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All Journal Jurnal Jaringan Telekomunikasi
Nurul Hidayati
State Polytechnic of Malang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Quality of Service Analysis in Hand Gesture Identification Application Based on Convex Hull Algorithm to Control a Learning Media Mitodius Nicho Swacaesar Setiawan; Nurul Hidayati; Rachmad Saptono
Jurnal Jaringan Telekomunikasi Vol 13 No 2 (2023): Vol. 13 No. 02 (2023) : June 2023
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jartel.v13i2.459

Abstract

The technique of human interaction with computers has developed very rapidly. Body movement is the easiest and most expressive way and hand movements are flexible. We can use gestures as a simple identification command. This research discusses the application of hand gesture reading as a remote control for learning media and analyzes its quality of service using Wireshark software. This system uses a Raspberry Pi as a computing center. Raspberry Pi reads hand gestures using the Convex Hull algorithm, which can read the number of fingers raised on the hand by taking the outermost point in the contour scan of the hand. Each gesture in the form of the number of fingers was allocated to the keyboard commands used to select answers on the learning media. On the learning media side, a quiz system was created that uses keyboard commands to select the answers. Then the Raspberry Pi is connected to the laptop using a third-party application called VNC. Based on QoS measurement results, the throughput result is 62 kbps, which is included in the very good category. Packet Loss of 0%, which is also included in the very good category. The delay of 52.2 ms, which is included in the very good category. Thus, the overall quality of the network can be categorized as very good.
Prediction of signal attenuation value caused by weather changes on cellular communication networks using backpropagation algorithm Hudiono Hudiono; Aurel Yllonia; Amalia Eka Rakhmania; Nurul Hidayati
Jurnal Jaringan Telekomunikasi Vol 12 No 4 (2022): Vol. 12 No. 04 (2022) : December 2022
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jartel.v12i4.548

Abstract

The value of signal attenuation by the resulting weather changes may differ at any time. The collection of signal power data with different times, weather, humidity, rainfall, and temperatures using the drive test method in Malang area will be processed using machine learning methods and backpropagation algorithms. The process is carried out using Matlab software. In this study, data collection is carried out on four BTS ranges. In addition to these data, it is also necessary to calculate the value of signal attenuation by weather changes in order to find out whether the weather category is good or bad for telecommunications activities. When the weather is sunny and cloudy it has an RSSI range value of -85 dBm to -75 dBm, while in cloudy and rainy weather it has an RSSI range of -104,2 dBm to -87 dBm. Data from the results of the drive test measurements obtained the signal attenuation value by the largest weather change of 40.49718 dB and the largest rainfall of 681.8 mm / hour. Based on the test data, the signal attenuation value when the weather is sunny and cloudy is worth 0.096164 dB to 8.61604 dB, and in cloudy and rainy weather it has a greater attenuation value, from 12.3466 dB to 21.0098 dB. Using the backpropagation algorithm, the accuracy rate in this prediction reaches 99.7 %.
Further simulation testing in CoopMAC-U for underwater acoustic sensor networks Muhammad Syirajuddin S.; Nurul Hidayati; Rieke Adriati Wijayanti; Ahmad Wilda Yulianto; Dianthy Marya
Jurnal Jaringan Telekomunikasi Vol 13 No 1 (2023): Vol. 13 No. 01 (2023) : March 2023
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jartel.v13i1.642

Abstract

In order for underwater wireless sensor networks to communicate more efficiently, MAC protocols are needed to control the use of acoustic channels. With the high propagation delay and the limited bandwidth available on the acoustic channel, a specially designed MAC protocol is needed for UWASN (Underwater Acoustic Sensor Networks). In this research, the adaptation of Cooperative MAC for underwater (CoopMAC-U) will be further studied to test the protocol performance. In the previous research, CoopMAC-U was simulated yet the fairness of the transmission was not simulated and tested. In this research, CoopMAC-U will be studied further and improved. The simulation result shows that the Improved CoopMAC-U protocol produces better-normalized throughput than the initial version of CoopMAC-U. The protocol is also proven that it is backward compatible between conventional mode and cooperative mode. For offered load greater than 0.2, both the initial version of CoopMAC-U and the Improved CoopMAC-U result in stagnant normalized throughputs but the improved ones double the value of the initial version.
Design and Build Automatic Catfish Feeding System Biofloc Muhammad Naufal Apsara Firyadha Naufal; Nurul Hidayati; Waluyo Waluyo
Jurnal Jaringan Telekomunikasi Vol 13 No 2 (2023): Vol. 13 No. 02 (2023) : June 2023
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jartel.v13i2.566

Abstract

Catfish is one of the results of freshwater cultivation that is popular with the community and has economic value. The high public interest in catfish, is one of the factors cultivators increase production yields. Feeding and treatment of catfish pond water still uses human resources. This reduces the efficiency of the farmer and allows for negligence in providing feed and water treatment if the farmer has a large number of ponds or more than one. In this study, it is proposed to control and monitor feeding and water treatment with a biofloc system automatically and regularly, with the catfish biofloc system also obtaining natural food when the feeding schedule is raining. It takes a wireless sensor network system as a control system, fc-37 sensor, Total Dissolved Solids (TDS), Loadcell, Real Time Clock (RTC). All of these sensors will be integrated with the Arduino Uno which will then send data from each sensor to the Raspberry Pi with the nRF24l01 communication module. The results of this study are monitoring the appearance of the web server processed by the Raspberry Pi which shows feed availability, pond conditions and turbidity levels. From the experimental results, it is found that the planned system can work well and as desired.
Co-Authors Ahmad Wilda Yulianto Amalia Eka Rakhmania Aurel Yllonia Dianthy Marya Hudiono Hudiono Mitodius Nicho Swacaesar Setiawan Muhammad Naufal Apsara Firyadha Naufal Muhammad Syirajuddin S. Rachmad Saptono Rieke Adriati Wijayanti waluyo waluyo