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Journal : Arcitech: Journal of Computer Science and Artificial Intelligence

Perancangan Aplikasi Tabungan Siswa TK Al-Hurriyah Berbasis Web Patria, Muhammad; Bawafi, Imam; Rahayu, Adellya; Sihombing, Feny Hertati; Syahindra, Wandi
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 3 No. 1 (2023): June 2023
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v3i1.8132

Abstract

The purpose of this study was to design a student savings application at TK al-Hurriyah. The problem that arises is that the savings data management system that is currently running is still being done manually, recording and storing data is written in a book, and the calculations are still being done with a calculator. Based on the findings that show that the lack of an existing system indicates a deficiency in the software section to help manage savings data. So it is necessary to have a separate system for student savings, namely a web-based student savings information system. This study uses the system requirements method and system modeling using UML (Unified Modeling Language) to describe visually, which is then implemented with the PHP programming language (Hypertext Preprocessor) with MySQL database as the database used. The benefits of this research are expected to facilitate the process of collecting data on savings of TK al Hurriyah students and storing savings data, so that the information you want to get later will run quickly and accurately.
Analisis Komparatif Performa AES-GCM dan ChaCha20-Poly1305 dalam Enkripsi Dokumen PDF Berbasis AEAD Patria, Muhammad; Andriati, Dea Andini
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 5 No. 1 (2025): June 2025
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v5i1.13645

Abstract

Digital transformation in electronic document services demands encryption mechanisms that are not only cryptographically secure but also performance-efficient. While AES-GCM and ChaCha20-Poly1305 are widely adopted AEAD algorithms, prior research has largely focused on their use in communication protocols or IoT devices, rather than in encrypting PDF documents. This study addresses that gap by empirically comparing both algorithms in real-world digital document processing scenarios. A quantitative experimental method was applied across two scenarios: mass processing of 5,000 small-to-medium PDF files (100KB–8MB), and individual processing of large files (1MB–200MB). Five performance metrics were analyzed: encryption time, decryption time, total processing time, stability, and throughput. Results show that AES-GCM consistently outperformed ChaCha20-Poly1305 across all metrics, offering faster processing and greater stability. Both algorithms produced a constant file size overhead of 28 bytes, which was negligible in terms of storage efficiency. This study contributes to the literature by providing empirical evidence to guide the selection of encryption algorithms in high-performance digital document storage systems.
Pengembangan dan Evaluasi Usability Aplikasi Penjualan Rumah Berbasis Web terintegrasi Payment Gateway untuk Digitalisasi KPR In-House menggunakan Model Waterfall Patria, Muhammad; Wardhana, Mahardhika Dava
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 5 No. 2 (2025): December 2025
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v5i2.15155

Abstract

This study develops a web-based home sales application to support In-House Mortgage (KPR In-House) financing at PT Nirwana Propertindo Sejahtera. The previous manual process led to administrative delays, limited transaction traceability, and a high risk of data loss. However, studies addressing an end-to-end digital KPR In-House system that integrates online applications, payment gateway–based installment payments, and standardized usability evaluation remain limited. The system was developed using the Waterfall model within the System Development Life Cycle (SDLC) and includes housing catalogs, installment simulation, online KPR applications, and integrated installment payments. Evaluation was conducted using Black Box Testing and the System Usability Scale (SUS). The results show that all system functions operate as expected and achieved a SUS score of 88.25, indicating high usability. The implementation improves transaction traceability, reduces the risk of document loss, and supports payment transparency. This study contributes an end-to-end digital KPR In-House process model, payment gateway integration, and empirical usability evidence.
Implementasi Customer Relationship Management Digital pada Sektor Jasa Kebersihan Menggunakan Metode Waterfall Fadilah, Denny; Patria, Muhammad
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 5 No. 2 (2025): December 2025
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v5i2.15156

Abstract

The customer complaint management system in cleaning service companies still relies heavily on manual processes, while previous studies have focused more on the implementation of general CRM without focusing on structured ticketing mechanisms and system usability evaluation. This study aims to design and implement a web-based Customer Relationship Management system in the cleaning services sector using the Waterfall method, with an emphasis on single ticket ownership, clear resolution flows, and usability evaluation. The research uses a mixed method approach through observation, interviews, and documentation studies, as well as system testing using User Acceptance Test and System Usability Scale. The SUS test involved 15 respondents and produced an average score of 75.83, which is in the good category, indicating an adequate level of system usability. The UAT results show that all the main functions of the system run according to user operational needs. This research provides practical contributions in the form of a measurable CRM ticketing implementation model for cleaning service companies and academic contributions through empirical evidence of Waterfall-based CRM usability in the context of cleaning services.