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Journal : Jurnal ULTIMA InfoSys

Rancang Bangun Aplikasi Rekapitulasi Obat dengan Menerapkan Tanda Tangan Digital Aulia Tri Rahmawati; Raden Budiarto Hadiprakoso
ULTIMA InfoSys Vol 11 No 2 (2020): Ultima InfoSys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v11i2.1746

Abstract

The current condition experienced by the XYZ Polyclinic is that there is no application built to simplify the service process contained in the polyclinic so that all service processes are still manual. An example is the calculation of the number of drugs that are in and out of use. This calculation takes a long time, is prone to errors in accounting, and consumes many papers. To solve this problem, we develop an application to recap drugs. The drug recapitulation application is based on a website with the WebML method using the CodeIgniter framework and MySQL database. The application produces the result in the form of a PDF file of the drug recapitulation report per month and day. As a security feature, the monthly drug recapitulation report results include a digital signature as proof of authentication, integrity, and anti-denial. The application built has been tested using web testing methods and user acceptance testing to be applied.
Rancang Bangun Aplikasi Naskah Dinas Elektronik Berbasis Web Menggunakan WDLC Nur Annisa Kadarwati Febriyani; Raden Budiarto Hadiprakoso
ULTIMA InfoSys Vol 12 No 1 (2021): Ultima InfoSys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v12i1.1747

Abstract

In the modern era of technological development, the application of electronic official script management is a solution to the administrative and communication challenges of agencies during the pandemic, such as today, where administrative work needs to be done from home (work from home). With the condition of a high level of need, the management of official manuscripts in the XYZ organization still uses conventional methods. So, this raises obstructed letter distribution and loss documents problem, and waste of paper use. We propose the Electronic Service Manuscript Management Application to replace the official script management process that previously applied conventional methods to using electronic methods to solve this problem. Besides, we also implement security aspects in the SHA-512 algorithm to fulfill authentication, AES-128 to meet confidentiality, and RSA2048 to meet integrity and non-repudiation. Apart from the security aspect, functionally, the system is built based on the Guidelines for Electronic Service Manuscripts, which are tailored to the organization's needs. The system development uses the Web Development Life Cycle (WDLC) methodology using the Yii2 framework. From the research results, it is concluded that the Electronic Service Manuscript Management Application has been built according to the needs of the organization and can be a security alternative in the official script management process. Index Terms—digital signature; encryption; official script management; WDLC
CodeGuardians: A Gamified Learning for Enhancing Secure Coding Practices with AI-Driven Feedback Hadiprakoso, Raden Budiarto; Sihombing, Rudolf Paris Parlindungan
ULTIMA InfoSys Vol 15 No 2 (2024): Ultima Infosys: Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v15i2.3858

Abstract

This paper introduces CodeGuardians, a gamified platform designed to improve secure coding practices using AI-driven, real-time feedback. The platform focuses on key secure coding concepts, such as input validation, authentication, session management, and cryptography. Developed using the ADDIE (Analyze, Design, Develop, Implement, and Evaluate) instructional model, CodeGuardians enhances engagement and knowledge retention by incorporating interactive challenges. The AI component, powered by OpenAI, provides adaptive feedback on user-submitted code, helping users to learn secure coding practices more effectively. To assess its impact, a one-group pretest-posttest design was conducted. The results of a paired sample t-test showed a significant improvement in secure coding knowledge (t = 19.50, p = 0.048), confirming the platform’s effectiveness. In addition, the system’s usability was rated highly, with a score of 0.93 on the Computer System Usability Questionnaire (CSUQ), classifying it as "Very Good." The practical implications of this research suggest that CodeGuardians could be implemented in both educational and professional settings to enhance secure coding skills and reduce software vulnerabilities. From a theoretical standpoint, this study advances cybersecurity education by integrating AI-driven feedback into gamified learning environments. The research supports the theory that gamification improves engagement and learning retention, while also highlighting the value of adaptive technologies in addressing real-world security challenges. Future work will examine the long-term retention of knowledge and scalability across diverse learning environments.
CodeGuardians: A Gamified Learning for Enhancing Secure Coding Practices with AI-Driven Feedback Hadiprakoso, Raden Budiarto; Sihombing, Rudolf Paris Parlindungan
ULTIMA InfoSys Vol 15 No 2 (2024): Ultima Infosys: Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v15i2.3858

Abstract

This paper introduces CodeGuardians, a gamified platform designed to improve secure coding practices using AI-driven, real-time feedback. The platform focuses on key secure coding concepts, such as input validation, authentication, session management, and cryptography. Developed using the ADDIE (Analyze, Design, Develop, Implement, and Evaluate) instructional model, CodeGuardians enhances engagement and knowledge retention by incorporating interactive challenges. The AI component, powered by OpenAI, provides adaptive feedback on user-submitted code, helping users to learn secure coding practices more effectively. To assess its impact, a one-group pretest-posttest design was conducted. The results of a paired sample t-test showed a significant improvement in secure coding knowledge (t = 19.50, p = 0.048), confirming the platform's effectiveness. In addition, the system's usability was rated highly, with a score of 0.93 on the Computer System Usability Questionnaire (CSUQ), classifying it as "Very Good." The practical implications of this research suggest that CodeGuardians could be implemented in both educational and professional settings to enhance secure coding skills and reduce software vulnerabilities. From a theoretical standpoint, this study advances cybersecurity education by integrating AI-driven feedback into gamified learning environments. The research supports the theory that gamification improves engagement and learning retention, while also highlighting the value of adaptive technologies in addressing real-world security challenges. Future work will examine the long-term retention of knowledge and scalability across diverse learning environments.