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Nugroho, Meriana Wahyu
Universitas Hasyim Asy’ari Tebuireng Jombang
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Journal : journal of embedded systems security and intelligent systems

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Automated Assessment of Research Grant Proposals Using Hybrid Semantic-Tabular Machine Learning: An Application to the SRIKANDI Research Management System Edwin Hari Agus Prastyo; Meriana Wahyu Nugroho; Reza Augusta Jannatul Firdaus; Tanhella Zein Vitadiar
Journal of Embedded Systems, Security and Intelligent Systems Vol 7 No 2 (2026): June 2026
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v7i2.12634

Abstract

Purpose – This study aims to develop and evaluate a hybrid semantic-tabular machine learning framework for supporting the automated assessment of research grant proposals in the SRIKANDI Research Management System at Universitas Hasyim Asy’ari Tebuireng Jombang. Design/methods/approach – The study employed a computational experimental design using historical institutional proposal data from the SRIKANDI system. A total of 190 proposals were labeled based on the institutional LPPM scoring threshold, consisting of 107 approved and 83 not approved proposals. The proposed framework integrates semantic features extracted from proposal narratives using IndoBERT with structured tabular features, including document completeness, proposal score, text quality, budget information, research field, and proposer track-record indicators. The fused 786-dimensional feature representation was classified using a Random Forest model with balanced class weights. Model performance was evaluated using accuracy, precision, recall, F1-score, ROC-AUC, confusion matrix analysis, and SHAP-based explainability. Findings – The hybrid model achieved strong predictive performance on the holdout test set, with 96.55% accuracy, 96.54% weighted F1-score, 96.75% weighted precision, 96.55% weighted recall, and ROC-AUC of 1.0000. The model correctly classified all approved proposals and misclassified only one not-approved proposal. SHAP analysis showed that word count, reference count, proposal text quality, and proposal score were the most interpretable contributors, while IndoBERT semantic dimensions added meaningful predictive value beyond administrative features. Research implications/limitations – The findings indicate that hybrid semantic-tabular learning can support more consistent and transparent preliminary proposal screening. However, the study is limited by its single-institution dataset, relatively small sample size, high feature-to-sample ratio, and dependence on score-threshold labeling. Originality/value – This study contributes a replicable explainable AI framework that combines Indonesian-language semantic representation, institutional tabular features, and SHAP-based interpretability for research grant proposal assessment within a university research management system.
Co-Authors - Susilowati, - A'izzatul Khiyana A'izzatul Khiyana Abdiyah Amudi Abdiyah Amudi, Abdiyah Abdul kholil Af'idah, Noer Afnan Ashiddiq Virgatara Setyawan Agung Prasetyo Agus Purnomo Ahmad Dhiyaur Rahman Aida Arini Amudi , Abdiyah Andi Dwi Kurniawan Andik Nur Azis Andim Rendy Setiawan Anita Anjani Aprey Vita Wulan Sari Arrozaq, Muhammad Arif Asriana kibtiyah A’izzatul Khiyana bachrudin, mohammad Basuki , Candra Prasetyo Dasega Arya Eka Cipta Diah Palupi, Budi Rahayu Dian Anisa Rokhmah Wati Dimas Katon Rusdiana Dimas Ubaidillah Dita Irtanti Febrianita Dita Nafa Anggraeni DWI SURYANTO Dwinata, Anggara Edwin Hari Agus Prastyo Emy Yunita Rahma Pratiwi, Emy Yunita Rahma Evi Rizqi Salamah Evi Rizqi Salamah, Evi Rizqi Fachrurozi, Riyan Fahrisal Gunawan Fahrisal Gunawan Fajar Satriya Hadi Fatikhatun Nikmatus Sholihah Fatma Ayu Nuning F.A Fernando Putra.A Hakim, Andy Luqman Heri Prawoto Herry Widhiarto, Herry Hidayatuloh, Suryo I Kadek Dwi Nuryana, I Kadek Dwi Imamatul Ummah Irra Purnomo, Amellia Intan Putri Ismatud Dianah Amir Ita Suhermin Ingsih Khodijah Maya Kusnul Ciptanila Yuni K Laela Akmalinda Assoraya Leny Suryaning Astutik Lutfi Sultoni Lyya Supriono M Basyar Syarif Hidayatulloh M. Maulana Rahmatullah M. Robani Madu Sonia Mayasari , Andhika Minto Mohammad Johan Mohammad Nur Fatta Muzzakki Muhamad Fauzan Endar Muhammad Abdun Jamil Muhammad Imam Subekti Mutrofin, Akmam Nailul Izzati Niken Grah Prihartanti Niken Grah Prihartanti Noer Af'idah Nur Khabibah, Dewi Nur Kholis Nur Rizka Amalia Nurmaiyati Zamzamiyah Pranayudha, Agusti Samsu Pranayudha Prastiyo, Muhammad Primasworo, Rifky Aldila Prista Wahyuningsih Raharja, Hawwin Fitra Rahma Ramadhani Rahma Ramadhani Rahmat Tri Prasetya Retno Eka Pramitasari Reza Augusta Jannatul Firdaus Riky Dwi Prayogo Risma Risma Rizka Mudyanti Rizka Mudyanti Roesdyningtyas Dyah Anggraeny, Ayu Romadhon Tri Anggoro Ruladilah, Eka Karunia Safi Faozi Sakti Sakti Suci Prihatiningtyas Sulung Rahmawan Wira Ghani Sulung Rahmawan Wira Ghani Sumarsono Sumarsono Sumarsono Sumarsono Sumarsono Sundari, Tiitin Sundari, Titin Suryani Maharani Saleh Susilowati Susilowati Susilowati Susilowati Susilowati Susilowati Tanhella Zein Vitadiar Taufik Hidayatullah Taufiq Taufiq Titin Sundari Titin Sundari Titin Sundari Totok Yulianto Totok Yulianto Totok Yulianto Totok Yulianto Totok Yulianto Totok Yulianto Totok Yulianto Totok Yulianto Totok Yulianto Tri Rijanto Veithzal Rivai Zainal Wijanarko, Nadia Parwaty Zainal Abidin Zulfikar Ali Ahmad Zulvaida, Indana