Claim Missing Document
Check
Articles

Found 15 Documents
Search

All-in-one computation vs computational-offloading approaches: a performance evaluation of object detection strategies on android mobile devices Muhammad Abdullah Rasyad; Favian Dewanta; Sri Astuti
JURNAL INFOTEL Vol 13 No 4 (2021): November 2021
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v13i4.700

Abstract

Object detection gives a computer ability to classify objects in an image or video. However, high specified devices are needed to get a good performance. To enable devices with low specifications performs better, one way is offloading the computation process from a device with a low specification to another device with better specifications. This paper investigates the performance of object detection strategies on all-in-one Android mobile phone computation versus Android mobile phone computation with computational offloading on Nvidia Jetson Nano. The experiment carries out the video surveillance from the Android mobile phone with two scenarios, all-in-one object detection computation in a single Android device and decoupled object detection computation between an Android device and an Nvidia Jetson Nano. Android applications send video input for object detection using RTSP/RTMP streaming protocol and received by Nvidia Jetson Nano which acts as an RTSP/RTMP server. Then, the output of object detection is sent back to the Android device for being displayed to the user. The results show that the android device Huawei Y7 Pro with an average FPS performance of 1.82 and an average computing speed of 552 ms significantly improves when working with the Nvidia Jetson Nano, the average FPS becomes ten and the average computing speed becomes 95 ms. It means decoupling object detection computation between an Android device and an Nvidia Jetson Nano using the system provided in this paper successfully improves the detection speed performance.
Caching and Forwarding Mechanism for Smart Grid Communications Networks Arif Faturrachman; Fakhri Rahmatullah; Sayid Huseini Elfarizi; Ratna Mayasari; Ridha Muldina Negara; Sri Astuti; Kharisma Bani Adam; Arif Indra Irawan
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 2 No 03 (2023): September 2023
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v2i03.6292

Abstract

A smart grid aims to integrate alternative and renewable energy sources. NDN has the advantage of being better than IP networks and can optimize the delivery of information. The concept of Named Data Networking (NDN) is designed for smart grid systems. This study aims to implement the NDN concept on a smart grid system and analyze forwarding and caching strategies. The implementation of the system strategy is supported using the NDN network topology, which is based on IEEE 39. The author evaluates network performance by paying attention to parameters such as delay and cache hit ratio. From the data the author obtained, it can be concluded that the best route-LRU and client control-LRU systems are better choices to be implemented in a smart grid communication system than the best route-FIFO and client control-FIFO systems. In other words, the LRU caching override method is superior to the FIFO caching override method. Meanwhile, the forwarding method does not show significant graphical results. This happens because the forwarding method that the authors use has the same route determination. Something that differentiates between the best route and client control is only the control of selecting the path. The best route is controlled by the producer, and client control is controlled by the consumer.
Perancangan Sistem Pemodelan Mikrokontroller Wemos D1 Sebagai Pembatasan Populasi Orang Berbasis Internet Of Things Muh Naufal Setiawan P; Sofia Naning Hertiana; Sri Astuti
eProceedings of Engineering Vol 10, No 5 (2023): Oktober 2023
Publisher : eProceedings of Engineering

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

Abstract

Pada era saat ini teknologi semakin berkembang.Hal terpenting dalam kehidupan manusia adalah kesehatan.Sekarang pasien Covid-19 sudah meredah akan tetapimunculnya virus baru yang menyebabkan jumlahnya terusmeningkat. Dimana pemerintah memberlakukan peraturansocial distancing dan menggunakan protokol kesehatan.Dimana mesin yang digunakan sebagai alat bantu kinerjamanusia merupakan teknologi masa kini yang merupakan hasildari perkembangan Internet of Things. Hasil yang diharapakandalam penelitian ini, alat dapat mementukan jumlah orangyang masuk dalam ruangan sehingga mempermudah penggunamelakukan pengontrolan dan menghitung setiap orang yangmasuk dalam ruangan sehingga dapat di monitor menggunakanid card menggunakan sensor RFID Reader RC522 untukmendapatkan jumlah orang yang masuk dan keluar dari sistembenar-benar akurat dan dari sensor RFID Reader RC522 keWemos D1 Mini akan mengirimkan jumlah data orang yangmasuk ke ruangan dan Firebase sebagai database.Kata kunci— Wemos D1 Mini, RFID Reader RC522,Internet of Things, Firebase
Impact of Segmentation and Popularity-based Cache Replacement Policies on Named Data Networking Ridha Muldina Negara; Novan Purba Wasesa; Zaid Muhammad; Ratna Mayasari; Sri Astuti
Jurnal Rekayasa Elektrika Vol 20, No 1 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v20i1.34309

Abstract

The data distribution mechanism of internet protocol (IP) technology is inefficient because it necessitates the user to await a response from the server.  Named data networking (NDN) is a cutting-edge technology being assessed for enhancing IP networks, primarily because it incorporates a data packet caching technique on every router. However, the effectiveness of this approach is highly dependent on the router's content capacity, thus requiring the use data replacement mechanism when the router capacity is full.  The least recently used (LRU) method is employed for cache replacement policy; yet, it is considered ineffective as it neglects the content's popularity. The LRU algorithm replaces the infrequently requested data, leading to inefficient caching of popular data when multiple users constantly request it.  To address this problem, we propose a segmented LRU (SLRU) replacement strategy that considers content popularity. The SLRU will evaluate both popular content and content that has previously been popular in two segment categories, namely the probationary and protected segments.  Icarus simulator was used to evaluate multiple comprehensive scenarios.  Our experimental results show that the SLRU obtains a better cache hit ratio (CHR) and able to minimize latency and link load compared to existing cache replacement policies such as First In, First Out (FIFO), LRU, and Climb.
The Effect of the "Less Waste, More Coffee" Campaign towards Increasing Green Awareness of Indonesian Work Coffee Consumers Shyiva Sarah Salsabila; Sri Wahyuning Astuti
Jurnal Ilmiah Komunikasi Makna Vol 12, No 1 (2024): Februari 2024
Publisher : Program Studi Ilmu Komunikasi FBIK Unissula

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/jikm.v12i1.35429

Abstract

This research aims to determine the effect of the "Less Waste, More Coffee" campaign on increasing green awareness of Work Coffee Indonesia consumers. The population in this research is Indonesian Work Coffee consumers with specified criteria. The sampling method uses accidental sampling technique. Types of primary and secondary data using simple linear regression analysis techniques. The results of descriptive data research on the campaign variable (X) show a magnitude of 83.69% and the green awareness variable shows a magnitude of 79.42%, which means that both variables are rated high based on the position of the continuum line. In the t hypothesis test, it was found that each independent variable and dependent variable had an influence. So, the campaign was proven to have an effect on increasing green awareness with an overall significance level of 0.000 (0.000 < 0.05) and it was found that H0 was rejected and H1 was accepted. So the campaign has an effect on increasing green awareness of Work Coffee Indonesia consumers.