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Waktu Respons Transmisi Data Dalam Impelentasi Algoritma A-Star Pada Sistem Pengambilan Tempat Sampah IoT Berbasis Telegram Sabuna, Sasridarti Tari Sejahtera; Marisa Midyanti, Dwi; Kasliono, Kasliono
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10393

Abstract

Effective waste management requires an efficient monitoring system and collection route determination. One of the main challenges is the delay in delivering information that is not yet integrated into an automated schedule. To address this, this research designs an IoT-based waste bin monitoring and collection route determination system using the A-Star algorithm, as this algorithm can efficiently determine routes by considering the distance between nodes as well as the waste volume conditions. The system is equipped with a website that displays the waste volume conditions at each node, with the resulting routes sent to officers via the Telegram platform. The focus of this research is to analyze the system's performance, specifically the data transmission response time, which is defined as the time span starting from when the sensor detects the waste volume, data is sent by the ESP32 to the server, the server processes the algorithm, until the route information or notification is received by the user. The results show that the average processing time of the A-Star algorithm on the server is 0.0135 s, the average data transmission delay is 1.2659 s or 1265.9 ms, which is categorized as POOR based on the TIPHON standard, and the average system update time is 6.38473 s.
Vigenere Cipher Cryptography for Secure Data Transmission in IoT Smart Door Using QR Code Arasyid, Riski; Bahri , Syamsul; Kasliono
Jurnal Media Informasi Teknologi Vol. 3 No. 1 (2026): Februari 2026
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mit.v3i1.250

Abstract

The Smart Door system based on the Internet of Things (IoT) using QR Code offers automated access but remains vulnerable to data sniffing attacks. This study implements the Vigenère Cipher algorithm to encrypt transmitted data and analyzes the ciphertext's resistance to attacks as well as its impact on communication delay. The system is built using ESP32-CAM as the QR scanner and NodeMCU ESP32 as the main controller, with encryption applied across three communication paths: ESP32-CAM to server, server to database, and server to ESP32. Testing involved data sniffing, delay analysis, and ciphertext evaluation using tools such as dCode and CryptoTool. From 20 sniffed QR Code results, 10 random samples were tested, and only 3 were recognized as Vigenère Cipher and none were decrypted successfully. In the server-to-ESP32 path, only 1 out of 10 ciphertexts was detected and all remained undeciphered. The average delay was recorded at 2.473 seconds (door unlocking) and 3.491 seconds (buzzer activation), with variations due to network stability. The results indicate that Vigenère Cipher effectively enhances data security in resource-constrained IoT devices, although delay optimization is needed to meet real-time system requirements.
Implementasi Algoritma Kriptografi RSA untuk Keamanan Transmisi Data pada Sistem Monitoring Energi Listrik Berbasis IoT Rajawali Rajawali; Syamsul Bahri; Kasliono Kasliono
Journal of Information System Research (JOSH) Vol 7 No 3 (2026): April 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i6.8232

Abstract

Data security is a crucial issue in Internet of Things (IoT) systems used to monitor electricity consumption. This study aims to enhance the security of data transmission in an IoT-based electricity monitoring system by implementing the Rivest–Shamir–Adleman (RSA) cryptographic algorithm. Data from the PZEM-004T sensor is encrypted using the RSA public key and verified with a digital signature before being transmitted to the server. The system was tested under two conditions: without encryption and with RSA encryption, including a simulated ARP spoofing attack using Ettercap. The results show that the system successfully rejected manipulated data, with a packet loss rate of 2.08%, which is categorized as “very good” based on the TIPHON standard, and achieved a throughput of approximately 9.88 bit/s. The implementation of RSA proved effective in maintaining data integrity and authenticity, thereby improving the reliability of the IoT-based electricity monitoring system.
Sistem Pemantauan Suhu, Kelembapan Udara dan pH Air pada Rumah Anggur berbasis Internet of Things Menggunakan Aplikasi Website Mislaini Mislaini; Ikhwan Ruslianto; Kasliono Kasliono
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 1 (2023): September 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6675

Abstract

Grapes are plants that are difficult to grow in tropical climates. It requires specific enviromental conditions as well as special care, with optimal growth of grapes occuring in lowlands (0-300 masl) with a humidity score ranging from 75% - 80% humidity and temperatures between 23°C - 31°C, and a water pH level from 5.5 pH - 7.3 pH. To achieve these ideal conditions, technology in the form of an Internet of Things (IoT) system and a greenhouse is used in order to monitor and control the grapes' growing environment. The use of this technology aims to improve efficiency and productivity by taking into account the temperature, humidity and water pH level as factors which affect the growth, quality, and yield of grapes. Research result shows that the use of IoT technology in controlling temperature and humidity air effectively increases the productivity of grapes. This can be seen from the increase in the number of leaves, stem length, and number of shoots on grapes that were monitored and controlled by the IoT system. The results of testing the accuracy of each sensor by conducting 15 experiments show that the average water pH measurement accuracy is 0.1%, while temperature measurements and air humidity has an average accuracy of 0.1% and 0.3% respectively. In addition, the average response time of the system in controlling mist makers, fans and pumps alkaline is 3 seconds based on 15 tries.