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Journal : Computing and Education Technology Journal

Optimizing Scientific Document Similarity Detection Using Jaro–Winkler and Machine Learning Santosa, Firman; Chandra, Detri Amelia; Wahyudi, Sri; Ridwan, Ridwan; Rahmat, Rahmat
Computing and Education Technology Journal Vol 6, No 1 (2026): APRIL
Publisher : Pendidikan Komputer FKIP Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/cetj.v6i1.18697

Abstract

Penelitian ini bertujuan mengembangkan sistem deteksi kesamaan dokumen ilmiah berbasis integrasi algoritma Jaro–Winkler dan teknik machine learning sebagai dukungan awal menjaga integritas akademik. Metode yang digunakan adalah penelitian terapan dengan pendekatan pengembangan sistem (analisis kebutuhan, perancangan arsitektur, implementasi aplikasi, dan pengujian fungsional). Objek penelitian berupa dokumen ilmiah yang difokuskan pada judul dan abstrak artikel jurnal; data pembanding diperoleh melalui integrasi Open Journal Systems (OJS) menggunakan REST API. Hasil penelitian menunjukkan bahwa aplikasi JARWIN mampu melakukan pra-pemrosesan teks, menghitung kemiripan berbasis Jaro–Winkler per kata dan rekap per jurnal, menyimpan jejak hasil pemeriksaan, serta menyediakan dashboard administrasi untuk pengelolaan data pembanding dan riwayat pemeriksaan. Kebaruan penelitian terletak pada implementasi similarity engine Jaro–Winkler yang terintegrasi dengan arsitektur aplikasi modular (siap diperluas menjadi model hybrid berbasis machine learning) dan mekanisme sinkronisasi dataset jurnal dari OJS, sehingga sistem dapat digunakan sebagai fondasi operasional pemeriksaan awal kemiripan dokumen ilmiah di lingkungan perguruan tinggi.
Development of Digital Learning Media to Strengthen Literacy and Numeracy in SDN 015 Rambah Chandra, Detri Amelia; Muslim, Muslim; Santosa, Firman; Dwiana, Ari Aprilia; Fianti, Santi Nurul
Computing and Education Technology Journal Vol 6, No 1 (2026): APRIL
Publisher : Pendidikan Komputer FKIP Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/cetj.v6i1.18692

Abstract

This study aimed to develop digital learning media to strengthen literacy and numeracy among fourth-grade students at SDN 015 Rambah and to examine its feasibility and effectiveness. The study employed a Research and Development (R&D) method using the ADDIE model, consisting of analysis, design, development, implementation, and evaluation stages, while the effectiveness test used a one-group pretest-posttest design. The limited trial involved 20 fourth-grade students, and product validation involved four validators, consisting of two material experts and two media experts. Data were collected through observation, interviews, validation sheets, and literacy-numeracy pre-test and post-test instruments covering information comprehension, numerical reasoning, contextual problem solving, and simple data interpretation. The data were analyzed descriptively and using the N-Gain index. The results showed that the developed media took the form of a lightweight, interactive, multi-device educational game application based on Progressive Web App (PWA) technology and was suitable for use under limited internet connectivity. The material expert validation score was 4.60 and the media expert validation score was 4.40, with an overall mean of 4.50 categorized as very feasible. The effectiveness test showed that students' mean score increased from 57.45 to 82.55, with an average N-Gain of 0.59 in the moderate category, indicating that the media was effective. The novelty of this study lies in the development of a PWA-based literacy and numeracy medium without a backend server that integrates concise materials, interactive exercises, immediate feedback, gamification, and local progress storage for elementary school settings with limited infrastructure. Therefore, the developed media is highly feasible and effective as a supporting tool for literacy and numeracy learning in elementary schools.