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All Journal Jurnal Teknologi Informasi dan Multimedia Jambura Journal of Electrical and Electronics Engineering Jurnal Tecnoscienza Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Prosiding Seminar Nasional Pengabdian Kepada Masyarakat PIKAT Jurnal Teknologi Informasi Indonesia Sasambo: Jurnal Abdimas (Journal of Community Service)
Riska Kurniyanto Abdullah
Institut Teknologi Kalimantan
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mathematics Public Health Social Sciences Other

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Implementing AES-RSA Hybrid Encryption to Enhance the Security of Salary Slip Distribution Information System Abdullah, Riska Kurniyanto; Azhar, Nur Fajri; Mujahidin, Syamsul; Hoan, Richard Owen
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.28737

Abstract

This study aims to enhance security and efficiency in the digital distribution of salary slips within the XYZ Higher Education environment. The proposed method combines hybrid encryption using the Advanced Encryption Standard (AES-128) and Rivest–Shamir–Adleman (RSA) algorithms, as well as integrates Time-Based One-Time Password (TOTP) for two-factor authentication. This approach ensures the confidentiality of sensitive data while minimizing the potential for data leakage or unauthorized access to employee salary information. In its implementation, the system is designed using the Laravel framework and the Scrum software development methodology, enabling an iterative, measurable, and easily adaptable development process. Testing results indicate that the system can distribute salary slips with an average data encryption time of 0.15 milliseconds per slip (using AES-128), and an average AES key decryption time with RSA of 5 milliseconds per operation over 100 test iterations. Furthermore, when two-factor authentication (TOTP) was applied, the rate of unauthorized access attempts dropped to 0% across 50 brute force attack simulation attempts. Thus, the hybrid encryption approach is proven effective in maintaining data integrity, and the integration of TOTP enhances user authentication security. These quantitative findings establish the system as a more measurable reference model for other institutions seeking to manage sensitive data securely, efficiently, and reliably.Penelitian ini bertujuan untuk meningkatkan keamanan dan efisiensi dalam pendistribusian slip gaji secara digital. Metode yang diusulkan yaitu memadukan enkripsi hibrida menggunakan algoritma (Advanced Encryption Standard) AES-128 dan (Rivest–Shamir–Adleman) RSA, serta mengintegrasikan Time-Based One-Time Password (TOTP) sebagai autentikasi dua faktor. Pendekatan ini memastikan kerahasiaan data sensitif, sekaligus meminimalkan potensi kebocoran atau akses tidak sah terhadap informasi gaji karyawan. Dalam implementasinya, sistem dirancang menggunakan kerangka kerja Laravel dan metodologi pengembangan perangkat lunak Scrum, sehingga memungkinkan proses pengembangan yang iteratif, terukur, dan mudah diadaptasi. Hasil pengujian menunjukkan bahwa sistem dapat mendistribusikan slip gaji dengan rata-rata waktu enkripsi data sebesar 0,15 milidetik per slip (menggunakan AES-128) dan waktu dekripsi kunci AES menggunakan RSA rata-rata 5 milidetik per operasi, pada skenario 100 percobaan. Selain itu, saat pengujian autentikasi dua faktor (TOTP) diterapkan, tingkat kegagalan akses tidak sah menurun hingga 0% pada 50 percobaan simulasi serangan bruteforce. Dengan demikian, enkripsi hibrida terbukti efektif dalam menjaga integritas data, dan integrasi TOTP meningkatkan tingkat keamanan autentikasi pengguna. Hasil kuantitatif ini dapat dijadikan sebagai model acuan yang lebih terukur bagi institusi lain yang ingin mengelola data sensitif secara aman, dan andal.
Implementasi Sistem Monitoring Tanaman Hidroponik Menggunakan Metode Fuzzy Sugeno Tegar Palyus Fiqar; Fitriani Fitriani; Riska Kurniyanto Abdullah
Jurnal Teknologi Informasi dan Multimedia Vol. 5 No. 2 (2023): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v5i2.372

Abstract

Farming using hydroponic systems has emerged as an effective alternative to address the problem of limited agricultural land. However, hydroponic farming requires strict maintenance and control. In light of these challenges, the development of monitoring technology is necessary to assist in monitoring and controlling hydroponic systems. The development of a monitoring system is carried out to address the challenges of maintenance and control in hydroponic farming through the development of effective and accurate monitoring technology, thus enhancing the overall productivity and success of hydroponic plant cultivation. This study aims to develop a monitoring system using Arduino Mega 2560, Wemos D1 R2, E201 sensor, DHT22 sensor, HC-SR04 sensor, and BH1750 sensor. In this research, the fuzzy logic method was applied to generate outputs for the water pump actuator, pH up pump, and pH down pump. The HC-SR04 and E201 sensor data served as fuzzy inputs, while the Arduino Mega 2560 functioned as the fuzzy data processor, and the Wemos D1 R2 was responsible for sending data to the server via the internet. The data successfully stored in the server's database would be displayed on the monitoring dashboard. The HC-SR04 sensor testing results showed an average %error of 0% and an accuracy of 100%. The E201 sensor exhibited an average %error of 0.07% and an accuracy of 99.33%. The DHT22 sensor had an average %error of 0.05% and an accuracy of 99.49% for temperature data, while for humidity data, it had an average %error of 2.58% and an accuracy of 75.23%. The BH1750 sensor had an average %error of 0.13% and an accuracy of 99.66%. The results of this study demonstrate that the hydroponic plant monitoring system using the described devices and methods can be implemented successfully.
Co-Authors Aditya Osama Hakim Efendy Aninditya Anggari Nuryono Azhar, Nur Fajri Bowo Nugroho Dewi Anjani Eko Agung Syaputra Ema Utami Fitriani Fitriani Fitriani Frengki Eka Putra Surusa Fudhail, Muhammad Thariq Hoan, Richard Owen Humonggio, Ribhanrio Insan Kamil, Muhammad Izhar Ihsan Nurramadhany Mualief Ismail Muhammad Arifansyah Muhammad Asri Nindia Rifka Sugiharti Putri Ramadhan Paninggalih Rifaldi S. Poliyama Rizal Kusuma Putra Syahrir Abdussamad Syamsul Mujahidin, Syamsul Tegar Palyus Fiqar Vika Fitratunnany Insanittaqwa