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All Journal JTERA (Jurnal Teknologi Rekayasa) Jurnal RESISTOR (Rekayasa Sistem Komputer) Jurnal Teori dan Aplikasi Fisika
Afifah Dwi Ramadhani
Institut Teknologi Telkom Purwokerto
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics

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Penentuan Titik Pengamatan Optimal Terhadap Kualitas Udara pada Gas Keluaran Diffuser berbasis Internet of Things Irmayatul Hikmah; Afifah Dwi Ramadhani; Fikra Titan Syifa
Jurnal Teori dan Aplikasi Fisika Vol 9, No 2 (2021): Jurnal Teori dan Aplikasi Fisika
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v9i2.2754

Abstract

Indoor air quality needs attention, especially during the COVID-19 pandemic because the majority of activities are carried out indoors. The air in the room must be protected from the threat of harmful virus and bacterial contaminants. One such innovation is placing diffuser in the room. Diffuser is a device that converts liquid into gas particles in the air. To reduce harmful virus contamination, a natural antiseptic liquid is filled into the diffuser, one of which is papermint essential oil, which can provide freshness in the room. Air quality is monitored with internet of things (IoT) technology so that users can easily control air quality with just a PC/gadget. The gas output from the diffuser is detected by a gas sensor that is connected to the wemos board so that the data can be connected to the internet cloud. To obtain optimal air quality data, the placement of gas sensors in the area around the diffuser as a point of observation needs to be considered because the distribution of gas in the air is influenced by the vertical wind speed in the room, this can affect the quality of the data generated. This study aims to determine the optimal observation point on an IoT-based diffuser so that the resulting air quality data is more accurate. In this study the gas sensor was placed at a distance of 15 and 25 cm from the diffuser. The direction of the gas sensor placement was adjusted according to the angle of the full circle ranging from 0°, 45°, 90°, 135°, 180°, 225°, 270°, 315°, and 0°. The distribution of gas is influenced by the vertical wind speed in the room causing the air quality data at a vertical angle to always have the same pattern. From the results obtained, the optimal observation point as a reference for the position of the gas sensor to the diffuser is at an angle between 135°-180° as well as at an angle between 315° -0°.
Analisis Performansi Data Plane Development Kit Terhadap Open Virtual Switch pada Jaringan Virtual Nanda Iryani; Afifah Dwi Ramadhani; Queenta Paradissa Ramadhani
JTERA (Jurnal Teknologi Rekayasa) Vol 6, No 1: June 2021
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v6.i1.2021.93-100

Abstract

Virtualisasi merupakan teknologi yang digunakan untuk merubah sesuatu yang bersifat fisik ke dalam bentuk virtual. Jaringan virtual dalam virtualisasi membutuhkan switch virtual untuk menghubungkan sejumlah virtual mesin. Switch virtual yang umum digunakan adalah Open vSwitch. Paket yang melewati Open vSwitch diteruskan dengan cara mencocokkan flow entries yang ada di flow table. Hal ini membuat pemrosesan paket relatif lebih lambat karena melewati banyak space. Data Plane Development Kit (DPDK) hadir dalam bentuk extended packet yang menawarkan kinerja pemrosesan paket secara lebih efisien. Penelitian ini melakukan penerapan DPDK pada Open vSwitch sekaligus menganalisis performansinya terhadap parameter Quality of Service (QoS) yang diterapkan pada jaringan virtual. Metode yang digunakan yaitu melalui peningkatan background traffic sebesar 100 Mb, 150 Mb, dan 200 Mb dengan mengirimkan traffic protokol Transmission Control Protocol (TCP) sebanyak 30 kali pengujian selama 20 detik. Parameter QoS yang diukur yaitu delay, jitter, throughput, dan packet loss. Penelitian ini membuktikan bahwa penerapan DPDK pada Open vSwitch berhasil meningkatkan performansi QoS pada jaringan sebesar 21%. Nilai delay, jitter, dan packet loss menurun, sedangkan throughput meningkat seiring bertambahnya ukuran data. Hasil pengukuran parameter QoS secara keseluruhan termasuk dalam kategori sangat baik berdasarkan standar rekomendasi menurut ITU-T G.1010.
ANALISA SISTEM POSITIONING OBJEK PADA AREA INDOOR BERBASIS BLE DAN RASPBERRY PI Afifah Dwi Ramadhani; Achmad Ilham Imanuddin; Kholidiyah Masykuroh
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 5 No. 1 (2022): Jurnal RESISTOR Edisi April 2022
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v5i1.925

Abstract

BLE technology can assist in indoor positioning system (IPS) applications. The IPS has an important role in determining the position of objects that are useful for monitoring or tracking. One of the methods is trilateration by utilizing the RSSI value between the transmitter and receiver to calculate the distance. In addition, we can use indoor paths loss modeling to calculate the distance. However, the RSSI method still has weaknesses due to fluctuations in measurement values caused by the effect of multipath and attenuation on the signal. So that there will be an error while we estimate the position and causes the accuracy to be weak. Besides the fluctuation of RSSI, the accuracy is also influenced by the geometric position between the transmitter and receiver. Geometric Dilution of Precision is a method that calculates the geometric value. In this study, we applied object positioning techniques using the BLE devices and the trilateration method. We analyzed the position accuracy by considering the mean of RSSI, the median of RSSI, and GDOP. The results show that taking into account the GDOP, the accuracy increases by 53% compared to the average RSSI scenario. And the accuracy value also increased 63% compared to the median RSSI scenario.
Co-Authors Achmad Ilham Imanuddin Fikra Titan Syifa Irmayatul Hikmah Kholidiyah Masykuroh Nanda Iryani Queenta Paradissa Ramadhani