Muhammad Ridho Ardiansyah
Bina Sriwijaya Institute of Technology and Business Indonesia

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Implementation of a Chatbot-Based Learning Assistant to Support Students Understanding of Database Concepts Indah Rahma Sari; Muhammad Ridho Ardiansyah; Bella Paramitha
Journal Innovation in Information and Computer Technology Vol. 2 No. 3 (2025): (September) Journal Innovation in Information and Computer Technology (JICTECH)
Publisher : PT. Altaf Publishing Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70895/jictech.v2i3.131

Abstract

The rapid development of Artificial Intelligence has created new opportunities to improve learning processes in higher education. One of the emerging technologies is the educational chatbot, which can provide interactive, flexible, and immediate assistance to students during independent study activities. In database courses, many students experience difficulties in understanding abstract concepts such as normalization, table relationships, keys, entity relationship diagrams, and Structured Query Language (SQL). Limited classroom time and differences in student learning pace often make it difficult for lecturers to provide continuous support for all learners. This study aims to implement a chatbot-based learning assistant to support students’ understanding of database concepts. The research employed an applied research approach with a system implementation design. Data were collected through observation, questionnaires, and documentation, while the system was developed using the Waterfall model consisting of requirement analysis, design, implementation, testing, and deployment stages. The results indicate that the chatbot was successfully implemented as a web-based learning tool and received positive evaluations from students in terms of usefulness, ease of use, accessibility, response quality, and support for conceptual understanding, with an overall mean score of 4.33 in the very good category. The chatbot helped students obtain immediate explanations, review course materials, and better understand important database topics. The study concludes that chatbot technology can function as an effective supplementary learning assistant that complements traditional teaching and creates a more flexible learning environment in higher education.
Design of a Web-Based Logistics Management Information System Using PIECES Analysis at PT Cahaya Lautmas Djaya Hijrah Putri; Muhammad Ridho Ardiansyah
Journal Innovation in Information and Computer Technology Vol. 3 No. 2 (2026): (May) Journal Innovation in Information and Computer Technology (JICTECH)
Publisher : PT. Altaf Publishing Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70895/jictech.v3i2.138

Abstract

PT Cahaya Lautmas Djaya still manages several logistics activities through a semi-manual and fragmented workflow, including WhatsApp groups, Google Forms, Microsoft Excel, and physical documents. This condition causes operational problems such as slow request order approval, stock discrepancies, document mismatch, delayed material return handling, weak data control, and the risk of local data loss. This study aims to design a web-based logistics management information system using PIECES analysis to support more integrated logistics operations between the Palembang head office and the Sungai Baung site. This study used a descriptive system design approach. Data were collected through observation, interviews, and documentation of the current logistics process. The current system was analyzed using the PIECES framework, covering Performance, Information, Economics, Control, Efficiency, and Service aspects. The proposed system was modeled using Data Flow Diagram and Entity Relationship Diagram to describe data flow and database structure. The results show that the proposed system integrates digital request order, real-time approval, purchasing, QR Code-based delivery note, material tracking, automatic inventory update, return handling, access control, and cloud-based backup. The DFD design describes the flow of logistics data among users, processes, and data storage, while the ERD design supports structured relationships among users, materials, request orders, delivery notes, stock records, tracking data, and return transactions. The proposed system is expected to improve data accuracy, operational efficiency, document control, warehouse monitoring, and coordination between the head office and the site. This study is limited to the analysis and design stage; therefore, further research is recommended to continue with system implementation, black-box testing, user acceptance testing, and performance evaluation.