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Platform Adaptive Learning Berbasis NLP untuk Pembelajaran Literasi Siswa Disleksia Sekolah Dasar Cakranata, Raden Galuh Garhadi; Syafrijon, Syafrijon; Farell, Geovanne; Sandra, Randi Proska
Journal of Authentic Research Vol. 5 No. 2 (2026): May
Publisher : LITPAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/j27kax12

Abstract

Penelitian ini bertujuan mengembangkan platform pembelajaran berbasis web yang mengintegrasikan Adaptive Learning dan Natural Language Processing (NLP) untuk mendukung pembelajaran membaca dan menulis siswa sekolah dasar dengan gangguan disleksia. Permasalahan utama yang melatarbelakangi penelitian ini adalah terbatasnya platform pembelajaran digital yang mampu menyesuaikan materi, latihan, dan rekomendasi pembelajaran berdasarkan respons teks siswa disleksia. Penelitian ini menggunakan metode pengembangan perangkat lunak model Waterfall yang meliputi analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Sistem dikembangkan dengan antarmuka web AdaptLearn, backend berbasis Gin Framework, frontend berbasis Next.js, basis data PostgreSQL, cache Redis, serta keamanan autentikasi menggunakan bcrypt. Modul NLP digunakan untuk menganalisis jawaban teks siswa dan mengklasifikasikan tingkat pemahaman ke dalam kategori Paham, Cukup Paham, dan Belum Paham. Hasil pengujian menunjukkan bahwa seluruh fitur utama sistem berjalan sesuai skenario black-box testing. Evaluasi model NLP menghasilkan accuracy sebesar 0,99 dengan nilai precision, recall, dan F1-score yang tinggi pada seluruh kategori. Hasil usability testing menggunakan System Usability Scale memperoleh skor rata-rata 73,33 yang termasuk kategori baik dan acceptable. Dengan demikian, platform yang dikembangkan layak digunakan sebagai alternatif media pembelajaran literasi dasar yang lebih personal, adaptif, dan inklusif bagi siswa disleksia. This study aimed to develop a web-based learning platform integrating Adaptive Learning and Natural Language Processing (NLP) to support reading and writing instruction for elementary school students with dyslexia. The study was motivated by the limited availability of digital learning platforms that can adjust learning materials, exercises, and recommendations based on dyslexic students’ text responses. This research used the Waterfall software development model, consisting of requirements analysis, system design, implementation, testing, and maintenance. The system was implemented as the AdaptLearn web platform using a Next.js frontend, Gin Framework backend, PostgreSQL database, Redis cache, and bcrypt-based authentication security. The NLP module was designed to analyze students’ written responses and classify their understanding into three categories: Understanding, Partially Understanding, and Not Yet Understanding. The Adaptive Learning mechanism then used the NLP results and learning interactions to recommend remedial or advanced learning materials. The results showed that all major system functions performed as expected in black-box testing. NLP model evaluation produced an accuracy of 0.99, with high precision, recall, and F1-score across all categories. Usability testing using the System Usability Scale obtained an average score of 73.33, indicating good and acceptable usability. Therefore, the developed platform is feasible as an alternative digital learning medium that supports more personalized, adaptive, and inclusive literacy learning for students with dyslexia.
Implementasi Smart Contract Ethereum dengan Pendekatan Hybrid untuk Verifikasi Dokumen dan Transparansi pada Sistem Crowdfunding Beasiswa Aviola, Rawim Puja; Farell, Geovanne; Syafrijon, Syafrijon; Sandra, Randi Proska
Journal of Authentic Research Vol. 5 No. 2 (2026): May
Publisher : LITPAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/rm4ggv60

Abstract

Penelitian ini bertujuan mengimplementasikan smart contract Ethereum dengan pendekatan hybrid untuk memperkuat verifikasi dokumen dan transparansi pada sistem crowdfunding beasiswa. Permasalahan utama yang diangkat adalah rendahnya kepercayaan publik terhadap platform donasi pendidikan ketika dokumen persyaratan, status verifikasi, dan realisasi penggunaan dana hanya dikelola melalui basis data terpusat. Metode yang digunakan adalah penelitian pengembangan perangkat lunak dengan model prototype yang mencakup komunikasi kebutuhan, perencanaan cepat, pemodelan desain, konstruksi prototipe, serta penyerahan dan evaluasi umpan balik. Sistem dibangun menggunakan Next.js, SQLite, Prisma ORM, Solidity, Ethers.js, MetaMask, dan jaringan Ethereum Sepolia Testnet. Hasil penyusunan sistem menunjukkan bahwa arsitektur hybrid mampu memisahkan penyimpanan dokumen fisik secara off-chain dari pencatatan bukti integritas secara on-chain. Smart contract ScholarshipRegistry dirancang untuk mencatat hash dokumen, status verifikasi, alamat wallet verifikator, timestamp, dan log nominal donasi tanpa menggunakan mata uang kripto sebagai alat pembayaran. Fitur audit publik memungkinkan donatur dan masyarakat mencocokkan hash dokumen, memantau bukti pencairan dana, serta melaporkan indikasi kejanggalan. Secara kritis, blockchain meningkatkan integritas rekam jejak, tetapi tidak otomatis menjamin kebenaran substantif isi dokumen; karena itu validasi administratif, kontrol akses, dan mekanisme pelaporan publik tetap diperlukan. Penelitian ini berkontribusi pada model crowdfunding beasiswa yang lebih transparan, efisien, dan dapat diaudit. This study aims to implement an Ethereum smart contract using a hybrid approach to strengthen document verification and transparency in a scholarship crowdfunding system. The main problem addressed is the limited public trust in digital education donation platforms when eligibility documents, verification status, and fund realization records are controlled only through a centralized database. The study applied a software development method based on the prototype model, consisting of communication, quick planning, quick design modeling, prototype construction, and delivery with feedback evaluation. The prototype was developed using Next.js, SQLite, Prisma ORM, Solidity, Ethers.js, MetaMask, and the Ethereum Sepolia Testnet. The resulting design demonstrates that the hybrid architecture can separate physical document storage in an off-chain layer from integrity proof recording in an on-chain layer. The ScholarshipRegistry smart contract records document hashes, verification status, verifier wallet addresses, timestamps, and donation amount logs without using cryptocurrency as the payment instrument. The public audit feature enables donors and the public to compare document hashes, monitor disbursement evidence, and submit reports on suspected irregularities. Critically, blockchain improves the integrity of audit trails, but it does not automatically verify the substantive truth of uploaded documents; therefore, administrative validation, role-based access control, and participatory reporting remain necessary. This study contributes a transparent, cost-efficient, and auditable model for scholarship crowdfunding systems.
Co-Authors Adam, Al Afif Fadhilah Ahmaddul Hadi Ahmaddul Hadi, Ahmaddul Alzyoud, Mazen Ambiyar, Ambiyar Anita Yusmar Anori, Sartika Asmar Yulastri Asmara, Delvi Asrul Huda Aviola, Rawim Puja Aviska, Lady Budayawan, Khairi Bunda, Nur Intan Permata Cakranata, Raden Galuh Garhadi Dedy Irfan Delsina Faiza Denny Kurniadi Dina Febrianti Dony Novaliendry Efrizon Efrizon Elfizon Elfizon Elsy Maharani Putri Fadhila, Fajri Falma, Fris Okta Feri Ferdian Fernandes, Roy Ganefri . Hadi Kurnia Saputra Hadi Kurnia Saputra Hansi Effendi Hari Sabintang Hendriansyah, Muhammad Aditya Heri Kurniawan, Heri Herianis, Sofia Igor Novid Jannah, Amiratul Juyendra, Atifa Syalsabilla Kasman Rukun Khairi Budayawan Kurnia, Hasbi Kurniadi, Denny Lativa Mursyida Lenggogeni Lenggogeni Lise Asnur M Giatman Maghribi, Muhammad Ridho Maharani Hamidah Marta, Rizkayeni Maulani, Nike Miranda Miranda Muhamad Tegar Putra Perdana Muhammad Adri Muhammad Iqbal Muhammad Iqbal Muhammad Iqbal MUHAMMAD YUSUF Mursyida, Lativa Muskhir, Mukhlidi Mutawafika Rusliputri Muthia Shavira Mutiara Pratiwi Tarigan Nadia Dwi Nuristi Nikolaevna, Sharshova Regina Nizwardi Jalinus Novri Rahmad, Adib Nur Addina Nurhalizah, Adek Siti Pitri Yenti Putra Jaya Putra, Muhammad Alfarizi Esa Putri Zega, Martalita Rachmah Nanda Octhavira Rahmadika, Sandi Rahmatika, Hayati Raihan Maulana Resmi Darni Ridal Ardhi Rido Wahyudi Rosmiani Rosmiani Salsabila, Unik Hanifah Sandra, Randi Proska Sheanny Ocmi Sakti Simatupang, Wakhinuddin Syafrijon, Syafrijon Syah, Vidy Akbar Syahril Syahril Syukhri Syukhri Syukri, Raihan Thamrin Thamrin Thamrin Titi Sri Wahyuni Titin Sriwahyuni Tri Fadliah Sona Vera Irma Delianti Vera Irma Delianti Wahyudi, Rido Waskito Waskito Wiki Lofandri Yeka Hendriyani Yudha Aditya Fiandra Zin Latt, Cho Nwe Zulwisli .