Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : IJoICT (International Journal on Information and Communication Technology)

Error Correction Codes Performance using Binary Phase Shift Keying over Fading Channel Hilal Hudan Nuha; Abdi T. Abdalla
International Journal on Information and Communication Technology (IJoICT) Vol. 8 No. 1 (2022): June 2022
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/ijoict.v8i1.646

Abstract

In a communication system, two main resources are used: transmission power and channel bandwidth. Transmission power is the average power of the transmitted signal. Channel bandwidth is defined as the frequency band allocated for the transmission of the message signal. A goal of general system design is to use these two resources as efficiently as possible. This scientific paper presents the experimental results of the Binary Phase Shift Keying (BSK) communication system on the additive white gaussian noise (AWGN) channel and the Fading channel. To improve system performance, error correction code (ECC) is used for encoding. ECC used include convolutional code (ConvCode) and Hamming code. Experimental results show that for BER=10^(-4) the coding gain of the ConvCode over Hamming code under AWGN is G=0.475dB. Whereas the coding gain of the ConvCode over unencoded BPSK is G=19.6dB.
Performance Analysis of TCP Fractional Window Increment and Adaptive Fractional Window on IEEE 802.11 Multihop Ad Hoc Networks Arnas Sofyan; Vera Suryani; Hilal Hudan Nuha
International Journal on Information and Communication Technology (IJoICT) Vol. 9 No. 1 (2023): June 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/ijoict.v9i1.716

Abstract

TCP, a layer 4 transport protocol, plays a crucial role in both wireless and wired networks. However, its performance in wireless networks is often unsatisfactory due to issues such as bandwidth limitations and utility problems with lower network layers. The mobility effect further exacerbates TCP's performance, as it fails to distinguish between connection failure and congestion-induced connection loss. In response to this challenge, researchers have explored potential solutions and found that TCP FeW outperforms the existing TCP NewReno. Building upon this background, this paper aims to simulate and analyze the performance of TCP AFW and TCP FeW in an IEEE 802.11 network. The simulations conducted using ns2 in a limited environment with random mobile scenarios reveal that TCP AFW achieves a 1.12% higher throughput compared to FeW, even with minimal modifications.
Web-Based Formaldehyde Detection System in Chickens using IOT and Fuzzy Logic Azizurahman Arafah Mufti; Siti Amatullah Karimah, S.T., M.T.; Hilal Hudan Nuha; Endang Rosdiana
International Journal on Information and Communication Technology (IJoICT) Vol. 10 No. 1 (2024): Vol. 10 No.1 June 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/ijoict.v10i1.885

Abstract

Chicken is a widely consumed source of animal protein globally, valued for its high protein content and essential nutrients. Ensuring the freshness of chicken meat is crucial to guarantee its healthiness and prevent harm to consumers. Unfortunately, there are concerns about the use of hazardous substances like formaldehyde by some traders for meat preservation. Formalin, a clear liquid with a pungent odor, is commonly utilized as a food preservative. To address the misuse of formaldehyde in broiler chickens, an innovative solution is proposed involving IoT technology and Fuzzy Logic. The developed formaldehyde detection system employs an ESP8266 microcontroller and a TCS3200 sensor to assess color variations in chicken meat samples mixed with Schiff's reagent. The TCS3200 sensor detects color changes, and the ESP8266 Microcontroller converts measurements into RGB basic colors. Calibration of the sensor yielded a 98.30% relative accuracy at a 3 cm distance. Fuzzy Logic is then applied to determine formaldehyde levels, displayed on an LCD screen. The tool exhibits a 95% reliability for achieving a 0 ppm level, 93% for 40 ppm, 92% for 80 ppm, and 100% for 200 ppm