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Journal : JISICOM (Journal of Information System, Infomatics and Computing)

Evaluasi Kinerja Marketing Menggunakan Metode Simple Additive Weighting (SAW) Berbasis WEB pada PT. XYZ Group Lubis, Hendarman; Fitriyani, Aida; Hendharsetiawan, Andy Achmad
Journal of Information System, Informatics and Computing Vol 8 No 2 (2024): JISICOM (July-December 2024)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v8i2.1660

Abstract

XYZ Group is an independent property consulting company that provides services ranging from consulting services to running an effective, efficient and professional sales system with a mission in the field of housing sales. The core problem that exists is that the employee assessment process is still conventional so it takes a long time and there is no system and application that supports the employee assessment process. The methodology used in this research is: Observation Methodology, Interview Methodology, Literature Methodology. The software development used is the RAD method, in this method there are three stages, namely: Requirements Planning, RAD design workshop, Implementation. In designing the decision support system at PT.XYZ Group using the Rapid Application Development (RAD) method. After the system has been analyzed and designed in detail, the next stage that will be carried out is the system implementation stage in the form of implementing a decision support system at PT.XYZ Group which is ready to be used. The aim of the system design concept that has been prepared is so that if an error occurs in the system it can be corrected again. This Decision Support System can make it easier for the company to determine the best marketing person who will fill the position being promoted. The Decision Support System is able to provide alternatives in determining the best marketing using the Simple Additive Weighting (SAW) method. The output from this Decision Support System can sort employee rankings from highest to lowest, as well as print reports on the best marketing results.
Keamanan Sistem Login Menggunakan Multifactor Authentication dan Algoritma Hashing Fitriyani, Aida; Lubis, Hendarman; Yaddarabullah, Yaddarabullah; Sari, Rafika
Journal of Information System, Informatics and Computing Vol 9 No 2 (2025): JISICOM (December 2025)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v9i2.2137

Abstract

Login system security is a crucial aspect in digital application development to protect user personal data. This research aims to implement a modern hashing algorithm, Argon2, and add a security layer through Multi-Factor Authentication (MFA) using One-Time Password (OTP) codes. The Argon2 algorithm was chosen because it is memory-hard, configurable, and more resistant to brute-force attacks and rainbow table attacks. The system development method used is the Waterfall method, where the system is developed using the Kotlin programming language with the Jetpack Compose architecture, and the Firebase Authentication and Firestore databases. An OTP is sent to the user after successful registration as additional verification. Implementation results show that the time cost parameter in Argon2id significantly affects hashing execution time, with higher values improving security while remaining within performance tolerances. The combination of Argon2 and MFA successfully provides a more secure login system and is more resilient to cyberattacks than traditional authentication methods. Test results indicate that the Time Cost parameter in Argon2id significantly impacts hashing time. With the following configurations: Time Cost = 1 → 2.028 ms, Time Cost = 2 → 48.623 ms, and Time Cost = 3 → 71.219 ms. Higher parameter values increase execution time but also increase resistance to brute-force attacks. The combination of the Argon2 algorithm and MFA methods results in a more secure and reliable login system than traditional authentication, while remaining responsive in application performance.