Claim Missing Document
Check
Articles

Found 2 Documents
Search

Design and Development of Web-Based E-Learning System Using Waterfall for Evaluation Rahardian Septianto; Ari Hidayatullah
Journal of Information Systems and Technology Research Vol. 4 No. 3 (2025): September 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i3.1269

Abstract

The learning evaluation process at SMK Assyafi’iyah 02 still encounters fundamental challenges, including the absence of an integrated digital system, reliance on manual distribution of questions and answers, frequent delays in score recapitulation, and limited transparency between teachers and students. These conditions often result in inefficiency, data inaccuracy, and difficulties in monitoring students’ academic progress in real time. The research problem addressed in this study is how to design and implement a web-based e-learning application that is able to overcome these obstacles and support more effective evaluation. Therefore, the purpose of this study is to build an information system that integrates exam management, online submission, automated scoring, manual correction, a nd role-based access, with the goal of improving the speed, accuracy, and transparency of learning evaluations. This study applies the Waterfall development method consisting of requirement analysis, system design, implementation, and testing to ensure a structured and systematic process. The contribution of this research lies in providing a practical digital platform for schools that have not yet fully adopted e-learning systems, while the novelty is reflected in the integration of evaluation, communication, and monitoring features specifically adapted to the learning context of vocational schools. The testing results show that the system developed is able to reduce evaluation time, improve data accuracy, and provide better accessibility for both teachers and students.
Optical Marketplace and POS Integration Based on Content- Based Filtering Dystian En Yusgiantoro; Ari Hidayatullah
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 3 (2026): September 2026 In progress.
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i3.580

Abstract

Manual transaction management in optical businesses often results in stock data discrepancies, delays in report preparation, and limited marketing reach. This study aims to develop an optical marketplace integrated with a Point of Sales (PoS) system to synchronize transaction and stock data in real-time. In addition, a Content-Based Filtering algorithm is implemented with binary product attribute weighting and customer preference profiles based on transaction frequency, combined with multi-channel Cosine Similarity calculations to generate product recommendations based on product characteristics and customer purchase history. The study was conducted through the stages of needs analysis, system design, implementation, and functional testing using the Black-box Testing method. The results show that the integration of the marketplace and PoS successfully maintains the consistency of transaction and stock data, while the Content-Based Filtering algorithm is able to provide product recommendations that match customer preferences. This study shows that the integration of the marketplace, Point of Sales, and recommendation systems can support the digitalization of optical businesses through more efficient data management and an improved customer shopping experience.