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Integration of Blockchain and Digital Forensics for Data Transparency and Verification : A Systematic Literature Review Sri Nurhayati; Diana Effendi; Anggun Fergina; Irawan Afrianto; Estiko Rijanto; Irfan Dwiguna Sumitra
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 2 (2025): INJIISCOM: VOLUME 6, ISSUE 2, DECEMBER 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v6i2.18416

Abstract

Data integrity and transparency are increasingly critical concerns in the digital era. Various challenges in digital forensics arise from the growing prevalence of evidence manipulation and digital tampering, which can compromise the validity of legal investigations. This study conducts a systematic review of the potential application of blockchain technology as a solution for ensuring the authenticity and verification of digital data, employing the Systematic Literature Review (SLR) method guided by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. A total of 156 relevant articles sourced from the Scopus database and published between 2018 and 2025 were selected and analyzed. The results reveal a significant increase in publications since 2020, with five main research clusters identified, including the integration of Artificial Intelligence (AI) and cybersecurity. Key findings confirm that blockchain effectively functions as a trust layer, creating an immutable and transparent chain of custody. This study concludes that blockchain integration provides a strong foundation for developing more accountable, secure, and reliable digital forensic systems
Design and Development of a Web-Based Production Management Information System to Support Digital Entrepreneurship in Furniture Manufacturing: A Case Study of Prima Furniture Bandung Yogi Eka Nurdiansyah; Irfan Dwiguna Sumitra; Ganieva Nasiba Shukhrat Kizy
International Journal of Research and Applied Technology (INJURATECH) Vol. 6 No. 1 (2026): June 2026
Publisher : Universitas Komputer Indonesia

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Abstract

For small and medium-sized furniture makers, production management is still often done manually, with spreadsheets and instant-messaging chats, leaving order tracking, work scheduling and operator wage calculation vulnerable to delay, miscommunication and recording errors. A web-based production management information system for a made-to-order furniture factory is designed and built in this project. It handles sales order intake, work-order tracking through cutting, assembly and finishing, delivery and driver management and piece-rate salary computation and adds a natural-language analytics assistant to query production and sales data. Development was carried out using the Prototyping model. The cycle of communication, rapid planning, rapid design, prototype manufacturing and deployment with feedback was well suited to a scenario where requirements constantly changing on the factory floor rather than being fixed upfront. Requirements were extracted from direct observation and informal discussions with the owner and production operators, and were modelled as business-process (as-is/to-be), use case, and entity-relationship diagrams prior to implementation on a relational database with a web front end. The system was tested with blackbox testing of its core modules and a System Usability Scale (SUS) questionnaire filled out by five respondents representing the positions of administrator, sales, and production-supervisor. All the functions evaluated gave the desired outcome and the SUS score of 80.0 falls in the “Good” usability band. The results suggest that a prototyping-based web platform can pull scattered, manual furniture-production records into one real-time system, cutting recording effort, making order status traceable from intake to delivery, and giving the case-study business a firmer footing for continued growth as a digitally run enterprise
Designing a Digital Business Model for Private Tutoring in Bandung Using Business Model and Value Proposition Canvases Mochamad Yoga Adijaya; Irfan Dwiguna Sumitra; Khurvalieva Tarmiza Latipovna
International Journal of Research and Applied Technology (INJURATECH) Vol. 6 No. 1 (2026): June 2026
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injuratech.v6i1.20673

Abstract

Nowadays, Educational Technology (EdTech) is becoming increasingly more significant for the process of modern instruction, assisting students and parents in many processes. However, local private tutoring providers across Bandung face commercial pressures from expanding national EdTech firms. Because small tutoring micro-enterprises rely on manual administrative workflows and rigid face-to-face instruction, it creates the issue where they struggle to keep pace with changing parent and student preferences. This study examines the baseline (As-Is) operations connected to a local private tutoring enterprise, Les Ngaji Bandung. This is done for the purpose of identifying operational bottlenecks and constructing a scalable digital business model (To-Be). For this purpose, a qualitative case study was applied. This was carried out by means of data collection including semi-structured interviews across internal and external stakeholders, field observations, as well as internal record audits. Empirical validity was cross-checked through source triangulation. In this study, the Business Model Canvas (BMC) and Value Proposition Canvas (VPC) served as analytical tools to enable classification of operational failures. These failures are paper-based administration, hyper-localized customer recruitment, rigid session scheduling, and absent student progress tracking. Based on these findings, a lightweight hybrid digital business model is proposed. This model incorporates WhatsApp Business API, QRIS payment settlement, hyper-local SEO, and a streamlined Learning Management System (LMS). As results, this paper presents an empirical conceptual blueprint. In turn, this gives practical insights for educational micro-enterprises to improve operational efficiency and market relevance.