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CACHE DATA REPLACEMENT POLICY BASED ON RECENTLY USED ACCESS DATA AND EUCLIDEAN DISTANCE Zulfa, Mulki Indana; Muhammad Syaiful Aliim; Ari Fadli; Waleed Ali
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 4 (2023): JUTIF Volume 4, Number 4, August 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.4.1244

Abstract

Data access management in web-based applications that use relational databases must be well thought out because the data continues to grow every day. The Relational Database Management System (RDBMS) has a relatively slow access speed because the data is stored on disk. This causes problems with decreased database server performance and slow response times. One strategy to overcome this is to implement caching at the application level. This paper proposed SIMGD framework that models Application Level Caching (ALC) to speed up relational data access in web applications. The ALC strategy maps each controller and model that has access to the database into a node-data in the in-Memory Database (IMDB). Not all node-data can be included in IMDB due to limited capacity. Therefore, the SIMGD framework uses the Euclidean distance calculation method for each node-data with its top access data as a cache replacement policy. Node-data with Euclidean distance closer to their top access data have a high priority to be maintained in the caching server. Simulation results show at the 25KB cache configuration, the SIMGD framework excels in achieving hit ratios compared to the LRU algorithm of 6.46% and 6.01%, respectively.
Model Siklus Waktu Lampu Lalu Lintas Cerdas Menggunakan Fuzzy Mamdani Zulfa, Mulki Indana; Aryanto, Andreas Sahir; Fadli, Ari
JURNAL INFOTEL Vol 16 No 2 (2024): May 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v16i2.1106

Abstract

The growth of motorized vehicles in Indonesia has increased significantly. According to data from the Central Bureau of Statistics, the number of motorized vehicles in Indonesia has increased by around 10% each year in the last five years. One of the negative impacts of the increasing number of motorized vehicles is traffic congestion. Traffic congestion has become a serious problem in several cities in Indonesia. One of the causes is the increase in the number of vehicles at road intersections, which has an impact on congestion and the safety of road users. The rapid growth in the number of vehicles requires a more comprehensive strategy to reduce congestion and accidents at road intersections. Therefore, the need for Intelligent Transportation System, especially on the time-cycle configuration of intelligent red light is very important. This research aims to model the time-cycle of the red light using the Mamdani Fuzzy Inference System to simulate the green light time configuration so as to reduce the waiting time of road users at highway intersections. The simulation results show that the time-cycle configuration and green light time length of the Mamdani Fuzzy calculation are more varied relative to the number of vehicles. The values are relatively smaller than 6 to 54 seconds from the time configuration set by the local Department of Transportation. This shows a time efficiency for road users of up to 27%, which means that road users can complete trips 6 to 13 seconds faster.
Aplikasi Bot Telegram Pada Sistem Presensi dan Pengukuran Suhu Tubuh Berbasis IoT Rachmat Trishardian; Ari Fadli; Muhammad Syaiful Aliim; Retno Supriyanti; Yogi Ramadhani
Jurnal Teknik Elektro dan Komputer TRIAC Vol 9, No 2 (2022): Special Edition
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v9i3.15752

Abstract

Coronavirus atau virus Covid-19 merupakan virus berbahaya dan sangat menular. Berdasarkan data dari worldometers.info per tanggal 30 Januari 2022 terdapat 375,001,247 kasus virus Covid-19 di seluruh dunia. Mengingat masih tingginya kasus virus Covid-19, maka diperlukan upaya untuk mencegah penyebaran virus Covid-19. Selain menerapkan perilaku hidup sehat, upaya pencegahan penyebaran virus Covid-19 juga dapat dilakukan dengan menciptakan inovasi teknologi. Salah satu inovasi teknologi tersebut adalah pemanfaatan bot Telegram pada sistem presensi dan pengukuran suhu tubuh berbasis internet of things (IoT) sebagai media pemantauan data, media pelaporan, dan media notifikasi. Bot Telegram ini berfungsi untuk menjalankan perintah dan memberikan pesan balasan sesuai dengan permintaan pengguna. Dalam penelitian ini, bot Telegram dibuat dengan menggunakan bahasa pemrograman PHP yang dikombinasikan dengan sebuah framework agnostic BotMan. Adapun metode pertukaran informasi pada bot Telegram dibangun dengan menggunakan metode webhook sehingga proses pertukaran informasi dapat dilakukan secara real time tanpa membutuhkan jeda waktu tertentu. Bot Telegram yang telah dibuat kemudian diuji dengan menggunakan black box testing berbasis equivalence partitions. Dari hasil pengujian, bot Telegram mampu menjalankan perintah pengguna sesuai dengan harapan sebanyak 20 dari 20 kali pengujian. Selain menguji kemampuan bot Telegram dalam menjalankan fungsinya, kemampuan bot Telegram dalam menanggapi perintah pengguna juga turut diuji. Dari 15 kali pengujian response time, bot telegram memiliki total rata – rata response time keseluruhan sebesar 0,9 detik yaitu termasuk ke dalam kategori cepat