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Strategi Belajar Mahasiswa terhadap Pengembangan Keterampilan Berbicara Citra Kusumaningsih; Baharuddin JH; Finny Anita
Jurnal Pendidikan Bahasa Vol 9, No 2 (2020): Jurnal Pendidikan Bahasa
Publisher : IKIP PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/bahasa.v9i2.2319

Abstract

In the current pandemic situation, reaching the goals of learners’ speaking skill fluently and accurately are not enough only determined by the lecturers’ strategy but also learners’ enthusiasm to use appropriate speaking learning strategy. The presents study aimed to identify what speaking learning strategy used by the learners, different strategies used by learners’ who are having low and high achievement, and then the dominant strategy employed by the learners. The study applied descriptive study, then the participants were 50 third semester students, chosen from 5 classes of English education study program of IKIP PGRI Pontianak. The tools of collecting data, the participants were asked to fill a questionnaire and to do a speaking test. The findings revealed all strategies almost used by the learners to develop their speaking skill, meanwhile the different strategies used by the students who are having low and high achievement are found in frequency of use the strategies and varieties of strategy in learning speaking skill. From the six strategies of learning speaking skill, as indicated in this study, the dominant strategy which have been employed by the learners is afektif strategy. 
Perancangan Sistem Pakar Rekomendasi Jurusan Perguruan Tinggi Universitas PGRI Pontianak Berbasis Web Baharuddin J.H.; Anggun Cynthia Putri; Augenia Angela Angie Hervian
Science Tech: Jurnal Ilmu Pengetahuan dan Teknologi Vol 11 No 2 (2025): August
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/st.vol11.no2.a20538

Abstract

In Indonesia, the rate of inaccurate major selection among first-year university students reaches 35%, primarily caused by external pressures without adequate self-assessment, leading to a 68% decrease in learning motivation and an increase in the dropout rate by 25%. This study aims to design a web-based expert system using a weighted forward-chaining algorithm to provide accurate major recommendations with a minimum accuracy of ≥80%, while also evaluating user acceptance levels. The research adopts a Research and Development (R&D) approach with a Model-View-Controller (MVC) architecture and a knowledge base comprising 50 decision rules integrating academic performance, RIASEC test results (30 items), non-academic experiences (15 items), and career aspirations (6 items). Validation involved 120 high school students (Grade XII) in West Kalimantan, employing a confusion matrix for accuracy testing and the System Usability Scale (SUS) for usability evaluation. Results show the system achieved 86% accuracy, 85% precision, 87% recall, with an average response time of 2.3 seconds. Expert validation yielded scores ranging from 4.0 to 4.4/5.0, while the SUS score reached 82.5±6.3 (“Excellent” category), with a 40% improvement in user trust through the explanation facility. The proposed expert system effectively provides accurate, adaptive, and user-accepted recommendations, contributing to reducing major mismatch and supporting the digital transformation of higher education.