Jurnal Humaniora dan Ilmu Pendidikan

Fuzzy Mamdani-Based Book Recommendation System for Academic Library Services: Design, Implementation, and Evaluation

Putri Gustina — 2026-01-06

Purpose: This study aims to design, implement, and evaluate a Fuzzy Mamdani-based book recommendation system for the library of Institut Informatika dan Bisnis (IIB) Darmajaya, addressing the challenge of navigating large library collections by providing personalized, context-aware recommendations that accommodate the subjectivity inherent in user preferences. Methodology: A structured software engineering lifecycle was followed, comprising problem identification, requirement analysis, system design, implementation, testing, and evaluation. The Fuzzy Mamdani Inference System used three input variables, borrowing frequency, book rating, and difficulty level, and one output variable, with triangular membership functions, 27 If-Then rules, and centroid defuzzification, implemented using Personal Home Page (PHP), Laravel, MariaDB, and verified in Matrix Laboratory (MATLAB) R2016a.
Results: Functional testing confirmed successful operation of all system modules, and MATLAB verification demonstrated consistency between manual and automated computations, with a sample input producing a recommendation score of 4.3 via centroid defuzzification.
Conclusions: The system successfully delivered personalized recommendations, outperforming manual cataloguing approaches by providing dynamic, preference-sensitive output.
Limitations: Evaluation was limited to functional testing in a controlled environment, without representative user acceptance testing, and the 27-rule base has not been assessed for scalability to larger collections.
Contributions: This research contributes a domain-specific Mamdani inference design and a validated web-based implementation architecture, providing a replicable model for similar university libraries in Indonesia seeking to modernize information retrieval services through intelligent systems.

Development of a Biology Learning Outcome Instrument on Ecosystem and Its Interactions Using an Inquiry

Lathifah Turrohmah — 2026-01-06

Purpose: This study aims to develop and examine the psychometric quality of a biology learning outcome instrument covering the cognitive, affective, and psychomotor domains on the topic of ecosystems and their interactions through an inquiry learning approach for tenth-grade senior high school students.
Methodology: The study employed a research and development design using a simplified developmental model comprising instrument planning, blueprint development, expert validation, field testing, and empirical analysis. The instrument was validated by two evaluation experts and subsequently tested on 30 tenth-grade students at a public Islamic senior high school in Metro City, Lampung, using a 30-item multiple-choice cognitive test, an affective observation sheet, and a psychomotor rubric.
Results: Expert validation produced a mean feasibility score of 84.5 percent, categorized as good. Empirical testing showed that ten of the thirty cognitive items were valid, with a KR-21 reliability coefficient of 0.731, indicating high reliability, while the affective and psychomotor instruments produced Cronbach alpha coefficients of 0.891 and 0.724 respectively. Item difficulty and discrimination analyses indicated a predominance of moderate-difficulty items with good to very good discrimination power.
Conclusions: The developed instrument is feasible for measuring biology learning outcomes through an inquiry approach, although the cognitive component requires item revision to raise its validity rate.
Limitations: The study was restricted to a single class and a single topic, limiting generalizability.
Contributions: This study contributes a validated, ready-to-use multidimensional assessment instrument and empirical evidence that can guide biology teachers and instrument developers in designing inquiry-based evaluation tools for ecosystem-related content.