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All Journal Jurnal Testing dan Implementasi Sistem Informasi INOVTEK Polbeng - Seri Informatika Scientechno: Journal of Science and Technology
Muhammad Noor
Universiti Utara Malaysia
Computer Science & IT

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Improving FAQ Retrieval for Academic Regulations Using Semantic Embeddings and LLM Question Augmentation Fajri Profesio Putra; I Gusti Agung Putu Mahendra; Agus Tedyyana; Muhammad Noor
Jurnal Testing dan Implementasi Sistem Informasi Vol. 4 No. 1 (2026): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v4i1.2176

Abstract

Academic regulations in higher education are often documented in lengthy and formal handbooks, making it difficult for students to find relevant information using everyday language. This study developed a semantic FAQ retrieval system for academic regulations using IndoSBERT and question augmentation. The FAQ corpus was constructed from official academic and internship documents, resulting in 92 FAQ entries across 33 topical categories. Seed questions were generated from category–keyword pairs and expanded using simple rule-based augmentation and FLAN-T5-based paraphrasing. The dataset was evaluated using an 80:10:10 train–validation–test split. IndoSBERT was fine-tuned with Multiple Negatives Ranking Loss under three configurations: baseline, baseline with simple augmentation, and baseline with simple plus LLM-based augmentation. Retrieval performance was measured using Recall@1, Recall@3, Recall@5, and Mean Reciprocal Rank. The best result was achieved by the simple plus LLM augmentation configuration, with Recall@1 of 0.7848, Recall@5 of 0.8987, and MRR of 0.8396. These findings show that LLM-based question augmentation improves semantic retrieval robustness while keeping answers grounded in curated academic regulations.
Improving FAQ Retrieval for Academic Regulations Using Semantic Embeddings and LLM Question Augmentation Fajri Profesio Putra; I Gusti Agung Putu Mahendra; Agus Tedyyana; Muhammad Noor
Jurnal Testing dan Implementasi Sistem Informasi Vol. 4 No. 1 (2026): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v4i1.2176

Abstract

Academic regulations in higher education are often documented in lengthy and formal handbooks, making it difficult for students to find relevant information using everyday language. This study developed a semantic FAQ retrieval system for academic regulations using IndoSBERT and question augmentation. The FAQ corpus was constructed from official academic and internship documents, resulting in 92 FAQ entries across 33 topical categories. Seed questions were generated from category–keyword pairs and expanded using simple rule-based augmentation and FLAN-T5-based paraphrasing. The dataset was evaluated using an 80:10:10 train–validation–test split. IndoSBERT was fine-tuned with Multiple Negatives Ranking Loss under three configurations: baseline, baseline with simple augmentation, and baseline with simple plus LLM-based augmentation. Retrieval performance was measured using Recall@1, Recall@3, Recall@5, and Mean Reciprocal Rank. The best result was achieved by the simple plus LLM augmentation configuration, with Recall@1 of 0.7848, Recall@5 of 0.8987, and MRR of 0.8396. These findings show that LLM-based question augmentation improves semantic retrieval robustness while keeping answers grounded in curated academic regulations.
DRASTIC: Big Data Quality in Big Data Integration Muhammad Noor; Fauziah Baharom; Haslina Mohd
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 3 (2026): August
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/ajd50z21

Abstract

In today’s digital era, organisations are increasingly relying on data-driven decision-making to enhance operational efficiency and strategic planning. Data from multiple sources should be integrated to support this movement. However, this process is complex due to the emergence of big data. Consequently, it significantly increases the challenges of managing and integrating data, which can degrade data quality and lead to poor decision outcomes. In fact, existing data quality characteristics are no longer adequate in the big data era. Therefore, this paper conducted a comprehensive literature review of peer-reviewed articles retrieved from electronic databases published between 2010 and 2025 to examine existing data quality characteristics and identify gaps related to the 5V's big data characteristics. Moreover, this paper compares and evaluates existing data quality characteristics and their sufficiency for assessing the quality of data in big data integration. Based on these evaluations, this paper proposes DRASTIC, a set of 14 data quality characteristics, with dependency and scalability introduced as new characteristics in the context of big data integration because these characteristics are underexplored in existing literature. The findings contribute to the literature by extending current data quality characteristics and addressing the challenges posed by big data's unique characteristics in data integration.
PHYSICAL TRANSFORMATION OF FLOATING HOUSES AND AHP-BASED POLICY PRIORITIES FOR WATER SETTLEMENT MANAGEMENT IN KAMPUNG AWANG LANDAS Muhammad Pajaruddin; Nurul Azkar; Sa’dianoor Sa’dianoor; Syamsul Maarif; Muhammad Noor
Scientechno: Journal of Science and Technology Vol. 5 No. 4 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientechno.v5i4.4209

Abstract

Floating-house settlements (rumah lanting) in Kampung Awang Landas remain an adaptive form of water-based housing but face physical deterioration, limited basic services, and weak policy recognition. This study examined the physical transformation of rumah lanting and identified management priorities using a sequential exploratory mixed-methods design. Qualitative exploration involved 15 informants, comprising 12 floating-house residents, two government officials, and one community elder. The subsequent assessment covered all 18 floating-house units and used Analytic Hierarchy Process (AHP) judgments from three purposively selected experts. Qualitative and observational findings were used to formulate four AHP criteria and 16 subcriteria. The results showed that 50.0% of units were in moderate condition and 27.8% were in poor condition, with the most extensive material transformation occurring in roofs and walls. AHP synthesis ranked Institutional and Government Policy as the highest-priority criterion (0.378), followed by Technical-Infrastructure (0.293), Economic-Livelihood (0.206), and Socio-Cultural and Local Wisdom (0.123). The highest-ranked subcriteria were Policy Direction (0.146), Floating-House Legality and Land Tenure Status (0.112), and Basic Utilities (0.098). The study proposes the PPAI framework, comprising Policy, Physical, Access, and Institutional dimensions, as an evidence-informed planning framework for context-sensitive floating-house settlement management in Kampung Awang Landas.
Co-Authors Agus Tedyyana, Agus Fajri Profesio Putra Fauziah Baharom Haslina Mohd I Gusti Agung Putu Mahendra Muhammad Pajaruddin Nurul Azkar Sa’dianoor Sa’dianoor Syamsul Maarif