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Journal : Bulletin of Engineering Science, Technology and Industry

IMPLEMENTATION OF THE VIGENERE CRYPTOGRAPHY ALGORITHM IN THE LHOKSEUMAWE STATE POLYTECHNIC CLOUD STORAGE SYSTEM Dede Kurniawan; Indrawati; Hari Toha Hidayat; Martin Uribe
Bulletin of Engineering Science, Technology and Industry Vol. 1 No. 3 (2023): September
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v1i3.15

Abstract

Cloud storage is a technology used to store data online. However, this technology also poses problems in terms of security. Therefore, the author wants to build a cloud storage system by implementing cryptographic security to secure data. By implementing cryptographic techniques in cloud storage, users don't need to worry about data loss or theft. The cryptographic method applied is the Vigenere Cipher algorithm, which is a classic type of cryptography. Cloud storage is applied to public and private networks to test the comparison of data encryption times. Based on tests carried out, implementation on private networks is better with an average time of 3.84 seconds for encryption and 253.6 milliseconds for decryption. Meanwhile, on public networks, the average time is 45.3 seconds for encryption and 392 milliseconds for decryption. To measure whether cryptography is effective or not, the avalanche affect method is used which produces a value of 1.4% to 7% with an average of 3.92%.
IOT MONITORING WATER NEEDS IN RICE FIELDS Nanang Prihatin; Hari Toha Hidayat; Mursyidah; Hafhis Gustiawan
Bulletin of Engineering Science, Technology and Industry Vol. 2 No. 2 (2024): June
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v2i1.30

Abstract

Water management is a very important role in the success of increasing rice production in fields. This study took a case study on irrigated rice fields. In an effort to improve the quality and efficiency of water management in rice fields, a good monitoring system is also needed. Generally, monitoring has been done manually so far, the interaction between farmers and irrigation officers is still using the telephone, which costs a lot of money. With the IoT (Internet of Things) technology, it can be applied to a monitoring system for managing water needs in rice fields using mobile-based AHP, which is a system that provides notifications in the form of information on water levels and the best humidity values for rice plants in rice fields in real-time and is able to deliver reports via internet transmission media. This study aims to obtain the value of report delivery speed through monitoring applications and to be able to detect water levels and soil moisture in paddy fields using the Analytical Hierarchy Process (AHP) method and sensor accuracy so that the results are as expected. The research data has been obtained by looking at the suitability of soil moisture information in the application with the ETP302 measuring instrument with an accuracy value of 86.12% and the water level in applications with an actual water level of 66.35%. In testing the speed of sending reports an average value of 1.67 s. In the best soil moisture detection test using the AHP method, the suitability value is up to 91.7% and the water level reaches 93.4%. The sensor can also be turned off or on through the monitoring application.
IMPLEMENTATION OF CLOUD COMPUTING ON APPLICATIONS MOBILE JOB INFO Resha Russita; Hari Toha Hidayat; Safriadi; Muhammad Nasir
Bulletin of Engineering Science, Technology and Industry Vol. 2 No. 3 (2024): September
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v2i3.66

Abstract

Job vacancy info mobile application has now become an important tool for job seekers in the digital era since the COVID-19 pandemic which recorded a significant spike in the number of unemployed people in Indonesia. In facing this challenge, cloud computing implementation is a crucial solution. This research aims to test performance using the stress testing method and test cloud services from Google Cloud Platform using the Quality of Service (QoS) method. The results show that the server can withstand loads of up to 7000 users simultaneously within 180 seconds or 3 minutes. QoS testing shows that cloud services from Google Cloud Platform achieve an average throughput of 1301.4 kbps with a packet loss rate of 0.54%, an average delay of 0.0019 ms, and an average jitter of 0.00 ms. These results confirm that the implementation of cloud computing in the mobile application of job vacancy information can improve efficiency and quality of service, in accordance with the demands of a dynamic labor market and facing a significant surge in users.