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Analisa Kinerja Sistem MIMO-OFDM Pada Estimasi Kanal LS Untuk Modulasi m-QAM I Gede Puja Astawa; Ahmad Zainudin; Yoedy Mogiharto; Imam Dui Agus Salim; Masitah Ayu Wardani
PROSIDING CSGTEIS 2013 CSGTEIS 2013
Publisher : PROSIDING CSGTEIS 2013

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Abstract

Abstract—Kombinasi teknik Orthogonal Frequency Division Multiplexing (OFDM) dan Multiple Input Multiple Output (MIMO), atau disebut MIMO-OFDM, merupakan pilihan yang menjanjikan untuk sistem transmisi data kecepatan tinggi di masa datang. Sistem MIMO-OFDM dapat membantu menghilangkan Inter Symbol Interference (ISI) yang disebabkan oleh kanal multipath.Untuk mengetahui kondisi kanal tersebut maka harus dilakukan estimasi kanal denganmenyisipkan pilot pada data yang dikirim.Pada penelitian ini dibuat sistemMIMO-OFDM dengan penerapan teknik estimasi kanal pada sistemnya.Penyusunan pilot menggunakan tipe blok(Block Type)sedangkan untuk metode estimasi kanalnya digunakan Least Square (LS).Hasil kinerja sistem ditunjukkan oleh kurva Bit Error Rate (BER) sebagai fungsi Signal to Noise Ratio (SNR) dengan parameter jumlah antena pemancar, jumlah antena penerima. Kinerja sistem dengan 4 antena pemancar lebih baik ±1 dB dari 3 antena pemancar, lebih baik ±6 dB dari 2 antena pemancar dan lebih baik ±11 dB dari 1 antena pemancar.Keywords—MIMO-OFDM, ISI, multipath fading, block type, Least Square, M-QAM
An Implementation of Grouping Nodes in Wireless Sensor Network Based on Distance by Using k-Means Clustering Rizqi Fauzil Azhar; Ahmad Zainudin; Prima Kristalina; Bagas Mardiasyah Prakoso; Niam Tamami
CommIT (Communication and Information Technology) Journal Vol. 12 No. 2 (2018): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v12i2.4714

Abstract

Wireless Sensor Network (WSN) is a network consisting of several sensor nodes that communicate with each other and work together to collect data from the surrounding environment. One of the WSN problems is the limited available power. Therefore, nodes on WSN need to communicate by using a cluster-based routing protocol. To solve this, the researchers propose a node grouping based on distance by using k-means clustering with a hardware implementation. Cluster formation and member node selection are performed based on the nearest device of the sensor node to the cluster head. The k-means algorithm utilizes Euclidean distance as the main grouping nodes parameter obtained from the conversion of the Received Signal Strength Indication (RSSI) into the distance estimation between nodes. RSSI as the parameter of nearest neighbor nodes uses lognormal shadowing channel modeling method that can be used to get the path loss exponent in an observation area. The estimated distance in the observation area has 27.9% error. The average time required for grouping is 58.54 s. Meanwhile, the average time used to retrieve coordinate data on each cluster to the database is 45.54 s. In the system, the most time-consuming process is the PAN ID change process with an average time of 14.20 s for each change of PAN ID. The grouping nodes in WSN using k-means clustering algorithm can improve the power efficiency by 6.5%.
Implementasi Fog Computing Pada Aplikasi Smart Home Berbasis Internet of Things Ahmad Zainudin; Ida Anisah; Melki Mario Gulo
CESS (Journal of Computer Engineering, System and Science) Vol 6, No 1 (2021): Januari 2021
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (419.311 KB) | DOI: 10.24114/cess.v6i1.20658

Abstract

Teknologi Internet of Things (IoT) saat ini terus berkembang dan manfaatnya sudah mulai bayak dirasakan oleh sebagian besar masyarkat. Beberapa aplikasi IoT seperti smart home, smart factory, smart agriculture. Pada implementasi sistem IoT diperlukan perangkat yang berfungsi untuk mengumpulkan dan memproses beberapa jenis data. Sehingga diperlukan sebuah resouce yang handal yang sering disebut dengan cloud computing. Cloud computing merupakan pusat data yang terpusat. Karena jarak yang jauh maka menjadi kelemahan untuk beberapa aplikasi yang sensitif terhadap waktu. Pada penelitian ini akan dikembangkan sebuah sistem fog computing pada internet of things services pada untuk aplikasi smart home. Berdasarkan hasil pengujian didapatkan waktu proses komputasi pada aplikasi monitoring suhu dan kelebaban sebesar 0,152 detik, pada aplikasi pengaturan dimmer lampu sebesar 0,339 detik dan apada aplikasi face recognition sebesar 6,602 detik.
Performance Evaluation of Distribution Node in Case of LEACH Implementation on Wireless Sensor Network Bagas Mardiasyah Prakoso; Ahmad Zainudin; Prima Kristalina; Rizqi Fauzil Azhar
Jurnal Elektronika dan Telekomunikasi Vol 18, No 2 (2018)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v18.67-74

Abstract

Wireless sensor networks consisting of sensor nodes can be used as an effective tool for collecting data in various situations. Nodes are usually placed randomly in an area to perform sensing and monitor various parameters related to environmental conditions in various locations. One of the major problems in wireless sensor networks is developing energy-efficient routing protocols that have a significant impact on the overall life of sensor networks so it is important to make energy savings in these limited energy sources to extend network life. This paper proposes a hardware design and Low-Energy Adaptive Clustering Hierarchy (LEACH) routing protocol configuration for power saving by utilizing cluster head selection mechanism. The cluster head selection process is performed periodically based on LEACH algorithm enables the node to have the best lifetime responsible for communication between the nodes and the server as well as the effort to save energy consumption of limited energy sources to extend network life. So that makes the process of sending information more effective and optimal. The system has been able to display data information along with the position of nodes in the web server with an average of 42 seconds of computing time in a rotation of the system so that it can be done 85 times in 1 hour. The system is able to provide real-time information with a throughput of more than 1.052 Kbps and packet loss of no more than 6.7%. In addition, energy savings can up to 6.5% of the existing energy in a lithium battery.
Implementasi Sistem Komunikasi Nirkabel OFDM Berbasis Software Defined Radio (SDR) Ida Anisah; Hendy Briantoro; Ahmad Zainudin; Desy Intan Permatasari
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 2: Mei 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (923.553 KB)

Abstract

Nowadays, wireless communication technology is developing rapidly. However, this technology still has some weaknesses, e.g. large bandwidth requirement and multipath fading. To overcome these weaknesses, MIMO OFDM technique is needed. This paper implements MIMO OFDM 2x2 communication system in Universal Software Radio Peripheral (USRP). The performance of MIMO OFDM 2x2 is shown by the throughput value. This value is compared to the throughput value of single carrier and SISO OFDM. The modulations used are BPSK, 4-QAM, and 16-QAM. In 4-QAM modulation, the throughput value of MIMO OFDM is significantly larger than throughput value of single carrier and SISO OFDM. The throughput value of single carrier communication system is 27.71 Mbit/s, while the throughput value of the SISO OFDM communication system is 60.27 Mbit/s, and the throughput value of the MIMO OFDM 2x2 communication system is 123.03 Mbit/s.