Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Journal of Creative Power and Ambition (JCPA) CONSISTAN : Jurnal Tadris Matematika
Rezky Rahma Ruslan
Politeknik Pelayaran Surabaya
Economics, Econometrics & Finance Mathematics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Item Analysis of an Adaptive Assessment Question Bank in Maritime Vocational Education Tika Septia; Dirhamsyah; Tanti Diyah Rahmawati; Rezky Rahma Ruslan
CONSISTAN (Jurnal Tadris Matematika) Vol 4 No 01 (2026): Consistan : Jurnal Tadris Matematika
Publisher : Program Studi Tadris Matematika Fakultas Tarbiyah Institut Agama Islam Al-Qolam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35897/consistan.v4i01.2641

Abstract

Adaptive assessment systems depend on question banks whose difficulty rises in a credible way and whose items can distinguish learner performance. This study reports the design and validation of a 90-item question bank for adaptive learning in maritime mathematics at Politeknik Pelayaran Surabaya. The bank covered six STCW-aligned topics (speed-distance-time, ETA calculation, compass correction, great circle navigation, tidal height, altitude correction), arranged them across three progressive difficulty levels, and linked them to an AI-tutor system using a 2-up/2-down adaptive staircase algorithm. Validation had two parts. The maritime mathematics curriculum committee first conducted an expert pedagogical audit with a rubric covering curriculum alignment, difficulty progression, answer correctness, and linguistic clarity. Simulated pilot testing with synthetic learner profiles was then used to check whether the adaptive engine behaved as expected. In that audit, 15 of 90 items needed revision, mainly for clarity and difficulty calibration, while 75 were retained without modification. After revision, the bank still showed a balanced spread across topics and difficulty levels and maintained appropriate content validity. Simulation results likewise confirmed the intended pattern: difficulty shifted only after two consecutive correct or incorrect responses. For that reason, expert review paired with simulation offers a workable validation route for adaptive assessment systems in specialized vocational education contexts, especially when large-scale learner pilot testing is not yet feasible.
Smart Maritime Literature Recommendation System Using Retrieval-Augmented Generation Rezky Rahma Ruslan; Dirhamsyah; Tika Septia
Journal of Creative Power and Ambition (JCPA) Vol. 4 No. 02 (2026): Journal of Creative Power and Ambition (JCPA)
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/jcpa.v4i02.1753

Abstract

This study presents the development and evaluation of a Smart Literature Recommendation System (SRLC) based on Retrieval-Augmented Generation (RAG) technology to support final project (Tugas Akhir) research at Politeknik Pelayaran Surabaya. Unlike conventional keyword-based catalog search (OPAC), the SRLC employs semantic search using Gemini embedding vectors stored in ChromaDB to understand the meaning and context of user queries rather than relying on exact keyword matches. The system was populated with 6,640 bibliographic records comprising 6,261 entries from the Politeknik Pelayaran Surabaya public library catalog and 379 publications from faculty Google Scholar profiles. Each record was embedded as a high-dimensional vector, enabling natural language queries such as topic descriptions to retrieve semantically relevant literature with AI-generated explanations of relevance. The system was built using FastAPI, ChromaDB, Gemini 2.5 Flash, and React 18, deployed on a VPS accessible to cadets. Information retrieval evaluation using 15 ground truth queries yielded Precision@5 of 0.55, Recall@10 of 1.00, and Mean Reciprocal Rank of 0.90, demonstrating strong recall and ranking performance with moderate precision. The system provides cadets with 24-hour access to intelligent literature discovery, addressing the limitation of keyword-based search and restricted librarian availability. Results indicate that RAG-based recommendation systems can effectively enhance academic library services in specialized educational institutions
Co-Authors Dirhamsyah Dirhamsyah Tanti Diyah Rahmawati Tika Septia Tika Septia