Dharu Arseno DHIYANI, AZIZKA AYU Dwiandharu, Muhammad Andika Naufan DWINANDA, ALDI RIFALDI Dwiyanto Dwiyanto Edwar EDWAR EDWAR Faradila Purnama, Arrizky Ayu Faris Nur Fauzi Athallah Fiky Y. Suratman Fildha Ridhia Ghehena Latipah Adha Sahara Hamdani, Nizar Alam Harfan Hian Ryanu Helfy Susilawati Hendrawan HIDAYAT, MUJIB RAMADAN Hurianti Vidyaningtyas Ibnu Zulkarnain ISKANDAR Kartika Praty Dena Zaam Kartika Praty Dina Zaam Latukolan, Merlyn Inova Christie Levy Olivia Nur LUCIA JAMBOLA Luciana Andrawina Lukas Lukas MAARIF, AHMAD FATHAN Maria Angela Kartawidjaja MARPAUNG, YONATAN EDWIN Miftadi Sudjai Muhammad Naufal Darma Putra Nasrullah Armi NUGRAHA, BAMBANG SETIA Palupi, Andarining PRATIWI, HANA Putri Milhatun Niâ€™mah Queen Hesti Ramadhamy Radial Anwar, Radial Rahmita Rufaidah Rayinda Pramuditya Soesanto Restu Wulansari Rina Pudji Astuti Rizky Ambarini S. Sugiharto Sania Uswah Nafisah Satyawan, Arief Suryadi Setiawan, Antonius Setiawan, Antonius Darma Setiawan, Antonius Darma Shabrina Zahira Sindoro, Clara Gabriel Syahna Hafizha Utami Ananda Ridwan Vinsensius Sigit Widhi Prabowo Wisnutama, William Wafi Yuyu Wahyu Yuyu Wahyu Zahara Nur Fikana

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