Sistem Elektronika dan Pengolahan Sinyal


Our research group, SEPS (Sistem Elektronika dan Pengolahan Sinyal), is part of the Research Center for Electronics and Telecommunications (P2ET-LIPI). Each member of our group has a research interest in the field of electronic systems and signal processing. The implementation of this field is quite widespread in various kinds of daily technology around us. One of our current research focuses is on autonomous vehicles. We are developing a telecommunications system for autonomous electric vehicles which will be operated in limited environments such as offices, industry, plantations, and independent city models. Moreover, we are developing object detection and recognition systems for autonomous electric vehicles. On the other hand, we are studying the technology of cognitive radio, proposing a method of radio spectrum sensing. Then we implement this technology for maritime communications. Researching this field is motivated by alternative broadband communication systems need in water areas. For COVID 19, our group has developed an integrated monitoring system for self-isolation. This technology aims to facilitate integrated self-isolation supervision for everyone who comes from high-risk areas of COVID 19. The monitoring system features are geo-fencing and notification for social distancing.

 

Group LeaderDR. Nasrullah Armi

Research group members

 

Ongoing Research :

Research on Autonomous Electric Vehicle Developed in LIPI

A. Telecommunications System for Autonomous Electric Vehicles

We are developing a telecommunications system for autonomous electric vehicles which will be operated in limited environments such as office complexes, industry, plantations, and independent city models. The autonomous electric vehicle will have technical characteristics in carrying a limited number of passengers (one to two passengers). In addition, the vehicle speed tends to be slow, and the energy consumption is relatively small compared to autonomous electric vehicles developed abroad. The development of this autonomous electric vehicle is chosen because it considers the availability of battery technology and the differentiation of similar vehicles designed by large corporations and developed countries. And also to simplify the research and development process by reducing complex licensing and standardization aspects as with autonomous electric vehicles operating in public areas.

In this research, a telecommunications system for autonomous electric vehicles is built by utilizing the existing telecommunications infrastructure, which is WiFi 5 GHz (802.11ac). This infrastructure selection is based on the availability of 5 GHz WiFi, commonly used as a WLAN device. In addition, the use of 5 GHz WiFi is considered close to the standard frequency for vehicle communication systems (802.11p) with devices that are easily found in the development area. This telecommunication system supports the functionality of autonomous vehicles to communicate with infrastructure and the surrounding environment, particularly for moving, adjusting position and direction, and avoiding collisions, which is commonly known as the vehicle-to-infrastructure (V2I) communication system.

B. Object Detection and Recognition System for Autonomous Electric Vehicle

The development of object detection and recognition systems for autonomous electric vehicles is currently being carried out by several related industries worldwide. This is an effort to support the birth of private or mass vehicles that are environmentally friendly, operated without too much demand for the control role of humans or their passengers. Not only abroad, but the presence of autonomous electric vehicles in Indonesia is also highly expected, especially in response to the government's plan to introduce electric vehicles and their autonomous versions to be operated in the new capital city within the next four years. The development of autonomous electric vehicles is also supporting the national research agenda for electric cars in the future, continuing the national electric car research carried out several years earlier.

The autonomous electric vehicle developed by LIPI is slightly different from similar vehicles abroad. The autonomous electric vehicle will be intended for a limited environment with a small passenger capacity such as a golf cart to a large passenger capacity such as a bus. Basically, the vehicle needs a reliable and appropriate object detection and recognition system to run properly and safe, regardless of the autonomous electric vehicle type that will be developed. Therefore, in this research, object detection and recognition system are designed and developed to support the mobility of autonomous electric vehicles. The system is built by utilizing the information processing methods sourced from omnidirectional images, point cloud data LiDAR (Light Detection and Ranging) and thermal images. And also employing methods of detecting and recognizing objects based on the concept of deep learning, which is one of the variants of artificial intelligence technology (AI). The concept of AI-based technology is also a supporting element for the industrial revolution 4.0. Its implementation is strongly encouraged by the Ministry of Industry through the "Making Indonesia 4.0" initiative. One of the agendas is to make Indonesia a major producer of conventional and electric motor vehicles in southeast Asia.

Figure. Roadmap of Autonomous Electric Vehicle Development in 2020-2024

Other Research

 

Other collaborators

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Research on Autonomous Electric Vehicle Developed in LIPI

A. Telecommunications System for Autonomous Electric Vehicles We are developing a telecommunications system for autonomous electric vehicles which will be operated in limited environments such as office complexes, industry, plantations, and independent...

Research on Cognitive Radio to Improve the Spectrum Efficiency Usage

At this time, the evolution of wireless communication systems has significantly influenced the development of telecommunications technology and users. However, at the same time, the rapidly increasing number of wireless communication users will impact...

Maritime Communication System Development Aims to Provide the Provision of Broadband Data Services on the VHF Spectrum Band

Cognitive Radio (CR) is present as a solution to the scarcity of frequency spectrum due to the increasing demand for spectrum usage. As is well known, most countries in the world adopt a static spectrum allocation policy. With this policy, each spectrum...

SIMONIC for Covid-19 Quarantine Monitoring Purpose

During the COVID-19 pandemic, wearable devices integrated with information systems can be used to monitor individuals in ODP (Orang Dalam Pantauan) or PDP (Pasien Dalam Pengawasan) status. ODP and PDP individuals who undergo quarantine often violate quarantine...

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Nasrullah Armi

Group Leader

Research Interest
  • Cognitive Radio
  • Dynamic Spectrum Access
  • nternet of Things
  • Wireless Communication
  • Wireless Sensor Network
Selected Publication Qualification
  • S-3 (Doctor of Philosophy): University of Technology Petronas, Department of Electrical and Electronic Engineering, Malaysia
  • S-2 (Master of Engineering): Toyohashi University of Technology, Knowledge based Information Engineering Department, Japan
  • S-1 (Bachelor of Enginerring): National Institute of Technology, Electrical Engineering
Personal Web Profile
Agus Subekti

Koordinator Program

Research Interest
  • signal processing
  • wireless communication
  • machine learning
  • computer system
Selected Publication Qualification
  • S3 (Doctor of Philosophy) : Bandung Institute of Technology (ITB), Indonesia
  • S2 (Master of Enginnering) : Bandung Institute of Technology (ITB), Indonesia
  • S1 : Bandung Institute of Technology (ITB), Indonesia
Personal Web Profile
Arief Suryadi Satyawan

Peneliti Muda

Research Interest
  • Multimedia signal processing
  • Telecommunication system
  • Electrical Engineering
Selected Publication Qualification
  • S-3 Waseda University
  • S-2 Institut Teknologi Bandung
  • S-1 Universitas Jend. Achmad Yani
Personal Web Profile
Arumjeni Mitayani

Peneliti Pertama

Research Interest
  • Signal Processing
  • Wireless Communication
Selected Publication Qualification
  • S2 : Electrical Engineering, School of Electrical Engineering and Informatics, Institut Teknologi Bandung (ITB), Indonesia
  • S1 : Electrical Engineering, School of Electrical Engineering and Informatics, Institut Teknologi Bandung (ITB), Indonesia
Personal Web Profile
Chaeriah Bin Ali Wael

Peneliti Muda

Research Interest
  • Wireless Communication
  • Signal Processing
  • Cognitive Radio Networ
  • Cooperative Communication
  • Game Theory
Selected Publication Qualification
  • Master of Engineering in Electrical Engineering, Institut Teknologi Sepuluh Nopember (ITS), 2012
  • Bachelor of Engineering in Telecommunication Engineering, Sekolah Tinggi Teknologi Telkom Bandung (STT Telkom), 2006
Personal Web Profile
Dayat Kurniawan

Peneliti Muda

Research Interest
  • Signal Processing
  • Wireless Communication
Selected Publication Qualification
  • Master of Engineering, School of Electrical Engineering and Informatics, Bandung Institute of Technology (ITB)
  • Bachelor of Engineering in Electrical Engineering, Brawijaya University (UB)
Galih Nugraha Nurkahfi

Peneliti Pertama

Research Interest
  • computer networks
  • internet
  • telematics
  • data science
  • data engineering
  • data management
  • wireless network
  • software defined networking
  • named data network
  • autonomous vehicle telecommunication
  • 5G
Qualification
  • S2(Master of Engineering), Institut Teknologi Bandung, Faculty of Informatics, and Electrical Engineering
  • S1(Bachelor of Science), Institut Teknologi Bandung, Departement of Physics
Personal Web Profile
Iman Firmansyah

Pegawai Pelatihan

Research Interest
  • Signal processing
  • High-performance computing
  • embedded systems
Selected Publication Qualification
  • Computer Science, University of Tsukuba ( 2020)
  • S2 - Information Sciences, Chiba University (2012)
  • S2- Fisika, Universitas Indonesia (2008)
  • S1 - Fisika, Universitas Padjadjaran (1999-2004)
Personal Web Profile
Mochamad Mardi Marta Dinata

Peneliti Pertama

Research Interest
  • Energy Efficiency
  • Green Telecommunication and Renewable Energy
  • Wireless Communicatio
Qualification
  • S2 (Master of Engineering), Majoring in Telecommunication Management, Department of Electrical Engineering, Unversitas Indonesia (UI), Indonesia
  • S1 (Bachelor of Engineering), Majoring in telecommunication Engineering, Department of Electrical Engineering, Institut Sains dan Teknologi Nasional (ISTN), Indonesia
Personal Web Profile
Rico Dahlan

Peneliti Pertama

Research Interest
  • signal processing
  • machine learning
  • telecommunication
Selected Publication Qualification
  • S-2 Elektro ITB
  • S-1 Universitas Andalas
Personal Web Profile
Ros Sariningrum

Peneliti Muda

Research Interest
  • Telecommunication
  • Digital Signal Processing
Selected Publication Qualification
  • S1- Universitas Jenderal Ahmad Yani
Salita Ulitia Prini

Peneliti Pertama

Research Interest
  • Multimedia Signal Processing
  • Pattern Recognition
Selected Publication Qualification
  • S2 : Electrical Engineering, School of Electrical Engineering and Informatics, Institut Teknologi Bandung (ITB), Indonesia
  • S1 : Computer Engineering, Faculty of Information Technology, Universitas Andalas (UNAND), Indonesia
Personal Web Profile
Suyoto

Peneliti Muda

Research Interest
  • Wireless communication
  • Cognitive Radio
  • Multicarrier systems
Selected Publication Qualification
  • S3 (Doctor of Philosophy) : Bandung Institute of Technology (ITB), STEI, Indonesia
  • S2 (Master of Enginnering) : Bandung Institute of Technology (ITB), Computer and Multimedia Systems, Indonesia
  • S1 : Bandung Institute of Technology (ITB), Bachelor of Telecommunication Engineering, Indonesia
Vita Awalia Mardiana

Peneliti Pertama

Research Interest
  • Signal processing
  • Machine learning
Selected Publication Qualification
  • S2 : Electrical Engineering, School of Electrical Engineering and Informatics, Institut Teknologi Bandung (ITB), Indonesia
Personal Web Profile
Purwoko Adhi

Peneliti

Research Interest
  • Signal processing
Qualification
  • S-3 Curtin University of Technology, Western Australia
  • S-2 Universite Piere et Marie Currie, Paris 6, France
  • S-1 ESIGELEC, Rouen, France
Personal Web Profile
Octa Heriana

Peneliti

Research Interest
  • Electronics
  • Signal Processing
  • Image Processing
Qualification
  • S2 Teknik Elektro Universitas Gadjah Mada
  • S1 Teknik Elektro Universitas Gadjah Mada
Personal Web Profile
M Tajul Miftahushudur

Peneliti

Research Interest
  • Image/Signal Processing
  • Machine Learning
Qualification
  • Master of Science in Digital Signal Processing, The University of Manchester, 2018
  • Bachelor of Computer Science, Universitas Diponegoro, 2013
Personal Web Profile
Budiman Putra Asma'ur Rohman

Peneliti

Research Interest
  • signal processing
  • machine learning
  • embedded systems
Qualification
  • S3 (Doctor of Philosophy) Kumamoto University, Department of Advanced Industrial Science, Japan
  • S2 (Master of Engineering) Kumamoto University, Department of Computer Science and Electrical Engineering, Japan
  • S1 (Bachelor of Engineering) Institut Teknologi Sepuluh Nopember, Department of Engineering Physics, Indonesia
Personal Web Profile
Sopyan Setiana

Teknisi Laboratorium

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Error rate detection due to primary user emulation attack in cognitive radio networks

N. Armi, W. Gharibi, W. Z. Khan

International Journal of Electrical and Computer Engineering (IJECE) Vol. 10, No. 5, October 2020, pp. 5385~5391

2020

Abstrak

Security threat is a crucial issue in cognitive radio network (CRN). These threats come from physical layer, data link layer, network layer, transport layer, and application layer. Hence, security system to all layers in CRN has a responsibility to protect...

Performance analysis of OFDM-IM scheme under STO and CFO.

Suyoto; Agus Subekti, Arief Suryadi Satyawan; Vita Awalia Mardiana; Nasrullah Armi, Dayat Kurniawan

International Journal of Electrical and Computer Engineering (IJECE) Vol. 11, No. 4, August 2021, pp. 3293~3299 ISSN: 2088-8708,

2021

Abstrak

In this letter, performance analysis of orthogonal frequency division multiplexing with index modulation (OFDM-IM) is presented in term of bit error rate (BERs). The analysis considers its performance under two impairments, symbol time offset (STO) and...

Plant diseases detection with low resolution data using nested skip connections

Hilman F Pardede, Endang Suryawati, Vicky Zilvan, Ade Ramdan, R Budiarianto S Kusumo, Ana Heryana, R Sandra Yuwana, Dikdik Krisnandi, Agus Subekti, Fani Fauziah, Vitria P Rahadi

Journal of Big Data volume 7, Article number: 57 (2020)

2020

Abstrak

At the moment, there are increasing trends of using deep learning for plant diseases detection. However, their implementations may be difficult in developing countries due to several reasons. First, existing deep learning models are usually trained with...

Cooperative Game Theory Approach for Energy-Efficient Node Clustering in Wireless Sensor Network

Chaeriah Bin Ali Wael, Nasrullah Armi, Arumjeni Mitayani, Suyoto Suyoto, Salita Ulitia Prini, Winy Desvasari, Rico Dahlan, Ros Sariningrum

Jurnal Elektronika dan Telekomunikasi

2020

Abstrak

Energy consumption is one of the critical challenges in designing wireless sensor network (WSN) since it is typically composed of resource-constrained devices. Many studies have been proposed clustering to deal with energy conservation in WSN. Due to...

Through-the-Wall Human Respiration Detection Using UWB Impulse Radar on Hovering Drone

Budiman P. A. Rohman; Muhammad Bagus Andra; Masahiko Nishimoto

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 6572-6584, 2021

2021

Abstrak

The detection of a human being behind obstacles using radar technology has many promising applications, such as postdisaster search and rescue missions. In the case of large observation areas, the use of an unmanned aerial vehicle as the moving...

FPGA-based implementation of a chirp signal generator using an OpenCL design

Iman Firmansyah, Yoshiki Yamaguchi

Microprocessors and Microsystems

2020

Abstrak

A novel approach to developing an FPGA-based chirp signal generator using high-level synthesis implementation is proposed. OpenCL, which is a framework used for high-level synthesis (HLS) methodologies, is employed instead of the Verilog/VHDL language...

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