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Performance Analysis of Genetic Zone Routing Protocol Combined With Vertical Handover Algorithm for 3G-WiFi Offload Setiyo Budiyanto; Muhammad Asvial; Dadang Gunawan
Journal of ICT Research and Applications Vol. 8 No. 1 (2014)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2014.8.1.4

Abstract

In the deployment scenario of multiple base stations there is usually a deficiency in the routing protocols for load balancing in the wireless network. In this study, we propose a routing algorithm that can be implemented inMobile Adhoc Networks (MANETs) as well as third-generation (3G)"“Wireless Fidelity (WiFi) offload networks. We combined the Genetic Zone Routing Protocol (GZRP) with the Vertical Handover (VHO) algorithm in a 3G"“WiFioffload network with multiple base stations. Simulationresults show thatthe proposed algorithm yields improvement in the received signal strength(which is increased up to 25 dBm), user throughput (which is approximately 1 Mbps-2.5 Mbps), and data rate (which is increased up to 2.5 Mbps).
Electrical Capacitance Volume Tomography Static Imaging by Non-Optimized Compressive Sensing Framework Nur Afny Catur Andryani; Dodi Sudiana; Dadang Gunawan
Journal of ICT Research and Applications Vol. 10 No. 3 (2016)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2016.10.3.4

Abstract

Electrical capacitance volume tomography is a volumetric tomography technique that utilizes capacitance and fringing to capture behavior or perturbation in the sensing domain. One of the crucial issues in developing ECVT technology is the reconstruction algorithm. In practice, ILBP is most used due to its simplicity. However, it still presents elongation errors for certain dielectric contrasts. The high undersampling measurement of the ECVT imaging system, which is mathematically defined as an undetermined linear system, is one of the most challenging issues. Compressive sensing (CS) is a framework that enables the recovery of a sparse signal or a signal that can be represented as sparse in a certain domain, by having a lower dimension of measurement data compared to the Shanon-Nyquist theorem. Thus, mathematically, this framework is promising for solving an undetermined linear system such as the ECVT imaging system. This paper discusses the possibility of developing an ECVT imaging technique for static objects based on a CS framework. Based on the simulation results, Non-optimized CS does not completely succeed in providing better ECVT imaging quality. However, it does provide more localized imaging compared to ILBP. In addition, by having fewer requirements for the measurement data dimension, the CS framework is promising for reducing the number of required electrodes.
SIMULASI PEMODELAN SISTEM LAYANAN GFR BERBASIS LOGIKA FUZZY PADA BUFFER SWITCH DI JARINGAN ATM Rendy Munadi; Sar Sardy; Dadang Gunawan
TEKTRIKA Vol 9 No 1 (2004)
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v9i1.232

Abstract

Paper ini membahasan mekanisme pengendalian manajemen buffer dalam mengimplementasikan layanan Guaranteed Frame Rate (GFR) pada Jaringan ATM berbasis logika fuzzy yang dikenal sebagai Fuzzy Fair Buffer Allocation (FFBA). Mekanisme ini lebih fleksibel, mudah diimplementasikan dan memproses penerimaan, pengalokasian dan pembuangan sel yang masuk pada buffer sesuai sifat First Input First Output (FIFO), serta menjamin Minimum Cell Rate (MCR) bagi trafik TCP/IP di jaringan ATM. Sebagai parameter dalam simulasi ini, seperti ukuran buffer sisa dan jumlah sel terkirim yang mampu menunjukkan bahwa FFBA memberikan jaminan MCR, total throughput sistem yang lebih dari penggunaan mekanisme konvensional dan maksimum buffer occupancy, dapat dicapai dengan meningkatnya beban trafik prioritas tinggi.Kata kunci: layanan GFR, TCP/IP, Fuzzy Fair Buffer Allocation (FFBA), switch ATM
A Study on Peak-to-Average Power Ratio in DWT-OFDM Systems Filbert Hilman Juwono; Randy S. Putra; Dadang Gunawan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Orthogonal frequency division multiplexing (OFDM) systems suffer from large peak-to-average power ratio (PAPR). In this paper we study the discrete wavelet transform (DWT)-based OFDM systems. In particular, we discuss the effect of the decomposition level of each wavelet family in the DWT-based OFDM regarding the PAPR. The simulation results show that, in general, there is a decomposition level that minimize the PAPR in every wavelet family. In addition, we also analyze the effect of clipping nonlinearities, i.e. conventional clipping and deep clipping, as PAPR reduction method in DWT-OFDM systems. The results show that the clipping nonlinearities give a noticeable PAPR reduction. However, as DWT-OFDM itself has lower PAPR compared to the conventional discrete Fourier transform (DFT)-based OFDM, the clipping nonlinearity subsystem may not be essential as it degrades the system performance. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.5375
DESIGN AND IMPLEMENTATION OF ANTI-TANK GUIDED-MISSILE (ATGM) CONTROL SYSTEM USING SEMI-AUTOMATIC COMMAND LINE OF SIGHT (SACLOS) METHOD BASED ON DIGITAL IMAGE PROCESSING Muhammad Hanifudin Al Fadli; Dadang Gunawan; Romie Oktovianus Bura; Larasmoyo Nugroho
Jurnal Pertahanan: Media Informasi ttg Kajian & Strategi Pertahanan yang Mengedepankan Identity, Nasionalism & Integrity Vol 7, No 2 (2021)
Publisher : The Republic of Indonesia Defense University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33172/jp.v7i2.755

Abstract

The Anti-Tank Guided-Missile (ATGM) system has a very important role in the modern battlefield. This system proved its effectiveness in many modern conflicts such as the Syrian Civil War and Nagorno-Karabakh War. The ATGM system has a very simple electronic and mechanism but it has a very high level of accuracy and precision. One of the control methods used in ATGM is SACLOS method. This method tracks missile position by detecting an infrared lamp that is placed on the missile tail. The tracking system sends control signals to the missile as a result of the correction of the missile position when flying. The infrared tracking system in this research was made using a modified OV5647 camera with the addition of a 940 nm narrow bandpass filter. There are 3 cameras with 1x, 8x, and 16x magnifications which are accessed using 3 Raspberry Pi boards. X and y coordinate data of the infrared lamp is sent to the airframe using wireless telemetry. Atmega328 microcontroller process x and y coordinate data into input proportional control. The result of this research is the prototype of an anti-tank missile control system with an infrared tracking instrument capable track a series of 88 infrared LEDs as far as 997.16 meters with a tracking speed of 90.11 FPS. The threshold parameters of image processing using luminance of YUV color space has a range of 240-255. The control parameter Kp=7 is used in wind tunnel testing with airspeed 20 m/s capable of directing airframe motion to the telescope's crosshairs.
Analisis Faktor Pendorong Loyalitas Pemain Game (Consumer Loyalty) Terhadap Mobile Games dengan Fokus Studi Mobile Legend Anita Rizkiyani; Prof. Dr. Ir. Dadang Gunawan, M.Eng.
Jurnal Bisnis dan Manajemen West Science Vol 2 No 1 (2023): Jurnal Bisnis dan Manajemen West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (534.499 KB) | DOI: 10.58812/jbmws.v2i1.122

Abstract

Keberadaan internet menjadi hal yang penting untuk masa sekarang. Pemanfaatan internet juga semakin meluas, tak terbatas hanya memfasilitasi komunikasi dan berbagi informasi, akan tetapi internet juga banyak digunakan sebagai sarana hiburan, salah satunya untuk bermain game. Mobile Legend  menjadi salah satu   Mobile Game  berbasis kan internet dan juga memiliki pemain (pelanggan) dengan jumlah yang besar di Indonesia. Dengan jumlah pemain aktif yang tinggi, perlu untuk dianalisa mengenai loyalitas dari para pemain. Loyalitas (Customer Loyalty) ini dapat diteliti berdasarkan empat variabel utama yaitu Product Feature yang berfokus pada Gameplay dan User Interface. Lalu Price pada faktor Price on The Game dan Price of The Virtual Item. Game Designed dengan aspek Game Value, Interaction dan Community. Serta Operator Telekomunikasi dengan menganalisis faktor Infrastructure Provider, Ecosystem Development Partner dan juga Sales Partner. Analisis data untuk penelitian ini akan menggunakan SPSS edisi 25 dan AMOS. Operator Telekomunikasi hanya memberikan pengaruh akan tetapi tidak besar dan perlunya perencanaan lebih matang untuk pengembangan infrastruktur dan juga penjualan. Lain halnya dengan Product Feature, hanya sebesar 1% pengaruh yang diberikan terhadap loyalitas pemain. Serta Product Features tidak signifikan dikarenakan adanya saturasi permainan. Selain itu Price termasuk signifikan dikarenakan karena ada banyaknya interaksi yang bisa dilakukan selama bermain serta dorongan yang berasal dari komunitas-komunitas yang ada, sehingga meningkatkan loyalitas dari pemain. Game Value memiliki pengaruh terbesar dalam menjaga loyalitas pemain. Tingginya nilai yang didapatkan karena ada banyaknya interaksi yang bisa dilakukan selama bermain serta dorongan yang berasal dari komunitas-komunitas yang ada, sehingga meningkatkan loyalitas dari pemain.
Perbandingan Metode Penyesuaian Kontras Citra Pada Pengenalan Ekspresi Wajah Menggunakan Fine-Tuning AlexNet Akhmad Sarif; Dadang Gunawan
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 3 (2023): Juli 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i3.6382

Abstract

Research related to facial expression recognition (FER) has become a significant topic of interest in the field of computer vision due to its broad applications. Artificial intelligence technologies, such as deep learning, have been applied in FER research. The use of deep learning models in FER requires a dataset for training, which plays a crucial role in determining the performance of deep learning. However, the available FER datasets often require preprocessing before being processed using deep learning. In this study, a comparison of contrast adjustment preprocessing methods was conducted using Histogram Equalization (HE) and Contrast Limited Adaptive Histogram Equalization (CLAHE). Subsequently, the dataset images were used with a fine-tuned deep learning model, specifically AlexNet, to classify them according to the categories of human facial expressions. The objective of this research is to determine the superior contrast adjustment method for FER dataset images in improving the performance of the deep learning model employed. The CK+ dataset (The Extended Cohn-Kanade) and KDEF dataset (The Karolinska Directed Emotional Faces) were used in this study. The results indicate that the CLAHE method outperforms HE in both the CK+ and KDEF datasets. In the CK+ dataset, the CLAHE method achieved an average accuracy of 93.21%, while the average accuracy of the HE method was 91.50%. For the KDEF dataset, the average accuracy of the CLAHE method was 88.35%, compared to 84.70% for the HE method.
Real-time stress detection and monitoring system using IoT-based physiological signals Atika Hendryani; Dadang Gunawan; Mia Rizkinia; Rinda Nur Hidayati; Frisa Yugi Hermawan
Bulletin of Electrical Engineering and Informatics Vol 12, No 5: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i5.5132

Abstract

Currently, medical experts use psychophysiological questionnaires to evaluate human stress levels during counseling or interviews. Typically, biochemical samples use urine, saliva, and blood samples to identify the effects of stress on the human body. This research explains that stress detection can be done by analyzing psychological signals and the importance of monitoring stress levels. The authors develop research on stress detection based on psychological signals. The system then processes the recorded data; the android application displays the calculation results. The database can also be accessed as a spreadsheet via a web application. The design of real-time stress detection and monitoring using internet of things (IoT) can work well.
Penyempurnaan Sistem Inkubator Bayi Berbasis FLC Menggunakan Algoritma Genetika Setiyo Budiyanto; Lukman Medriavin Silalahi; Dadang Gunawan; Erry Yulian Triblas Adesta
JURNAL INFOTEL Vol 15 No 3 (2023): August 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i3.991

Abstract

This research problem focuses on treating premature babies due to hypothermia so that the baby must be put in an incubator for several days. Conventional intensive care method in premature babies, namely skin-to-skin care method between mother and child. Meanwhile, the latest technological developments, the method is already based on electrical-Internet of Things (IoT) engineering. This research proposes the design of an IoT-based prototype known as a smart incubator. This prototype has been equipped with a real-time monitoring system and system settings using the mamdani fuzzy inference system control method and combined using the Genetic Algorithm (GA) method. The results showed that the ideal temperature range in the smart incubator was 33° C with an accuracy of 99.97% and was in accordance with the fuzzy membership degree in the range of 29° C ≤x≤ 37° C. Furthermore, the ideal relative humidity range in the smart incubator was 60% with an accuracy of 98.60% and was in accordance with the fuzzy membership degree in the range of 59 ≤x≤ 65. Then, the noise range in the smart incubator is 37.9dB to 56.8dB with an accuracy of 96.44% and has been appropriate at the fuzzy membership degree. At a maximum distance of 50cm, it takes 8 seconds for the prototype to detect movement as a safety measure.
Pemanfaatan Teknologi Penginderaan dalam Penentuan Pola Sebaran Biota Laut untuk Pencegahan Ilegal Fishing pada Laut Natuna Utara Guna Mendukung Sistem Pertahanan Negara Debiyanti Debiyanti; Dadang Gunawan; Setyo Budiyanto
Journal on Education Vol 6 No 2 (2024): Journal on Education: Volume 6 Nomor 2 Tahun 2024
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v6i2.5257

Abstract

Indonesia is a maritime country that has a variety of marine biota, especially the North Natuna Sea. This research focuses on the utilization of sensing technology to identify marine biota distribution patterns and prevent Illegal Fishing in the North Natuna Sea. In this context, maritime security becomes a critical aspect, involving not only protection from direct threats such as piracy or smuggling, but also issues such as Illegal Fishing and marine environmental pollution. The research uses the literature study method, collecting and analyzing data from various sources. The results show the importance of integrating advanced technologies such as satellites, radars and unmanned aircraft (UAVs) in maritime surveillance systems. International collaboration, especially with platforms such as the Indo-Pacific Regional Information Sharing (IORIS) and programs such as those run by the United States Coast Guard (USCG), has also proven important in strengthening Indonesia's maritime security capacity. This research emphasizes the importance of combining military and non-military defenses with remote sensing technologies to address threats and disruptions in Indonesia's maritime region.